Li Dong Ma

US Patent:

8120330, Feb 21, 2012

Filed:

Sep 2, 2008

Appl. No.:

12/202736

Inventors:

Jaime Tseng - Saratoga CA, US
Peter Jie Guan - Fremont CA, US
Li Ma - San Jose CA, US

Assignee:

Linear Technology Corporation - Milpitas CA

International Classification:

H01M 10/46

US Classification:

320166

Abstract:

An oscillator that includes an energy storage system configured to store energy, a ramp circuit configured to generate an oscillating ramp signal having a slope that is a function of the amount of energy stored in the energy storage system, a charge circuit configured to controllably deliver energy into or remove energy from the energy storage system, a comparator circuit configured to compare the oscillating ramp signal with a reference signal; and/or a charge control circuit configured to cause the charge circuit to deliver energy into or remove energy from the energy storage system based on the comparison by the comparator circuit.

US Patent:

20120078821, Mar 29, 2012

Filed:

Sep 25, 2010

Appl. No.:

12/890641

Inventors:

Li Ma - Stanford CA, US
Wing H. Wong - Stanford CA, US

Assignee:

The Board of Trustees of the Leland Srandford Junior University - Palo Alto CA

International Classification:

G06F 15/18

US Classification:

706 12

Abstract:

The present disclosure describes an extension of the Pólya Tree approach for constructing distributions on the space of probability measures. By using optional stopping and optional choice of splitting variables, the present invention gives rise to random measures that are absolutely continuous with piecewise smooth densities on partitions that can adapt to fit the data. The resulting optional Pólya tree distribution has large support in total variation topology, and yields posterior distributions that are also optional Pólya trees with computable parameter values.

US Patent:

20160374087, Dec 22, 2016

Filed:

Jun 13, 2016

Appl. No.:

15/181354

Inventors:

- Hsinchu, TW
RongSheng Huang - Fremont CA, US
Li Ma - Sunnyvale CA, US
Chao-Chun Wang - Taipei City, TW

International Classification:

H04W 72/04
H04L 27/26
H04L 5/00

Abstract:

A unified channel contention scheme is proposed such that spatial reuse can be enabled by a wireless station (STA) when a basic service set (BSS) color of a received signal cannot be resolved. If the detected frame is an intra-BSS frame, then the STA should not contend the channel for the PPDU duration. If the detected frame is an inter-BSS frame, then the STA uses OBSS Packet Detection (OBSS-PD) level as the CCA level for channel contention. Furthermore, when BSS color cannot be resolved, channel contention schemes for WiFi signal and non-WiFi signal are differentiated. If the received signal is detected as WiFi signal, then the STA uses WiFi-SIG Detection (WD) level as the CCA level for channel contention. If the received signal is detected as non-WiFi signal, then the STA uses Non-WiFi-SIG Detection (NWD) level as the CCA level for channel contention.

US Patent:

20150120264, Apr 30, 2015

Filed:

Aug 19, 2014

Appl. No.:

14/462767

Inventors:

- Sugar Land TX, US
Wentao Zhou - Houston TX, US
Ji Li - Houston TX, US
JinYong Wu - Houston TX, US
Richard Carlin - Cypress TX, US
Benin Chelinsky Jeyachandra - Houston TX, US
Li Ma - Houston TX, US

International Classification:

G01V 99/00

US Classification:

703 10

Abstract:

Methods, systems, and non-transitory, computer-readable media for tuning a model of a subterranean domain. The method may include determining a relationship between a first parameter of the model and a second parameter of the model. A modification to the first parameter causes the second parameter to be modified according to the relationship. The method may also include receiving data representing a physical characteristic of a reservoir represented in the model of the subterranean domain, and modifying the first parameter based at least partially on the data. The method may also include modifying the second parameter based on the relationship, by operation of a processor. The method may further include updating the model using the first parameter and the second parameter after modifying the first parameter and after modifying the second parameter.