International Business Machines Corporation

Cmo Japan, Co., Ltd.

Hiroki Nishiyama

Hiroki Nakano

Tohru Hasegawa

Tsuyoshi Miyamura

Moon Jung Kim

Hiroshi Itagaki

Terue Watanabe

James Randal Moulic

Yumi Mori

Munehiro Doi

Tadayuki Yoshida

Tomoyuki Taguchi

Ai Okada

Yoshinori Mekata

Kazuhiro Hara

Shunichi Komatsu

Mayumi Yoshitake

Tsukasa Iwami

Provided are an apparatus and method for acquiring information designating a plurality of menu items provided in a meal; reading a characteristic of each of the plurality of menu items provided in the meal, from a menu item database that stores a characteristic for each menu item; generating an classification model for classifying a specified menu item from among the plurality of menu items, based on characteristics of the menu items; acquiring measurement data measured by a sensor attached to a utensil during the meal; and classifying a menu item corresponding to the measurement data, from a characteristic corresponding to the measurement data, using the classification model.

Apparatus and method for estimating actual dietary content of meal of user

A multivolume management method, executed by a computer, includes storing a dataset over a plurality of media storage devices, wherein the plurality of media storage devices has a corresponding plurality of physical identifiers, generating a conversion table that assigns the plurality of physical identifiers to a corresponding plurality of sequentially ordered virtual identifiers, wherein each physical identifier is uniquely assigned to one virtual identifier, receiving a request for the dataset, wherein the request references the plurality of sequentially ordered virtual identifiers, in response to receiving the request, generating a response comprising an ordered list of physical identifiers using the conversion table, and responding to the request with the response. A computer system and computer program product corresponding to the above method are also disclosed herein.

Multivolume group management

The present invention uses a common, hybrid system platform to provide a generalized medical image processing system that can handle the existing medical image application as it is and route the compute intensive medical image processing to a multi-core processor/processing system. The invention allows the processing platform to be shared among healthcare system such as mammography, X-ray, CT Scan MRI, two-photon, laser microscopy, digital pathology, etc. It also allows the processing platform to deliver medical images to a variety of client devices, such as a desktop computer or a handheld device, through the network without high-performance graphical display capabilities because the rendering of the medical images is performed on the Cell BE based platform of the invention.

Hybrid medical image processing

A method and a device for testing an array substrate for a liquid crystal display that allow time for testing to be reduced are provided. An array substrate is divided into two test blocks, and two scanning signal lines in total, one from each of the test blocks, are selected and tested at a time, so that the addresses of possible defective pixels are specified. Then, the array substrate is divided into three test blocks, and three scanning signal lines in total, one from each of the test blocks, are selected and re-tested at a time, so that the addresses of possible defective pixels are specified. Then, the address of a pixel common between the first testing and re-testing is specified as a defective address.

Method and device for testing array substrate

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Chiba-ken, Japan

Hiroki Nishiyama