Kabushiki Kaisha Toshiba

Canon Kabushiki Kaisha

Ajinomoto Co., Ltd.

Mitsubishi Electric Corporation

Fuji Jukogyo Kabushiki Kaisha

Max Co., Ltd.

Mitsubishi Denki Kabushiki Kaisha

Komatsu Corporation

Matsushita Electric Industrial Co., Ltd.

Takasago International Corporation

Nissan Motor Company Limited

Shimadzu Corporation

Kyoto University

Toshiba Energy Systems & Solutions Corporation

Toshiba Materials Co., Ltd.

Tsuyoshi Kobayashi

Shinya Sakurada

Masaya Hagiwara

Yosuke Horiuchi

Keiko Okamoto

Tadahiko Kobayashi

Masaki Endo

Yoshihiko Nakano

Tomio Ono

Toshio Masuda

Kenichi Yamamoto

Wu Mei

Naoki Shibata

Akihisa Nakamura

Kenji Hijikata

Katsumasa Igarashi

Masayuki Ushiki

Kouji Kaneda

Satoshi Satomura

Minoru Yuki

Atsushi Atake

Tatsuru Fukuda

Masahito Motoi

Hiroshi Ogiwara

Junzo Shinozuka

Taishi Fukazawa

Hiroshi Oishi

Yoshio Iwakami

Itsuko Mizutani

Toyohide Sunaguchi

Munenori Homma

Akiko Hirao

Yasuharu Hosono

Yohachi Yamashita

Noriko Yamamoto

Hiroshi Yamamoto

Takashi Yamamoto

Mitsunaga Saito

Kazuhiro Itsumi

Shiroh Saitoh

Naoyuki Sanada

Morikazu Kito

Ryota Yoshimoto

Senji Shimanuki

Yukio Iino

Kenji Takehana

Mitsuyo Nagano

Yi-Qun Li

Shinji Aoki

Kouichi Harada

Yasushi Nakagawa

Yu Yamamoto

Kouji Katou

Kohichi Fujita

Mina Farag

Ariko Kodaira

Mutsuki Yamazaki

Yutaka Nakai

Osamu Nasu

Takashi Tsuji

Hirofumi Miyamoto

Mamoru Izumi

Tomohisa Yamaguchi

Katsuhiro Tsutsumi

Harumi Minemura

Shunichiro Nakamura

Sho Senda

Shigetomo Tamai

Masaru Kawachi

Toru Takano

Koichi Furuya

Akira Yamaguchi

Akira Sasaki

Yoshiaki Koizumi

Masaaki Yamamoto

Takashi Kuboki

Koichi Mizushima

Satoshi Takayama

Masataka Kato

Kazuomi Yoshima

Shinichi Hashimoto

Takahiro Sato

Shiori Kaji

Jun Kawanabe

Takao Sawa

Wataru Matsumoto

Ichiro Kusakari

Koichi Ishii

Takashi Kishi

Makoto Matsushita

Masami Okamura

Norihiro Nagai

Takahiro Nagaoka

Akira Kasahara

Yosuke Iwata

Keiichi Fuse

Kozo Okuda

Eiji Saitoh

Tadahiro Hiramoto

Naoyuki Fukuchi

An image processing apparatus is provided that includes: an obtaining unit is configured to obtain a first radiation image of an object to be examined; and a generating unit configured to, by inputting the first radiation image obtained by the obtaining unit into a learned model, generate a second radiation image in which noise is reduced compared to the first radiation image, wherein the learned model is obtained by training using training data that includes a radiation image obtained by adding noise with attenuated high-frequency components.

Image processing apparatus, image processing method, and computer-readable medium

An information leakage prevention shield device includes a control unit to output a frequency setting signal for setting a filter frequency for an electromagnetic wave emitted from a device, and a modulation signal based on a time variation pattern for sequentially instructing a plurality of different transmission characteristics over time, and a dynamic electromagnetic-wave filter having a filter frequency set by a frequency setting signal from the control unit, having the plurality of different transmission characteristics over time set by the modulation signal from the control unit, to transmit an electromagnetic wave other than the filter frequency set by the frequency setting signal, and to have the plurality of different transmission characteristics over time set by the modulation signal with respect to the filter frequency set by the frequency setting signal.

Information leakage prevention shield device

An image processing apparatus comprising a region extraction unit configured to perform region extraction processing of extracting a region from an input image acquired based on a radiographed image, wherein the region extraction unit comprises: a reduction unit configured to perform reduction processing for the input image to generate a reduced image; an inference unit configured to perform inference processing of, using the reduced image as an input, outputting an inferred image obtained by inferring the region in the reduced image; an enlargement unit configured to perform enlargement processing for the inferred image to generate an enlarged image; and a post-processing unit configured to perform post-processing of extracting the region from the enlarged image based on a feature of a shape of the region.

Image processing apparatus, radiation imaging system, image processing method, and non-transitory computer-readable storage medium

An apparatus includes a plurality of pixels each including a conversion element, and a shielding layer covering the conversion element, wherein the shielding layer is provided to cover at least a part of an aperture of the conversion element so that an aperture modulated transfer function (MTF) at a predetermined frequency of a signal obtained from the conversion element becomes less than or equal to a predetermined value.

Apparatus and system

An evaluation system for a work machine includes a work implement, a support unit for the work implement, a cylinder that causes the work implement to move with respect to the support unit, and an evaluation unit that evaluates a degree of fatigue of the support unit based on an axial force of the cylinder.

Evaluation system for work machine and evaluation method for work machine

An image processing apparatus configured to extract an irradiation field from an image obtained through radiation imaging, comprises: an inference unit configured to obtain an irradiation field candidate in the image based on inference processing; a contour extracting unit configured to extract a contour of the irradiation field based on contour extraction processing performed on the irradiation field candidate; and a field extracting unit configured to extract the irradiation field based on the contour.

Image processing apparatus, image processing method, and storage medium for extracting an irradiation field of a radiograph

An FSS unit element includes: multiple conductors extending outward from the central portion of the FSS unit element; and at least one circuit element connected to the multiple conductors at the central portion of the FSS unit element, and disposed with fewer than the number of the multiple conductors.

Frequency selective surface, and electromagnetic wave absorber

A sonic inspection device according to an embodiment includes: a sonic probe that includes a transducer configured to perform at least one of transmitting a sound wave and receiving a sound wave and has a sonic function surface constituting at least one of a transmitting surface of the sound wave and a receiving surface of the sound wave; a contact member that includes a couplant and a sheet-shaped member, the couplant having a first surface, which is in contact with the sonic function surface of the sonic probe directly or while interposing an intermediate member, and a second surface on an opposite side of the first surface, and containing an elastomer, and the sheet-shaped member laminated with the couplant to be in contact with the second surface and containing a polymer; and a loading mechanism configured to apply a load to the contact member.

Sonic inspection device, sonic inspection method, and contact member

According to one embodiment, an ultrasonic probe includes a first member and a first vibrating element. The first member includes at least one selected from the group consisting of metal and ceramic. The first vibrating element includes a first electrode, a piezoelectric layer provided between the first electrode and the first member, and a second electrode provided between the piezoelectric layer and the first member and being in contact with the first member.

Ultrasonic probe and ultrasonic inspection device

A machine learning apparatus for extracting a region from an input image, comprises: an inference unit configured to output the region by inference processing for the input image; and an augmentation unit configured to, in learning when learning of the inference unit is performed based on training data, perform data augmentation by increasing the number of input images constituting the training data, wherein the augmentation unit performs the data augmentation such that a region where image information held by the input image is defective is not included.

Machine learning apparatus, machine learning method, and non-transitory computer-readable storage medium

A sensor includes a first element part having a first member and a first element. The first member is a acoustic tubular waveguide and extends along a first direction. The acoustic tubular waveguide includes a first opening and a second opening. A direction from the second opening toward the first opening is along the first direction. The first element includes a vibratile first membrane, and a first supporter supporting the first membrane. The second opening is between the first opening and the first membrane in the first direction. The sensor may be a Piezoelectric Micro electro mechanical systems Ultrasonic Transducer and may be used for inspecting paper and/or resin including detecting thickness of a fed through banknote and/or the presence of foreign matter thereon such as tape. An optical element may alternatively measure the vibration of a membrane from acoustic through transmission instead of an acoustic receiver.

Acoustic sensor having waveguide and inspection device

A multilayer ultrasonic transducer of an embodiment includes: a plurality of stacked oscillators; external electrodes disposed on outer exposed surfaces of two oscillators disposed in the outermost layers out of the plurality of oscillators; and a plurality of internal electrodes each disposed between two of the plurality of oscillators. There are provided electrode regions in which the plurality of internal electrodes are arranged such that the number of layers of the internal electrodes in a direction in which the oscillators are stacked gradiently increases from an inner region toward an outer peripheral region of the plurality of oscillators, and ultrasonic waves emitted from the plurality of oscillators are focused toward at least the inner region.

Multilayer ultrasonic transducer and ultrasonic inspection device

An ultrasonic inspection device according to an embodiment includes: an ultrasonic transducer which includes at least one oscillator group having a plurality of oscillators in a plurality of regions, each region disposing at least one oscillator; a selector which selects at least one region having one or more of the oscillators to be driven from among the plurality of regions; and a driver which individually drives one or more of the oscillators of the at least one region being selected.

Ultrasonic inspection device

A sonic device in an embodiment includes a sonic transducer unit and a sonic propagation unit. The sonic transducer unit performs at least one of transmitting and receiving a sonic wave, and has a sonic function surface to configure at least one of a wave transmitting surface and a wave receiving surface. The sonic propagation unit includes: a substrate having a pair of electrodes; an electroadhesive element expressing body including a resin crosslinked body arranged on the substrate, and particles dispersed in the resin crosslinked body; and a power supply to apply voltage to the pair of electrodes. The sonic propagation unit is provided on the sonic function surface of the sonic transducer unit, and the electroadhesive element expressing body in the sonic propagation unit comes into contact with a test object.

Sonic device

Growing community of inventors

Kawasaki, Japan

Tsuyoshi Kobayashi