Xuefeng Cheng - Milpitas CA Xiaorong Xu - Menlo Park CA Shuoming Zhou - Cupertino CA Lai Wang - Cupertino CA Ming Wang - San Jose CA Feng Li - San Jose CA Guobao Hu - San Jose CA
Assignee:
Photonify Technologies, Inc. - Fremont CA
International Classification:
A61B 500
US Classification:
600323, 600310, 600473, 600476, 2502521
Abstract:
The present invention generally relates to optical imaging systems and methods for providing images of two-dimensional and/or three-dimensional distribution of properties of chromophores in various physiological media. More particularly, the present invention relates to optical imaging systems, optical probes thereof, and methods therefore utilizing self-calibration of their output signals. A typical self-calibrating optical imaging system includes at least one wave source, at least one wave detector, a signal analyzer, a signal processor, and an image processor. The signal analyzer receives, from the wave detector, an output signal representative of the distribution of the chromophores or their properties in target areas of the medium. The signal analyzer analyzes amplitudes of the output signal and selects multiple points of the output signal having substantially similar amplitudes. The signal processor calculates a baseline corresponding to a representative amplitude of the similar amplitudes and provides a self-calibrated output signal.
Xuefeng Cheng - Milpitas CA Xiaorong Xu - Menlo Park CA Shuoming Zhou - Cupertino CA Lai Wang - Cupertino CA Ming Wang - San Jose CA Feng Li - San Jose CA Guobao Hu - San Jose CA
Assignee:
Photonify Technologies, Inc. - Fremont CA
International Classification:
A61B 500
US Classification:
600323, 600310, 600473, 600476
Abstract:
The present invention generally relates to optical imaging systems and methods for providing images of two-dimensional and/or three-dimensional distribution of properties of chromophores in various physiological media. More particularly, the present invention relates to optical imaging systems, optical probes thereof, and methods therefor utilizing self-calibration of their output signals. A typical self-calibrating optical imaging system includes at least one wave source, at least one wave detector, a signal analyzer, a signal processor, and an image processor. The signal analyzer receives, from the wave detector, an output signal representative of the distribution of the chromophores or their properties in target areas of the medium. The signal analyzer analyzes amplitudes of the output signal and selects multiple points of the output signal having substantially similar amplitudes. The signal processor calculates a baseline corresponding to a representative amplitude of the similar amplitudes and provides a self-calibrated output signal.
Method And Apparatus For Programming A Memory Array
Bendik Kleveland - Santa Clara CA, US Tae Hee Lee - Saratoga CA, US Seung Geon Yu - San Ramon CA, US Chia Yang - San Jose CA, US Feng Li - San Jose CA, US Xiaoyu Yang - Campbell CA, US
Assignee:
SanDisk 3D LLC - Sunnyvale CA
International Classification:
G11C 29/00
US Classification:
365200, 365175
Abstract:
A method and apparatus for programming a memory array are disclosed. In one embodiment, after each word line is programmed, an attempt is made to detect a defect on that word line. If a defect is detected, the word line is repaired with a redundant word line. The word lines are then reprogrammed and rechecked for defects. In another embodiment, after each word line is programmed, an attempt is made to detect a defect on that word line. If a defect is detected, that word line is repaired along with a previously-programmed adjacent word line. In yet another embodiment, after each word line is programmed, an attempt is made to detect a defect on that word line and a previously-programmed adjacent word line. If a defect is detected on that word line, that word line and the previously-programmed adjacent word line are repaired with redundant word lines.
Speeding Up Timing Analysis By Reusing Delays Computed For Isomorphic Subcircuits
Larry G. Jones - San Jose CA, US Feng Li - San Jose CA, US Mohan Rangan Govindaraj - Menlo Park CA, US Bradley R. Roetcisoender - Kirkland WA, US Michael G. Weaver - Menlo Park CA, US
Assignee:
Synopsys, Inc. - Mountain View CA
International Classification:
G06F 17/50
US Classification:
716 4, 716 5, 716 6, 703 14
Abstract:
One embodiment of the present invention provides a system that speeds up timing analysis by reusing delays computed for isomorphic subcircuit. During operation, the system receives a circuit block to be analyzed, wherein the circuit block is in the form of a netlist. The system then subdivides the circuit block into a set of subcircuits. The subcircuits are then partitioned into equivalence classes, which contain subcircuits which are topologically isomorphic to each other. Next, the system performs a timing analysis by tracing paths through a timing graph for the circuit block. During this timing analysis, whenever a delay is required for a subcircuit, the system determines if a corresponding delay has been already computed for the equivalence class associated with the subcircuit. If so, the system reuses the delay. If not, the system computes the delay for the subcircuit, and then associates the computed delay with the equivalence class so that the computed delay can be reused for isomorphic subcircuits.
Memory With High Dielectric Constant Antifuses Adapted For Use At Low Voltage
A memory array having memory cells comprising a diode and an antifuse can be made smaller and programmed at lower voltage by using an antifuse material having a higher dielectric constant and a higher acceleration factor than those of silicon dioxide, and by using a diode having a lower band gap than that of silicon. Such memory arrays can be made to have long operating lifetimes by using the high acceleration factor and lower band gap materials. Antifuse materials having dielectric constants between 5 and 27, for example, hafnium silicon oxynitride or hafnium silicon oxide, are particularly effective. Diode materials with band gaps lower than that of silicon, such as germanium or a silicon-germanium alloy, are particularly effective.
Methods Involving Memory With High Dielectric Constant Antifuses Adapted For Use At Low Voltage
Xiaoyu Yang - Campbell CA, US Roy E. Scheuerlein - Cupertino CA, US Feng Li - San Jose CA, US Albert T. Meeks - Sunnyvale CA, US
Assignee:
SanDisk 3D LLC - Milpitas CA
International Classification:
H01L 21/44
US Classification:
438597, 257530, 257E2933, 257E29081, 257E29085
Abstract:
Methods involve using a memory array having memory cells comprising a diode and an antifuse, in which the antifuse is made smaller and programmed at lower voltage by using an antifuse material having a higher dielectric constant and a higher acceleration factor than those of silicon dioxide, and in which the diode is made of a material having a lower band gap than that of silicon. Such memory arrays can be made to have long operating lifetimes by using the high acceleration factor and lower band gap materials. Antifuse materials having dielectric constants between 5 and 27, for example, hafnium silicon oxynitride or hafnium silicon oxide, are particularly effective. Diode materials with band gaps lower than that of silicon, such as germanium or a silicon-germanium alloy, are particularly effective.
Memory With High Dielectric Constant Antifuses Adapted For Use At Low Voltage
Xiaoyu Yang - Campbell CA, US Roy E. Scheuerlein - Cupertino CA, US Feng Li - San Jose CA, US Albert T. Meeks - Sunnyvale CA, US
Assignee:
SanDisk 3D LLC - Milpitas CA
International Classification:
H01L 29/66
US Classification:
257209, 257530, 257E27111
Abstract:
A memory cell is provided that includes a diode and a resistance-switching material layer coupled in series with the diode. The resistance-switching material layer: (a) has a dielectric constant in the range of about 5 to about 27, and (b) includes a material from the family consisting of XO, wherein X represents an element from the family consisting of Hf and Zr, and wherein the subscripts v and w have non-zero values that form a stable compound. Other aspects are also provided.
Optical Imaging System With Direct Image Construction
Xuefeng Cheng - Milpitas CA, US Xiaorong Xu - Menlo Park CA, US Shuoming Zhou - Cupertino CA, US Lai Wang - Cupertino CA, US Ming Wang - San Jose CA, US Feng Li - San Jose CA, US Guobao Hu - San Jose CA, US
International Classification:
G01J005/02 A61B005/00
US Classification:
250/339120, 600/322000
Abstract:
The invention generally relates to optical imaging systems and methods for providing images of two-dimensional or three-dimensional spatial or temporal distribution of properties of chromophores in a physiological medium. More particularly, the following description provides preferred embodiments of optical imaging systems utilizing efficient, real-time image construction algorithms. A typical optical imaging system includes at least one wave source, at least one wave detector, a movable member, an actuator member, and an imaging member. The wave source emits electromagnetic waves into a target area of the medium, and the wave detector detects electromagnetic waves and generates output signal in response thereto. The movable member includes the wave source and/or detector, and the actuator member moves the movable member along with the wave source and detector over different regions of the target area while the wave detector generates the output signal therefrom. The imaging member generates a set of voxels in the target area and calculates voxel values each of which represents a spatial or temporal average of the property of the chromophore in each voxel. The imaging member generates a set of cross-voxels from the intersecting voxels, and calculates cross-voxel values of the cross-voxels directly from the voxel values of the intersecting voxels. The imaging member then constructs the images of the chromophore properties in the target area. Accordingly, without needing to resort to the time-consuming conventional image reconstruction methods, the optical imaging system of the present invention can construct such images on a substantially real time basis.
Independent Consultant Jun 2009 to 2000North America / Workbridge Associates Sunnyvale, CA Jul 2013 to May 2014 Mercedes-Benz Research & DevelopmentYahoo! / netPolarity Inc Santa Clara, CA Dec 2012 to May 2013iHear Medical Inc San Leandro, CA Feb 2012 to Jul 2012 Front End/UI DevelopmentNetpulse San Francisco, CA Feb 2011 to Dec 2011Android Platform
Nov 2010 to Feb 2011Cisco Networking Academy Santa Clara, CA Feb 2010 to Aug 2010Hobbyfan.com Emeryville, CA Jan 2008 to Jun 2009 Server Application DeveloperSony Computer Entertainment Foster City, CA Aug 2006 to Dec 2007 First Party Quality AnalystLeap Frog Emeryville, CA Dec 2005 to Apr 2006 Embedded Software Engineer (contractor)Prediwave Fremont, CA Dec 2003 to Apr 2005 Embedded Software EngineerArgent Software Houston, TX Jun 2003 to Aug 2003 Software DeveloperHurricane Electric Fremont, CA Feb 2003 to May 2003 Software DeveloperHobbyfan.com Emeryville, CA Sep 2002 to Feb 2003 E-Commerce Developer
Jan 2012 to Present Graduate StudentCisco System San Jose, CA Jul 2012 to Aug 2012 Software Development Intern in Network Operating System Technology GroupCitigroup Inc New York, NY May 2012 to Jun 2012 Quantitative Risk Management Intern in Global Consumer Risk GroupCalifornia Institute for Telecommunications and Information Technology
Dec 2010 to Jul 2011 Quantitative ResearcherCenter for Pervasive Communications and Computing
Jun 2008 to Nov 2010 Quantitative Researcher
Education:
CORNELL UNIVERSITY Ithaca, NY 2011 to 2012 M.Eng in Financial EngineeringTHE UNIVERSITY OF CALIFORNIA IRVINE Irvine, CA Oct 2007 to May 2011 Ph.D in Electrical and Computer EngineeringCITY UNIVERSITY OF HONG KONG Hong Kong, Hong Kong Island 2005 to 2007 M.Phil in Electronic EngineeringHARBIN INSTITUTE OF TECHNOLOGY Sep 2001 to Jul 2005 B.Eng in Telecommunications
Skills:
CFA II candidate........................ Course work: Fixed Income Securities and Interest Rate Options U.S. Bonds Market Derivatives Securities Stochastic Calculus Monte Carlo Simulation Linear Optimizations Financial Optimization Modeling Statistics and Data analysis for Financial Engineering Time Series Analysis Investment and Portfolio Management Monte Carlo Methods for Financial Engineering Computational Methods in Finance Quantitative Risk Management High-Frequency Trading........ Computer Skills: C, C++, Core Java, J2EE, C#, R, SAS, Matlab, Python, Perl, Linux/Unix, Windows, SQL, TCP/IP, Socket Programming, STL ................................. Math/Stats Skills: Stochastic Calculus, Partial Differential Equation, Statistics, Linear Regression, Time Series, Probability, Linear Algebra
Medical School Tufts University School of Medicine Graduated: 2002
Description:
Dr. Li graduated from the Tufts University School of Medicine in 2002. He works in Tyler, TX and specializes in Gastroenterology. Dr. Li is affiliated with Mother Francis Hospital.
Baidu - Sofeware Development Engineer (2011) Alstom China Technology Center - Sofeware Development Engineer (2009-2011) EMC R&D Center - Sofeware Development Engineer Intern (2008-2008)
Education:
Fudan University - Master, Computer Science, National University of Singapore - Research Assistant, Sichuan University - Computer Science
Tagline:
To be or not to be
Feng Li
Work:
Nanyang Technological University - PhD Student
Education:
Nanyang Technological University - Computer Engineering, Shandong University - Computer Science and Technology, Shandong Normal University - Computer Science and Technology