Digital Commons Network^™

Eliminating Stuck At Capture Mode In Static Timing Analysis By Design, N/A

Defensive Publications Series

The present disclosure is directed to eliminating adverse capture timing modes in static timing analysis (STA) through design. In high-performance integrated circuits, such as system-on-chip (SoC) designs, functional paths across independent intellectual property (IP) blocks are traditionally tested for stuck-at faults using a common slow-frequency off-chip clock. This may create complex timing closure scenarios due to large clock skew and crosstalk across IP boundaries. Large High Performance Compute SOCs in small technologies and specifically AI/ML Chips with high number of Multi Instantiated modules possess large volume of such paths.The present disclosure utilizes on-chip clock controllers (OCCs) within each IP block …

Integrating An Electrically Heated Reformer Into A Syngas-Based Direct Reduction Plant For Producing Direct Reduced Iron (Dri) With Reduced Carbon Dioxide Emission, Gianluca Pauletto, Martin Baumgaertl

Defensive Publications Series

The present technical disclosure relates to a direct reduction iron (DRI) plant as well as to process configurations for integrating an electrically heated reformer into a syngas-based direct reduction plant for the production of direct reduced iron with reduced carbon dioxide emissions. More particularly, the present technical disclosure relates to plant configurations and associated operating processes that replace, either partially or fully, a combustion-heated top gas reformer with an electrically heated reformer, wherein the thermal energy required for the endothermic reforming reactions is supplied by electric heating.

Triple-Seal Split Plug Valve With Tight Shutoff For High-Pressure Minimum Flow Applications, Iniyankarthik Telungupalayam Ramakrishnan, Senthil Ramasamy, Joseph G. Shahda

Defensive Publications Series

Centrifugal pumps are widely used in industrial processes for transferring fluids under varying operating conditions. These pumps require a minimum flow rate to maintain internal cooling and prevent damage caused by overheating, cavitation, and excessive vibration during startup, shutdown, or process upsets. Failure to maintain this minimum flow can lead to premature wear of pump components, seal failures, and reduced operational reliability.

Valves designed for minimum flow applications play a critical role in protecting centrifugal pumps. Such valves automatically recirculate a predetermined minimum flow back to the source or a storage tank during low-load conditions, including startup, shutdown, and process …

Sacrificial Integral Liner Plug Seating With Pressure Drop Offsetting For Flashing In Globe Valves, Iniyankarthik Telungupalayam Ramakrishnan, Senthil Ramasamy, Joseph G. Shahda

Defensive Publications Series

Ultra Supercritical (USC) power plants operate at extremely high pressures (typically above 250 bar) and temperatures exceeding 600°C to achieve maximum thermal efficiency. During boiler startup, water must be gradually introduced into the system to control thermal stress and prepare for steam generation. This process requires precise regulation of water flow under severe transient conditions. The water control valve used in this application is normally closed when the boiler is offline. Once opened, it operates continuously for approximately four hours during startup to manage controlled heating and pressure buildup. During this period, the valve experiences extreme operating conditions, including: • …

A System And Method For Real-Time Adaptation And Dynamic Learning Of Artificial Intelligence (Ai) Model, Yu Gu, Sheng Wang, Sam Hamilton

Defensive Publications Series

The present disclosure provides a method and a system for real-time adaptation and dynamic learning of artificial intelligence (AI) model. The method includes incorporating a decoupled multi-model architecture. The multi-model architecture comprises a base module and a feedback module. The method includes training the base module based on the historical transactions data to provide a generalized baseline prediction. The method includes training the feedback module based on the emerging data to provide a real-time prediction. Further, the method includes performing ensemble on the predictions of the base module and the feedback module to provide a reliable and accurate prediction of …

Method, System, And Computer Program Product For Processing A Transaction Using A Location-Based Model, Shawn L. Johnson, Justin Fan, Shizhuo Yu

Defensive Publications Series

Methods, systems, and computer-readable media are disclosed for executing electronic transactions using a location-based predictive model. In one implementation, a location of a user device is monitored and provided to a machine learning model configured to predict a merchant proximate to the device. Merchant information is presented via a user interface, and user input requesting transaction initiation is received. In response, a communication session is automatically established with a merchant application associated with the predicted merchant. The system automatically generates a transaction message comprising user transaction data, credentials, and contextual parameters derived from location and user state, and transmits the …

Optimized Collective Operations For Distributed Machine Learning, N/A

Defensive Publications Series

This publication describes a method for accelerating All-Gather and Reduce-Scatter collective operations in large language models (LLMs) by introducing a new 12-bit floating-point (fp12) datatype, specifically e4m7. This approach aims to reduce network communication overhead by quantizing these operations, thereby decreasing the network payload while maintaining model quality. This document details the problem of communication bandwidth limitations in distributed LLM training and serving, explores related work, and presents experimental results demonstrating the efficacy of the fp12 (e4m7) datatype in various model parallelism configurations.

Process For The Preparation, Isolation And Purification Of Dual Agonist Polypeptide, Anonymous

Defensive Publications Series

An improved process for preparation, isolation, purification and isolation of DUAL AGONIST POLYPEPTIDE

DUAL AGONIST POLYPEPTIDE

Orthogonal Memory Projection For Alignment In Stateful Generative Models, Neel Mohbe

Defensive Publications Series

A system and method is needed to mitigate potential alignment erosion in stateful generative models where continuous learning could alter pre-trained safety priors. The technology can introduce a parallel control architecture that may operate alongside a host model to help decouple learning capabilities from alignment constraints. The system can, for example, employ a dual intervention using a runtime residual correction interface to steer immediate output away from undesirable content, and an orthogonal memory projection interface to sanitize signals before they can be written to the model's persistent memory. By mathematically projecting undesirable components out of the memory-write signals, the system …

Automated Multi-Stage Build Error Remediation By Propagating Dormant Suppression Tags, Rishipal Singh Bhatia

Defensive Publications Series

In some multi-stage software build pipelines, downstream compiler errors may be reported against ephemeral, machine-generated intermediate artifacts rather than original, human-written source code, which can make remediation challenging. A system and method may address this by intercepting a downstream error, mapping its location back to the original source file, and programmatically injecting a dormant suppression tag into the original source code. During a subsequent build, an intermediate transpiler can propagate this tag into a newly generated intermediate artifact. In the intermediate file, the tag may become active and be recognized by the downstream compiler as a directive to suppress the …

Cerenkov-Based Borehole Fluid Characterization Tool

Defensive Publications Series

When a pulsed neutron tool (PNT) is fired, on the order of 1e8 neutrons per second are produced. Each of these neutrons carries 14.1MeV of kinetic energy. This energy is largely deposited in neighboring materials through inelastic scattering. This results in a large amount of ionization in the surrounding materials. A large number of the electrons liberated in this process have kinetic energies that are large when compared to the electron’s rest mass making them fairly relativistic. If these relativistic electrons propagate inside a transparent material, such as oil or water, they will radiate photons through a process called Cerenkov …

Contact Center Agentified Topic Analysis, Fergal Keating

Defensive Publications Series

A contact center, sometimes referred to as a call center, is used to help provide solutions for different user inquiries and requests.  For instance, a user (e.g., a customer) can initiate contact or an interaction with a human or artificial intelligence (AI) agent of a contact/call center in which the human/AI agent can help address a possible issue of the user, such as with respect to a product or service involving the user.  This submission proposes specially designed contact center agents, such as a Topic Collector Agent (TCA) and a Topic Routing Agent (TRA) that can operate to gather topics …

Adaptive Peer Hedging For Dynamic Tail Latency Control In Ml Inference Pipelines, Hao Qin

Defensive Publications Series

Method and system for reducing tail latency in machine learning inference pipelines are disclosed. The system includes a primary orchestrator configured to receive an inference request from a client tier component and dispatch the request to a primary execution pool. An adaptive delay controller computes a dynamic hedge delay by optimizing a joint objective balancing tail latency and duplicate execution cost. During the delay interval, a latency risk index (LRI) module computes a LRI using telemetry signals including queue gradients, stage timing deviations, peer load metrics, and network jitter. Upon delay expiry and elevated stall risk, the primary orchestrator forwards …

Two-Stage Sequential Turbine Design With A Threaded Connection

Defensive Publications Series

Two-stage sequential turbocharger layouts are often preferred for increased pressure ratio and flow range requirements. Prior-art solutions using combination of axial and radial stages use a complex shaft design or horizontally split casing deviating from existing assembly process and increasing cost. The proposed invention discloses a two-stage sequential turbine having a two-shaft design wherein the two axial turbines are joined by a threaded connection.

A Compact Electrical Centrifugal Compressor For Cooling

Defensive Publications Series

Thermal management of battery systems plays critical role in refrigerant-based vehicle cooling systems. Although scroll compressors remain dominant choice of the industry, they pose significant challenges in terms of lower coefficient of performance and higher NVH (noise / vibrations) especially for cooling needs above 20KW. The proposed solution discloses an innovative compact electrical centrifugal compressor that offers significant reduction in size, oil free high-speed operation, and reduced NVH.

Impurity Control In Api

Defensive Publications Series

IMPURITY CONTROL  IN API

Ribociclib Succinate

Hndl_Ip: Harvest Now Decrypt Later Applied To Intellectual Property — Ingestion, Inversion, And Directional Architecture Of Ai Governance Failure, David Lee Wise

Defensive Publications Series

This material modification document (MM-09) establishes the HNDL_IP theory: the application of "Harvest Now, Decrypt Later" cybersecurity strategy to intellectual property. AI platforms ingested copyrighted works and public domain governance principles (2016–present) without consent, operating in legal ambiguity with intent to resolve ownership claims when too large to fail. The document proves through sourced evidence that: (1) HNDL is a documented strategy since 2016; (2) AI training constitutes mass unauthorized ingestion; (3) courts are ruling against fair use defenses; (4) billions in damages are pending. Two addenda document critical findings: (A) platforms ingested the very governance frameworks they violate—ROOT0/human apex …

Methods And Systems For Determining Safe Navigation Routes For A Vessel, Malte Mittendorf, Jesper Dietz, Matthew Nunes, Jacob Hicks, Khushboo Kashyap, Gour Bera, Lauge Kongstad, Guilherme Morgado, Aravind Reddy Pagidela, Martin Merker

Defensive Publications Series

Methods and server systems for determining safe navigation routes for a vessel are disclosed. The method performed by a server system includes receiving route information for operating the vessel. The method includes accessing a plurality of vessel operating parameters recorded at predefined intervals for the vessel. The method includes predicting at least one vessel response parameter for the vessel using at least one Machine Learning (ML) model based on the plurality of vessel operating parameters. Each of the at least one vessel response parameter indicates a predicted response of the vessel within a defined area surrounding the vessel along a …

System And Method For Achieving Deterministic Recovery And Reconciliation In Distributed Transactional Data Pipelines, Soumendra Kumar Mishra

Defensive Publications Series

This disclosure describes system and method for achieving deterministic recovery and reconciliation in distributed transactional data pipelines. The system introduces a deterministic control architecture that captures anomaly signals through an event recording mechanism and executes reproducible corrective actions via coordinated agentic components. A recovery engine reconstructs missing or partially processed data by analyzing distributed execution artifacts, restoring consistent intermediate states, and materializing affected partitions. A reconciliation engine deterministically merges late or unprocessed records with previously processed datasets using strict deduplication rules, cut aligned aggregate re-computation, and version preservation policies. The system ensures that any recovery or reconciliation action, regardless of …

Gci Invention #258-B: Whirlybird V3.0 – High-Wind Autorotating Fire Suppression & Nutrient Delivery System, Michael Victor Caldwell Mr.

Defensive Publications Series

GCI Invention #258-B describes WHIRLYBIRD v3.0, a passive boundary-layer controlled (PBLC) autorotating samara-wing system for ballistic delivery of fire suppressants and precision nutrients in 70+ mph crosswind conditions.

Aerodynamics: Asymmetric high-camber samara wing with spanwise-zoned vortex-grate perforations (root/mid/tip density gradient), geometric twist, and tip micro-tabs for stable LEV, TSR ≈2.2, and 550-650 RPM autorotation. Chordwise stiffness gradient enables passive gust-load shedding (FoS ≥2.5 ultimate, ≥1.5 fatigue). Central high-inertia core provides gyroscopic stability.

Dispersal: RPM-altitude dual-trigger centrifugal release (550-650 RPM + 15m AGL) with internal vanes for 15m uniform ground coverage. Hybrid pellets (outer Purple-K for flame knockdown + inner MAP/polyphosphate …

The Vortex–Acoustic Bio‑Refinery (Vabr): A Modular Low‑Pressure System For Converting Sewage Sludge Into Astm‑Compliant Biodiesel, Michael Victor Caldwell Mr.

Defensive Publications Series

The Vortex–Acoustic Bio‑Refinery (VABR) is a conceptual modular system designed to convert municipal sewage sludge into ASTM‑compliant biodiesel using a combination of vortex‑based solids concentration, dual‑frequency acoustic processing, and catalyst‑assisted chemical transformation. The invention proposes a low‑pressure, low‑temperature alternative to high‑pressure hydrothermal liquefaction (HTL), with the goal of reducing mechanical complexity, improving operator safety, and enabling decentralized deployment at wastewater treatment facilities. The VABR concept integrates fluid‑dynamic separation, acoustic disruption of organic structures, and catalyst‑supported biodiesel‑compatible reactions. This disclosure outlines the scientific principles, conceptual system architecture, and potential advantages of the VABR compared to existing waste‑to‑fuel technologies. It is released …

Gci‑V28‑M “Lazarus Prime” – Shipboard Organic Waste‑To‑Fertilizer Pelletization System, Michael Victor Caldwell Mr.

Defensive Publications Series

GCI‑V28‑M “Lazarus Prime” v1.2 is a ship‑ or port‑integrated continuous processing system that converts marine biomass and compatible organic wastes into a sanitized, calcium‑rich, biochar‑enhanced fertilizer pellet. The system is organized into three hygienic zones: (1) intake and mastication, (2) hull‑integrated thermal/acoustic processing, and (3) clean dewatering and pelletization. Feedstock blends typically include marine trimmings, cardboard pulp, crushed oyster shell or glass, biochar, and green waste.

After shredding to <10 mm, the material is mixed with seawater to form a 15–20% solids slurry. The slurry passes through a hybrid hydrodynamic/ultrasonic cavitation reactor (three 20 kHz horns, 2 kW total, 316L stainless with ceramic wear inserts) followed by a jacketed plug‑flow reactor (DN100 SS316L, ~280 m effective length). Waste heat from the ship’s engine jacket‑water loop maintains ~70 °C for approximately 52 minutes, achieving a ≥5‑log pathogen reduction consistent with established sanitation time–temperature curves.

A polyurethane‑lined hydrocyclone removes microplastics, and a screw press reduces moisture to ~30%. Steam conditioning activates natural binders before extrusion through a 3.5 mm chromium‑alloy flat‑die pellet mill. Pellets are cooled …

The Marine‑Duo V26‑M System For Organic Mineralized Fertilizer Production From Marine Biomass Waste Streams, Michael Victor Caldwell Mr.

Defensive Publications Series

The Marine‑Duo V26‑M System is an open, modular, and real‑world‑viable process for converting marine biomass waste streams into a stabilized, mineral‑rich organic fertilizer pellet. The system integrates maceration, hydrodynamic cavitation, indirect thermal drying, and controlled pelletization to produce a slow‑release, carbon‑dense fertilizer containing organically bound nitrogen, phosphorus, potassium, and a broad spectrum of marine‑derived micronutrients. The process preserves natural biostimulants such as chitin and alginates, which support soil structure, moisture retention, and plant immune responses. This disclosure provides a complete conceptual blueprint of the system architecture, chemical composition, agronomic benefits, and environmental rationale to ensure the invention remains freely available …

Cryptographically Binding Authorization Context To Llm And Api Request Execution, Niranjan M M

Defensive Publications Series

Modern API and LLM security solutions focus primarily on detecting malicious requests and deciding whether a request should be allowed or blocked at the API security gateway. While effective for identifying prompt-injection attempts and API abuse, these mechanisms do not provide a reliable way to enforce what an approved request is allowed to do after it leaves the gateway. In real-world LLM systems, requests commonly undergo downstream prompt construction, retrieval-augmented generation (RAG), agent interactions, and tool execution, which may introduce indirect prompt injection and unintended capability escalation beyond the gateway’s visibility.

The proposal introduces a Signed Authorization Context (SAC) mechanism …

Dynamic Memory Management System For Distributed Data Processing Environments, Katyayani Kiranmayee Kolluru, Shivam Mohan, Ravi Shanker Kumar Sinha, Hardik Jain

Defensive Publications Series

The present disclosure relates to a system and method for dynamically managing memory allocation in a distributed data processing platform. The system includes a plurality of workers executing tasks with varying memory requirements, each equipped with a memory sentinel monitoring runtime parameters. A risk engine computes a risk score from telemetry data received from the memory sentinels to anticipate out-of-memory conditions and adjust resource profiles accordingly. When a high risk is detected, the system requests larger resource profiles from a resource manager, provisions new larger workers, and reallocates memory-intensive tasks while preserving their state through a state transfer plane. This …

Method And System For Optimizing Memory Utilization In Computing Environments, Satyam Raj, Shivam Mohan, Ravi Shanker Kumar Sinha, Pradeep Choube

Defensive Publications Series

The present disclosure relates to a system and method for optimizing memory utilization using a reinforcement-learning-driven, bidding-based page-replacement algorithm in computing environments. The method involves monitoring memory usage patterns from multiple processes through a memory management unit, calculating an affinity score for each page in a buffer cache based on access characteristics (including recency, frequency, tenure, working-set membership), page-fetch/IO cost, job-submission timestamps, and physical block identifiers, and determining page-eviction decisions via a bidding process in which pages with lower affinity scores are selected for eviction. The system comprises a buffer cache for rapid data access, an affinity calculator for assigning …

Trusted And Mutually Authenticated Agentic Ai Communication, Niranjan M M

Defensive Publications Series

Current MCP design carries a wide range of security risks. For example, Industry-leading LLMs may be coerced to use MCP tools and compromise an AI developer’s system through a wide range of attacks viz., Malicious code execution, Remote access control, Credential theft etc.,

Proposed method adds Transaction Database, based on Distributed Hash Table (DHT), where-in every Agentic AI maintains local chain of transactions with other Agentic AI, which are mutually signed. This can be used for auditing of the messages/transactions and telemetry (with the chain of events). As per the proposed method, mutually authenticate the messages (contextual data) between Agentic …

Policy-Constrained Plan Generation For Autonomous Ai Agents, Niranjan M M

Defensive Publications Series

Autonomous AI agents generate execution plans that involve delegating tasks, invoking tools, and selecting execution environments across heterogeneous and multi-provider deployments. In government and defense environments, AI artifacts handled by these agents are subject to strict privacy, sovereignty, organizational, and clearance-based policies.

Existing AI governance mechanisms enforce policy compliance at system boundaries or during execution, after an agent has already generated a plan. As a result, agents may produce execution plans that are inherently non-compliant and only fail at runtime. Current systems do not constrain the agent’s planning process itself.

The proposal introduces a policy-constrained plan generation method for autonomous …

Gci Universal Acoustic Access Platform (Uaap V1.0): Modular System For Acoustic Access Research Using Phantom Models, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure describes the GCI Universal Acoustic Access Platform (UAAP v1.0), a modular research system designed to evaluate acoustic access strategies using phantoms and non‑biological analogs. The platform integrates:

1. Acoustic Window Modules that explore impedance‑matching concepts using gels, water layers, and controlled aerosol layers;

2. An Active Organ‑on‑Chip Laboratory using low‑absorption polymer microfluidics and vortex‑enhanced flow channels; and

3. A Smart Beam Tracker that predicts phantom motion and adjusts transducer alignment in real time.

The UAAP platform enables engineers and researchers to study acoustic transmission through bone‑like materials, air‑gap phantoms, and tissue‑mimicking gels. This disclosure provides system architecture, materials, phantom …

Angle Adjustment For Glasses Arms, Jacobi Grillo

Defensive Publications Series

Temple adjustment wedges are provided to personalize the fit of smart glasses such as glasses that can include a head-mounted display (HMD), a heads-up display (HUD), or an augmented reality overlay. The fit of a pair of smart glasses can be adjusted by inserting one of a set of adjustment wedges having a predetermined size or opening angle. The adjustment wedge can also be adjusted using a set screw that can be rotated to alter the size or opening angle of the adjustment wedge. The visual appeal of the smart glasses can be enhanced by the design or color of …