Nippon Steel Corporation

Fujifilm Business Innovation Corp.

Olympus Corporation

Ricoh Company, Ltd.

Fuji Xerox Co., Ltd.

Jun Ando

Hiroshi Shuto

Akifumi Sakakibara

Akane Abe

Tatsuo Yokoi

Shinya Nakamura

Koutarou Hayashi

Manabu Ueda

Daisuke Tatsumi

Teruki Hayashida

Fumi Kosaka

Junichi Shimizu

Masanori Yoshizuka

Akinobu Yamaguchi

Kazumasa Tsutsui

Mutsumi Sakakibara

Tetsu Asato

Shota Endo

Shigeru Fujita

Hiroshi Takemoto

Shigeru Okada

Yusuke Suzuki

Masayuki Yamaguchi

Tadao Michimura

Yoshihiro Morii

Genki Abukawa

Shinichi Ozaki

Shigeo Kobayashi

Shusaku Kubo

Yasuhiro Naoe

Naoyuki Enomoto

Masahiro Iwata

Hiroyuki Okuwaki

Norio Yamamoto

Hiroshi Kaido

Shinsuke Kai

Tatsuya Tsuyuki

Shunsuke Kobayashi

Ryouji Hirai

A hot-rolled steel sheet has, as a chemical composition, by mass %: C: 0.01% to 0.30%; Si: 0.01% to 3.00%; Mn: 0.20% to 3.00%; P: 0.030% or less; S: 0.030% or less; Al: 0.001% to 2.000%; N: 0.0100% or less; and Ni: 0.02% to 0.50%, in which among measurement points at which elemental analysis is performed at a measurement pitch of 1 μm using an EPMA in a region of 250 μm×250 μm on a surface, the percentage of measurement points having a Ni content of 0.5 mass % or more is 10% to 70%.

Hot-rolled steel sheet and method for manufacturing same

This hot-rolled steel sheet has a predetermined chemical composition, in which a metallographic structure contains, by area %, less than 3.0% of residual austenite, 15.0% or more and less than 60.0% of ferrite, and less than 5.0% of pearlite, has a ratio L/Lof a length Lof a grain boundary having a crystal misorientation of 60° to a length Lof a grain boundary having a crystal misorientation of 7° about a <> direction of 0.60 or more, has a standard deviation of a Mn concentration of 0.60 mass % or less, and has a tensile strength of 980 MPa or more.

Hot-rolled steel sheet

This hot-rolled steel sheet has a predetermined chemical composition, and in a case where the thickness is denoted by t, the metallographic structure at a t/4 position from the surface contains one or both of tempered martensite and lower bainite at a volume percentage of 90% or more, the tensile strength is 980 MPa or more, and the average Ni concentration on the surface is 7.0% or more.

An information processing apparatus includes a processor configured to acquire plural scanned images obtained by scanning a bundle of paper media including a plural standard document bundles each of which is a set of a standard document and a related document related to the standard document, extract a title from the plural scanned images, extract, from the plural scanned images, an identifier that is assigned to be common within one standard document bundle and to be different between different standard document bundles, and divide the plural scanned images into bundles such that a scanned image from which the title is extracted is set as a bundle head, scanned images having the same identifier are included in the same bundle, and scanned images having different identifiers are included in different bundles.

Information processing apparatus and information processing method

This hot-rolled steel sheet has a predetermined chemical composition, in which a microstructure contains, by area %, less than 3.0% of residual austenite, 15.0% or more and less than 60.0% of ferrite, and less than 5.0% of pearlite, has a ratio L/Lof a length Lof a grain boundary having a crystal misorientation of 60° to a length Lof a grain boundary having a crystal misorientation of 7° about a <110> direction of less than 0.60, has a standard deviation of a Mn concentration of 0.60 mass % or less, and has a tensile strength of 980 MPa or more.

A hot-rolled steel sheet according to the present invention has a predetermined chemical composition, in which, when a height profile of a surface of the hot-rolled steel sheet is measured in each of five measurement ranges in a rolling direction and a direction perpendicular to the rolling direction, a distance in a height direction from an average height position which is an average of a height position of a point having a highest height position and a height position of a recessed part which is a point having a lowest height position to the recessed part is indicated as R(μm) in each of the height profiles, and an average of heights of two measurement points away from the recessed part in the rolling direction or the direction perpendicular to the rolling direction by 5 μm is indicated as R(μm), an average value of radii of curvature r represented by Expression (1) is 10 μm or more, and a tensile strength of the hot-rolled steel sheet is 500 MPa or more. r=(25+|R−R|)/2|R−R| . . . (1)

This hot-rolled steel sheet has a predetermined chemical composition, in which a metal microstructure contains, by area %, 3.0% or more of residual austenite, has a ratio L/Lof a length Lof a grain boundary having a crystal orientation difference of 52° to a length Lof a grain boundary having a crystal orientation difference of 7° about a <110> direction of 0.10 or more and 0.18 or less, has a standard deviation of a Mn concentration of 0.60 mass % or less, and has a tensile strength of 980 MPa or more.

An image processing method includes generating a first augmented image by applying first data augmentation on an input image, generating a second augmented image by applying second data augmentation on the input image, generating a first output by inputting the first augmented image to a neural network, generating a second output by inputting the second augmented image to the neural network, calculating an output difference indicating a degree of difference between the first output and the second output, and updating a weight coefficient of each layer of the neural network based on the output difference.

Image processing method, training device, and image processing device

An information processing device includes a processor configured to acquire a document image illustrating a document, acquire a related character string associated with a target character string included in the document image, and extract target information corresponding to the target character string from a region set with reference to a position of the related character string in the document image.

Information processing device and non-transitory computer readable medium

An information processing apparatus includes a processor configured to: acquire, from results of character recognition performed on a target image including character strings, attribute information indicating an attribute to which a key character string and a value character string belong, the key character string as a character string specified beforehand as a key and the value character string as a character string indicating a value corresponding to the key character string; acquire by using the attribute information the key character string corresponding to the value character string extracted from the results of the character recognition; and output the key character string and the value character string corresponding to the key character string.

Information processing apparatus and non-transitory computer readable medium

An information processing apparatus includes a processor configured to acquire a manuscript image and an additional image added to the manuscript image, and reduce an image area other than a blank area in the manuscript image so that the additional image fits in the blank area of the manuscript image.

Information processing apparatus and computer program product for reducing an image area or enlarging a blank area of a manuscript so an additional image fits in the blank area

An image processing system includes a memory storing a training image set and a reference image set, and a processor including hardware. The processor is configured to: generate an augmented image set by applying data augmentation to images included in the training image set; and determine an augmentation parameter based on a similarity between an augmentation feature statistic and a reference feature statistic, the augmentation feature statistic being a statistic of a feature of a recognition target calculated based on the augmented image set, the reference feature statistic being a statistic of a feature of the recognition target calculated based on the reference image set.

Image processing system and image processing method

An information processing apparatus includes a processor configured to: acquire an image corresponding to a key character string from a target image in response to the key character string that serves as a character string specified beforehand as a key and is acquired from results of character recognition performed on the target image including character strings; extract, by using results of acquiring the image corresponding to the key character string, from the results of the character recognition a value character string that serves as a character string indicating a value corresponding to the key character string; and output the key character string and the value character string corresponding to the key character string.

A data processing device applies a first convolutional neural network layer to pieces of data included in a mini-batch to obtain a first feature map of each of the pieces of data, independently calculates a first statistic for each of the pieces of data based on the first feature maps, calculates a normalization parameter for each of the pieces of data based on the first statistic of each of the pieces of data and a cumulative statistic, normalizes the first feature map of each of the pieces of data by using a normalization parameter of each of the pieces of data to obtain a normalized feature map of each of the pieces of data, and applies a second convolutional neural network layer to the normalized feature map of each of the pieces of data to obtain a second feature map of each of the pieces of data.

Data processing method and data processing device

This hot-rolled steel sheet has a predetermined chemical composition, in which in a case where the thickness is denoted by t, a metallographic structure at a t/4 position from the surface includes, by area fraction, 77.0% to 97.0% of bainite or tempered martensite, 0% to 5.0% of ferrite, 0% to 5.0% of pearlite, 3.0% or more of residual austenite, and 0% to 10.0% of martensite, in the metallographic structure, the average grain size excluding the residual austenite is 7.0 &#x3bc;m or less, the average number density of iron-based carbides having a diameter of 20 nm or more is 1.0&#xd7;10carbides/mmor more, a tensile strength is 980 MPa or more, and an average Ni concentration on the surface is 7.0% or more.

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Tokyo, Japan

Jun Ando