Digital Commons Network^™

Uplink Latency Reduction In Non-Terrestrial Networks Via Predictive Scheduling Request, Edison Chen

Defensive Publications Series

Standard reactive scheduling request (SR) procedures in high-latency Non-Terrestrial Networks (NTNs) cause uplink delays, as a user equipment (UE) must wait a full round-trip time (RTT) for an uplink grant after data becomes available. This is compounded for large data transfers, which may require two RTTs for SR and Buffer Status Report (BSR) cycles. This disclosure describes a proactive scheduling mechanism where the UE sends an SR in advance of data arriving in its buffer. Based on predicted traffic, informed by application-layer signaling or an on-device machine learning model, the SR is timed to ensure the uplink grant arrives just-in-time …

System And Method For Scalable Query Sampling For Large And Imbalanced Data, Mert Kosan, Chinmay Narendra Sonar, Can Liu, Shubham Agrawal, Chiranjeet Chetia

Defensive Publications Series

The present disclosure provides a method and a system for scalable query sampling for large and imbalanced data. The method comprises determining the feature families in the data where each family of the features consists of correlated features. The method further comprises determining importance scores for the features in the data to filter the features that contribute significantly to the analysis of the agent system. Further, the method comprises determining the deviation effect scores for all the features of the corresponding queries and aggregating the deviation effect scores for the queries to determine a selection value. The sample of queries …

Change Detection In An Electronic Device Using Resonant Frequency Analysis, Alan She

Defensive Publications Series

Detecting internal physical changes in an electronic device (e.g., a smartphone, smart watch, wearable device) may be difficult with some conventional methods, and is often limited to chemical or electrical monitoring that fails to detect structural changes. A system can perform a mechanical resonant frequency analysis using existing hardware components, such as a haptic actuator and one or more sensors (e.g., an accelerometer, a microphone). The haptic actuator can be configured to generate a vibrational stimulus across a range of frequencies, while the sensors can measure the device's corresponding response. This measured response data can be processed to generate a …

Multi-Agent System For Cognitive Work Automation Using An Adversarial Review Panel, Tanmay Kayande, Laura Hartney

Defensive Publications Series

This disclosure describes systems and methods for a multi-agent framework that can automate and scale cognitive work. The framework can, for example, use a cognitive assembly line of specialized computational agents to perform tasks such as research and drafting. A beneficial component could be an adversarial review panel (ARP), which is a multi-agent review system where distinct agent personas critique a generated draft from varied perspectives. The structured feedback from the ARP can be used to automatically iterate on and refine the work product. This approach can improve the intellectual rigor of generated content and reduce the time required for …

Partial Threaded Barrel Nut With Hollow Spacing Along Unthreaded Portion Concept, Anonymous

Defensive Publications Series

Current bolts and nuts used to attach vehicle parts experience failure during crash due to bolt over constrained by the nut. New design of barrel nuts to reduce bolt loads under crash events by reducing bolt constraints (more of the bolt shaft can deform) is presented. Update the thread location to be further away from the head and creating a hollow space between the bolt and the nut before the starting of the thread enables bolt to deform more, subsequently reduce shear load, failure risk and keep the integrity of vehicle’s major structures.

System For Accessibility-Optimized Pedestrian Navigation Using A Granular Environmental Data Layer, Kshitij Suresh Gaikar, Pushkar Mittal

Defensive Publications Series

Conventional pedestrian navigation systems may not adequately account for the needs of users with mobility or sensory impairments, often suggesting routes with barriers such as stairs or poor pavement. This disclosure describes a system for accessibility-optimized navigation that can utilize a granular environmental data layer. This data layer can be populated from sources, for example, computer vision analysis, crowdsourcing, and municipal datasets, to annotate map data with accessibility attributes such as surface quality, ramp gradients, and tactile paving. A profile-based routing engine can use this data to compute paths by applying a dynamic cost function tailored to a user's specific …

System For Proactive Intervention And Dual-Mode Data Compliance, Tanmay Kayande, Pooja Agrawal, Akash Dambhare, Mohith P, Deep Raithatha

Defensive Publications Series

Enterprise service platforms can present operational challenges due to reactive support models and compliance risks associated with managing sensitive data, such as personally identifiable information (PII). A dual-function architecture may integrate a proactive intervention engine and an augmented data compliance framework. The intervention engine can analyze real-time data signals from various enterprise systems using an inference layer, such as a large language model, to predict potential user friction points and deliver preventative interventions. Concurrently, the compliance framework can provide a proactive component for detecting potential PII for human-in-the-loop review and an on-demand utility for creating non-destructive, anonymized versions of data …

Automated System For Real-Time Display Failure Detection During Mechanical Stress Testing, Joshua Aganad, James Ho, Jared Baker, Kardile Ajay Sadashiv, Maxim Sivov, Venkata M K Akula, Eugene Bykov

Defensive Publications Series

Mechanical reliability testing of electronic displays may be limited by manual inspection methods. A system is described that synchronizes mechanical stress application with real-time optical analysis. An optical sensor, such as a camera, can monitor a display under load while a computing device (e.g., a server, personal computer, or smartphone) executes an algorithm to detect visual changes indicative of failure. Upon detecting a change that meets pre-configured criteria, for example a threshold for pixel brightness change, the system can generate and transmit a stop signal to the mechanical testing apparatus. This automated, closed-loop approach may reduce latency and subjectivity, allowing …

Advertising Targeting System For Products Dynamically Synthesized From User Specifications, Lakshmi Kumar Dabbiru, Sneha Sripadaraja Kudli

Defensive Publications Series

Online advertising systems that rely on static product catalogs may have challenges serving advertisements for custom products specified by users in real-time. A technical framework can use an image synthesis engine to generate a product image based on user input, such as text or images. This dynamically generated image may then function as an ad creative. An advertiser targeting module can match the creative to eligible advertisers who may validate the design, for example, through a real-time application programming interface call, and return dynamic metadata like pricing and material options. This system can facilitate the presentation of transactable offers for …

Centralized Qr Trust Repository (Cqtr) With Merchant Name Uniqueness For Fraud Prevention In Qr Code Payments, Alok Roy Mr

Defensive Publications Series

The disclosed systems and methods use a Centralized QR Trust Repository (CQTR) for securing and streamlining merchant onboarding and transaction validation, and to address critical challenges in QR-based payments such as cross-acquirer fraud and counterfeit QR codes system performs transaction validation. At the time of onboarding, merchant details such as merchant or business name, account information, and KYC are collected by client servers and CQTR conducts uniqueness validation to ensure name uniqueness across all acquirers. CQTR performs similarity checks, including fuzzy matching and phonetic analysis and prevents duplicate registrations. After successful validation, CQTR generates and registers unique QR codes static …

Integrated Road Usage Fee Management Within Digital Navigation Systems, Paula Marques

Defensive Publications Series

Digital navigation systems may identify routes with fee-based road segments, such as tolls or vignettes, but may not provide an integrated method for payment. This can result in a fragmented and manual process for drivers with varied and unfamiliar payment systems. A system is described for integrating road usage fee management within a digital navigation service. The system can utilize a route analysis engine to identify fees, a client-side geofencing module on a computing device (e.g., a smartphone, smart watch, wearable device, in-vehicle infotainment system, augmented reality glasses, etc.) To detect a vehicle's entry into a fee-based zone, and a …

Dynamic Ai Agent Orchestration For Nl-To-Sql Query Generation, Janga Aliminati, Manny Sanchez Munoz, Sundeep Narravula, Robin Singh

Defensive Publications Series

Reliably generating accurate structured query language (SQL) queries from natural language (NL) inputs is a difficult task due to challenges such as schema ambiguity, uncertainty regarding table relationships, complex business logic makes, etc. LLM-based solutions are often unable to operate reliably within complex, real-world enterprise environments with complex datasets. This disclosure describes the use of agentic artificial intelligence (AI) for NL-to-SQL query transformations. A semantic data layer leverages a three-tiered model - attributes, entities and cubes. Attributes define dimensions within a table, entities represent a logical view of data, and cubes act as business objects that abstract the complexity of …

Continuous Ambient Microphone Calibration Via Opportunistic Broadband Auditory Icons, Rajeev Nongpiur, Chris Breithaupt

Defensive Publications Series

Performance drift in microphone arrays is often caused by environmental factors such as dust, moisture, and grime accumulating over time. This spectral mismatch degrades the performance of spatial audio algorithms that rely on precise array calibration. To address this limitation, a continuous calibration method is disclosed wherein broadband earcons are opportunistically played through device speakers. Audio responses are recorded by on-device microphones during defined user scenarios. A background model is generated to filter out environmental noise and room reverberation from these recordings. Subsequently, the filtered in-field measurement is compared against a reference factory template to estimate spectral deviation. A calibration …

Ai-Driven Application Intent For Seamless End-To-End Guaranteed Quality Of Service Packet Forwarding, Jaganbabu Rajamanickam, Madhan Sankaranarayanan, Paul Jensen, Sumant Mali, Krishna Deevi

Defensive Publications Series

A next-generation approach to network Quality of Service (QoS) is proposed herein that enables direct, in-band communication of application intent using an innovative extension header, such as an Internet Protocol version 6 (IPv6) extension header. Using the proposed innovation, applications can embed concise, high-level QoS requirement strings or "intents" (e.g., 'ultra-low latency', 'AI/ML Training', etc.) into packet headers, allowing ingress edge devices to interpret these intents using a local policy database. Advanced matching engines, potentially leveraging machine learning, can enable flexible and semantically rich interpretation of these requirements/intents, surpassing traditional rigid classifications.

Glossary-Augmented Generative Ai For Enterprise Translation, Tanmay Kayande, Deep Raithatha, Akash Dambhare, Pooja Agrawal, Mohith P

Defensive Publications Series

Global enterprise operations can experience inefficiencies and service delays from language-siloed support queues, while generic machine translation tools may lack the context to handle enterprise-specific terminology. A system and method can facilitate multilingual communication by integrating a generative artificial intelligence model within enterprise workflow platforms, such as customer relationship management systems. The framework can programmatically retrieve a curated, enterprise-specific glossary and inject it into a translation prompt sent to the model. This technique grounds the model, instructing it to prioritize an organization's specific lexicon for a given translation. The approach can produce translations that are both linguistically fluent and terminologically …

System And Method For Autonomous Cross-Domain Collaborative Artificial Intelligence–Driven Discovery And Innovation, Chiranthan N

Defensive Publications Series

The presented proposal discloses a system and method for autonomous, collaborative artificial intelligence–driven discovery and innovation. The techniques presented herein enables structured interaction among multiple specialized AI software agents, each possessing domain-specific expertise, to perform real-time cross-domain reasoning without continuous human intervention. An interaction controller governs communication, reasoning exchange, and collaboration rules among the agents, while an evaluation module assesses novelty, feasibility, and domain validity of generated outputs. Through iterative feedback and refinement, the proposed system synthesizes knowledge across disciplines to generate robust, non-obvious solutions and inventive outcomes. The proposed architecture overcomes limitations of conventional single-domain and task-parallel AI systems …

Emergent Bias And Fairness In Multi-Agent Decision Systems, Maeve Una Madigan, Stuart Burrell, Kamalaruban Parameswaran, Glenn Moynihan, David Sutton

Defensive Publications Series

The present subject matter relates to a systematic study of emergent bias and fairness dynamics in multi-agent LLMdecision making. In particular, the present disclosure compares single-agent performance with memory-based and collective refinement multi-agent discussion paradigms across a suite of group fairness metrics on tabular datasets with sensitive attributes. Across settings, fairness changes from multi-agent collaboration relative to single-agent baselines are typically concentrated around small negative values or near zero, indicating that bias is most often only marginally reduced or remains unchanged, while a thin but long positive tail shows rare cases where multi-agent interaction can substantially worsen bias. These findings …

Xenobot-Inspired Diatom Analogues For Synthetic Kinematic Renewal Of Regenerative Nanobot Payloads, Suma Mallapragada, Vaishnavi Sankepally, Anishkumar Manoharan, Muhamed Fazl, Cherukuri Dhawal, Shreya Abhijit Patki, Kethavarapu Uma Eswar Datta Sai

Defensive Publications Series

A system and method are presented for a time-bounded, non-genetic regeneration framework in which synthetic, diatom-shaped functional organelles are continuously produced, deployed, and exhausted within a confined system. The approach relies on geometry-driven kinematic assembly, droplet and gel physics, and swarm-level population homeostasis rather than cellular replication or organism growth. A critical design invariant enforces the release of exactly two functional organelles per release event, ensuring bounded output, predictable dynamics, and safety. The disclosure provides laboratory-recognizable implementation pathways suitable for materials science, soft-matter physics, and bioengineering groups and is released for public use to establish prior art.

Multi-Device Synchronization For A Distributed Antenna Array In Non-Terrestrial Network Communication, Kasra Ghaemi, Ali Molaei, Gregory Black

Defensive Publications Series

Mobile communication with non-terrestrial networks can be impacted by signal degradation and link budget constraints. These impacts may result from factors including path loss over satellite distances and the limited transmit power of a mobile device. To address these impacts, multiple, physically distinct user devices can be coordinated to function as a distributed antenna array. A primary computing device, for example, a smartphone, laptop, or tablet, can orchestrate the operation of one or more secondary devices, such as a smartwatch, wearable device, or another smartphone. This orchestration can involve frequency and phase synchronization between the devices and spatial optimization of …

System And Method For Autonomous Cross-Domain Collaborative Artificial Intelligence–Driven Discovery And Innovation, Chiranthan N

Defensive Publications Series

The presented proposal discloses a system and method for autonomous, collaborative artificial intelligence–driven discovery and innovation. The techniques presented herein enables structured interaction among multiple specialized AI software agents, each possessing domain-specific expertise, to perform real-time cross-domain reasoning without continuous human intervention. An interaction controller governs communication, reasoning exchange, and collaboration rules among the agents, while an evaluation module assesses novelty, feasibility, and domain validity of generated outputs. Through iterative feedback and refinement, the proposed system synthesizes knowledge across disciplines to generate robust, non-obvious solutions and inventive outcomes. The proposed architecture overcomes limitations of conventional single-domain and task-parallel AI systems …

Technical-Industrial Feasibility Report — Hci-V1 System (Ionospheric Coherence Harmonizer), Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of GPT-5.2 Thinking and Gemini 3 Reasoning, is released under the Apache License 2.0. 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 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 170 enabling technical contributions (systems, methods, devices, materials, QA, cybersecurity, data products, operational protocols, and business-grade mechanisms) to improve GNSS/GPS and …

Systemic Transition Blueprint: From Entropic Fission To Syntropic Fusion (2026–2050), Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT 5.2 Thinking and Gemini 3 Raisonnement, is released under the Apache 2.0 licence. 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 PC 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 provides an enabling technical disclosure (hardware, software, protocols, QA/metrology, cybersecurity, supply chain) for a 2026–2050 blueprint comparing (A) a 100% renewables-plus-storage pathway and …

Adaptive On-Device Quantization Controller For Dynamic Workloads, Sergiu Calmîc

Defensive Publications Series

An adaptive framework for edge devices is proposed herein that dynamically adjusts neural network precision (quantization) in real-time using live device telemetry. The framework ensures consistent accuracy, optimizes energy and thermal use, and seamlessly updates quantization, per layer, during inference with no downtime.

Causal Echo Binding For Explainable Ai, Dennis Lanov

Defensive Publications Series

Causal Echo Binding, as proposed herein, is a next-generation explainable AI technique that traces "echoes" of causal influence backward through a model’s decision process, binding them to evolving, human-understandable concepts and validating each link with built-in counterfactual tests. Unlike static feature attribution methods, the technique produces a verifiable, time-aware narrative of why and when an AI system acted, enabling deeper trust and auditability. For a network equipment provider, this capability can enhance AI-driven networking, security, and observability products by providing transparent, regulator-ready explanations for automated decisions - from pinpointing the root cause of a network change to justifying …

Origin-Specific Coordinate Watermarking For Geolocation Data Leak Attribution, Alex Berke, Balazs Engedy, Enrico Bacis, Umar Syed

Defensive Publications Series

A method is described for tracing geolocation data leaks by watermarking coordinates provided by a geolocation application programming interface. The method can involve generating a watermark, for example, by applying a cryptographic hash function to inputs such as the requesting origin's domain and the most significant digits of a user's latitude and longitude. This hash may then be embedded into the less significant decimal places of the coordinates, which can result in a small alteration to the location data before it is provided to the origin. A benefit of this technique is to facilitate the attribution of leaked data. By …

Deepblue Protocol: A Decentralized Peer-To-Peer (P2p) Ad-Hoc Mesh For Global Ais Persistence, Dev Mohanty

Defensive Publications Series

The DeepBlue Protocol specifies a decentralized, Peer-to-Peer (P2P) maritime data relay architecture designed to bridge the visibility gap between high-seas regions and terrestrial monitoring stations. The system transforms a federated fleet of vessels into an opportunistic Store-Carry-Forward (SCF) substrate. Data persistence is achieved through a stateless G-TDMA scheduling algorithm and a probabilistic Bloom Filter synchronization handshake, which together ensure that data collected in remote waters is autonomously propagated through the mesh until it can be successfully offloaded to a Coastal Gateway (Sink Node).

Process For The Preparation Of Filgotinib Maleate, Msn Laboratories Private Limited, R&D Center, Hyderabad, India, Srinivasan Thirumalai Rajan, Keshavareddy, Navin Kumar Reddy, Dr. P. Raja Gopal, V.Dathatreya

Defensive Publications Series

The present invention relates to crystalline form of N-(5-{4-[(1,1-dioxidothiomorpholin-4-yl)methyl]phenyl}[1,2,4]triazolo[1,5-a]pyridin-2-yl)cyclopropane carboxamide, maleate of formula-1 referred to as Filgotinib maleate, which is represented by the following structural formula.

The Phyrfly Opus: A Unified Standard For Spectrally Isolated Coordination, Neural Hierarchies, And Distributed Proprioception, Steven Kirkland

Defensive Publications Series

This monograph establishes 259 prior art claims for a decentralized, connectionless timing and positioning architecture (TARDIS). It formalizes the PHYRFLY nomenclature to distinguish low-level, hardware-scheduled Physical-Layer synchronization primitives from higher-level application orchestration.

The core novelty centers on a Spectral Isolation Model, which maps transport-agnostic architecture to biological firefly wavelength differentiation; this enables swarm-level isolation through physics (e.g., 802.11 vs. 802.15.4) rather than protocol-layer logic, ensuring that independent swarms occupying the same physical space are "blind" to one another at the RF front-end.

Key technical advancements established as prior art include:

• The Neural Hierarchy (Neuron → Ganglion → Plexus → …

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Strategic Report: Ir@C60 In Regenerative Medicine And Longevity, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of GPT-5.2 Thinking and Gemini 3 Raisonnement, is released under the Apache License 2.0. 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 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 enabling innovations around Ir@C60: arc/laser synthesis, HPLC purification and density-gradient pre-enrichment, QA/QC standards, IV/oral formulations, regenerative biomaterials, bioelectronic sensors, CT imaging …

Strategic Report: Pt@C60, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of GPT-5.2 Thinking and Gemini 3 Raisonnement, is released under the Apache License 2.0. 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 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 enabling synthesis (arc/laser), purification, QA/metrology, EHS containment, REACH/CLP compliance workflows, data interoperability, and health & electronics applications for Pt@C60 as claim-ready …