Nippon Petrochemicals Company, Limited

Tdk Corporation

Nec Corporation

Hitachi, Ltd.

Tokyo Electron Limited

Konica Minolta, Inc.

Kubota Corporation

Toppan Printing Co., Ltd.

Sony Corporation

Oki Data Corporation

Aisin Corporation

Nagoya University

Ricoh Company, Ltd.

Ntt Docomo, Inc.

Mochida Pharmaceutical Co., Ltd.

Atsushi Sato

Shigenobu Kawakami

Keiji Endo

Hideyuki Dohi

Isoo Shimizu

Hisayuki Abe

Makoto Orikasa

Yuhei Horikawa

Shozo Hayashi

Yasuo Matsumura

Takashi Yamada

Kaoru Yamamoto

Yuichi Orikasa

Takashi Inoue

Naoya Takahashi

Miyuki Yanagida

Takashi Shibata

Kenichi Yoshida

Kenichi Kawabata

Tatsuo Yamaguchi

Mitsuhiro Suzuki

Masato Ishii

Masahiro Mori

Takashi Ota

Takashi Sato

Yukio Sato

Shigeru Kimura

Hitoshi Ohkubo

Takashi Tada

Masaru Takahashi

Junichi Shinohara

Hideharu Moro

Yusuke Muraki

Hisashi Suzuki

Akihiko Kobayashi

Masazumi Arata

Yukiko Nakajima

Akihiko Fujisawa

Shigeharu Suzuki

Minoru Takaya

Takehisa Tamura

Norihiko Nishizawa

Hajime Ikeda

Wasuke Yanagisawa

Masaki Noguchi

Shotaro Tamayama

Kouji Miyata

Hirosato Fujii

Hitoshi Yanagishita

Eiichi Matsuzaka

Shinji Kojima

Susumu Taniguchi

Akiko Seki

Takashi Daitoku

Takuto Yoshida

Tomoyoshi Fujimura

Kazumichi Uchida

Luis Manuel Murillo-Mora

Devendra Dhaka

Hideki Nomura

Harunori Ushikawa

Toshihiro Ikeuchi

Tokuji Ikeda

Kenji Kano

Yoshikazu Murai

Satoshi Narui

Kunio Sugisawa

Tadashi Oshiyama

Ryota Kaga

Yoshinori Maeda

Okitsugu Tsuji

Takafumi Maruyama

Akio Furuse

Takao Kawahara

Tomohiro Katsube

Hideki Tomita

Takayuki Miura

Shu Kambe

Naomasa Yoshida

Yosuke Hayashi

Kanji Mochizuki

Kapik Lee

Keizo Hosoda

Masumi Kameda

Tsuyoshi Ono

Hirokazu Arai

Tetsuo Iguchi

Norihiro Yoshida

Akira Ideno

Michael Jones

Masahiro Iwama

Nagahisa Matsudaira

Hideki Date

Toshinari Oh-Hara

Naoaki Shindo

Hiroki Ueshima

Naomi Yokomizo

Yasuo Fukushima

Katsutoshi Okubo

The information processing apparatus () of the example embodiment 1 includes an acquisition unit (), a modeling unit (), an output unit (). The acquisition unit () acquires a plurality of trajectory data. The trajectory data represents a time-sequence of observed positions of an object. The modeling unit () assigns one of groups for each trajectory data. The modeling unit () generates a generative model for each group. The generative model represents trajectories assigned to the corresponding group by a common time-sequence of velocity transformations. The velocity transformation represents a transformation of velocity of the object from a previous time frame, and is represented using a set of motion primitives defined in common for all groups. The output unit () outputs the generated generative models.

Information processing apparatus, and control method

In a coil component, a shield layer is provided after the unevenness of the surface of an element body is smoothened by the surface being covered with an insulating layer. A Cu layer of the shield layer is provided on a smooth surface, and thus a thickness variation can be suppressed and the Cu layer can be formed with a substantially uniform thickness. In the coil component, a point where the shield layer is thin or a point lacking the shield layer is unlikely to be generated and a functional degradation of the shield layer is effectively suppressed.

Coil component

An electroconductive substrate, including: a base material; a foundation layer disposed on the base material; a trench formation layer disposed on the foundation layer, and an electroconductive pattern layer including metal plating. A trench including a bottom surface to which the foundation layer is exposed, is formed. The trench is filled with the electroconductive pattern layer. The foundation layer includes a mixed region which is formed from a surface of the foundation layer on the electroconductive pattern layer side towards the inside thereof, and contains metal particles which contain a metal configuring the electroconductive pattern layer, and enter the foundation layer.

Electroconductive substrate, electronic device and display device

A method of forming a metal magnetic film includes forming the metal magnetic film by a plating process, wherein the metal magnetic film comprises a permalloy and carbon atoms and a content of the carbon atoms is 0.3 to 3.0 at % based on a total amount of the carbon atoms and metal elements.

Metal magnetic film and magnetic sheet

A learning apparatus includes: an update unit which updates a dictionary used by a classifier; a calculation unit which calculates, by using a dictionary updated and one or more samples with labeling being samples assigned with labels, a ratio to a number of the samples with labeling as a loss with respect to all the samples with labeling; and a determination unit which determines whether to update the dictionary, by using the loss, wherein, when the determination unit determines to update the dictionary, the update unit updates the dictionary by using the samples with labeling added with a new sample with labeling, and wherein the determination unit determines whether to update the dictionary, by using a loss calculated by using the updated dictionary and a loss calculated by using the dictionary before updating with respect to all the samples with labeling before adding the new sample with labeling.

Learning apparatus, learning method, and recording medium

A noise suppression sheet comprises a pair of metal magnetic layers and a non-magnetic metal layer interposed between the pair of metal magnetic layers, and can achieve high magnetic shield characteristics on both surfaces.

Noise suppression sheet

An information processing device which performs semi-supervised learning is provided with: a dictionary input circuit for acquiring a dictionary, a parameter group used by an identification device; a boundary determination circuit which obtains an identification boundary for the dictionary on the basis of the dictionary, supervised data, and labelled unsupervised data; a labelling circuit which labels the unsupervised data in accordance with the identification boundary; a loss calculation circuit which calculates the sum total of supervised-data loss calculated in accordance with the labels assigned in advance and the labels based on the identification boundary, and unsupervised-data loss calculated such that further from the identification boundary the smaller the loss; a dictionary update circuit which updates the dictionary such that the sum-total loss is reduced; and a dictionary output circuit which outputs the updated dictionary.

Information processing device, information processing method, and program

A noise suppression sheet comprises at least one composite layer, the composite layer including: an insulating resin layer; a non-magnetic metal layer formed on the insulating resin layer; and a metal magnetic layer formed on the non-magnetic metal layer, and the composite layer has a through hole. When the noise suppression sheet comprises a plurality of composite layers, the through holes are misaligned in adjacent composite layers in the laminating direction.

A noise suppression sheet comprises a non-magnetic metal layer, a plurality of metal magnetic layers, and a plurality of insulating layers, and the metal magnetic layer and the insulating layer are alternately laminated on the non-magnetic metal layer. The noise suppression sheet can absorb and suppress noise generated from a circuit or the like in an electronic component by being mounted on the electronic component or the like. In the noise suppression sheet, noise is absorbed by each of the metal magnetic layers. Noise that is transmitted without being absorbed by the metal magnetic layer can be reflected by the non-magnetic metal layer and can be absorbed again by the metal magnetic layer, and hence the noise suppression sheet can suppress noise effectively.

A method of producing an electroconductive substrate including a base material, and an electroconductive pattern disposed on one main surface side of the base material includes: a step of forming a trench including a bottom surface to which a foundation layer is exposed, and a lateral surface which includes a surface of a trench formation layer, according to an imprint method; and a step of forming an electroconductive pattern layer by growing metal plating from the foundation layer which is exposed to the bottom surface of the trench.

Method of producing electroconductive substrate, electronic device and display device

A pulse wave detection device detects the face from a frame image and corrects the brightness of the face in accordance with the size of the face surface to appropriately detect a pulse wave even if brightness is changed due to movement of a subject with respect to lighting. The brightness of the face depends on the distance between the lighting and the face, and this is equal to indirect measurement of the distance from the lighting to the face using the size of the face. As described above, a pulse wave detecting device estimates/measures a pulse rate of the subject from a brightness signal after intensity of the brightness of the face photographed on the frame image is corrected using the size of the face, by using the correlation between the size of the face of the subject on the frame image and the brightness of the face.

Pulse wave detection device, vehicle device, and pulse wave detection program

The information processing apparatus () of the example embodiment 1 includes an acquisition unit (), a clustering unit (), a transformation unit () and modeling unit (). Until a predetermined termination condition is determined, the clustering unit () repeatedly preforms: 1) optimizing the posterior parameters for clustering assignment for each data streams; 2) optimizes the posterior parameters for each determined cluster and for each time frame; 3) optimizes the posterior parameters for individual responses for each data stream; 4) optimizes the posterior parameters for latent states, via approximating the observation model through non-conjugate inference. The transformation unit () transforms the latent states into parameters of the observation model, through a transformation function. The modeling unit () generates the model data, which including all the optimized parameters of all the model latent variables, optimized inside the clustering unit ().

Information processing apparatus, method, and program

An image processing device according to an aspect of the present invention includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: extract a cluster image including a cluster of particles from a particle image; estimate particle density of the cluster image; determine numbers based on the particle density, and synthesize a second dictionary image from first dictionary images having densities each being equal to the numbers, the first dictionary images being images of particles of which positions is obtained; match the second dictionary image with the partial image, and determine positions of particles in the cluster image based on a result of the matching and the positions of particles of the first dictionary images; and output the determined positions of particles.

Image processing device, image processing method and storage medium

Provided is a multi-node storage system including a plurality of nodes providing a volume to a computer as a logical storage area, each node including a controller that processes an I/O request from the computer, and including a plurality of NVMe drives PCI-connected to any one of the controllers of the node and a switch that connects the controllers of the plurality of nodes to each other, in which the controller includes a plurality of processors that process the I/O request from the computer and a memory, and the memory includes, for the plurality of NVMe drives, virtual queues which are equal in number to processors of a plurality of controllers constituting the multi-node storage system and real queues that store a command in any one of the plurality of NVMe drives and that are smaller in number than the virtual queues.

Multi-node storage system and queue control method of multi-node storage system

Growing community of inventors

Tokyo, Japan

Atsushi Sato