Canon Kabushiki Kaisha

Hitachi, Ltd.

Clarion Co

Hitachi Construction Machinery Co., Ltd.

Jvc Kenwood Corporation

Ricoh Company, Ltd.

Nippon Steel & Sumitomo Metal Corporation

Takayuki Uchida

Hideaki Suzuki

Tomoaki Hiruta

Yukihiro Kawamata

Junsuke Fujiwara

Toshiaki Kono

Yasuharu Namba

Yukio Miyazaki

Munetoshi Unuma

Osamu Tomobe

Shinya Yuda

Katsuaki Tanaka

Hisako Murata

Yumi Fujii

Masaya Konishi

Takahiro Gejo

Kuniaki Takachi

Nobuyoshi Hirowatari

Saburo Sugawara

Shigeru Matsuo

Kozo Nakamura

Satoshi Yoshimura

Shuji Tanifuji

Takahiro Fujishiro

Yoshiharu Tenmyo

Shintaro Kobayashi

Yoshimi Kasai

Mikio Bando

Hiroshi Ogura

Tadashi Kamiwaki

Hiroshi Uchida

Nobuhisa Kojima

Hiroto Sasaki

Tetsumori Aikawa

Mitsuo Aihara

Taijiro Matsui

Teruo Nakamura

Kazuki Horiwaki

Shuntaro Hitomi

Hatsuo Taira

Hiroshi Imagawa

Hiroshi Yoshikawa

Akira Ueno

Akihiro Komasu

Shingo Umeda

Shohei Yamagata

Rikiya Tajiri

Yuki Hara

Tsugumichi Owaki

A voice input apparatus includes first to third microphones and a controller. The first microphone collects a voice at a first position outside an ear canal of a speaker, and outputs a first input voice signal. The second microphone collects a voice at a second position outside the ear canal of the speaker and closer to a mouth of the speaker than the first position, and outputs a second input voice signal. The third microphone collects a voice inside the ear canal of the speaker, and outputs a third input voice signal. The controller detects a sound pressure of the first input voice signal, sets reflection degrees of the second and third input voice signals according to the detected sound pressure, and generates an output voice signal including at least one of the second and third input voice signals based on the reflection degrees.

Voice input apparatus, voice input system, and input voice processing method

There is provided a maintenance recommendation system that creates an estimation model of failure modes of a new model of a device only from an occurrence probability of a failure mode. Based on an estimation model for an old model, the occurrence probability of a failure mode where a component is changed from the old model is updated only on a spot of a component change, and this creates an estimation model of failure modes intended for a new model newly commercially available. Thus, the attachment of the inspection result and the failure mode of a faulty facility is learned, an estimation model of failure modes is created to support facility maintenance services for a new model newly commercially available having a small amount of data of inspection results in failure daily reports for difficulty in learning.

Maintenance recommendation system

A condition monitoring system which collects operation data from a machine and monitors a condition of the machine includes: a storage unit that stores information indicating components of a first machine for which a model for a sensor data analysis has been created and components of a second machine for which the model is newly created, information indicating a correspondence relationship between the components of the first machine and the components of the second machine, and information relating to the model; a model creation unit that creates model candidates of the second machine from the model similar to the second machine by using the information stored in the storage unit, and creating information relating to a model candidate selected via an input unit out of the model candidates as the model of the second machine; and a display unit that displays the model candidates.

Condition monitoring system

A fault finding support system is a fault finding support system for instructing a maintenance worker of an appropriate examination location and examination contents using fault knowledge data in which a causal relationship of fault of a target machine is described, the system including: an examination procedure creation unit that creates an examination procedure with respect to the examination location and the examination contents of the target machine using the fault knowledge data, an examination result storage unit that stores an examination history of performing examination using the examination procedure created by the examination procedure creation unit, an update target extraction unit that recommends an update location of the fault knowledge data using the examination history stored in the examination result storage unit, and a user interface that provides a function of displaying a location extracted by the update target extraction unit and updating the fault knowledge data.

Fault finding support system and method

The invention provides a maintenance recommendation system in which an inspection item is presented timely in the halfway of an inspection, accuracy of failure mode identification is improved, a failure mode is identified at an early stage, meanwhile, a time required for investigating a content of the failure is reduced, and a time from device failure to reset is shortened. The maintenance recommendation system includes: a primary storage unit that stores an input inspection result; a failure mode probability calculation unit that is configured to calculate a probability of a failure mode based on the inspection result stored in the primary storage unit; an inspection item search unit that is configured to extract an inspection item with the minimum inspection score from uninspected inspection items; and a main routine operation unit that is configured to narrow down a failure mode candidate and an inspection item candidate from all inspection items.

A maintenance management system includes: a failure information DB that stores at least a failure mode for each of diagnosis target assets; an automatic diagnosis definition DB that stores diagnostic criteria for diagnosing failure modes of the diagnosis target assets; an automatic diagnosis unit that detects or predicts occurrence of a failure mode of a diagnosis target asset, based on a measurement value representing a state of the diagnosis target asset measured by a sensor and the diagnostic criteria; a maintenance method DB that stores in advance a maintenance method corresponding to a failure mode; an automatic diagnosis result log storage unit that records at least a diagnosis result by the automatic diagnosis unit and information regarding an alarm issued; and a maintenance work log storage unit that records at least a maintenance work content performed on the diagnosis target asset and includes a task performance analysis unit.

Maintenance management system and maintenance management confirmation device used for the same

A sound pickup device according to this embodiment includes a microphone part placed at a sound pickup position in close proximity to an ear hole without blocking an ear canal, and positioned so as to face outside of the ear canal, and a wire having flexibility and extending to the sound pickup position. Further, in this embodiment, at least part of the wire is formed along an auricle.

Sound pickup device and sound pickup method

Sensor data immediately after the issuance of an alarm does not exhibit the peculiarity of a failure, with the result that the wrong component is sometimes erroneously identified as the failure component. A failure component identification unit provided in a maintenance device collects an alarm issued when a measurement value exceeds a range of a measurement threshold value in an apparatus being a maintenance target. The failure component identification unit identifies the failure component on the basis of the measurement value exhibiting a condition indicating a peculiarity of the failure. An identification reliability determination unit determines the reliability of the component identification result obtained by a failure component identification unit. When it is determined that the reliability of the identification result is low, a presentation unit presents measures to enhance the reliability of the identification result until the measurement value exhibits a condition indicating the peculiarity of the failure.

Maintenance device, presentation system, and program

There is provided a failure mode specifying system or the like that suitably specifies a failure mode of an apparatus. A failure mode specifying systemincludes a communication portionthat obtains data including a detection value of a sensorwhich is installed in an apparatus, an apparatus structural parameter estimating portionthat estimates a predetermined apparatus structural parameter based on a structure and properties of the apparatus, based on the data which is obtained by the communication portion, a failure mode specifying portionthat specifies a failure mode indicating a kind of failure or failure sign of the apparatus, based on the apparatus structural parameter, and an input-output portionthat presents the failure mode which is specified by the failure mode specifying portion

Failure mode specifying system, failure mode specifying method, and program

A document generation system generates a plurality of form data of a first file format from document data; converts the plurality of form data of the first file format into a plurality of form data of a second file format; causes a display unit to display the plurality of form data of the converted second file format so as to be able to accept a storage request; and, in response to accepting a storage request for the plurality of form data of the second file format displayed on the display unit, combines the plurality of form data of the first file format corresponding to the plurality of form data of the second file format into data of the first file format and store the combined data in a storage unit.

Document generation system, method of controlling the same, and non-transitory computer readable medium

An out-of-head localization filter determination system according to an embodiment includes headphones, a microphone unit, an out-of-head localization device, and a server device. The out-of-head localization device transmits user data based on measurement data to the server. The server device includes a data storage unit configured to store a plurality of first and second preset data acquired for a plurality of persons being measured, a comparison unit configured to compare the user data with the plurality of second preset data, and an extraction unit configured to extract first preset data from the plurality of first preset data based on a comparison result.

Out-of-head localization filter determination system, out-of-head localization filter determination device, out-of-head localization filter determination method, and program

A client terminal includes a first acquisition unit configured to acquire, in response to a user, who has received a service provided by the second service providing apparatus, issuing an instruction for requesting provision of a service by a first service providing apparatus, information indicating a tenant of the first service providing apparatus associated with a community to which the user belongs.

System, service providing apparatus, control method for system, and storage medium

There is provided a system capable of performing cooperation through single sign-on, between a community created for each tenant in one service provision apparatus and a tenant of the other service provision apparatus.

System and method for controlling system

A generation unit is configured to generate a document with a font embedded therein in a case where a determination unit determines that a parameter is an instruction to transmit the generated document to a print service system, and configured to generate a document without the font embedded therein in a case where the determination unit determines that the parameter is not an instruction to transmit the generated document to the print service system.

Document system, control method, and storage medium

An analysis device for time series data from an apparatus to be diagnosed is provided with an accumulation device which accumulates sensor data, operation data, or control data, obtained from the apparatus, while accumulating time information, an algorithm accumulation unit which accumulates algorithms for recognizing behavior of the apparatus, a behavior recognition unit which recognizes behavior of the apparatus by using a recognition algorithm, and a specification unit which specifies a behavioral item to be recognized. A behavior recognition algorithm corresponding to the specified behavioral item is selected from the algorithm accumulation unit; sensor data, operation data, or control data is selected from the accumulation device; start and end times of a selected behavior are recognized by the behavior recognition unit; and the recognized start and end times are associated with time information about data accumulated in the accumulation device.

Analysis method for time series data and device therefor

Growing community of inventors

Tokyo, Japan

Takayuki Uchida