Abstract: A determination apparatus includes circuitry to receive operation information corresponding to an action being performed by a machine to be diagnosed and a detection signal of a physical quantity that changes according to the action of the machine; take out, from the detection signal, an operation detection signal indicating that the machine is operating, based on the operation information; extract feature information of the operation detection signal; select, from the feature information, particular feature information to be compared with a plurality of reference feature information; and determine a machining section of the machine in the feature information, based on the plurality of reference feature information and the particular feature information.

Abstract: An information processing apparatus includes a detection result acquisition unit configured to acquire a detection result of a physical quantity that changes as a movable body moves while being in contact with a subject; an image data acquisition unit configured to acquire image data of the subject; and a display control unit configured to control a display to display likelihood information indicating a likelihood of abnormality of the subject and the image data in association with each other. The likelihood is determined based on the detection result.

Abstract: An information processing apparatus includes a detection result acquisition unit to acquire, for each of processes performed on a plurality of workpieces, a detection result of a physical quantity that changes according to processing applied to a workpiece; an identification information acquisition unit to acquire process identification information identifying one of the processes performed on the same workpiece and workpiece identification information identifying one of the workpieces subjected to the same process; and a display control unit to display, on a display, the process identification information and the workpiece identification information; and display, on the display, abnormality likelihood information indicating likelihood of abnormality, determined based on the detection result, of the particular process or the particular workpiece, in association with at least one of the process identification information and the workpiece identification information.

Abstract: A diagnostic apparatus includes circuitry to determine a process number based on operation information that changes in accordance with an operation of a machine being a subject of diagnosis, and determine a state of the machine using corresponding one of a plurality of model parameters corresponding to the determined process number and state information that changes in accordance with the state of the machine. The process number indicates an order of a particular process in a plurality of processes executed by the machine.

Abstract: A diagnostic device includes a reception unit and a determination unit. The reception unit is configured to receive context information and sensing information. The context information corresponds to a certain operation of a target item that constitutes a target device. The context information is a piece of a plurality of pieces of context information each describing an operation of the target item determined depending on a type of operation of the target device. The sensing information is on a physical quantity that varies in accordance with the operation of the target item. The determination unit is configured to determine a state of the target item based on the sensing information detected while the target item is performing the certain operation, and based on a model corresponding to the received context information. The model is a model of one or more models respectively defined for one or more pieces of the context information.

Abstract: A diagnostic device includes a reception unit and a determination unit. The reception unit is configured to receive context information and sensing information. The context information corresponds to a certain operation of a target item that constitutes a target device. The context information is a piece of a plurality of pieces of context information each describing an operation of the target item determined depending on a type of operation of the target device. The sensing information is on a physical quantity that varies in accordance with the operation of the target item. The determination unit is configured to determine a state of the target item based on the sensing information detected while the target item is performing the certain operation, and based on a model corresponding to the received context information. The model is a model of one or more models respectively defined for one or more pieces of the context information.

Abstract: A determination apparatus includes circuitry to receive operation information corresponding to an action being performed by a machine to be diagnosed and a detection signal of a physical quantity that changes according to the action of the machine; take out, from the detection signal, an operation detection signal indicating that the machine is operating, based on the operation information; extract feature information of the operation detection signal; select, from the feature information, particular feature information to be compared with a plurality of reference feature information; and determine a machining section of the machine in the feature information, based on the plurality of reference feature information and the particular feature information.

Abstract: A device includes: a first acquiring unit to acquire context information corresponding to running operation among pieces of context information; a second acquiring unit to acquire detection information output from a detecting unit detecting a physical quantity of a target device; an extracting unit to extract, from the detection information, feature information indicating a feature of the detection information in an interval including a specific operation interval of the target device; a selecting unit to select reference feature information used as reference based on the feature information, and sequentially select pieces of target feature information; a calculating unit to calculate a likelihood of a process interval based on a comparison between the reference feature information and each piece of target feature information; a determining unit to determine whether the target feature information corresponding to the likelihood is included in the process interval based on the likelihood; and an estimating uni

Abstract: Provided is an abnormality detection device with which an abnormality of a machining state of a machine tool can be detected based on information on a section where machining is actually performed in machine tool-based machining. The abnormality detection device detects an abnormality of a machining state of a machine tool machining a workpiece with a tool. The machine tool includes a determination unit determining the machining state by using information related to an actual cutting section in the tool-based machining of the workpiece in the machine tool. The determination unit performs the machining state determination by using a deviation in position and length of a section recognized as the actual cutting section and a physical quantity in the actual cutting section acquired from the machine tool.

Abstract: A device includes: a first acquiring unit to acquire context information corresponding to running operation among pieces of context information; a second acquiring unit to acquire detection information output from a detecting unit detecting a physical quantity of a target device; an extracting unit to extract, from the detection information, feature information indicating a feature of the detection information in an interval including a specific operation interval of the target device; a selecting unit to select reference feature information used as reference based on the feature information, and sequentially select pieces of target feature information; a calculating unit to calculate a likelihood of a process interval based on a comparison between the reference feature information and each piece of target feature information; a determining unit to determine whether the target feature information corresponding to the likelihood is included in the process interval based on the likelihood; and an estimating uni

Abstract: Provided is an abnormality detection device with which an abnormality of a machining state of a machine tool can be detected based on information on a section where machining is actually performed in machine tool-based machining. The abnormality detection device detects an abnormality of a machining state of a machine tool machining a workpiece with a tool. The machine tool includes a determination unit determining the machining state by using information related to an actual cutting section in the tool-based machining of the workpiece in the machine tool. The determination unit performs the machining state determination by using a deviation in position and length of a section recognized as the actual cutting section and a physical quantity in the actual cutting section acquired from the machine tool.

Abstract: A diagnostic device includes a reception unit and a determination unit. The reception unit is configured to receive context information and sensing information. The context information corresponds to a certain operation of a target item that constitutes a target device. The context information is a piece of a plurality of pieces of context information each describing an operation of the target item determined depending on a type of operation of the target device. The sensing information is on a physical quantity that varies in accordance with the operation of the target item. The determination unit is configured to determine a state of the target item based on the sensing information detected while the target item is performing the certain operation, and based on a model corresponding to the received context information. The model is a model of one or more models respectively defined for one or more pieces of the context information.

Abstract: A user terminal apparatus includes an input receiver, an intersecting-image information obtaining unit and a divider. The input receiver receives input information relating to image-drawing and image-erasing. The intersecting-image information obtaining unit obtains image-drawing input information intersecting image-erasing input information as intersecting-image information when the input receiver receives image-erasing input information. The divider divides the intersecting-image information to erase a portion of the intersecting-image information contained in an erasing area computed from the image-erasing input information when the input information is image-erasing input information.

Abstract: A processing apparatus estimates a noise amplitude spectrum of noise included in a sound signal. The processing apparatus includes an amplitude spectrum calculation part configured to calculate an amplitude spectrum of the sound signal for each one of frames obtained from dividing the sound signal into units of time; and a noise amplitude spectrum estimation part configured to estimate the noise amplitude spectrum of the noise detected from the frame. The noise amplitude spectrum estimation part includes a first estimation part configured to estimate the noise amplitude spectrum based on a difference between the amplitude spectrum calculated by the amplitude spectrum calculation part and the amplitude spectrum of the frame occurring before the noise is detected, and a second estimation part configured to estimate the noise amplitude spectrum based on an attenuation function obtained from noise amplitude spectra of the frames occurring after the noise is detected.

Abstract: An information processing apparatus includes a sound collector configured to collect an operation sound of a sound collection target device to obtain sound data; a context information obtaining unit configured to obtain context information at a time of an operation of the sound collection target device; a feature generator configured to generate feature of sound data corresponding to the context information; and a clustering unit configured to generate an operation status table of the sound collection target device by using the feature.

Abstract: An information processing apparatus includes a sound collector configured to collect an operation sound of a sound collection target device to obtain sound data; a context information obtaining unit configured to obtain context information at a time of an operation of the sound collection target device; a feature generator configured to generate feature of sound data corresponding to the context information; and a clustering unit configured to generate an operation status table of the sound collection target device by using the feature.

Abstract: A pattern recognition system includes a learning unit, a learning unit, a threshold calculation unit, and a determining unit. The learning unit learns, based on learned data of a first pattern, a model for determining whether recognition object data is the first pattern. The learning unit calculates likelihood indicating how likely the recognition object data is the first pattern by using the model learned by the learning unit. The threshold calculation unit calculates a threshold to be compared with the likelihood to determine whether the recognition object data is the first pattern, based on first likelihood that is calculated with respect to learned data of the first pattern and second likelihood that is calculated with respect to learned data of a second pattern. The determining unit determines whether the recognition object data is the first pattern by using the threshold.

Abstract: A processing apparatus estimates a noise amplitude spectrum of noise included in a sound signal. The processing apparatus includes an amplitude spectrum calculation part configured to calculate an amplitude spectrum of the sound signal for each one of frames obtained from dividing the sound signal into units of time; and a noise amplitude spectrum estimation part configured to estimate the noise amplitude spectrum of the noise detected from the frame. The noise amplitude spectrum estimation part includes a first estimation part configured to estimate the noise amplitude spectrum based on a difference between the amplitude spectrum calculated by the amplitude spectrum calculation part and the amplitude spectrum of the frame occurring before the noise is detected, and a second estimation part configured to estimate the noise amplitude spectrum based on an attenuation function obtained from noise amplitude spectra of the frames occurring after the noise is detected.

Abstract: A communication terminal or system is provided with a processor that calculates a transmission data size that is suitable to a detected state of a network, and analyzes contents of image data for transmission to determine an image parameter that should be prioritized. The communication terminal or system encodes the image data for transmission into encoded image data, based on the calculated transmission data size and the image parameter that should be prioritized.

Abstract: An image processing apparatus measures duration of the drawing operation by using coordinate information that indicates coordinate instructed to draw and time information that indicates time when the coordinates are detected, determines predicted time in accordance with the duration of the drawing operation, and generates an drawn image by calculating the predicted coordinates after the predicted time passes. The image processing apparatus calculates a characteristic value of the drawing operation by using the coordinate information and the time information and measures the duration of the drawing operation in case the characteristic value of the drawing operation is less than predetermined threshold value.