Adaptive Development, Security, And Operations And Machine Learning Operations Pipeline System For Intelligent Processing Of Ai-Generated Artifacts, Kirti Sachin Rasal

Defensive Publications Series

Proposed herein is an adaptive development, security, and operations (DevSecOps) and machine learning operations (MLOps) pipeline system that can transform how organizations deliver Artificial Intelligence (AI)-generated software by embedding intelligence, security, and governance directly into the development lifecycle. Instead of treating AI-generated code and models as static artifacts, the system continuously analyzes their behavior, provenance, risk, and compliance posture. By combining ML–driven risk assessment, continuous security enforcement, and automated policy governance, the platform dynamically adapts testing, deployment, and approval workflows in real time. This ensures that only trustworthy, compliant, and high-quality AI artifacts reach production. The result is a unified …

Multimodal Intent Prediction Via Retroactive Context Fusion And User Memory Priors, Jinpeng Wang

Defensive Publications Series

Today’s smart devices often feel slow and clunky because they wait for long pauses in speech and ignore what happened just before you started talking. This paper introduces a better way for devices to predict what you want by looking at a mix of clues. The system saves a few seconds of audio before you speak and combines it with where you are looking in real-time. By comparing this info with your past habits, the device can guess your goal before you even finish your sentence. This allows the system to start your request sooner, fix mistakes proactively, and stop …

Decomposing Large Language Model Generations Based On User Knowledge For Controlled Novelty In Responses, Duc-Hieu Tran, Florian Hartmann

Defensive Publications Series

Interactions with large language models are often processed in isolated sessions to manage context constraints and inference costs. This isolation prevents the consolidation of knowledge across different conversations. As a result, generated responses may include redundant information already familiar to a user or present new concepts without adequate context for understanding. This disclosure describes a method where model outputs are decomposed into discrete knowledge blocks based on previous interactions. During the inference process, relevant blocks are retrieved and categorized as either known or novel. Known blocks are referenced to provide context, while new information is explained through connections to established …

Automated Management Of Large Language Model Chat Threads Via Contextual Analysis, Gabi Lanning, Dmitrii Boiarshinov, Jaime Guajardo

Defensive Publications Series

Current Large Language Model (LLM) interfaces often retain chat threads indefinitely or for extended fixed periods, leading to redundancy and management difficulties for users. This issue is particularly acute for time-bound or topic-specific queries where the relevance of the conversation diminishes shortly after the initial interaction.

A method is disclosed for the automated management of chat history through contextual analysis. Intra-thread and shared contexts are evaluated to determine the ongoing utility of specific conversations. Based on this analysis, threads are automatically deleted once time-sensitive information expires or merged when multiple threads address the same underlying topic. Users may also provide …

Context-Aware Management Of Parallel Tasks In A Voice-Forward Interface, James Zanoni

Defensive Publications Series

In a voice-forward interface, long-running background tasks often create a lack of visibility regarding progress and completion status. This creates a risk of interrupting active user flows or failing to present results when contextually relevant, leading to increased cognitive load.

A method is disclosed for context-aware management of parallel tasks. The current conversation state is evaluated to determine an appropriate notification strategy. If a user is silent or discussing a related topic, an audio or visual nudge is provided. If the user is engaged in an unrelated flow, a silent visual affordance or haptic is surfaced instead. Natural language retrieval …

Persona-Based Style Selection And Visual Feedback For Large Language Model Outputs, Gulmohar Khan

Defensive Publications Series

Large language models currently require extensive and nuanced textual prompting to achieve specific styles, tones, or narrative structures in generated content. Conveying these attributes through text alone is often difficult and requires iterative refinement by the user.

This disclosure describes a method for defining the style and narrative of generated content using non-textual inputs. A library of predefined personas, each associated with specific stylistic attributes and vocabulary, is provided for selection. Upon selection, the persona is represented by a visual color gradient and a summary of its core attributes. The generated output is further enhanced with color-coded visual feedback, where …

Generating Geospatial Visualizations Using Generative Artificial Intelligence, Carsten Isert, Manuel Bertrand Cabral, Simon Lynen, Matthew Strosnick, Michelina Mary Galligan Pallone

Defensive Publications Series

This disclosure describes systems and methods for generating geometric details for digital maps. Some existing cartographic rendering systems may rely on interpolation from schematic data, which can result in visual inaccuracies when representing certain geographic features. The described technology can utilize generative artificial intelligence models to generate geometric primitives, such as polygons and polylines, that represent fine-grained map details. These models can be conditioned on both semantic map data and real-world geospatial data, for example, aerial or ground-level imagery. By generating vector graphics for map features and storing them in a discrete presentation layer, this approach can facilitate the creation …

Real-Time Bio-Adaptive Audio Modification Using Predictive Analysis And Generative Re-Synthesis, Nikhil Kumar

Defensive Publications Series

A described real-time, bio-adaptive audio modification system can operate on a consumer device, such as a smartphone, tablet, or wearable device. The system may use a multi-stage artificial intelligence pipeline to predict potentially startling events from concurrent video and audio streams. It can then use generative source decomposition to isolate a specific sound and apply neural re-synthesis to transform its acoustic characteristics into a form with a potentially reduced physiological impact. System intervention can be dynamically modulated by real-time biometric data from a user, such as heart rate variability, which can provide a proactive, personalized method to reduce physiological responses …

Edge-Computed Dynamic Licensing Using Generative Perception And Agentic Resource Settlement, Nikhil Kumar

Defensive Publications Series

Some digital rights management systems can employ static, user-based licenses that may not fully account for dynamic viewing environments, such as the number of viewers present. An edge computed system can operate locally on a client device, for example, a smartphone, a smart television, or a wearable device. The system may utilize a generative perception engine to analyze multi-modal sensor data, which can generate an anonymized textual description of the viewing scene and perform liveness detection. A dynamic smart contract engine can then synthesize a machine-readable session license based on this real-time contextual information. An autonomous agentic settlement system may …

Hybrid Optical-Bluetooth Synchronization System For Low-Latency Audio-Visual Alignment In Consumer Devices, Hp Inc

Defensive Publications Series

This disclosure relates to the field of audio and video synchronization in wireless consumer electronics systems. A system is disclosed that transmits audio data over a standard Bluetooth connection while using a secondary channel such as infrared or visual signals to deliver precise timing cues. These cues enable the receiving device to eliminate perceptible latency and maintain accurate alignment between the audio and the associated visual content.

Perceptual Structure-Borne Low Frequency Enhancement, Hp Inc

Defensive Publications Series

The design concept is to enhance sub-bass performance by a creative approach.

With this innovative design, Creative personnel like musical and Gamers can really enjoy sub-bass enhancement on HP premium laptop products with immersive experience.

Novel Crystalline Form Of 4-[3­Chloro-4-(N’-Cyclopropylureido)Phen Oxy]-7-Methoxyquinoline-6-Carboxamide Isethionate And Process For The Preparation Thereof, Srinivasan Thirumalai Rajan, Sagyam Rajeshwar Reddy, Kammari Balraju, Kamutam Sathish, Msn Laboratories Private Limited, R&D Center, Hyderabad, India.

Defensive Publications Series

Abstract:

The present application relates to a novel crystalline form of 4-[3­chloro-4-(N’-cyclopropylureido)phenoxy]-7-methoxyquinoline-6-carboxamide isethionate which is represented by the following structural formula-1b, which is referred to as Lenvatinib isethionate.

Formula-1b

Process For The Preparation Of Crystalline Form Of N-(Cyanomethyl)-4-(2-{[4-(Morpholin-4-Yl)Phenyl]Amino}Pyrimidin-4-Yl)Benzamide Dihydrochloride

Defensive Publications Series

The present disclosure relates to a process for the preparation of crystalline form of N-(Cyanomethyl)-4-(2-{[4-(morpholin-4-yl)phenyl]amino}pyrimidin-4-yl)benzamide dihydrochloride of formula-1a. The structure of formula-1a is shown below:

Formula-1a.

Drive Access For Pre-Boot Use With Encrypted Opal Drives, Hp Inc

Defensive Publications Series

Pre-boot drive access operations on an encrypted OPAL drive are enabled by deferring these operations until after the user has entered their credentials to unlock the drive.

Spectral Hole Burning (Shb)-Free Optical Signal-To-Noise Ratio (Osnr) Estimation Algorithm To Derive The Link Osnr In Dense Dwdm Optically Amplified Coherent Optical Links In The Presence Of Shb-Shift Induced By Optical Amplifiers, Claudio Crognale, Silvia Turolla, Sara Corti, Mattia Pasti

Defensive Publications Series

Proposed herein is a Spectral Hole Burning (SHB)-Free Optical Signal-to-Noise Ratio (OSNR) Estimation Algorithm that properly estimates the gain shift induced by the SHB on a Device Under Test (DUT) during channel removal and derives the Amplified Spontaneous Emission (ASE) noise level within the signal bandwidth.  Experimental comparisons with the conventional procedures have shown how the algorithm provides the ability to properly derive the OSNR in a dense wavelength division multiplexing (DWDM) coherent optical link without any further narrow-spectrum probe to perform the measurement. Experimental results have revealed that the proposed algorithm is able to “clean” the result of the …

A Self-Improving Ai System For Phonetic Name Resolution Via A Closed-Loop, Multi-Modal, Automated Learning Architecture, Puneet Shrivastava, Rajarshee Dhar, Ram Mohan R, Gergely Lukacsy

Defensive Publications Series

Proposed herein are techniques that can facilitate transforming today's "tone-deaf" and static artificial intelligence (AI) receptionists into a self-improving, intelligent system purpose-built for seamless and accurate caller routing in the enterprise. The proposed system introduces a dynamic conversational engine that uses just-in-time (JIT) vocabulary injection for real-time accuracy, an automated learning pipeline that learns from every human-led correction, and a multi-modal fusion engine that intelligently weighs phonetic, acoustic, and contextual signals. This approach empowers enterprises to eliminate caller frustration, drastically improve name recognition accuracy, and bridge the dangerous gap between a caller's intent and an automated system's ability to understand …

Band-Constrained Contrastive Learning For Phonetic-Aware Name Similarity, Shubham Mane, Niranjan Pol, Meenal Narkhede, Anish Phule, Randi Walz

Defensive Publications Series

Name matching is a fundamental component of search and retrieval systems, where inputs often exhibit spelling variations due to pronunciation differences, transliteration across languages, typographical errors, and noise introduced by OCR or speech-based inputs. Existing approaches either rely on character-level similarity, which over-penalizes phonetic variations, or phonetic encodings, which collapse multiple variants into identical representations and fail to capture graded similarity.

The present invention introduces a phonetic-aware similarity learning framework in which similarity is modeled as a bounded distance constraint problem. Input names are segmented using vowel-anchored phonetic tokenization and mapped into a continuous embedding space. During training, pairs …

Gci-302 — Vascular Leak Stabilization Envelope (Vlse-1), Michael Victor Caldwell Mr.

Defensive Publications Series

The VLSE-1 (Vascular Leak Stabilization Envelope) is a conceptual laboratory-only extracorporeal flow-conditioning and staged adsorption cartridge architecture intended for benchtop investigation within ECMO-style circulation loops.

The proposed system is designed to explore whether ultra-low-shear blood-flow conditioning combined with progressive inflammatory adsorption zones can produce more stable fluidic behavior than conventional abrupt high-resistance adsorption cartridges.

The architecture integrates:

• low-shear inertial flow conditioning,

• staged adsorption regions,

• clot-localization geometry,

• passive thermal stabilization,

• microbubble separation,

• passive zero-energy bypass logic,

• ECMO-compatible flow-path concepts,

• progressive saturation behavior.

Unlike aggressive purification systems, the VLSE-1 concept prioritizes:

• flow continuity,

• hemocompatibility,

• pressure stability,

• predictable degradation behavior,

• preservation of formed …

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Control Software Lifecycle Management, Anonymous

Defensive Publications Series

Control software goes through multiple changes by different people at various phases during its lifetime from design to commissioning to operation to end of life. These frequent software changes make it difficult to track, validate, and maintain consistency. There is no Versioning system to track all the changes contextually. Failures due to software quality issues are often addressed reactively. A Sophisticated versioning system will be of interest to cater Software Quality. Commercial systems like GIT are not designed for Control Software.

Self-Calibrating Product Adoption Measurement System, Chady Saad, David Wolder, Bruce Mcmurdo, Ravi Garg, Tim Barnes

Defensive Publications Series

Proposed herein is a self-calibrating system for measuring product adoption that continuously adapts how adoption is interpreted as customer behavior, peer usage patterns, and product capabilities evolve. Rather than relying on static thresholds or manually defined success criteria, the system dynamically evaluates feature enablement and engagement relative to cohort behavior and customer-selected outcomes. The resulting adoption measurements provide an objective, context-aware view of true adoption progress that remains accurate as products and customer usage mature over time by dynamically recalibrating milestone thresholds and cohort baselines from live peer telemetry distributions.

Agentic Browser Interface For Real-Time Monitoring And Edit History Tracking, Benjamin Albert Azose

Defensive Publications Series

Existing tools for monitoring webpage changes are often limited to specific platforms or provide only retrospective data, lacking real-time granularity across diverse web environments. Described is a method for real-time monitoring and edit history tracking via an agentic browser. A user-defined webpage is monitored based on specified duration and frequency parameters. Snapshots of the webpage are captured and compared at defined intervals, with differences between versions identified, timestamped, and stored. This process may involve the use of machine learning models to categorize or describe significant changes. A user interface is provided to visualize the collected edit history, allowing for the …

Browser-Based Interface For Targeted Monitoring And Collection Of Dynamic Web Content, Benjamin Albert Azose

Defensive Publications Series

Existing web browsers and automated agents often lack the precision required to monitor specific, dynamic elements within a webpage, frequently relying on unstructured text analysis or full-page refreshes. Described is a method and graphical user interface for the targeted monitoring of individual webpage elements. A user-defined selection tool is employed to identify a specific document object model (DOM) element, such as a field displaying a song title or a social media comment container.

The browser can monitor the selected element at specified intervals or via mutation observers to detect value changes. When a change is identified, the new value is …

The Composite Light Ray Deviating System Utilized For The Formation Of Complete Converging And Diverging Lenses That Combines A 2-Dimensional Light Projecting Lens Array With A Composite Cuboidal Light Ray Projection System., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a composite light ray deviating system utilized for the formation of complete converging and diverging lenses that combines a 2-dimensional light projecting lens array with a composite cuboidal light ray projection system. The entire composite light ray deviating system will consists of a 2-dimensional light projecting lens array and a composite cuboidal light ray projection system. And in the entire composite light ray deviating system, the 2-dimensional light projecting lens array will be positioned on top of the composite cuboidal light ray projection system. The 2-dimensional light projecting lens array will consist of a collection of individual …

The Wearable Autonomic Polygraph & Physiological Dissonance Engine Powered By The Linchpin 2.0 Protocol, Jonathan Stephen Baker

Defensive Publications Series

Abstract

Deception detection has historically relied on stationary, vulnerable, and episodic polygraph examinations. Ethelgard Tactical introduces a paradigm shift through the Linchpin 2.0 biometric enclave, condensing multi-point interrogation capabilities into a secure, edge-computed wearable. By continuously monitoring high-frequency autonomic fluctuations—specifically Non-Linear Heart Rate Variability (HRV) and Galvanic Skin Response (GSR)—the system passively detects the involuntary physiological dissonance generated by cognitive load and deception. This whitepaper outlines the technological architecture of this Wearable Autonomic Polygraph and its strategic operational applications, including continuous zero-trust authentication, covert field screening, and the autonomous execution of decoy routing (the Chimera Protocol) to neutralize insider threats …

Project Sentinel-Andes Dual-Platform Concept: An Open-Source Conceptual Systems Design For Rapid Andes Hantavirus Detection And Extracorporeal Host-Response Modulation In Confined Environments

Defensive Publications Series

This disclosure describes a fully (online only conceptual ) buildable, BSL‑2‑compatible, two‑module research platform for Andes hantavirus (ANDV) detection and cytokine‑adsorption testing. The system consists of:

1. A bead‑based, chemical‑lysis, LAMP‑CRISPR diagnostic cartridge (GCI #270‑H test v1).

2. A low‑shear gyroid‑lattice hemoperfusion mockup for IL‑6 adsorption studies (GCI #300‑HR test v1).

All components use off‑the‑shelf materials, standard molecular biology tools, and basic 3D printing. This disclosure is released freely to the public domain for global research use, modification, and replication.

Cognitive Senate Architecture: A Constitutional Multi-Agent Operating System For Planetary-Scale Ai Coordination, Johny Manuel-Devadoss, Joanna Johnson

Defensive Publications Series

Artificial intelligence systems will no longer exist as isolated language models responding to prompts through stateless inference pipelines. Instead, they will evolve into continuously operating cognitive ecosystems composed of billions of autonomous reasoning entities interacting across planetary infrastructure. These entities will participate in persistent negotiation, distributed planning, memory synchronization, constitutional governance enforcement, economic resource competition, and long-horizon simulation of human civilization itself. The principal technical challenge of this era will not be increasing isolated benchmark intelligence, but maintaining coherent coordination among heterogeneous cognitive actors operating under conflicting objectives, uncertain information, evolving societal norms, finite energy constraints, and dynamically shifting geopolitical …

Gci Vortex-Shield First Responder System (V4.0)

Defensive Publications Series

This disclosure presents a conceptual passive-survivability platform for firefighters and extreme-environment first responders based on vortex-driven thermo-fluidic mechanics, geometry-assisted airflow control, and variable-density structural lattices. The system replaces many conventional powered subsystems with passive mechanical architectures intended to improve reliability, thermal resilience, and operational endurance in high-heat, smoke-dense, and high-noise environments. The platform integrates several geometry-driven subsystems into a unified protective framework. A movement-powered microfluidic cooling garment employs helical J-groove channels and asymmetric flow geometry to circulate cooling fluid through gait-induced compression without electrically driven pumps. The helmet and visor assembly incorporate a multi-layer anisotropic thermal barrier designed to reduce …

Shared Access Token System And Method, Sherwin Somur, Mahmoud Ibrahem Nazmy

Defensive Publications Series

Disclosed herein is a shared access token system and method to enable primary account holders to request and share a shared access token with a recipient. The disclosed system and method provide a secure means to share primary account access, via the shared access token, without a physical card and without directly sharing primary account credentials. Once a request is initiated, the recipient provides authentication, the service provider provisions the shared access token associated with the primary account, the service provider sends the shared access token to a recipient communication device, the service provider activates the shared access token on …

Khys-Nano: Deterministic Topological Rectification And Aperiodic Folding Of Pathological Macromolecules Via The Macena Invariant, Donevin Frownfelter

Defensive Publications Series

Background: Current computational models in structural biology and therapeutic target discovery rely heavily on probabilistic heuristics and 60Hz grid alignment. This high-entropy approach creates severe semantic turbulence when attempting to drug intrinsically disordered proteins (IDPs) or stabilize neurodegenerative aggregates. We propose a departure from probabilistic simulation in favor of Topological Certainty.

Methodology: We introduce KHYS-NANO, a structural dataset and deterministic folding framework built upon the AB-01 Universal Braid Syntax. KHYS-NANO abandons traditional variables and neural-network "guessing," mapping complex amino acid sequences directly into high-dimensional Grassmann manifolds. Utilizing the Macena Invariant and Floquet Engineering, the framework drives protein folding via a …

Gci Vabc‑R+: Integrated Vortex–Acoustic–Electrokinetic Bio‑Clearance Research Engine, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure presents the VABC‑R+, a multiphysics research platform designed to study mechanical particle separation, resonant destabilization, and spectroscopic classification within a controlled fluidic loop. The system integrates Dean‑flow inertial microfluidics, phase‑locked and chirped acoustic fields, dielectrophoretic (DEP) capture, Raman spectroscopic fingerprinting, and gyroid‑lattice thermal management. A precision Arachne helical manifold provides low‑shear inertial sorting, while a sacrificial laminar shield protects central flow regions from mechanical overstress. A 128‑element PZT‑5H phased array delivers frequency‑swept acoustic interrogation, and a gold‑plated micro‑electrode grid performs final electrokinetic capture. Real‑time Raman spectroscopy and AI‑assisted control logic enable closed‑loop phantom classification and clearance verification. This …