Wayne T. Holcombe - Mountain View CA, US Robert Gordon Farmer - Modesto CA, US
Assignee:
Silicon Laboratories Inc. - Austin TX
International Classification:
H01L 27/15 H01L 29/267 H01L 31/12 H01L 33/00
US Classification:
257433, 257 81, 438 25
Abstract:
An optoisolator device is shown having a die attachment device with a planar surface. A first circuit die has first and second planar surfaces and a first side surface. A receiver circuit and a first photodiode are formed on the first planar surface of the first circuit die, where the first photodiode is electrically coupled to the receiver circuit. The second planar surface of the first circuit die is attached to the planar surface of the die attachment device. A second circuit die has a transmitter circuit that includes a first light emitting diode and is attached to the die attachment device in a position adjacent to the first side surface of the first circuit die. A clear plastic layer is formed on the planar surface of the die attachment device over the first and second circuit dies. An opaque layer may be formed over the clear plastic layer.
Wayne T. Holcombe - Mountain View CA, US Pavel Konecny - Sunnyvale CA, US Miroslav Svajda - Sunnyvale CA, US Jean-Luc Nauleau - Los Gatos CA, US Robert Gordon Farmer - Modesto CA, US
Assignee:
Silicon Laboratories Inc. - Austin TX
International Classification:
H04B 10/00
US Classification:
398138, 398135, 398130, 398128, 398115
Abstract:
A communication device is disclosed having optical and near-field communication capability. The device includes an optical transceiver circuit fabricated on an integrated circuit die and configured to transmit and receive far field signals. A near field transceiver circuit is also fabricated on the integrated circuit die and is configured to transmit and receive near-field electro-magnetic signals. Control circuitry is provided to selectively enable the optical transceiver circuit and the near field transceiver circuit responsive to an external control signal.
Determining Matches Using Dynamic Provider Eligibility Model
- San Francisco CA, US Robert Anthony Farmer - San Mateo CA, US Krishna Kumar Selvam - San Francisco CA, US
International Classification:
G01C 21/34 G01C 21/36 H04W 4/029 H04W 4/02
Abstract:
Embodiments provide techniques, including systems and methods, for determining matches of requestors and providers based on a dynamic provider eligibility model. For example, a request matching model uses an estimated arrival time for a requestor and estimated travel times for available providers to a pickup location to determine eligible providers for matching to a ride request. The matching model determines those providers that are far enough away from the request location to allow the requestor time to arrive at the pickup location without matching providers that are too far away, causing delay for the requestor and lowering the efficiency of the system by taking provider system resources from other service areas and increasing provider downtime upon matching. Additionally, embodiments provide more efficient matching processing leading to fewer canceled matched requests, fewer requests for a successful match, and fewer system resources necessary to meet requestor demand.
Efficiency Of A Transportation Matching System Using Geocoded Provider Models
- San Francisco CA, US Ehud Milo - San Mateo CA, US Omar Khalid - Redmond WA, US Amy J. Kim - San Francisco CA, US Jacky Yi Han Lu - San Mateo CA, US Richard Zhao - San Francisco CA, US Robert A. Farmer - San Francisco CA, US
International Classification:
G06Q 10/06 G06N 20/00
Abstract:
This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.
Determining Matches Using Dynamic Provider Eligibility Model
- San Francisco CA, US Robert Anthony Farmer - San Mateo CA, US Krishna Kumar Selvam - San Francisco CA, US
International Classification:
G01C 21/34 G01C 21/36 H04W 4/029 H04W 4/02
Abstract:
Embodiments provide techniques, including systems and methods, for determining matches of requestors and providers based on a dynamic provider eligibility model. For example, a request matching model uses an estimated arrival time for a requestor and estimated travel times for available providers to a pickup location to determine eligible providers for matching to a ride request. The matching model determines those providers that are far enough away from the request location to allow the requestor time to arrive at the pickup location without matching providers that are too far away, causing delay for the requestor and lowering the efficiency of the system by taking provider system resources from other service areas and increasing provider downtime upon matching. Additionally, embodiments provide more efficient matching processing leading to fewer canceled matched requests, fewer requests for a successful match, and fewer system resources necessary to meet requestor demand.
Determining Matches Using Dynamic Provider Eligibility Model
- San Francisco CA, US Robert Anthony Farmer - San Mateo CA, US Krishna Kumar Selvam - San Francisco CA, US
International Classification:
G01C 21/34 H04W 4/02 G01C 21/36
Abstract:
Embodiments provide techniques, including systems and methods, for determining matches of requestors and providers based on a dynamic provider eligibility model. For example, a request matching model uses an estimated arrival time for a requestor and estimated travel times for available providers to a pickup location to determine eligible providers for matching to a ride request. The matching model determines those providers that are far enough away from the request location to allow the requestor time to arrive at the pickup location without matching providers that are too far away, causing delay for the requestor and lowering the efficiency of the system by taking provider system resources from other service areas and increasing provider downtime upon matching. Additionally, embodiments provide more efficient matching processing leading to fewer canceled matched requests, fewer requests for a successful match, and fewer system resources necessary to meet requestor demand.
Dec 2010 to Jun 2013 Maintenance TechnicianElectrical Production
Aug 2010 to Dec 2010Chrysler Corporation
Mar 1995 to Oct 2008 Team Leader and Assembler
Education:
Vatterott College Jun 2010 to Dec 2010 Associate in Electrical MechanicsNational Center for Construction Mar 2009 to May 2010 HVAC Certification Type I
Humansville, Mo Oxford, Ms Parris Island, SC Fayetteville, NC Washington, DC Tucumcari, NM San Leandro, CA Berkeley, CA Albuquerque, NM San Francisco, CA Minneapolis, MN Houston, TX Birmingham, AL Sterling, MA Denver, CO
Education:
Ole Miss - History, Ole Miss - Classics, U of New Mexico - Economics, University of California, Berkeley - CompSci, University of Minnesota - CompSci - Graduate School, Boston University - Paralegal
Relationship:
Married
Robert Farmer
Lived:
Sacramento, CA Hayward, CA Richmond, CA Oakland, CA
Work:
Pit Stop Mobile - Owner (2009)
Education:
Wyo Tech - Automotive & Collision
Relationship:
Married
Bragging Rights:
I'm a automotive tech, with 6 kids
Robert Farmer
Work:
Cityweb AB - Webbutvecklare (Apr 27, 2011) Keback AB - Originalare ( 6, 2010-2011)
Education:
Gotland College - Dataspelsutveckling - grafik, University College of Skövde - Dataspelsutveckling - grafik
Robert Farmer
Lived:
Berkeley, CA
Work:
Morgan Stanley - Investment Banking Analyst
Education:
University of California, Berkeley
Robert Farmer
Education:
Robert S. Alexander high
Robert Farmer
Education:
University of Oregon - Psychology
Tagline:
Recent University of Oregon graduate living the dream one day at a time
Rena B. Wright Elementary School Chesapeake VA 1955-1957, Woodstock Elementary School Virginia Beach VA 1957-1962, Kempsville Jr. High School Virginia Beach VA 1963-1965