View source for 18297481. TIMED PARTIAL ORDER IDENTIFICATION FOR TASK LEARNING FROM DATA simplified abstract (TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC.)

=TIMED PARTIAL ORDER IDENTIFICATION FOR TASK LEARNING FROM DATA=


==Organization Name==

[[:Category:TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC.|TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC.]]


[[Category:TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC.]]

==Inventor(s)==

[[:Category:Kandai Watanabe of Boulder CO (US)|Kandai Watanabe of Boulder CO (US)]][[Category:Kandai Watanabe of Boulder CO (US)]]

[[:Category:Bardh Hoxha of Canton MI (US)|Bardh Hoxha of Canton MI (US)]][[Category:Bardh Hoxha of Canton MI (US)]]

[[:Category:Georgios Fainekos of Novi MI (US)|Georgios Fainekos of Novi MI (US)]][[Category:Georgios Fainekos of Novi MI (US)]]

[[:Category:Tomoya Yamaguchi of Plano TX (US)|Tomoya Yamaguchi of Plano TX (US)]][[Category:Tomoya Yamaguchi of Plano TX (US)]]

[[:Category:Danil Prokhorov of Canton MI (US)|Danil Prokhorov of Canton MI (US)]][[Category:Danil Prokhorov of Canton MI (US)]]

==TIMED PARTIAL ORDER IDENTIFICATION FOR TASK LEARNING FROM DATA - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18297481 titled 'TIMED PARTIAL ORDER IDENTIFICATION FOR TASK LEARNING FROM DATA

'''Simplified Explanation''': 

This patent application describes a system that processes timed traces to perform a task efficiently. 

* The system receives timed traces and stores them in memory.
* It generates a partial order graph of time constraints between the timed traces.
* A transitive reduced partial order graph is then created to eliminate redundant time constraints.
* Finally, a timed partial order graph is generated with the minimum number of clocks needed to explain the time constraints.

'''Key Features and Innovation''':

* Efficient processing of timed traces for task execution.
* Generation of partial order graphs to analyze time constraints.
* Reduction of redundant time constraints for improved accuracy.
* Minimization of clocks required for explaining time constraints.

'''Potential Applications''':

This technology can be applied in various fields such as:

* Task scheduling and optimization.
* Real-time systems design.
* Process automation and control.

'''Problems Solved''':

The system addresses the following issues:

* Efficient handling of timed traces for complex tasks.
* Reduction of redundant time constraints for better analysis.
* Minimization of clocks required for accurate time constraint representation.

'''Benefits''':

The technology offers the following benefits:

* Improved task execution efficiency.
* Enhanced accuracy in analyzing time constraints.
* Optimal resource utilization for task scheduling.

'''Commercial Applications''':

Title: Timed Traces Processing System for Task Efficiency

This technology can be utilized in industries such as:

* Manufacturing for process automation.
* Transportation for route optimization.
* Healthcare for patient scheduling.

'''Prior Art''':

Readers can explore prior research on timed traces processing systems and task scheduling algorithms to understand the evolution of this technology.

'''Frequently Updated Research''':

Stay updated on the latest advancements in task scheduling algorithms and real-time systems design to enhance the efficiency of timed traces processing systems.

'''Questions about Timed Traces Processing Systems''':

1. How does the system handle complex time constraints between timed traces?
   - The system generates partial order graphs to analyze and represent time constraints accurately.

2. What are the potential real-world applications of this technology?
   - This technology can be applied in various industries for task scheduling, process automation, and route optimization.


==Original Abstract Submitted==

A system is provided for use with a plurality of timed traces for performing a task. The system includes: a data receiver configured to receive the plurality of timed traces; a memory having instructions stored therein; and a processor configured to execute the instructions stored in the memory to cause the system to: store the received plurality of timed traces into the memory; generate a partial order graph of time constraints between all of the plurality of timed traces; generate a transitive reduced partial order graph from the partial order graph, the transitive reduced partial order graph not including redundant time constraints within the partial order graph; and generate a timed partial order graph from the transitive reduced partial order graph, the timed partial order graph having a minimum number of clocks required to explain the time constraints between all of the plurality of timed traces.



[[Category:G06Q10/0633]]
[[Category:CPC_G06Q10/0633]]