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Doron Paz

from Plano, TX
Age ~63
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Related to:
Marc R Swanson, 55Renee M Beshwate, 53Dale Allen Looper, 58Leticia L Swanson, 55Lynnette K Duchi, 56Sandra PazNatasha Paz, 34Sandra Paz, 61Joshua Paz, 30
Connected to:
Andry Y Paz, 48Ann M Paz, 43Arnold PazAurelia Paz, 98Avi Paz, 84Bonnie J Paz, 42Bulmaro Paz, 69Carolyn E Paz, 80Celeste A Paz, 69Cesar A Paz, 83

Doron Paz Phones & Addresses

  • Plano, TX
  • Tulsa, OK
  • Roswell, GA
  • 1827 Saint Charles St, Alameda, CA 94501 (510) 529-6211 (510) 748-9870
  • 899 Union St, Alameda, CA 94501
  • 3126 Stallings Dr, Napa, CA 94558

Publications

Us Patents

Multi-Motor Switching Control System And Method For Increased Efficiency And Energy Savings

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US Patent:
20210323416, Oct 21, 2021
Filed:
May 6, 2021
Appl. No.:
17/314010
Inventors:
- Floriana, MT
Doron Paz - Alameda CA, US
Duo Zhang - Lakewood OH, US
Mattias Bergstrom - Tenerife, ES
International Classification:
B60L 15/20
B60K 1/02
G01C 21/34
B60L 7/10
Abstract:
A multi-motor switching system and method for obtaining a global optimization of performance criteria that takes into account variables and conditions across an entire driving cycle. The controller of the system is adapted to conduct a global optimization in that it determines the most optimal distribution of motor loads over an entire trip or driving cycle, as opposed to sequentially determining the optimized solution for a given point of time and localized set of current condition. In one embodiment where the control system provides for global optimization, the controller receives trip information through a trip planning tool. The controller utilizes the trip information to generate a driving cycle and further incorporates this information into the optimization process performed by the controller to determine the optimal solution for the entire trip.

Adaptive Overlay Network Architecture

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US Patent:
20210273884, Sep 2, 2021
Filed:
Feb 11, 2021
Appl. No.:
17/173225
Inventors:
- Floriana, MT
Doron Paz - Alameda CA, US
William C. Erbey - Christiansted VI, US
Duo Zhang - Lakewood OH, US
International Classification:
H04L 12/801
H04L 29/08
Abstract:
The adaptive overlay network architecture of the present invention improves the performance of applications distributing digital content among nodes of an underlying network such as the Internet by establishing and reconfiguring overlay network topologies over which associated content items are distributed. The present invention addresses not only frequently changing network congestion, but also interdependencies among nodes and links of prospective overlay network topologies. The present invention provides a prediction engine that monitors metrics and predicts the relay capacity of individual nodes and links (as well as demand of destination nodes) over time to reflect the extent to which the relaying of content among the nodes of an overlay network will be impacted by (current or future) underlying network congestion. The present invention further provides a topology selector that addresses node and link interdependencies while redistributing excess capacity to determine an overlay network topology that satisfies application-specific performance criteria.

Multi-Motor Switching System And Method For Optimized Performance

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US Patent:
20210031634, Feb 4, 2021
Filed:
Jul 31, 2020
Appl. No.:
16/945744
Inventors:
- Floriana, MT
Doron Paz - Alameda CA, US
Duo Zhang - Lakewood OH, US
Mattias Bergstrom - Tenerife, ES
International Classification:
B60L 15/20
B60K 1/02
G01C 21/34
B60L 7/10
Abstract:
A multi-motor switching system and method for obtaining a global optimization of performance criteria that takes into account variables and conditions across an entire driving cycle. The controller of the system is adapted to conduct a global optimization in that it determines the most optimal distribution of motor loads over an entire trip or driving cycle, as opposed to sequentially determining the optimized solution for a given point of time and localized set of current condition. In one embodiment where the control system provides for global optimization, the controller receives trip information through a trip planning tool. The controller utilizes the trip information to generate a driving cycle and further incorporates this information into the optimization process performed by the controller to determine the optimal solution for the entire trip.
Control profile
Doron Paz from Plano, TX, age ~63 Get Report