The function input means 71 accepts input of a cost function that calculates a cost incurred in at least one of a selection of a candidate relay point and a design of a route, the cost function being represented as a linear sum of terms weighted by degree of importance attached to each of the features that an expert is assumed to intend when selecting the candidate relay point and design of the route. The learning means 72 learns the cost function by inverse reinforcement learning using training data that includes relay point information which is data that maps information indicating a relay point with surrounding information of the relay point and usage information of the relay point, and route result information which is result data of a route that pass through each relay point.
To improve spatial resolution during measurement via LiDAR or the like, a ranging device comprises: at least one memory storing instructions; and at least one processor executing the instructions to measure the distance between a light-emitting device and an object on the basis of reflected light of a laser beam that is incident on a first beam diameter at a incidence position, adjust the beam diameter, of the laser beam on the incidence position, to a second beam diameter in accordance with the abovementioned distance, and generate sensing data pertaining to the object on the basis of reflected light corresponding to a laser beam that is incident on a second beam diameter at the incidence position. The at least one processor adjusts the beam diameter of the laser beam such that the second beam diameter at the incidence position is smaller than the first beam diameter.
FREE-SPACE OPTICAL COMMUNICATION CONTROL SYSTEM, FREE-SPACE OPTICAL COMMUNICATION CONTROL APPARATUS, AND FREE-SPACE OPTICAL COMMUNICATION CONTROL METHOD
A free-space optical communication control system includes at least one processor. The at least one processor carries out: a first detection process of detecting a change in a connection relationship between a first free-space optical communication apparatus and a second free-space optical communication apparatus adjacent to the first free-space optical communication apparatus; a second detection process of detecting a transition of work stages in accordance with the change in the connection relationship detected and plan information indicating a connection relationship between the first free-space optical communication apparatus and the second free-space optical communication apparatus in each of the work stages; and a connection control process of controlling, according to the transition of the work stages detected, which connection destination is connected to the first free-space optical communication apparatus.
In a recovery level estimation device, an image acquisition means acquires images in which eyes of a patient are captured. An eye movement feature extraction means extracts an eye movement feature which is a feature of an eye movement based on the images. A recovery level estimation means estimates a recovery level of the patient based on the eye movement feature by using a recovery level estimation model which has been learned by machine learning in advance.
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61B 3/113 - Appareils pour l'examen optique des yeux; Appareils pour l'examen clinique des yeux du type à mesure objective, c. à d. instruments pour l'examen des yeux indépendamment des perceptions ou des réactions du patient pour déterminer ou enregistrer le mouvement de l'œil
A61B 5/16 - Dispositifs pour la psychotechnie; Test des temps de réaction
5.
STORE MOBILE TERMINAL DEVICE, PAYMENT DEVICE, SYSTEM, METHOD, AND RECORDING MEDIUM
A reception unit receives an input of identification information of a store clerk. A product information acquisition unit acquires product information of a product that is purchased by a customer in accordance with the store clerk's operation. An output unit outputs settlement information for the product that includes the identification information of the store clerk, relates to payment based on the product information, and can be read by a settlement device. The settlement device reads the settlement information. The settlement device uses the read settlement information to settle the payment. The settlement device issues a receipt that includes the identification information of the store clerk included in the settlement information.
In order to easily select a change in setting content of a terminal apparatus on a terminal apparatus side, a first terminal apparatus acquires identification information of a second terminal apparatus and reference information which is referred to for changing a setting of the second terminal apparatus, and the first terminal apparatus transmits a setting change request to an external apparatus, the setting change request including the identification information of the second terminal apparatus and the reference information which have been acquired. Then, the second terminal apparatus receives, from the external apparatus, setting change content corresponding to the setting change request, and changes setting content of the second terminal apparatus based on the setting change content.
Please delete the Abstract of the Disclosure, and replace it with the following: Provided are a liquid crystal antenna capable of adapting a transmission/reception direction of a radio wave to 360° in a horizontal direction and reducing a size, a weight, and cost, and a method for manufacturing the liquid crystal antenna. A liquid crystal antenna of the present example embodiment includes a curved liquid crystal panel and is a phased array type, and the liquid crystal panel includes a liquid crystal layer and a plurality of antenna elements that transmit and receive signals having phases modulated by a variable dielectric constant element including the liquid crystal layer. The liquid crystal layer may be curved.
H01Q 1/40 - Eléments rayonnants recouverts avec, ou enrobés d'une matière protectrice
H01Q 1/24 - Supports; Moyens de montage par association structurale avec d'autres équipements ou objets avec appareil récepteur
H01Q 21/06 - Réseaux d'unités d'antennes, de même polarisation, excitées individuellement et espacées entre elles
H01Q 21/20 - Réseaux d'unités d'antennes, de même polarisation, excitées individuellement et espacées entre elles les unités étant espacées le long d'un trajet curviligne ou adjacent à celui-ci
8.
MEDICAL FACILITY MATCHING SYSTEM, MEDICAL FACILITY MATCHING METHOD, AND RECORDING MEDIUM
A medical facility matching system (1) comprises: a matching processing unit (121) performing matching processing to select as a matching result, a recommended medical facility for a patient based on patient item information (D12) corresponding to patient attribute items (Di12) and facility item information (D22) corresponding to facility attribute items (Di22); a data learning unit (122) learning about the patient attribute items for the matching processing so that the matching result is likely to be approved by the patient, and learning about the facility attribute items for the matching processing so that the matching result is likely to be approved by the medical facility selected; and a data item choosing unit (123) choosing based on a learning result, the patient attribute items and facility attribute items for the matching processing, wherein the matching processing is performed based on the chosen patient attribute items and the chosen facility attribute items.
G16H 40/20 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santé; TIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour la gestion ou l’administration de ressources ou d’établissements de soins de santé, p.ex. pour la gestion du personnel hospitalier ou de salles d’opération
9.
DETECTION DEVICE, DETECTION METHOD, AND PROGRAM RECORDING MEDIUM
In order to detect a detailed walking event in both legs on the basis of a physical quantity that relates to leg motion measured by a sensor mounted on one leg, there is provided a detection device including: an extraction unit for generating time-series data that accompany walking, using sensor data based on a physical quantity that relates to leg motion measured by a sensor installed on one leg part of a walking person, and extracting a walking waveform from the generated time-series data; and a detection unit for detecting a walking event in both legs of the walking person from the walking waveform extracted by the extraction unit.
An information processing apparatus (100) includes a display processing unit (102) that transmits information relating to a product to a terminal of a customer being present in a store, and causes the terminal to display the information on a screen, the screen includes a first region, and a second region demarcated from the first region, a product displayed in the first region of the screen is a specific product displayed in a specific location inside the store, and a product displayed in the second region of the screen is either a product being related to a type of the specific product displayed in the first region, or a product specified by the store or a trader.
an LEO satellite includes a light projecting element that emits emission light to another LEO satellite, an optical telescope, an optical phased array, a light receiving element that receives incident light from the other LEO satellite, a distance measurement unit that measures a distance to the other LEO satellite based on at least one of the emission light and the incident light, and a control unit. The control unit captures the other LEO satellites by scanning emission light using the optical telescope and receives incident light from the other LEO satellites for the other LEO satellites on the same orbital plane, and captures the other LEO satellites by scanning emission light using the optical phased array and receives incident light from the other LEO satellites for the other LEO satellites on different orbital planes.
In order to appropriately transmit a signal, based on presence or absence of a user device, a wireless device according to the present disclosure communicates with an intermediate device that duplicates or synthesizes and transmits a signal between a radio access network node communicating with the user device via the wireless device, and a plurality of the wireless devices, detects a PRACH signal transmitted from the user device, and performs transmission of a U-Plane signal to the radio access network node via the intermediate device, based on a detection result of the PRACH signal by a detection unit.
In order to enable a user to suitably set a search query, the present invention provides an image retrieval apparatus 10 including: an item value acceptance unit 11 accepting a user input specifying an item value of at least one item in a plurality of items included in a personal attribute; a selection unit 12 selecting a plurality of standard images related to the specified item value from among a plurality of images stored in a storage unit 16; a standard image acceptance unit 13 outputting a plurality of the standard images and accepting a user input specifying one standard image from among the standard images; a generation unit 14 generating a search query, based on a specification result of the standard image; and a retrieval unit 15 performing image retrieval by using the search query.
An information processing apparatus (2000) detects one or more candidate regions (22) from a captured image (20) based on an image feature of a target object. Each candidate region (22) is an image region that is estimated to represent the target object. The information processing apparatus (2000) detects a person region (26) from the captured image (20) and detects an estimation position (24) based on the detected person region (26). The person region (26) is a region that is estimated to represent a person. The estimation position (24) is a position in the captured image (20) where the target object is estimated to be present. Then, the information processing apparatus (2000) determines an object region (30), which is an image region representing the target object, based on each candidate region (22) and the estimation position (24).
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 40/10 - Corps d’êtres humains ou d’animaux, p.ex. occupants de véhicules automobiles ou piétons; Parties du corps, p.ex. mains
In response to receiving from a requesting entity (2) a request for a connection to an entity providing a service in an edge data network (4), a first server (7) attempts to identify a second server (5) located in the edge data network (7) based on at least one selection criterion. The at least one selection criterion includes a congestion state of a server located within the edge data network (4). If the second server (5) is identified, the first server (7) sends information about the second server (5) to the requesting entity (2). If the second server (5) cannot be identified, the first server (7) sends to the requesting entity (2) a rejection message indicating that the second server (5) cannot be identified. This can contribute, for example, to providing a suitable selection criterion for identifying an edge server.
A datacenter, a communication apparatus, a communication method, and a communication control method in a communication system are provided that can enhance the versatility of a datacenter and a virtual network constructed therein. A communication system includes: a plurality of wireless communication facilities owned by a plurality of network operators, respectively; and a datacenter in which a virtual core network is constructed, wherein the virtual core network implements mobile communication functions by using the plurality of wireless communication facilities.
H04W 92/14 - Interfaces entre des dispositifs formant réseau hiérarchiquement différents entre des contrôleurs de points d'accès et un dispositif formant réseau fédérateur
17.
INFORMATION PROCESSING APPARATUS, CLASSIFICATION METHOD, AND STORAGE MEDIUM
An information processing apparatus (1) includes: a data acquiring section (11) for acquiring target data, which is data to be classified into one of a plurality of categories; and a classifying section (12) for classifying the target data into one of the plurality of categories in accordance with a similarity between target relevant information relevant to the target data and category relevant information relevant to each of the plurality of categories, so that data is automatically classified without use of a classifier constructed by machine learning.
Disclosed are techniques for registering a user equipment (UE) to a new access and mobility management function (AMF). When a new access and mobility management function (AMF) determines that an old AMF is disjoint AMF i.e. they are not connected, then the new AMF fetches the UE context (5GMM and SGSM context) from the old AMF via new generation radio access network (NG-RAN). The new AMF routes a Namf_Communication_UEContextTransfer request message to the old AMF to fetch the UE contexts via NG-RAN. The old AMF sends the UE contexts in the Namf_Communication_UEContextTransfer response message to the new AMF via NG-RAN. Based on the context transfers between the new AMF and the old AMF, the UE is registered to the new AMF.
A communication device can achieve SN ratio and stability of signal output an optical transmission line having the propagation characteristics susceptible to environmental changes. The communication device includes: an optical reception section configured to receive weak signal light and reference light arriving through the optical transmission line; an optical amplifier that amplifies received reference light; a probe light receiver that receives probe light arriving from the transmitting-side communication device through the optical transmission line; and a controller configured to calculate a transmission line state detected based on received probe light and control a gain of the optical amplifier according to the transmission line state.
An illustrative transmitter can achieve improvement in SN ratio and stability of the signal output under control at the transmission side, even in the case of an optical transmission line having the propagation characteristics susceptible to environmental changes. The transmitter includes: an optical transmission section configured to generate weak signal light and reference light from a transmission light pulse, and transmit the signal light and the reference light to the optical transmission line; and a controller configured to modulate pulse intensity and pulse width of the transmission light pulse according to a transmission line state of probe light having propagated through the optical transmission line.
To improve accuracy of a result acquired by analyzing, by using a machine learning model, an image in which a road is captured, an information processing system 100 is an information processing system for collecting a machine learning image, and includes a generation unit 122 and a storage processing unit 123. The generation unit 122 processes an image in which a road is captured, and generates capturing situation information indicating a situation related to capturing of the image. The storage processing unit 123 performs processing for storing an image, based on the capturing situation information.
A drive support apparatus capable of performing vehicle control at an appropriate timing in accordance with an attribute of a person existing in surroundings of a vehicle is provided. A drive support apparatus according to the present disclosure includes: a detection unit configured to detect a person in an image of surroundings of a vehicle; a calculation unit configured to calculate a positional relation between the vehicle and the person based on the image; an estimation unit configured to estimate an attribute of the person based on the image, the attribute being related to likelihood of an accident; and a determination unit configured to determine a timing of a vehicle control based on the positional relation and the attribute.
B60W 30/09 - Entreprenant une action automatiquement pour éviter la collision, p.ex. en freinant ou tournant
B60W 30/095 - Prévision du trajet ou de la probabilité de collision
B60W 50/14 - Moyens d'information du conducteur, pour l'avertir ou provoquer son intervention
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 40/10 - Corps d’êtres humains ou d’animaux, p.ex. occupants de véhicules automobiles ou piétons; Parties du corps, p.ex. mains
23.
FLYING BODY IDENTIFICATION SYSTEM, CONTROL SYSTEM, FLYING BODY IDENTIFICATION METHOD, COMPUTER READABLE MEDIUM, AND FLYING BODY
A flying body identification system according to the present example embodiment includes: a flying body; a communication terminal configured to obtain an airframe ID of the flying body; and a control system configured to control an operation of the flying body. The control system is also configured to: manage the airframe ID and a plurality of pieces of information regarding the flying body indicated by the airframe ID so as to be associated with each other; select, in a case where an inquiry message containing the airframe ID and an authority level assigned to the communication terminal is received from the communication terminal, information to be transmitted to the communication terminal among the plurality of pieces of information regarding the flying body associated with the airframe ID in accordance with the authority level of the communication terminal; and transmit the selected information to the communication terminal.
An information processing system includes: an input unit that inputs a feature quantity; a transform unit that performs a discrete wavelet transform on the feature quantity; a decomposition unit that decomposes a result of the discrete wavelet transform into a first frequency component and a second frequency component; a first processing unit that performs a convolution process on the first frequency component; a second processing unit that performs a convolution process on the second frequency component; an integration unit that integrates a result of the convolution process for the first frequency component and a result of the convolution process for the second frequency component, thereby to generate an integrated information; and an output unit that outputs the integrated information.
A repeater device that can achieve signal transferring and path switching in optical transmission lines susceptible to environmental changes is provided. The repeater device receives weak signal light and normal reference light and transmits them in a communication network. The repeater includes: an optical route selector that selects an input-side spatial link connected to an upstream adjacent node and an output-side spatial link connected to a downstream adjacent node; a link state detector that detects a link state of at least one of the input-side spatial link and the output-side spatial link, wherein the link state is an attenuation rate or a transmission rate; and a controller that controls the optical route selector to select an optimal pair of output-side spatial link and input-side spatial link according to the link state.
An object is to provide an image accumulation apparatus, a method, and a non-transitory computer-readable medium capable of extracting a characteristic video based on an individual emotion. An image accumulation apparatus according to the present disclosure includes an image acquisition unit, an expression classification unit, and an image accumulation unit. The image acquisition unit acquires image data. The expression classification unit classifies face image data included in the image data into a predetermined emotion. The image acquisition unit accumulates the image data associated with emotion identifiers for identifying the classified emotions so that the image data is distributable to a terminal.
A disclosed information processing apparatus includes: a similarity calculation unit that, for each of a plurality of registration candidate data each including biometric information on a single person, calculates a similarity to test data including the biometric information on the person of interest; and a registration data selection unit that selects, as registration data to be registered in a data storage unit for matching the person of interest, registration candidate data whose similarity to the test data is ranked high out of the plurality of registration candidate data.
A terminal control system causes a wireless terminal to perform a switching process of switching a connection destination of the wireless terminal in accordance with the wireless terminal being located at such a position as to be capable of establishing connection both with a wireless base station and with a free-space optical communication apparatus, acquires weather information regarding an area in which the wireless terminal is located, and causes, in accordance with the weather information, the wireless terminal to stop the switching process of switching the connection destination of the wireless terminal from the wireless base station to the free-space optical communication apparatus.
A secure computation server apparatus in a secure computation system includes: a table storage part that stores a table of secret shares of the product of a first value and a second value for combinations of shares of possible values of the first value and shares of possible values of the second value; a table shuffle part that shuffles indices of possible values of the first value and indices of possible values of the second value in the table; a multiplication part that selects an element in the table whose indices in the shuffled table match the first and the second values; and a comparative verification part that accepts data that a majority of other secure computation server apparatuses agrees on as a correct value out of a plurality of data received from the other secure computation server apparatuses.
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
H04L 9/06 - Dispositions pour les communications secrètes ou protégées; Protocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p.ex. système DES
A person authentication support system (100) includes: a measurement condition acquisition unit (112) for acquiring a measurement condition of a depth in a measurement apparatus capable of generating image information indicating an image of a photographing region including a face of a target person, and depth information indicating a depth; a region setting unit (115) for setting a processing region being a region serving as a processing target of the depth information in the photographing region according to the measurement condition; a depth acquisition unit (116) for acquiring depth information including a depth in the processing region being measured in the measurement condition; and a collation determination unit (117) for determining whether image information of the target person is used in collation processing, based on depth information of the processing region.
A data acquisition means acquires source domain data and target domain data. An alignment means performs an alignment which converts the source domain data and the target domain data into images of a predetermined reference angle. A feature extraction means extracts local features of the source domain data and the target domain data. A classification means classifies a class based on the local features of the source domain data and the target domain data after the alignment. A learning means trains the feature extraction means based on the local features of the source domain data and the target domain data after the alignment and a classification result of the class.
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 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p.ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersections; Analyse de connectivité, p.ex. de composantes connectées
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 10/98 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos Évaluation de la qualité des motifs acquis
The video coding device calculates a first value representing energy of the prediction error signals of the block to be processed, eliminates specified transform coefficients when at least one of a width and a height of the block to be processed exceeds a predetermined value and calculates a second value representing energy of the transform coefficients other than the eliminated transform coefficients, and decides not to make the candidate of prediction mode the optimal prediction mode, without executing quantizing, arithmetic-coding and local decoding, in a case where the second value is smaller than a predetermined degree as compared to the first value.
H04N 19/18 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage adaptatif caractérisés par l’unité de codage, c. à d. la partie structurelle ou sémantique du signal vidéo étant l’objet ou le sujet du codage adaptatif l’unité étant un ensemble de coefficients de transformée
H04N 19/593 - Procédés ou dispositions pour le codage, le décodage, la compression ou la décompression de signaux vidéo numériques utilisant le codage prédictif mettant en œuvre des techniques de prédiction spatiale
33.
COMPUTER SYSTEM, PROCESSING METHOD, AND RECORDING MEDIUM
A computer system including: a memory configured to store instructions; and a processor configured to execute instructions to realize one service by combining services which are provided using a plurality of pods coupled via a control network which is a network for performing control and a data network which is a network for performing transmission and reception of data, wherein realizing the one service comprises adding a pod to an arbitrary smart resource as one part of the plurality of pods.
In a familiarity degree estimation apparatus, a first video process unit calculates a time while a hand being viewed, which is a time when a customer is viewing the hand. A second video process unit calculates a time while an item being held, which is a time when the customer is holding an item. A familiarity degree estimation unit calculates a time while the item being viewed based on the time while a hand being viewed and the time while the item being held, and estimates that the longer the time while the item being viewed, the lower the degree of familiarity of the customer with respect to the item.
A conveyance system (1) according to the present disclosure includes: a conveyance vehicle (10) that conveys an object based on a first traveling path; a sensor (20) that transmits information regarding a position of the conveyance vehicle (10) via a network; a communication unit (32) that can communicate with the conveyance vehicle (10) and the sensor (20); and a control unit (31) that controls the conveyance vehicle (10) via the communication unit (32). The control unit (31) determines a second traveling path based on the information regarding the position of the conveyance vehicle (10) and corrects a traveling trajectory of the conveyance vehicle (10) based on the first traveling path and the second traveling path.
A biometric authentication system (10) comprises a first imaging unit (11) that images a first image including a living body; a detecting unit (115) that detects a position of the living body in the first image; a second imaging unit (120) that images a second image including an authentication portion of the living body, based on the position of the living body in the first image; a calculating unit (140) that calculates an error between the first imaging unit and the second imaging unit based on the position of the living body in the first image and a position of the authentication portion in the second image; and an adjusting unit (150) that adjusts a set value relating to the second imaging unit, based on the error.
An estimation device 3X mainly includes a feature point estimation means 35X, a representative point candidate determination means 37X, and a representative point estimation means 38X. The feature point estimation means 35X estimates plural feature points relating to an object. The representative point candidate determination means 37X determines plural representative point candidates that are candidates of a representative point of the object based on the plural feature points. The representative point estimation means 38X estimates the representative point based on the plural representative point candidates.
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p.ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersections; Analyse de connectivité, p.ex. de composantes connectées
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p.ex. de visages similaires sur les réseaux sociaux
G06V 40/10 - Corps d’êtres humains ou d’animaux, p.ex. occupants de véhicules automobiles ou piétons; Parties du corps, p.ex. mains
38.
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
An information processing apparatus (10) includes: an image acquisition unit (12) that acquires a captured image of at least one of a user who visits a first shop and a vehicle used by the user; a user specifying unit (13) that specifies the user or the vehicle based on the captured image; a selection unit (15) that selects, as recommended sales promotion information, at least one piece of sales promotion information from pieces of sales promotion information related to a product or service dealing in the first shop, based on a usage history regarding the user or the vehicle at a plurality of shops; and an output control unit (16) that outputs the recommended sales promotion information.
A wind estimation apparatus includes an acquisition unit and an estimation unit. The acquisition unit acquires a target image of a target region. The estimation unit estimates at least one of a direction and strength of wind in the target region by using the target image.
G01P 5/00 - Mesure de la vitesse des fluides, p.ex. d'un courant atmosphérique; Mesure de la vitesse de corps, p.ex. navires, aéronefs, par rapport à des fluides
G01P 13/02 - Indication de la direction uniquement, p.ex. par une girouette
G05D 1/10 - Commande de la position ou du cap dans les trois dimensions simultanément
40.
INFORMATION PROCESSING APPARATUS AND STORAGE MEDIUM
In order to make it possible to correctly merge dissimilarly expressed character strings, an information processing apparatus (1) includes: a data acquisition section (11) that acquires a data set including a plurality of character string pairs in each of which whether or not character strings therein indicate the same object is known; and a conversion pattern decision section (12) that decides, based on results of trials to convert each of the plurality of character string pairs included in the data set, a conversion pattern that heightens accuracy in determining whether or not the character string pair included in the data set indicates the same object.
G06F 16/36 - Création d’outils sémantiques, p.ex. ontologie ou thésaurus
G06F 40/40 - Traitement ou traduction du langage naturel
41.
INFORMATION PROCESSING APPARATUS, FEATURE QUANTITY SELECTION METHOD, TRAINING DATA GENERATION METHOD, ESTIMATION MODEL GENERATION METHOD, STRESS LEVEL ESTIMATION METHOD, AND STORAGE MEDIUM
In order to improve a feature quantity selection method for machine learning of a stress level estimation model, an information processing apparatus (1) includes: a first selection section (11) that generates a feature set by selecting a feature quantity corresponding to each of a plurality of modalities from among a plurality of feature quantities; and a second selection section (12) that selects, based on a result of verifying estimation accuracy, a combination of feature quantities for use in the machine learning, the verification being carried out by applying combinations of feature quantities included in the feature set to the machine learning of the estimation model.
G16H 20/70 - 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 concernant des thérapies mentales, p.ex. la thérapie psychologique ou le training autogène
42.
ROAD SURVEILLANCE SYSTEM, ROAD SURVEILLANCE METHOD, AND NON-TRANSITORY STORAGE MEDIUM
To improve efficiency of road surveillance, a road surveillance system includes a detection unit 122 and a processing unit 134. The detection unit 122 detects a road state being a state of an object on a road by processing an image in which the road is captured. The processing unit 134 performs, when the road state satisfies a first criterion, any of notification processing of making a notification of the road state that satisfies the first criterion according to notification setting related to the notification, and change-related processing related to a change in the notification setting, based on whether a second criterion is satisfied. The second criterion is a criterion related to a determination result of whether the road state satisfies the first criterion.
A road surveillance system includes a video acquisition unit, a target determination unit, and a display control unit. The video acquisition unit acquires a video that captures a road. The target determination unit determines, based on a result of comparison between at least one frame image constituting the video and a reference image, and a first criterion, whether the at least one frame image is an analysis target. The display control unit causes a display unit to display information based on a result of the determination. The display control unit includes a first control unit and a second control unit. The first control unit causes the display unit to display an analysis result of at least one frame image being determined to be an analysis target. The second control unit causes the display unit to display detection information indicating that a frame image not being an analysis target is detected.
Methods and systems for training a model include distinguishing hidden states of a monitored system based on condition information. An encoder and decoder are generated for each respective hidden state using forward and backward autoencoder losses. A hybrid hidden state is determined for an input sequence based on the hidden states. The input sequence is reconstructed using the encoders and decoders and the hybrid hidden state. Parameters of the encoders and decoders are updated based on a reconstruction loss.
G06N 3/0442 - Réseaux récurrents, p.ex. réseaux de Hopfield caractérisés par la présence de mémoire ou de portes, p.ex. mémoire longue à court terme [LSTM] ou unités récurrentes à porte [GRU]
45.
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER READABLE RECORDING MEDIUM
The information processing apparatus acquires biological information of a passenger who has disembarked from an aircraft. The information processing apparatus acquires flight information corresponding to the acquired biological information from a storage device in which the biological information of the passenger and the flight information of the passenger are stored in association with each other. Then, the information processing apparatus determines, based on the acquired flight information, whether the passenger is a passenger who is to re-board an aircraft after disembarking from the aircraft. The information processing apparatus displays information according to the determination result on display devices.
A camera calibration apparatus (10) according to the present disclosure includes a skeleton detection unit (11) for detecting a two-dimensional skeletal structure of a person based on a two-dimensional image captured by a camera, a vector calculation unit (12) for calculating a skeleton vector indicating a direction and a size of a skeleton of the person in the two-dimensional image based on the two-dimensional skeletal structure detected by the skeleton detection unit (11), and a parameter calculation unit (13) for calculating a camera parameter of the camera based on the skeleton vector calculated by the vector calculation unit (12).
In a recovery level estimation device, an image acquisition means acquires images in which eyes of a patient are captured. An eye movement feature extraction means extracts an eye movement feature which is a feature of an eye movement based on the images. A recovery level estimation means estimates a recovery level of the patient based on the eye movement feature by using a recovery level estimation model which has been learned by machine learning in advance.
A61B 5/00 - Mesure servant à établir un diagnostic ; Identification des individus
A61B 3/113 - Appareils pour l'examen optique des yeux; Appareils pour l'examen clinique des yeux du type à mesure objective, c. à d. instruments pour l'examen des yeux indépendamment des perceptions ou des réactions du patient pour déterminer ou enregistrer le mouvement de l'œil
A61B 5/16 - Dispositifs pour la psychotechnie; Test des temps de réaction
48.
WAITING TIME PREDICTION SYSTEM, WAITING TIME PREDICTION METHOD, AND NON-TRANSITORY STORAGE MEDIUM
To more accurately compute a waiting time until an ordered product is received and a service is received, the present invention provides a waiting time prediction system 10 including an image acquisition unit 11 that acquires an image in which a workspace of a worker in a store that provides a product or a service is captured; a work process determination unit 12 that determines which work process is performed by the worker at a point in time at which the image is captured, based on the image; and a waiting time computation unit 13 that computes a waiting time until a product or a service in the store is provided, based on a determination result of the work process.
G06Q 10/0637 - Gestion ou analyse stratégiques, p. ex. définition d’un objectif ou d’une cible pour une organisation; Planification des actions en fonction des objectifs; Analyse ou évaluation de l’efficacité des objectifs
G06Q 10/0639 - Analyse des performances des employés; Analyse des performances des opérations d’une entreprise ou d’une organisation
49.
INFORMATION TRANSACTION SYSTEM, INFORMATION TRANSACTION DEVICE, INFORMATION TRANSACTION METHOD, AND PROGRAM
An information transaction device stores catalog information including detailed information related to one or more datasets including personal information providable to an information provision destination device from an information provision source device. The information transaction device receives a provision request for the dataset from the information provision destination device. The information transaction device outputs a transmission request for the dataset indicated by the provision request to the information provision source device.
A base station, a method for a base station, and a program capable of appropriately selecting radio terminals for which spatial multiplexing is performed and an MCS, and thereby increasing throughput in multi-user MIMO are provided. A base station 11 according to the present disclosure includes: a correction parameter storage unit 1141 configured to store a plurality of correction parameters for each of a plurality of radio terminals 12, the plurality of correction parameters being provided for each of the radio terminals 12; a correction parameter selection unit 1131 configured to select a predetermined correction parameter from among the plurality of correction parameters based on a combination of radio terminals 12 that are spatially multiplexed in the same radio resource; a correction value calculation unit 1132 configured to calculate a correction value of the radio terminal 12 based on the predetermined correction parameter.
An apparatus includes memory and processor configured to: input, from a sensor, a signal indicating a characteristic vibration occurring at each position of an optical fiber, and estimate, based on the input signal, an aerial section in which the optical fiber being aerially laid over a pole is present; calculate, based on the input signal, sensing data indicating a vibration characteristic of each position of the optical fiber being present in the aerial section, and calculate a difference degree of the sensing data between two neighboring points of the optical fiber; and temporally integrate the difference degree, calculate a time average of the difference degree, estimate, based on a time average value of the difference degree, a position of the pole and a position of an extra length section of the optical fiber, and output an estimation result of positions of the pole and the extra length section.
G01H 9/00 - Mesure des vibrations mécaniques ou des ondes ultrasonores, sonores ou infrasonores en utilisant des moyens sensibles aux radiations, p.ex. des moyens optiques
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
52.
IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM
In the present invention, master image data is used to improve precision for correcting target image data. A generation unit (11) performs an affine transformation on the target image data, thereby generating a transformation image group including a plurality of transformation image data; a calculation unit (12) calculates a correlation value between transformation image data included in the transformation image group, and preregistered master image data; a selection unit (13) selects the transformation image data having the greatest correlation value from among the transformation image data included in the transformation image group; and a correction unit (14) corrects the selected transformation image data on the basis of the positional displacement between an object shown in the master image data and the object shown in the selected transformation image data.
G06T 7/32 - Détermination des paramètres de transformation pour l'alignement des images, c. à d. recalage des images utilisant des procédés basés sur la corrélation
G06T 3/00 - Transformation géométrique de l'image dans le plan de l'image
53.
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
An information processing apparatus includes a registration unit, an acquisition unit, an authentication control unit, and a gate control unit. The registration unit registers first appearance information for registration in association with face information for registration for each registration target person, and updates the first appearance information. The acquisition unit acquires captured image data obtained by imaging an authentication target person. The authentication control unit performs personal authentication of the authentication target person based on a first and a second determination result. The first determination result indicates whether or not face information based on the captured image data corresponds to the face information for registration. The second determination result indicates whether or not first appearance information based on the captured image data corresponds to the first appearance information for registration. In a case where the personal authentication has succeeded, the gate control unit permits passage through a gate.
Provided is an analysis apparatus or the like capable of appropriately determining emotions of a learner or an examinee in online learning or an online examination. An analysis apparatus includes: an emotion data acquisition unit that acquires emotion data regarding learning of each learner, the emotion data being obtained by performing emotion analysis on face image data of a plurality of learners in online learning; and an analysis data generation unit that aggregates emotion data regarding the plurality of learners, compares the emotion data of the plurality of learners, and generates analysis data in which the emotion data of one or more learners is identified.
In an aspect, there is provided method for cancelling anonymization for an area including a target in an input image, the input image including a plurality of identified subjects, the method comprising: retrieving historical images in which the target has appeared in; identifying an area by comparing the input image and the retrieved historical images to determine if the target has interacted with at least one of the identified subjects; and cancelling anonymization for the area including the target.
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
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
56.
METHOD AND SERVER APPARATUS FOR ADAPTIVELY UPDATING A TARGET SUBJECT IDENTIFICATION STORED IN A DATABASE
Present disclosure provides a method and a server for adaptively updating a target subject identification to be stored in a database, the target subject identification pertaining to a target subject in a system comprising a plurality of servers, the server configured to: receive target subject information; assign a first target subject identification to the target subject information and store the first target subject identification in a first database of the server; and send a request, to the plurality of servers, to synchronize the target subject identification, the request including the target subject information relating to the target subject.
G06V 40/50 - Traitement de données biométriques ou leur maintenance
G06V 10/74 - Appariement de motifs d’image ou de vidéo; Mesures de proximité dans les espaces de caractéristiques
G06V 10/94 - Architectures logicielles ou matérielles spécialement adaptées à la compréhension d’images ou de vidéos
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
H04L 67/1097 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau pour le stockage distribué de données dans des réseaux, p.ex. dispositions de transport pour le système de fichiers réseau [NFS], réseaux de stockage [SAN] ou stockage en réseau [NAS]
57.
WORK TYPE IDENTIFICATION APPARATUS, CONTROL METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
A work type identification apparatus (2000) acquires, for a target region (12) of a target object (10) on which a wiping work is to be performed, a temperature data sequence (40) indicating a time variation of a temperature of the target region (12). The work type identification apparatus (2000) determines a type of wiping work performed on the target region (12) based on the time variation of the temperature of the target region (12) indicated by the temperature data sequence (40).
A61L 2/24 - Appareils utilisant des opérations programmées ou automatiques
A61L 2/18 - Procédés ou appareils de désinfection ou de stérilisation de matériaux ou d'objets autres que les denrées alimentaires ou les lentilles de contact; Accessoires à cet effet utilisant des substances chimiques des substances liquides
B08B 1/00 - Nettoyage par des procédés impliquant l'utilisation d'outils, de brosses ou d'éléments analogues
B08B 3/08 - Nettoyage impliquant le contact avec un liquide le liquide ayant un effet chimique ou dissolvant
G06F 3/14 - Sortie numérique vers un dispositif de visualisation
58.
BIOMETRIC AUTHENTICATION SYSTEM, TEMPLATE UPDATING METHOD THEREFOR, STORAGE MEDIUM, BIOMETRIC AUTHENTICATION CLIENT DEVICE, AND BIOMETRIC AUTHENTICATION SERVER DEVICE
A conventional biometric authentication system has been time-consuming and labor-intensive for users since the users are requested to re-register their biometric information. According to an aspect of the present disclosure, a biometric authentication system includes an update value generation unit configured to generate an update value, a first update processing unit configured to update, using the update value, a template generated based on biometric information, and a second update processing unit configured to update, using the update value, a verification key generated along with the template based on the biometric information using the update value.
An information processing apparatus includes: a generation unit that, for at least one of a plurality of sites, generates estimation information indicating estimated ability of the site by using ability information of an employee at the site and equipment information about equipment at the site; and an output processing unit that generates advice information to a manager of the site by using the estimation information and request information indicating ability requested with regard to the site and causes an output apparatus to output the generated advice information.
A vehicle-mounted apparatus (10) according to the present invention includes: a surrounding object information acquisition unit (11) that acquires surrounding object information relating to a surrounding object being an object detected in surroundings of a vehicle; a line-of-sight information acquisition unit (12) that acquires line-of-sight information of a driver of the vehicle; an operation information acquisition unit (13) that acquires operation information indicating an operation performed by the driver on the vehicle; an operation intention information generation unit (14) that generates operation intention information associating an operation indicated by the operation information with the surrounding object causing the operation indicated by the operation information, based on the surrounding object information, the line-of-sight information, and the operation information; and a transmission and reception unit (15) that transmits the operation intention information to a surrounding vehicle.
B60W 50/14 - Moyens d'information du conducteur, pour l'avertir ou provoquer son intervention
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 20/59 - Contexte ou environnement de l’image à l’intérieur d’un véhicule, p.ex. concernant l’occupation des sièges, l’état du conducteur ou les conditions de l’éclairage intérieur
61.
LEARNING SYSTEM, LEARNING METHOD, AND RECORDING MEDIUM
A learning system includes: an acquisition unit that obtains document data; a generation unit that generates a key phrase from the document data; a restoration unit that restores the document data from the generated key phrase; and a learning unit that learns parameters of the generation unit on the basis of the document data and the restored document data. According to such a learning system, high-precision learning can be performed even when there is no key phrase as a correct answer.
A light-receiving device that includes a condenser lens that condenses a spatial optical signal, a beam control element that emits an optical signal derived from the spatial optical signal condensed by the condenser lens toward a predetermined region, and a light-receiving element that is disposed with a light-receiving portion facing the predetermined region and receives the optical signal.
H01L 31/0232 - 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 - Détails Éléments ou dispositions optiques associés au dispositif
H04B 10/112 - Transmission dans la ligne de visée sur une distance étendue
H04B 10/67 - Dispositions optiques dans le récepteur
A network node apparatus (SMF) responsible for a Session Management Function (SMF) in a core network includes: an obtaining unit configured to obtain network function information including information elements respectively related to network slices supported by the SMF; and a first communication processing unit configured to transmit the network function information to a network node apparatus responsible for a Network Repository Function (NRF) in the core network. The information elements respectively related to the network slices supported by the SMF have been aggregated within the network function information according to a predetermined rule.
H04L 41/0895 - Configuration de réseaux ou d’éléments virtualisés, p.ex. fonction réseau virtualisée ou des éléments du protocole OpenFlow
H04L 41/0823 - Réglages de configuration caractérisés par les objectifs d’un changement de paramètres, p.ex. l’optimisation de la configuration pour améliorer la fiabilité
64.
OBJECT DETECTION DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
In the object detection device, the plurality of object detection units output a score indicating a probability that a predetermined object exists, for each partial region set with respect to image data inputted. The weight computation unit computes a weight for each of the plurality of object detection units by using weight computation parameters and based on the image data. The weights are used when the scores outputted by the plurality of object detection units are merged. The weight redistribution unit changes the weight for a predetermined object detection unit, among the weights computed by the weight computation unit, to 0 and output the weights. The merging unit merges the scores outputted by the plurality of object detection units for each of the partial regions, by using the weights computed by the weight computation unit and including the weight changed by the weight redistribution unit. The loss computation unit computes a difference between a ground truth label of the image data and the merged score merged by the merging unit as a loss. Then, the parameter correction unit corrects the weight computation parameters so as to reduce the loss.
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
65.
VERIFICATION SYSTEM, VERIFICATION METHOD, AND VERIFICATION PROGRAM
The surrogate model construction means 81 constructs a surrogate model that simulates behavior of an analysis target, using operation data of the analysis target as training data. The surrogate model selection means 82 selects the surrogate model that is judged to best reproduce the behavior of the analysis target by the operation data according to verification contents, under specified condition, from the operation data of the analysis target. The verification means 83 verifies the analysis target using the selected surrogate model.
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
66.
FIBER SENSING BY MONITORING POLARIZATION FUNCTION OF LIGHT ON SUPERVISORY PATH OF CABLES
An advance in the art is made according to aspects of the present disclosure directed to methods for earthquake sensing that employ a supervisory system of undersea fiber optic cables. Earthquakes and other environmental disturbances are detected by monitoring the polarization of interrogation light instead of its phase. More specifically, our methods monitor the transfer matrix rather than just polarization and isolate disturbance location by monitoring eigenvalues of the polarization transfer matrix. From results obtained we have demonstrated experimentally that we can monitor disturbances that affect signal polarization on a span-by-span basis using High Loss Loop Back (HLLB) paths. It is shown that by measuring the polarization rotation matrix and determining the polarization rotation angle we can identify the span where the disturbance occurred with 35 dB extinction with no limitation on the magnitude of the disturbance and the number of affected spans.
In a focus determination device, an acquisition acquires an iris image including an iris of a user. A filter processing unit performs a filter processing by applying an image processing filter in a shape decided based on a shape of a light applied to the user to the iris image. A focus determination unit determines whether or not the iris image is in focus based on the iris image resulting from the filter processing.
G06V 10/98 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos Évaluation de la qualité des motifs acquis
G06V 10/60 - Extraction de caractéristiques d’images ou de vidéos relative aux propriétés luminescentes, p.ex. utilisant un modèle de réflectance ou d’éclairage
G06V 40/18 - Caractéristiques de l’œil, p.ex. de l’iris
To enable selection of useful vector sequence a1,a2, . . . ,aT in a bandit linear optimization algorithm for which a fixed strategy is ineffective, an information processing apparatus (1) includes a vector selection unit (11) that selects a vector at in each round t∈[T] (T is any natural number) from a subset A of a d-dimensional vector space Rd (d is any natural number). The vector selection unit (11) uses l1,l2, . . . ,lT∈Rd as loss vectors to select the vector at in each round t such that an asymptotic behavior of an expected value of tracking regret R(u)=Σt∈[T]ltTat−Σt∈[T]ltTut with respect to any comparative vector sequence u1,u2, . . . ,uT∈A or an asymptotic behavior ignoring logarithmic factors of the expected value of the tracking regret R(u) is constrained from above by a preset function A(d,T,P), where P is a natural number not less than 1 given by P=|{t∈[T−1]|ut≠ut+1}|.
G06F 7/76 - Dispositions pour le réagencement, la permutation ou la sélection de données selon des règles prédéterminées, indépendamment du contenu des données
A filter according to the present disclosure includes input means for inputting a first polarization signal and a second polarization signal that are input from an antenna. The filter includes output means for outputting a first output signal corresponding to the first polarization signal and a second output signal corresponding to the second polarization signal, the first and the second output signals having been subjected to filter processing for making a desired frequency electric signal of each of the first and the second polarization signals pass through the first and the second output signals, respectively. The filter includes a resonator group that excites a first excitation mode and a second excitation mode perpendicular to each other by the input first and second polarization signals, whereby the output means outputs the first and the second output signals corresponding to the first and second polarization signals, respectively.
A method is presented in which a central unit (5-2b) of a split base station apparatus in a cellular communication system sends, to a distributed unit (5-2a) of the split base station apparatus, a first message comprising an information element for configuring the distributed unit (5-2a) of the split base station apparatus serving a UE (3) to report current measurement data representative of communication quality measurements. The central unit (5-2b) receives, from the distributed unit (5-2a) of the split base station apparatus, in a second message sent in response to the first message, communication quality measurements for the cell and/or beam currently serving the UE (3) under control of the distributed unit (5-2a) of the split base station apparatus.
A communication system (1) includes a plurality of communication apparatuses (10) and a control apparatus (20), the control apparatus (20) including a control unit (21), the control unit (21) including: a management unit (22) that manages the number of established connections for each of the plurality of communication apparatuses (10); and an instruction unit (23) that instructs, in a case where at least one connection included in the established connections has been broken, the at least one communication apparatus (10) involved in the at least one broken connection to reestablish the at least one broken connection.
A communication system (1) includes a plurality of communication apparatuses (10) and a control apparatus (20), the plurality of communication apparatuses (10) each including: a communication means that is configured to be capable of transmitting and receiving directional communication media; a specification means that specifies at least one connection destination candidate by carrying out scanning with use of the communication means; and a connection establishment means that establishes connection with the at least one connection destination candidate specified by the specification means, and the control apparatus (20) including a control means that controls a meshed network composed of the plurality of communication apparatuses (10) connecting to each other.
A free space optical communication device includes: a plurality of light transmitting/receiving sections; and at least one processor configured to execute: a communication control process of controlling communication which is to be carried out via the plurality of light transmitting/receiving sections, in the communication control process, the at least one processor (a) determining a required communication capacity for the communication and (b) controlling, on the basis of the required communication capacity, the number of light transmitting/receiving sections to be used for the communication.
H04B 10/112 - Transmission dans la ligne de visée sur une distance étendue
H04B 10/077 - 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 un signal de surveillance ou un signal supplémentaire
74.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
An information processing device includes an extraction unit that extracts a core line from an image containing dermatoglyphic pattern; an identification unit that identifies an evaluation value indicating possibility of the dermatoglyphic pattern of the core line; and a correction unit that corrects the image based on the evaluation value.
The purpose of this invention is to provide a building change detection device, and the like, that make it possible to easily compare a three-dimensional model of a building corresponding to individual points in time and a model of the building based on reference information. A building change detection device comprises a measurement data acquisition means for acquiring measurement data indicating the results of measurement based on emitted laser light emitted onto a region under measurement including a building and reflected laser light, a building model generation means for using the measurement data to generate a building model that is a three-dimensional point-cloud model of the building, a building reference model acquisition means for acquiring a building reference model, and a display control means for carrying out control for displaying a first image including the building reference model and the building model.
A route generation system includes a diagnosis unit, a generation unit, and an output unit. The diagnosis unit performs a diagnosis to estimate a deterioration degree of a road surface from an image to be monitored. The generation unit generates a travel route based on the deterioration degree of the road surface for each point diagnosed by the diagnosis unit and information regarding a road environment affecting the diagnosis for each point, the travel route being generated for capturing another image used for another diagnosis. The output unit outputs the generated travel route.
A branching device to be used for branching a power supply path connecting a first trunk station and a second trunk station to a branch station, the branching device including: a first power reception port being connected with a first power supply path connected to the first trunk station; a second power reception port being connected with a second power supply path connected to the second trunk station; a third power reception port being connected with a third power supply path connected to the branch station; and a power supply unit configured to supply, via the third power reception port, power to the third power supply path by power supply from at least either of the first power supply path and the second power supply path.
The disclosure provides an authentication system (10) including: an acquisition unit (11) that acquires a processing target image including a face of a user; a per-part evaluation unit (13) that evaluates a change for each part of a face, based on a registration image being preregistered and the processing target image; a verification unit (12) that performs face verification processing, based on the registration image and the processing target image; and a notification unit (14) that notifies a notification target person of an evaluation result of a change for each part of a face when a verification score of the face verification processing satisfies a predetermined condition.
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
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
Embodiments of the present disclosure relate to methods, devices and computer storage media for communication. A method comprises receiving, at a terminal device, at least one configuration about a first control resource set (CORESET) and a second CORESET, wherein the at least one configuration indicates that the first CORESET is associated with a first set of reference signals (RSs) for beam failure detection (BFD), and the second CORESET is associated with the first set of RSs or a second set of RSs for BFD; and monitoring at least one PDCCH candidate based on detection of a beam failure with assessing radio link quality over at least one of the first set of RSs and the second set of RSs. As such, some meaningless blind detection for PDCCH can be avoided, so as to increase the efficiency of PDCCH detection.
Systems and method for training a shared machine learning (ML) model. A method includes generating, by a first entity, a data transformation function; sharing, by the first entity, the data transformation function with one or more second entities; creating a first private dataset, by the first entity, by applying the data transformation function to a first dataset of the first entity; receiving one or more second private datasets, by the first entity, from the one or more second entities, each second private dataset having been created by applying the data transformation function to a second dataset of the second entity; and training a machine learning (ML) model using the first private dataset and the one or more second private datasets to produce a trained ML model.
G06F 18/2135 - Extraction de caractéristiques, p.ex. en transformant l'espace des caractéristiques; Synthétisations; Mappages, p.ex. procédés de sous-espace basée sur des critères d'approximation, p.ex. analyse en composantes principales
G06F 18/214 - Génération de motifs d'entraînement; Procédés de Bootstrapping, p.ex. ”bagging” ou ”boosting”
G06F 21/62 - Protection de l’accès à des données via une plate-forme, p.ex. par clés ou règles de contrôle de l’accès
81.
MONITORING SYSTEM, MONITORING METHOD, AND MONITORING PROGRAM
An abnormality behind a shielding object is discovered. There is provided a monitoring system including a video acquirer, a detector, and a notifier. The video acquirer of the monitoring system acquires a video. The detector of the monitoring system detects entering of a target object into a blind spot generated by a shielding object in the video and appearance of the target object from the blind spot. If the target object does not appear from the blind spot even after a first time elapses since entering of the target object into the blind spot, the notifier of the monitoring system makes a notification.
H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c. à d. systèmes dans lesquels le signal vidéo n'est pas diffusé
G01P 3/38 - Dispositifs caractérisés par l'emploi de moyens optiques, p.ex. en utilisant la lumière infrarouge, visible ou ultraviolette en utilisant des moyens photographiques
G06T 7/246 - Analyse du mouvement utilisant des procédés basés sur les caractéristiques, p.ex. le suivi des coins ou des segments
G08B 13/196 - Déclenchement influencé par la chaleur, la lumière, ou les radiations de longueur d'onde plus courte; Déclenchement par introduction de sources de chaleur, de lumière, ou de radiations de longueur d'onde plus courte utilisant des systèmes détecteurs de radiations passifs utilisant des systèmes de balayage et de comparaison d'image utilisant des caméras de télévision
82.
USPICIOUS AIRCRAFT COUNTERMEASURE DEVICE, SUSPICIOUS AIRCRAFT COUNTERMEASURE METHOD, AND RECORDING MEDIUM
In order to deal with suspicious aircraft, which are unmanned aircraft that are not authorized to fly in a surveillance airspace, while preventing adverse effects on authorized aircraft, which are unmanned aircraft that are authorized to fly in the surveillance airspace, this device for dealing with suspicious aircraft includes a detection unit and an instruction unit. The detection unit detects the intrusion of a suspicious aircraft into the surveillance airspace. When the intrusion of a suspicious aircraft into the surveillance airspace is detected, the instruction unit outputs an evacuation command to evacuate the authorized aircraft from an area where the suspicious aircraft is dealt with, containing the suspicious aircraft. The instruction unit also outputs a command to deal with the suspicious aircraft in the surveillance airspace after the authorized aircraft has evacuated from the area where the suspicious aircraft is dealt with.
A video processing system (10) includes: an image acquisition unit (11) that acquires at least one frame image included in video data; a skeleton information generation unit (13) that generates skeleton information based on a body region of a person included in the at least one frame image; a behavior conversion unit (14) that converts the skeleton information into a behavior ID; a person specifying unit (18) that specifies, based on a facial region of the person included in the at least one frame image, a person ID for identifying features of a person estimated to be an identical person; and a registration unit (20) that registers the behavior ID, the person ID, and scene-related information related to the at least one frame image in a database in association with each other.
G06V 40/16 - Visages humains, p.ex. parties du visage, croquis ou expressions
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p.ex. de visages similaires sur les réseaux sociaux
G06V 40/50 - Traitement de données biométriques ou leur maintenance
84.
OPTIMIZATION APPARATUS, OPTIMIZATION METHOD AND NON-TRANSITORY COMPUTER-READABLE MEDIUM STORING OPTIMIZATION PROGRAM
A purpose of the present invention is to achieve highly accurate optimization for a submodular function when a policy is optimized without preparing data for machine learning. An optimization apparatus (100) according to the present invention includes a determination unit (110) that determines one or more execution policies from a predetermined policy in an objective function having diminishing marginal utility and convexity, a reward acquisition unit (120) that acquires reward, which is an execution result in the objective function for the determined execution policy, a calculation unit (130) that calculates an update rate of the policy based on the reward, and an update unit (140) that updates the policy based on the update rate.
G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
85.
AREA DETERMINATION APPARATUS, CONTROL METHOD, COMPUTER READABLE MEDIUM, MONITORING SYSTEM, MONITORING METHOD
An area determination apparatus (2000) acquires three-dimensional facility data (20). The three-dimensional facility data (20) is three-dimensional data of a target facility including a plurality of segments. The area determination apparatus (2000) determines a designated segment, which is a segment designated in an input screen (10) including an image of the target facility. The area determination apparatus (2000) determines, as a monitoring area or a non-monitoring area, a three-dimensional area that is determined based on three-dimensional segment data (22) of the designated segment.
G08B 25/00 - Systèmes d'alarme dans lesquels l'emplacement du lieu où existe la condition déclenchant l'alarme est signalé à une station centrale, p.ex. systèmes télégraphiques d'incendie ou de police
86.
CREDIT ASSISTANCE SYSTEM, CREDIT ASSISTANCE METHOD, AND PROGRAM RECORDING MEDIUM
A credit assistance system is configured to include an extraction unit and an output unit. The extraction unit extracts a second company, financial indicators of which at a second point in time coincide with financial indicators of a first company at a first point in time later than the second point in time under prescribed conditions. The output unit outputs actual data of the financial status of the second company after the second point in time.
A server apparatus includes: an instructing unit that prompts a reporting device to transmit information showing a situation of a site where an event to be reported has occurred, upon receipt of a call from the reporting device; an assistance information transmitting unit that transmits assistance information for assisting a caller operating the reporting device, to the reporting device; and an acquiring unit that acquires the information showing the situation of the site from the reporting device.
H04M 11/04 - Systèmes de communication téléphonique spécialement adaptés pour être combinés avec d'autres systèmes électriques avec systèmes d’alarme, p.ex. systèmes d’alarme d'incendie, de police ou systèmes antivol
G08B 25/10 - Systèmes d'alarme dans lesquels l'emplacement du lieu où existe la condition déclenchant l'alarme est signalé à une station centrale, p.ex. systèmes télégraphiques d'incendie ou de police caractérisés par le moyen de transmission utilisant des systèmes de transmission sans fil
88.
OPTICAL SENSING SYSTEM, OPTICAL SENSING DEVICE, AND OPTICAL SENSING METHOD
The optical sensing system includes a three-dimensional scanner and an intensity determination means. The three-dimensional scanner scans a measurement target with a laser light and receives reflected light of the laser light to generate distance data indicating a distance to the measurement target and luminance data indicating luminance of the reflected light. The intensity determination means dynamically determines intensity of the laser light based on the distance data so as to suppress a change in luminance of the reflected light caused by a length of the distance during the scanning of the three-dimensional scanner.
A calibration method includes: imaging a member having a predetermined design in which a pattern varies depending on a position on a member surface and a marker disposed at a predetermined position, with at least two cameras; and performing calibration of the at least two cameras by using an image of the member captured by the at least two cameras. According to this calibration method, it is possible to reduce a “deviation” that occurs in a plurality of cameras in a relatively easy manner.
To provide a roadside communication device that can transfer, to an appropriate vehicle, information from another vehicle; a roadside communication method; and a recording medium,
To provide a roadside communication device that can transfer, to an appropriate vehicle, information from another vehicle; a roadside communication method; and a recording medium,
this roadside communication device comprises: a reception unit that receives a first wireless signal from a first moving body; a determination unit that determines a notification target range on the basis of at least one among the traffic properties of a road where the first moving body is located, the environmental state of the road, and the attributes of information included in the first wireless signal; and a transmission unit that transmits a second wireless signal including said information to a wireless terminal within the notification target range.
Provided is a technique that specifies (a) a part actually having an abnormal change in surface or (b) a region including the part. The device includes at least one processor configured to: extract, on the basis of a reflection signal generated in response to a signal that one of a plurality of emitting sections included in a distance measuring device has emitted to a subject, a part of a surface of the subject which part has an abnormal change, the extracting being carried out for each of the plurality of emitting sections; and specify a region of the surface, the region including parts of the surface which parts have been extracted in relation to two or more of the plurality of emitting sections.
G01S 17/89 - Systèmes lidar, spécialement adaptés pour des applications spécifiques pour la cartographie ou l'imagerie
G01S 7/48 - DÉTERMINATION DE LA DIRECTION PAR RADIO; RADIO-NAVIGATION; DÉTERMINATION DE LA DISTANCE OU DE LA VITESSE EN UTILISANT DES ONDES RADIO; LOCALISATION OU DÉTECTION DE LA PRÉSENCE EN UTILISANT LA RÉFLEXION OU LA RERADIATION D'ONDES RADIO; DISPOSITIONS ANALOGUES UTILISANT D'AUTRES ONDES - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe
G01S 7/4911 - DÉTERMINATION DE LA DIRECTION PAR RADIO; RADIO-NAVIGATION; DÉTERMINATION DE LA DISTANCE OU DE LA VITESSE EN UTILISANT DES ONDES RADIO; LOCALISATION OU DÉTECTION DE LA PRÉSENCE EN UTILISANT LA RÉFLEXION OU LA RERADIATION D'ONDES RADIO; DISPOSITIONS ANALOGUES UTILISANT D'AUTRES ONDES - Détails des systèmes correspondant aux groupes , , de systèmes selon le groupe - Détails des systèmes non pulsés Émetteurs
G01S 7/4914 - Réseaux des détecteurs, p.ex. portes de transfert de charge
G01S 17/08 - Systèmes déterminant les données relatives à la position d'une cible pour mesurer la distance uniquement
92.
FREE-SPACE OPTICAL COMMUNICATION CONTROL SYSTEM, FREE-SPACE OPTICAL COMMUNICATION CONTROL APPARATUS, AND FREE-SPACE OPTICAL COMMUNICATION CONTROL METHOD
A free-space optical communication control system includes at least one processor. The at least one processor carries out: an interruption estimation process of estimating an interruption of free-space optical communication over a free-space optical communication network in accordance with movement route information that indicates a movement route of a mobile object movable within a communication area of the free-space optical communication network; and a path change process of changing a free-space optical communication path in accordance with an estimation result of the interruption estimation process.
H04B 10/112 - Transmission dans la ligne de visée sur une distance étendue
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
93.
PRIVACY PRESERVING JOINT TRAINING OF MACHINE LEARNING MODELS
Systems and method for training a shared machine learning (ML) model. A method includes generating, by a first entity, a data transformation function; sharing, by the first entity, the data transformation function with one or more second entities; creating a first private dataset, by the first entity, by applying the data transformation function to a first dataset of the first entity; receiving one or more second private datasets, by the first entity, from the one or more second entities, each second private dataset having been created by applying the data transformation function to a second dataset of the second entity; and training a machine learning (ML) model using the first private dataset and the one or more second private datasets to produce a trained ML model.
G06F 18/2135 - Extraction de caractéristiques, p.ex. en transformant l'espace des caractéristiques; Synthétisations; Mappages, p.ex. procédés de sous-espace basée sur des critères d'approximation, p.ex. analyse en composantes principales
G06F 18/214 - Génération de motifs d'entraînement; Procédés de Bootstrapping, p.ex. ”bagging” ou ”boosting”
G06F 21/62 - Protection de l’accès à des données via une plate-forme, p.ex. par clés ou règles de contrôle de l’accès
94.
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND RECORDING MEDIUM
An information processing apparatus (2) includes: an obtaining unit (211) that obtains an infection information relating to an infected person that catches an infection disease; and an identifying unit (213) that identifies, as a contact person that possibly contacts the infected person, at least one target person staying in a stay area in which the infected person stays in at least a part of a time period during which the infected person stays in the stay area from a plurality of target persons based on the infection information and a history information (221) that is generated based on a plurality of target person images (IMG) that indicate the plurality of target persons, respectively.
An information processing system (SYS) includes: a plurality of gate apparatuses (1) that are respectively placed at a plurality of lanes (L) through each of which a target person (P) can pass; a thermal camera (3) that is configured to generate a body temperature information (IMG_T) indicating a body temperature of the target person by capturing an image of the target person included in an imaging range (TRG) thereof, the imaging range including at least a part of each of the plurality of lanes; and an information processing apparatus (4) that obtains the body temperature information from the thermal camera.
G07C 9/37 - Enregistrement de l’entrée ou de la sortie d'une entité isolée ne comportant pas l’utilisation d’un laissez-passer combiné à une vérification d’identité utilisant des données biométriques, p.ex. des empreintes digitales, un balayage de l’iris ou une reconnaissance de la voix
G01J 5/00 - Pyrométrie des radiations, p.ex. thermométrie infrarouge ou optique
96.
COMMUNICATION MANAGEMENT SYSTEM, OPERATION MANAGEMENT SYSTEM, AND INTEGRATION SYSTEM
Provided are a communication management system, an operation management system, and an integration system that enable reduction of costs and storage locations required when possession of many mobile base station vehicles is assumed and enable efficient continuation of a mobile communication service even in a case of local traffic increase, temporary traffic increase, and the like. The communication management system includes: a base station operating status storage unit holding operation to information of a base station operated by a communication carrier; a data processing unit selecting a movable object, being equipped with a base station function and managed by a distribution-delivery operator, to be dispatched to a predetermined area, based on positional information and operation plan information of the movable object; and an operation system requesting the distribution-delivery operator to dispatch the selected movable object to the predetermined area, based on a selection result by the data processing unit.
The present invention provides a notification system (10) including: a customer status information generation unit (11) generating, based on an image in which the inside of a store is captured, customer status information indicating at least one of the number of customers waiting for checkout and the number of customers in the store; a checkout work region information generation unit (12) generating, based on an image in which the inside of the store is captured, checkout work region information indicating status of a checkout work region where a clerk performing checkout work is positioned; a determination unit (13) determining, based on the customer status information and the checkout work region information, whether to make notification of an assistance request for checkout work; and a notification unit (14) making notification of the assistance request through an output apparatus when notification of the assistance request is determined to be made.
An information processing apparatus of the present disclosure includes: a region dividing unit that divides an instance input space of each of a plurality of machine learning models into a plurality of regions and assigns a probability to each of the division regions; a probability calculating unit that calculates a sampling probability on a predetermined instance belonging to the division region based on the probability assigned to the division region; and an instance selecting unit that selects the predetermined instance based on the sampling probability on the predetermined instance.
In order to ensure necessary inference accuracy while minimizing inference time, an information processing apparatus (1) includes: a first difficulty calculation unit (11) that calculates difficulty in inference carried out by inputting input data, constituting a time series, to a first-stage inference model among multiple-stage inference models which are configured such that use of a later-stage inference model achieves higher inference accuracy; and a first determination unit (12) that determines, on the basis of the difficulty, whether a second- or later-stage inference model will be used.
An image processing system (1) includes an image analysis unit (110), an image acquisition unit (120), and a guide information output unit (130). The image analysis unit (110) analyzes an image in a video captured by an image capturing apparatus, and detects a pose of a personal identification document in the image. The image acquisition unit (120) acquires, as an image to be processed, an image in the video in which a pose associated to any of a plurality of reference poses preset for the personal identification document is detected. The guide information output unit (130) outputs, onto the video, guide information representing a reference pose of the personal identification document while changing a type and a display position thereof, depending on a detection result of a pose of the personal identification document.