Abstract:
A structure deterioration detection system according to the present disclosure includes: a sensing optical fiber (10) laid on a structure; a reception unit (201) that receives vibration information detected by the sensing optical fiber (10); an identification unit (202) that identifies a change pattern of a vibration characteristic of each of a plurality of points on the structure, based on the vibration information; and an analysis unit (203) that analyzes a deterioration state of at least one point among the plurality of points, based on a change pattern of a vibration characteristic of each of the plurality of points.
Abstract:
Methods and systems for training and deploying a neural network mode include training a modular encoder model using training data collected from heterogeneous system types. The modular encoder model includes layers of neural network blocks and a selectively enabled connections between neural network blocks of adjacent layers. Each neural network block includes neural network layers. The modular encoder model is deployed to a system corresponding to one of the heterogeneous system types.
Abstract:
The diagnosis device specifies a progression degree relating to a first information processing device for output information output by a first detection device at a first timing with respect to the first information processing device, based on device information indicates a progression degree that represents a degree to which the information processing device is abnormal with respect to the information processing device, determines whether or not information in which a first detection device identifier of the first detection device and the specified progression degree are associated with each other is included in progression-degree information in which a detection device identifier capable of identifying a detection device and the progression degree are associated with each other; and calculates the progression degree relating to the first information processing device according to the specified progression degree when the information is determined to be included in the progression-degree information.
Abstract:
Provided are a rule distribution apparatus, an event processing system, a rule distribution method, and a rule distribution program, with which it is possible to prevent bottlenecking of specific resources in a network, thereby maintaining high service quality. The distribution apparatus is equipped with: a rule receiving unit 11, which receives processing rules that specify an action requested by an application and specify an event condition for execution of the action; and an event generation unit 12, which generates sub-rules that determine all or a portion of one or more attribute conditions included in the event condition of the processing rule, or that change the timing for sending an event, and which generates configuration rules that include an event condition specifying the timing for registration of a sub-rule in a terminal sending an event, and which sends the configuration rules and the sub-rules to a processing apparatus that is capable of communicating with the terminal and is capable of executing the event processing.
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 computer-implemented method for simulating vehicle data and improving driving scenario detection is provided. The method includes retrieving, from vehicle sensors, key parameters from real data of validation scenarios to generate corresponding scenario configurations and descriptions, transferring target scenario descriptions and validation scenario descriptions to target scenario scripts and validation scenario scripts, respectively, to create first raw simulation data pertaining to target scenario descriptions and second raw simulation data pertaining to validation scenario descriptions, training, by an adjuster network, a deep neural network model to minimize differences between the first raw simulation data and the second raw simulation data, refining the first and second raw simulation data of rare driving scenarios to generate rare driving scenario training data, and outputting the rare driving scenario training data to a display screen of a computing device to enable a user to train a scenario detector for an autonomic driving assistant system.
Abstract:
Methods and systems for anomaly detection include determining whether a system is in a stable state or a dynamic state based on input data from one or more sensors in the system, using reconstruction errors from a respective stable model and dynamic model. It is determined that the input data represents anomalous operation of the system, responsive to a determination that the system is in a stable state, using the reconstruction errors. A corrective operation is performed on the system responsive to a determination that the input data represents anomalous operation of the system.
Abstract:
An object is to provide a verification device capable of securely verifying a package with less loads on a developer side. A verification device (100) according to the present disclosure includes a receiving means (1) for receiving, between a distribution server that distributes a distribution package for software development and a terminal device, an installation request for the distribution package transmitted from the terminal device, an acquisition means (2) for acquiring, from the distribution server, the distribution package requested by the received installation request, a construction means (3) for constructing a testing environment consistent with a development environment of the terminal device on the basis of the received installation request, a verification means (4) for performing installation verification of the acquired distribution package by using the constructed testing environment, and a transmitting means (5) for transmitting the acquired distribution package to the terminal device on the basis of a verification result of the installation verification.
Abstract:
An information processing apparatus acquires monitoring data. The monitoring data is data representing an event occurring in the monitoring target system. The information processing apparatus determines whether or not the event represented by the monitoring data is an event to be warned. This determination is made using the determination model. The determination model is a model for determining whether or not the event is a warning target. The information processing apparatus updates the determination model, based on the monitoring data and the result of determination on the monitoring data by using the determination model.
Abstract:
Provided is, for example, a display control apparatus that generates display information with which an event having occurred in an information processing system can be easily determined. This display control apparatus 101 comprises a display control unit 102 that, on the basis of device information indicating a device detected by a first information processing apparatus in an information processing system and communication information indicating communication executed between a second information processing apparatus in the information processing system and a third information processing apparatus in the information processing system: performs displaying on a display apparatus in a manner such that said device and said first information processing apparatus are associated with one another; and performs displaying on said display apparatus in a manner such that said second information processing apparatus and said third information processing apparatus are associated with one another.