Sony Corporation

Nippon Telegraph and Telephone Corporation

Canon Kabushiki Kaisha

Kabushiki Kaisha Toshiba

Nikon Corporation

Clarion Co

Konami Digital Entertainment Co., Ltd.

Aida Engineering, Ltd.

Nissan Motor Company Limited

Sony Interactive Entertainment Inc.

Amp LLC

Hgst Netherlands, B.v.

Pola Chemical Industries, Inc.

Satoshi Suzuki

Go Igarashi

Shunsuke Kanai

Haruhisa Nozue

Fumika Asai

Naomi Murata

Akira Okita

Kazuaki Akashi

Kohei Asada

Shoji Muramatsu

Takehito Ogata

Tsutomu Horikoshi

Koji Nageno

Masahiro Kiyohara

Masanobu Ohmura

Atsushi Shimizu

Nobuyuki Suzuki

Kazuhito Higuchi

Yasuhide Hosoda

Kazuya Hayase

Tadao Isogai

Atsushi Kamashita

Takaaki Akimoto

Masaharu Nagata

Motohiro Takagi

Yasuhisa Hayakawa

Osamu Fukata

Akira Morimoto

Isao Abe

Seishi Tomonaga

Akira Utagawa

Kenichi Tayama

Yasuhiro Matsui

Hidetomo Sakaino

Toru Koizumi

Takashi Matsuda

Hiroyuki Takimoto

Yukihiro Kuroda

Keiichi Sasaki

Masahiro Juen

Takeshi Ohashi

Shintaro Takenaka

Takamasa Sakuragi

Hisanori Narita

Keisuke Takeda

Makoto Yamagishi

Jo Wada

Naoya Okamoto

Kenji Mizutani

Yushi Yamabe

Naoki Shinmen

Kazuhiro Otsuka

Tomohisa Ishida

Kyosuke Matsumoto

Tokinobu Mitasaki

Tadakatsu Izumi

Takayuki Onishi

Kosei Kamimura

Keiko Yabuki

Hiroyuki Motegi

Akihiro Sueda

Takeshi Suyama

Katsutoshi Ishiwata

Taichi Kasugai

Naoshi Mizumoto

Naoki Ohkouchi

Yukimasa Yamaguchi

Yuji Nagata

Hiroki Muroga

Yasushi Tsuji

Minoru Abe

Takashi Amemiya

Takehito Miyazawa

Shinichirou Tobinaga

Yuta Yahiro

Michinori Shinkai

Masaki Otsuka

Takatoshi Nakahara

Motohiro Takahashi

Tsutomu Takahasi

Tetsuya Funatsu

Masahiro Akiyoshi

Takayuki Yasuno

Takeaki Mori

Shigeki Masui

Koushi Shibata

Taisuke Yakawa

Tomohiro Migita

Noboyuki Suzuki

An image processing device includes an image processing unit configured to execute image processing on an image based on an input image, and output a result of the image processing. The input image is a post-conversion image obtained by performing image conversion on an original image. The image conversion includes image conversion for further reducing a data size of the original image while maintaining a feature acquired from the original image and related to an object similar to a subject captured in the original image and maintaining processing accuracy of the image processing.

Image processing apparatus, conversion apparatus, image processing method, conversion method and program

An aspect of the present disclosure acquires topology information representing a connection configuration between a plurality of apparatuses constituting a communication network and event information representing occurrence statuses of an event by the plurality of apparatuses, estimates, based on the topology information and the event information, a first apparatus corresponding to a failure factor location from among the plurality of apparatuses, estimates, based on an occurrence status of the event by a second apparatus whose connection relationship with the first apparatus estimated is defined by the topology information, whether an occurrence of the event by the second apparatus is caused by the failure factor location or by another anomaly, and estimates, based on a relationship between an occurrence status of the event by the first apparatus and an occurrence status of the event by a third apparatus whose connection relationship with the first apparatus is not defined by the topology information, whether an occurrence of the event by the third apparatus is caused by the failure factor location or by another anomaly.

Anomaly location estimating apparatus, method, and program

According to one aspect of the present invention, when a combination rule of event information to be monitored is created by aggregating a plurality of pieces of event information generated in a network, an information processing device executes: collecting the plurality of pieces of event information; calculating a correlation value for a plurality of combinations of event information including m (m≥3) pieces of event information generated from the plurality of pieces of event information collected; selecting a combination of the pieces of event information for which the calculated correlation value is equal to or higher than a predetermined value, wherein the correlation value increases as the number of times or frequency that the event information included in a combination appears according to the combination increases and also increases as a time interval between the pieces of event information included in the combination decreases; and generating the combination rule on the basis of the event information included in the selected combination.

Combination rules creation device, method and program

To enable more accurate determination of a failure cause event, an event mapping acquiring unit acquires an event mapping file defining a normalized alarm message indicating a normalized alarm content, a resource type indicating an event failure location, an alarm type, and an event type indicating event classification of the alarm in association with one another. An event type conversion unit determines whether input alarm information matches the definition of the event mapping file acquired, when the input alarm information matches the definition, sets the event type to a value defined in the event mapping file, when the input alarm information does not match the definition, sets the event type to the alarm type of alarm information, and registers the event type and the alarm information in association with each other as a failure event in the database.

Rule generation apparatus, rule generation method, and program

As an embodiment of the present invention, a network monitoring apparatus includes a combination rule storage section where a combination rule is registered; and the combination rule includes a combination of a plurality of failure event information to be monitored, and new event information to which the combination of the plurality of failure event information is to be changed. In this state, the network monitoring apparatus collects a plurality of failure event information from network apparatuses; extracts, from the plurality of failure event information collected, a combination of a plurality of failure event information detected to occur within a unit time; and collates the combination of the plurality of failure event information extracted with the combination of the plurality of failure event information defined to be monitored in the combination rule. Then, when the combination of the plurality of failure event information extracted matches in content and occurrence sequence with the combination of the plurality of failure event information defined to be monitored in the combination rule, the network monitoring apparatus adds the new event information included in the combination rule to the combination of the plurality of failure event information extracted, or alternatively, replaces the combination of the plurality of failure event information extracted with the new event information.

Network monitoring apparatus, method, and program

In a failure location identification apparatus according to one embodiment, a facility information management unit records therein facility information including positional information of a physical resource, an external factor information management unit records therein external factor information concerning an external factor that possibly becomes a factor that causes a failure in the physical resource, the external factor information including positional information of the external factor, and a facility influence definition management unit records therein information concerning a possible influence of the external factor on the physical resource. A facility influence determination process unit identifies a failure occurrence location at which the failure is estimated to occur in the physical resource, from the facility information that is recorded in the facility information management unit and has positional information corresponding to the positional information of the external factor information, and outputs failure location information including information indicating the identified failure occurrence location, when it is determined that the external factor information recorded in the external factor information management unit influences the physical resource, on a basis of the information recorded in the facility influence definition management unit.

Damaged part identifying apparatus, method and program

An information analysis apparatus according to an embodiment includes an input unit that inputs information indicating an apparatus that is a fault occurrence location in a communication network and a factor of a fault, a storage unit that stores a restoration handling method rule in which the apparatus that is the fault occurrence location, the factor of the fault, and an appropriate restoration handling method for the fault are associated, and an analyzer that analyzes an appropriate restoration handling method for the apparatus and the factor indicated by the information that is input, based on information related to a past fault for the apparatus that is the fault occurrence location, or a condition inherent in the apparatus that is the fault occurrence location, from the restoration handling method rule.

Information analyzing apparatus, method, and program

In an embodiment of the present invention, a memory stores case performances on anomaly handling of a plurality of apparatuses. A hardware processor performs: identification processing of identifying an anomaly cause of an abnormal apparatus in the plurality of apparatuses; selection processing of selecting an estimation model for estimating a handling method suitable for the anomaly cause from a plurality of estimation models based on the case performance of the abnormal apparatus; estimation processing of estimating a handling method suitable for the anomaly cause among a plurality of handling methods based on the selected estimation model; and output processing of outputting information indicating the estimated handling method.

Abnormality handling support apparatus, method, and program

A photoelectric conversion device includes a plurality of unit pixels each including a charge holding portion to which charges are transferred from four or more photoelectric conversion units. Sensitivity of each photoelectric conversion unit of a first group to incident light is greater than sensitivity of each photoelectric conversion unit of a second group to the incident light. After charge accumulation is started in all the photoelectric conversion units of the second group, charge accumulation is started in the photoelectric conversion units of the first group. After signals corresponding to charges accumulated in all the photoelectric conversion units of the second group are read out, signals corresponding to charges accumulated in the photoelectric conversion units of the first group are read out.

Photoelectric conversion device

In an embodiment of the present disclosure, a prior probability is used by an approach of Bayesian statistics, for all nodes stored in fault handling history data or for a target node for which a fault cause has been identified and all nodes of the same type as the target node, restoration probabilities of handling methods for an identical fault cause are calculated, priorities are set for the handling methods based on the calculated restoration probabilities, and a handling method to be presented is determined in accordance with the priorities.

Anomaly coping support apparatus, method, and program

Provided is a workpiece conveying system configured to convey a sheet-like workpiece to a downstream step, including: a workpiece conveyor configured to lift through attraction holding, by a workpiece holding unit, an uppermost workpiece W of a stack, and convey the uppermost workpiece W of the stack to the downstream step one by one; and a conveyed workpiece number detector configured to detect the number of workpieces W held by the workpiece holding unit at a detection timing, at which the workpiece W held and raised by the workpiece holding unit in accordance with a normal workpiece conveying operation performed by the workpiece conveyor reaches an upper limit position of raising the workpiece W, and at which a moving speed component of the workpiece W in a raising direction is 0.

Workpiece conveying system, conveyed workpiece number detector, and control method for the workpiece conveying system

An image processing device includes an image processing unit configured to execute image processing on an image based on an input image and output a result of the image processing, the input image is a post-conversion image obtained by performing image conversion on an original image, and the conversion includes image conversion for further decreasing a data size of the original image while maintaining a feature quantity used in the image processing and processing accuracy of the image processing.

Image processing apparatus, learning appratus, image processing method, learning method and program

A position determination apparatus for determining, from a first image that is an image including at least a desired first subject, a position of the desired first subject, includes: a feature amount acquisition unit that acquires a first feature amount representing a predetermined feature of the first image; an estimation unit in which a second feature amount representing the predetermined feature obtained from a second image including a second subject is associated with a selected feature map that is a feature map corresponding to the second subject among a plurality of feature maps that are a set of feature maps that are maps representing features of the second image; an estimated first feature map that is estimated by the estimation unit to be associated with the first feature amount: and a position determination unit that determines the position of the desired first subject using the estimated first feature map.

Location determination apparatus, location determination method and computer program

To provide an excellent sound output device which is worn on an ear of a user and used. The sound output device includes a sound generation part and a holding part that has an opening portion and holds the sound generation part in the vicinity of an entrance of an ear canal of a user. The holding part includes a ring body having the opening portion, and a housing of the sound generation part is integrated with a part of the ring body. The sound generation part includes a sound generation element having a dynamic type driver, and has a hollow exhaust part joining with a rear surface of the housing of the sound generation part. The exhaust part extends from a rear surface side of the housing across an intertragic notch and has an exhaust hole outside an auricle.

Sound output device

A sound output device includes a sound generating portion that generates a sound, a sound guiding portion that takes in the sound generated in the sound generating portion from one end, and a holding portion that holds the sound guiding portion in the vicinity of the other end. The holding portion is engaged with an intertragic notch, and supports the sound guiding portion such that a sound output hole of the other end of the sound guiding portion to face a depth side of an ear canal. Even in a state where the listener wears the sound output device, the sound output device does not block an ear cavity of the listener, and the listener can listen to the ambient sound.

Sound output device and sound guiding device

Growing community of inventors

Yokohama, Japan

Satoshi Suzuki