Abstract: A communication route setting device 100 of the present invention includes an optical signal acquisition unit 121 that acquires an optical signal on a transmission path in a network in which optical communication devices are connected to each other via an optical transmission path, a condition determination unit 122 that determines a physical condition of at least one object of the optical transmission path and the optical communication devices on the basis of the optical signal, and a route setting unit 123 that sets a communication route for transmitting the optical signal on the network on the basis of the determined physical condition.

Abstract: A time-series data processing system 100 according to the present invention includes a comparison unit 121 configured to compare a feature amount of each of pieces of partial time-series data in a plurality of specific periods at different positions on a time axis in first time-series data and a feature amount of each of pieces of partial time-series data in a plurality of periods located in correspondence with a positional relationship among the plurality of specific periods in second time-series data, and a detection unit 122 configured to detect a specific state in the second time-series data based on a result of the comparison.

Abstract: In order to attain an object of providing a technique to, upon detection of an abnormality in a welded part, provide notification of a factor of the detected abnormality, an abnormality diagnosis apparatus includes: an acquisition means (21) for acquiring time series data containing at least one of an electric current value and a voltage value at first welding; an abnormality determination means (22) for determining, with use of an abnormality determination model and based on the time series data acquired by the acquisition means, whether or not there is an abnormality in a welded part at the first welding; and an output means (23) for, if the abnormality determination means has determined that there is an abnormality, outputting the determination result and at least one of a factor of the abnormality and a remedial method for solving the abnormality.

Abstract: In an information processing device, a provision means provides multiple terminals with a common search model. A filter acquisition means acquires, from each terminal, a filter configured by a feature value obtained using the search model. A data acquisition means acquires, from each terminal, a target time series data subjected to state estimation. A estimation means estimates a state of the terminal which outputted the target time series data, based on the target time series data and the filter.

Abstract: A policy evaluation apparatus (2000) acquires, with respect to each of a plurality of control groups (10) including an evaluation target group, control policies (20). Each of the control policy (20) indicates execution permission/non-permission of an application. Further, the policy evaluation apparatus (2000) compares an evaluation target policy being the control policy (20) of the evaluation target group with other plurality of control policies (20), and generates evaluation information (30) based on the comparison result.

Abstract: In order to attain the object of providing a technique that allows a process of constructing a model to be presented in an easily understandable manner, a model generation assistance apparatus includes: an acquisition section that acquires trial information including a parameter used in a trial in a process of constructing an AI model; an inference section that infers association between a plurality of trials on the basis of a difference between respective pieces of trial information of the plurality of trials; and an output section that outputs display data including (i) a plurality of nodes respectively representing the plurality of trials and (ii) a link representing the association.

Abstract: A learning device 100 according to this invention includes: a classification unit 121 configured to classify measurement value data measuring performance of an object on the basis of situation data each representing a situation of the object when the measurement value data are measured; a selection unit 122 configured to select the measurement value data from each of the classifications according to the number of the measurement value data for each of the classifications; and a learning unit 123 configured to perform machine learning on the basis of the selected measurement value data.

Abstract: In a model optimization device for a parameter estimation concerning optical communications, A model acquisition acquires a trained model. A data acquisition means acquires data from a terminal device. A model update means performs a model update of the trained model step by step to generate an updated model based on the data. A model output means outputs to an output destination device corresponding to the terminal device.

Abstract: An information processing apparatus (10) includes acquisition means (11) for acquiring information indicating a defect of a first relay apparatus (20), and control means (12) for changing at least one of a setting of the first relay apparatus regarding communication and a setting of a second relay apparatus (20) regarding communication based on the information acquired by the acquisition means, the second relay apparatus being configured to communicate with the first relay apparatus.

Abstract: The present invention reduces the load on a user when performing remote machine diagnosis. An acquisition unit (11) acquires time-series data obtained from equipment of the machine, a prediction unit (12) predicts the state of the machine on the basis of the time-series data, a search unit (13) uses the time-series data as a query to search a knowledge database, storing records of past diagnoses, for knowledge information related to the state of the machine, and a provision unit (14) provides the prediction result and the knowledge information.

Abstract: An abnormality detection apparatus (2000) detects a start of a predetermined operation in a terminal (10). The abnormality detection apparatus (2000) acquires reference information (30) representing a reference of abnormality detection of the terminal (10) after the predetermined operation is started. After it is detected that the predetermined operation is started, the abnormality detection apparatus (2000) detects abnormality of the terminal (10) by using the acquired reference information (30).

Abstract: A state estimation device includes an acquisition unit, an extraction unit, an estimation unit, and an output unit. The acquisition unit acquires first time series data pertaining to a generation environment of the targeted chemical substance. The extraction unit extracts a feature amount of the first time series data. The extraction unit extracts a feature amount of the first time series data. The estimation unit estimates, based on the feature amount of the first time series data, the state of the targeted chemical substance by using an estimation model trained, through machine learning, on the relationship between the state of the targeted chemical substance in the generation process and a feature amount of second time series data pertaining to the generation environment. The output unit outputs the estimated state.

Abstract: A learning model is trained so that a signal state can be estimated with high accuracy even in a case where a constellation on a complex plane is rotated. A learning apparatus (1) includes: an acquisition section (11) that acquires a constellation of a known state optical signal transmitted through optical fiber; a generation section (12) that generates a corrected constellation obtained by rotating the constellation on a complex plane; and a learning section (13) that uses the constellation and the corrected constellation to train a learning model.

Abstract: At least one processor included in an optical signal state estimation apparatus carries out: an acquisition process for acquiring a constellation of an optical signal; a generation process for generating time series data in which pieces of histogram information are arranged in time series, the histogram information being obtained by counting the number of signal points of the constellation, the signal points being included in each of grids obtained by dividing an in-phase component direction and a quadrature component direction into a specific number of rows and the specific number of columns, respectively; and an estimation process for estimating a state of the optical signal by inputting the time series data to a learned model.

Abstract: To extract data-for-machine-leaning so as to enable accurate detection of an abnormality while reducing normal state patterns in a mobile network. A learning data extracting apparatus includes: an issuing section that issues a network service use request which is to be processed by cooperation of a plurality of communication apparatuses constituting C-plane; an obtaining section that obtains, as pieces of candidate learning data, time series data of information relating to the plurality of communication apparatuses; and an extracting section that extracts, as data-for-machine-leaning, a piece of candidate learning data with which the process in response to the network service use request has been successfully ended, from among the pieces of candidate learning data.

Abstract: A time-series data processing system 100 according to the present invention includes a comparison unit 121 configured to compare a feature amount of each of pieces of partial time-series data in a plurality of specific periods at different positions on a time axis in first time-series data and a feature amount of each of pieces of partial time-series data in a plurality of periods located in correspondence with a positional relationship among the plurality of specific periods in second time-series data, and a detection unit 122 configured to detect a specific state in the second time-series data based on a result of the comparison.

Abstract: A surveillance device according to the present invention includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations includes: calculating, based on a value of a parameter that is contained in a received data frame and represents a state of an apparatus, a change in the state of the apparatus; and determining whether the change is included in an allowable range determined in accordance with the state of the apparatus before the change.

Abstract: A vehicle monitoring system according to the present disclosure includes: an optical fiber for sensing (10) laid on a road (40); a vehicle passage detection unit (30) configured to detect that a vehicle (50) has passed a predetermined location on the road (40); an identification unit (202) configured to identify the vehicle (50) that has passed the predetermined location as a vehicle-to-be-monitored; and a reception unit (201) configured to receive sound information unique to the vehicle-to-be-monitored detected by the optical fiber for sensing (10), in which the identification unit (202) identifies the vehicle-to-be-monitored based on the sound information unique to the vehicle-to-be-monitored.

Abstract: An extraction device includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: sort each set of frames that have the same identifier associated with a node, into frames maintaining a cycle and frames out of the cycle; and extract, as an event rule, a feature of a bit change in a data field related to an event occurrence, from the frames that have the same identifier and are out of the cycle.

Abstract: An execution control system (2000) determines whether to permit execution of a target application (30). The determination includes first determination and second determination. The second determination is performed when the first determination cannot determine whether to permit the execution of the target application (30). The execution control system (2000) executes the target application (30) in a protected environment after the first determination is finished and while the second determination is performed.