Fujitsu Limited

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Propriétaire / Filiale
[Owner] Fujitsu Limited 9 816
Fujitsu Ten Limited 2
Fujitsu Component Limited 1
Date
Nouveautés (dernières 4 semaines) 48
2024 mai (MACJ) 27
2024 avril 46
2024 mars 38
2024 février 33
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Classe IPC
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
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole 326
G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement 308
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques 278
H04J 14/02 - Systèmes multiplex à division de longueur d'onde 276
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Statut
En Instance 1 230
Enregistré / En vigueur 8 586
Résultats pour  brevets
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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.

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  ?

7.

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

8.

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

9.

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

10.

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  ?

11.

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

12.

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

13.

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

14.

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  ?

15.

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

16.

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

17.

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

18.

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

19.

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

20.

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

21.

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

22.

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

23.

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

24.

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

25.

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

26.

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

27.

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

28.

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  ?

29.

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

30.

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

31.

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  ?

32.

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  ?

33.

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  ?

34.

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  ?

35.

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

36.

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

37.

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

38.

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

39.

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

40.

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

41.

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

42.

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

43.

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

44.

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

45.

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  ?

46.

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  ?

47.

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

48.

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

49.

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

50.

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

51.

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

52.

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

53.

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

54.

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

55.

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

56.

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

57.

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

58.

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  ?

59.

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

60.

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

61.

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

62.

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

63.

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

64.

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

65.

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

66.

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

67.

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

68.

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  ?

69.

STORAGE MEDIUM, FLOW GENERATION METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18319517
Statut En instance
Date de dépôt 2023-05-18
Date de la première publication 2024-04-04
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Maruo, Akito
  • Jippo, Hideyuki
  • Soeda, Takeshi

Abrégé

A non-transitory computer-readable storage medium storing a flow generation program that causes at least one computer to execute a process, the process includes based on first metadata that corresponds to a first problem of processing flow generation, selecting a processing flow that corresponds to a second problem with second metadata with a certain similarity level with respect to the first metadata by referring to a memory that stores a plurality pieces of metadata and a plurality of processing flows that correspond to each of a plurality of problems, the plurality of problems including the first problem and the second problem; and specifying a tree structure of the process flow that corresponds to the first problem based on genetic programming that uses the selected processing flow as an initial individual.

Classes IPC  ?

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

70.

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

      
Numéro d'application 18350253
Statut En instance
Date de dépôt 2023-07-11
Date de la première publication 2024-04-04
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Suehiro, Yoshitaka
  • Tomofuji, Masao
  • Dambayashi, Shigeyuki
  • Oyake, Tsuyoshi
  • Okada, Hayato
  • Saito, Chikara

Abrégé

A control method in which a computer executes processing includes: specifying a first data group of which a processing load of a query is less than a first reference value, in a first data constellation, based on statistical information that indicates a statistical value regarding the processing load of the query, for each data group to be an access unit of the query, in the first data constellation included in a first execution environment included in a plurality of execution environments that has different data constellations; specifying a second execution environment that has a second data constellation that includes the specified first data group, included in the plurality of execution environments, other than the first execution environment; and controlling the plurality of execution environments to transmit a new query that uses the specified first data group as an access unit to the specified second execution environment.

Classes IPC  ?

  • G06F 16/2453 - Optimisation des requêtes
  • G06F 16/22 - Indexation; Structures de données à cet effet; Structures de stockage
  • G06F 16/2455 - Exécution des requêtes
  • G06F 16/2458 - Types spéciaux de requêtes, p.ex. requêtes statistiques, requêtes floues ou requêtes distribuées

71.

DATA PROCESSING APPARATUS AND DATA PROCESSING METHOD

      
Numéro d'application 18372413
Statut En instance
Date de dépôt 2023-09-25
Date de la première publication 2024-04-04
Propriétaire
  • Fujitsu Limited (Japon)
  • THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO (Canada)
Inventeur(s)
  • Chen, Sigeng
  • Rosenthal, Jeffrey Seth
  • Sheikholeslamii, Ali
  • Tamura, Hirotaka
  • Dote, Aki

Abrégé

A storing unit stores, amongst coefficients, values of a coefficient group associated with one selected from multiple variable groups, which are obtained by dividing state variables of an evaluation function. A searching unit searches for a solution to an optimization problem by repeating update processing, which includes calculating, using the values of the coefficient group, a value change of the evaluation function responsive to changing the value of each state variable of the variable group and changing the value of one state variable thereof based on the value change and temperature. A processing unit calculates multiplicity indicating the iteration count in which the values of the variable group are maintained in a search using Markov chain Monte Carlo (MCMC), and causes, responsive to cumulated multiplicity exceeding a threshold, the searching unit to perform the update processing using the values of the coefficient group associated with a different variable group.

Classes IPC  ?

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

72.

OPTICAL TRANSMIT DEVICE

      
Numéro d'application 18459481
Statut En instance
Date de dépôt 2023-09-01
Date de la première publication 2024-04-04
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Naganuma, Tomohiro
  • Murakami, Shoichi

Abrégé

An optical transmit device includes a conversion device configured to convert an electrical data signal into an optical signal, a control unit configured to change an adjustment value for peaking based on a baud rate of the optical signal, and a driver configured to change a band characteristic of the conversion device based on the adjustment value changed by the control unit.

Classes IPC  ?

  • H04B 10/2575 - Radio sur fibre, p.ex. signal radio modulé en fréquence sur une porteuse optique

73.

OPTICAL RECEIVER

      
Numéro d'application 18459486
Statut En instance
Date de dépôt 2023-09-01
Date de la première publication 2024-04-04
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Naganuma, Tomohiro
  • Murakami, Shoichi

Abrégé

An optical receiver includes a converter that converts an optical signal into an electrical data signal, a controller that changes an adjustment value of peaking based on a baud rate of the optical signal, and an amplifier that changes a band characteristic of the converter based on the adjustment value changed by the controller.

Classes IPC  ?

74.

WAVELENGTH CONVERSION DEVICE AND OPTICAL TRANSMISSION SYSTEM

      
Numéro d'application 18371162
Statut En instance
Date de dépôt 2023-09-21
Date de la première publication 2024-03-28
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Muranaka, Hidenobu
  • Kato, Tomoyuki
  • Takeyama, Tomoaki

Abrégé

A wavelength conversion device includes an optical medium that converts a first wavelength-multiplexed light including a plurality of first wavelengths belonging to a first wavelength band to a second wavelength-multiplexed light including a plurality of second wavelengths belonging to a second wavelength band, a first monitor configured to monitor power of the plurality of second wavelengths belonging to the second wavelength band, a storage unit that holds control information for adjusting a conversion characteristic of the optical medium, and a control unit configured to perform control of adjusting the conversion characteristic of the optical medium based on the control information acquired from the storage unit according to a first monitoring result by the first monitor.

Classes IPC  ?

  • H04J 14/02 - Systèmes multiplex à division de longueur d'onde

75.

SEQUENTIAL GROUP PROCESSING OF OPTIMIZATION PROBLEMS

      
Numéro d'application 17952296
Statut En instance
Date de dépôt 2022-09-25
Date de la première publication 2024-03-28
Propriétaire
  • FUJITSU LIMITED (Japon)
  • THE GOVERNING COUNCIL OF THE UNIVERSTIY OF TORONTO (Canada)
Inventeur(s)
  • Dabiri, Keivan
  • Sheikholeslami, Ali
  • Tamura, Hirotaka

Abrégé

A method may include obtaining variables that represent characteristics related to an optimization problem and weights that correspond to the variables. The variables may be divided into groups that each include a sub-set of the variables. The method may include obtaining a group local field matrix for each group of variables. Each local field matrix may include local field values that indicate interactions between a respective variable and the other variables as influenced by their respective weights. The method may include performing a semi-sequential trial process, which may be a stochastic process that includes performing trials with respect to the variables in which each trial determines whether to change a state of a variable. The semi-sequential trial process may include updating all of the group local field matrices based on the stochastic process results, and a solution to the optimization problem may be determined based on the results.

Classes IPC  ?

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

76.

INFORMATION PROCESSING APPARATUS AND PREDICTION METHOD

      
Numéro d'application 18223062
Statut En instance
Date de dépôt 2023-07-18
Date de la première publication 2024-03-28
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Suzuki, Kanata
  • Iimura, Yoshinobu
  • Ogawa, Masatoshi

Abrégé

A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes identifying, among pieces of feature information of a plurality of pieces of time-series data, a plurality of pieces of feature information similar to feature information of processing target time-series data, obtaining a predicted value distribution of the processing target time-series data based on each of the plurality of pieces of feature information, obtaining a combined distribution from the predicted value distribution, and determining a range of predicted value for the processing target time-series data based on the combined distribution.

Classes IPC  ?

  • G06F 16/2458 - Types spéciaux de requêtes, p.ex. requêtes statistiques, requêtes floues ou requêtes distribuées

77.

COMPUTING DEVICE AND COMPUTING METHOD

      
Numéro d'application 18326202
Statut En instance
Date de dépôt 2023-05-31
Date de la première publication 2024-03-28
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Kamikubo, Yuki

Abrégé

A computing device includes a memory and a processor coupled to the memory and configured to stride width based on request addresses of respective two memory access instructions that are presented by a given program counter and detect occurrence of a stride access based on request addresses of a plurality of memory access instructions that are presented by the given program counter and the calculated a stride width, and issue a prefetch request based on the stride width When the stride access is detected.

Classes IPC  ?

  • G06F 9/30 - Dispositions pour exécuter des instructions machines, p.ex. décodage d'instructions
  • G06F 9/32 - Formation de l'adresse de l'instruction suivante, p.ex. par incrémentation du compteur ordinal

78.

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

      
Numéro d'application 18334796
Statut En instance
Date de dépôt 2023-06-14
Date de la première publication 2024-03-28
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Takahashi, Jun
  • Zheng, Mingxie
  • Yoshitake, Toshiyuki
  • Nimura, Kazuaki

Abrégé

An information display apparatus including: a memory; and a processor coupled to the memory, the processor being configured to perform processing including: analyzing transmission information to extract first analysis information with respect to the transmission information; acquiring, from among a plurality of pieces of second analysis information, second analysis information similar to the first analysis information, the plurality of pieces of second analysis information being obtained by analyzing a plurality of pieces of reliable information; comparing the first analysis information with the acquired second analysis information similar to the first analysis information; and displaying a result of the comparison and the transmission information.

Classes IPC  ?

  • G06F 16/248 - Présentation des résultats de requêtes
  • G06F 21/64 - Protection de l’intégrité des données, p.ex. par sommes de contrôle, certificats ou signatures

79.

ALGORITHM SELECTING METHOD AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18337474
Statut En instance
Date de dépôt 2023-06-20
Date de la première publication 2024-03-28
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Imamura, Satoshi

Abrégé

An information processing apparatus calculates a plurality of first molecular energies corresponding to a plurality of first interatomic distances by using a first algorithm that iteratively updates a solution until a convergence condition is satisfied. The information processing apparatus specifies, based on a slope of a line segment indicating a relationship between the plurality of first interatomic distances and iteration counts, a plurality of second interatomic distances for which molecular energy is to be calculated by using a second algorithm. The information processing apparatus calculates second molecular energies corresponding to the specified plurality of second interatomic distances by using the second algorithm.

Classes IPC  ?

  • G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu

80.

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

      
Numéro d'application 18327212
Statut En instance
Date de dépôt 2023-06-01
Date de la première publication 2024-03-28
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Sakamoto, Takuya

Abrégé

A non-transitory computer-readable recording medium storing an information management program that causes a computer to execute a process, the process includes referring to a management storage device that stores correspondence information that associates each post with a storage device that stores information related to each post and specifying a specific storage device that corresponds to a specific post from among a plurality of storage devices, in a case of receiving a browse request of specific property information that indicates certainty of the specific post uploaded over the Internet; referring to the specific storage device and determining whether the specific property information exists; and transmitting the specific property information to a transmission source of the browse request in a case of determining that the specific property information exists.

Classes IPC  ?

81.

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

      
Numéro d'application 18334762
Statut En instance
Date de dépôt 2023-06-14
Date de la première publication 2024-03-28
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Yamaoka, Mebae

Abrégé

A non-transitory computer-readable recording medium storing an information management program for causing a computer to execute processing including: receiving distribution information obtained by attaching, to distribution content to be distributed by a user, attribute information on the user that includes signature information that is signed by an issuing authority that issues information regarding an attribute of the user and that proves that the issuing authority has issued the attribute information; verifying whether the attribute information on the user included in the distribution information is the attribute information issued by the issuing authority, by using the signature information; and outputting the distribution content, based on a verification result.

Classes IPC  ?

  • H04L 9/40 - Protocoles réseaux de sécurité

82.

WAVELENGTH CONVERTER AND OPTICAL TRANSMISSION SYSTEM

      
Numéro d'application 18348393
Statut En instance
Date de dépôt 2023-07-07
Date de la première publication 2024-03-28
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Kato, Tomoyuki

Abrégé

A wavelength converter includes: a first multiplexer that combines input signal light with wavelength-conversion excitation light; a second multiplexer that combines the signal light with Raman excitation light; a first nonlinear optical medium that generates wavelength-converted light of the signal light, based on a nonlinear optical effect; and a second nonlinear optical medium that amplifies wavelength-converted light of the signal light output from the first nonlinear optical medium. A wavelength of the Raman excitation light being a wavelength within an amplification band that allows Raman amplification of wavelength-converted light.

Classes IPC  ?

  • G02F 1/35 - Optique non linéaire
  • G02B 27/28 - Systèmes ou appareils optiques non prévus dans aucun des groupes , pour polariser
  • G02F 1/39 - Optique non linéaire pour la génération ou l'amplification paramétrique de la lumière, des infrarouges ou des ultraviolets
  • H04B 10/572 - Commande de la longueur d’onde
  • H04J 14/02 - Systèmes multiplex à division de longueur d'onde

83.

DETERMINATION METHOD, DETERMINATION PROGRAM, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18529071
Statut En instance
Date de dépôt 2023-12-05
Date de la première publication 2024-03-28
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Matsunami, Tomoaki

Abrégé

A determination method includes acquiring a plurality of images which are captured at different times by a camera; and determining, when each of the plurality of images includes a first image region of a face of a person and a second image region which is located outside the first image region and has a shape which satisfies a predetermined condition, whether the face of the person is a display object based on a state of change in a positional relationship between the first image region and the second image region between the plurality of images.

Classes IPC  ?

  • G06V 40/40 - Détection d’usurpation, p.ex. détection d’activité
  • G06T 3/60 - Rotation d'une image entière ou d'une partie d'image
  • G06V 10/22 - Prétraitement de l’image par la sélection d’une région spécifique contenant ou référençant une forme; Localisation ou traitement de régions spécifiques visant à guider la détection ou la reconnaissance
  • G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions

84.

OPTICAL TRANSMISSION SYSTEM, OPTICAL TRANSMISSION DEVICE, AND OPTICAL TRANSMISSION METHOD

      
Numéro d'application 17954985
Statut En instance
Date de dépôt 2022-09-28
Date de la première publication 2024-03-28
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Mukai, Akihiro
  • Kachita, Yoshito
  • Farra, David Dal

Abrégé

An optical transmission device configured to: receive an input of signal interruption information from a second optical transmission device that detects a signal interruption of signal light on a transmission path, and to receive an input of ASE light after the signal interruption, has a wavelength selective switch configured to drop and/or add signal light; a memory; and a processor coupled to the memory. The processor is configured to: switch, based on the input of the signal interruption information from the second optical transmission device, control of output of the wavelength selective switch from a constant level control of the output, to a constant level control of attenuation for holding an amount of the attenuation of the signal light constant; and return the constant level control of the attenuation to the constant level control of the output, after the input of the ASE light.

Classes IPC  ?

  • H04J 14/02 - Systèmes multiplex à division de longueur d'onde
  • 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

85.

OPTICAL WAVEGUIDE, QUANTUM COMPUTING DEVICE, AND METHOD FOR MANUFACTURING OPTICAL WAVEGUIDE

      
Numéro d'application 18522351
Statut En instance
Date de dépôt 2023-11-29
Date de la première publication 2024-03-21
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Ishiguro, Tetsuro
  • Miyatake, Tetsuya
  • Kawaguchi, Kenichi
  • Iwai, Toshiki
  • Doi, Yoshiyasu
  • Sato, Shintaro

Abrégé

An optical waveguide includes a diamond layer including a first surface, a second surface and a diamond layer including a complex defect; a first clad layer in contact with the first surface; a second clad layer in contact with the second surface and including a polarity; and a metal layer in Schottky contact with the second clad layer.

Classes IPC  ?

  • G02B 6/10 - OPTIQUE ÉLÉMENTS, SYSTÈMES OU APPAREILS OPTIQUES - Détails de structure de dispositions comprenant des guides de lumière et d'autres éléments optiques, p.ex. des moyens de couplage du type guide d'ondes optiques
  • G06N 10/40 - Réalisations ou architectures physiques de processeurs ou de composants quantiques pour la manipulation de qubits, p.ex. couplage ou commande de qubit

86.

INFORMATION MANAGEMENT PROGRAM, INFORMATION PROCESSING SYSTEM, AND INFORMATION MANAGEMENT METHOD

      
Numéro d'application 18208314
Statut En instance
Date de dépôt 2023-06-12
Date de la première publication 2024-03-21
Propriétaire
  • Fujitsu Limited (Japon)
  • KEIO UNIVERSITY (Japon)
Inventeur(s)
  • Sakamoto, Takuya
  • Nimura, Kazuaki
  • Matsukura, Ryuichi
  • Nakamichi, Koji
  • Fukui, Masayuki
  • Suzuki, Shigeya
  • Nakamura, Osamu
  • Abe, Ryosuke

Abrégé

A non-transitory computer-readable storage medium storing therein an information management program for causing a computer to execute a process comprises: receiving property information indicating a reliability of a post uploaded on the Internet and a digital signature generated from the property information; and storing the property information, to which identification information of the post and the digital signature are added, in a storage.

Classes IPC  ?

  • G06Q 50/00 - Systèmes ou procédés spécialement adaptés à un secteur particulier d’activité économique, p.ex. aux services d’utilité publique ou au tourisme
  • G06F 21/16 - Traçabilité de programme ou de contenu, p.ex. par filigranage

87.

COMPUTER-READABLE RECORDING MEDIUM STORING RULE FORMATION SUPPORT PROGRAM, RULE FORMATION SUPPORT METHOD, AND RULE FORMATION SUPPORT APPARATUS

      
Numéro d'application 18217612
Statut En instance
Date de dépôt 2023-07-03
Date de la première publication 2024-03-21
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Ito, Shunsuke

Abrégé

A process includes obtaining, based on history information of transactions by each user, a first tendency that indicates a selection frequency of each attribute in the transactions by a plurality of users and a second tendency that indicates a selection frequency of each attribute in the transactions by a predetermined target user, specifying an attribute that includes a difference equal to or greater than a predetermined value in the selection frequency of each attribute by comparing the first tendency and the second tendency, and when generating data to be used for one of creating and updating a model that corresponds to a rule of an attribute presented to the target user by integrating the first tendency and the second tendency, performing integration by using the second tendency for the specified attribute.

Classes IPC  ?

  • G06N 5/025 - Extraction de règles à partir de données
  • G06N 5/02 - Représentation de la connaissance; Représentation symbolique

88.

OPTICAL TRANSCEIVER, OPTICAL TRANSCEIVER DEVICE USING THE SAME, AND METHOD OF CONTROLLING LIGHT SOURCE WAVELENGTHS

      
Numéro d'application 18224654
Statut En instance
Date de dépôt 2023-07-21
Date de la première publication 2024-03-21
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Matsui, Jun
  • Akiyama, Tomoyuki
  • Tanaka, Shinsuke

Abrégé

An optical transceiver includes: an optical transceiver circuit; a light source device to multiplex light rays emitted from light source elements having different wavelengths, and output multiplexed light; a demultiplexer to demultiplex the light output from the light source device into wavelengths to supply the wavelengths to the optical transceiver circuit; monitors to monitor the wavelengths at output ports of the demultiplexer, respectively; and a wavelength controller to control the wavelengths of the light source elements, based on monitoring results of the monitors, wherein the demultiplexer includes unit circuits in each of which three asymmetric Mach-Zehnder interferometers having a predetermined arm length difference are cascaded in a tree shape, and each of the monitors is arranged at an output waveguide of an asymmetric Mach-Zehnder interferometer at an end of the cascaded tree, to be connected to the wavelength controller via a signal line.

Classes IPC  ?

  • G02B 6/293 - Moyens de couplage optique ayant des bus de données, c. à d. plusieurs guides d'ondes interconnectés et assurant un système bidirectionnel par nature en mélangeant et divisant les signaux avec des moyens de sélection de la longueur d'onde

89.

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

      
Numéro d'application 18307844
Statut En instance
Date de dépôt 2023-04-27
Date de la première publication 2024-03-21
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Itani, Norihiko
  • Nagato, Tsuyoshi

Abrégé

A computer-readable recording medium storing a specifying program for causing a computer to perform processing including: obtaining first information indicating an order of processing a plurality of objects; obtaining second information indicating a type being processable by each work device; obtaining a result of a simulation regarding processing of the work devices; counting a number N1 of objects having moved to another work device although processing is capable of being executed on an object to be distributed next, and counting a number N2 of objects being caused to wait since processing is executed on another object although processing is capable of being executed on the object to be distributed next, under conditions such that each object waits when the work device executes processing on another object; and specifying a work device to be increased or decreased, according to any of the number N1 or the number N2.

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

90.

STORAGE MEDIUM, ARITHMETIC OPERATION METHOD, AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18319516
Statut En instance
Date de dépôt 2023-05-18
Date de la première publication 2024-03-21
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Maruo, Akito

Abrégé

A non-transitory computer-readable storage medium storing an arithmetic operation program that causes at least one computer to execute a process, the process includes searching for first order information such that an evaluation value is updated as a generation progresses by using an evolutionary algorithm for a first individual that is a target of a combinatorial optimization process which includes an array search, the individual including the first order information; generating a first array by using the first order information; converting the first array into a QUBO format; and searching for a combination by using the converted first array.

Classes IPC  ?

  • G06F 9/30 - Dispositions pour exécuter des instructions machines, p.ex. décodage d'instructions
  • G06F 9/345 - Adressage de l'opérande d'instruction ou du résultat ou accès à l'opérande d'instruction ou au résultat d'opérandes ou de résultats multiples

91.

INFORMATION PROCESSING APPARATUS, OPTIMIZATION METHOD, AND STORAGE MEDIUM

      
Numéro d'application 18336146
Statut En instance
Date de dépôt 2023-06-16
Date de la première publication 2024-03-21
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Yamaguchi, Hideshi

Abrégé

An information processing apparatus configured to: acquire spatial information related to a space in which a plurality of cargoes are disposed, the spatial information including a height of each of the plurality of subspaces, generate, according to the spatial information, a first constraint condition which indicates that no other cargo is present in one of the subspaces in a path from another of the subspaces where a cargo to be carried into or out is disposed to an entrance/exit of the space, a second constraint condition which indicates a number of cargoes that do not exceed the height of the subspace, and a third constraint condition which indicates a maximum carrying capacity of the cargoes, and determine, based on the constraint conditions, disposition of the plurality of cargoes in the space on condition that a cargo which exceeds the height of the subspace is not disposed.

Classes IPC  ?

  • G06Q 10/087 - Gestion d’inventaires ou de stocks, p.ex. exécution des commandes, approvisionnement ou régularisation par rapport aux commandes

92.

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

      
Numéro d'application 18337671
Statut En instance
Date de dépôt 2023-06-20
Date de la première publication 2024-03-21
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Kurihara, Koji
  • Kawakami, Kentaro

Abrégé

A computer-readable recording medium stores a matrix operation program for a computer. In a matrix operation in which an arithmetic circuit executes processing that combines at least two columns included in a matrix, obtains a product of each of rows of the combined columns, and calculates a sum of the product of each of the rows for all combinations of columns in the matrix, the program causes the computer to divide the matrix into blocks of a column group based on a data size of the column and storage capacity of a second storage to be accessed by the arithmetic circuit prior to accessing a first storage that stores information related to the matrix such that the column group to be combined is contained in the second storage, and to execute the calculation processing for each block of the divided column group.

Classes IPC  ?

  • G06F 17/16 - Calcul de matrice ou de vecteur
  • G06Q 30/0201 - Modélisation du marché; Analyse du marché; Collecte de données du marché

93.

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

      
Numéro d'application 18351217
Statut En instance
Date de dépôt 2023-07-12
Date de la première publication 2024-03-21
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Hiromoto, Masayuki
  • Nakagawa, Akira

Abrégé

A non-transitory computer-readable recording medium stores a machine learning program causing a computer to execute a process including: calculating an average of latent variables by inputting input data to an encoder; sampling a noise, based on a probability distribution of the noise, in which a probability is decreased as the probability approaches to a center of the probability distribution from a predetermined position in the probability distribution; calculating the latent variable by adding the noise to the average; calculating output data by inputting the calculated latent variable to a decoder; and training the encoder and the decoder in accordance with a loss function, the loss function including encoding information and an error between the input data and the output data, the encoding information being information of a probability distribution of the calculated latent variable and a prior distribution of the latent variable.

Classes IPC  ?

  • G06N 20/00 - Apprentissage automatique
  • G06N 7/01 - Modèles graphiques probabilistes, p.ex. réseaux probabilistes

94.

COMPUTER-READABLE RECORDING MEDIUM STORING POWER TRANSACTION PROGRAM, POWER TRANSACTION METHOD, AND POWER TRANSACTION APPARATUS

      
Numéro d'application 18336461
Statut En instance
Date de dépôt 2023-06-16
Date de la première publication 2024-03-21
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Kozakura, Fumihiko

Abrégé

A non-transitory computer-readable recording medium storing a power transaction program for causing a computer to execute processing of storing, in a blockchain, transaction information between a supply side and a demand side of power, the processing including: determining a supply amount by dividing a power resource on the supply side by aggregate period; determining a demand amount of a plurality of customers who demand the power resource on the demand side; determining a surplus power that is a difference between the supply amount and the demand amount; generating, by using zero-knowledge protocol, the transaction information based on the supply amount, the demand amount, to store generated transaction information in the blockchain.

Classes IPC  ?

  • H02J 3/14 - Circuits pour réseaux principaux ou de distribution, à courant alternatif pour règler la tension dans des réseaux à courant alternatif par changement d'une caractéristique de la charge du réseau par interruption, ou mise en circuit, des charges du réseau, p.ex. charge équilibrée progressivement

95.

EVALUATION METHOD AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18218603
Statut En instance
Date de dépôt 2023-07-06
Date de la première publication 2024-03-21
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • Ishikawa, Natsuki
  • Dan, Hayato
  • Okawa, Yoshihiro
  • Ogawa, Masatoshi

Abrégé

A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes obtaining a third matrix by changing at least one of a position of a target object already installed or a scale of the target object in a two-dimensional second matrix, obtaining three-dimensional second data by superimposing a two-dimensional first matrix and the third matrix, the first matrix being provided for each facility already installed and indicating a position and a scale thereof, and predicting a degree of influence of the target object by inputting the second data, a type of day of week, and time to a machine learning model trained with three-dimensional first data, a type of day of week, and time as input, and with a degree of influence of the target object as output, the first data being obtained by superimposing the first matrix and the second matrix.

Classes IPC  ?

  • H04W 16/18 - Outils de planification de réseau
  • H04W 24/02 - Dispositions pour optimiser l'état de fonctionnement

96.

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

      
Numéro d'application 18515778
Statut En instance
Date de dépôt 2023-11-21
Date de la première publication 2024-03-14
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s) Nishigaki, Masaki

Abrégé

An information processing program that causes a computer to execute a process including: acquiring use information that is use information for a database that includes incompatibility information that indicates a rewrite method in which source code dependent on first software is made compatible with second software and registrant information that indicates a registrant of the incompatibility information, and indicates a user of the incompatibility information and a use result of the incompatibility information; identifying a type of the use result indicated by the use information; and calculating an evaluation value to be given to at least one of the user indicated by the use information and the registrant indicated by the registrant information according to the identified type based on evaluation reference information that indicates a correspondence relationship between a plurality of types of use results and a plurality of evaluation values.

Classes IPC  ?

  • G06F 8/76 - Adaptation d’un code de programme pour fonctionner dans un environnement différent; Portage

97.

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

      
Numéro d'application 18516104
Statut En instance
Date de dépôt 2023-11-21
Date de la première publication 2024-03-14
Propriétaire FUJITSU LIMITED (Japon)
Inventeur(s)
  • Kataoka, Masahiro
  • Matsumura, Ryo
  • Nagaura, Ryohei

Abrégé

A medium storing a program including: classifying vectors of first sentences in a file into each similar vector; generating an inverted index associating a vector of each first sentence with a position of the first sentence on the file; identifying a feature sentence from a second sentences included in a second sentences; specifying similar vectors being vectors similar to a vector of the feature sentence based on the inverted index; specifying, for each similar vector, first transition data indicating transition of vectors at positions before and after the similar vector based on the inverted index; and specifying, from pieces of first transition data obtained by performing the specifying of the first transition data on the similar vectors, transition data similar to second transition data indicating transition of vectors of sentences before and after the feature sentence, to output the transition data as a response of the search query.

Classes IPC  ?

  • G06F 16/33 - Requêtes
  • G06F 40/289 - Analyse syntagmatique, p.ex. techniques d’états finis ou regroupement

98.

COMPUTING DEVICE, COMPUTING METHOD, AND INFORMATION PROCESSING DEVICE

      
Numéro d'application 18206163
Statut En instance
Date de dépôt 2023-06-06
Date de la première publication 2024-03-14
Propriétaire Fujitsu Limited (Japon)
Inventeur(s)
  • You, Chunye
  • Okazaki, Ryohei

Abrégé

A processor configured to store prediction information that is obtained from a call instruction that is fetched in a RAS fetch, acquire the prediction information that is used in a return instruction from the RAS fetch, delete the prediction information, store the prediction information in a RAS complete after completion of execution of the call instruction, and delete the prediction information from the RAS complete after completion of execution of the return instruction, and specify a first entry that is the closest to a top of the queue among the entries in which the branch instruction on which the branch prediction error is detected is re-executed, store and delete the prediction information in and from the RAS fetch according to the call instruction and the return instruction that are stored in entries closer to the top than the first entry is, and cause the first entry to be re-executes.

Classes IPC  ?

  • G06F 9/38 - Exécution simultanée d'instructions

99.

ERROR DETECTION METHOD AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18226785
Statut En instance
Date de dépôt 2023-07-27
Date de la première publication 2024-03-14
Propriétaire
  • Fujitsu Limited (Japon)
  • OSAKA UNIVERSITY (Japon)
Inventeur(s)
  • Fujisaki, Jun
  • Oshima, Hirotaka
  • Fujii, Keisuke

Abrégé

An information processing apparatus determines a combination of a first data qubit and a second data qubit that further reduces the energy represented by an energy equation. The energy equation includes first to third energy terms. The first energy term is used to identify the first data qubit on which a Z error has occurred. The second energy term is used to identify the second data qubit on which an X error has occurred. The third energy term reduces the energy as the number of data qubits each being a third data qubit on which both a Z error and an X error have simultaneously occurred increases. The information processing apparatus determines that a Y error has occurred on the third data qubit.

Classes IPC  ?

  • G06N 10/70 - Correction, détection ou prévention d’erreur quantique, p.ex. codes de surface ou distillation d’état magique
  • G06N 10/20 - Modèles d’informatique quantique, p.ex. circuits quantiques ou ordinateurs quantiques universels

100.

OPTIMIZATION METHOD AND INFORMATION PROCESSING APPARATUS

      
Numéro d'application 18337251
Statut En instance
Date de dépôt 2023-06-19
Date de la première publication 2024-03-14
Propriétaire Fujitsu Limited (Japon)
Inventeur(s) Iimura, Yoshinobu

Abrégé

An information processing apparatus calculates, based on result data indicative of a result value for a first demand quantity which arises for a first period, a first profit obtained by optimizing an operation quantity according to the result value, calculates a first prediction value for the first demand quantity by using a trained prediction model, determines, based on a comparison between the first profit and a second profit obtained by optimizing the operation quantity according to a second prediction value obtained by correcting the first prediction value with a correction model, the correction model, and calculates a third prediction value for a second demand quantity which arises for a second period different from the first period by using the prediction model and the correction model and outputs plan data indicative of the operation quantity optimized according to the third prediction value.

Classes IPC  ?

  • G06Q 10/0631 - Planification, affectation, distribution ou ordonnancement de ressources d’entreprises ou d’organisations
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