Kabushiki Kaisha Toshiba

Nippon Telegraph and Telephone Corporation

Mitsubishi Electric Corporation

Toshiba Electronic Devices & Storage Corporation

Mitsubishi Heavy Industries Limited

Central Japan Railway Company

Nsk Corporation

Tomoki Watanabe

Yuma Sano

Satoshi Ito

Manabu Nishiyama

Tsuyoshi Tasaki

Ryosuke Aoki

Katsumi Kishida

Tomohiro Yamada

Masahiro Sekine

Akihito Seki

Tatsuo Kozakaya

Tomokazu Kawahara

Kentaro Yokoi

Arinobu Niijima

Takayuki Sugiura

Mayu Okumura

Takashi Isezaki

Takayuki Kawaguchi

Masato Sumiyoshi

Ryuzo Okada

Susumu Kubota

Kaoru Sugita

Masaki Yamazaki

Ryo Nakashima

Reiko Noda

Yusuke Tazoe

Taichi Yoshida

Mana Sasagawa

Yan Song

Takahisa Inui

Yasuyuki Tanaka

Akiyuki Tanizawa

Kazuo Tanaka

Tomoyuki Shibata

Osamu Yamaguchi

Yoshihiro Oba

Yasunobu Yamauchi

Masashi Nishiyama

Shuhei Nitta

Kazuo Sakai

Yukinobu Sakata

Kazuhiro Hayakawa

Mayumi Yuasa

Mitsuru Kanda

Rie Katsuki

Toshiaki Oguchi

Seijiro Yoneyama

Takaomi Murakami

Yasutoyo Takeyama

Quoc Viet Pham

Atsushi Yaguchi

Tsuyoshi Takatani

Tomohiro Nakai

Kana Eguchi

Toshitaka Kimura

Kouichi Maruyama

Kei Kondo

Takuya Miyamoto

Gakuji Kobayashi

Tatsuo Suzuki

Mitsuhiro Takada

Noriyuki Taniyama

Yusuke Imai

Shunsuke Okada

Yoshiya Watanabe

Shinya Uegaki

Koichiro Yamamoto

Takashi Hosobuchi

Wataru Inoue

Hisashi Matsukawa

Yumi Najima

Keiko Kumagai

Hironobu Fukunaga

Yuya Nakamura

Viet Quoc Pham

Shinichiro Tanaka

Nobuhiko Takehara

Hiroki Anzai

Inui Takahisa

A power supply device converts power supplied from a power source to power to be supplied to a load and supplies the converted power to the load from an output terminal. The power supply device includes a capacitor that includes a case, a first terminal exposed outside the case, and a second terminal exposed outside the case. The first terminal is fixed to a busbar. The busbar electrically connects the first terminal to the output terminal of the power supply device. The second terminal is fixed to an electrically conductive support that receives a reference potential.

Power supply device and capacitor

An in-vehicle device includes a housing having an opening, an openable and closable cover disposed over the opening, a sealing member disposed around the opening such that the sealing member is held between the housing and the cover when the cover is closed, at least one first vibration sensor to measure mechanical vibration of the cover, and a degradation determiner to determine whether any degradation occurs in the sealing member. The degradation determiner determines whether any degradation occurs in the sealing member on the basis of the mechanical vibration measured by the at least one first vibration sensor while the cover is closed.

In-vehicle equipment and deterioration determining method

A living body guidance device includes: a measurement unitthat measures biometric information of a user; a stimulus unitthat is installed in contact with the user's body and presents a tactile stimulus to the user; a database unitthat has a relationship between the tactile stimulus presented by the stimulus unit and the biometric information according to the tactile stimulus recorded; an input unitthat sets target biometric information which is target biometric information that is desired of the user to realize; and a control unitthat, when there is a difference between current biometric information which is current biometric information of the user estimated based on the measurement result by the measurement unit and the target biometric information, controls the tactile stimulus presented by the stimulus unit so that the difference is reduced, so as to guide the user so that the current biometric information approaches the target biometric information, based on the relationship recorded in the database unit, by.

Living body guidance apparatus, living body guidance method and living body guidance program

The number n of times of chewing is counted by chewing number of times calculation means () based on a change in the distance l from a photoreflector (), which is received together with time t by measurement value receiving means (). To vary hardness h of a bag () to a stage that can be sensed, according to the number n of times of chewing, a required air pressure is set according to the current number n of times, based on a hardness/air pressure correspondence recording unit () in which stages that have a significant difference therebetween and are stored in association with the number n of times of chewing are recorded. To realize the set air pressure inside the bag (), the amount of sucking performed using a vacuum pumpis controlled by air pressure control means ().

Pseudo food texture presentation device, pseudo food texture presentation method, and program

An embodiment of the present invention is provided with a projective transform model including a plurality of nodes and a projection table, the plurality of nodes each holding a reference vector having a dimension corresponding to the dimension of multi-dimensional data. The projection table indicates the correspondence relation between the number of each node and a coordinate in a two-dimensional space as a projection target of the reference vector held by the node. First in a learning phase, multi-dimensional input data of a positive example and a negative example is acquired, the amplitude characteristic amounts thereof are calculated, and this amplitude characteristic amount data is learned as the reference vectors of the nodes for each sample. Subsequently, the Euclidean distance between coordinates when the nodes learned based on the amplitude characteristic amount data of the positive example and the nodes learned based on the amplitude characteristic amount data of the negative example are projected into the two-dimensional space in accordance with the projection table is calculated, and coordinates in the projection table are updated so that the calculated Euclidean distance becomes equal to or larger than a threshold value.

Multidimensional data visualization apparatus, method, and program

A robot system according to an embodiment includes one or more processors. The processors acquire first input data predetermined as data affecting an operation of a robot. The processors calculate a calculation cost of inference processing using a machine learning model for inferring control data used for controlling the robot, on the basis of the first input data. The processors infer the control data by the machine learning model set according to the calculation cost. The processors control the robot using the inferred control data.

Robot system and driving method

A transformer includes: a base that is a plate-like member and has a first surface and a second surface, a core attached to the first surface of the base, coils wound around the core, coil terminals attached to the second surface of the base, and a cooling unit that is thermally connected to the core and is to release heat transferred from the core. The coil terminals are disposed on the second surface of the base opposite to the first surface of the base to which the core is attached. The cooling unit is disposed on a side of the core opposite to the base.

Transformer and power conversion device

A reliable technology for determining the masticatory side of the user is provided. First and second electromyographic waveforms respectively originating from left and right muscles related to masticatory actions of a user are acquired; a coefficient of correlation between pieces of information respectively extracted from the first and the second electromyographic waveforms is calculated as a first feature value; a second feature value is calculated from a power spectrum obtained by performing frequency analysis on the first electromyographic waveform; a third feature value is calculated from a power spectrum obtained by performing frequency analysis on the second electromyographic waveform; a learning model is generated by associating the first, second, and third feature values with a plurality of labels; and the masticatory side of the user is determined based on first, second, and third feature values calculated from a newly acquired electromyographic waveform and the learning model.

Learning model-generating apparatus, method, and program for assessing favored chewing side as well as determination device, method, and program for determining favored chewing side

According to an embodiment, an information processing device is used for controlling a mobile object. The device includes one or more hardware processors configured to: generate risk information indicating a level of a risk that is caused when the mobile object moves, based at least in part on a position of an obstacle with respect to the mobile object, the risk being indicated for each of a plurality of areas; and generate condition information indicating a condition for performing a countermeasure operation for a risk in accordance with the risk information.

Information processing device, vehicle control device, and mobile object control method

Locking members disposed on a casing of an underfloor device for railway vehicles engage hanging tools disposed on the vehicle, whereby the underfloor device for railway vehicles is attached to the vehicle. The locking member is a hollow locking member that includes a locking part to contact and engage a vertically upper face of part of the hanging tool, a mount part attached to the casing, and a connection part connecting the locking part and the mount part. The locking part is disposed at a position spaced apart from the casing horizontally and vertically upward. The locking part contacts and engages the vertically upper face of part of the hanging tool inserted into a space surrounded by the locking part, the mount part, and the connection part.

Underfloor device of railway vehicle

According to one embodiment, a moving object action registration apparatus includes the following units. The acquisition unit acquires at least one reference image including a first reference image including a marker. The landmark detection unit detects, as a landmark, a feature point indicating a characteristic portion in an environment based on the at least one reference image. The marker detection unit detects the marker based on the first reference image. The calculation unit calculates a relative position between the landmark and the marker. The attribute identification unit identifies an attribute of the marker associated with an action. The registration unit registers the relative position and action information being based on the attribute in a database.

Moving object action registration apparatus, moving object action registration system, and moving object action determination apparatus

According to an embodiment, an information processing apparatus includes an attribute determiner and a setter. Each of acquired first sets indicates a combination of observation information indicating a result of observation of an area surrounding a moving body and position information. The attribute determiner is configured to determine, based on the observation information, an attribute of each of areas into which the area surrounding the moving body is divided, and to generate second sets, each indicating a combination of attribute information indicating the attribute of each area and the position information. The setter is configured to set, based on the second sets, reliability of the attribute of the area of a target second set, from correlation between the attribute of the area of the target second set and the attribute of corresponding areas each indicating the area corresponding to the target area in the areas of the other second sets.

Information processing apparatus and information processing method using correlation between attributes

An information processing apparatus according to one embodiment includes a processing circuit. The processing circuit calculates a first presence probability of an object present around a moving body with positional information measured by each of a plurality of sensors having different characteristics, acquires non-measurement information indicating that the positional information on the object has not been obtained for each of the sensors, and determines a second presence probability of the object based on the first presence probability and the non-measurement information.

Information processing apparatus, vehicle, and information processing method for presence probability of object

According to an embodiment, an information processing apparatus includes a memory having computer executable components stored therein; and a processing circuit communicatively coupled to the memory. The processing circuit acquires a plurality of pieces of observation information of surroundings of a moving body, generates a plurality of pieces of attribute information of the surroundings of the moving body on the basis of the plurality of pieces of observation information, and sets a reliability of the attribute information of the surroundings of the moving body on the basis of correlation of the plurality of pieces of attribute information.

Information processing apparatus, vehicle, and information processing method using correlation between attributes

According to an embodiment, a computing device includes a processing circuitry. The processing circuitry receives an input of tensor data. The processing circuitry sets a window in the tensor data. The processing circuitry compares, for each pair of coordinates in the tensor data within the window, a pixel value at the pair of coordinates with one or more thresholds, and selects a weight value corresponding to a comparison result. The processing circuitry adds the weight values selected for the respective pairs of coordinates to obtain a cumulative value. The processing circuitry derives a value based at least in part on the cumulative value.

Tensor image mapping device, method, and computer program product

Growing community of inventors

Tokyo, Japan

Tomoki Watanabe