Fuji Xerox Co., Ltd.

Hirotsugu Kashimura

Hitoshi Ikeda

Noriji Kato

Hiroyuki Watanabe

Chikara Manabe

Kazunori Anazawa

Masaaki Shimizu

Motofumi Fukui

Nobuaki Miyakawa

Hiroyuki Mitsu

An information processing apparatus includes an input section, a position calculation section, a storage section, a log information record section, a display data generation section and a display section. The input section receives document identification information, which are output as output signals from respective transmission portions set to correspond to respective documents, and user identification information, which are output as output signals from respective transmission portions set to correspond to users. The position calculation section calculates document positions and user positions based on the document identification information and the user identification information. The storage section stores the calculated document positions and the calculated user positions. The log information record section records document use histories of the users based on the stored document positions and the stored user positions. The display data generation section generates display data indicating a document position of a document, which was used by a particular user.

Information processing apparatus, document management system and method, and computer program

An image forming apparatus in which a client terminal and a printer are connected to a communication network, includes an image capturing part provided in a vicinity of the printer, a recognizing part to sense a person approaching the printer and to recognize an identity of the person, based on a face image of an image captured by the image capturing part, and a control part to control the printer to perform a print job issued by the person, based on a recognition output from the recognizing part.

Recognizing and sensing a person approaching a printer via an image capturing device

An image processing apparatus includes a map generation unit, a temporary area arrangement unit and a target area detection unit. The map generation unit acquires a map of scores in which each score pertaining to a degree&#x2014;to which a corresponding unit area of image data is likely to be contained in a target area&#x2014;is associated with a position of the corresponding unit area. The temporary area arrangement unit arranges a temporary area in a position determined in accordance with a predetermined condition, on the map of scores. The target area detection unit performs, at least once, at least one of: (1) processing of changing the position of the temporary area on the map of scores, and (2) processing of changing a ratio of a length of the temporary area in a predetermined direction to that of the temporary area in an orthogonal direction.

Image processing apparatus, image processing method, and image processing program

A data recognition device including: a recognizing unit that specifies, out of processing target data that changes in time series, predetermined recognition target data parts from the first to the n-th in order by searching a recognition target data part from the processing target data by use of a processing parameter; a storing unit that stores, as recognition related information, a processing parameter that is used when the i-th (1&#x2266;i&#x3c;n) recognition target data part is specified; and a processing parameter setting unit that generates a processing parameter to be used in recognizing the i+1-th recognition target data part and outputs the generated processing parameter to the recognizing unit.

Data recognition device

A recognition device which judges whether a target is identical with a predetermined reference, comprising: a holding unit which holds the target; multiple deformation units which deform the target held by the holding unit with at least one degree of flexibility in deformation; multiple deformed amount estimation units which correspond to the deformation units in a one-to-one relationship and estimate a deformed amount of the target from the reference with respect to the flexibility in deformation according to the corresponding deformation unit; an estimated error evaluation unit which evaluates an estimated error of the deformed amount estimated by the deformed amount estimation unit; an adjustment unit which operates any of the deformation units with precedence according to the estimated error evaluated by the estimated error evaluation unit; a similarity calculation unit which calculates a similarity between the reference and the target which is deformed by the deformation unit operated with precedence by the adjustment unit; and a judgment unit which judges whether the target is identical with the reference according to the similarity calculated by the similarity calculation unit.

Recognition device and method

A data classifier classifies a plurality of input pattern data into one or more clusters. For each pattern data, a cluster to which the pattern data belongs is provisionally determined. For each cluster, a predetermined correlation value is calculated between one or more pattern data belonging to the cluster and observational pattern data which is a target to be classified into a cluster. A cluster to which the observational pattern data belongs is determined based on the correlation values.

Data classifier for classifying pattern data into clusters

An object of the present invention is to provide an antenna of small size which is excellent in the response characteristic in the high-frequency band, and to provide a communication device including the antenna having such an excellent characteristic that it is possible to realize downsizing of the device as a whole. That is, the present invention is directed to an antenna characterized by including a radiator made up of a carbon nanotube, and as a specific structure, for example, an antenna characterized by including an electrode that is connected with a part of the carbon nanotube and operates as a monopole antenna, and a communication device including the antenna.

Antenna and communication device

A pattern recognition method and apparatus decrease the amount of computation for pattern recognition and adapts flexibly to an increase and a change in learning samples. Learning is made beforehand on base vectors in a subspace of each category and a kernel function. Pattern data to be recognized is input, and projection of an input pattern to a nonlinear subspace of each category is decided. Based on the decided projection, a Euclidean distance or an evaluation value related to each category is calculated from the property of the kernel function, and is compared with a threshold value. If a category for which the evaluation value is below the threshold value exists, a category for which the evaluation value is the smallest is output as a recognition result. If there is no category for which the evaluation value is below the threshold value, a teaching signal is input for additional learning.

Pattern recognition method and apparatus

A data classifier performs a data classification process using prototypes classified into clusters. A prototype map is formed using mapping means and clustering means. The mapping means forms, through learning, a prototype map by adjusting coupling weights between a plurality of prototypes provided in a map space based on a plurality of input data. The clustering means calculates a predetermined measure between the prototypes and classifies the prototypes into a plurality of clusters based on the measure.

Data classifier using learning-formed and clustered map

To provide an active electronic device which is formed from a carbon nanotube and which excels in high frequency operation and an electronic apparatus using the active electronic device. Provided are the active electronic device including: a carbon nanotube (); a first electrode (S) connected to one end of the carbon nanotube; a second electrode (D) connected to the other end of the carbon nanotube; and a third electrode (G) facing the carbon nanotube () to irradiate the carbon nanotube () with electromagnetic waves, in which the amount of current flowing into the carbon nanotube () is changed by electromagnetic waves, at least high frequency electromagnetic waves, radiated from the third electrode onto the carbon nanotube (), and the electronic apparatus using the active electronic device.

Active electronic device and electronic apparatus

When neuron operations are computed in parallel using a large number of arithmetic units, arithmetic units for neuron operations and arithmetic units for error signal operations need not be provided separately, and a neural network arithmetic apparatus that consumes the bus band less is provided for updating of synapse connection weights. Operation results of arithmetic units and setting information of a master node are exchanged between them through a local bus. During neuron operations, partial sums of neuron output values from the arithmetic units are accumulated by the master node to generate and output a neuron output value, and an arithmetic unit to which neuron operations of the specific neuron are assigned receives and stores the neuron output value outputted from the master node.

Neural network arithmetic apparatus and neutral network operation method

An image sensor which has a simple construction, and can read a voltage value, not a current value, based on the quantity of light received by the photo diode, and can read charge of the light sensing elements every block. A plurality of light sensing elements each consisting of a photo diode and a blocking diode, make up a block. A plurality of blocks are arrayed. The blocking diodes are connected to a shift register for transferring a bias voltage thereto. The lead wires from the photo diodes are connected to common signal lines. The common signal lines are respectively connected to load capacitors. Potential caused in each common signal line by the charge stored in the corresponding load capacitor is read out.

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Kanagawa, Japan

Hirotsugu Kashimura