In the endoscopic examination support apparatus, the lesion candidate detection means detects a lesion candidate from an endoscopic image acquired by imaging an interior of a luminal organ. The flag setting means sets a flag according to a position in the interior of the luminal organ at which the endoscopic image including the lesion candidate is acquired. The risk determination means determines a risk of the lesion candidate based on at least a size of the lesion candidate and the flag. The display image generation means generates a display image including information relating to a position of the lesion candidate in the endoscopic image, information relating to a position in the interior of the luminal organ corresponding to the flag, and information relating to the risk of the lesion candidate.
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
2.
BOLOMETER, DETECTION METHOD, AND BOLOMETER MANUFACTURING METHOD
A bolometer of the disclosure includes a gate electrode to which a gate voltage is configured to be applied, a drain electrode to which a drain voltage is configured to be applied, a source electrode, and a first film that connects the drain electrode and the source electrode and includes a carbon nanotube, in which, when the drain voltage is negative, the gate voltage is set between a first upper limit value and a first lower limit value, the first upper limit value is the gate voltage when a drain current of the drain electrode is at a minimum.
Provided is a light receiver that includes a ball lens, an irradiation position detector that detects an irradiation position of a signal light condensed by the ball lens, a wavelength separator that wavelength-separates a signal light having a plurality of wavelengths used for spatial optical communication from a signal light condensed by the ball lens, and a light receiving element group including a plurality of communication light receiving elements that receive a signal light having the plurality of wavelengths wavelength-separated by the wavelength separator.
A quantum device includes a quantum chip, a first interposer which faces the quantum chip, and bumps provided at locations between the first interposer and the quantum chip, the bumps including first bumps and second bumps, wherein the first bumps contain at least a superconducting material, and the second bumps are made of a different material from the first bumps.
To provide an optical transport device that enable the strengths of optical signals to be recovered when the strengths of the optical signals vary, an optical transmission device comprises: a wavelength selection switch that attenuates, in accordance with an attenuation amount, each of a plurality of optical signals outputted from a plurality of optical transmitter, multiplexes and outputs the attenuated optical signals; and an optical detector that detects and compares the strength of at least one of the plurality of optical signals with a first threshold value and a second threshold value higher than the first threshold value. On the basis of the result of said comparison, the wavelength selection switch controls the attenuation amount such that the optical signal the strength of which has been detected has a strength value between the first threshold value and the second threshold value.
The acquisition means acquires an endoscopic image. The detection means detects a lesion candidate from the endoscopic image and output a lesion candidate image including the lesion candidate. The setting means sets a lesion area corresponding to the lesion candidate and a corresponding area corresponding to the lesion area, in the lesion candidate image. The blur determination means determines a blur of an image of the lesion area based on the image of the lesion area and an image of the corresponding area. The image determination means determines suitability of the lesion candidate image based on a determination result of the blur.
A display device of the present disclosure includes an identification means for identifying an organization unit name for managing each network asset included in a cyber security risk assessment target and identification information of the each network asset, an assessment acquisition means for acquiring a third-party assessment value for each organization based on information identifying the organization unit name and the identification information of the each network asset, and a display means for displaying the third-party assessment value for the each organization.
In order to train a machine learning model such that the machine learning model makes inferences with higher accuracy, a training apparatus includes at least one processor, the at least one processor carries out: an acquiring process of acquiring training images; and a training process of for training the machine learning model with use of the training images, and treats a training image belonging to a subclass different from a subclass to which an image of interest belongs and belonging to a class the same as a class to which the image of interest belongs, as a quasi-positive sample, and a training apparatus belonging to a class different from the class to which the image of interest belong, as a negative sample, to train the machine learning model such that the degree of similarity between features of the image of interest and features of the quasi-positive sample is higher than the degree of similarity between the features of the image of interest and features of the negative sample.
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 10/762 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
9.
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
An information processing apparatus includes: a dependency analysis unit configured to execute a flow analysis on an inspection target program and analyze dependency relationships between variables in a process flow included in the inspection target program, the dependency relationships including a data dependency relationship and a control dependency relationship; and a directed graph generation unit configured to generate, based on results of analyzing the dependency relationships, a directed graph having a part of the inspection target program which generates the control dependency relationship as a node regarding the process flow.
An information processing apparatus includes an image acquisition unit that acquires a photographed image generated by photographing a user's view by a user terminal, a specification unit that detects an exteriorly-installed facility object related to a facility from the photographed image and specifying a facility of interest based on the detected exteriorly-installed facility object, a generation unit that generates superimposition information based on facility-related information related to the facility of interest, and an output control unit that makes the user terminal display the superimposition information in such a manner that the superimposition information overlaps a view area indicating the user's view.
G06V 20/20 - ScenesScene-specific elements in augmented reality scenes
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
G06F 3/0487 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
In order to calculate an index that properly indicates the degree of accuracy of a prediction result outputted by a machine learning model, an index calculating apparatus includes at least one processor, and the at least one processor carries out: a comparing process of comparing a characteristic of a training image used in machine learning of the machine learning model which receives, as an input, an image to be subjected to inference, to classify the image and a characteristic of an input image to be inputted to the machine learning model at a time of inference; and a calculating process of calculating, in accordance with a difference between the characteristic of the training image and the characteristic of the input image which have been compared with each other in the comparing process, an index which indicates a possibility of error in a classification result obtained in a case where the input image is inputted to the machine learning model.
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
An information processing device 100 of the present disclosure includes a data acquisition unit 121 and a data selection unit 122. The data acquisition unit 121 acquires biological data measured from a person whose state related to agitation is to be determined, and a determination result of the state by a determiner with respect to the person. The data selection unit 122 selects learning data from the biological data on the basis of a skill value and the determination result. The skill value represents the ability of determining the state and is set for the determiner. Selection of the learning data is optimized by the data selection unit 122 of the present disclosure.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
13.
IMAGING SYSTEM, IMAGING APPARATUS, IMAGING METHOD, AND NON-TRANSITORY RECORDING MEDIUM
An imaging system includes: an information acquisition unit that acquires movement information about a movement of at least a part of a target; a periodicity estimation unit that estimates periodicity about the movement of at least a part of the target, on the basis of the movement information; and an image acquisition unit that controls a camera for imaging the target on the basis of the periodicity and acquires an image of the target. According to such an imaging system, it is possible to properly image a moving target.
A wireless base station includes an interference-sensing means for sensing the occurrence of interference at the wireless base station, an interference analysis means for executing analysis that is based on the result of sensing by the interference-sensing means and that includes estimation as to the continuity of the interference, and a wireless resource control means for executing wireless resource control for reducing the effect of the interference in accordance with the result of analysis by the interference analysis means. The continuity includes temporal continuity and/or spatial continuity.
A control apparatus capable of reducing the processing time is provided. An image acquisition unit acquires an image obtained by photographing a surrounding environment. A detection unit performs a process for detecting a detection target from the acquired image. A calculation unit calculates brightness by using some of pixels in an area of the detection target detected from the image, specified under a predetermined condition. A determination unit determines a control parameter used in a photographing apparatus based on the calculated brightness. A control unit controls the photographing apparatus so as to perform photographing by using the determined control parameter.
H04N 23/70 - Circuitry for compensating brightness variation in the scene
G06V 10/60 - Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
H04N 23/611 - Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
16.
STATE DETERMINATION APPARATUS, STATE DETERMINATION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM
A state determination apparatus acquires each of time-series fixed images obtained by shooting a rotating object via a first optical device that rotates and emits incident light; calculates a displacement amount of a plurality of specific points on the object, and calculates a difference between the displacement amount of a reference specific point and the displacement amount of each specific point other than the reference specific point; calculates, as an out-of-plane displacement, a displacement of a surface of the object on an image plane following movement of the object in a normal direction of the image plane, using the difference; calculates, as an in-plane displacement, a displacement of the surface of the object on the image plane following movement of the surface of the object; and specifies an abnormality of the object, based on a distribution of the in-plane displacement or a temporal change of the out-of-plane displacement.
In the training device, the partial image generation means generates partial images smaller than an input image from the input image. The feature space generation means generates a feature space to which feature values of the partial images are mapped, for each input image. The training data generation means generates training data by acquiring training partial images from the partial images based on the feature space. The training means trains a prediction model for predicting a probability that a predetermined feature is included in the training partial image using the training data. The prediction means performs prediction for the partial images included in the input image using a trained prediction model. Further, the training data generation means acquires training partial images used as training data in a next training, based on predicted values for the partial images in the feature space. Thus, the training of the prediction model by the training means is repeated while the training partial images are updated.
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 20/69 - Microscopic objects, e.g. biological cells or cellular parts
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
18.
MODEL EVALUATION DEVICE, MODEL EVALUATION METHOD, AND PROGRAM
A model evaluation device 100 of the present disclosure includes a generation unit 121 that generates a plurality of second machine learning models that are different from a first machine learning model subject to performance evaluation, and an evaluation unit 122 that evaluates the first machine learning model on the basis of prediction labels that are output by inputting the same data to the first machine learning model and to each of the second machine learning models. Therefore, the model evaluation device 100 is able to assist decision making by a user.
A communication apparatus includes: a packet identification information acquisition part that acquires packet identification information that identifies a packet received from a transmission source; a packet identification information holding part that holds the packet identification information; a transferring part that transfers the packet received to at least one other communication apparatus; a packet identification information collation determination part that collates response packet identification information that identifies a response packet from the at least one other communication apparatus with the packet identification information held in the packet identification information holding part to determine whether or not the response packet and the packet are the same or corresponding packets; and a transmission part that transmits the packet to a transmission destination on a basis of a determination result of the packet identification information collation determination part.
H04L 47/283 - Flow controlCongestion control in relation to timing considerations in response to processing delays, e.g. caused by jitter or round trip time [RTT]
20.
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
Provided is an information processing apparatus which allows a user to more efficiently obtain useful information from a plurality of services and to more easily carry out optimum selection for the user. An information processing apparatus includes: an input acquisition section for acquiring a first request from a user; an answer acquisition section for acquiring first answers respectively from a first machine learning model and a second machine learning model in response to the first request while causing the second machine learning model to refer to a first answer obtained from the first machine learning model; and a display control section for causing a display apparatus to display a first answer set which includes the first answers obtained respectively from the first machine learning model and the second machine learning model.
Example embodiments of the present disclosure relate to a method of communication, comprising: a remote terminal device receiving, from a first network device serving the remote terminal device, conditional path switch configuration information used for switching the re-mote terminal device from a first path to a second path, wherein at least one of the first and second paths is indirect path and the conditional path switch configuration information indicates: first information indicating at least one first switching condition corresponding to at least one first candidate node comprising a candidate cell or a candidate relay terminal device, the first information being associated with a path failure scenario; and in response to determining a path failure, determining, from the at least one first candidate node, a first candidate node as a target node if a corresponding first switching condition is met.
The present invention is capable of accurately estimating the density of an object by measuring cosmic rays that are transmitted through the object. A spectrum acquiring unit acquires a first energy spectrum of first cosmic rays that arrive at a predetermined zenith angle without being transmitted through an object, and acquires a second energy spectrum on the basis of a measurement result of second cosmic rays that arrive at the predetermined zenith angle after being transmitted through the object. A spectrum comparison unit compares the first and second energy spectra to analyze the energy loss of the second cosmic rays due to the transmission through the object. An estimating unit calculates, on the basis of the energy loss analysis result, the amount of matter on a path through the object along which the second cosmic rays were transmitted, and calculates an estimated value of the density of the object by dividing the amount of matter by the length of the path.
G01N 23/06 - Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups , or by transmitting the radiation through the material and measuring the absorption
23.
WIRELESS ACCESS NETWORK NODE, WIRELESS TERMINAL, AND METHOD THEREOF
This radio access network (RAN) node notifies an adjacent RAN node of a support or transmission status of a low power consumption wake-up-related signal in a first cell of the RAN node, and receives, from the adjacent RAN node, a support or transmission status of a low power consumption wake-up-related signal in a second cell of the adjacent RAN node. This can contribute, for example, to solving a problem pertaining to the implementation of a low power consumption mechanism using a low power consumption wake-up signal (LP-WUS) and a low power consumption wake-up/receiver (LP-WUR).
This information processing device includes a search unit that searches for whether or not second audio data similar to sound source data stored in a database is included in first audio data that is recorded, a generating unit for generating a synchronization adjustment unit that, in a case in which the second audio data similar to the sound source data is found, adjusts time lag and audio level of sound source data corresponding to the second audio data, and synchronizes with the first audio data, and a noise removal unit that adjusts the sound source data using the synchronization adjustment unit and removes the adjusted sound source data from the first audio data.
G10L 25/54 - Speech or voice analysis techniques not restricted to a single one of groups specially adapted for particular use for comparison or discrimination for retrieval
25.
LEARNING DEVICE, LEARNING METHOD, AND LEARNING PROGRAM
This information processing device calculates a feature amount from training data including image data of time-series data, and determines parameters of a learning model so as to decrease an evaluation value related to a difference in the feature amount over a period.
This Aerial User Equipment (UE) receives system information via a broadcast in a first cell. If system information does not contain first information indicating whether or not the first cell is barred for Aerial UEs, the Aerial UE does not handle the first cell as a barred cell in cell selection or cell reselection. The foregoing may, for example, contribute to solving a problem related to realizing a mechanism for enabling Aerial UEs to respect a no-transmit zone (NTZ).
This information processing device comprises a first acquisition unit, a second acquisition unit, an integration unit, and an identification unit. The first acquisition unit and the second acquisition unit acquire first information and second information, which are generated using respective electromagnetic waves of a first frequency and a second frequency different from each other, and in which positions in a target region are respectively associated with a first reliability and a second reliability indicating the likelihood that an object is present in said positions. On the basis of the first reliability and second reliability for respective sub-regions corresponding to the positions in the target region, the integration unit generates reliability map information indicating the reliability of each of the sub-regions. The identification unit identifies the region in which the object is present by processing the reliability map information.
G01S 13/89 - Radar or analogous systems, specially adapted for specific applications for mapping or imaging
G01S 13/86 - Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
G01V 3/12 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation operating with electromagnetic waves
28.
DISPLAY SUPPORT DEVICE, DISPLAY SUPPORT METHOD, AND RECORDING MEDIUM
This display support device includes a book information acquiring unit, an identifying unit, and an output unit. The book information acquiring unit acquires book information relating to a book of interest to be displayed on a shelf. The identifying unit inputs the acquired book information into a learning model that has learned a relationship between a time-series change in a display state, including a display position and a display method, of each book on the shelf, and the book information relating to the books displayed on the shelf, and identifies a candidate for the display position and display method for displaying the book of interest on the shelf, and a candidate for a book to be removed from the shelf. The output unit outputs the candidate for the display position and display method for displaying the book of interest, and the candidate for the book to be removed.
Embodiments of the present disclosure provide a solution for determining a target transmission configuration indicator (TCI) state. In the solution, the terminal device receives, from a network device providing a first cell that serves the terminal device, a layer 1/layer 2 (L1/L2) triggered mobility (LTM) -based cell switch command of a second cell to be switched to at a future time instance; and delays performing a cell switch to the second cell indicated by the LTM-based cell switch command based at least in part on a delay duration.
A learning device 100 according to the present disclosure comprises: an acquisition unit 121 that, with respect to training data in which pieces of input data are associated with corresponding classes on order labels in which the order of the classes into which the pieces of input data are classified is set, acquires an extension label which is set according to a corresponding class and in which each class of the order labels is divided into a plurality of sub-classes, and a weight that is set according to a correspondence class and is set in correspondence to each sub-class of the extension label; an estimation unit 122 that is configured to calculate, on the basis of the input data, a probability that the class of the input data exceeds each sub-class of the extension label according to the order, and estimate the class of the order label on the basis of the probability; and a training unit 123 that trains the estimation unit by using the loss based on the probability, the extension label, and the weight. Thereby, the class estimation of the order regression by the estimation unit constituted of a machine-learning model is optimized.
An image processing device disclosed herein comprises: an image acquisition unit for acquiring a first image (g1) that is captured by a first imaging device and a second image (G2) that is captured by a second imaging device, includes at least a portion of the imaging range of the first image, and has a higher quality than the first image; a product placement recognition unit that recognizes the placement (F) of a product (E) in the second image (G2) on the basis of the second image; and an association unit that associates (G1) the placement (F) of the product (E) in the second image with the first image. As a result, the status of the product (E) can be detected from a later first image (g1) by using the associated information, and the decision-making of a user with respect to the product (E) can be assisted.
A display control device according to the present invention includes a search unit and a display control unit. The search unit uses position information relating to the position of a vehicle driving at least partially on electric power or a planned travel route thereof to search for a charging facility capable of charging the vehicle. The display control unit causes a display located in the vehicle to display a map, and causes a facility mark indicating the charging facility searched by the search unit to be displayed on the map at a position corresponding to the charging facility. At this time, the display control unit determines the display mode of the facility mark according to the attribute of the charging facility.
B60L 53/00 - Methods of charging batteries, specially adapted for electric vehiclesCharging stations or on-board charging equipment thereforExchange of energy storage elements in electric vehicles
33.
DETERMINATION SYSTEM, DETERMINATION DEVICE, AND DETERMINATION METHOD
The present disclosure provides a determination system, a determination device, and a determination method which are capable of efficiently analyzing an image. A determination system according to the present disclosure comprises an acquisition unit and a determination unit. The acquisition unit acquires a feature amount of each region in an image. For example, the acquisition unit acquires a feature amount of each region in an image captured by a camera. The determination unit determines the necessity of analyzing each region in the image on the basis of the feature amount of each region acquired by the acquisition unit. For example, the determination unit outputs a determination result of the necessity of analyzing each region in the image.
The present disclosure provides a selection system, a selection device, and a selection method capable of selecting an appropriate notification destination. A selection system according to the present disclosure comprises a detection unit, an acquisition unit, and a selection unit. The detection unit of the selection system detects an abnormality in work performed by a worker. The acquisition unit of the selection system acquires a work status of the work in which the abnormality has been detected. The selection unit of the selection system selects a notification destination to which the result of detecting the abnormality by the detection unit is notified on the basis of the work status acquired by the acquisition unit.
In an apparatus in the related art, there is a problem that a rehabilitation menu presented by a rehabilitation planning apparatus or the like is not utilized. A rehabilitation menu determination assistance apparatus according to an example embodiment includes: patient information acquisition means for acquiring reference patients having individual information from past information; similarity score calculation means for calculating a similarity score indicating similarity of individual information between an input reference patient and the reference patients; similarity ranking determination means for ranking the reference patients in a descending order of the similarity score; and first rearrangement processing means for rearranging ranks of the reference patients so that the reference patients including more rehabilitation menus commonly performed for a plurality of the reference patients among rehabilitation menus operated on the reference patients are ranked higher.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
36.
PRICE SETTING SYSTEM, PRICE SETTING METHOD, AND COMPUTER-READABLE MEDIUM
A price setting system receives demand data indicating a demand of a service in time series, the demand data being generated based on data indicating at least one action of reservation, purchase, and payment performed by a customer for the service. The price setting system determines predetermined accompanying data for the demand data. The price setting system sets a price for the service at a predetermined target time based on the demand data and the predetermined accompanying data.
In the endoscopic examination support apparatus, the video acquisition means acquires an endoscopic video captured by an endoscope. The lesion detection means detects a lesion candidate from the endoscopic video. The heat map generation means generates a heat map which represents a lesion possibility of the lesion candidate included in the endoscopic video by a color. The display control means superimposes and displays an area where the lesion possibility is equal to or higher than a first threshold on the endoscopic video in a first display mode, and superimposes and displays an area where the lesion possibility is equal to or higher than a second threshold on the endoscopic video in a second display mode.
A system includes a server apparatus and an authentication terminal. The server apparatus stores biometric information of at least one or more users who plan to use a hotel. The authentication terminal is managed by an affiliated business operator that has a partnership relationship with the hotel and transmits an authentication request that includes biometric information of a person to be authenticated to the server apparatus. The server apparatus identifies the person to be authenticated among the at least one or more users by a matching processing using the biometric information included in the authentication request and the stored biometric information. When the identified person to be authenticated is a hotel user who uses or has used the hotel within a predetermined period of time based on a time of processing the authentication request, the server apparatus provides the hotel user with a reward related to the affiliated business operator.
An information processing system includes: a reference image acquiring unit that acquires a reference image; a bracketing unit that controls a camera to perform bracketing based on the reference image; a histogram acquiring unit that acquires a histogram of the reference image; and an additional imaging unit that controls the camera to perform additional imaging with a set value different from that of the bracketing imaging, on the basis of the histogram of the reference image. According to such an information processing system, it is possible to capture an appropriate image, regardless of an imaging environment.
In order to generate a hypothesis which is convincing to a user, an information processing device (1) includes: a hypothesis generation section (11) which generates, by abductive inference, a plurality of hypotheses that differ from each other; a hypothesis display section (12) which causes a display device to display a plurality of elements making up each of the plurality of hypotheses that have been generated; and an acceptance section (13) which accepts, from a user, a feedback on at least one of the plurality of elements that have been displayed. The hypothesis generation section (11) applies a constraint condition which varies depending on the feedback, and regenerates at least one hypothesis.
A call system includes a terminal, and an external server that generates a candidate for a predicted word in accordance with information transmitted from the terminal, in which the terminal includes a motion detection unit that detects a motion of the user, a communication function unit that performs communication of output non-vocalization data generated from the motion detected by the motion detection unit to the external server and receiving a candidate for a word predicted by the external server, and a candidate presentation unit that presents the candidate for the word received from the external server to the user, and the external server includes a prediction unit that predicts the candidate of the word in accordance with the received non-vocalization data, and a voice conversion unit that generates a voice to be output to a talk partner according to a word selected by the user among the word candidates.
A radiowave information output device receives reception waveform data and radiowave information for a reception radiowave being a radiowave received by a radiowave sensor, executes collation in such a way as to determine whether reception meta data being information included in the received radiowave information and identification information relating to a transmission source of a radiowave match with collation meta data being identification information relating to a transmission source of a known radiowave, executes collation for the reception radiowave whose reception meta data do not match with any piece of the collation meta data in such a way as to determine whether a reception signal waveform matches with a collation signal waveform being a signal waveform of the known radiowave, and outputs unknown radiowave information for an unknown radiowave being the reception radiowave whose reception signal waveform does not match with any of the collation signal waveforms.
Provided is a communication device including a ball lens, a transceiver in which a light receiver having a light reception axis passing through a center of the ball lens and a light transmitter having a light transmission axis parallel to the light reception axis are integrated, and a rotation mechanism that rotatably supports the transceiver along a circular orbit in a horizontal plane and a vertical plane centered on the ball lens.
The image processing device 1X includes an acquisition means 30X and a lesion detection means 34X. The acquisition means 30X acquires an endoscopic image obtained by photographing an examination target by a photographing unit provided in an endoscope. The lesion detection means 34X detects a lesion based on a selection model which is selected from a first model and a second model, the first model being configured to make an inference regarding a lesion of the examination target based on a predetermined number of endoscopic images, the second model being configured to make an inference regarding a lesion of the examination target based on a variable number of endoscopic images. Besides, the lesion detection means 34X changes a parameter to be used for detection of the lesion based on a non-selection model that is the first model or the second model other than the selection model.
A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor
45.
INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND PROGRAM
An information processing system (1) includes an account-opening task server (100) and an agent server (200), wherein the server (100) includes a transmission unit (102) that transmits, to the server (200), when storing personal information of a user in a personal information database (120), first authentication information for logging in the server (100) with respect to the user and a processing unit (104) that executes, when receiving the first authentication information, processing of reading the user information of the user, and the server (200) includes an ID registration unit (202) that stores second authentication information for the user to log in to the server (200) in an ID storage unit (220) in association with the first authentication information and a login unit (204) that reads, when receiving the second authentication information, the first authentication information corresponding to the second authentication information from the ID storage unit (220) and logs in to the server (100).
In the information processing device, the training means trains a learning model using graph data and relationship data. The graph data includes a plurality of nodes corresponding to a plurality of contents, and the graph data is provided with attribute data indicating attributes of the plurality of nodes. The relationship data indicates known relationships between the nodes linked in the graph data. The analysis means performs an analysis for identifying contents optimized for a keyword inputted by a user, by using the trained learning model. The display information generation means generates a graph for showing an analysis result obtained by the analysis together with a basis, and generates a display information in which an icon corresponding to the attribute of each node is applied to each node constituting the basis in the graph. The information processing device can be used for user's decision making relating to healthcare.
In the biological information acquisition device, the spatiotemporal information generation means generates spatiotemporal information by accumulating information relating to a region of interest extracted from a plurality of time-series images included in a biological video obtained by shooting a skin of a subject for a predetermined period. The extraction means extracts AC components and DC components from the spatiotemporal information. The estimation means estimates blood oxygen saturation of the subject in the predetermined period, based on the AC components and the DC components. This device can be used to support user's decision making and the like.
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
An inspection system includes: an identification model learning means that performs machine-learning of a model identifying the type of a target object from time-series data representing the movement trajectory of the target object obtained by observation; a confidence level prediction model learning means that performs machine-learning of a confidence level prediction model estimating the confidence level of an estimation result by the identification model from the observation specification of time-series data representing the movement trajectory of a target object; and a determining means that uses the learned identification model to estimate the type of a target object from the movement trajectory of the target object obtained by observation, and uses the learned confidence level prediction model to predict the confidence level of an estimation result by the identification model from the observation specification of the time-series data.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
The present disclosure provides a communication device and a method that can easily achieve beam pattern monitoring. A parameter calculation unit of a communication device calculates a beam forming parameter each time information necessary for beam forming is received. A monitoring packet generation unit generates a monitoring packet including the beam forming parameter calculated by the parameter calculation unit and sends the monitoring packet to an interface.
H04B 7/06 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
50.
INFORMATION PROCESSING APPARATUS, SURVEY SYSTEM, AND ADJUSTMENT METHOD
Generating an answer fit for use in the job of a predetermined user is made possible via a language model. An information processing apparatus includes: a designating section for designating data related to a job of a predetermined user as job-related data; and an adjusting section for adjusting, with use of the job-related data, a language model having been trained by machine learning so as to output an answer to a query, such that the language model suits the predetermined user. The language model thus adjusted can also be used in supporting the predetermined user in their decision-making.
An information processing system, comprising: a memory configured to store instructions; and one or more processors configured to execute the instructions to: acquire a displacement of a structure on a ground; acquire sensor information related to a surface of the structure; determine a surface layer state of the structure based on the sensor information; and output the displacement in an entire or partial region of the structure and the surface layer state in the entire or partial region of the structure.
An AI (Artificial Intelligence) system comprising: the input means 81 accepts input of multiple candidate solutions to an optimization problem in which an objective function is express as an inner product of a feature and weight, or expressed in a bilinear form, and weight of the objective function; the optimal solution determination means 82 determines as an optimal solution, among the candidate solutions, the candidate solution that maximizes the inner product with the weight of the objective function or the candidate solution that maximizes a value of the bilinear form; and the output means 83 outputs the optimal solution.
A backdoor inspection apparatus and the like with improved inspection accuracy of a backdoor trigger are provided. A backdoor inspection apparatus includes: an acquisition unit acquiring a program to be analyzed and starting point information of analysis; a data flow analysis unit analyzing a data flow included in the program, based on the acquired program to be analyzed and starting point information of analysis, and outputting data flow analysis information; and a conditional branch extraction unit extracting, as a candidate of a backdoor trigger, a conditional branch in which external input data are directly propagated, by using the data flow analysis information.
An information processing apparatus of the present disclosure includes: a designing unit that generates design path information representing a design process of system configuration information designed by converting an abstract element into a concrete element using a concretization rule; a converting unit that generates embedded design path information to which information of a superordinate concept of the element of each system configuration information included in the design path information is added; a reward setting unit that sets a reward for each system configuration information included in the embedded design path information in accordance with whether or not the element of the system configuration information is a concrete element; and a learning data generating unit that generates learning data using each system configuration information included in the embedded design path information and the reward set for the system configuration information.
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
G06F 30/18 - Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
55.
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
An information processing apparatus (100) includes a generation unit (102) generating an optimization model (80) by using template information (10) defining an objective function and a constraint that are indicators of an optimization problem, wherein the template information (10) includes item definition information (12) determining data items input to the objective function and the constraint, and algorithm definition information (14) defining an algorithm for the objective function and the constraint.
G06Q 30/0202 - Market predictions or forecasting for commercial activities
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
56.
OPTICAL REPEATER, OPTICAL REPEATING METHOD, AND PROGRAM
An optical repeater of an optical network system performs chromatic dispersion compensation processing on an electrical signal based on a received optical signal, the processing being based on a carrier frequency and frequency band of the relevant channel among a plurality of channels included in the optical signal; and phase conjugation processing on the electrical signal based on the received optical signal.
A signal control system comprising a data acquiring unit that acquires traffic status data related to movements of a vehicle and a pedestrian at an intersection for a predetermined time in the past, a first calculating unit that calculates a first evaluation value based on the traffic status data, and a creating unit that creates, based on the first evaluation value, a signal control schedule, including timing at which signal pedestrian-and-vehicle separation type signal control is to be performed at the intersection.
In an image processing device, the image acquisition means acquires a lesion candidate image including a lesion candidate detected from an endoscopic image. The resize means performs resize processing for resizing a size of the lesion candidate image according to a target size while maintaining an aspect ratio of the lesion candidate image. The padding means performs padding processing for matching a size of a resized image obtained by the resize processing to the target size.
G06T 3/4053 - Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution
A mental state estimation device 1X mainly includes an observation data acquisition means 15X, a first mental state acquisition means 16X, and a second mental state estimation means 17X. The observation data acquisition means 15X acquires observation data obtained by observing a target person. The first mental state acquisition means 16X acquires an estimation result of a first mental state of the target person. The second mental state estimation means 17X estimates a second mental state of the target person, which is a mental state correlated with the first mental state, based on the observation data and the estimation result of the first mental state.
To provide a communication apparatus capable of withstanding a short-time path failure while reducing network load. The communication apparatus included in communication apparatuses capable of forming a mesh free space optical communication network, includes: a communication section that transmits and receives packets each including (i) transmission information from a terminal, and (ii) determination information indicating a transmission source communication apparatus included in the communication apparatuses and connected to the terminal, and a transmission sequence; and a relay section that uses the determination information of a received packet and the determination information of a packet received in advance from at least one communication apparatus included in the communication apparatuses, to determine whether or not to relay the received packet to at least one communication apparatus in the communication apparatuses. The communication section transmits the received packet determined to be relayed by the relay section to the at least one communication apparatus.
The image processing device 1X includes an acquisition means 31X, a selection means 32X, and a determination means 33X. The acquisition means 31X is configured to acquire data obtained by applying Fourier transform to an endoscopic image of an examination target photographed by a photographing unit provided in an endoscope. The selection means 32X is configured to select partial data that is a part of the data. The determination means 33X is configured to make a determination regarding an attention point to be noticed in the examination target based on the partial data. It can be used for assisting user's decision making,
G06T 3/4084 - Scaling of whole images or parts thereof, e.g. expanding or contracting in the transform domain, e.g. fast Fourier transform [FFT] domain scaling
62.
WIRELESS TERMINAL, RADIO ACCESS NETWORK NODE, AND METHOD THEREFOR
This wireless terminal has a main transceiver and a low power consumption wake-up receiver. The wireless terminal records a minimization of drive tests (MDT) measurement result including a measurement result of a low power consumption wake-up related signal using the low power consumption wake-up receiver while at least the main transceiver is in an ultra-deep sleep power state. This may contribute, for example, to solving a problem related to achieving a low power consumption mechanism using a low power consumption wake-up signal (LP-WUS) and a low power consumption wake-up receiver (LP-WUR).
This reading device is provided in a passage through which a person passes. The reading device according to the present disclosure includes, as an example, a plurality of product reading units, a container position estimation unit, a control unit, and a product identification unit. The plurality of product reading units read information from a radio communication tag attached to a product. The container position estimation unit estimates the position of a product conveyance container used by the person in the passage. The control unit controls, on the basis of an estimation result of the position of the container, at least one of a reading condition of the plurality of product reading units and a determination criterion for when determining, using the reading results of the plurality of product reading units, whether or not the product has passed through the passage. The product identification unit identifies the product that has passed through the passage by using the reading results from the plurality of product reading units after the control by the control unit.
Aerial User Equipments (UE) receive, in a first cell and from a network, no-transmit zone (NTZ) related information containing geographical information for defining a geographical range of an NTZ with respect to the Aerial UEs. The foregoing may, for example, contribute to solving a problem related to realizing a mechanism for enabling the Aerial UEs to respect the NTZ.
This information processing device is provided with a first generation unit, a second generation unit, and an identification unit. On the basis of each of a plurality of pieces of observation information obtained by using radio waves to observe a target region under different observation conditions, the first generation unit generates a plurality of pieces of reliability information including reliability indicating the accuracy that an object is present at each position of the target region represented using a common coordinate system. The second generation unit generates reliability map information indicating integrated reliability for each position on the basis of a plurality of levels of reliability at each position of the target region. The identification unit identifies an existence region of the object by processing the reliability map information.
G01S 13/89 - Radar or analogous systems, specially adapted for specific applications for mapping or imaging
G01S 13/56 - Discriminating between fixed and moving objects or between objects moving at different speeds for presence detection
G01S 13/88 - Radar or analogous systems, specially adapted for specific applications
G01V 3/12 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation operating with electromagnetic waves
Example embodiments of the present disclosure relate to devices, methods, and computer storage medium for communication. In the solution, an A-IoT device may transmit, to a communication device, a report which includes power related information of the A-IoT device. In some example embodiments, the power related information of the A-IoT device indicates a power stability indication associated with an energy harvesting capability of the A-IoT device. Accordingly, the communication device may be aware of the power related information of the A-IoT device, and thus a communication process may be optimized.
H04W 52/36 - Transmission power control [TPC] using constraints in the total amount of available transmission power with a discrete range or set of values, e.g. step size, ramping or offsets
67.
NOTIFICATION DEVICE, NOTIFICATION METHOD, AND RECORDING MEDIUM
A notification device according to the present disclosure comprises a reference value acquisition unit, a notification unit, and a threshold value setting unit. The reference value acquisition unit acquires a reference value indicating at least one of the sufficiency rate of products of interest on a display shelf and the cumulative number of products of interest sold from a timing when shop stocking was performed. When the relationship between the reference value and a threshold value satisfies a notification condition, the notification unit issues notification regarding a request for shop stocking. The threshold value setting unit sets the threshold value on the basis of at least one of a reference value at the time of a past shop stocking request for which the sufficiency rate did not fall below a lower-limit value before shop stocking was performed after the shop stocking request, and a reference value at the time of past shop stocking performed in a state in which the sufficiency rate did not fall below the lower-limit value.
In this conference information processing device, a response generating means acquires a question from a user and uses a machine learning model to generate a response to the question. A retrieving means uses the response as a query to retrieve text that is similar to the response. An integrated displaying means acquires an image corresponding to text that is similar to the response and displays the acquired image together with the response. This conference information processing device can assist with user decision making.
Embodiments of the present disclosure relate to devices and methods of communication. In one aspect, upon determination that an energy status of an A-IoT device fulfills a condition, the A-IoT device performs a procedure for a communication between the A-IoT device and a communication device. In this way, an A-IoT device performs a communication only when an energy status fulfills a condition, and thus service continuity may be ensured.
H04W 52/36 - Transmission power control [TPC] using constraints in the total amount of available transmission power with a discrete range or set of values, e.g. step size, ramping or offsets
Embodiments of the present disclosure provide a solution for synchronization signal/physical broadcast channel (SS/PBCH) block. In a solution, a terminal device receives, from a network device, a set of SS/PBCH subblocks. A SS/PBCH block comprises the set of SS/PBCH subblocks and each SS/PBCH subblock in the set of SS/PBCH subblocks occupies a set of consecutive symbols in time domain and a set of subcarriers in frequency domain. The terminal device detects at least one of the followings, after the reception of the set of SS/PBCH subblocks: a primary synchronization signal, a secondary synchronization signal, or a PBCH signal.
A display control device 1X mainly includes an acquisition means 181X, a filtering means 182X, and a display control means 19X. The acquisition means 181X acquires time-series information representing a medical event in time series. The filtering means 182X filters the time-series information on the basis of a designated purpose. The display control means 19X causes a display device to displays the filtered time-series information.
An information processing device 1X mainly comprises a first acquisition means 15X, a second acquisition means 16X, and an integration means 17X. The first acquisition means 15X acquires first time-series information representing a medical event in a time series generated from structured data of a medical record of a patient. The second acquisition means 16X acquires second time-series information representing a medical event in a time series generated from unstructured data of the medical record of the patient. The integration means 17X generates third time-series information in which the first time-series information and the second time-series information are integrated.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
73.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, RECORDING MEDIUM, AND INFORMATION PROCESSING SYSTEM
This information processing device comprises: an allowable weight acquisition unit that acquires allowable weight information indicating a weight allowed by a target region which is a region into which a vehicle can enter; a vehicle weight identification unit that identifies the weight of a target vehicle, which is entering or attempting to enter the target region, by using an image captured of the target vehicle; and a processing unit that performs prescribed processing in accordance with the result of comparison between the allowable weight indicated by the allowable weight information of the target region and the weight of the target vehicle.
An image processing device 10 comprises: a camera matrix acquisition unit 11 that acquires a camera matrix for each image when point group data of an object is generated from a plurality of images; a projection vector calculation unit 12 that selects a pair of images from the plurality of images and calculates a projection vector from one of the images in the pair to the other image by using the camera matrix of each of the images in the pair; and a feature-point pair setting unit 13 that selects a feature point in one of the images in the pair, sets a projection area, in which the selected feature point is projected in the other image, by using the selected feature point and the projection vector, specifies a feature point corresponding to the selected feature point from among feature points existing in the projection area, and sets the two feature points as a feature point pair.
A learning device 1X mainly includes a classifying means 14X and a learning means 17X. The classification means 14X classifies observed feature values of subjects so that an index representing a correlation between the observed feature values and a stress value becomes higher than the correlation before the classification, wherein the stress value is a correct answer corresponding to the observed feature values. The learning means 17X trains, based on the observed feature values and the stress value which is the correct answer, stress estimation models for respective classes divided at least by the classification, wherein the stress estimation models each estimates a relation between the observed feature values and the stress value.
Embodiments of the present disclosure relate to methods, devices and computer readable media for communications. A method implemented at a terminal device comprises receiving, at the terminal device from a network device, first information about a first Artificial Intelligence (AI) model. The method also comprises applying, based on the first information, the first AI model to a first use case associated with the first AI model. The first use case comprises at least one of the following: mobility management for the terminal device, uplink resource allocation for the terminal device, channel state information (CSI) feedback enhancement, beam management, positioning accuracy enhancement, or reference signal (RS) overhead reduction.
A control device generates a state sequence including a plurality of states from a state at a movement source to a state at a movement destination of a physical object. The control device determines the occurrence of an error in an operation of a robot based on a result of comparing the state of the generated state sequence with a state of the physical object during the operation of the robot operating according to the state sequence. The control device changes the state sequence so that a recovery operation for recovering from the error is performed in a case where it is determined that the error has occurred.
An optical coherence tomography analysis apparatus includes: an acquisition unit that performs optical coherence tomography by applying a light beam, and that acquires three-dimensional luminance data about the skin; a position extraction unit that extracts an epidermis position, for each tomography image obtained by scanning in a fast axis direction of the light beam, in the three-dimensional luminance data about the skin; a connection unit that generates connected three-dimensional data, by adjusting relative positions between tomography images and connecting the tomography images, on the basis of an extraction result of the epidermis position; a flattening unit that generates flattened three-dimensional data, by performing transformation processing of flattening epidermis on the connected three-dimensional data, on the basis of an extraction result of the epidermis position; and a pattern extraction unit that extracts a pattern of the skin corresponding to a predetermined extraction depth, from the flattened three-dimensional data.
An analysis apparatus according to an example embodiment of the present disclosure includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to acquire a data set in which a plurality of combinations of a first pattern of one or more elements indicating an access attribute and an access control action associated with the first pattern are defined, and a second pattern of one or more elements indicating an access attribute, and estimate at least one of an order or magnitude of the degree of influence of the second pattern influencing the action by using the data set and the second pattern.
An object of the present disclosure is to provide a camera control apparatus, a control method, and a non-transitory computer readable medium which are capable of, even when a plurality of authentication targets are detected, sequentially capturing images of the plurality of authentication targets efficiently in a short time. A camera control apparatus according to the present disclosure includes: detection means for detecting a plurality of authentication targets from an image obtained by capturing a nearby environment; area determination means for determining, for each of the plurality of authentication targets, a part of the image including the authentication target as an area; state determination means for determining a state of the image of each of a plurality of the areas; order determination means for determining an order in which images of the plurality of authentication targets are captured.
H04N 23/611 - Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
G06V 10/98 - Detection or correction of errors, e.g. by rescanning the pattern or by human interventionEvaluation of the quality of the acquired patterns
G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
H04N 23/71 - Circuitry for evaluating the brightness variation
81.
METHOD OF COMMUNICATION APPARATUS, METHOD OF USER EQUIPMENT (UE), COMMUNICATION APPARATUS, AND UE
In the current standard(s), there is no mechanism or procedure to achieve the objective. This disclosure provides a solution to this objective. A method of a communication apparatus includes sending information for requesting a URSP (User Equipment Route Selection Policy) rule, and receiving the URSP rule in a case of sending the information.
A deterioration estimation system according to an aspect of the present disclosure includes: a memory configured to store instructions; and at least one processor configured to execute the instructions to: detect road surface deterioration from a first road surface image; determine, in the first road surface image, a first region where deterioration is detectable and a second region where deterioration is difficult to detect; calculate a degree of deterioration of the first region based on a detection result from the first road surface image; estimate a degree of deterioration of the second region based on a degree of deterioration in road surface deterioration detected from a second road surface image imaged before the first road surface image; and calculate a degree of deterioration of the road surface based on the calculated degree of deterioration of the first region and the estimated degree of deterioration of the second region.
A store information display system comprising: at least one memory storing instructions; and at least one processor configured to execute the instructions to:
acquire, from a mobile terminal possessed by a user, identification information for identifying at least one of the user and the mobile terminal, and location information of the mobile terminal; identify a store visited by the user based on the location information, and associating the store, visit information regarding a visit to the store, and the identification information with each other; and output a store list generated based on the identification information and history information including the visit information.
A communication management device comprising: a collection unit that collects traffic route information indicating traffic route conditions in a predetermined area; a generation unit that generates a map indicating a communication mode to be preferentially used at each position in the predetermined area on the basis of the collected traffic route information; and a provision unit that provides the map to a moving body moving within the predetermined area.
An information processing apparatus (10) according to the present invention includes: an acquisition unit (11) that acquires an image captured at a site where a trouble happens; an information generation unit (12) that detects a person from the image, and also generates information relevant to the detected person, based on the image; and an output unit (13) that outputs the information relevant to the detected person.
The electrocardiogram evaluation device 1X mainly includes an acquisition means 30X, a selection means 31X, and an evaluation means 33X. The acquisition means 30X is configured to acquire electrocardiogram data regarding an electrocardiogram of a subject. The selection means 31X is configured to select, from the electrocardiogram data, lead data of one or more leads corresponding to a target disease of examination. The evaluation means 33X is configured to evaluate the electrocardiogram regarding the target disease based on the selected lead data.
A calibration apparatus trains a first machine learning-based model with a first training dataset to determine configuration parameters of an intermediate pre-distortion compensator in an optical communication system that includes a transmitter, a receiver, and an optical communication channel. The transmitter includes a pre-distortion compensator, the intermediate pre-distortion compensator, and an MZM compensator. The calibration apparatus trains a second machine learning-based model with a second training dataset to determine configuration parameters of the post-distortion compensator in the receiver. The calibration apparatus trains a third machine learning-based model with a third training dataset to determine configuration parameters of the pre-distortion compensator. When generating the second training data, the intermediate pre-distortion compensator is configured with the configuration parameters generated using the first machine learning-based model. When generating the third training data, the post-distortion compensator is configured with the configuration parameters generated using the second machine learning-based model.
A radiowave information output device receives radiowave information for a reception radiowave being a radiowave received by a radiowave sensor, the radiowave information including identification information and position specification information relating to a transmission source of the radiowave, executes collation in such a way as to determine whether reception meta data match with collation meta data, the reception meta data being information included in the radiowave information and being identification information relating to the transmission source of the radiowave, the collation meta data being identification information relating to a transmission source of a known radiowave, estimates, for an unknown radiowave being the reception radiowave whose reception meta data do not match with any piece of the collation meta data, a position of a transmission source of the unknown radiowave, and outputs unknown radiowave information being information relating to a position of the transmission source of the unknown radiowave.
In order to enable to output information for enabling recognizing likelihood of occurrence of radio wave interference more easily, this interference information output device comprises: reception means for receiving, with respect to a plurality of wireless communication terminals, location information being information relating to presence locations of the wireless communication terminals; calculation means for calculating, based on the location information, a degree of congestion of the wireless communication terminals; estimation means for estimating, based on an estimation condition, occurrence of radio wave interference; and output means for outputting interference information being information relating to a result of the estimation. The estimation condition includes a condition relating to the degree of congestion.
A structure investigation assistance system comprises: a first storage unit that stores image data of a road captured continuously by a camera; a second storage unit that stores detailed information about a structure around the road in association with position information about the structure on a map, the detailed information on the structure being configured using point cloud data obtained by 3D scanning the structure; a first selection unit that selects, from the first storage unit, image data targeted for an investigation request in a case where a request for an investigation of the structure is received; a second selection unit that selects, from the second storage unit, detailed information about the structure targeted for the investigation request; and an information presentation unit that presents a map indicating a location of the structure, the image data selected, and the detailed information about the structure.
An object detection system includes: a point cloud missing region extraction means for extracting a point cloud missing region being a region where a point cloud is missing in a three-dimensional point cloud; and an object estimation means for estimating presence of an object, based on the point cloud missing region.
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]Salient regional features
92.
INFORMATION PROCESSING APPARATUS, METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
An information processing apparatus includes a concatenation unit, a concatenation information generation unit, and a tag generation unit. The concatenation unit generates concatenation data obtained by concatenating a plurality of elements of input data consisting of the plurality of elements with one another. The concatenation information generation unit generates, for each of a plurality of message blocks obtained by dividing the concatenation data into blocks each having a predetermined data length, concatenation information about the concatenation of the elements in the message block. The tag generation unit generates a tag for a message authentication code by a block cipher by using each of the plurality of message blocks and each of the concatenation information corresponding to the respective message blocks, the block cipher being a cipher of which an input is a message having the predetermined data length.
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
A first processing apparatus in a digital signature system receives a first parameter generated using a first signing key and first biometric information; a second parameter generated using a second signing key and second biometric information; and a second signature generated with the second signing key for a message. Using at least the first parameter, the second parameter, and the second signature received, the first processing apparatus computes a first signature for the message that is able to be verified using a first verification key corresponding to the first signing key.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
94.
DEMAND PREDICTION DEVICE, DEMAND PREDICTION METHOD, AND RECORDING MEDIUM
A demand prediction device acquires feature information indicating a feature related to a target product, calculates a base demand quantity for the target product for each prediction model by using two or more types of prediction models outputting a demand quantity for a product and the feature information of the target product, receives selection of at least one of the two or more types of prediction models and an operation of a parameter affecting output of the demand quantity for the selected prediction model, and calculates a predicted demand quantity for the target product by using a prediction model reflecting the operation. The present disclosure can be used to support decision making.
Embodiments of the present disclosure relate to methods, devices and computer readable media for communications. According to embodiments of the present disclosure, a terminal device receives a dormancy transmission configuration associated with a plurality of cells serving the terminal device from a network device. The dormancy transmission configuration comprising timing information which indicates at least one of a first duration for an inactive mode of at least one cell of the plurality of cells and a second duration for an active mode of the at least one cell. The terminal device receives a first indication which indicates a first periodicity for a transmission of a tracking reference signal or synchronization signal on the at least one cell during the active mode from the network device. A second periodicity for a transmission of the tracking reference signal or synchronization signal on the at least one cell during the inactive mode is larger than the first periodicity, or the transmission of the tracking reference signal or synchronization signal on the at least one cell during the inactive mode is disabled. The terminal device performs a data communication with the network device via the plurality of cells based on the dormancy transmission configuration.
A crowd type classification system of an aspect of the present invention includes: a staying crowd detection unit that detects a local region indicating a crowd in staying from a plurality of local regions determined in an image acquired by an image acquisition device; a crowd direction estimation unit that estimates a direction of the crowd for an image of a part corresponding to the detected local region, and appends the direction of the crowd to the local region; and a crowd type classification unit that classifies a type of the crowd including a plurality of staying persons for the local region to which the direction is appended by using a relative vector indicating a relative positional relationship between two local regions and directions of crowds in the two local regions, and outputs the type and positions of the crowds.
The present invention is directed to a helmet wearing determination system including a imaging means that is installed in a predetermined position and images a two-wheel vehicle that travels on a road; and a helmet wearing determination means that processes an image imaged by the imaging means, estimates a rider head region corresponding to a head of a person who rides on the two-wheel vehicle that travels on the road, compares image characteristics of the rider head region with image characteristics according to the head at a time when a helmet is worn or/and at a time when a helmet is not worn, and determines whether or not the rider wears the helmet.
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands
G06V 40/20 - Movements or behaviour, e.g. gesture recognition
G08G 1/04 - Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
98.
MACHINE LEARNING DEVICE, MACHINE LEARNING METHOD, AND RECORDING MEDIUM STORING MACHINE LEARNING PROGRAM
This machine-learning device is provided with: a detection unit which detects a loss of consistency with a lapse of time in a determination result for unit data, the determination result being output from a determination unit that generates a learning model to be used when performing prescribed determination for one or more pieces of the unit data that form time series data; and a selection unit which selects, on the basis of the result of detection by the detection unit, unit data to be used as teacher data when the determination unit updates the learning model, thereby efficiently raising the accuracy of the learning model when machine learning is performed on the basis of the time series data.
An information processing device according to the present invention includes: a storage means that stores reference attribute information representing an attribute of a person corresponding to a target place; an extraction means that extracts person attribute information representing an attribute of a person in a captured image obtained by capturing an image of the target place; and a detection means that detects a predetermined person in the captured image based on the reference attribute information and the person attribute information.
NATIONAL UNIVERSITY CORPORATION OKAYAMA UNIVERSITY (Japan)
Inventor
Oana, Seiko
Takahashi, Yasushi
Matano, Tsuyoshi
Nakahara, Ryuichi
Nishida, Keiichiro
Ozaki, Toshifumi
Nasu, Yoshihisa
Abstract
A progress diagram generation apparatus that allows time series to be easily grasped and input contents to be easily checked is provided. In a progress diagram generation apparatus (100) according to an example aspect of the invention, an observation information acquisition unit (101) is configured to acquire observation information related to an observation target, a time series data generation unit (102) is configured to extract date and time information indicating at least one of a date or a time and event information associated with the date and time information from the observation information and structure them to generate time series data, and a progress diagram generation unit (103) is configured to generate a progress diagram including a first axis indicating a time elapsed and a second axis indicating the event information.
