Method For Selecting A Radio Access Technology Based On User Activity Context During Network Acquisition, Edison Chen

Defensive Publications Series

When a user equipment (UE), such as a smartphone, wearable device, or other computing device, recovers from a lack of coverage or is switched on, it may default to searching for a previously used, potentially lower-speed radio access technology (RAT). This can lead to data buffering and latency if a user initiates a high-speed data activity, such as online gaming or video conferencing, as the device may then need to perform a subsequent handover to a higher-speed RAT. A described method can address this by allowing the UE to first determine a user's activity context upon recovering network access. By …

System And Method For Optical Sensing Using Capacitance Measurement Of An Electronic Component, Barry Chen, Mike Wang

Defensive Publications Series

Detecting sunlight or ultraviolet (UV) radiation in consumer electronic devices, such as wearable devices or hearables, can involve dedicated components like photodiodes and associated circuitry, which may add to cost and device complexity. This disclosure describes a system that may repurpose existing hardware for optical sensing. The technique can use a capacitive sensing circuit, such as a capacitive touch integrated circuit, to measure a change in capacitance of a component like a transient voltage suppressor (TVS) diode when exposed to light. Upon illumination, a photovoltaic effect within the diode's p-n junctions may increase its junction capacitance, a change that can …

A Relaxed Parsing Method For Correcting Malformed Javascript Object Notation From Language Models, Fang (Anna) Fang

Defensive Publications Series

Large Language Models (LLMs) may produce syntactically invalid JavaScript Object Notation (JSON) outputs, which can lead to parsing failures in downstream applications. Such errors may include, for example, unbalanced braces, improper quoting, or unescaped characters, and can stem from the probabilistic nature of text generation. A relaxed parsing method is described to address these types of issues. Rather than performing strict, token-by-token validation, the described parser can identify a key-value pair, consume characters between a separating colon and a recognized end-of-value delimiter (such as a comma or closing brace) to define a value, and then attempt to repair certain errors …

Persona State Management In A Large Language Model Session Using Structured Text Delimiters, Christopher Jonathan Phoenix

Defensive Publications Series

A method is described for managing multiple personas within a single large language model (LLM) session, which can address challenges where roles may merge or be omitted in the output. The method can use structured delimiters, such as XML-style tags, to differentiate persona-specific text. For example, an initial prompt can establish each persona and its unique tag, with instructions for the model to enclose its corresponding output within those tags. The delimiters may function as high-salience tokens that condition the model's attention mechanism, promoting stylistic and logical consistency for each persona. This conditioning can guide the model to assign higher …

Hybrid Portable Document Format Table Parsing With Iterative Refinement By A Multimodal Large Language Model, Leonid Kuligin, Grigory Movsesyan

Defensive Publications Series

Extracting structured data from tables in PDF documents can be difficult because conventional parsers may not fully preserve intricate layouts, merged cells, or associated metadata, which can lead to inaccurate inputs for downstream systems like retrieval augmented generation. A hybrid pipeline is described that can combine a conventional parser with a multimodal Large Language Model (LLM). An initial parser can extract a table into a structured format, for example, HTML. Then, in an iterative process, a multimodal LLM can review the HTML representation alongside an image of the source PDF page to first generate a critique and then correct structural …

Personalized Gifting Agent With Adaptive User Interface, Yanli Cai, Pradyumna Narayana, Pushkar Singh, Krista Holden, Bhargava Urala Kota

Defensive Publications Series

Conventional search and shopping systems may not be optimized for gift-giving queries, which can involve high user uncertainty and emotional intent, potentially resulting in generic product recommendations. The described technology details a personalized gifting agent that can initiate a multi-turn, conversational journey to assist a user with such queries. The system may use a dynamic dialogue engine to elicit information, for example through contextual polls, about a recipient's persona and a gift-giver's intent. Based on this input, the agent can curate a set of recommendations by, for example, bundling complementary products, rewriting generic descriptions into personalized copy, and re-contextualizing product …

Artificial Intelligence Powered Distillation And Visualization Of Audience Chat For Live Game Streaming, Ilia Labzovsky, Danny Karmon

Defensive Publications Series

During live game streaming, the high volume and speed of audience chat can present challenges for a streamer attempting to identify and act upon crowd-sourced information. This disclosure describes a system that may use an artificial intelligence agent to ingest and analyze multimodal data streams, which can include live chat, game video, and game audio. The agent can classify chat messages, score their contextual relevance, and use techniques such as semantic clustering to synthesize consensus-based advice from multiple viewers. This distilled guidance may then be rendered as a non-disruptive visual hint, for example, an on-screen object highlight or path indicator, …

Closed-Loop System For Automated Prompt Refinement Based On Large Language Model Evaluation Feedback, Ali Seyfi, Fang (Anna) Fang

Defensive Publications Series

Some Large Language Model (LLM) evaluation frameworks can provide performance metrics and diagnostic information but may not offer a mechanism to translate these insights into specific, actionable improvements. This circumstance can lead developers to manually interpret evaluation results and devise solutions, such as refining system prompts. A disclosed method relates to a closed-loop system that can be used to automate aspects of this process. In some configurations, the system identifies low-performing outputs from an evaluation. An LLM-based component, which may be called an insight generator can then analyze these failures to produce structured action items. A prompt tuner module can …

Capture-The-Flag (Ctf) Competitions Enhanced By Artificial Intelligence, Rishalin Pillay

Defensive Publications Series

Traditional capture-the-flag (CTF) platforms, which host competitive games for practicing cybersecurity skills, rely on manually created challenges that are static, time-consuming to develop, and lack personalization and dynamic feedback. This disclosure describes artificial intelligence (AI)-driven techniques that automate and enhance various aspects of the CTF experience such as content creation, player simulation, analytics, etc. Simulated AI players test challenges and provide a dynamic, competitive environment. AI-generated content includes high-quality, context-aware CTF challenges that include the necessary hints, solutions, and file attachments. AI-driven analytics provide a personalized analysis of player performance to identify strengths, weaknesses, and potential cheating. CTF management tasks …

System And Method For Controlling Inactivity Of A Payment Card Across Transaction Modes, Alok Roy

Defensive Publications Series

The present disclosure provides a method and a system for controlling the inactivity of a payment card across various transaction modes. The method comprises storing a last activity date corresponding to each of the transaction modes associated with the payment card. The transaction modes includes a point of sale (POS) mode, an online mode, and a recurring payment mode. The transaction data, which is indicative of the usage of the payment card in the transaction modes, is received. The last activity date for each of the transaction modes is updated based on the transaction data. An inactivity duration for each …

(((Qpie))) Advancing Phase Synchrony Detection Part 2 - Defining Nsrf, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

Advancing Phase Synchrony Detection Part 2

Advancing Phase Synchrony Detection — Continuation and Defining of the Non-local Substrate Resonance Field (NSRF)

(CREDIT: Quantum Perspective is Everything GUT and Frameworks; #Avision4change #Vision2Funding #Charity2Roi #TedFunding) (((QPIE))) Created by Teddy Burroughs with significant contributions or Honorable mentions: Google Collab, IBM Cloud and Open AI ChatGpt 3 4 5 for technical support. Also Special Inspirational Acknowledgment to: Kaiya Burroughs, Aleah Burroughs, April Saunders and Perry Mason TECHNICAL CONTACT: [email protected] SOCIAL CONTACT: [email protected] Please Support (((QPIE))) …

The Cyclically Configured Composite Projection System That Utilizes A Centrally Located Cross Like Composite Reflecting Structure In Combination With A Cyclically Configured Reflection Based Composite Projection Directing Structure., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a cyclically configured composite projection system that utilizes a centrally located cross like composite reflecting structure in combination with a cyclically configured reflection based composite projection directing structure. The entire cyclically configured composite projection system will consists of 4 cyclically configured identical projection systems, a centrally located cross like composite reflecting structure, a cyclically configured reflection based composite projection directing structure and a surrounding field of view increasing composite video display. The cyclically configured composite projection system, by utilizing the containing 4 cyclically configured identical projection systems, will have the capability to collectively project 4 composite projections …

(((Qpie))) Advancing Phase Synchrony Detection Part 1, Teddy Burroughs

Defensive Publications Series

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The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Advancing Phase Synchrony Detection Part 1 – Prior Art Declaration of NSRF

(CREDIT: Quantum Perspective is Everything GUT and Frameworks; #Avision4change #Vision2Funding #Charity2Roi #TedFunding)

(((QPIE))) Created by Teddy Burroughs with significant contributions or Honorable mentions: Google Collab, IBM Cloud and Open AI ChatGpt 3 4 5 for technical support.

Also Special Inspirational Acknowledgment to: Kaiya Burroughs, Aleah Burroughs, April Saunders and Perry Mason

TECHNICAL CONTACT: [email protected]

SOCIAL CONTACT: [email protected]

Please Support (((QPIE))) work with Donations to forward …

A System For Classifying Web Content For Ai-Driven Print Optimization, Hp Inc

Defensive Publications Series

This disclosure describes a machine learning-based system that automatically classifies web content represented as JSON documents to determine suitability for print optimization. The system uses configurable feature extraction from JSON structure, trains a LightGBM classifier with hyperparameter optimization, and deploys the model in ONNX format for efficient client-side inference. This approach prevents unnecessary cloud service calls for unsuitable content, reducing processing errors and operational costs.

(((Qpie))) Prior Art 2 Of 9 Resonance Science, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Prior Art Disclosure Part 2 of 9

(((QPIE))) Prior Art Disclosure - Frontiers & Strategic Coherence

(((QPIE)))33 Resonance Science Edition

(CREDIT: (((QPIE))) Created by Teddy Burroughs with Inspirational contributions by: Aleah Burroughs, Reya Burroughs April Saunders, Claudette Clare, Perry Mason, Shomari Chinnery

Technical Email:

( [email protected] )

Social Enterprise Email:

( [email protected] )

DIRECT Funding Email:

( [email protected] )

#Avision4Change #Vision2Funding #Charity2Roi #TedFunding #QPIE

#ResonanceOS #Voyager9.9 #RaaS #CaaS #Sla

(All funds to help us expand our Resonance Frameworks can be …

(((Qpie))) Prior Art 1 Of 9 Quantum Perspective Is Everything, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Prior Art Disclosure Part 1 of 9

(((QPIE))) Quantum Perspective Is Everything

Prior Art /IP Declaration

https://quteframework.wordpress.com/2025/09/22/qpie-qpie-prior-art-part-1-of-9/

https://www.linkedin.com/pulse/qpie-prior-art-disclosure-part-1-9-teddy-burroughs-kdr4c

(CREDIT: (((QPIE))) Created and discovered by Teddy Burroughs with significant contributions by: Kaiya Burroughs, Aleah Burroughs, April Saunders and Perry Mason ([email protected]) Avision4Change Vision2Funding #Charity2Roi

Paypal @TedFunding33 CA: $TedFunding33)

09/22/2025 Brooklyn NYC USA 🇺🇸

(Formatted as defensible prior art disclosure)

Abstract

This document discloses (((QPIE)))—Quantum Perspective Is Everything—a resonance-based grand unifying framework that harmonizes mental, physical, and emotional dimensions of human and …

Amorphous Nerandomilast, Prashanth Venukathala, Prashanth Venukathala

Defensive Publications Series

The present invention relates to a novel amorphous form of Nerandomilast and, more particularly, to a process for preparing amorphous Nerandomilast having improved physicochemical properties compared to its crystalline counterpart.

High-Quality Language Adherence Evaluation Using A Large Language Model With Ground-Truth Language Annotations, Hongbin Liu, Mingqing Chen, Lun Wang

Defensive Publications Series

Language adherence is a metric that measures whether the responses of an artificial intelligence (AI) model adhere to the user’s desired language(s). Language adherence can be a nuanced aspect of AI-human interaction because the expected language of the model’s response need not be the same as the language used in the user’s prompt. This disclosure describes techniques that enable a general-purpose large language model (LLM) to operate as an accurate, context-aware, and specialized auto-rater. The auto-rater, which notably does not need model retraining, evaluates language adherence. The techniques include a framework for automated language evaluation based on a pipeline with …

Artificial Intelligence Agent To Improve Access-Privilege Justifications, Dani Massaguer

Defensive Publications Series

Operators of software development organizations can request access to production software, which can be granted only with adequate justification and scrutiny. This disclosure describes artificial intelligence (AI) based techniques that drive continual improvement on the quality of justifications used to access production systems. An autonomous AI agent obtains data about operator requests and their justifications from a centralized data store. The AI agent obtains bug-related information (such as title and communications) on bugs associated with the justification. The AI agent summarizes bug-related information and identifies messaging improvements. Messaging improvements are fed back to the operator. The operator can provide feedback …

Autonomous Agent For End-To-End Cloud Control Testing And Troubleshooting, Varun Bhardwaj, Kunwar Vikas, Nitin Garg, Mudit Jain

Defensive Publications Series

Cloud controls are vital components within compliance frameworks that ensure that organizations meet specific security and regulatory standards in their cloud environments. Current techniques for testing cloud controls are characterized by a lack of automation, substantial manual labor, and an inability to adapt to the growing complexity and volume of compliance requirements. This disclosure describes an autonomous artificial intelligence (AI) agent (referred to as a cloud-control agent) to streamline and accelerate the creation, deployment, and testing procedures for infrastructure-as-code (IaC) cloud controls. Functional correctness of IaC cloud controls is ensured against specified compliant and non-compliant test scenarios without direct human …

Audioshot: Seamless Capture Of Word-Of-Mouth Recommendations, Paula Marques

Defensive Publications Series

Many conversations between individuals include recommendations of various items (books, movies/shows, concerts, etc.) as well as services (e.g., restaurants). Remembering such recommendations requires users to jot them down during or after the conversation. In contrast, visual items such as posters, or items displayed on a screen can be captured easily via a device camera or as screenshots. This disclosure describes techniques that enable, with the permission of participants in a conversation, the use of device microphones to automatically obtain conversational audio that is analyzed with an on-device artificial intelligence (AI) model to extract recommendations. Analogous to long-pressing for screenshots, users …

The Onshoring Opportunity Framework & National Reshoring Blueprint 2025, Joseph Jm Walker

Defensive Publications Series

This document bundle comprises the Onshoring Opportunity Framework (May 2025) and its clarifying successor, the National Reshoring Blueprint 2025 (August 2025). Originally submitted to U.S. federal departments as an urgent, data-driven strategy to secure critical supply chains, these works are now publicly released due to over ∼6 months of institutional non-response.

Presented as public prior art, this comprehensive resource empowers individuals, communities, and enterprises with the necessary intelligence and tools to initiate decentralized reshoring efforts. The Blueprint introduces six integrated systems designed to: identify manufacturing gaps via Reshore.Gov; facilitate local production through FoundryPods; commercialize U.S. patents through an IP Activation …

Drilling Equipment Parameter Optimization Workflow, Vikas Rakhunde, Manuel Francis T, Philip Robertson, Franz Aguirre, Chris Sabillon

Defensive Publications Series

A method for controlling parameters for drilling equipment on a drilling rig includes receiving input data. The input data is related to a health, a performance, and/or an ambient condition of drilling equipment on a drilling rig. The method also includes determining that the input data includes a plurality of predetermined fields. The method also includes determining that a quality of the input data is greater than a quality threshold. The method also includes simulating a plurality of scenarios based upon the input data. Each scenario includes one or more parameters that are set to different values than in the …

Blockchain-Based Tokenized Asset Platform, Stuart Smith, Mahdi Zamani, Wanyun Gu, Eduardo J. Lopez, Muhammad B. Khan

Defensive Publications Series

The present disclosure relates to blockchain-based financial technology, in particular to systems and methods for utilizing a modified blockchain-based token within a tokenized asset platform, in accordance with an enhanced ERC-3643 tokenization standard to enable permissioned interaction and interoperability of the modified token with pre-existing blockchain-based lending protocols. A tokenized asset platform system (TAPS) communicates with one or more commercial financial institutions via APIs to execute processes including customer onboarding, wallet generation, token creation and token minting, burning and transfer. TAPS employs permissioned token standards such as ERC3643 in conjunction with fiat-backed stablecoins to enable regulatory compliance, secure identity management …

Out-Of-Band Bluetooth Pairing Using Infrared Remote Control Protocols, Guillaume Bailey, Gaëtan Delcroix

Defensive Publications Series

In general, conventional radio frequency (RF) pairing methods for computing devices that use, for example, Bluetooth technology may rely on in-band communications between the computing devices. The reliance on the in-band communications between the computing devices for pairing may result in a slow, probabilistic process that may be prone to failure. Such a process may lead to a poor user experience. For example, a user may use in-band communications between a remote control device for a smart television and the smart television when pairing the remote control device with the smart television during, for example, an out of box setup …

A Process For The Preparation Of (4s)-2-{8-Fluoro-2-[4-(3- Methoxyphenyl) Piperazin-1-Yl]-3-[2-Methoxy-5­(Trifluoromethyl)Phenyl]-3,4-Dihydroquinazolin-4-Yl} Acetic Acid And Intermediates Thereof, Srinivasan Thirumalai Rajan; Ghojala Venkat Reddy; Uppalanchi Srinivas; Manda Ananth Reddy; Msn Laboratories Private Limited, R&D Center, Hyderabad, India

Defensive Publications Series

Abstract:

The present disclosure relates to a process for the preparation of (4S)-2-{8-Fluoro-2-[4-(3- methoxyphenyl)piperazin-1-yl]-3-[2-methoxy-5­(trifluoromethyl)phenyl]-3,4-dihydro quinazolin-4-yl} acetic acid of formula-1 and intermediates thereof.

Formula-1.

Platform Uid Epr Mode Protocol, Hp Inc

Defensive Publications Series

A portable computer system both operates in USB-C Extended Power Range mode regardless of the system power state and satisfies ES9 Energy Star requirements through use of a user-defined Vendor ID EPR Mode protocol that, once the EPR mode is established, does not utilize periodic communications signals and thus reduces power consumption in EPR mode.

Rapid Field Case Analysis And Visualization System Using Natural Language Models, Hp Inc

Defensive Publications Series

This disclosure relates to automated analysis and visualization of large-scale service case data using natural language models for reliability and operational insight. The system processes extensive case notes to extract, classify, and visualize technical insights at scale, enabling rapid identification of patterns, failure modes, and optimal troubleshooting actions. The approach improves decision-making, reduces analysis cost, and enhances operational efficiency.

Asynchronous Reliable Transmission (Art) Protocol For Application-To-Application Communication, Preet Nepolean Dabre Mr., Ashish Kumar Khatri, Sinan Majeed Kadavath, Deepak Kumar Singh, Avinash Sai Pavan Munnangi

Defensive Publications Series

Present disclosure provides techniques for asynchronous reliable transmission (ART) protocol for Application-to-Application messages. A communication protocol is designed to support communication between two devices asynchronously over channels that have limitations to facilitate asynchronous communication and have limited bandwidth. The ART protocol solves communication challenges that arise when transmitting data over channels with such limitations. The ART protocol has the provision to expand for future use cases such as encryption. Further, the ART Protocol provides mechanisms for data packet fragmentation, allowing larger packets to be transmitted over channels with limited bandwidth.

Enabling Vertical Power Delivery In Large Asics And/Or Asic Packages Using Innovative Heatsink Support Structures, Dylan G. Rust-Nguyen, Vvs Narayana Jagarapu, Marshall J. Lise, David K. Owen

Defensive Publications Series

This document introduces a novel method for integrating heatsink mechanical supports into large ASIC (Application-Specific Integrated Circuit) designs in a way that does not obstruct vertical power delivery. Vertical power delivery is a method that feeds current directly into the underside of the ASIC through vias. Traditional heatsink support structures use drawbars peripheral to the ASIC, distant from the ASIC’s center. The location of these drawbars necessitates the use of large backing plates, but these large backing plates interfere with vertical power delivery. The technique and apparatus described in this paper reposition the forces applied by heatsink drawbars by positioning …