18373425. FLEXIBLE HIERARCHICAL RULE EVALUATION SYSTEM simplified abstract (Insight Direct USA, Inc.)

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FLEXIBLE HIERARCHICAL RULE EVALUATION SYSTEM

Organization Name

Insight Direct USA, Inc.

Inventor(s)

Anes Hassane of Brooklyn NY (US)

Stelios Avramidis of Boston MA (US)

Thomas Richard Pankake of Prospect CT (US)

Sara Smiles of Brookhaven GA (US)

FLEXIBLE HIERARCHICAL RULE EVALUATION SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18373425 titled 'FLEXIBLE HIERARCHICAL RULE EVALUATION SYSTEM

Simplified Explanation

The abstract describes a method of performing rule evaluations using computer processors and digital storage media. It involves receiving input from sensors, determining which hierarchical nodes include a rule dependent on the input, retrieving the relevant nodes, and evaluating the rule to determine an output.

  • Receiving input from sensors
  • Determining hierarchical nodes with rules dependent on the input
  • Retrieving relevant nodes from digital storage media
  • Evaluating rules to determine output

Potential Applications

This technology could be applied in various industries such as:

  • Industrial automation
  • Smart home systems
  • Environmental monitoring

Problems Solved

This technology helps in:

  • Automating rule evaluations
  • Improving decision-making processes
  • Enhancing efficiency in data analysis

Benefits

The benefits of this technology include:

  • Faster rule evaluations
  • More accurate decision-making
  • Increased productivity and cost-effectiveness

Potential Commercial Applications

The potential commercial applications of this technology include:

  • Manufacturing automation systems
  • Energy management systems
  • Security and surveillance systems

Possible Prior Art

One possible prior art for this technology could be the use of rule-based systems in artificial intelligence and machine learning applications.

Unanswered Questions

How does this technology handle real-time data processing?

This article does not provide information on the real-time processing capabilities of the system. Real-time processing is crucial in many applications, so it would be important to understand how this technology addresses this requirement.

What is the scalability of this technology for large-scale systems?

The scalability of the system is not discussed in the article. It would be essential to know how well this technology can handle a large number of sensors and rules in a complex system.


Original Abstract Submitted

A method of performing rule evaluations, with the performance of the rule evaluations by at least one computer processor and storage of the rule evaluations by digital storage media, includes receiving a first input from a first sensor of a plurality of sensors; determining, by the at least one computer processor, which hierarchical nodes from a plurality of hierarchical nodes include a first rule that is dependent upon the first input; retrieving, from the digital storage media, the hierarchical nodes that include the first rule that is dependent upon the first input; and performing an evaluation of the first rule to determine a first output.