Eduardo E Sanchez

US Patent:

7021891, Apr 4, 2006

Filed:

Dec 18, 2002

Appl. No.:

10/323528

Inventors:

Eduardo A. Sanchez - San Francisco CA, US
James G. Maveety - San Jose CA, US
Gregory M. Chrysler - Chandler AZ, US

Assignee:

Intel Corporation - Santa Clara CA

International Classification:

F01D 3/02

US Classification:

415 98, 415203, 416183, 416184, 416185, 361695

Abstract:

A back-to-back double-flow bi-directional thrust-balanced micro-impeller for use in optimized compression cycles of small volumetric flow rates is provided. The back-to-back micro-impeller is a component of a compressor capable of generating a pressure head suitable for maintaining the flow rate needed for dissipating heat, such as produced by an electronic component. The back-to-back micro-impeller provides a fluid path on both sides of the micro-impeller, imparting an equal momentum (or velocity) to the fluid. The left and right compressor sections provide a balancing of forces generated by high-pressure fluid against the two sides of the micro-impeller. This reduces vibrational forces and provides a balancing force on the shaft which reduces the thrust on the shaft in a direction away from the gas flow path. Also, the approximately equally distributed mass about the rotation axis X, provides for a balanced impeller which is desirable when operated at high rotation speeds.

US Patent:

20200380033, Dec 3, 2020

Filed:

Oct 31, 2019

Appl. No.:

16/671144

Inventors:

- Cupertino CA, US
Abhinav Pathak - Campbell CA, US
Anthony R. Newnam - Mountain View CA, US
Anshul Dawra - Campbell CA, US
Matthew Smith - San Francisco CA, US
Scott C. Tooker - Santa Clara CA, US
Tianhe Wu - Cupertino CA, US
Aditya Bhushan - Pittsburgh PA, US
Hina Dixit - San Jose CA, US
Conor O'Reilly - San Jose CA, US
Rohit Mundra - San Jose CA, US
Eduardo Sanchez - San Jose CA, US
Anca A. Chandra - Los Gatos CA, US
Yue Li - Cupertino CA, US

International Classification:

G06F 16/904
G06K 9/62
G06F 17/18

Abstract:

Embodiments of the present disclosure present devices, methods, and computer readable medium for techniques for measuring operational performance metrics, and presenting these metrics through an application programming interface (API) for developers to access for optimizing their applications. Exemplary metrics can include central processing unit or graphics processing unit time, foreground/background time, networking bytes (per application), location activity, display average picture luminance, cellular networking condition, peak memory, number of logical writes, launch and resume time, frame rates, and hang time. Regional markers can also be used to measure specific metrics for in application tasks. The techniques provide multiple user interfaces to help developers recognize the important metrics to optimize the performance of their applications. The data can be normalized over various different devices having different battery size, screen size, and processing requirements. The user interfaces can provide an intelligent method for visualizing performance changes for significant changes in application versions.

US Patent:

20180060783, Mar 1, 2018

Filed:

Aug 26, 2016

Appl. No.:

15/249309

Inventors:

- Florham Park NJ, US
Mudita Singhal - Santa Clara CA, US
Kevin Albanese - Tarrytown NY, US
Farrukh Ali - Los Angeles CA, US
Eric A. Bier - Palo Alto CA, US
Daniel G. Bobrow - Palo Alto CA, US
Eduardo Cardenas Sanchez - Austin TX, US
Matthew T. Darst - Chicago IL, US
Gaurang Gavai - San Francisco CA, US
Robert T. Krivacic - San Jose CA, US
Sureyya Tarkan - Palo Alto CA, US

International Classification:

G06Q 10/06

Abstract:

A system and method for motivating parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

US Patent:

20180060790, Mar 1, 2018

Filed:

Aug 26, 2016

Appl. No.:

15/249315

Inventors:

- Florham Park NJ, US
Mudita Singhal - Santa Clara CA, US
Kevin Albanese - Tarrytown NY, US
Farrukh Ali - Los Angeles CA, US
Eric A. Bier - Palo Alto CA, US
Daniel G. Bobrow - Palo Alto CA, US
Eduardo Cardenas Sanchez - Austin TX, US
Matthew T. Darst - Chicago IL, US
Hoda Eldardiry - San Carlos CA, US
Gaurang Gavai - San Francisco CA, US
Robert T. Krivacic - San Jose CA, US
Sureyya Tarkan - Palo Alto CA, US

International Classification:

G06Q 10/06
G07B 15/02

Abstract:

A system and method for coordinating parking enforcement officer patrol in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and ongoing activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

US Patent:

20180060795, Mar 1, 2018

Filed:

Aug 26, 2016

Appl. No.:

15/249279

Inventors:

- Florham Park NJ, US
Mudita Singhal - Santa Clara CA, US
Kevin Albanese - Tarrytown NY, US
Farrukh Ali - Los Angeles CA, US
Eric A. Bier - Palo Alto CA, US
Daniel G. Bobrow - Palo Alto CA, US
Eduardo Cardenas Sanchez - Austin TX, US
Matthew T. Darst - Chicago IL, US
Hoda Eldardiry - San Carlos CA, US
Gaurang Gavai - San Francisco CA, US
Lu (Kate) Jia - San Jose CA, US
Robert T. Krivacic - San Jose CA, US
Sureyya Tarkan - Palo Alto CA, US

International Classification:

G06Q 10/06
G07B 15/02

Abstract:

A system and method for facilitating parking enforcement officer performance in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

US Patent:

20180060796, Mar 1, 2018

Filed:

Aug 26, 2016

Appl. No.:

15/249299

Inventors:

- Florham Park NJ, US
Mudita Singhal - Santa Clara CA, US
Kevin Albanese - Tarrytown NY, US
Farrukh Ali - Los Angeles CA, US
Eric A. Bier - Palo Alto CA, US
Daniel G. Bobrow - Palo Alto CA, US
Eduardo Cardenas Sanchez - Austin TX, US
Matthew T. Darst - Chicago IL, US
Hoda Eldardiry - San Carlos CA, US
Gaurang Gavai - San Francisco CA, US
Lu (Kate) Jia - San Jose CA, US
Robert T. Krivacic - San Jose CA, US
Pai Liu - Sunnyvale CA, US
Sureyya Tarkan - Palo Alto CA, US

International Classification:

G06Q 10/06
G07B 15/02

Abstract:

A system and method for monitoring parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

US Patent:

20180060797, Mar 1, 2018

Filed:

Aug 26, 2016

Appl. No.:

15/249301

Inventors:

- Florham Park NJ, US
Mudita Singhal - Santa Clara CA, US
Kevin Albanese - Tarrytown NY, US
Farrukh Ali - Los Angeles CA, US
Eric A. Bier - Palo Alto CA, US
Daniel G. Bobrow - Palo Alto CA, US
Eduardo Cardenas Sanchez - Austin TX, US
Matthew T. Darst - Chicago IL, US
Hoda Eldardiry - San Carlos CA, US
Gaurang Gavai - San Francisco CA, US
Robert T. Krivacic - San Jose CA, US

International Classification:

G06Q 10/06
G07B 15/02

Abstract:

A system and method for managing coverage of parking enforcement for a neighborhood with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

US Patent:

20180060798, Mar 1, 2018

Filed:

Aug 26, 2016

Appl. No.:

15/249305

Inventors:

- Florham Park NJ, US
Mudita Singhal - Santa Clara CA, US
Kevin Albanese - Tarrytown NY, US
Farrukh Ali - Los Angeles CA, US
Eric A. Bier - Palo Alto CA, US
Daniel G. Bobrow - Palo Alto CA, US
Eduardo Cardenas Sanchez - Austin TX, US
Matthew T. Darst - Chicago IL, US
Hoda Eldardiry - San Carlos CA, US
Gaurang Gavai - San Francisco CA, US
Robert T. Krivacic - San Jose CA, US
Pai Liu - Sunnyvale CA, US
Sureyya Tarkan - Palo Alto CA, US

International Classification:

G06Q 10/06
G07B 15/02

Abstract:

A system and method for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.