Abstract: A control system of a mobile body is provided with a data acquiring unit and a failure occurrence probability calculation unit. The data acquiring unit acquires data of a plurality of failure factors which may cause a failure on a mounted product mounted on a mobile body. The failure occurrence probability calculation unit calculates, based on data of the plurality of failure factors, a failure occurrence probability of components corresponding to the data of the plurality of failure factors.

Abstract: A wiring member includes a wiring body and a pattern. The wiring body includes a plurality of wire-like transmission members and a base material. The plurality of wire-like transmission members are fixed to the base material in an aligned state, and the pattern is provided on the wiring body. The pattern makes a two-dimensional position of at least a part of a portion related to the base material recognizable in the wiring body.

Abstract: A display apparatus (100) includes a shelf tag attachment member (102) being fixed to a front end surface of a product shelf S, and a shelf tag (101) having a display surface (103). The shelf tag (101) is attached to the shelf tag attachment member (102) via a rotation axis A, and is rotatable in a predetermined direction in which the display surface (103) is turned upward. A lower end of the shelf tag (101) is located below a lower surface LS of the product shelf S and a lower end of the shelf tag attachment member (102) in a vertical direction.

Abstract: Methods and systems are provided for training a neural network with augmented data. A dataset comprising a plurality of classes is obtained for training a neural network. Prior to initiation of training, the dataset may be augmented by performing affine transformations of the data in the dataset, wherein the amount of augmentation is determined by a data augmentation variable. The neural network is trained with the augmented dataset. A training loss and a difference of class accuracy for each class is determined. The data augmentation variable is updated based on the total loss and class accuracy for each class. The dataset is augmented by performing affine transformations of the data in the dataset according to the updated data augmentation variable, and the neural network is trained with the augmented dataset.

Abstract: Neural network classification may be performed by inputting a training data set into each of a plurality of first neural networks, the training data set including a plurality of samples, obtaining a plurality of output value sets from the plurality of first neural networks, each output value set including a plurality of output values corresponding to one of the plurality of samples, each output value being output from a corresponding first neural network in response to the inputting of one of the samples of the training data set, inputting the plurality of output value sets into a second neural network, and training the second neural network to output an expected result corresponding to each sample in response to the inputting of a corresponding output value set.

Abstract: It provides the measurement data of each portion of the target object with a high accuracy. The measurement data calculation apparatus 1020 includes an obtaining unit 1024A, an extraction unit 1024B, a conversion unit 1024C, and a calculation unit 1024D. The obtaining unit 1024A obtains the image data in which the target object is photographed and the full length data of the target object. The extraction unit 1024B extracts the shape data indicating the shape of the target object from the image data. The conversion unit 1024C converts and silhouettes the shape data based on the full length data. The calculation unit 1024D uses the shape data converted by the conversion unit 1024C to calculate the measurement data of each portion of the target object.

Abstract: An extraction device includes processing circuitry configured to access an entrance URL described in user-generated content generated by a user in a plurality of services in a predetermined period to extract a feature quantity of the user-generated content, perform training by using the extracted feature quantity of the user-generated content generated by a normal user and a feature quantity of content generated by a malicious user, and determine whether or not the user-generated content has been generated by the malicious user using a trained model.

Abstract: A determination device includes processing circuitry configured to calculate a characteristic amount of user-generated content generated by a user in a predetermined period, perform learning by using the calculated characteristic amount of the user-generated content generated by a legitimate user and a characteristic amount of content generated by a malicious user, and determine whether the user-generated content is generated by the malicious user using a learned model.

Abstract: A collection device includes processing circuitry configured to acquire user-generated content generated in each service in a predetermined period, generate a search query by using words that appear in the user-generated content for each service, and collect user-generated content generated in a plurality of services by using the generated search query.

Abstract: A detection device includes processing circuitry configured to acquire user generated content generated in each service in a predetermined period, generate a search query using words appearing in the user generated content for each service, collect the user generated content generated in a plurality of services using the generated search query, calculate a feature amount of the collected user generated content of a predetermined service, perform learning using the feature amount of the user generated content generated by a normal user and a feature amount of content generated by a malicious user, determine whether the user generated content is generated by a malicious user based on a learned model, and access an entrance URL described in the user generated content and output a feature of an attack of the user generated content as threat information when the user generated content is determined to be generated by a malicious user.

Abstract: An automatic analyzer capable of confirming the amount of sample aspirated by a sample dispensing unit is provided. An automatic analyzer that analyzes a sample includes an incubator which holds a reaction container in which a liquid mixture of the sample and a reagent is accommodated, a sample dispensing unit which dispenses the sample by aspirating the sample from a sample container in which the sample is accommodated and storing the aspirated sample in a storage portion and then discharging the sample to the reaction container, and a measurement portion which measures the amount of sample in the storage portion on the basis of a detected signal obtained by detecting light passing through the storage portion while irradiating the storage portion with light.

Abstract: The present inventive concept provided for context aware speech transcription. The method includes obtaining speech corpora for a target domain. A corrected speech corpora is created by editing misused words in the speech corpora with correct words for the target domain. The training sets are prepared based on the speech corpora and corrected speech corpora, and an optimal percentage of the training sets to use for accurate transcription of speech related to the target domain is determined.

Abstract: Creating a summary of a plurality of texts includes tokenizing each of a plurality of texts to obtain tokens; generating a vector space using a first set of vectors having one or more obtained feature scores equal to or larger than a predefined value; executing non-hierarchical clustering using the vector space to generate a first plurality of clusters; choosing a first representative text in each of the plurality of clusters; generating a second set of vectors from each of the arrays generated based on a number of characters included in tokens of the representative texts; executing hierarchical clustering using the second set of vectors to generate a second plurality of clusters; and in response to a determining a number of clusters included in the second plurality of clusters, determining a second representative text for each of the clusters included in the second plurality of clusters.

Abstract: A control apparatus is applicable to a drive system that measures a user's manipulated parameter, and drives a driving unit constituting a mobility device in accordance with a driving quantity determined based on the user's manipulated parameter. The user's manipulated parameter includes at least one of a user's manipulated variable and a user's manipulated setting. In the control apparatus, a storage unit stores at least one mobility parameter that enables the driving quantity to be determined based on the user's manipulated parameter. A parameter acquiring unit acquires parameter information inputted by a user. The parameter information includes at least one of (i) a user's selected at least one mobility parameter and (ii) information related to the user's selected at least one mobility parameter. In the control apparatus, an updating unit updates, based on the parameter information, the at least one mobility parameter stored in the storage unit.

Abstract: A heater according to an embodiment includes: a tubular portion; a sealing portion provided in each of both end portions of the tubular portion; a conductive portion provided inside each sealing portion; a heating portion provided inside the tubular portion, extending along a tube axis of the tubular portion, and including carbons; an inner lead provided in each sealing portion so that one end portion side is connected to the conductive portion and the other end portion side is exposed into the tubular portion; and a connection portion connected to each of both end portions of the heating portion inside the tubular portion. A bent portion is provided in an end portion opposite to the conductive portion in each inner lead. The bent portion is bent in a direction in which the sealing portions face each other and is provided inside a hole of the connection portion.

Abstract: A vehicular breaking force control system that includes a control device including a processor that acquires a plurality of longitudinal accelerations from a driving assistance system, and calculates a driving/braking request when the vehicle is in a coasting state in which an acceleration operation or a deceleration operation are not performed during running of the vehicle. The processor further acquires a driving force lower limit set for a powertrain actuator having a set gear ratio, and distributes the driving/braking request to at least one of (i) a powertrain system including the powertrain actuator and (ii) a brake system including a brake actuator. The driving/braking request is distributed to the at least one of the powertrain system and the brake system based on the acquired driving force lower limit.

Abstract: Image classification using a generated mask image is performed by generating a mask image that extracts a target area from an input image, extracting an image feature map of the input image by inputting the input image in a first neural network including at least one image feature extracting layer, masking the image feature map by using the mask image, and classifying the input image by inputting the masked image feature map to a second neural network including at least one classification layer.

Abstract: A computer-implemented method is presented for automatically generating alerting rules. The method includes identifying, via offline analytics, abnormal patterns and normal patterns from history logs based on machine learning, statistical analysis and deep learning, the history logs stored in a history log database, automatically generating the alerting rules based on the identified abnormal and normal patterns, and transmitting the alerting rules to an alerting engine for evaluation. The method further includes receiving a plurality of online log messages from a plurality of computing devices connected to a network, augmenting the plurality of online log messages, and extracting information from the plurality of augmented online log messages to be provided to the alerting engine, the alerting engine configured to approve and enforce the alerting rules automatically generated by the offline analytics processing.

Abstract: Provided is a control device configured to be able to execute, in an engine which includes a DOC, a DPF, and a temperature increase unit including an exhaust throttle valve, for increasing a temperature of each of the DOC and the DPF, a forced regeneration process of removing PM deposited on the DPF by increasing the temperature of the DPF. The control device includes a flow rate estimation part configured to estimate an intake flow rate of a combustion gas sent into a cylinder of the engine.

Abstract: A vehicular breaking force control system includes: a plurality of actuators capable of generating a braking force for a vehicle; a coasting state detection unit configured to detect that a coasting state has been established; a target braking force calculation unit configured to calculate a target braking force on the basis of a state of the vehicle when the coasting state detection unit detects that the coasting state has been established; and a braking force distribution control unit configured to determine a distribution braking force that is a braking force to be caused to be generated by each actuator, such that the distribution braking force is equal to or less than a braking force generable by the actuator and a sum of the distribution braking forces is equal to the target braking force, and to perform control of causing each actuator to generate the distribution braking force.