13.
    发明专利
    未知

    公开(公告)号:DE60033109T2

    公开(公告)日:2007-05-16

    申请号:DE60033109

    申请日:2000-10-26

    Applicant: XEROX CORP

    Abstract: A system for improving the uniformity of ink droplets delivered from a plurality of droplet sources on a printhead is described. The system includes a cooling system that compensates for nonuniform heating effects in a printhead which results in nonuniform temperatures. The distribution of the cooling system, and the effectiveness of the cooling system is set to maintain an approximately uniform ink temperature across the printhead.

    14.
    发明专利
    未知

    公开(公告)号:DE60033109D1

    公开(公告)日:2007-03-15

    申请号:DE60033109

    申请日:2000-10-26

    Applicant: XEROX CORP

    Abstract: A system for improving the uniformity of ink droplets delivered from a plurality of droplet sources on a printhead is described. The system includes a cooling system that compensates for nonuniform heating effects in a printhead which results in nonuniform temperatures. The distribution of the cooling system, and the effectiveness of the cooling system is set to maintain an approximately uniform ink temperature across the printhead.

    15.
    发明专利
    未知

    公开(公告)号:DE69506979D1

    公开(公告)日:1999-02-11

    申请号:DE69506979

    申请日:1995-09-29

    Applicant: XEROX CORP

    Abstract: A device for moving an object, such as a sheet of paper (20) or other substrate, includes a base element (10), a drive mechanism (15) to move the base element (10) in first and second directions (7), such as by vibration, and a plurality of flexible ratchets (5) fixedly secured to the base element (10). As the base element vibrates, the ratchets (5) advance the sheet of paper in a direction (9) perpendicular to the direction (7) of vibration of the base element (10). Pluralities of base elements and drive mechanisms can be provided (Figs. 6,7) to direct movement of the substrate in various directions.

    Explicit Synchronization for Self-Clocking Glyph Codes

    公开(公告)号:CA2134494A1

    公开(公告)日:1995-06-23

    申请号:CA2134494

    申请日:1994-10-27

    Applicant: XEROX CORP

    Abstract: A self-clocking glyph code (31) is composed of data glyphs (34) which encode logically ordered data values, together with one or more multi-glyph synchronization code patterns (33). Each of the synchronization code patterns (33) is distinguishable from the data glyphs (34), but the synchronization code pattern (33) or patterns provide an explicit spatial reference for the data glyphs. To this end, the glyphs (37) of the synchronization code pattern (33) or patterns are written on the recording medium (35) in accordance with the same spatial formatting rule as the data glyphs (34), plus at least one additional formatting rule that establishes a predetermined geometric relationship between the glyphs of the synchronization code pattern or patterns (33) and corresponding ones of the spatially formatted data glyphs (34), such that the logical order of at least a significant number (>> 1)of the data glyphs (34) is inferable from the synchronization code pattern or patterns (33). Preferably, each of the synchronization code patterns (33) is composed of glyphs (37) that are selected from the same finite symbol set as the data glyphs (34), so the synchronization code pattern or patterns (33) typically are defined by glyph patterns that have a suitably high statistical probability of being unique with respect to any pattern of data glyphs.

    19.
    发明专利
    未知

    公开(公告)号:DE69527767T2

    公开(公告)日:2002-11-28

    申请号:DE69527767

    申请日:1995-12-12

    Applicant: XEROX CORP

    Abstract: A compact neural network architecture (10) is trainable to sense and classify an optical image (Figs 3, 6) directly projected onto it. The system is based upon the combination of a two-dimensional array (12) of amorphous silicon photoconductors (18) and a liquid-crystal spatial light modulator (20; Fig. 2). Appropriate filtering of the incident optical image upon capture is incorporated into the network training rules, through a modification of the standard backpropagation training algorithm. Training of the network (10) on two image classification problems is described: the recognition of handprinted digits (Fig. 3), and facial recognition (Fig. 6). The network (10), once trained is capable of standalone operation, sensing an incident image and outputting a final classification signal in real time.

    20.
    发明专利
    未知

    公开(公告)号:DE69527767D1

    公开(公告)日:2002-09-19

    申请号:DE69527767

    申请日:1995-12-12

    Applicant: XEROX CORP

    Abstract: A compact neural network architecture (10) is trainable to sense and classify an optical image (Figs 3, 6) directly projected onto it. The system is based upon the combination of a two-dimensional array (12) of amorphous silicon photoconductors (18) and a liquid-crystal spatial light modulator (20; Fig. 2). Appropriate filtering of the incident optical image upon capture is incorporated into the network training rules, through a modification of the standard backpropagation training algorithm. Training of the network (10) on two image classification problems is described: the recognition of handprinted digits (Fig. 3), and facial recognition (Fig. 6). The network (10), once trained is capable of standalone operation, sensing an incident image and outputting a final classification signal in real time.

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