Nippon Telegraph and Telephone Corporation

Fujifilm Corporation

Mitsubishi Electric Corporation

Nippon Hoso' Kyokai

Celsys Co., Ltd.

Osamu Mizuno

Shinya Nakajima

Kazuhiro Yoshida

Tetsuo Tanaka

Suehiro Shimauchi

Kana Eguchi

Tsutomu Yabuuchi

Raizo Maeda

Satoshi Takahashi

Shinichi Sakaida

Kota Hidaka

Shigeki Sagayama

Hisakatsu Kawarai

Yosuke Kawakami

Yoshiaki Shishikui

Haruhiko Kojima

Hidetaka Kuwano

A sensor includes three structures, a measurer to measure a resistance value, an analyzer to identify the type of a corrosive gas present in an environment based on the resistance value and corrosion resistance information of the three structures, and a notification device. The three structures include a first structure, a second structure, and a third structure. The magnitude relation in corrosion resistance between the three structures differs between a first environment, a second environment, and a third environment. The corrosive gas of the first type is present and the corrosive gas of the second type is not present in the first environment. The corrosive gas of the second type is present and the corrosive gas of the first type is not present in the second environment. The corrosive gas of the first type and the corrosive gas of the second type are both present in the third environment.

Sensor and electric device with the sensor

The corrosion detection sensor detects corrosion to an electrical apparatus caused by a corrosive gas. The corrosion detection sensor includes a metal thin film to be corroded by the corrosive gas, a resistive element connected in series to the metal thin film, a resistance measuring instrument that measures a combined resistance of the metal thin film and the resistive element, and a notification unit that outputs a detection result indicating that the combined resistance measured by the resistance measuring unit is greater than a predetermined reference resistance. The reference resistance is determined according to a danger level indicating that the electrical apparatus is corrosively damaged by the corrosive gas.

Corrosion detection sensor, electrical apparatus including the same, and method of detecting corrosion

The purpose of the present invention is to accurately identify an appearance position of a desired waveform pattern. A signal feature extraction apparatus extracts a feature peak value of a waveform pattern from an output signal of a feature extraction filter that extracts a waveform pattern of an input signal. A local maximum value detection partstores a time index and a value of the output signal when an absolute value of the output signal is equal to or more than a predetermined threshold value and takes a local maximum value. A feature peak value selection partselects a feature peak value on the basis of a difference between a time interval between the stored time index and a time index of a feature peak value selected immediately before and an average time interval at which the feature peak value can occur, and a difference between a logarithmic amplitude and phase of the output signal corresponding to the stored time index and an average logarithmic amplitude and average phase that the feature peak value can take.

Signal feature extraction apparatus, signal feature extraction method, and program

The purpose of the present invention is to reduce leakage of an output signal between band-pass filters and in the time axis direction. A signal input partvectorizes an input signal x(n). An extended impulse response matrix generation partgenerates an extended impulse response matrix Hin which impulse response vectors using impulse response sequences of band-pass filters as elements are extended in the time axis direction. An expansion coefficient calculation partcalculates an expansion coefficient vector {circumflex over (&#x2003;)}y(n) using an input signal vectorsx(n) and the extended impulse response matrix H. A signal output partoutputs at least one of expansion coefficients corresponding to a center vector of the extended impulse response matrix Hof the expansion coefficient vector {circumflex over (&#x2003;)}y(n).

A scheme to judge emphasized speech portions, wherein the judgment is executed by a statistical processing in terms of a set of speech parameters including a fundamental frequency, power and a temporal variation of a dynamic measure and/or their derivatives. The emphasized speech portions are used for clues to summarize an audio content or a video content with a speech.

Speech processing method and apparatus for deciding emphasized portions of speech, and program therefor

Extracting a branch structure and a surrounding structure area in which a surrounding structure of the branch structure exists from a three-dimensional medical image, setting an attention branch structure in the branch structure, estimating an attention surrounding structure area functionally associated with the attention branch structure from the surrounding structure area based on the branch structure, obtaining an evaluation value in the attention surrounding structure area, and generating a mapped image which is an image generated by mapping the evaluation value in the attention surrounding structure area to a morphological image representing morphology of at least one of the attention branch structure and the attention surrounding structure area.

Medical image processing apparatus and method, and computer readable recording medium on which is recorded program for the same

Plural points present on a boundary surface dividing a subject are set as input points. A plane approximating the boundary surface is determined as a reference plane by using the input points. Plural supplementary points are set on the reference plane on the outside of the subject. A surface approximating the boundary surface is generated by interpolating points between the input points by using the supplementary points and the input points. The subject is divided into separate regions by using the generated surface as a boundary surface.

Image-based diagnosis assistance apparatus, its operation method and program

A method of detecting a pleural plaque candidate from a medical image, which includes the steps of obtaining a medical image representing a subject, extracting a lung field area from the obtained medical image, comparing a contour of the extracted lung field with a comparison contour obtained by causing an active curve, having an initial shape in the lung field area and repeats deformation according to a certain deformation trend, to converge after repeating the deformation and detecting a depressed portion of the lung field, and determining the detected depressed portion as a first pleural plaque candidate.

Medical image processing apparatus, method, and program

Extracting a lung field area and a branch structure area from a three-dimensional medical image, dividing a branch structure local area representing a portion of the branch structure area into a plurality of branch structure local sub-areas and estimating a lung field local sub-area in the lung field area functionally associated with each divided branch structure local sub-area based on the branch structure area, obtaining a pulmonary evaluation value in each estimated lung field local sub-area, and displaying, in a morphological image representing morphology of at least a portion of the branch structure local area, the pulmonary evaluation value in each lung field local sub-area functionally associated with each branch structure local sub-area in the morphological image superimposed such that correspondence relationship between the pulmonary evaluation value and the branch structure local sub-area in the morphological image is visually recognizable.

Medical image diagnosis assisting apparatus and method, and computer readable recording medium on which is recorded program for the same

A lesion area detection unit detects an abnormal peripheral structure (lesion area), a pulmonary blood vessel extraction unit extracts a branch structure (pulmonary blood vessel) from the three-dimensional medical image, an associated blood vessel identification unit identifies an associated branch structure functionally associated with the abnormal peripheral structure based on position information of each point in the extracted branch structure, and an associated lung parenchymal area identification unit identifies an associated peripheral area (lung parenchyma) functionally associated with the identified associated branch structure based on the position information of each point in the extracted branch structure.

Apparatus, method, and computer readable medium for assisting medical image diagnosis using 3-D images representing internal structure

A method and computer program are provided for implementing a method for cartoonish picturization by generation from three-dimensional object data. The placement of the three-dimensional object, the view point, and the position of an illumination light source are set. The direction in which the three-dimensional object exists is obtained as mask information, the colors indicating the object are obtained as color information, the distance between the object outer surfaces and the view point is object as distance information, and normal vectors of the outer surfaces are obtained as normal vector information. Based on the mask information, the distance information, and the normal vector information, main lines () are plotted () as two-dimensional pixels, a based on the color information and a reference value, textures () differing about the region of the reference value are applied to achieve visual gradation (), and the main lines and textures are combined to generate a two-dimensional image that is a cartoonish picturization to be displayed.

Method and program for generating a two-dimensional cartoonish picturization of a three-dimensional object

An apparatus for coding a binary image representing an object shape includes an inferior symbol detecting unit which decides which one of binary zero and binary one is an inferior symbol that is of smaller occurrence within a given area of the binary image, a divided portion generating unit which divides a rectangular block of the given area into divided portions, a map information generating unit which generates map information for each one of the divided portions, the map information indicating whether a corresponding one of the divided portions has the inferior symbol included therein, and a coding unit which encodes only the divided portions that have the inferior symbol included therein, wherein an identification of the inferior symbol, the map information, and the encoded divided portions are output from the apparatus.

Apparatus and method for coding binary image with improved efficiency

A three-layered prosody control description language is used to insert prosodic feature control commands in a text at the positions of characters or a character string to be added with non-verbal information. The three-layered prosody control description language is composed of: a semantic layer (S layer) having, as its prosodic feature control commands, control commands each represented by a word indicative of the meaning of non-verbal information; an interpretation layer (I layer) having, as its prosodic feature control commands, control commands which interpret the prosodic feature control commands of the S layer and specify control of prosodic parameters of speech; and a parameter layer (P layer) having prosodic parameters which are objects of control by the prosodic feature control commands of the I layer. The text is converted into a prosodic parameter string through synthesis-by-rule. The prosodic parameters corresponding to characters or character string to be corrected are corrected by the prosodic feature control commands of the I layer, and speech is synthesized from a parameter string containing the corrected prosodic parameters.

Method for editing non-verbal information by adding mental state information to a speech message

Method and apparatus for editing/creating synthetic speech message and recording medium with the method recorded thereon

In method for detecting a speech period in a high-noise environment, the variation in the spectrum of an input signal per unit time is calculated over an analysis frame period, and when the frequency of spectrum variation falls in a predetermined range, the input signal of that frame is decided to be a speech signal.

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Tokyo, Japan

Osamu Mizuno