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 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: A diagnostic apparatus includes: a receiver to receive, from a diagnosis target device, context information corresponding to a current operation on the target device and tool information regarding a tool being used for the current operation on the target device, the context information corresponding to the current operation being one of a plurality of items of context information that have been determined by respective types of a plurality of types of operation applicable to the target device; and circuitry to obtain detection information of a physical quantity varying with the current operation on the target device, and to determine a level of degradation of the tool being used, using the detection information and a model corresponding to a combination of the received context information and the received tool information, the model being specified from one or more models respectively corresponding to available combinations of context information and tool information using the received combination of context

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: A malfunction diagnosing apparatus includes circuitry that collects vibration data generated when a diagnosed apparatus operates in a predetermined operating sequence, analyzes the collected vibration data and calculate a feature quantity, determines, based on the calculated feature quantity, whether or not something is wrong with the diagnosed apparatus, controls, if it is determined that something wrong with the diagnosed apparatus, the diagnosed apparatus to repeat the operating sequence that it is determined that something is wrong with the diagnosed apparatus for a predetermined number of times, and determines that malfunction occurs in the diagnosed apparatus if it is determined that something is wrong with the diagnosed apparatus in the operating sequence repeated for the predetermined number of times.

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 apparatus includes: a receiver to receive, from a diagnosis target device, context information corresponding to a current operation on the target device and tool information regarding a tool being used for the current operation on the target device, the context information corresponding to the current operation being one of a plurality of items of context information that have been determined by respective types of a plurality of types of operation applicable to the target device; and circuitry to obtain detection information of a physical quantity varying with the current operation on the target device, and to determine a level of degradation of the tool being used, using the detection information and a model corresponding to a combination of the received context information and the received tool information, the model being specified from one or more models respectively corresponding to available combinations of context information and tool information using the received combination of context

Abstract: A malfunction diagnosing apparatus includes circuitry that collects vibration data generated when a diagnosed apparatus operates in a predetermined operating sequence, analyzes the collected vibration data and calculate a feature quantity, determines, based on the calculated feature quantity, whether or not something is wrong with the diagnosed apparatus, controls, if it is determined that something wrong with the diagnosed apparatus, the diagnosed apparatus to repeat the operating sequence that it is determined that something is wrong with the diagnosed apparatus for a predetermined number of times, and determines that malfunction occurs in the diagnosed apparatus if it is determined that something is wrong with the diagnosed apparatus in the operating sequence repeated for the predetermined number of times.

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: An image processing apparatus includes: an extractor to extract colors used in input data; a converter to convert signals of the extracted colors into intermediate color signals each including three color signal components including brightness; an evaluator to evaluate recognizabilities of the colors based on the intermediate color signals; a generator to generate additional image data to be added to data for ordinary image formation based on a result of the evaluation and the input data; and a color convertor to convert the input data into the data for ordinary image formation.

Abstract: An image processing apparatus comprising: an acquiring unit configured to acquire a correction target image and user information indicating characteristics of a user requesting a correction; an image accumulating unit configured to accumulate images therein; an extracting unit configured to extract an image from the image accumulating unit based on the user information acquired by the acquiring unit, the image matching the characteristics of the user requesting the correction; a setting unit configured to set a correction target value based on the image extracted by the extracting unit; and a correcting unit configured to correct the correction target image based on the correction target value.

Abstract: An image processing apparatus is capable of performing a plurality of toner-saving processes each reducing an amount of toner consumed to form an image. The apparatus includes a selecting unit that allows a user to select one toner saving process from the plurality of toner saving processes; a toner saving unit that performs the one toner saving process selected through the selecting unit; and a display unit that provides, when the one toner saving process is a predetermined toner saving process that yields a printed output whose print quality is not easily presumed by the user, a preview display representing the print quality of the printed output to be yielded by the one toner saving process.

Abstract: An image processing apparatus includes a generator, a storage, an image data format converter, and a sender. The generator generates print image data for printing an image, based on image data sent from an external device. The storage stores the print image data. The image data format converter converts the print image data into image data in a format handled by an external device. The sender sends the converted image data via an IP (internet protocol) network to the external device. The image data format converter performs one of color space conversion, expansion, compression, resolution conversion, filtering, halftone processing, density gamma conversion, and noise removal in accordance with parameters determined based on at least one of property information of the print image data and property information requested by the external device.

Abstract: An image processing apparatus includes an object type determining unit that determines whether a drawing object in the input image data includes a color character group; a background area extracting unit that extracts the background area on which the color character group is formed in the drawing object; a monochromatic conversion unit that, when the drawing object is determined to include the color character group, generates monochromatic image data by performing monochromatic conversion of the input image data with minimum luminance of a main color; a pattern generating unit that, when the drawing object is determined to include the color character group, generates, according to the hue of the color character group, pattern image data to be added to the background area of the post-monochromatic-conversion color character group; and a synthesizing unit that synthesizes the monochromatic image data and the pattern image data.

Abstract: An image processing apparatus comprising: an acquiring unit configured to acquire a correction target image and user information indicating characteristics of a user requesting a correction; an image accumulating unit configured to accumulate images therein; an extracting unit configured to extract an image from the image accumulating unit based on the user information acquired by the acquiring unit, the image matching the characteristics of the user requesting the correction; a setting unit configured to set a correction target value based on the image extracted by the extracting unit; and a correcting unit configured to correct the correction target image based on the correction target value.

Abstract: An image processing apparatus in which the reusability of digital image data is improved is disclosed. The apparatus includes an image reading unit reading a draft and obtaining the digitized image data; an image writing unit printing image data on a transfer paper; a recording unit recording image data and attached information of the image data; an external I/F unit transmitting and receiving image data and attached information of the image data; a first and a second image data processing units processing the image data from the image reading unit and the recording unit, respectively; and a bus controlling unit connecting each of the units. The first and the second image data processing units match the characteristics of the image data to prescribed characteristics so that the matched image data can be usable for both the image writing unit and the external device.

Abstract: An image processing apparatus includes a generator, a storage, an image data format converter, and a sender. The generator generates print image data for printing an image, based on image data sent from an external device. The storage stores the print image data. The image data format converter converts the print image data into image data in a format handled by an external device. The sender sends the converted image data via an IP (internet protocol) network to the external device. The image data format converter performs one of color space conversion, expansion, compression, resolution conversion, filtering, halftone processing, density gamma conversion, and noise removal in accordance with parameters determined based on at least one of property information of the print image data and property information requested by the external device.