Adaptive Resource Allocation and Optimization Platform

Publication ID: 24-11857795_0007_PTD

Published: October 28, 2025

Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Adaptive Resource Allocation and Optimization Platform,” Published Technical Disclosure No. 24-11857795_0007_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857795_0007_PTD

This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,795.

Summary of the Inventive Concept

A novel system for optimizing resource allocation and utilization across various industries, leveraging advanced analytics and machine learning algorithms to maximize efficiency and minimize waste.

Background and Problem Solved

The original patent, 'Method and apparatus to perform electrode combination selection,' addressed the need for efficient electrode configuration selection in cardiac devices. However, its core technology can be repurposed to tackle resource allocation challenges in diverse industries. The inventive concept disclosed herein adapts this technology to optimize resource allocation, solving the problem of inefficient resource utilization and waste in manufacturing, agriculture, energy management, transportation, and cybersecurity.

Detailed Description of the Inventive Concept

The Adaptive Resource Allocation and Optimization Platform consists of a processor, memory, and advanced analytics capabilities. It collects data related to resource availability, production schedules, weather patterns, crop growth, energy consumption, traffic patterns, and network activity. The processor analyzes this data using machine learning algorithms to select optimal resource allocation strategies, predict crop yields, monitor and control energy consumption, optimize traffic flow, and detect anomalies in cybersecurity systems. The platform provides real-time updates, recommendations, and visualizations to facilitate informed decision-making.

Novelty and Inventive Step

The inventive concept's novelty lies in its application of electrode combination selection principles to diverse industries, introducing a new paradigm for resource allocation optimization. The inventive step resides in the adaptation of cardiac device technology to address complex resource allocation challenges, leveraging advanced analytics and machine learning to provide actionable insights.

Alternative Embodiments and Variations

Alternative embodiments of the platform could include cloud-based or edge computing deployments, integration with IoT devices, or the use of different machine learning algorithms. Variations could focus on specific industries, such as optimizing manufacturing workflows or detecting anomalies in industrial control systems.

Potential Commercial Applications and Market

The Adaptive Resource Allocation and Optimization Platform has vast commercial potential across various industries, including manufacturing, agriculture, energy management, transportation, and cybersecurity. It can help companies reduce costs, increase efficiency, and minimize waste, making it an attractive solution for businesses seeking to optimize their operations and stay competitive in their respective markets.

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Resource allocation and optimization systems, encompassing data processing, machine learning, and cross-domain analytics with expertise in signal processing, computational modeling, and system design

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in computer science, electrical engineering, or data science, possessing knowledge of machine learning algorithms, signal processing techniques, and experience in developing adaptive optimization platforms across multiple technical domains

Obviousness Rationale

The PTD demonstrates a predictable extension of the source patent's electrode configuration selection methodology by applying its core principles of systematic configuration analysis and optimization to diverse resource allocation scenarios. A PHOSITA would recognize the fundamental similarity in selecting optimal configurations through computational analysis, regardless of the specific domain. The machine learning and data processing techniques disclosed represent standard engineering approaches for translating domain-specific selection methodologies into generalized optimization strategies.

Obvious Combinations & Variations

Source Patent Element

Processor-based system for selecting electrode configurations with control logic for evaluating multiple potential configurations

PTD Variation

Processor-based system for selecting resource allocation strategies across manufacturing, agriculture, energy, and transportation domains

Obviousness Reasoning

Applying a known configuration selection methodology to alternative domains represents a predictable variation using standard engineering design choices and known computational techniques

Source Patent Element

Control logic for determining activation thresholds and user interface interactions

PTD Variation

Machine learning algorithms for detecting anomalies and providing real-time recommendations across different system contexts

Obviousness Reasoning

Extending threshold detection and user interaction principles to machine learning-based anomaly detection represents a known technique for expanding computational decision support systems

Source Patent Element

Method of systematically evaluating multiple electrode configurations for optimal performance

PTD Variation

Systematic evaluation of resource allocation strategies using multi-variable data analysis and optimization algorithms

Obviousness Reasoning

Translating systematic configuration evaluation from one technical domain to another constitutes a standard engineering approach for solving complex optimization problems

Source Patent Element

Processor and memory system for managing complex configuration selection processes

PTD Variation

Adaptive platform integrating processors, memory, and analytics for cross-domain resource optimization

Obviousness Reasoning

Generalizing a specialized medical device configuration system to a broader computational optimization platform represents a predictable technological evolution

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857795 and the disclosed Published Technical Disclosure, a person of ordinary skill in the art would find the claimed variations obvious through standard computational design techniques. The systematic approach to configuration selection and optimization demonstrates that the PTD's technical contributions represent predictable extensions of existing technological principles, rendering potential claims in this domain obvious and non-patentable under 35 U.S.C. Section 103.

Original Patent Information

Patent Number	US 11,857,795
Title	Method and apparatus to perform electrode combination selection
Assignee(s)	Cardiac Pacemakers, Inc.