Abstract: An information provision system according to an aspect of the present disclosure includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: collect, from a user terminal, position information of the user terminal and behavior information indicating a movement behavior of the user terminal moving at an acceleration higher than a predetermined value; generate a danger level map representing an attention-seeking place based on a position in which the behavior information is observed on a predetermined map; and provide the danger level map to a predetermined terminal.

Abstract: A camera captures a road. A traffic status acquisition means of an improvement assistance apparatus acquires a camera image from the camera. The traffic status acquisition means acquires a traffic status of a bicycle from the camera image acquired from the camera. A determining means determines an improvement priority of a bicycle lane, based on the traffic status of the bicycle acquired by the traffic status acquisition means and an improvement status of a bicycle lane on the road.

Abstract: An estimation device includes processing circuitry configured to extract a fixed-length feature amount from a payload of communication data, calculate a similarity between feature amounts of abnormal communication data, and determine that events are of a same type when the calculated similarity is greater than a predetermined threshold.

Abstract: A learning apparatus includes: a first estimation unit—configured to learn normal communication data, estimate probability density of the normal communication data, and update a parameter of a model; a clustering unit configured to cluster the normal communication data according to the probability density estimated by the first estimation unit; a second estimation unit configured to perform learning for each of clusters resulting from the clustering by the clustering unit, and estimate the probability density of the normal communication data of the cluster and update a parameter of a model representing characteristics of the probability density of the normal communication data of the cluster by using, as an initial value of the parameter, a parameter having already been learned in the first estimation unit; and an integration unit configured to integrate the estimated probability density of the clusters.

Abstract: A substrate processing apparatus includes: a chamber having a processing space; a base arranged inside the processing space and having an internal space; an electrostatic chuck arranged on the base and including a dielectric member having a support surface, at least one heater electrode layer arranged inside the dielectric member and formed of a first material, and at least one resistive layer arranged inside the dielectric member and formed of a second material, wherein a resistance temperature coefficient of the second material is equal to or greater than that of the first material; a control circuit arranged inside the internal space and configured to control power to be applied to the at least one heater electrode layer; and a detection circuit arranged inside the internal space and configured to detect a voltage applied to the at least one resistive layer.

Abstract: A QD is a Cd-free quantum dot including a core and a shell and configured to emit blue light. The core at least contains Zn and Se. The shell has a film thickness in a range from 0.5 nm to 3 nm, contains Zn, Se, and S in a boundary portion adjacent to the core, and contains Zn and S in an outermost portion.

Abstract: [Object] To provide an electric motor in which a flange portion can be miniaturized in a radial direction while securing a space for fastening a metal member to the flange portion.

Abstract: [Object] To provide an electric motor that is capable of increasing heat dissipation. [Solving Means] An electric motor according to an embodiment of the present invention includes: a cylindrical resin outer shell that includes an opening end portion on one end in an axial direction; a stator that includes a coil and a stator core that are integrally formed with the resin outer shell; a rotor that is disposed on an inner diameter side of the stator; a lid member that is formed of a metal, the lid member including an inner surface portion, an outer surface portion, and a fin portion, the inner surface portion covering the opening end portion of the resin outer shell, the outer surface portion being opposite to the inner surface portion, the fin portion protruding from the outer surface portion in the axial direction; and a metal member that is disposed on an outer peripheral surface of the resin outer shell and is thermally connected to the outer peripheral surface of the resin outer shell and the lid member.

Abstract: 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.

Abstract: Provided an area-specific environment management system, which manages an environment in an individual one of a plurality of areas, the system including: a biological information sensor that acquires biological information about at least one of an individual and a group who belongs to an individual one of the areas; an environmental information sensor that acquires environmental information about an individual one of the areas; an arousal level estimation section that estimates an arousal level with respect to the biological information by using an arousal level estimation model; and an environment provision section that provides an environment to an individual one of the areas based on the arousal level and the environmental information, wherein the arousal level includes, as a state to which the arousal level belongs, a state from sleepy until awakened; a wakeful state; and an excessively wakeful state, and wherein the environment provision section includes an individual control mode corresponding to a stat

Abstract: A road surface marking detection means detects a road surface marking on a road, based on sensor information acquired by sensing a road. An interruption detection means detects a portion where the road surface marking is interrupted, based on a detection result of the road surface marking. A factor determination unit determines a factor for which the road surface marking is interrupted with respect to a portion where a matter that the road surface marking is interrupted is detected.

Abstract: A learning device includes processing circuitry configured to calculate a degree of deviation between a first output obtained by inputting first training data to a learned first model and a second output obtained by inputting second training data created by giving noise to the first training data to a second model, and a degree of deviation between an intermediate representation of the first model generated in a process of obtaining the first output and an intermediate representation of the second model generated in a process of obtaining the second output, and update a parameter of the second model so that the degree of deviation between the first output and the second output and the degree of deviation between the intermediate representation of the first model and the intermediate representation of the second model are reduced.

Abstract: A detection device includes processing circuitry configured to acquire data to be detected and normal reference data, calculate a Learned Perceptual Image Patch Similarity (LPIPS) distance between the acquired data and the reference data, and classify the acquired data into either a Clean Sample or an Adversarial Example by using the calculated LPIPS distance.

Abstract: An object of the present invention is to provide a band estimation device, a band estimation method, and a program capable of calculating a necessary band of a link of a communication system with high accuracy, and ensure the communication quality and improve the band utilization efficiency. In the present invention, a machine learning model is created by learning a set of an upper limit value (line information) of a communication band of each line and observed traffic data for a communication system in which a plurality of lines is accommodated in a link between communication devices, a probability density function of a traffic amount at each time is estimated on the basis of the generated machine learning model and the line information at each time, and an upper limit value of a confidence interval of the estimated probability density function is set as a necessary band.

Abstract: A detection device includes a feature value database configured to store a packet feature value, a label assigned to each packet feature value, and a threshold used for determination in advance. The detection device includes a memory and a processor coupled to the memory. The processor is configured to perform operations including: converting a target packet into a feature value using a first natural language processing model that has been trained using normal communication packets as learning data; assigning a label to the feature value converted using the first natural language processing model, based on the feature value converted using the first natural language processing model and the data stored in the feature value database; and determining whether the target packet has an anomaly based on the assigned label.

Abstract: An analysis server acquires observation information including a transmission source IP address, a transmission source MAC address, a transmission destination IP address, and a transmission destination MAC address in communication from each of sensing devices. The analysis server estimates a topology of a network on the basis of the acquired observation information. On the basis of the estimated topology, an analysis server creates a monitoring list indicating communication that is a target for transmission of the observation information for each sensing device such that any one sensing device on a path of the communication transmits the observation information of the communication for each piece of communication in the network, and transmits the monitoring list to the sensing device. Thereafter, each sensing device transmits the observation information of the communication to the analysis server on the basis of the monitoring list.

Abstract: A learning device acquires learning data of a model predicting a label of input data including an adversarial example. The learning device performs learning of the model using a loss function that flattens a loss landscape with respect to a parameter by adding noise in which KL divergence of a loss value in the model becomes maximum to the parameter of the model and learning data including the adversarial example when the noise is added to the parameter of the model and when the noise is not added.

Abstract: An evaluation device receives input of latent variables of a variational autoencoder, clusters the input latent variables, and assigns, for each cluster, a label indicating the cluster to latent variables belonging to the cluster. After that, the evaluation device performs learning of a classifier so as to accurately classify the latent variables based on the assigned label, performs an adversarial attack resistance evaluation for the classifier after learning, and outputs a result of the resistance evaluation. Thus, the evaluation device can perform an adversarial attack resistance evaluation even for a variational autoencoder that uses unlabeled data as input data.

Abstract: An estimation device includes processing circuitry configured to generate a feature quantity by performing invertible transformation on a payload of a packet character by character with respect to each packet determined to be abnormal or normal by an abnormality detector, and give a determination result as to whether a packet is abnormal or normal to the generated feature quantity, learn a model that classifies whether the packet is abnormal or normal by machine learning using the feature quantity of the payload of the packet and the determination result as to whether the packet is abnormal or normal as teacher data, extract a number of dimensions of the feature quantity in which a contribution degree to classification is equal to or greater than a predetermined value in the learned model, and estimate a cause part of abnormality in the payload of the packet determined to be abnormal.

Abstract: An object of the present invention is to provide a band estimation device, a band estimation method, and a program capable of calculating a necessary band of a link of a communication system with high accuracy, and ensure the communication quality and improve the band utilization efficiency. In the present invention, a machine learning model is created by learning a set of an upper limit value (line information) of a communication band of each line and observed traffic data for a communication system in which a plurality of lines is accommodated in a link between communication devices, a probability density function of a traffic amount at each time is estimated on the basis of the generated machine learning model and the line information at each time, and an upper limit value of a confidence interval of the estimated probability density function is set as a necessary band.