Kenner Law Group, PLC 17800 Castleton Street, Suite 605, Industry, CA 91748 7145298528 (Office), 7145298529 (Fax)
Licenses:
California - Active 2004
Experience:
Managing Attorney at Kenner Law Group - 2005-present
Education:
Golden Gate Univ SOL Degree - law California St Univ Fullerton Degree - undergraduate
Specialties:
Litigation - 40%, years Lawsuits / Disputes - 40%, years Estate Planning - 20%, years
Languages:
English Portuguese Spanish Taiwanese
Associations:
Eastern Bar Association - Member, 2010-present San Gabriel Valley Bar Association - Member, 2010-present Los Angeles County Bar Association - Member, 2009-present San Fernando Valley Bar Association - Member, 2010-2011
Description:
I amthe managing attorney of Kenner Law Group. My primary area of practice is civil litigation. Throughoutmy legal career, I have consistently and zealously...
National Taiwan University, B.S., 1996; National Taiwan University, B.S., 1996; National Taiwan University, M.S., 1998; National Taiwan University, M.S., 1998; National Taiwan University, B.S., 2006; National Taiwan University, B.S., 2006
Motion Picture Association Sherman Oaks, CA Jun 2007 to May 2011 Collections Management Officer, IntelligenceThe Walt Disney Company Burbank, CA Feb 2006 to Jun 2007 Digital Rights Management (DRM) EngineerInternet Enforcement Analyst Aug 2005 to Dec 2006
Education:
University of California Los Angeles, CA 2003 to 2005 Bachelor of Science in Computer Science
Medicine Doctors
Dr. Jason H Yang, Pasadena CA - MD (Doctor of Medicine)
Konstantine Iourcha - San Jose CA, US Jason Yang - San Francisco CA, US Andrew Pomianowski - Palo Alto CA, US
Assignee:
Advanced Micro Devices, Inc. - Sunnyvale CA
International Classification:
G09G 5/00
US Classification:
345611, 382264
Abstract:
Embodiments of a filtering method and apparatus for anti-aliasing as described herein take advantage of improved existing hardware by using as input the data stored in the multisampling anti-aliasing (MSAA) buffers after rendering. The standard hardware box-filter is then replaced with a more intelligent resolve implemented using shader programs. Embodiments find scene edges using existing samples generated by Graphics Processing Unit (GPU) hardware. Using samples from a footprint larger than a single pixel, a gradient is calculated matching the direction of an edge. A non-linear filter over contributing samples in the direction of the gradient gives the final result.
Method And System For Parallel Intra-Prediction Decoding Of Video Data
Alexander Lyashevsky - Cupertino CA, US Jason Yang - San Francisco CA, US Arcot J. Preetham - Sunnyvale CA, US
Assignee:
ATI Technologies, Inc. - Ontario
International Classification:
H04N 7/12
US Classification:
37524015, 37524013, 37524025
Abstract:
Embodiments of a method and system for intra-prediction in decoding video data are described herein. In various embodiments, a high-compression-ratio codec (such as H. 264) is part of the encoding scheme for the video data. Embodiments pre-process control maps that were generated from encoded video data, and generating intermediate control maps comprising information regarding decoding the video data. The control maps indicate which units of video data in a frame are to be processed using an intra-prediction operation. In an embodiment, intra-prediction is performed on a frame basis such that intra-prediction is performed on an entire frame at one time. In other embodiments, processing of different frames is interleaved. Embodiments increase the efficiency of the intra-prediction such as to allow decoding of high-compression-ratio encoded video data on personal computers or comparable equipment without special, additional decoding hardware.
Multi-Channel Compensation Of Chromatic Dispersion Slope Using Etalons With Wavelength Dependent Variable Reflectivity
Qin Zhang - San Jose CA, US Jianzhong Zhang - Palo Alto CA, US Jason Yang - Cupertino CA, US
International Classification:
G02B006/26
US Classification:
385/015000, 385/027000
Abstract:
A dispersion compensation system includes a number of etalons cascaded in series to form a chain. The chain of etalons introduces a cumulative group delay that compensates for chomatic dispersion and dispersion slope. At least one of the etalons is tunable, thus allowing the system to be turned, for example to compensate for different amounts of dispersion and/or manufacturing variations.
Compensation Of Chromatic Dispersion Using Cascaded Etalons Of Variable Reflectivity
Qin Zhang - San Jose CA, US Jason Yang - Cupertino CA, US
International Classification:
H04B010/18 G02B006/26
US Classification:
359/161000, 385/039000
Abstract:
A dispersion compensation system includes a number of etalons cascaded in series to form a chain. The chain of etalons introduces a cumulative group delay that compensates for chromatic dispersion. At least one of the etalons is tunable, thus allowing the system to be tuned, for example to compensate for different amounts of dispersion and/or manufacturing variations.
Decoding Method And System For Highly Compressed Video Data
Alexander Lyashevsky - Cupertino CA, US Jason Yang - San Francisco CA, US Arcot J. Preetham - Sunnyvale CA, US
International Classification:
H04B 1/66 H04N 11/02
US Classification:
3752401, 37524025
Abstract:
Embodiments of a method and system for decoding video data are described herein. In various embodiments, a high-compression-ratio codec (such as H.264) is part of the encoding scheme for the video data. Embodiments pre-process control maps that were generated from encoded video data, and generating intermediate control maps comprising information regarding decoding the video data. The control maps include information regarding rearranging the video data to be processed in parallel on multiple pipelines of a graphics processing unit (GPU) so as to optimize the use of the multiple pipelines. In an embodiment, decoding is performed on a frame basis such that each of multiple, distinct decoding operations is performed on an entire frame at one time. In other embodiments, processing of different frames is interleaved. Embodiments increase the efficiency of the decoding such as to allow decoding of high-compression-ratio encoded video data on personal computers or comparable equipment without special, additional decoding hardware.
Method And System For Motion Compensation Method In Decoding Of Video Data
Alexander Lyashevsky - Cupertino CA, US Jason Yang - San Francisco CA, US Arcot J. Preetham - Sunnyvale CA, US
International Classification:
H04B 1/66 H04N 7/12
US Classification:
3752401, 37524012
Abstract:
Embodiments of a method and system for motion compensation in decoding video data are described herein. In various embodiments, a high-compression-ratio codec (such as H.264) is part of the encoding scheme for the video data. Embodiments pre-process control maps that were generated from encoded video data, and generating intermediate control maps comprising information regarding decoding the video data. The control maps indicate which one of multiple prediction operations is to be used in performing motion compensation on particular units of data in a frame. In an embodiment, motion compensation is performed on a frame basis such that each of the multiple prediction operations is performed on an entire frame at one time. In other embodiments, processing of different frames is interleaved. Embodiments increase the efficiency of the motion compensation such as to allow decoding of high-compression-ratio encoded video data on personal computers or comparable equipment without special, additional decoding hardware.
Method And System For Deblocking In Decoding Of Video Data
Alexander Lyashevsky - Cupertino CA, US Jason Yang - San Francisco CA, US Arcot J. Preetham - Sunnyvale CA, US
International Classification:
H04B 1/66 H04N 11/04 H04N 11/02
US Classification:
3752401, 37524024, 37524025
Abstract:
Embodiments of a method and system for decoding video data are described herein. In various embodiments, a high-compression-ratio codec (such as H.264) is part of the encoding scheme for the video data. Embodiments pre-process control maps that were generated from encoded video data, and generating intermediate control maps comprising information regarding decoding the video data. The control maps include information regarding rearranging the video data to be processed in parallel on multiple pipelines of a graphics processing unit (GPU) so as to optimize the use of the multiple pipelines. In an embodiment, macro blocks of video data with similar deblocking dependencies are identified to be processed together. Deblocking is performed on a frame basis such that deblocking is performed on an entire frame at one time. In other embodiments, processing of different frames is interleaved. Embodiments increase the efficiency of the decoding such as to allow decoding of high-compression-ratio encoded video data on personal computers or comparable equipment without special, additional decoding hardware.
Method And System For Inter-Prediction In Decoding Of Video Data
Alexander Lyashevsky - Cupertino CA, US Jason Yang - San Francisco CA, US Arcot J. Preetham - Sunnyvale CA, US
International Classification:
H04N 11/04 H04N 11/02
US Classification:
37524013, 37524025
Abstract:
Embodiments of a method and system for inter-prediction in decoding video data are described herein. In various embodiments, a high-compression-ratio codec (such as H.264) is part of the encoding scheme for the video data. Embodiments pre-process control maps that were generated from encoded video data, and generating intermediate control maps comprising information regarding decoding the video data. The control maps indicate which units of video data in a frame are to be processed using an inter-prediction operation. In an embodiment, inter-prediction is performed on a frame basis such that inter-prediction is performed on an entire frame at one time. In other embodiments, processing of different frames is interleaved. Embodiments increase the efficiency of the inter-prediction such as to allow decoding of high-compression-ratio encoded video data on personal computers or comparable equipment without special, additional decoding hardware.
News
Tesla Gigafactory 3 assembly lines are taking form ahead of initial Model 3 production
A glimpse of this progress could be seen in a recent drone flyover by Tesla enthusiast Jason Yang, who was able to capture some footage of the ongoing work inside the facility, including spaces that appear to be intended for robots that will be used in the factory. Apart from the insanely quick prog
Brookline, MA Charlottesville, VA Iquitos, Peru Baltimore, MD San Jose, CA Cerritos, CA Silver Spring, MD Gothenburg, Sweden
Work:
Boston University, Howard Hughes Medical Institute - Postdoctoral Fellow (2012)
Education:
University of Virginia - Biomedical Engineering, Johns Hopkins University - Biomedical Engineering, Electrical Engineering, Leland High School, Santa Teresa High School
Jason Yang
Work:
Solid Alloy
Jason Yang
Lived:
Los Angeles, CA 대한민국 Seoul
Education:
Sungkyunkwan University - Statistics
Relationship:
In_a_relationship
Jason Yang
Lived:
Los Angeles, CA
Work:
Rock Mafia - Studio Elf
Education:
University of Southern California
Jason Yang
Lived:
Los Angeles, CA
Work:
BehindtheHustle.com - Digital Specialist (2012)
Jason Yang
Work:
Retronix Technology Inc. - Deputy Technical Manager (2007)
Education:
National Central University - Computer Science and Information Engineering
Jason Yang
Education:
SAIT - Energy asset management, SAIT - Automotive service technology