Fujitsu Limited

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Type PI
        Brevet 18 696
        Marque 503
Juridiction
        États-Unis 9 998
        International 8 817
        Europe 200
        Canada 184
Propriétaire / Filiale
[Owner] Fujitsu Limited 19 199
Fujitsu Advanced Engineering Limited 6
Fujitsu Ten Limited 5
Fujitsu Semiconductor Limited 5
Fujitsu Component Limited 5
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Date
Nouveautés (dernières 4 semaines) 72
2024 mai (MACJ) 47
2024 avril 78
2024 mars 65
2024 février 67
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Classe IPC
H04W 72/04 - Affectation de ressources sans fil 727
G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement 432
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales 425
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet 391
G06F 9/50 - Allocation de ressources, p.ex. de l'unité centrale de traitement [UCT] 373
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Classe NICE
09 - Appareils et instruments scientifiques et électriques 458
42 - Services scientifiques, technologiques et industriels, recherche et conception 381
35 - Publicité; Affaires commerciales 126
41 - Éducation, divertissements, activités sportives et culturelles 84
38 - Services de télécommunications 77
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Statut
En Instance 1 319
Enregistré / En vigueur 17 880
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1.

COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18480535
Statut En instance
Date de dépôt 2023-10-04
Date de la première publication 2024-05-16
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Nishigaki, Masaki

Abrégé

A recording medium stores a program causing a computer to execute a process including: acquiring first incompatibility information, which is information for searching for a description incompatible with second software from source code that uses first software and indicates a condition for a keyword of language elements and a positional relationship between the language elements; extracting keywords from the first incompatibility information, generating first frequency information based on appearance frequency of a same keyword, and generating first order information that indicates an appearance order of the keywords estimated from a condition of the positional relationship; and based on a first degree of similarity between the first and second frequency information corresponding to second incompatibility information and a second degree of similarity between the first and second order information corresponding to the second incompatibility information, determining identity between the first and second incompatibility information.

Classes IPC  ?

2.

DOMAIN-SPECIFIC TEXT LABELLING USING NATURAL LANGUAGE INFERENCE MODEL

      
Numéro d'application 18055862
Statut En instance
Date de dépôt 2022-11-16
Date de la première publication 2024-05-16
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Chen, Wei-Peng
  • Bahrami, Mehdi
  • Liu, Lei

Abrégé

In an embodiment, a set of texts associated with a domain is received. A set of hypothesis statements associated with the domain is received. A pre-trained natural language inference (NLI) model is applied on each of the received set of texts and on each of the received set of hypothesis statements. A second text corpus associated with the domain is generated. The generated second text corpus corresponds to a set of labels associated with the domain. A few-shot learning model is applied on the generated second text corpus to generate a third text corpus associated with the domain. The generated third text corpus is configured to fine-tune the applied pre-trained NLI model, and the fine-tuned NLI model is configured to label an input text associated with the domain. A display of the labelled input text on a display device is controlled.

Classes IPC  ?

  • G06F 40/40 - Traitement ou traduction du langage naturel

3.

AVATAR CONTROL

      
Numéro d'application 18192607
Statut En instance
Date de dépôt 2023-03-29
Date de la première publication 2024-05-16
Propriétaire
  • Fujitsu Limited (Japon)
  • CARNEGIE MELLON UNIVERSITY (USA)
Inventeur(s)
  • Yu, Heng
  • Niinuma, Koichiro
  • Jeni, Laszlo

Abrégé

In an example, a method may include obtaining, from a data source, first data including multiple frames each including a human face. The method may include automatically detecting, in each of the multiple frames, one or more facial landmarks and one or more action units (AUs) associated with the human face. The method may also include automatically generating one or more semantic masks based at least on the one or more facial landmarks, the one or more semantic masks individually corresponding to the human face. The method may further include obtaining a facial hyperspace using at least the first data, the one or more AUs, and the semantic masks. The method may also include generating a synthetic image of the human face using a first frame of the multiple frames and one or more AU intensities individually associated with the one or more AUs.

Classes IPC  ?

  • G06T 13/40 - Animation tridimensionnelle [3D] de personnages, p.ex. d’êtres humains, d’animaux ou d’êtres virtuels
  • G06T 17/00 - Modélisation tridimensionnelle [3D] pour infographie
  • G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions

4.

AUTOMATED CUSTOM FEATURE ENGINEERING

      
Numéro d'application 17987756
Statut En instance
Date de dépôt 2022-11-15
Date de la première publication 2024-05-16
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Bahrami, Mehdi
  • Deng, Yinlin
  • Prasad, Mukul R.

Abrégé

A method may include obtaining a dataset that may include one or more columns, wherein each of the one or more columns may include a title and at least one value. The operations may further include extracting, for each of the one or more columns, the title and a sample value from the at least one value. The operations may additionally include, synthesizing a question based on the title and the sample value for each of the one or more columns. Further, the operations may include sending the question to a language model to obtain an answer. The operations may additionally include generating from the answer to the question, a predicted unit of measurement for the at least one value in each of the one or more columns. Systems and devices for performing the method are also disclosed.

Classes IPC  ?

  • G06N 20/00 - Apprentissage automatique
  • G06F 16/22 - Indexation; Structures de données à cet effet; Structures de stockage
  • G06F 40/30 - Analyse sémantique
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

5.

COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, METHOD FOR PROCESSING INFORMATION, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18461454
Statut En instance
Date de dépôt 2023-09-05
Date de la première publication 2024-05-16
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Chang, Shuang
  • Asai, Tatsuya
  • Maruhashi, Koji

Abrégé

A medium storing a program for causing a computer to execute processing including: obtaining pieces of combination data each including attribute information indicating attributes of a person and information indicating which choice is selected from choices; generating, for each choice, converted data obtained by converting the information into information indicating whether the choice is selected; identifying, for each choice, based on the converted data, an attribute, from the attributes, that has a correlation greater than a criterion with the selection of the choice and a condition; identifying a common condition among conditions of different choices based on the condition; and determining a plan for improving a selection result of the choice for a target who matches one of the different choices and who matches the common condition based on a result of an analysis between the attributes and the choice by using the converted data matching the common condition.

Classes IPC  ?

  • G16H 20/00 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p.ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients

6.

DATA TRANSMISSION APPARATUS, DATA SENDING APPARATUS, AND METHOD

      
Numéro d'application CN2022130732
Numéro de publication 2024/098267
Statut Délivré - en vigueur
Date de dépôt 2022-11-08
Date de publication 2024-05-16
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Yi, Su
  • Li, Guorong
  • Jia, Meiyi
  • Lu, Yang

Abrégé

Provided in the embodiments of the present application are a data transmission apparatus, a data sending apparatus, and a method. The data transmission apparatus comprises: a transmission unit, which performs, according to first information, repeated transmission or/and separate transmission and/or dual active protocol stack (DAPS) handover on a protocol data unit (PDU) carried by a data radio bearer (DRB), wherein one DRB comprises at least one PDU group, and the PDU group comprises at least one PDU set having the same predetermined first information.

Classes IPC  ?

  • H04W 28/02 - Gestion du trafic, p.ex. régulation de flux ou d'encombrement
  • H04W 76/27 - Transitions entre états de commande de ressources radio [RRC]

7.

COMPUTER-READABLE RECORDING MEDIUM STORING DATA GENERATION PROGRAM, DATA GENERATION METHOD, AND DATA GENERATION DEVICE

      
Numéro d'application 18454030
Statut En instance
Date de dépôt 2023-08-22
Date de la première publication 2024-05-16
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Sonoda, Ryosuke

Abrégé

A non-transitory computer-readable recording medium storing a data generation program for causing a computer to execute processing including: selecting, based on first distribution of data included in a first data group in which a value of a first attribute is a first value among a plurality of data groups obtained by classifying a plurality of pieces of data based on an attribute, first data from a second data group in which the value of the first attribute is a second value among the plurality of data groups; and generating new data in which the value of the first attribute is the second value based on the first data.

Classes IPC  ?

8.

LOCALIZATION OF AN ANOMALY IN AN OPTICAL TRANSMISSION SYSTEM

      
Numéro d'application 17986815
Statut En instance
Date de dépôt 2022-11-14
Date de la première publication 2024-05-16
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Kim, Inwoong
  • Vassilieva, Olga I.
  • Palacharla, Paparao

Abrégé

In an example, a method may include a first optical signal and a second optical signal being obtained by a receiving device. The first optical signal may include a first wavelength and the second optical signal may include a second wavelength. The method may also include obtaining a determination that a dynamic anomaly may be present in the transmission medium. In response to the determination that a dynamic anomaly is present in the transmission medium, a relationship between the first optical signal and the second optical signal may be determined to obtain a time delay. The method may include using the time delay, the first wavelength, and the second wavelength to determine an anomaly location in the transmission medium.

Classes IPC  ?

  • H04B 10/079 - Dispositions pour la surveillance ou le test de systèmes de transmission; Dispositions pour la mesure des défauts de systèmes de transmission utilisant un signal en service utilisant des mesures du signal de données

9.

METHOD FOR TRANSMITTING INFORMATION, METHOD FOR PROCESSING INFORMATION AND APPARATUSES THEREOF

      
Numéro d'application 18419705
Statut En instance
Date de dépôt 2024-01-23
Date de la première publication 2024-05-16
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Yi, Su
  • Jia, Meiyi
  • Li, Guorong
  • Aikawa, Shinichiro

Abrégé

An apparatus for transmitting information, applicable to a first node, includes: processor circuitry configured to connect to a plurality of parent nodes, wherein a radio link failure (RLF) occurs in a master cell group (MCG); and a transmitter configured to transmit failure information to an F1-terminating node of the first node via first F1 application protocol (F1AP) signaling.

Classes IPC  ?

  • H04W 76/19 - Rétablissement de connexion
  • H04W 76/15 - Gestion de la connexion Établissement de la connexion Établissement de connexions à liens multiples sans fil

10.

SEMICONDUCTOR DEVICE AND MANUFACTURING METHOD

      
Numéro d'application 18469177
Statut En instance
Date de dépôt 2023-09-18
Date de la première publication 2024-05-16
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Kumazaki, Yusuke
  • Ozaki, Shirou
  • Okamoto, Naoya
  • Nakasha, Yasuhiro
  • Ohki, Toshihiro

Abrégé

A semiconductor device includes a semiconductor layer including an electron transit layer and an electron supply layer; a gate electrode, a source electrode and a drain electrode, the gate electrode, the source electrode and the drain electrode being disposed on the semiconductor layer; and a metal film connected to the gate electrode, wherein the semiconductor layer includes an active region, and an inactive region surrounding the active region in plan view, wherein the gate electrode includes, in plan view, a first region overlapping the active region, and two second regions having the first region interposed therebetween, the two second regions both overlapping the inactive region, and wherein the metal film contacts the two second regions.

Classes IPC  ?

  • H01L 29/778 - Transistors à effet de champ avec un canal à gaz de porteurs de charge à deux dimensions, p.ex. transistors à effet de champ à haute mobilité électronique HEMT
  • H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
  • H01L 29/66 - Types de dispositifs semi-conducteurs

11.

UNIT PREDICTION FOR CUSTOM FEATURE ENGINEERING

      
Numéro d'application 17988651
Statut En instance
Date de dépôt 2022-11-16
Date de la première publication 2024-05-16
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Liu, Lei
  • Deng, Yinlin
  • Bahrami, Mehdi
  • Prasad, Mukul R.

Abrégé

A method may include obtaining a dataset that may include at least a first column and a second column, with a first title and a first value and a second title and a second value, respectively. The operations may further include determining a total similarity value between the first and second columns based on a metadata similarity value, a semantic similarity value, and/or a unit of measurement similarity value; adding the first and second columns to a cluster if the total similarity value is less than a threshold value; generating a new column to add to the cluster using a feature engineering function, where the new column may include a new title and a new value, the new value determined using the feature engineering function by acting on the first value and/or the second value. Further, the operations may include adding the new column to the dataset.

Classes IPC  ?

12.

INFORMATION TRANSCEIVING METHOD AND APPARATUS

      
Numéro d'application CN2022130266
Numéro de publication 2024/098184
Statut Délivré - en vigueur
Date de dépôt 2022-11-07
Date de publication 2024-05-16
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Sun, Gang
  • Wang, Xin

Abrégé

Provided in the embodiments of the present application are an information transceiving method and apparatus. The method comprises: a network device transmitting reporting configuration information to a terminal device, wherein the reporting configuration information includes first related information of a set of first reference signals, and/or second related information of a set of first receiving beams, and/or third related information of a set of first transceiving beam pairs including first transmitting beams and first receiving beams; and receiving a measurement report transmitted by the terminal device, wherein the measurement report includes measurement results corresponding to first reference signals in the set of first reference signals, and/or measurement results corresponding to first receiving beams in the set of first receiving beams, and/or measurement results corresponding to first transceiving beam pairs in the set of first transceiving beam pairs.

Classes IPC  ?

  • H04L 27/26 - Systèmes utilisant des codes à fréquences multiples

13.

METHOD AND APPARATUS FOR CELL ACTIVATION OR DEACTIVATION

      
Numéro d'application CN2022129691
Numéro de publication 2024/092680
Statut Délivré - en vigueur
Date de dépôt 2022-11-03
Date de publication 2024-05-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Jia, Meiyi
  • Zhang, Jian

Abrégé

Provided in the embodiments of the present application are a method and apparatus for cell activation or deactivation. The method comprises: a terminal device receiving a cell change command sent by a network device; and according to a condition related to cell activation or deactivation, the terminal device activating or deactivating a cell indicated by or associated with the cell change command. According to the embodiments of the present application, after receiving a cell change command or after receiving an (enhanced) SCell activation or deactivation MAC CE, a terminal device activates or deactivates a cell, which is indicated by or associated with a cell change command, according to an activated or deactivated state of a cell configured by means of RRC signaling, or according to an activated or deactivated state of a cell group where a cell configured by means of RRC signaling is located, or according to a deactivation timer, such that the activated/deactivated state of the cell can be determined.

Classes IPC  ?

14.

INFORMATION TRANSCEIVING METHOD AND APPARATUS

      
Numéro d'application CN2022129856
Numéro de publication 2024/092716
Statut Délivré - en vigueur
Date de dépôt 2022-11-04
Date de publication 2024-05-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Sun, Gang
  • Wang, Xin

Abrégé

Embodiments of the present application provide an information transceiving method and apparatus. The method comprises: a network device sending configuration parameters for monitoring performance of one or more AI models to a terminal device; and receiving a performance monitoring result of one or more AI models sent by the terminal device.

Classes IPC  ?

  • H04W 24/08 - Réalisation de tests en trafic réel

15.

DATA MAPPING DEVICE AND METHOD

      
Numéro d'application CN2022129899
Numéro de publication 2024/092725
Statut Délivré - en vigueur
Date de dépôt 2022-11-04
Date de publication 2024-05-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Yi, Su
  • Li, Guorong
  • Lu, Yang

Abrégé

Embodiments of the present application provide a data mapping device and method. The method comprises: mapping at least one QoS flow to at least one data radio bearer (DRB), the at least one DRB comprising at least one protocol data unit (PDU) group, wherein the PDU group comprises at least one PDU set; and mapping at least one PDU group on the at least one DRB onto a corresponding radio link control (RLC) bearer according to first information related to the PDU set. Therefore, data streams with different first information are supported to be mapped into resources of a corresponding access network, thereby further improving the efficiency during resource allocation and packet loss processing, and reducing the waste of resources.

Classes IPC  ?

  • H04W 28/02 - Gestion du trafic, p.ex. régulation de flux ou d'encombrement
  • H04L 27/00 - Systèmes à porteuse modulée

16.

INFORMATION INDICATION METHOD, AND REPEATER AND NETWORK DEVICE

      
Numéro d'application CN2022130145
Numéro de publication 2024/092836
Statut Délivré - en vigueur
Date de dépôt 2022-11-04
Date de publication 2024-05-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Jiang, Qinyan
  • Zhang, Lei
  • Tian, Yan

Abrégé

Provided in the embodiments of the present application are an information indication method, and a repeater and a network device. The method comprises: a mobile terminal of a repeater receiving first control information, wherein the first control information at least comprises first information used for indicating a time-domain resource; and a forwarding unit of the repeater is in a first state, a second state or a third state on the time-domain resource indicated by means of the first information.

Classes IPC  ?

  • H04L 5/00 - Dispositions destinées à permettre l'usage multiple de la voie de transmission
  • H04W 52/02 - Dispositions d'économie de puissance

17.

METHOD AND APPARATUS FOR REPORTING DELAY INFORMATION

      
Numéro d'application CN2022129560
Numéro de publication 2024/092619
Statut Délivré - en vigueur
Date de dépôt 2022-11-03
Date de publication 2024-05-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Li, Guorong
  • Yi, Su
  • Wang, Xin

Abrégé

Provided in the embodiments of the present application are a method and apparatus for reporting delay information. The method comprises: a terminal device determining remaining time to be reported (301); and the terminal device sending a delay information report to a network device, wherein the delay information report comprises said remaining time (302). Thus, the present application facilitates a terminal device sending a delay information report to a network device in a timely manner. Furthermore, the network device can allocate, according to the content of the delay information report and in a timely manner, a suitable uplink resource for the transmission of an XR service, which is conducive to meeting the delay requirement of the XR service, thereby ensuring the QoS of the XR service, such that the utilization rate of radio resources can also be increased.

Classes IPC  ?

  • H04W 28/02 - Gestion du trafic, p.ex. régulation de flux ou d'encombrement

18.

BASE STATION DEVICE, TERMINAL DEVICE, AND WIRELESS COMMUNICATION SYSTEM

      
Numéro d'application JP2022040979
Numéro de publication 2024/095391
Statut Délivré - en vigueur
Date de dépôt 2022-11-02
Date de publication 2024-05-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Kobayashi Ryosuke

Abrégé

This base station device is used in a wireless communication system in which a cumulative value of the transmission output of a terminal device during a first period is restricted, and has: a transmission unit for transmitting transmission output report settings that include an alert threshold value to the terminal device; a reception unit for receiving a transmission output report transmitted from the terminal device and including alert information, when a management value pertaining to the transmission output of the terminal device during the first period has crossed the alert threshold value; and a control unit for controlling uplink signal transmission of the terminal device when the transmission output report including the alert information has been received.

Classes IPC  ?

  • H04W 52/30 - Commande de puissance d'émission [TPC Transmission power control] utilisant les limitations de la quantité totale de puissance d'émission disponible
  • H04W 8/22 - Traitement ou transfert des données du terminal, p.ex. statut ou capacités physiques
  • H04W 24/10 - Planification des comptes-rendus de mesures
  • H04W 52/28 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué selon des paramètres spécifiques utilisant le profil utilisateur, p.ex. la vitesse, la priorité ou l'état du réseau, p.ex. en attente, libre ou absence de transmission
  • H04W 52/44 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué dans des situations particulières dans le cadre d'une interruption de transmission

19.

IMAGE PROCESSING PROGRAM, IMAGE PROCESSING METHOD, DETECTION PROGRAM, DETECTION METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application JP2022041108
Numéro de publication 2024/095434
Statut Délivré - en vigueur
Date de dépôt 2022-11-04
Date de publication 2024-05-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Nakamura, Fuya
  • Takeuchi, Masaki

Abrégé

The present invention reduces the difference between methods for capturing images to be used for machine-learning. The information processing device generates a histogram that indicates the number of pixels for each brightness value of a first image of a first subject captured in a first image-capturing condition. In addition, the information processing device generates a histogram that indicates the number of pixels for each brightness value of a second image of a second subject of the same type as the first subject captured in a second image-capturing condition. Then, the information processing device generates a conversion rule, by which the similarity of the histogram of the first image and the histogram of the second image is improved, for the pixel brightness values of the second image. Then, the information processing device converts, according to the conversion rule, the brightness value of each pixel of a third image of a third subject of the same type as the first subject captured in the second image-capturing condition. In addition, the information processing device executes machine-learning using the third image of which the brightness values are converted.

Classes IPC  ?

  • A61B 6/03 - Tomographes assistés par ordinateur

20.

SIMULATION PROGRAM, SIMULATION METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application JP2022041119
Numéro de publication 2024/095438
Statut Délivré - en vigueur
Date de dépôt 2022-11-04
Date de publication 2024-05-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Fujisaki, Jun

Abrégé

The present invention improves the efficiency of calculating the probability of occurrence of logical errors. An information processing device (10) generates error patterns (2-4) indicating a first data qubit that generates an error among a plurality of data qubits included in a two-dimensional lattice array in which the plurality of data qubits and a plurality of auxiliary qubits are arranged alternately in each of the row and column directions. The information processing device (10) determines whether or not the first data qubit indicated in the error patterns (2-4) meets predetermined determination criteria. If the determination criteria are met, the information processing device (10) determines that no logical error occurs in the error patterns (2-4). If the determination criteria are not met, the information processing device (10) determines whether or not a logical error has occurred on the basis of error detection information with flipped states of the auxiliary qubits adjacent to the first data qubit in the row or column direction as indicated in the error patterns (2-4).

Classes IPC  ?

  • G06N 10/70 - Correction, détection ou prévention d’erreur quantique, p.ex. codes de surface ou distillation d’état magique

21.

COMPARISON SCORE CALCULATION METHOD, COMPARISON SCORE CALCULATION DEVICE, COMPARISON SCORE CALCULATION SYSTEM, AND COMPARISON SCORE CALCULATION PROGRAM

      
Numéro d'application JP2022041196
Numéro de publication 2024/095462
Statut Délivré - en vigueur
Date de dépôt 2022-11-04
Date de publication 2024-05-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Aoki Takahiro

Abrégé

In the present invention, after a computer acquires coordinate information and feature value information for a comparison feature point, the computer converts the coordinates of one among the comparison feature point and a registered feature point stored in a storage unit on the basis of an angular difference calculated using the coordinate information of the comparison feature point and the coordinate information of the registered feature point. The computer uses the angular difference and the acquired feature value information for the comparison feature point to calculate a comparison score between the other among the comparison feature point and the registered feature point and the feature point resulting from converting the coordinates of the one among the comparison feature point and the registered feature point.

Classes IPC  ?

22.

MODEL MANAGEMENT METHOD AND APPARATUS, AND COMMUNICATION SYSTEM

      
Numéro d'application CN2022130017
Numéro de publication 2024/092766
Statut Délivré - en vigueur
Date de dépôt 2022-11-04
Date de publication 2024-05-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Zhang, Qun
  • Wang, Xin
  • Sun, Gang
  • Zhang, Lei

Abrégé

Provided in the embodiments of the present application are a model management method and apparatus, and a communication system. The model management apparatus is applied to a terminal device, and the apparatus comprises: a first receiving unit, which is configured to receive information, which is sent by a network device and related to a configuration and/or a scenario; and a management unit, which is configured to manage, according to the configuration and/or the scenario, a model which is used by the terminal device.

Classes IPC  ?

23.

INFORMATION RECEIVING METHOD AND DEVICE, AND INFORMATION SENDING METHOD AND DEVICE

      
Numéro d'application CN2022130029
Numéro de publication 2024/092767
Statut Délivré - en vigueur
Date de dépôt 2022-11-04
Date de publication 2024-05-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Akimoto, Yosuke

Abrégé

Embodiments of the present application provide an information receiving method and device, and an information sending method and device. The information receiving method comprises: receiving first indication information, and when the first indication information indicates a transmission configuration indication (TCI) state associated with a second cell, determining to execute one of the following actions: upon second indication information for instructing to hand over from a first cell to the second cell is received, applying the TCI state to the second cell and applying the TCI state to the first cell, and upon the second indication information is received, applying the TCI state to the second cell.

Classes IPC  ?

  • H04W 36/00 - Dispositions pour le transfert ou la resélection

24.

INDICATION METHOD FOR REPEATER, AND REPEATER AND NETWORK DEVICE

      
Numéro d'application CN2022130127
Numéro de publication 2024/092819
Statut Délivré - en vigueur
Date de dépôt 2022-11-04
Date de publication 2024-05-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Zhang, Lei
  • Jiang, Qinyan
  • Wang, Xin

Abrégé

Provided in the embodiments of the present application are an indication method for a repeater, and a repeater and a network device. The method comprises: a repeater receiving configuration information from a network device, wherein the configuration information at least configures/indicates a first resource and/or a second resource and/or a third resource; and according to the configuration information, performing forwarding on the first resource and/or not performing forwarding on the second resource.

Classes IPC  ?

  • H04W 52/46 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué dans des situations particulières dans des réseaux à bonds multiples, p.ex. des réseaux de retransmission sans fil

25.

BASE STATION, TERMINAL, AND WIRELESS COMMUNICATION SYSTEM

      
Numéro d'application JP2022041125
Numéro de publication 2024/095440
Statut Délivré - en vigueur
Date de dépôt 2022-11-04
Date de publication 2024-05-10
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Lee, Taewoo
  • Akimoto, Yosuke
  • Kobayashi, Ryosuke

Abrégé

A terminal according to the present invention has a reception unit, a control unit, and a transmission unit. The reception unit receives a first signal that includes first information that limits a repeat transmission count for a second signal that is to be used for a random access procedure. The control unit determines the repeat transmission count for the second signal in accordance with the first information received. The transmission unit transmits the second signal a prescribed number of times that corresponds to the determined repeat transmission count.

Classes IPC  ?

  • H04W 74/08 - Accès non planifié, p.ex. accès aléatoire, ALOHA ou accès multiple par détection de porteuse [CSMA Carrier Sense Multiple Access]
  • H04W 52/50 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué dans des situations particulières au moment de déclencher une communication dans un environnement à accès multiple

26.

COMPUTER-READABLE RECORDING MEDIUM STORING PREDICTION PROGRAM, INFORMATION PROCESSING DEVICE, AND PREDICTION METHOD

      
Numéro d'application 18454155
Statut En instance
Date de dépôt 2023-08-23
Date de la première publication 2024-05-09
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Ukai, Takanori

Abrégé

A non-transitory computer-readable recording medium storing a prediction program that uses knowledge graph embedding, for causing a computer to execute processing including: determining whether or not graph data to be predicted is data that includes a node link that indicates a relationship between nodes not included in training data used for training of the knowledge graph embedding; specifying, in a case where it is determined that the graph data to be predicted is the data that includes the node link not included in the training data, graph data similar to the graph data to be predicted from the training data based on a result of embedding prediction for a label of a node included in the graph data to be predicted; and determining a prediction result for the graph data to be predicted based on the specified similar graph data.

Classes IPC  ?

  • G06N 5/02 - Représentation de la connaissance; Représentation symbolique

27.

INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD

      
Numéro d'application 18227996
Statut En instance
Date de dépôt 2023-07-31
Date de la première publication 2024-05-09
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Imamura, Satoshi

Abrégé

A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes determining an execution time for each of one or more algorithms to be used when performing quantum chemical calculation on a target molecule, and determining, based on the determined execution time, first combinations of algorithms that enable the quantum chemical calculation to be performed within a designated time.

Classes IPC  ?

  • G16C 10/00 - Chimie théorique computationnelle, c. à d. TIC spécialement adaptées aux aspects théoriques de la chimie quantique, de la mécanique moléculaire, de la dynamique moléculaire ou similaires
  • G06F 17/11 - Opérations mathématiques complexes pour la résolution d'équations

28.

MACHINE LEARNING METHOD AND MACHINE LEARNING APPARATUS

      
Numéro d'application 18228679
Statut En instance
Date de dépôt 2023-08-01
Date de la première publication 2024-05-09
Propriétaire
  • Fujitsu Limited (Japon)
  • OSAKA UNIVERSITY (Japon)
Inventeur(s)
  • Kawamura, Ryosuke
  • Ikemoto Takemura, Noriko
  • Nagahara, Hajime

Abrégé

A storage unit stores therein first inference results respectively corresponding to a plurality of face images, which are output from a first model of outputting a first inference result in response to an input of a face image. A processing unit selects, from the plurality of face images, first and second face images whose distance calculated based their first inference results exceeds a threshold. The processing unit performs machine learning to train a second model of outputting a second inference result in response to an input of a face image, using a third face image obtained by combining the first and second face images.

Classes IPC  ?

  • G06V 10/774 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p.ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]; Séparation aveugle de source méthodes de Bootstrap, p.ex. "bagging” ou “boosting”
  • G06V 10/10 - Acquisition d’images
  • G06V 10/74 - Appariement de motifs d’image ou de vidéo; Mesures de proximité dans les espaces de caractéristiques
  • G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p.ex. des objets vidéo
  • G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions

29.

INFORMATION PROCESSING METHOD AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18238531
Statut En instance
Date de dépôt 2023-08-28
Date de la première publication 2024-05-09
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Ura, Akira

Abrégé

A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process include identifying frequency components stronger than a predetermined reference among frequency components of time-series data, calculating values that indicate a relationship between one or more parameters used when generating a plurality of time-series features of the time-series data and periods having the identified frequency components, as features for the parameters, executing training of a first machine learning model by using importance of each of the time-series features on prediction that uses the time-series features and the features for each of the parameters to predict the importance of the time-series features from the features for each of the parameters, the time-series features being generated based on the parameters, and predicting importance of time-series features for new time-series data by using the trained first machine learning model.

Classes IPC  ?

30.

ARRAY ANTENNA SYSTEM, NONLINEAR DISTORTION SUPPRESSION METHOD, AND WIRELESS DEVICE

      
Numéro d'application 18366512
Statut En instance
Date de dépôt 2023-08-07
Date de la première publication 2024-05-09
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Lozhkin, Alexander Nikolaevich
  • Ota, Tomoya
  • Ohashi, Yoji

Abrégé

An array antenna system includes DPD that suppresses first IMD in a first band adjacent to a band of a transmission signal, antenna elements that include a first element and a second element, phase shifters that each correspond to each of the elements and form a transmission signal directed to a predetermined direction and second IMD, by applying a weight to the signal and the second IMD in a second band adjacent to the first band, a first amplifier that amplifies the signal directed to the direction and first distortion serving as the second IMD, that are output from a first shifter of the first element, and a second amplifier that amplifies the signal directed to the direction and second distortion a phase of which is opposite to that of the first distortion serving as the second IMD, that are output from a second shifter of the second element.

Classes IPC  ?

  • H04B 1/04 - Circuits
  • H01Q 3/36 - Dispositifs pour changer ou faire varier l'orientation ou la forme du diagramme de directivité des ondes rayonnées par une antenne ou un système d'antenne faisant varier la distribution de l’énergie à travers une ouverture rayonnante faisant varier la phase par des moyens électriques avec des déphaseurs variables
  • H04B 7/06 - Systèmes de diversité; Systèmes à plusieurs antennes, c. à d. émission ou réception utilisant plusieurs antennes utilisant plusieurs antennes indépendantes espacées à la station d'émission

31.

COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN CONTROL PROGRAM, CONTROL METHOD, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18364089
Statut En instance
Date de dépôt 2023-08-02
Date de la première publication 2024-05-02
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Katoh, Takashi
  • Suzuki, Kanata

Abrégé

A control method including: obtaining an image of a given range captured by an image capturing device and a first invisible light image of the range captured by an invisible light image capturing device having a resolution lower than a resolution of the image capturing device; generating a second invisible light image at a resolution higher than a resolution of the first invisible light image by a machine learning model using the image and the first invisible light image as an input; identifying a target area from the range, based on an indicator indicating an uncertainty of each pixel in the second invisible light image; and obtaining, by an optical magnification control of the invisible light image capturing device, a third invisible light image of the target area at a resolution higher than a resolution of the target area in the first invisible light image.

Classes IPC  ?

  • H04N 23/11 - Caméras ou modules de caméras comprenant des capteurs d'images électroniques; Leur commande pour générer des signaux d'image à partir de différentes longueurs d'onde pour générer des signaux d'image à partir de longueurs d'onde de lumière visible et infrarouge
  • H04N 5/262 - Circuits de studio, p.ex. pour mélanger, commuter, changer le caractère de l'image, pour d'autres effets spéciaux
  • H04N 23/69 - Commande de moyens permettant de modifier l'angle du champ de vision, p. ex. des objectifs de zoom optique ou un zoom électronique
  • H04N 23/80 - Chaînes de traitement de la caméra; Leurs composants

32.

GENERATION METHOD AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18405358
Statut En instance
Date de dépôt 2024-01-05
Date de la première publication 2024-05-02
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Septiana, Lina
  • Uchida, Hidetsugu
  • Matsunami, Tomoaki

Abrégé

An information processing apparatus calculates a parameter for each of a plurality of layers included in a first neural network through machine learning using a plurality of image datasets each containing a human biometric image. The information processing apparatus generates a determination model of determining the authenticity of a human biometric image included in a received image dataset, by setting a parameter calculated for a first layer of the first neural network in the first layer included in a second neural network that includes the first layer and does not include a second layer.

Classes IPC  ?

  • G06V 40/40 - Détection d’usurpation, p.ex. détection d’activité
  • G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux

33.

COMPUTER-READABLE RECORDING MEDIUM STORING DATA MANAGEMENT PROGRAM, DATA MANAGEMENT METHOD, AND DATA MANAGEMENT APPARATUS

      
Numéro d'application 18411173
Statut En instance
Date de dépôt 2024-01-12
Date de la première publication 2024-05-02
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Sakamoto, Takuya
  • Yamaoka, Mebae
  • Fukuoka, Takeru

Abrégé

A non-transitory computer-readable recording medium stores a data management program for performing a zero knowledge proof of a credential owned by a user causing a computer to execute: disclosing a commitment of a digital signature of the credential to a verifier server; requesting the verifier server to verify a knowledge proof of the digital signature using the commitment; transmitting, to the verifier server, a plurality of digital signatures including the digital signature of the credential; and requesting the verifier server to verify a set membership proof in which one of the plurality of digital signatures is owned by the user.

Classes IPC  ?

  • H04L 9/32 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système

34.

COMPUTATION PROCESSING APPARATUS AND METHOD OF PROCESSING COMPUTATION

      
Numéro d'application 18411185
Statut En instance
Date de dépôt 2024-01-12
Date de la première publication 2024-05-02
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Odajima, Tetsuya

Abrégé

A computation processing apparatus includes: a memory; and a processor coupled to the memory and configured to: decode instructions; execute the instructions which is decoded and operate as a plurality of sub-computation processing apparatuses in accordance with a bit width of data to be computed; and observe an operation state of the computation processing apparatus, wherein, when observing that a subset of the plurality of sub-computation processing apparatuses does not execute an instruction or instructions, the processor parallelizes the instructions and outputs the parallelized instructions.

Classes IPC  ?

  • G06F 9/38 - Exécution simultanée d'instructions
  • G06F 1/3287 - Gestion de l’alimentation, c. à d. passage en mode d’économie d’énergie amorcé par événements Économie d’énergie caractérisée par l'action entreprise par la mise hors tension d’une unité fonctionnelle individuelle dans un ordinateur
  • G06F 9/30 - Dispositions pour exécuter des instructions machines, p.ex. décodage d'instructions

35.

POSITION PREDICTION PROGRAM, INFORMATION PROCESSING DEVICE, AND POSITION PREDICTION METHOD

      
Numéro d'application 18489383
Statut En instance
Date de dépôt 2023-10-18
Date de la première publication 2024-05-02
Propriétaire
  • Fujitsu Limited (Japon)
  • Acuity Inc. (Japon)
Inventeur(s)
  • Ishii, Daisuke
  • Ikkaku, Kento
  • Wada, Satoru
  • Suzuki, Ryoga
  • Oyama, Yuma
  • Sato, Shimpei

Abrégé

A non-transitory computer-readable storage medium storing therein a position prediction program that causes a computer to execute a process comprising: first calculating, from each of a second positions of a positioning object at a plurality of prediction timings in the past, a third position of the positioning object at a prediction timing; second calculating, on the basis of the second position at a last prediction timing out of the plurality of prediction timings and a first position of the positioning object calculated from image data received from a shooting device after the last prediction timing, a fourth position of the positioning object at the prediction timing; and predicting the second position at the prediction timing on the basis of the third position and the fourth position.

Classes IPC  ?

  • G06T 7/292 - Suivi à plusieurs caméras
  • G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
  • H04N 23/80 - Chaînes de traitement de la caméra; Leurs composants

36.

CONTROL METHOD, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM FOR STORING CONTROL PROGRAM, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 17975891
Statut En instance
Date de dépôt 2022-10-28
Date de la première publication 2024-05-02
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Fujimoto, Shingo
  • Morinaga, Masanobu

Abrégé

A control method implemented by a computer operable as one of a plurality of processing nodes arranged in a redundant configuration in a first blockchain, the control method including: detecting generation of transaction data related to a first transaction in the first blockchain stored in each of the processing nodes; and controlling whether or not to transmit a second transaction to be executed after the first transaction to a second blockchain on a basis of the detected transaction data.

Classes IPC  ?

  • G06Q 20/40 - Autorisation, p.ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasin; Examen et approbation des payeurs, p.ex. contrôle des lignes de crédit ou des listes négatives
  • G06F 9/48 - Lancement de programmes; Commutation de programmes, p.ex. par interruption
  • G06Q 20/38 - Architectures, schémas ou protocoles de paiement - leurs détails

37.

OPTICAL SIGNAL ADJUSTMENT

      
Numéro d'application 17978097
Statut En instance
Date de dépôt 2022-10-31
Date de la première publication 2024-05-02
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Vassilieva, Olga I.
  • Kim, Inwoong
  • Palacharla, Paparao

Abrégé

A method of optical signal adjustment may include obtaining a number of bits per second of data transmission in a frequency channel of an optical network. The method may also include directing a reduction in a number of bits per symbol transmitted in the frequency channel and directing an increase in a number of symbols transmitted per second in the frequency channel to maintain the number of bits per second of data transmission in the frequency channel.

Classes IPC  ?

  • H04B 10/27 - Dispositions pour la mise en réseau
  • H04B 10/69 - Dispositions électriques dans le récepteur

38.

RECORDING MEDIUM, COMPARISON SUPPORT METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18350718
Statut En instance
Date de dépôt 2023-07-11
Date de la première publication 2024-05-02
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Yoshioka, Takahiro
  • Konno, Takeshi

Abrégé

A non-transitory computer-readable storage medium stores a program that causes a computer to execute a process, the process includes: detecting a position of an object different from a target person on a target video in which the target person is captured; specifying, among a plurality of parts of the target person on the target video, one or more parts excluding a part having a correlation in movement with the object, the one or more parts being specified on a basis of a positional relation between the detected position of the object and a position of at least one of the plurality of parts; and performing comparison processing of the target person on a basis of characteristics related to the specified one or more parts on the target video.

Classes IPC  ?

  • G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
  • G06V 10/75 - Appariement de motifs d’image ou de vidéo; Mesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexte; Sélection des dictionnaires
  • G06V 40/20 - Mouvements ou comportement, p.ex. reconnaissance des gestes

39.

COMPUTER-READABLE RECORDING MEDIUM STORING EVALUATION SUPPORT PROGRAM, EVALUATION SUPPORT METHOD, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18357189
Statut En instance
Date de dépôt 2023-07-24
Date de la première publication 2024-05-02
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Imamura, Satoshi

Abrégé

A medium storing a program for causing a computer to perform processing including: executing optimization including iteratively performing a search and update for each variable in a target problem, the search including searching for a candidate for a solution to the variable, the update including updating a provisional value of the solution with the candidate when a difference between evaluation values of the provisional value and the candidate is equal to or smaller than a first threshold, and updating the provisional value with the candidate stochastically when the difference is greater than the first threshold; in the optimization, counting the number of times that the difference becomes equal to or greater than a second threshold before the last step in which the provisional value is updated with the candidate; and after the optimization, evaluating an appropriateness of the optimization for the target problem based on the counted number of times.

Classes IPC  ?

  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
  • G06F 7/58 - Générateurs de nombres aléatoires ou pseudo-aléatoires

40.

RECORDING MEDIUM, COMPARISON SUPPORT METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18350721
Statut En instance
Date de dépôt 2023-07-11
Date de la première publication 2024-05-02
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Yoshioka, Takahiro
  • Konno, Takeshi

Abrégé

A non-transitory computer-readable storage medium stores a program that causes a computer to execute a process, the process includes: obtaining a video that includes a person; detecting an object included in the video by analyzing the obtained video; determining, on a basis of a positional relation between the detected object and any one of a plurality of parts of the person, whether movement of the object and movement of the any one of the plurality of parts have a correlation; when determining that the movement of the object and the movement of the any one of the plurality of parts have the correlation, specifying, among a plurality of frames constituting the video, a first frame which has the correlation; and performing authentication processing of the person by using a second frame that is among the plurality of frames and excludes the first frame.

Classes IPC  ?

  • G06V 40/10 - Corps d’êtres humains ou d’animaux, p.ex. occupants de véhicules automobiles ou piétons; Parties du corps, p.ex. mains
  • G06V 10/74 - Appariement de motifs d’image ou de vidéo; Mesures de proximité dans les espaces de caractéristiques
  • G06V 20/40 - RECONNAISSANCE OU COMPRÉHENSION D’IMAGES OU DE VIDÉOS Éléments spécifiques à la scène dans le contenu vidéo
  • G06V 40/20 - Mouvements ou comportement, p.ex. reconnaissance des gestes

41.

COMPUTER-READABLE RECORDING MEDIUM STORING MACHINE LEARNING PROGRAM, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18351791
Statut En instance
Date de dépôt 2023-07-13
Date de la première publication 2024-05-02
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Kingetsu, Hiroaki

Abrégé

A recording medium stores a program for causing a computer to execute a process including: classifying data into classes based on a density of the data; performing data augmentation on first data that is positioned in a region where data which is positioned in a region of a first class and which belongs to the first class exists at a higher density than a predetermined density and on second data that is positioned in a region where the data which is positioned in the region of the first class and which belongs to the first class exists at a lower density than the predetermined density; and setting, when the first data after the data augmentation and the second data after the data augmentation overlap each other, a label that corresponds to the first class to first augmentation data, the second data, or second augmentation data.

Classes IPC  ?

  • G06N 3/0464 - Réseaux convolutifs [CNN, ConvNet]
  • G06N 3/0895 - Apprentissage faiblement supervisé, p.ex. apprentissage semi-supervisé ou auto-supervisé

42.

MACHINE LEARNING ALGORITHM SELECTION

      
Numéro d'application 17977941
Statut En instance
Date de dépôt 2022-10-31
Date de la première publication 2024-05-02
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Bahrami, Mehdi
  • Chen, Wei-Peng
  • Prasad, Mukul

Abrégé

A method of machine learning algorithm selection may include obtaining a dataset that includes multiple data entries. In some embodiments, each of the data entries may include multiple features and one of the multiple features may be designated as a target variable. The method may further include selecting a subset of the data entries. In some embodiments, selecting the subset of the data entries may include binning the data entries into multiple data bins based on values in the target variable and selecting a subset of the binned data entries from each of the multiple data bins as the subset of the data entries. The method may further include constructing multiple machine learning models using the subset of the data entries and selecting one of the multiple machine learning models based on an evaluation of the multiple machine learning models.

Classes IPC  ?

  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

43.

COMMUNICATION DEVICE, AND COMMUNICATION MANAGEMENT DEVICE

      
Numéro d'application JP2022039680
Numéro de publication 2024/089761
Statut Délivré - en vigueur
Date de dépôt 2022-10-25
Date de publication 2024-05-02
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Yamamoto Kanta

Abrégé

The present invention addresses the problem of mitigating the influence of a decrease in the accuracy of time synchronisation in a wireless access network. A communication device is provided in a communication system with redundancy between a plurality of time sources and a plurality of nodes that make up a wireless access network. The communication device comprises: a first port which receives signals relating to a first time source; a second port which receives signals relating to a second time source; a selection unit which selects the first port or the second port; a time synchronisation unit which uses signals received via the selected the port to perform a time synchronisation process; a detection unit which detects events that decrease the accuracy of the time synchronisation process; a transmission unit which transmits information relating to a threat to the time synchronisation process to a communication management device; and a reception unit which receives information representing a recommended port from the communication management device. The selection unit selects the first port or the second port on the basis of the degree of priority of the first time source, the degree of priority of the second time source, and information received from the communication management device.

Classes IPC  ?

  • H04L 7/00 - Dispositions pour synchroniser le récepteur avec l'émetteur
  • H04L 1/22 - Dispositions pour détecter ou empêcher les erreurs dans l'information reçue en utilisant un appareil en excédent pour accroître la fiabilité

44.

INFORMATION PROCESSING PROGRAM, DEVICE, AND METHOD

      
Numéro d'application JP2022039750
Numéro de publication 2024/089770
Statut Délivré - en vigueur
Date de dépôt 2022-10-25
Date de publication 2024-05-02
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Hiromoto, Masayuki
  • Nakagawa, Akira

Abrégé

The present invention calculates predicted values of multi-dimensional data to be predicted and the covariance of the predicted values by: training an auto-encoder, which includes an encoder that converts multi-dimensional input data into latent variables and a decoder that reconstructs the latent variables, so as to minimize a loss function including a coding information quantity of the latent variables, the coding information quantity being calculated on the basis of a probability distribution, which is generated by adding noise to the latent variables and a reconstruction error of the auto-encoder, and a priori distribution, which is predicted on the basis of time-series data regarding input data for the past prescribed time period, of the latent variables; and inputting, to the decoder of the trained auto-encoder, the latent variables predicted on the basis of the time-series data regarding the multi-dimensional data to be predicted for the past prescribed time period.

Classes IPC  ?

45.

DATA-GENERATING METHOD, DATA-GENERATING PROGRAM, AND DATA-GENERATING DEVICE

      
Numéro d'application JP2022039766
Numéro de publication 2024/089772
Statut Délivré - en vigueur
Date de dépôt 2022-10-25
Date de publication 2024-05-02
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Yamao, Sosuke

Abrégé

The present invention provides a data-generating device that obtains skeletal information inference results for each piece of teaching data when a plurality of teaching data is input to a machine learning model, the inference results including an error for each part of a skeleton. The data-generating device uses the inference results as a basis for identifying, from the plurality of teaching data, first teaching data in which the error of a first part is greater than the error of the first part in other teaching data. The data-generating device uses the inference results as a basis for identifying, from the plurality of teaching data, second teaching data in which the error of a second part is greater than the error of the second part in other teaching data. The data-generating device generates third teaching data by replacing information about the second part included in the first teaching data with information about the second part included in the second teaching data.

Classes IPC  ?

46.

WORK PLAN DESIGN PROGRAM, WORK PLAN DESIGN METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application JP2022039825
Numéro de publication 2024/089782
Statut Délivré - en vigueur
Date de dépôt 2022-10-26
Date de publication 2024-05-02
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Hasome, Ayano

Abrégé

Under the condition that, in relation to a plurality of articles, a plurality of columns each containing a plurality of article shelves, and a plurality of paths provided among the plurality of columns, first work is carried out in which a plurality of first articles identified by an identifier are placed on a moving body from an article shelf, and second work is carried out in which a plurality of second articles placed on the moving body are placed on an article shelf identified by an identifier specified for said articles: with regard to a work plan in which the moving body carries out the first work and the second work for specified articles from among the plurality of articles, either a first search for searching for such a work plan as to reduce overall travel distance in the direction of extension of the paths or a second search for searching for such a work plan as to reduce the overall travel distance between the plurality of columns; a work plan found in the search is divided into a plurality of partial plans; both the first search and the second search are performed on each of the plurality of partial plans; and the results of the first search and the second search for the plurality of partial plans are combined. 

Classes IPC  ?

  • B65G 1/137 - Dispositifs d'emmagasinage mécaniques avec des aménagements ou des moyens de commande automatique pour choisir les objets qui doivent être enlevés

47.

MOLECULAR SIMULATION PROGRAM, MOLECULAR SIMULATION METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application JP2022040286
Numéro de publication 2024/089862
Statut Délivré - en vigueur
Date de dépôt 2022-10-28
Date de publication 2024-05-02
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Hikima, Yasunari
  • Umeda, Yuhei

Abrégé

The present invention efficiently calculates molecular energy corresponding to a plurality of interatomic distances. An information processing device (10) estimates, for interatomic distances (14a, 14b, 14c), estimated execution times (15a, 15b, 15c) and estimated repetition counts (16a, 16b, 16c) of an algorithm that calculates molecular energies using quantum circuit data, on the basis of molecular information (13). The information processing device (10) determines repetition counts (18a, 18b, 18c) for the interatomic distances (14a, 14b, 14c) on the basis of a restriction time (17), the estimated execution times (15a, 15b, 15c), and the estimated repetition counts (16a, 16b, 16c). The information processing device (10) calculates, by executing the algorithm, molecular energies (19a, 19b, 19c) for the interatomic distances (14a, 14b, 14c) on the basis of the repetition counts (18a, 18b, 18c).

Classes IPC  ?

  • G16C 10/00 - Chimie théorique computationnelle, c. à d. TIC spécialement adaptées aux aspects théoriques de la chimie quantique, de la mécanique moléculaire, de la dynamique moléculaire ou similaires

48.

Fujitsu Data e-Trust

      
Numéro d'application 019021026
Statut En instance
Date de dépôt 2024-04-30
Propriétaire FUJITSU LIMITED (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computers; computer servers; computer hardware for data storage; computer peripheral devices; computer software. Business management analysis or business consultancy; marketing research or analysis; conducting business research and surveys; providing information concerning commercial sales; business management and organization consultancy; compilation of information into computer databases; providing business assistance to others in the operation of data processing apparatus namely, computers and other similar office machines; Consulting services in the fields of business data analysis. Computer programming services; computer rental services; server hosting; rental of web servers; optimization services for computers, namely, computer networks and computer software configuration; installation of computer software; maintenance and upgrading of computer software, namely, enhancing functions of computer software, changing or adding functions of computer software, and providing information thereon; software as a service (SAAS); computer system consulting and advisory services; providing temporary use of non-downloadable cloud-based software; providing technical information about computers, computer software and computer networks; platform as a service (PaaS).

49.

Fsas Technologies

      
Numéro d'application 019020406
Statut En instance
Date de dépôt 2024-04-29
Propriétaire Fujitsu Limited (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 37 - Services de construction; extraction minière; installation et réparation
  • 41 - Éducation, divertissements, activités sportives et culturelles
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computer programs; application software; computer software platforms, recorded or downloadable; software for creating, facilitating, and managing remote access to and communication with local area networks and global networks; communications software; computer software for processing information; monitors [computer programs]; downloadable computer software for remote monitoring and analysis; downloadable cloud computing software; virtual private network [VPN] hardware; virtual private network [VPN] operating software; local area network [LAN] hardware; Telecommunication machines and apparatus; computers; apparatus and instruments for recording, transmitting, reproducing or processing sound, images or data; computer servers; data storage devices; computer network server; computer peripherals and accessories; computer software and telecommunications apparatus, including modems, to enable connection to databases, computer networks and the Internet; wireless controllers to remotely monitor and control the function and status of security systems; downloadable image, video and movie files; recorded and downloadable media, computer software, blank digital or analogue recording and storage media; Publications (Electronic -), downloadable; electronic machines, apparatus and their parts; power distribution or control machines and apparatus; Game programs for home video game machines; Electronic circuits and CD-ROMs recorded with programs for hand-held games with liquid crystal displays. Computerized file management; database management; Compilation of information into computer databases; systemization of information into computer databases and provision of information related thereto; updating and maintenance of data in computer databases; business consultancy services relating to data processing; Business consultancy services for digital transformation; providing consumer information relating to goods and services in the field of AI related products to support the business of other companies; business management and administration services in relation to information processing and information communication networks; business management and administration services in relation to management of information processing and information communication networks; Business consultancy services associated with the introduction of information technology (IT); employment agency services of engineers in the field of computers and computer programming services; Advertising and publicity services; Promoting the goods and services of others through the administration of sales and promotional incentive schemes involving trading stamps; presentation of goods on communication media, for retail purposes; Business management; Marketing research or analysis; Business management analysis or business consultancy; Providing information concerning commercial sales; business administration; office functions; business consulting; Data search in computer files for others; Office machines and equipment rental; arranging subscriptions to telecommunication services for others using phones, mobile phones or computers; Retail services or wholesale services for electrical machinery and apparatuses; Retail services or wholesale services for printed matter; Retail services or wholesale services for paper and stationery; Retail services or wholesale services for computer, computer accessories and peripheral (including programs, electronic circuits and memory cards); Retail services or wholesale services for telecommunication machines, power distribution or control machinery; Retail services or wholesale services for medical apparatus; Retail services or wholesale services for air-conditioning apparatus; Retail services or wholesale services for office desks and other furniture; Retail services or wholesale services for electrical insulating materials for power distribution, soundproofing or heat insulation materials for computer installations, plastic foundation products for computer installations; Retail services or wholesale services for toner and ink cartridges for printers; data processing using computers. Installation of electronic machines and apparatus; Electrical installation services; Telecommunication wiring; Construction; Repair or maintenance of electronic machines and apparatus; Repair or maintenance of telecommunication machines and apparatus; Repair or maintenance of consumer electric appliances; Repair or maintenance of power distribution or control machines and apparatus; Installation of communication equipment; advisory services relating to the installation of communication equipment; Installation of communications network apparatus; maintenance and repair of control systems for radio systems and networks; installation of radio systems and networks; installation, maintenance and repair of computer hardware for telecommunications systems; providing information relating to the repair or maintenance of telecommunication machines and apparatus; installation, maintenance and repair of hardware for data communication networks; repair and maintenance of computer and telecommunications hardware; installation and maintenance of hardware for computer networks and Internet access. Educational and instruction services in the field of computer, computer network and information security; teaching and training services in the fields of information technology; arranging, conducting and organization of seminars, workshops [training], symposiums, conferences, lectures, training sessions and study groups, and providing information related to thereto in the fields of information technology; Training in the field of communication technologies; educational and instruction services relating to computer, computer programming computer system and computer network; educational and instruction services relating to computer software technology; testing of ability in relation to computer programming; conducting certification examinations related to information and communication systems; Translation; Translation and other translations using communications by computers; Providing electronic publications. Designing of computers, electronic machines, and telecommunication machines and advisory services related thereto; Designing of machines, apparatus, instruments [including their parts] or systems composed of such machines, apparatus and instruments; provision of information related to designing of computers; Design services; Computer software design, computer programming, or maintenance of computer software; provision of information relating to computer programming; information processing using computers; design, programming and maintenance of computer system; advisory services relating to computer system; remote monitoring of computer system; Configuration, installation, enhancement, modification, addition and other optimization of computers and provision of information related thereto; Design, creation, configuration, installation, enhancement, modification, addition, maintenance, and other optimization of computer programs, and provision of information related thereto; advisory services in relation to design, programming and maintenance of computer program; design, programming and maintenance of communication network systems; design, planning and maintenance of communication network systems; diagnosis or consulting of security measures for communication network systems; user authentication services for e-commerce transactions; Data encryption services; electronic data conversion process for embedding and removing watermarks using a computer; Fault diagnosis and virus testing of computer programs; Conversion of computer programs and computer data; duplication of computer programs; Internet security consultancy; Computer security consultancy; Data security consultancy; design, programming and maintenance of computer system and provision of information related thereto; Consulting services in the field of cloud computing; Creating or maintaining web sites for others; providing online search engines for the internet; Technological advice relating to computers, automobiles and industrial machines; Testing or research on computers and computer programs; Testing or research on telecommunication machines and peripherals; testing or research on machinery and equipment, or advisory services related thereto; Research in the field of artificial intelligence technology; Rental of computers; Providing computer programs on data networks; electronic data storage of computers; Rental of web servers; Server hosting; Cloud computing; Software as a service [SaaS]; Platform as a service [PaaS]; Preparation of manuals for computers and computer programs; Preparation of manuals for the operation of computers and the use of computer programs; computer programming for data processing and communication systems; consultancy relating to the design and development of information and communications technology; development of software for communication systems; maintenance and updating of software for communication systems; engineering services in the field of communications technology; research in the field of communications technology; telecommunication network security consultancy; Telecommunications engineering consultancy; providing virtual computer systems through cloud computing; Design and development of virtual private network (VPN) operating software; programming of operating software for accessing and using a cloud computing network; providing temporary use of on-line non-downloadable operating software for accessing and using a cloud computing network; providing on-line non-downloadable software for use in communication; Troubleshooting of computer software problems; information technology [IT] support services [troubleshooting of software]; monitoring of computer systems for detecting unauthorized access or data breach; testing, analysis and monitoring of system algorithms for processing telecommunications and navigation data; monitoring of computer system operation by remote access; user authentication services using technology for e-commerce transactions; user authentication services using single sign-on technology for online software applications; programming of operating software for computer networks and servers; design and development of operating software for computer networks and servers; computer virus protection services.

50.

Fsas Technologies

      
Numéro d'application 019020509
Statut En instance
Date de dépôt 2024-04-29
Propriétaire Fujitsu Limited (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 37 - Services de construction; extraction minière; installation et réparation
  • 41 - Éducation, divertissements, activités sportives et culturelles
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Computer programs; application software; computer software platforms, recorded or downloadable; software for creating, facilitating, and managing remote access to and communication with local area networks and global networks; communications software; computer software for processing information; monitors [computer programs]; downloadable computer software for remote monitoring and analysis; downloadable cloud computing software; virtual private network [VPN] hardware; virtual private network [VPN] operating software; local area network [LAN] hardware; Telecommunication machines and apparatus; computers; apparatus and instruments for recording, transmitting, reproducing or processing sound, images or data; computer servers; data storage devices; computer network server; computer peripherals and accessories; computer software and telecommunications apparatus, including modems, to enable connection to databases, computer networks and the Internet; wireless controllers to remotely monitor and control the function and status of security systems; downloadable image, video and movie files; recorded and downloadable media, computer software, blank digital or analogue recording and storage media; Publications (Electronic -), downloadable; electronic machines, apparatus and their parts; power distribution or control machines and apparatus; Game programs for home video game machines; Electronic circuits and CD-ROMs recorded with programs for hand-held games with liquid crystal displays. Computerized file management; database management; Compilation of information into computer databases; systemization of information into computer databases and provision of information related thereto; updating and maintenance of data in computer databases; business consultancy services relating to data processing; Business consultancy services for digital transformation; providing consumer information relating to goods and services in the field of AI related products to support the business of other companies; business management and administration services in relation to information processing and information communication networks; business management and administration services in relation to management of information processing and information communication networks; Business consultancy services associated with the introduction of information technology (IT); employment agency services of engineers in the field of computers and computer programming services; Advertising and publicity services; Promoting the goods and services of others through the administration of sales and promotional incentive schemes involving trading stamps; presentation of goods on communication media, for retail purposes; Business management; Marketing research or analysis; Business management analysis or business consultancy; Providing information concerning commercial sales; business administration; office functions; business consulting; Data search in computer files for others; Office machines and equipment rental; arranging subscriptions to telecommunication services for others using phones, mobile phones or computers; Retail services or wholesale services for electrical machinery and apparatuses; Retail services or wholesale services for printed matter; Retail services or wholesale services for paper and stationery; Retail services or wholesale services for computer, computer accessories and peripheral (including programs, electronic circuits and memory cards); Retail services or wholesale services for telecommunication machines, power distribution or control machinery; Retail services or wholesale services for medical apparatus; Retail services or wholesale services for air-conditioning apparatus; Retail services or wholesale services for office desks and other furniture; Retail services or wholesale services for electrical insulating materials for power distribution, soundproofing or heat insulation materials for computer installations, plastic foundation products for computer installations; Retail services or wholesale services for toner and ink cartridges for printers; data processing using computers. Installation of electronic machines and apparatus; Electrical installation services; Telecommunication wiring; Construction; Repair or maintenance of electronic machines and apparatus; Repair or maintenance of telecommunication machines and apparatus; Repair or maintenance of consumer electric appliances; Repair or maintenance of power distribution or control machines and apparatus; Installation of communication equipment; advisory services relating to the installation of communication equipment; Installation of communications network apparatus; maintenance and repair of control systems for radio systems and networks; installation of radio systems and networks; installation, maintenance and repair of computer hardware for telecommunications systems; providing information relating to the repair or maintenance of telecommunication machines and apparatus; installation, maintenance and repair of hardware for data communication networks; repair and maintenance of computer and telecommunications hardware; installation and maintenance of hardware for computer networks and Internet access. Educational and instruction services in the field of computer, computer network and information security; teaching and training services in the fields of information technology; arranging, conducting and organization of seminars, workshops [training], symposiums, conferences, lectures, training sessions and study groups, and providing information related to thereto in the fields of information technology; Training in the field of communication technologies; educational and instruction services relating to computer, computer programming computer system and computer network; educational and instruction services relating to computer software technology; testing of ability in relation to computer programming; conducting certification examinations related to information and communication systems; Translation; Translation and other translations using communications by computers; Providing electronic publications. Designing of computers, electronic machines, and telecommunication machines and advisory services related thereto; Designing of machines, apparatus, instruments [including their parts] or systems composed of such machines, apparatus and instruments; provision of information related to designing of computers; Design services; Computer software design, computer programming, or maintenance of computer software; provision of information relating to computer programming; information processing using computers; design, programming and maintenance of computer system; advisory services relating to computer system; remote monitoring of computer system; Configuration, installation, enhancement, modification, addition and other optimization of computers and provision of information related thereto; Design, creation, configuration, installation, enhancement, modification, addition, maintenance, and other optimization of computer programs, and provision of information related thereto; advisory services in relation to design, programming and maintenance of computer program; design, programming and maintenance of communication network systems; design, planning and maintenance of communication network systems; diagnosis or consulting of security measures for communication network systems; user authentication services for e-commerce transactions; Data encryption services; electronic data conversion process for embedding and removing watermarks using a computer; Fault diagnosis and virus testing of computer programs; Conversion of computer programs and computer data; duplication of computer programs; Internet security consultancy; Computer security consultancy; Data security consultancy; design, programming and maintenance of computer system and provision of information related thereto; Consulting services in the field of cloud computing; Creating or maintaining web sites for others; providing online search engines for the internet; Technological advice relating to computers, automobiles and industrial machines; Testing or research on computers and computer programs; Testing or research on telecommunication machines and peripherals; testing or research on machinery and equipment, or advisory services related thereto; Research in the field of artificial intelligence technology; Rental of computers; Providing computer programs on data networks; electronic data storage of computers; Rental of web servers; Server hosting; Cloud computing; Software as a service [SaaS]; Platform as a service [PaaS]; Preparation of manuals for computers and computer programs; Preparation of manuals for the operation of computers and the use of computer programs; computer programming for data processing and communication systems; consultancy relating to the design and development of information and communications technology; development of software for communication systems; maintenance and updating of software for communication systems; engineering services in the field of communications technology; research in the field of communications technology; telecommunication network security consultancy; Telecommunications engineering consultancy; providing virtual computer systems through cloud computing; Design and development of virtual private network (VPN) operating software; programming of operating software for accessing and using a cloud computing network; providing temporary use of on-line non-downloadable operating software for accessing and using a cloud computing network; providing on-line non-downloadable software for use in communication; Troubleshooting of computer software problems; information technology [IT] support services [troubleshooting of software]; monitoring of computer systems for detecting unauthorized access or data breach; testing, analysis and monitoring of system algorithms for processing telecommunications and navigation data; monitoring of computer system operation by remote access; user authentication services using technology for e-commerce transactions; user authentication services using single sign-on technology for online software applications; programming of operating software for computer networks and servers; design and development of operating software for computer networks and servers; computer virus protection services.

51.

COMPUTER-READABLE RECORDING MEDIUM STORING MACHINE LEARNING SUPPORT PROGRAM, MACHINE LEARNING SUPPORT METHOD, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18485340
Statut En instance
Date de dépôt 2023-10-11
Date de la première publication 2024-04-25
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Furuki, Takahiro

Abrégé

A process includes receiving, by a machine learning support system, an instruction to generate a machine learning model from a plurality of candidate-programs, specifying, for each of the plurality of candidate-programs generated using a program-component included in any of a plurality of program-component sets, a first proficiency-level of a user for a first program-component set which includes a first program-component used in the candidate-program, the first proficiency-level is based on proficiency-level information which indicates a proficiency-level of the user related to use of each of the plurality of program-component sets and is determined based on a use record of the plurality of program-component sets in an editing process of the candidate-program by the user and a change in performance of the candidate-program by the editing process, and determining, for each of the plurality of candidate-programs, a priority to present the candidate-program to the user, based on the specified first proficiency-level.

Classes IPC  ?

52.

COMPUTER-READABLE RECORDING MEDIUM STORING DETERMINATION PROGRAM, DETERMINATION METHOD, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18532130
Statut En instance
Date de dépôt 2023-12-07
Date de la première publication 2024-04-25
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Yamamoto, Tatsuya

Abrégé

A non-transitory computer-readable recording medium stores a determination program causing a computer to execute a processing of: determining, based on at least one of an opinion of respective users with respect to a specific topic and information regarding an approval or a disapproval of the respective users for an opinion of another person with respect to the specific topic, a tendency of a change in an index value indicating a degree of positive emotions of the users; and outputting, when detecting a first tendency and a second tendency in which a difference between the first tendency and the second tendency is equal to or less than a threshold value, a first user corresponding to the first tendency and a second user corresponding to the second tendency from among the users as third users included in a target group.

Classes IPC  ?

  • G06F 16/31 - Indexation; Structures de données à cet effet; Structures de stockage
  • G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur

53.

SOLVING OPTIMIZATION PROBLEMS ON SHALLOW CIRCUITS USING A QUANTUM COMPUTER

      
Numéro d'application 18046186
Statut En instance
Date de dépôt 2022-10-13
Date de la première publication 2024-04-25
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Liu, Xiaoyuan
  • Upadhyay, Sarvagya
  • Ghosh, Indradeep

Abrégé

According to an aspect of an embodiment, operations include receiving an input comprising a node-based graph associated with a real-world optimization problem and generating a sparse graph by removing a subset of edges from the node-based graph, The operations further include formulating operators of a quantum circuit on a quantum computer based on the sparse graph and formulating a cost function for the real-world optimization problem. The operations further include executing a set of operations which includes operating the quantum circuit on the quantum computer to generate a result, estimating a value of the cost function using the result, and updating parameters of the operators based on the value. The operations further include generating a final solution of the real-world optimization problem by repeating the execution of the set of operations using the updated parameters, until the estimated value of the cost function approaches a predefined threshold value.

Classes IPC  ?

  • G06N 10/20 - Modèles d’informatique quantique, p.ex. circuits quantiques ou ordinateurs quantiques universels
  • G06N 10/60 - Algorithmes quantiques, p.ex. fondés sur l'optimisation quantique ou les transformées quantiques de Fourier ou de Hadamard

54.

COMPUTER-READABLE RECORDING MEDIUM STORING MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18235350
Statut En instance
Date de dépôt 2023-08-18
Date de la première publication 2024-04-25
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Liang, Jun
  • Morita, Hajime

Abrégé

A process for machine learning processing of a machine learning model in which a natural language processing model and a classification model are combined, the process includes obtaining a first projection matrix that is obtained in an n-th iteration of the machine learning processing and that indicates a correspondence between input data input from the natural language processing model to the classification model and output data output from the classification model, updating a parameter of the natural language processing model, updating a parameter of the classification model by using the first projection matrix, and obtaining, in an n+1-th iteration of the machine learning processing, a second projection matrix that indicates a correspondence between input data input from the updated natural language processing model to the updated classification model and output data output from the updated classification model, wherein the n is a natural number.

Classes IPC  ?

55.

COMPUTER-READABLE RECORDING MEDIUM STORING OUTPUT PROGRAM, OUTPUT METHOD, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18238532
Statut En instance
Date de dépôt 2023-08-27
Date de la première publication 2024-04-25
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Kase, Mariko

Abrégé

A non-transitory computer-readable recording medium storing an output program causing a computer to execute a process, the process includes extracting an operation description related to a data operation for input data to a machine learning program, from the machine learning program, determining an extraction condition of target data to be operated in the data operation, based on the extracted operation description, extracting the target data which satisfies the determined extraction condition, from the input data, and outputting sampling data which includes the extracted target data.

Classes IPC  ?

56.

DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM STORING DATA PROCESSING PROGRAM

      
Numéro d'application 18346459
Statut En instance
Date de dépôt 2023-07-02
Date de la première publication 2024-04-25
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Watanabe, Yasuhiro

Abrégé

A data processing method including: upon switching an object to a first group among groups of an Ising model when a search for a solution to a problem represented by the Ising model is performed by switching to each of the groups obtained by dividing the state variables, reading first weighting factors corresponding to pairs of the state variables whose values have changed and each first state variable belonging to the first group; updating a local field of the first state variable; executing the search on the first group by using second weighting factors and the local field of the first state variable; and after ending the search on the first group, updating the change information according to presence or absence of a change in the values for the first state variable by the search at a current time, to switch the object to be searched to a next group.

Classes IPC  ?

57.

STORAGE MEDIUM, INFORMATION PROCESSING APPARATUS, AND MERCHANDISE PURCHASE SUPPORT METHOD

      
Numéro d'application 18355185
Statut En instance
Date de dépôt 2023-07-18
Date de la première publication 2024-04-25
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Yamazaki, Takashi
  • Oishi, Yusuke

Abrégé

A non-transitory computer-readable storage medium storing a merchandise purchase support program that causes at least one computer to execute a process, the process includes obtaining pieces of position information of each of a plurality of users; when there is an inquiry about an arrangement position of certain merchandise from a user of the plurality of users, specifying a first position where the user has performed a certain action indicating a feature of searching for the arrangement position of the certain merchandise, based on the piece of position information obtained in certain time before execution of the inquiry among the pieces of position information of the user; and determining a second position near the specified first position as a candidate for a new arrangement position of the certain merchandise.

Classes IPC  ?

58.

STORAGE MEDIUM, OPTIMIZATION METHOD, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18340925
Statut En instance
Date de dépôt 2023-06-26
Date de la première publication 2024-04-25
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Maruo, Akito
  • Jippo, Hideyuki

Abrégé

A non-transitory computer-readable storage medium storing an optimization program that causes at least one computer to execute a process, the process includes setting, for a region of a design target, a plurality of Gaussian functions as basis functions of a shape function that corresponds to a shape of a design target item in the region; and identifying the shape of the design target item indicated by the shape function obtained by combining the plurality of Gaussian functions identified to be disposed by identifying whether to dispose the plurality of Gaussian functions.

Classes IPC  ?

  • G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p.ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle

59.

LIGHT RECEIVING ELEMENT AND INFRARED IMAGING DEVICE

      
Numéro d'application 18364804
Statut En instance
Date de dépôt 2023-08-02
Date de la première publication 2024-04-25
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Tsunoda, Koji
  • Ozaki, Kazuo

Abrégé

A light receiving element includes a light receiving layer that includes a superlattice of an InAs layer and a GaSb layer, and an amorphous layer that covers a side wall surface of the light receiving layer. The amorphous layer contains In and As, and an amount of Ga and an amount of Sb contained in the amorphous layer are smaller than an amount of In and an amount of As contained in the amorphous layer.

Classes IPC  ?

  • H01L 31/0352 - Dispositifs à semi-conducteurs sensibles aux rayons infrarouges, à la lumière, au rayonnement électromagnétique d'ondes plus courtes, ou au rayonnement corpusculaire, et spécialement adaptés, soit comme convertisseurs de l'énergie dudit rayonnement e; Procédés ou appareils spécialement adaptés à la fabrication ou au traitement de ces dispositifs ou de leurs parties constitutives; Leurs détails caractérisés par leurs corps semi-conducteurs caractérisés par leur forme ou par les formes, les dimensions relatives ou la disposition des régions semi-conductrices
  • H01L 31/0304 - Matériaux inorganiques comprenant, à part les matériaux de dopage ou autres impuretés, uniquement des composés AIIIBV

60.

OPTICAL LINK POWER PROFILE ESTIMATION

      
Numéro d'application 18447288
Statut En instance
Date de dépôt 2023-08-09
Date de la première publication 2024-04-25
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Kim, Inwoong
  • Vassilieva, Olga I.
  • Shinzaki, Ryu
  • Eto, Motohiko
  • Oda, Shoichiro
  • Palacharla, Paparao

Abrégé

According to an aspect of an embodiment, operations may include obtaining a first waveform profile corresponding to an optical signal received at an optical receiver via an optical link between the optical receiver and an optical transmitter. The operations may also include obtaining a second waveform profile that is an estimate of the first waveform profile. The second waveform profile may be based on one or more properties of the optical link and may be based on a complex scaling factor that accounts for rotation of the optical signal as the optical signal propagates via the optical link. In addition, the operations may include determining a power profile estimation corresponding to the optical link based on a comparison between the first waveform profile and the second waveform profile.

Classes IPC  ?

  • H04B 10/079 - Dispositions pour la surveillance ou le test de systèmes de transmission; Dispositions pour la mesure des défauts de systèmes de transmission utilisant un signal en service utilisant des mesures du signal de données
  • H04B 10/60 - Récepteurs

61.

METHOD AND APPARATUS FOR INFORMATION PROCESSING

      
Numéro d'application 18471097
Statut En instance
Date de dépôt 2023-09-19
Date de la première publication 2024-04-25
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Mizobuchi, Yuji

Abrégé

A computer acquires cluster data and performance data. The cluster data represents classification results obtained by classifying multiple sample programs into two or more clusters and arranging the clusters in multiple levels in such a manner that each level contains a different number of clusters. The performance data represents an execution performance of each sample program. The computer calculates, for each of two or more clusters in each level, a first evaluation value based on an index value for reusability of two or more sample programs belonging to the cluster and the execution performances of those sample programs. The computer also calculates, for each level, a second evaluation value based on the first evaluation values corresponding to the two or more clusters of the level. The computer selects, based on the second evaluation values corresponding to the multiple levels, the classification results of a level amongst the multiple levels.

Classes IPC  ?

  • G06F 8/36 - Réutilisation de logiciel
  • G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p.ex. des interruptions ou des opérations d'entrée–sortie

62.

OPTICAL TRANSMITTER THAT TRANSMITS MULTI-LEVEL SIGNAL

      
Numéro d'application 18353224
Statut En instance
Date de dépôt 2023-07-17
Date de la première publication 2024-04-25
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Huang, Guoxiu
  • Nakashima, Hisao

Abrégé

An optical transmitter includes a signal processor and transmission circuit. The signal processor modulates a first signal to generate a first modulated signal, determines a modulo amplitude that is larger than an amplitude of the first modulated signal, inserts a second modulated signal into the first modulated signal to generate a transmission signal, corrects a symbol of the transmission signal by using an amplitude of one or a plurality of previous symbols to generate a pre-equalized signal, and performs modulo calculation based on the modulo amplitude on the pre-equalized signal. The transmission circuit generates a modulated optical signal based on an output signal of the signal processor and transmits the modulated optical signal to a reception node. An amplitude of the second modulated signal is equal to the modulo amplitude.

Classes IPC  ?

  • H04B 10/50 - Systèmes de transmission utilisant des ondes électromagnétiques autres que les ondes hertziennes, p.ex. les infrarouges, la lumière visible ou ultraviolette, ou utilisant des radiations corpusculaires, p.ex. les communications quantiques Émetteurs
  • H04B 10/61 - Récepteurs cohérents

63.

COMPUTER-READABLE RECORDING MEDIUM STORING PERFORMANCE MONITORING PROGRAM, PERFORMANCE MONITORING METHOD AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18214277
Statut En instance
Date de dépôt 2023-06-26
Date de la première publication 2024-04-18
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Hirai, Akira

Abrégé

A non-transitory computer-readable recording medium stores a performance monitoring program for causing a computer to execute processing including: in collection of a plurality of pieces of performance information of a processor when a program that operates in the processor is executed, associating and accumulating an operation characteristic of the program for each of the plurality of pieces of performance information; and selecting, in a case where the number of performance monitoring counters (PMCs) included in the processor is smaller than a total number of the plurality of pieces of performance information, performance information that has the operation characteristic of the program most separated from a current value of the operation characteristic of the program from the plurality of pieces of performance information, and allocating the performance information to the PMC.

Classes IPC  ?

  • G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p.ex. des interruptions ou des opérations d'entrée–sortie
  • G06F 11/30 - Surveillance du fonctionnement

64.

FORWARD RAMAN AMPLIFIER, BIDIRECTIONAL RAMAN AMPLIFICATION SYSTEM, AND FORWARD RAMAN AMPLIFICATION SYSTEM

      
Numéro d'application 18220855
Statut En instance
Date de dépôt 2023-07-12
Date de la première publication 2024-04-18
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Nakamoto, Hiroshi
  • Nakagawa, Goji
  • Kawanishi, Kentaro
  • Oi, Hiroki
  • Yamauchi, Tomohiro
  • Terahara, Takafumi
  • Ohata, Teppei

Abrégé

A forward Raman amplifier includes a plurality of pumping light sources with different wavelengths and the forward Raman amplifier, according to a fiber type or a zero-dispersion wavelength of the fiber, changes the number of pumping light sources to be emitted, changes a power ratio between the plurality of pumping light sources with the different wavelengths or changes wavelength characteristics of a gain, according to a fiber type.

Classes IPC  ?

  • H04B 10/291 - Répéteurs dans lesquels le traitement ou l’amplification est effectuée sans conversion de la forme optique du signal
  • H01S 3/067 - Lasers à fibre optique
  • H01S 3/30 - Lasers, c. à d. dispositifs utilisant l'émission stimulée de rayonnement électromagnétique dans la gamme de l’infrarouge, du visible ou de l’ultraviolet utilisant des effets de diffusion, p.ex. l'effet Brillouin ou Raman stimulé

65.

COMPUTER-READABLE RECORDING MEDIUM STORING SAMPLING PROGRAM, SAMPLING METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18223054
Statut En instance
Date de dépôt 2023-07-18
Date de la première publication 2024-04-18
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Ichikawa, Yuma

Abrégé

A computer-readable recording medium stores a sampling program for causing a computer to execute a process. The process includes: performing sampling of a second probability distribution obtained by adding an inverse temperature parameter based on an inverse temperature that is a physical amount to a first probability distribution and training a first variational model based on first data obtained through sampling; performing sampling of a third probability distribution obtained by increasing a value of the inverse temperature parameter, by using the trained first variational model and training a second variational model based on sampled second data; and outputting a sample that corresponds to the first probability distribution, based on a result of the sampling of the third probability distribution by using the trained second variational model.

Classes IPC  ?

  • G06F 17/18 - Opérations mathématiques complexes pour l'évaluation de données statistiques

66.

COMPUTER-READABLE RECORDING MEDIUM STORING DETECTION PROGRAM, DETECTION METHOD, AND DETECTION APPARATUS

      
Numéro d'application 18227307
Statut En instance
Date de dépôt 2023-07-28
Date de la première publication 2024-04-18
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Kurihara, Hiroaki

Abrégé

A non-transitory computer-readable recording medium stores a detection program for causing a computer to execute a process. In the process, the computer generates weighted graph structure data for a plurality of pieces of time-series data, with a partial correlation specified based on a matrix calculated by solving an optimization problem about a precision matrix for the plurality of pieces of time-series data, as a weight of a side in a graph; and detects a sign of an anomaly, based on distribution of data points in a predetermined region in a persistence diagram obtained by a persistent homology transformation for the weighted graph structure data.

Classes IPC  ?

  • G06F 17/11 - Opérations mathématiques complexes pour la résolution d'équations

67.

TRAINING METHOD, ARITHMETIC PROCESSING DEVICE, AND COMPUTER-READABLE RECORDING MEDIUM STORING TRAINING PROGRAM

      
Numéro d'application 18351271
Statut En instance
Date de dépôt 2023-07-12
Date de la première publication 2024-04-18
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Ota, Yasumasa

Abrégé

A training method for causing a computer to execute process, the process includes measuring an inter-symbol interference value generated in a transmission path of double data rate (DDR) transmission that uses a decision feedback equalizer (DFE) circuit, based on a control result of a training pattern, a voltage reference value of a dynamic random access memory (DRAM), and a tap value of the DFE circuit, and obtaining a set tap value to be set in the DFE circuit, based on the measured inter-symbol interference value.

Classes IPC  ?

  • H04L 25/03 - Réseaux de mise en forme pour émetteur ou récepteur, p.ex. réseaux de mise en forme adaptatifs

68.

COMPUTER-READABLE RECORDING MEDIUM STORING MACHINE LEARNING PROGRAM AND MACHINE LEARNING METHOD

      
Numéro d'application 18358983
Statut En instance
Date de dépôt 2023-07-26
Date de la première publication 2024-04-18
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Sakai, Yasufumi

Abrégé

A non-transitory computer-readable recording medium stores a machine learning program for causing a computer to execute a process including: for a machine learning model that includes a plurality of preliminarily trained layers, a first output layer formed according to a downstream task and coupled to a final layer of the plurality of layers, and a plurality of second output layers that is coupled to respective outputs of layers other than the final layer of the plurality of layers and has a same configuration as the first output layer, training only the first output layer and the second output layer of the machine learning model using the downstream task; and training the entire machine learning model that includes the first output layer and the second output layer using the downstream task.

Classes IPC  ?

69.

COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18351834
Statut En instance
Date de dépôt 2023-07-13
Date de la première publication 2024-04-18
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Liang, Jun

Abrégé

A non-transitory computer-readable recording medium storing an information processing program for causing a computer to execute processing including: selecting a sentence of a second vector similar to a first vector, based on the first vector of a sentence that belongs to a first domain and the second vector of a sentence that belongs to a second domain; determining whether or not the selected sentence is the sentence that belongs to the first domain, by inputting the selected sentence into a classifier trained by using the sentence that belongs to the first domain; and extracting the sentence that belongs to the first domain, from among a plurality of the selected sentences, based on a determination result.

Classes IPC  ?

70.

METHOD AND APPARATUS FOR EVALUATING TRANSMISSION IMPAIRMENTS OF MULTIPLEXING CONVERTER

      
Numéro d'application 18378372
Statut En instance
Date de dépôt 2023-10-10
Date de la première publication 2024-04-18
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Su, Xiaofei
  • Ye, Tong
  • Tao, Zhenning

Abrégé

A method and an apparatus for evaluating transmission impairments of a multiplexing converter. According to the method, impairments of a multiplexing converter are equivalent to the equivalent multiplicative noise and the equivalent additive noise, so as to allow evaluation of transmission impairments of the multiplexing converter, thereby to allow evaluation of the performance of a communication system. The multiplexing converter is a multiplexing analog-to-digital converter, or a multiplexing digital-to-analog converter. According to the present application, impairments of a multiplexing converter can be evaluated accurately, the performance evaluation of a communication system using the multiplexing converter is given, without being affected by an amplitude, a modulation format and a transmission rate of an input signal.

Classes IPC  ?

  • H04B 17/309 - Mesure ou estimation des paramètres de qualité d’un canal

71.

COOLING DEVICE

      
Numéro d'application 18392224
Statut En instance
Date de dépôt 2023-12-21
Date de la première publication 2024-04-18
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Ohga, Kento
  • Kubo, Hideo
  • Sasabe, Kenji
  • Kodama, Masahide
  • Endo, Atsushi
  • Hirai, Keita
  • Aoki, Nobumitsu
  • Urai, Takashi

Abrégé

A cooling device includes: a container in which a refrigerant is sealed; an evaporating part that evaporates the refrigerant in a liquid phase by heat reception inside the container; a condensing part that condenses the refrigerant in a gas phase by heat dissipation inside the container; and a plate-shaped or block-shaped flow path member in which a plurality of flow paths configured to transport the refrigerant in a liquid phase from the condensing part to the evaporating part by surface tension inside the container is formed in parallel.

Classes IPC  ?

  • F28F 1/02 - Eléments tubulaires de section transversale non circulaire
  • H01L 23/427 - Refroidissement par changement d'état, p.ex. caloducs

72.

CUSTOMER ADVISORY AND SUPPORT EXCELLENCE

      
Numéro de série 98505096
Statut En instance
Date de dépôt 2024-04-17
Propriétaire FUJITSU LIMITED (Japon)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

downloadable computer programs for providing advice and consultancy regarding business management, artificial intelligence, cloud computing, business workflows, information technology management, risk management, and information technology troubleshooting business management analysis; business consultancy; business management supervision; business consulting services in the field of data processing, digital transformation, information processing, and information communication networks; providing consulting services in the area of global sustainable business solutions; business consulting services for digital transformation; business assistance, advisory services and consultancy in the field of new business analysis; providing consumer information in the field of artificial intelligence (AI)-related products and services for the business support for other companies; business advisory services and consultancy, in the field of pharmaceuticals; business management advice in the field of introduction of IT (information technology); analysis of customer trend information; providing business assistance to others in the operation of data processing apparatus namely, computers provision of information relating to computer programs via the Internet; technical advice relating to computer systems; computer configuration, installation, functional expansion, adaptation, and optimization of functions, and provision of information thereof; design, planning, environment setting, installation, functional expansion, adaptation, maintenance and optimization of computer programs, and provision of information thereof; advice on design, planning or maintenance of computer programs; advice on design, planning or maintenance of communication network systems; diagnosis and consulting on security measures for communication network systems; advice and consultancy in the field of computer security; data security consultancy; consulting services in the field of cloud computing; technological advice relating to computers, automobiles and industrial machines; software as a service (SaaS) services featuring software for providing advice and consultancy regarding business management, artificial intelligence, cloud computing, business workflows, information technology management, risk management, and information technology troubleshooting; platform as a service (PaaS) services featuring computer software platforms for providing advice and consultancy regarding business management, artificial intelligence, cloud computing, business workflows, information technology management, risk management, and information technology troubleshooting

73.

COMPUTER-READABLE RECORDING MEDIUM STORING DETERMINATION PROGRAM, DETERMINATION METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18363431
Statut En instance
Date de dépôt 2023-08-01
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Komikado, Tao
  • Maruhashi, Koji

Abrégé

A computer-readable recording medium storing a program for causing a computer to execute processing including: acquiring a first determination result of first graph data by performing determination processing on the first graph data; acquiring one or more first scores regarding a feature of the first graph data by using a trained model, the one or more first scores representing a basis of the first determination result of the first graph data, the trained model being a model configured to output, in response to obtaining graph data, one or more scores regarding the feature of the graph data; in a case where all of the one or more first scores are less than a threshold, specifying second graph data being a second determination result different from the first determination result; and outputting, in association with the first determination result, information regarding the feature of the second graph data.

Classes IPC  ?

  • G06N 3/042 - Réseaux neuronaux fondés sur la connaissance; Représentations logiques de réseaux neuronaux

74.

COMPUTER-READABLE RECORDING MEDIUM STORING MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18221417
Statut En instance
Date de dépôt 2023-07-13
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Yasutomi, Suguru
  • Hiromoto, Masayuki

Abrégé

A non-transitory computer-readable recording medium storing a machine learning program for causing a computer to execute a process, the process includes inputting moving image data that includes at least a first frame image and a second frame image to a first machine learning model trained by using training data, and training an encoder by detecting a first object and a second object from the first frame image and the second frame image, respectively, based on an inference result by the first machine learning model, determining identity between the first object and the second object that have been detected, and inputting, to the encoder, first data in a first image area that includes the first object and second data in a second image area that includes the second object, the first object and the second object having been determined to have the identity.

Classes IPC  ?

  • G06V 20/58 - Reconnaissance d’objets en mouvement ou d’obstacles, p.ex. véhicules ou piétons; Reconnaissance des objets de la circulation, p.ex. signalisation routière, feux de signalisation ou routes
  • G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
  • G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p.ex. des objets vidéo

75.

OPTICAL TRANSMITTER AND BIAS CONTROL METHOD

      
Numéro d'application 18228751
Statut En instance
Date de dépôt 2023-08-01
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Matsuura, Hideyuki
  • Komaki, Kosuke
  • Sato, Hidetoshi
  • Ishidou, Katsutoshi

Abrégé

An optical transmitter includes: an optical modulator of a Mach-Zehnder type using an InP-based material; a bias controller configured to control a DC bias applied to the optical modulator; a monitor configured to monitor output light of the optical modulator to generate a monitor signal; and a corrector configured to correct a gain of the monitor signal in a direction in which wavelength dependency of insertion loss of the optical modulator is compensated according to a wavelength at a preceding stage of bias control by the bias controller.

Classes IPC  ?

  • H04B 10/079 - Dispositions pour la surveillance ou le test de systèmes de transmission; Dispositions pour la mesure des défauts de systèmes de transmission utilisant un signal en service utilisant des mesures du signal de données
  • H04B 10/54 - Modulation d'intensité

76.

OPTICAL TRANSMISSION SYSTEM, WAVELENGTH CONVERTER, AND OPTICAL TRANSMISSION DEVICE

      
Numéro d'application 18229478
Statut En instance
Date de dépôt 2023-08-02
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Irie, Hiroyuki
  • Nakashima, Hisao

Abrégé

An optical transmission system includes: a WDM transmission device configured to output WDM signal light including rays of a plurality of wavelengths; a wavelength converter configured to convert the WDM signal light into converted light in a different wavelength band; and a processor configured to control a signal level of the WDM signal light incident on the wavelength converter, wherein the processor controls the signal level of the WDM signal light so as to make the signal level of the WDM signal light decrease in a direction away from a wavelength of pump light used in the wavelength converter.

Classes IPC  ?

  • H04J 14/02 - Systèmes multiplex à division de longueur d'onde
  • H04B 10/572 - Commande de la longueur d’onde

77.

COMPUTER-READABLE RECORDING MEDIUM STORING MACHINE LEARNING PROGRAM, INFORMATION PROCESSING DEVICE, AND MACHINE LEARNING METHOD

      
Numéro d'application 18234883
Statut En instance
Date de dépôt 2023-08-17
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Kamata, Yuichi

Abrégé

A non-transitory computer-readable recording medium storing a machine learning program for causing a computer to execute a process to train a machine learning model constructed by combining a plurality of modules configured by a neural network, the process includes parsing dependency between words for a plurality of words included in a question sentence of training data that forms a set of an image and the question sentence related to the image, determining a weight to be applied to each of the plurality of modules, based on a result of the parsing, and controlling selection of a combination of modules to be used in the machine learning model from the plurality of modules, based on the weight to be applied to each of the plurality of modules.

Classes IPC  ?

  • G06N 3/084 - Rétropropagation, p.ex. suivant l’algorithme du gradient

78.

COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18323443
Statut En instance
Date de dépôt 2023-05-25
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Iijima, Naoki

Abrégé

A recording medium stores a program for causing a computer to execute a process including: accepting selection of one or more atoms among a plurality of atoms that form a target molecule that exists in a predetermined coordinate space; and altering coordinates of each atom of the one or more atoms from first coordinates to second coordinates in the coordinate space based on: a unit vector between the coordinates of a first atom and a second atom of which a bond length is to be changed; a normal vector with respect to a plane formed by a first bond axis and a second bond axis of which a bond angle is to be changed; or a rotation matrix of the second atom of which a rotation angle is to be changed; or any combination of the unit vector, the normal vector, or the rotation matrix, in the coordinate space.

Classes IPC  ?

  • G16C 10/00 - Chimie théorique computationnelle, c. à d. TIC spécialement adaptées aux aspects théoriques de la chimie quantique, de la mécanique moléculaire, de la dynamique moléculaire ou similaires

79.

DOHERTY AMPLIFICATION DEVICE

      
Numéro d'application 18351079
Statut En instance
Date de dépôt 2023-07-12
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Aoki, Toshiyuki
  • Komatsuzaki, Akihiko
  • Hamano, Mitsuharu

Abrégé

A Doherty amplification device includes a distributor to distribute, into first and second signals, an input signal after distortion-compensation, first and second amplifiers, a combiner to combine the amplified first and second signals, and an adjuster between the distributor and the first or second amplifiers and to include a first calculation circuit to obtain a first-characteristic indicating a relationship of a gain of an output signal with respect to reference-power of the input signal, based on the output signal and the input signal, a classification circuit to classify the first-characteristic into regions according to the reference-power, a second calculation circuit to obtain a statistical-value of the gain for each regions, and a determination circuit to set, in the adjuster, a phase-delay at which distortion to be generated in the output signal is minimized, based on the statistical-value, wherein the adjuster adjusts the phase-delay of the first or second signals.

Classes IPC  ?

  • H03F 1/02 - Modifications des amplificateurs pour augmenter leur rendement, p.ex. étages classe A à pente glissante, utilisation d'une oscillation auxiliaire
  • H03F 1/32 - Modifications des amplificateurs pour réduire la distorsion non linéaire
  • H03F 1/56 - Modifications des impédances d'entrée ou de sortie, non prévues ailleurs
  • H03F 3/24 - Amplificateurs de puissance, p.ex. amplificateurs de classe B, amplificateur de classe C d'étages transmetteurs de sortie

80.

COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18355454
Statut En instance
Date de dépôt 2023-07-20
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Iwakura, Satoko
  • Nitta, Izumi
  • Ohashi, Kyoko

Abrégé

A computer-readable recording medium has stored therein a machine learning program executable by one or more computers, the machine learning program including: an instruction for comparing a first plurality of relationship information pieces with a second plurality of relationship information pieces, the first plurality of relationship information pieces being determined in terms of an inputted configuration of a first Artificial Intelligence (AI) system and each including a plurality of attributes, the second plurality of relationship information pieces being determined in terms of a second AI system; an instruction for determining priorities of the first plurality of relationship information pieces, the priorities being based on a result of the comparing; and an instruction for outputting, as a checklist of the first AI system, one or more check items selected in accordance with the determined priorities from among a plurality of check items associated with the plurality of attributes.

Classes IPC  ?

  • G06Q 10/0635 - Analyse des risques liés aux activités d’entreprises ou d’organisations
  • G06N 20/00 - Apprentissage automatique

81.

TRANSFER METHOD, TRANSFER PROGRAM, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application JP2022037734
Numéro de publication 2024/075306
Statut Délivré - en vigueur
Date de dépôt 2022-10-07
Date de publication 2024-04-11
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Kaino, Gen

Abrégé

An information processing device (101) calculates a first transfer time and a second transfer time on the basis of the band of a communication path (103) between a first site (104) and a second site (105), and on the basis of the compression load of information (d). The first transfer time is the transfer time that it takes to compress the information (d) and transfer same to the second site (105). The second transfer time is the transfer time that it takes to transfer the information (d) to the second site (105) without compressing same. The information processing device (101) compresses the information (d) and transfers same to the second site (105) if the first transfer time and the second transfer time both satisfy a target recovery time point. The information processing device (101) transfers the information (d) to the second site (105) without compressing same if the first transfer time does not satisfy the target recovery time point and the second transfer time does satisfy the target recovery time point.

Classes IPC  ?

  • G06F 16/11 - Administration des systèmes de fichiers, p.ex. détails de l’archivage ou d’instantanés

82.

INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD AND INFORMATION PROCESSING DEVICE

      
Numéro d'application JP2022037735
Numéro de publication 2024/075307
Statut Délivré - en vigueur
Date de dépôt 2022-10-07
Date de publication 2024-04-11
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Asai, Tatsuya

Abrégé

This information processing device has an expanded knowledge database (800). The information processing device reads out a plurality of hypotheses which include the hypothesis "X:A→B," the hypothesis "Y:A→B," and the hypothesis "Z:A→B." The information processing device calculates, as a ratio of conditions, the ratio of the union obtained by joining conditions X, conditions Y and conditions Z to a universal set Ω which encompasses the conditions X, the conditions Y and the conditions Z. When the calculated ratio of conditions is equal to or greater than a threshold, the information processing device adds the hypothesis "Ω:A→B," which unconditionally expresses the cause-and-effect relationship "A→B," to the expanded knowledge database (800).

Classes IPC  ?

  • G06N 5/022 - Ingénierie de la connaissance; Acquisition de la connaissance

83.

COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18346448
Statut En instance
Date de dépôt 2023-07-03
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Ogihara, Kazutaka
  • Shiraishi, Takashi
  • Otsuka, Masato
  • Nishio, Naoya
  • Fukumura, Hiromi
  • Kondo, Reiko

Abrégé

A method includes calculating a plurality of first index values indicating access loads from one or more first virtual storage devices accessing a first physical storage device of a plurality of physical storage devices, to the first physical storage device, in a case where access loads from the one or more first virtual storage devices to a plurality of second physical storage devices including the first physical storage device are equalized across the second physical storage devices, the plurality of second physical storage devices being associated with the one or more first virtual storage devices; and outputting a plurality of second index values indicating access loads from a plurality of virtual machines to the first physical storage device, the second index values being obtained by summing the calculated first index values for each virtual machine associated with each of the one or more first virtual storage devices.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement
  • G06F 9/455 - Dispositions pour exécuter des programmes spécifiques Émulation; Interprétation; Simulation de logiciel, p.ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation

84.

COMPUTER-READABLE RECORDING MEDIUM STORING MULTI-AGENT REINFORCEMENT LEARNING PROGRAM, INFORMATION PROCESSING APPARATUS, AND MULTI-AGENT REINFORCEMENT LEARNING METHOD

      
Numéro d'application 18214528
Statut En instance
Date de dépôt 2023-06-27
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Okawa, Yoshihiro
  • Dan, Hayato
  • Ishikawa, Natsuki
  • Ogawa, Masatoshi

Abrégé

A process includes obtaining, according to a predetermined update order of a policy parameter of each agent, a degree of influence on a constraint specific to a first agent and a degree of influence on a system-wide constraint in which a degree of influence by an updated policy parameter of a second agent previous to the first agent in the update order is shared, and in a case where an update width of the policy parameter of the first agent exists in both ranges respectively determined depending on the degree of influence on the constraint specific to the first agent and the degree of influence on the system-wide constraint, updating the policy parameter of the first agent and causing the degree of influence on the system-wide constraints by the updated policy parameter to be shared with a third agent next to the first agent in the update order.

Classes IPC  ?

85.

ARITHMETIC PROCESSING DEVICE AND ARITHMETIC PROCESSING METHOD

      
Numéro d'application 18216186
Statut En instance
Date de dépôt 2023-06-29
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Okazaki, Ryohei

Abrégé

An arithmetic processing device executes instructions by pipeline processing. In the arithmetic processing device, a branch predictor includes a prediction holder holding a prediction value of a consecutively taken branch count, a current taken branch count, and a prediction value of a remaining taken branch count for conditional branch instructions. A branch instruction issuance scheduler outputs an instruction refetch request upon a branch prediction miss of a conditional branch instruction held at an entry other than a head of a branch instruction completion queue holding branch instructions to be completed, and a repair request to the branch predictor for conditional branch instructions held between the entry and the head of the queue. In response to the requests, the branch predictor updates the prediction value of the remaining taken branch count for the conditional branch instructions corresponding to the repair request.

Classes IPC  ?

  • G06F 9/38 - Exécution simultanée d'instructions

86.

PROCESSOR

      
Numéro d'application 18216780
Statut En instance
Date de dépôt 2023-06-30
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Sakashita, Sota

Abrégé

A processor includes an operation executer configured to execute pipeline processing of an operation instruction, wherein the operation executer includes a first register configured to hold data to be used for an operation; a pre-processor configured to pre-process data held in the first register; a second register configured to hold the data pre-processed by the pre-processor; an operator configured to execute an operation on the data held in the first register or the data held in the second register; and a selector configured to connect an output of the first register or an output of the second register to an input of the operator.

Classes IPC  ?

  • G06F 9/30 - Dispositions pour exécuter des instructions machines, p.ex. décodage d'instructions
  • G06F 9/48 - Lancement de programmes; Commutation de programmes, p.ex. par interruption

87.

CUTOFF ENERGY DETERMINATION METHOD AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18221394
Statut En instance
Date de dépôt 2023-07-13
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Ohta, Eiji

Abrégé

A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes in repeat calculation of electron density of a substance by a self-consistent field method that uses a specific number of wave functions according to cutoff energy, executing a second electron density calculation at an (N+1)-th time (N is an integer greater than or equal to 1) by applying second cutoff energy of a value smaller than first cutoff energy applied to an first electron density calculation at an N-th time, determining whether the electron density obtained by the second electron density calculation at the (N+1)-th time satisfies a predetermined condition, and outputting the value of the second cutoff energy in a case where the condition is not satisfied.

Classes IPC  ?

  • G16C 60/00 - Science informatique des matériaux, c. à d. TIC spécialement adaptées à la recherche des propriétés physiques ou chimiques de matériaux ou de phénomènes associés à leur conception, synthèse, traitement, caractérisation ou utilisation
  • G06F 17/11 - Opérations mathématiques complexes pour la résolution d'équations
  • G16C 10/00 - Chimie théorique computationnelle, c. à d. TIC spécialement adaptées aux aspects théoriques de la chimie quantique, de la mécanique moléculaire, de la dynamique moléculaire ou similaires

88.

COMPUTER-READABLE RECORDING MEDIUM STORING SAMPLING PROGRAM, SAMPLING METHOD, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18353243
Statut En instance
Date de dépôt 2023-07-17
Date de la première publication 2024-04-11
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Ichikawa, Yuma

Abrégé

A non-transitory computer-readable recording medium stores a program for causing a computer to execute a sampling process including: converting first data in a latent space into second data in a data space by using a machine learning model that has the latent space transformable into an isometric space with same probability distribution as the data space according to a predetermined transformation rule; determining whether or not to accept the second data as a transition state in a Markov chain Monte Carlo method from an accepted first sample in the data space with an acceptance probability based on the transformation rule; and outputting the second data as a second sample of the transition state from the first sample when the second data is determined to be accepted.

Classes IPC  ?

  • G06F 17/18 - Opérations mathématiques complexes pour l'évaluation de données statistiques

89.

RELAY DEVICE, BASE STATION DEVICE, AND WIRELESS COMMUNICATION SYSTEM

      
Numéro d'application JP2022037347
Numéro de publication 2024/075232
Statut Délivré - en vigueur
Date de dépôt 2022-10-05
Date de publication 2024-04-11
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Hori Takako

Abrégé

A relay device having a relay function that relays wireless communication between a base station device and a terminal device and is controlled by the base station device, the relay device including: a reception unit that receives a signal including information indicating a communication state transition from the base station device; and a control unit that, when the signal is a first signal including a first identifier, controls the communication state so as to transition from a second state to a first state.

Classes IPC  ?

  • H04W 16/26 - Amplificateurs de cellules, p.ex. pour tunnels ou effet d'écran créé par des immeubles

90.

RECOMMENDING VERSION UPDATES FOR SOFTWARE PACKAGES

      
Numéro d'application 17937420
Statut En instance
Date de dépôt 2022-09-30
Date de la première publication 2024-04-04
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Liu, Lei
  • Chen, Wei-Peng

Abrégé

According to an aspect of an embodiment, operations for recommending version updates for software packages are provided. The operations may include receiving an input which indicates a usage of a first version of a first software package inside a source code of a software and determining a second version of the first software package. The operations may further include selecting one or more constraints from a set of constraints and executing a set of checks based on the selected constraints to determine a suitability of the second version as an update for the first version. The set of constraints may include a security constraint, a backward compatibility constraint, an interoperability constraint, and a performance constraint. The operations may further include controlling an electronic device to render user-assistive information that includes a recommendation to update the first version to the second version.

Classes IPC  ?

  • G06F 8/65 - Mises à jour
  • G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p.ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité

91.

COMPUTER-READABLE RECORDING MEDIUM STORING DATA SYNCHRONIZATION PROGRAM, DATA SYNCHRONIZATION METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18336393
Statut En instance
Date de dépôt 2023-06-16
Date de la première publication 2024-04-04
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Kawasaki, Minami
  • Nakayama, Takayoshi
  • Taka, Kenji

Abrégé

A computer-readable recording medium storing a program for causing a first information processing device among information processing devices that manages data in relational databases, to execute processing including: storing, in a first relational database, data of tables, each table of the tables having relevance to at least any one of the tables, the first relational database being a relational database in which the first information processing device manages data; and in response to a request for transmitting a first table among the tables stored in the first relational database, transmitting to a second relational database in which a second information processing device manages data, data of the first table stored in the first relational database, and data of a second table that has relevance to the first table, the second information processing device being any one of the information processing devices other than the first information processing device.

Classes IPC  ?

  • G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuées; Architectures de systèmes de bases de données distribuées à cet effet
  • G06F 16/22 - Indexation; Structures de données à cet effet; Structures de stockage

92.

CONTROL SYSTEM, CONTROL DEVICE, CONTROL METHOD, AND COMPUTER-READABLE RECORDING MEDIUM STORING CONTROL PROGRAM

      
Numéro d'application 18338544
Statut En instance
Date de dépôt 2023-06-21
Date de la première publication 2024-04-04
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Inoue, Koki
  • Taka, Kenji
  • Nakayama, Takayoshi
  • Fukuzaki, Shinya
  • Itaya, Satoshi
  • Otsuki, Naofumi
  • Fukumoto, Wataru
  • Usui, Tomomi

Abrégé

A system including control devices configured to perform nth-order transmission, each control device including: a storage device storing, in relation to the control devices, a source list being a list of the control devices to be passed through from a most upstream control device to the control device and a destination list being a list of the control devices to be passed through from the control device to a most downstream control device; and a processor performing processing including: when an update request including a first source list of a first control device is received, updating the source list using the update request, generating a new update request using the updated source list, and transmitting the new update request to a second control device; and when a completion response including a second destination list of the second control device is received, updating the destination list using the completion response.

Classes IPC  ?

  • G05B 15/02 - Systèmes commandés par un calculateur électriques

93.

COMPUTER-READABLE RECORDING MEDIUM STORING DATA MANAGEMENT PROGRAM, DATA MANAGEMENT METHOD, AND DATA MANAGEMENT DEVICE

      
Numéro d'application 18338843
Statut En instance
Date de dépôt 2023-06-21
Date de la première publication 2024-04-04
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Iguchi, Yasutaka
  • Nakayama, Takayoshi
  • Taka, Kenji

Abrégé

A non-transitory computer-readable recording medium storing a data management program for causing a data management device to execute a process including: accepting, from another data management program among a plurality of data management programs that has accepted, from a data owner, a request for cancellation of consent to data sharing regarding the data sharing among the plurality of data management programs, consent identification information commonly issued to a set of data for which the data sharing has been consented and that is designated by the data owner when the consent to the data sharing is cancelled; and executing deletion of the data that corresponds to the consent identification information that matches the consent identification information accepted by the another data management program among pieces of the consent identification information associated with a data body managed by the data management program.

Classes IPC  ?

  • G06F 16/176 - Support d’accès partagé aux fichiers; Support de partage de fichiers
  • G06F 16/16 - Opérations sur les fichiers ou les dossiers, p.ex. détails des interfaces utilisateur spécialement adaptées aux systèmes de fichiers
  • G06F 16/182 - Systèmes de fichiers distribués

94.

COMPUTER-READABLE RECORDING MEDIUM STORING NODE ALLOCATION PROGRAM AT THE TIME OF QUANTUM SIMULATION EXECUTION, NODE ALLOCATION METHOD AT THE TIME OF QUANTUM SIMULATION EXECUTION, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18340922
Statut En instance
Date de dépôt 2023-06-26
Date de la première publication 2024-04-04
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Ohtsuji, Hiroki

Abrégé

A recording medium stores a program for causing a computer to execute processing including: specifying a second quantum circuit of which a feature amount regarding communication is similar to a first quantum circuit used for a first quantum simulation, with reference to a first memory that stores a feature amount regarding communication of a quantum circuit, for each quantum circuit for a quantum simulation; calculating a predicted execution time of the first quantum simulation when the number of nodes are allocated for each of numbers of nodes, with reference to a second memory that stores a measured execution time for each number of nodes allocated to a quantum simulation in the past by using the specified second quantum circuit; and determining the number of nodes to be allocated to the first quantum simulation, from among the numbers of nodes, based on the calculated predicted execution time.

Classes IPC  ?

  • G06N 10/20 - Modèles d’informatique quantique, p.ex. circuits quantiques ou ordinateurs quantiques universels

95.

STORAGE MEDIUM, INFORMATION PROCESSING APPARATUS, AND PRODUCT PURCHASE SUPPORT METHOD

      
Numéro d'application 18354122
Statut En instance
Date de dépôt 2023-07-18
Date de la première publication 2024-04-04
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Yamazaki, Takashi
  • Oishi, Yusuke

Abrégé

A non-transitory computer-readable storage medium storing a product purchase support program that causes at least one computer to execute a process, the process includes receiving a first list for a first products for which a first user has performed a certain action from a mobile terminal; specifying a second list for a second products that corresponds to the first products included; and transmitting, to the mobile terminal, information that indicates that the certain action has not been performed for the second products when it is determined that the mobile terminal has moved to a position different from a position where the second products are arranged before information that indicates that the first user has performed the certain action for the second products is received from the mobile terminal.

Classes IPC  ?

96.

FORWARDER INDICATION METHOD, FORWARDER, AND NETWORK DEVICE

      
Numéro d'application CN2022122669
Numéro de publication 2024/065409
Statut Délivré - en vigueur
Date de dépôt 2022-09-29
Date de publication 2024-04-04
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Zhang, Lei
  • Jiang, Qinyan
  • Tian, Yan
  • Wang, Xin

Abrégé

Embodiments of the present application provide a forwarder indication method, a forwarder, and a network device. The method comprises: a forwarder determines (by default or is expected) not to perform forwarding at a first time unless first information from a network device is received; and the forwarder receives second information used for indicating that the forwarder does not perform forwarding at the first time.

Classes IPC  ?

97.

FORWARDING METHOD FOR REPEATER ACCESS LINK, AND APPARATUS

      
Numéro d'application CN2022122685
Numéro de publication 2024/065414
Statut Délivré - en vigueur
Date de dépôt 2022-09-29
Date de publication 2024-04-04
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Tian, Yan
  • Jiang, Qinyan
  • Zhang, Lei

Abrégé

A forwarding method for a repeater access link, and an apparatus. The method comprises: a reception unit of a repeater receives a wave beam identifier of an access link from a network device; and a forwarding unit of the repeater uses a wave beam corresponding to the received wave beam identifier to perform forwarding.

Classes IPC  ?

  • H04L 27/00 - Systèmes à porteuse modulée
  • H04W 16/28 - Structures des cellules utilisant l'orientation du faisceau

98.

PACKET DATA CONVERGENCE PROTOCOL ENTITY ESTABLISHMENT APPARATUS AND METHOD, AND PACKET DATA CONVERGENCE PROTOCOL ENTITY ESTABLISHMENT INDICATION APPARATUS AND METHOD

      
Numéro d'application CN2022122906
Numéro de publication 2024/065524
Statut Délivré - en vigueur
Date de dépôt 2022-09-29
Date de publication 2024-04-04
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Yi, Su
  • Jia, Meiyi

Abrégé

Provided in the embodiments of the present application are a packet data convergence protocol (PDCP) entity establishment apparatus and method, and a PDCP entity indication apparatus and method. The PDCP entity establishment method comprises: mapping a QoS flow to at least one data radio bearer, wherein the QoS flow comprises at least one QoS sub-flow, and one QoS sub-flow corresponds to one data radio bearer; and establishing at least one corresponding PDCP entity for the at least one data radio bearer, wherein the at least one PDCP entity shares first information. In this way, on the basis of QoS sub-flows, QoS differentiation can be performed on PDU sets having different levels of importance in a QoS flow, and the consistency of the QoS flow in different PDCP entities can be ensured.

Classes IPC  ?

99.

METHOD AND APPARATUS FOR TRANSMITTING AND RECEIVING SIGNAL, AND COMMUNICATION SYSTEM

      
Numéro d'application CN2022122929
Numéro de publication 2024/065537
Statut Délivré - en vigueur
Date de dépôt 2022-09-29
Date de publication 2024-04-04
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Jiang, Qinyan
  • Zhang, Lei
  • Tian, Yan

Abrégé

Embodiments of the present application provide a method and apparatus for transmitting and receiving a signal, and a communication system. The apparatus is applied to a repeater. The apparatus comprises a first transmitting and receiving unit. The first transmitting and receiving unit is configured to: receive at least one first downlink control information format (DCI format), the first DCI format being used for controlling a forwarding module of the repeater; and send feedback information corresponding to the first DCI format and/or a shared channel (PDSCH and/or PUSCH) scheduled by the first DCI format.

Classes IPC  ?

100.

SWITCH CONTROL METHOD, INFORMATION INDICATION METHOD, REPEATER, AND NETWORK DEVICE

      
Numéro d'application CN2022122930
Numéro de publication 2024/065538
Statut Délivré - en vigueur
Date de dépôt 2022-09-29
Date de publication 2024-04-04
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Jiang, Qinyan
  • Zhang, Lei
  • Tian, Yan

Abrégé

A switch control method, an information indication method, a repeater (500), and a network device (101). The method comprises: a mobile terminal (501) of the repeater (500) performing random access, and a forwarding unit (502) of the repeater (500) being in an off state when the mobile terminal (501) of the repeater (500) sends a random access preamble.

Classes IPC  ?

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