Digital Commons Network^™

Method And System For Cognitive Optimization Of Distributed Engines Framework, Swagat Kumar, Amitabh Ranjan, Soumendra Kumar Mishra

Defensive Publications Series

Present disclosure provides a method and system for cognitive optimization of distributed engines framework. The present disclosure discloses a telemetry-driven optimization system designed to elevate the performance and efficiency of distributed data pipelines operating on Hadoop YARN. The system harnesses the analytical power of Large Language Models (LLMs) and a standardized Model Context Protocol (MCP). Further, the system identifies and remediates inefficiencies in application code, resource allocation, and cluster configurations. The system seamlessly integrates with developer workflows, enabling automated diagnostics and corrective actions while embedding feedback loops for continuous learning and improvement. Thus, present disclosure discloses the architecture and implementation …

Multi Agent Reinforcement Learning Using Swarm Intelligence To Implement Network Policy Translation, Priyanka Bansal, Pattamsetti Anurag, Anirudh Kashyap, Meghana Vakkalanka

Defensive Publications Series

Techniques herein provide a verifiable, automated solution for translating network policies across diverse vendor environments. The techniques utilize a novel Semantic-Behavioral Policy Equivalence (SBPE) Framework to mathematically guarantee identical policy behavior, complemented by reinforcement learning to facilitate intelligent, adaptive, and efficient operational execution. This significantly reduces complexity and risk in multi-vendor network management environments.

Explainable Large Language Model (Llm) Multi-Agent System Analyzer With Interactive Bayesian Reasoning Interface, Andrea Morandi

Defensive Publications Series

Conventional large language model (LLM)-based multi-agent systems suffer from a critical lack of transparency and explainability, making it difficult for users to understand why agents make specific decisions or how they interact with each other. To address these challenges, the techniques presented herein provide an Explainable LLM Multi-Agent System Analyzer that uses Bayesian networks to model agent interactions and provide an Interactive Explanation Interface with “Why” and “What If” capabilities. This system allows users to probe the multi-agent system’s decisions through natural language queries, generating explanations and simulations that reveal the underlying reasoning processes and causal relationships between agents.

Device Registration Key Retrieval

Defensive Publications Series

The present disclosure generally relates to device manufacturing, and more particularly to security keys for device registration.

Wearable Device As A Motion-Based Controller For A Game Application, Chang Yungsheng, Weihsiang Hung

Defensive Publications Series

Gaming on certain devices, for example mobile phones, can rely on on-screen virtual controls, which may result in a user's hands obstructing the display, accidental button presses, or inadvertent dimming of the screen. This disclosure describes a method for integrating a wearable device, such as a smartwatch, with a separate display device, such as a mobile phone or tablet, for game control. The system can use the wearable device's integrated Inertial Measurement Unit (IMU) to sense a user's physical motions, position, and orientation. This motion data may then be transmitted to the display device to serve as input for controlling …

Artificial Intelligence Workload Orchestration And Execution In Software-Defined Vehicles, Eser Erdem, Markus Vill

Defensive Publications Series

This document describes techniques that enable a computing system to manage artificial intelligence (AI) and machine learning (ML) workloads in software defined vehicles (SDVs) through a unified, modular operating system for SDVs. SDVs may take advantage of distributed processing and hardware abstraction through virtualization, using standardized interfaces (e.g., virtio) to allow applications to run on any compliant virtual machine (VM) or Electronic Control Unit (ECU) within the vehicle. For instance, the vehicle’s internal architecture may include a multi-node (or multi-VM) AI workload orchestration framework that distributes tasks to available hardware, supports dynamic service deployment, and facilitates updates. The computing system …

Generation Of Animated Video Sequences From Static Images Using A Structured Motion Graphics Plan, Kyle Lampert

Defensive Publications Series

Creating animated video sequences from static images to support a narration can be a time-consuming and skill-intensive process. A described method may automate aspects of generating documentary-style motion graphics. A system can receive a static image and a narrative description as inputs. For example, a first artificial intelligence (AI) model can perform an analysis to identify relevant points of interest in the image. Subsequently, a second AI model may generate a structured motion graphics plan that defines a sequence of virtual camera movements and on-screen annotations. A rendering engine can then interpret this plan to produce a video file, which …

Account Creation And Provisioning Using Virtual Identity Card, Andreas Zingler Aabye

Defensive Publications Series

Embodiments allow for binding an account number (e.g., a primary account number (PAN)) with a digital identity card (e.g., mobile driver’s license (mDL)). During a transaction between a user (e.g., account holder) and a transacting entity (e.g., merchant, resource provider), where the user presents a token associated with the PAN, even though the user ID information is not shared with the transacting entity, the transaction processing server can know that the user ID information was linked in the past from the binding between the PAN and the digital ID and can verify authenticated use (or identify fraudulent use) immediately.

Hands-Free Item Confirmation And List Management Using A Wearable Device, Omar Estrada Diaz

Defensive Publications Series

Managing shopping lists on handheld devices is inefficient for shoppers who need both hands free. This is particularly true for professional shoppers who are compensated to shop for and deliver groceries or other retail goods on behalf of customers. Conventional workflows for professional shoppers require them to constantly hold, view, and interact with a smartphone, which is clumsy when handling items, opening refrigerated cases, weighing produce, and so forth. Accordingly, this disclosure addresses the problem with a hands-free list management solution. A wearable device, such as smart glasses equipped with a camera, may display the shopping list and automates item …

Compressed Majority Judgment Ballot With Merkle And Aggregated Pqc Signature, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 license. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French IPC/CPI Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). This publication is covering a complete, implementable stack for sovereign, post-quantum Majority Judgment (JM) e-voting: compact 3-bit ballots, Merkle aggregation, PQC signatures, DID-based eligibility, Kyber+threshold …

Inverse Flynn Effect: Analysis Of Causes, Solutions And Foresight Scenarios, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 license. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French IPC/CPI Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). This publication addresses the inverse Flynn effect through 65 enabling innovations across devices, assays, AI, closed-loop protocols, materials, therapies, manufacturing, imaging, delivery, data standards, UX, …

Revolutionary Technologies To Extend Lifespan And Personalize Medicine, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 license. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French IPC/CPI Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). It consolidates 100 enabling embodiments spanning gold nanomedicine (photothermal ablation, CRISPR-Gold delivery, nanozymes, theranostics), whole-body sensing (MRI, OPM/EEG, exposome), imaging/reconstruction (photoacoustics, DECT, PCD-CT), AI (digital …

A System For Providing Language Models With Contextual Guidance Discovered From Software Library Packages, Michael Bleigh

Defensive Publications Series

Large language model (LLM) based coding agents may exhibit inconsistency when using software libraries, for example, by referencing outdated APIs from training data or generating calls to non-existent APIs. Some existing mechanisms for providing supplemental context may involve manual discovery and configuration by the user. A described system and associated standard allows library authors to package guidance, which may be specific to language models, directly within their distributable software package, for instance, in a dedicated directory. Tooling can be configured to discover this guidance across a project's dependencies, aggregate it, and provide it to a coding agent in a structured, …

A Method For Assessing Token Importance In Code-Switched Text Through Language Boundary Analysis, Mithun Kumar S R

Defensive Publications Series

Existing explainable AI (XAI) attribution methods for natural language processing (NLP) models may have difficulty determining token importance in code-switched text, potentially leading to explanations that do not fully capture the emphasis conveyed by switching languages or the structural role of words at language boundaries. A method is described that can address this by performing token-level language identification to locate boundaries between languages in an input text. A contextual weighting engine can then assign weights to tokens within a code-switched segment and to boundary tokens adjacent to the switch. These weights may be used to modulate raw attribution scores generated …

A System For Synchronizing Artificial Intelligence Model Context With External Data Sources, Colby Hawker, Piyush Arora

Defensive Publications Series

Artificial intelligence (AI) models that depend on context from external data sources may produce outdated responses as underlying information, such as database schemas or web content, changes over time. The described system compartmentalizes AI model context into static and dynamic components. A static context may comprise fixed rules, safety policies, and format requirements. A dynamic context can be populated by a user-provided script configured to run at a specified frequency. This script can fetch, structure, and cache data from external sources, for instance APIs or databases, using stored credentials. This method allows AI models to operate with more current information …

Transitioning A Generative Model-Powered Assistant Into Translation Mode, Andrew Hard, Shujian Zhang, Aditya Barua, John Lambert, Wenxuan Zhou

Defensive Publications Series

Conversational large language models (LLMs) often have limited capabilities when functioning as a real-time interpreter. These models can fail to follow instructions consistently, resulting in responses in the incorrect language or attempts to answer a user's question instead of providing a direct translation. This issue stems from a lack of training data that reflects the typical turn-by-turn, interleaved conversation flow between two speakers of different languages. Some implementations are directed to transitioning a generative model-powered assistant into a translation mode in which the assistant facilitates structured conversational turns between two users speaking different languages, with the generative model acting as …

Resonanceos The Firmware Of Reality (((Qpie))) Prior Art Claims, Teddy Burroughs

Defensive Publications Series

(((QPIE))) ResonanceOS: A Manifesto and Public Invitation to the Hidden Firmware of Reality

Timestamp: September 17, 2025 — America/New_York Author: Ted Funding, Avision4Change ([email protected])

1) Opening Invocation — A Quantum Gift for the People

We begin with a claim that carries the weight of centuries: reality runs on hidden firmware. Beneath the equations, beneath the models, beneath the arguments about what is real, there is resonance — patterns of coherence moving through apparent noise. For too long, institutions have thrown away the noise, treating it as nuisance rather than teacher. For too long, we have fragmented our sciences, …

Method To Detect Forged Wi-Fi Access Points By Verifying Ownership, Gajendar Pandey, Suresh Gopathy

Defensive Publications Series

Many public Wi-Fi networks are vulnerable to "Evil Twin Attacks" in which rogue access points can be deployed that may mimic legitimate networks in an effort to steal sensitive user information or the like. Techniques herein address such issues by providing Wi‑Fi clients/users with the ability to verify network ownership before joining a Wi-Fi network. This eliminates the attack surface by enabling Wi-Fi clients/users to trust the W-Fi access points to which they connect.

Enhancing Payment Card Autofill With Purchase-Related Benefits Information, Tushar Mittal, Kandarp Joshi, Zhusong Li, Carlos Santos

Defensive Publications Series

This disclosure describes autofill techniques that enable a user to easily choose an optimal payment method when paying for purchases online. Per the techniques, a database of payment cards and associated information such as rewards and benefits is constructed automatically by accessing information available at card provider websites and using a large language model (LLM) to parse the information. With user permission, when the user initiates a purchase, their shopping context (e.g., seller platform, item categories, amounts, etc.) is accessed and their stored payment cards are compared against the database to identify the optimal payment method. This payment method is …

Hamiltonian-Based Quantum Generative Autoencoder System And Method Thereof, Fuming Guo

Defensive Publications Series

The present disclosure relates to a system and method for Hamiltonian-Based Quantum Generative Autoencoder. The autoencoder leverages a novel Hamiltonian based quantum Al generative model to resolve anomaly detection in financial transaction data. An hybrid architecture, i.e., potential of quantum computing and generative AI based approach is leveraged in this disclosure to capture complex patterns and correlations in high-dimensional financial data. This system employes a series of parameterized Hamiltonians at least for processes like encoding, latent space representation, and decoding, which are implemented as quantum circuits using Trotterization techniques. Particularly, the system incorporates physical-inspired principles into the area of financial …

A Payment Data Sharing Control System With A Personal Ai Agent In Retail Transactions, Visa

Defensive Publications Series

The present disclosure relates to systems and methods for controlling payment data sharing and approval with a personal AI agent in a payment system. The system includes a payment card that incorporates a sharing controller to hold a binary value determining whether to allow or prevent the sharing of payment transaction data with the personal AI agent. The payment terminal is configured to read this binary value, and the payment service provider or payment gateway processes the transaction based on the retrieved data. Further, the methods involve configuring financial preferences with the AI agent, sharing payment transaction data during a …

Quantum Financial System And Blockchain: Global Comparative Analysis, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 license. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French IPC/CPI Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). It consolidates fifty modular inventions enabling a quantum-resilient, ESG-aware financial stack: hybrid consensus, post-quantum wallets, sovereign DID+SBT identity, offline LoRa/SMS light clients, programmable compliance (APR …

Critical Technological Slots For Orbital Propulsion And Cryogenics: An Open Exploratory Framework, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 license. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French IPC/CPI Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). It discloses 84 enabling inventions for superconducting electrodynamic tethers (HTS/REBCO), inflatable magnetosails, thermo-MHD re-entry shields, and closed-loop cryogenic management (EFR), including SOPs, QA/bench protocols, control …

Development Of Multi-Sector Negentropic Engineering, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 license. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French IPC/CPI Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). The booklet consolidates 140 enabling proposals that reduce entropy and maximise negentropy across materials, devices, buildings, urban grids, medicine, logistics, and space systems. Each entry …

Bus Wire Designs For Minimizing Visibility Of Diffraction Artifacts, Kellie Shaw

Defensive Publications Series

A transparent panel includes an optically transparent substrate, and a plurality of electrically conducting tracks disposed over a surface of the substrate, the plurality of tracks arranged in intersecting rows and columns and defining therebetween an array of pixels having substantially identical areal shape and dimensions, where the tracks have a periodic shape of varying amplitude and frequency, with a peak-to-peak variability in the amplitude being less than approximately 10%.

Neurolinkx: Advanced Ai-Powered Automation And Cloud Solutions Enabling Digital Transformation In Enterprises, Arjun N. Chaurasiya, Neurolinkx It Solutions & Services

Defensive Publications Series

NeuroLinkX IT Solutions & Services, headquartered in Kanpur Nagar, India, is pioneering innovative technology solutions that enable enterprises to transform digitally and remain competitive in the modern era.
This technical disclosure details our advanced contributions in the field of IT innovation, focusing on three core solutions:

1. AI-Powered Predictive Maintenance Platform – Utilizing advanced machine learning algorithms, this solution continuously monitors industrial equipment in real time, accurately predicting potential failures. It helps industrial enterprises reduce downtime, lower maintenance costs, and improve asset efficiency.

2. Real-Time Executive Analytics Dashboard – Designed for business leaders, this dashboard aggregates multi-source data into intuitive visualizations, enabling …

   ---

   Go to article

Converting 3-Stage Huffman Encoder To A Single-Stage Encoder, N/A

Defensive Publications Series

A single-stage Huffman encoder may be built offline to simplify an encoding process and reduce latency and/or complexity associated with encoding. The process for Huffman encoding includes frequency analysis for determining frequencies of symbols in input data, constructing a binary tree where the most frequent symbols are assigned shorter codewords to represent them, and encoding values for the input data using the codewords. A codebook that includes the codewords representing all symbols represented in the binary tree is made available to both the encoder and decoder simultaneously. The values can be encoded by selecting a codebook applicable for a given …

Ai-Driven Generation Of Personalized Movies With Dynamic Character Integration, Gaurav Umeshkumar Gupta

Defensive Publications Series

This disclosure describes a platform that leverages AI to generate personalized cinematic narratives, shifting the user experience from passive viewing to active co-creation. The platform enables users to co-create scripts, integrate their likeness into characters, and experience unique, on-demand movies. The platform operates in two primary modes: a full-generation mode for creating original movies based on user prompts and likeness data, and a variable character movie (VCM) mode where users can insert their likeness into pre-defined variable character slots within professionally produced films. A modular architecture is described that includes an AI orchestration engine, script generation, character integration, video synthesis, …

Automated Bug Tracking And Resolution Using An Artificial Intelligence Agent, Alankrit Kharbanda, Sowmya Dayanand

Defensive Publications Series

Traditional bug triage and resolution can be inefficient and time consuming. This disclosure describes techniques of bug triage that use artificial intelligence (AI) agents trained on domain-specific data to deliver accurate, actionable insights for bug analysis. A bug triaging AI agent is trained on a dataset that includes historical bug dumps from bugs and associated playbooks, design documents, customer communications over email or messaging, etc. Such targeted training provides domain-specific expertise, enhanced AI agent accuracy (minimizing hallucinations) when generating actionable insights such as potential next steps, identifying potential root causes and relevant internal documentation, providing call-the-expert suggestions, etc. The AI …

Seamless Playback Resumption For Musical Containers, John Oberbeck, Alan Bettes, Chunya Hua

Defensive Publications Series

Music streaming platforms do not typically provide the ability for users to resume listening to musical containers (albums, playlists, etc.) from the point where they last left off. This disclosure describes techniques that enable users to resume listening to musical containers, thereby solving the problem of continuity for music. The techniques enable users to browse older queues not currently being listened to and to resume playback across devices on finite containers while respecting a shuffled order. Furthermore, the techniques provide a visual user interface (UI) to identify a finite container or queue as being in-progress; a visual UI on the …