Abstract: A deformation detection sensor that includes a conductive member, a plurality of thermoplastic resin layers, and a piezoelectric film. At least one of the thermoplastic resin layers has a main surface, and the conductive member is formed on the main surface thereof. The plurality of thermoplastic resin layers are laminated and integrally formed by hot pressing into a laminated body. A transmission line is formed form a first portion of the conductive member and the thermoplastic resin in the laminated body. The piezoelectric film is attached to the laminated body to form a piezoelectric element made of a second portion of the conductive member, the thermoplastic resin in the laminated body, and the piezoelectric film.

Abstract: An image recognition device includes: a plurality of first charge storage circuits that store signal charges generated by photoelectric conversion sections; a plurality of second charge storage circuits that store signal charges generated by the photoelectric conversion sections; a first charge read circuit section that reads a pixel signal and outputs an image as a first image; a second charge read circuit section that reads a pixel signal and outputs an image as a second image; a read circuit selection section that selects one of the first charge read circuit section and the second charge read circuit section; and a feature amount determination section, wherein the feature amount determination section determines a detection target subject according to a feature amount of a subject in the second image, and whether to perform the determination for a subject in the first image is determined based on the determination result.

Abstract: A data processing apparatus includes a reading unit, an extraction unit, and a rewriting unit. The reading unit reads, in a case where an instruction for changing a value of a setting item regarding a service to be provided by the data processing apparatus is issued by a user, a value of the instructed setting item before the change from a predetermined storing region. The extraction unit extracts shortcut information including the value before the change as a parameter value from among plural pieces of shortcut information each including a parameter for shortcut launching of a service to be provided by the data processing apparatus. The rewriting unit rewrites the parameter value included in the extracted shortcut information to a designated value.

Abstract: A multifocal spectrometric device is capable of simultaneously performing a measurement of a plurality of sample with high sensitivity, with no restriction on the magnification. A multifocal spectrometric device is a device in which beams of signal light emitted from a plurality of predetermined observation areas on samples placed in a sample placement section are introduced into a spectrograph and thereby dispersed into spectra, the device including: a plurality of objective lenses (objective light-condensing sections) individually located at positions which respectively and optically face the plurality of observation areas; and spectrograph input sections provided in such a manner that each of the plurality of objective lenses has one corresponding spectrograph input section, for introducing signal light passing through the corresponding objective lenses into the spectrograph.

Abstract: In an image processing apparatus, a first random number seed generation circuit generates a first random number seed corresponding to the line number. An image compression circuit generates compressed data by quantizing addition data acquired by adding up of first image data and a first pseudo random number generated based on the first random number seed and a quantization coefficient. A second random number seed generation circuit generates a second random number seed that corresponds to the line number and is equal to the first random number seed. An image decompression circuit generates decompressed data by dequantizing the compressed data using a quantization coefficient, and generates second image data by subtracting a second pseudo random number equal to the first pseudo random number, which is generated based on the second random number seed and the quantization coefficient, from the decompressed data.

Abstract: A data processing apparatus includes a reading unit, an extraction unit, and a rewriting unit. The reading unit reads, in a case where an instruction for changing a value of a setting item regarding a service to be provided by the data processing apparatus is issued by a user, a value of the instructed setting item before the change from a predetermined storing region. The extraction unit extracts shortcut information including the value before the change as a parameter value from among plural pieces of shortcut information each including a parameter for shortcut launching of a service to be provided by the data processing apparatus. The rewriting unit rewrites the parameter value included in the extracted shortcut information to a designated value.

Abstract: An information processing apparatus includes an acquiring unit that acquires service information items each of which is set to a corresponding one of display components, which are displayed on a service-selection screen and selected when running services, and each of which includes parameter values set for the corresponding service, an extracting unit that refers to one of the service information items which is associated with one of the display components selected on the service-selection screen as a result of performing a certain search-execution operation and that extracts services related to the one of the services, and a display controller that performs control in such a manner that the display components that are to be selected for running the extracted services are displayed on a related-service display screen.

Abstract: An image processing device includes an input reception section that receives a learning image and a correct answer label, a processing section that performs a process that generates classifier data and a processing target image, and a storage section. The processing section generates the processing target image that is the entirety or part of the learning image, calculates a feature quantity of the processing target image, generates the classifier data based on training data that is a set of the feature quantity and the correct answer label assigned to the learning image that corresponds to the feature quantity, generates an image group based on the learning image or the processing target image, classifies each image of the image group using the classifier data to calculate a classification score of each image, and regenerates the processing target image based on the classification score and the image group.

Abstract: An image recognition device includes: a plurality of first charge storage circuits that store signal charges generated by photoelectric conversion sections; a plurality of second charge storage circuits that store signal charges generated by the photoelectric conversion sections; a first charge read circuit section that reads a pixel signal and outputs an image as a first image; a second charge read circuit section that reads a pixel signal and outputs an image as a second image; a read circuit selection section that selects one of the first charge read circuit section and the second charge read circuit section; and a feature amount determination section, wherein the feature amount determination section determines a detection target subject according to a feature amount of a subject in the second image, and whether to perform the determination for a subject in the first image is determined based on the determination result.

Abstract: An image processing device includes an input reception section that receives a learning image and a correct answer label, a processing section that performs a process that generates classifier data and a processing target image, and a storage section. The processing section generates the processing target image that is the entirety or part of the learning image, calculates a feature quantity of the processing target image, generates the classifier data based on training data that is a set of the feature quantity and the correct answer label assigned to the learning image that corresponds to the feature quantity, generates an image group based on the learning image or the processing target image, classifies each image of the image group using the classifier data to calculate a classification score of each image, and regenerates the processing target image based on the classification score and the image group.

Abstract: A production apparatus for producing an electricity storage material is provided. The electricity storage material includes at least a thickener and an active material. The production apparatus includes a solution production device and a mixture-kneading device. The solution production device produces a surfactant-containing solution of the thickener. The mixture-kneading device kneads the solution together with a powder of the active material.

Abstract: The present invention provides an apparatus having a sample separation unit, a Raman spectroscopy unit, and a mass spectrometry unit. The present invention further provides a method for specifying a biomolecule and a method for identifying the binding site of the biomolecule and the low-molecular-weight compound, comprising a combination of Raman spectroscopy and mass spectrometry. The present invention further provides a surface-enhanced Raman spectroscopy method with improved sensitivity.

Abstract: An information processing apparatus includes a document image obtaining unit, an attribute information obtaining unit, and a document-with-coded-image generating unit. The document image obtaining unit obtains a document image by scanning a document arranged in a specific format. The attribute information obtaining unit obtains attribute information on the document from character information written in a location specified based on the format of the document. The document-with-coded-image generating unit generates a document with coded image including a coded image based on the attribute information and document information that indicates contents of the document.

Abstract: Image processing apparatuses and methods of processing color image data that perform overdrive are provided. The apparatuses include a restoration block that restores R-, G-, and B-element values of respective pixels of previous one of successive frames based on Y-element values of the respective pixels of the previous one of the successive frames and the color image data of a current one of the successive frames. The apparatus further includes a correction block that compares the R-, G-, and B-element values of the respective pixels of the previous one of the successive frames that the restoration block restored and R-, G-, and B-element values of corresponding pixels of the current one of the successive frames and generates the corrected color image data.

Abstract: Progress management of analysis task is performed in CAE analysis. A system is provided in which a plurality of terminal apparatuses 10A, 10B and 10C storing an analysis procedure of CAE analysis as a program are connected to a management apparatus 20 managing a state of progress of CAE analysis via a communication network N. The management apparatus 20 generates progress management information in which an analysis task of CAE analysis is divided into a plurality of steps and transmits the progress management information to each of the terminal apparatuses 10A, 10B and 10C. Each of the terminal apparatuses 10A, 10B and 10C transmits to the management apparatus 20 progress state information of analysis task for one or a plurality of steps allocated to the terminal apparatus at a predetermined timing in accordance with the received progress management information.

Abstract: Image processing apparatuses and methods of processing color image data that perform overdrive are provided. The apparatuses include a restoration block that restores R-, G-, and B-element values of respective pixels of previous one of successive frames based on Y-element values of the respective pixels of the previous one of the successive frames and the color image data of a current one of the successive frames. The apparatus further includes a correction block that compares the R-, G-, and B-element values of the respective pixels of the previous one of the successive frames that the restoration block restored and R-, G-, and B-element values of corresponding pixels of the current one of the successive frames and generates the corrected color image data.

Abstract: An optical scanner that performs scanning by deflecting plural light beams using a single deflector. The optical scanner includes plural pre-scanning optical systems configured to emit the plural light beams and each including a light source. A first of the pre-scanning optical systems emits a first of the light beams to be deflected by the deflecting unit. A second of the pre-scanning optical systems emits a second of the light beams and is disposed in the position different from a position of the first pre-scanning optical system in a rotational axis direction of the deflector.

Abstract: An optical scanner that performs scanning by deflecting plural light beams using a single deflector. The optical scanner includes plural pre-scanning optical systems configured to emit the plural light beams and each including a light source. A first of the pre-scanning optical systems emits a first of the light beams to be deflected by the deflecting unit. A second of the pre-scanning optical systems emits a second of the light beams and is disposed in the position different from a position of the first pre-scanning optical system in a rotational axis direction of the deflector.

Abstract: Progress management of analysis task is performed in CAE analysis. A system is provided in which a plurality of terminal apparatuses 10A, 10B and 10C storing an analysis procedure of CAE analysis as a program are connected to a management apparatus 20 managing a state of progress of CAE analysis via a communication network N. The management apparatus 20 generates progress management information in which an analysis task of CAE analysis is divided into a plurality of steps and transmits the progress management information to each of the terminal apparatuses 10A, 10B and 10C. Each of the terminal apparatuses 10A, 10B and 10C transmits to the management apparatus 20 progress state information of analysis task for one or a plurality of steps allocated to the terminal apparatus at a predetermined timing in accordance with the received progress management information.

Abstract: A CAE analysis navigation system in which a plurality of terminal apparatuses 10 storing an analysis procedure of CAE analysis as a program are connected via a communication network, is provided. The terminal apparatus 10 comprises a display section of displaying an analysis procedure screen for an object, a general-purpose analysis procedure file section 62a of storing a general-purpose analysis procedure program in which a procedure of CAE analysis applied in common to various analysis objects is navigated, and a computation section 61 of executing analysis calculation with respect to a specific object based on the general-purpose analysis procedure program stored in the general-purpose analysis procedure file section 62a. The plurality of terminal apparatuses 10 perform the analysis procedure of the CAE analysis with respect to an analysis object in accordance with separate entries through the terminal apparatuses 10, simultaneously and in association with each other via the communication network.