Dongpei Su

8199359, Jun 12, 2012

Apr 24, 2007

11/789206

Lakhbir Gandhi - Auburn WA, US
Robert Westervelt - Los Angeles CA, US
Kenneth A. Schmidt - Redondo Beach CA, US
Dongpei Su - Lomita CA, US
Alfred Abkarian - La Crescenta CA, US
Mark Raley - Torrance CA, US

Kyocera Mita Corporation - Osaka

G06F 15/00

358 19

A system and method for trapping in electrophotographic color printing and related technologies for printing or display in which the final image is an overlay of multiple components subject to alignment errors. Trapping is based on the cyan (C), magenta (M), and black (K) planes. There are four steps as follows: detect object edges on each of the four color planes; detect coincident and opposing edge transitions on each pair of planes (CM, CK, and KM); determine which plane to trap, i. e. , to extend object across edge; and generate trap on that plane using a simple trap generation rule and a single trap generation rule.

20050068207, Mar 31, 2005

Sep 25, 2003

10/672426

Dongpei Su - Lomita CA, US
Matthew Lipman - , US
Raymond Robinson - Lawndale CA, US
Michele Lipman - Hermosa Beach CA, US

H03M007/46

341063000

The embodiments of the invention include a system and method for losslessly encoding and compressing a data stream. The data stream may be an image, text or combination of the two. The data stream may be received from a computer application or peripheral device. The encoding compresses the data stream by comparing consecutive values of the data stream and encoding the data based on the difference between consecutive data values.

20200393998, Dec 17, 2020

Jun 17, 2019

16/443533

- Osaka, JP
Dongpei Su - Palos Verdes Estates CA, US

G06F 3/12
G06N 3/08
G06T 7/00

Methods and apparatus for utilizing a machine learning system are provided. A printing device can receive images associated with a page printed by a printer engine of the printing device. The printing device can then provide, to a trained machine learning system configured to predict potential defects associated with the printer engine, the images. The printing device can obtain, from the trained machine learning system, outputs indicating at least one potential defect associated with the printer engine. The printing device can determine, using a solutions database, whether one or more solutions to resolve the at least one potential defect are available. After determining that one or more solutions are available, the printing device can provide, by way of a graphical interface, information about the one or more solutions.

20200320289, Oct 8, 2020

Apr 8, 2019

16/378470

- Osaka, JP
Dongpei Su - Palos Verdes Estates CA, US

G06K 9/00
G06K 9/62
G06N 3/08
G06K 9/34
G06T 11/20

Methods and apparatus for training and utilizing an artificial neural network (ANN) are provided. A computing device can receive training documents including text. The computing device can parse the training documents to determine training data items. Each training data item can include a training label related to text within the training documents and location information indicating a location of text related to the training label. An ANN can be trained to recognize text using the training data items and training input that includes the training documents. After training the ANN, a request to predict text in application documents that differ from the training documents can be received. The application documents can include second text. A prediction of the second text can be determined by applying the trained ANN to the application documents. After determining the prediction of the second text, information related to the second text can be provided.

20200210122, Jul 2, 2020

Dec 31, 2018

16/237666

- Osaka, JP
Dongpei Su - Palos Verdes Estates CA, US

G06F 3/12
G06F 13/16
G06F 13/18
G06F 11/07

A memory control method receives a read request data set including a management ID and requesting reading of data from a memory, transmits read data that is read corresponding to the read request, stores write data temporarily in a write buffer, stores the read data read from the memory temporarily in a read buffer, stores write control data and read control data in an arbitration queue, executes an arbitration that determines a priority order of processing taking the write control data and the read control data that are stored in the arbitration queue as targets, and matches an order of transmitting a plurality of pieces of read data that are read from the memory corresponding to the read control data selected based on the determined priority order and are associated with an identical management ID to an order of receiving the read request data set.

20200210123, Jul 2, 2020

Dec 31, 2018

16/237672

- Osaka, JP
Dongpei Su - Palos Verdes Estates CA, US

G06F 3/12
G06F 13/16
G06F 13/18
G06F 11/07

A memory control method generates write control data by predetermined areas by attaching processing priority data and a transfer ID, generates read control data for respective predetermined areas by attaching processing priority data and a transfer ID, stores the write control data and the read control data in an arbitration queue, executes an arbitration that determines a priority order of processing taking the write control data and the read control data that are stored in the arbitration queue as targets, and changes the processing priority data every time a predetermined time elapses. The arbitration raises a priority order taking the write control data or the read control data that includes the processing priority data as a timeout request when the processing priority data has passed a preliminarily set threshold by the change.

20200213464, Jul 2, 2020

Nov 10, 2019

16/679259

- Osaka, JP
Dongpei Su - Palos Verdes Estates CA, US

H04N 1/00
G06F 13/16
G06F 13/18

A memory control method uses a memory including a plurality of bank groups each having a plurality of banks. The memory control method includes masking write control data and read control data based on an inside-bank group constraint period that is a command to command interval during which a processing is restricted inside an identical bank group and an inter-bank group constraint period that is a command to command interval during which a processing is restricted inside different bank groups, and storing an unmasked command in an arbitration queue. An arbitration raises a priority order of control data requesting a processing on the bank group that has been accessed last among the plurality of bank groups.

20200184704, Jun 11, 2020

Dec 10, 2018

16/215589

- Osaka, JP
Dongpei Su - Palos Verdes Estates CA, US
Sheng Li - El Segundo CA, US
Kendrick Wong - Torrance CA, US

G06T 15/04

Methods and apparatus for rendering using smooth shading are provided. A computing device can receive information about an image, the information including one or more patches, where a particular patch of the one or more patches is specified using a plurality of non-linear equations. The computing device can determine one or more linear approximations to a particular non-linear equation of the plurality of non-linear equations. The computing device can update the particular patch to replace the particular non-linear equation with at least one linear approximation of the one or more linear approximations. The computing device can render at least part of the image by at least rendering the updated particular patch. The computing device can generate an output that includes the rendered at least part of the image.