Digital Commons Network^™

The Eye Glasses Mounted Camera Tracking Based Touch Interface That Has The Capability To Dynamically Switch Between A Keyboard And A Trackpad Based On Relative Hand Positioning Configurations Where A Structured Logical Surface Will Be Utilized To Execute The Dynamical Switching Procedures., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes an eye glasses mounted camera tracking based touch interface that has the capability to dynamically switch between a keyboard and a trackpad based on relative hand positioning configurations where a structured logical surface will be utilized to execute the dynamical switching procedures. The eye glasses mounted camera tracking based touch interface, in order to execute its functionalities, will utilize a computer system, an eye glasses mounted dual camera module that will observe the space in an angular manner, an external touch screen and a structured logical surface. The user of the eye glasses mounted camera tracking based …

Motion: A Bounded Nonlinear Phase Controller Formulated As A Port-Hamiltonian System On Compact Manifolds, Olexandr Lozovyi

Defensive Publications Series

This disclosure presents a novel nonlinear phase-based control architecture, termed MOTION, designed for energy-efficient actuation on compact manifolds $S^1$ and $T^N$. Unlike traditional PID controllers that rely on artificial clamping, MOTION utilizes a sinusoidal control law $u = -K \sin(\Delta\varphi)$ to achieve intrinsic effort bounding. The closed-loop system is formally derived as a dissipative port-Hamiltonian system, enabling rigorous verification of almost-global asymptotic stability (AGAS), input-to-state practical stability (ISpS), and incremental stability via contraction analysis. A key technical contribution is the FPU-free, 16-bit integer implementation optimized for embedded microcontrollers, demonstrating a 30.8% reduction in control effort ($\int U^2 dt$) compared to …

Gci #276 – Omni-Sentinel Mesh (Osm) V4.0, Michael Victor Caldwell Mr.

Defensive Publications Series

GCI #276 – Omni-Sentinel Mesh (OSM) v4.0 is a production-ready firmware blueprint transforming existing infrastructure (2M miles dark fiber DAS, 200K 5G/6G towers, 6K LEO satellites) into a 45–90 minute tornado warning network (<40% FAR, 95% coverage, $50–100M total cost). Three pillars: (1) DAS phase-velocity filtering (TRL 7, 50–100 mi), (2) MEMS stochastic resonance + 6G ISAC OAM tomography (TRL 6, 20 mi), (3) satellite ionospheric detection (TRL 5, 200+ mi). All challenges solved: noise via GCI #301 correlation, MEMS SNR via #75 mesh sync, OAM via #23 pilot signals, latency via edge computing. 3–7x lead time over NOAA. Download-ready firmware (4 packages). Public-private partnership + FCC ERCES path. Licensed under CERN-OHL-P.

Caldwell-Pulse: Complete Open-Hardware Atmospheric Water Harvester For Desert Survival (Gci #272), Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell-Pulse (GCI #272) is a 2.8 lb (1.27 kg) backpack-portable atmospheric water harvester producing 2.5–4.0 L/day from 10–20% RH desert air. This complete open-hardware release includes:

• Bill of Materials: $254 prototype cost, $99 consumer target (all suppliers listed)

• Step-by-Step Assembly: 4-hour build using 3D printer + makerspace tools

• Test Protocol: DIY desert chamber validation (10% RH, 40°C)

• Performance Targets: 15–20 cycles/day via Cu-NH₂@MOF-303 (0.1 min adsorption), SAW piezo desorption (<2 min), ZnO-cellulose radiative cooling (9.2°C sub-ambient)

Key Advantages: 20x lighter than commercial AWGs, works at 4x lower RH, 200x cheaper. CERN-OHL-P license enables unrestricted humanitarian replication. Every component commercially available today.

Files Included: OpenSCAD Arachne …

Generation Of Synthetic Data Via Embedding-Based Semantic Replacement From A Controlled Lexicon, Paramesh Manickavelu, Tomek Rutowski, Saeed Mirza, Paul Hsu, Stevan Malesevic

Defensive Publications Series

Evaluation of conversational artificial intelligence systems can depend on diverse datasets, but using raw user data may introduce privacy risks, and some anonymization techniques, such as redaction, can degrade data utility. A system for generating synthetic data can operate by transforming original text prompts. For example, a process can involve tokenizing a prompt, generating vector embeddings for the tokens, and performing a semantic search against a vector database. This database may contain embeddings for terms from a controlled, privacy-safe lexicon. Original tokens can be replaced with semantically similar counterparts from this lexicon to assemble a new, synthetic prompt. This technique …

Multi-Device Interactive Narrative System With An Ai Companion Initialized From Narrative Interaction Data, Qingfei Tian

Defensive Publications Series

On-screen user interfaces for interactive narratives may disrupt immersion and can lack mechanisms for persistent user engagement after a story concludes. A multi-device architecture may be used where a primary display presents cinematic content while a synchronized secondary device, such as a smartphone, smart watch, or other wearable device, manages diegetic user interactions via voice, motion, or touch. A remote server can orchestrate the experience and log user choices. This interaction data can be used to create a profile that contextually initializes a persistent artificial intelligence (AI) companion, seeding it with a memory of the user's specific narrative journey. This …

Angular And Distance Estimation In Multi‑Antenna Wireless Communication Systems, Pouria Zand, Sunil Kumar

Defensive Publications Series

Precise distance estimation between a primary computing device and a pair of wireless earbuds is often limited by the unreliability of Received Signal Strength Indicator (RSSI) methods. This disclosure describes a method for a coordination framework for distance and orientation estimation using Bluetooth® Channel Sounding (CS). In this method, a secondary earbud acts as a passive listener to phase‑based ranging (PBR) exchanges between the primary device and a primary earbud. By sharing configuration parameters (e.g., timing and pseudorandom seeds) the secondary earbud sniffs signal exchanges to enable the primary device to mathematically calculate secondary distance measurements. Additionally, dual‑band operation is …

Rib‑Divided Speaker Back Chamber For Preventing Sound Absorbing Material Accumulation, Yuting Tsai

Defensive Publications Series

Small speaker modules often utilize sound absorbing material within a back chamber to increase bass sound pressure. However, because manufacturing processes frequently leave these chambers partially unfilled, the material can shift and accumulate in different areas depending on the orientation of the module or the effects of forces acting on the modules (forces such as gravity or centrifugal force). This movement may alter resonant frequencies and lead to inconsistent acoustic performance.

This document discloses a speaker module that includes an internal back chamber partitioned into multiple smaller sections by integrated ribs. The partitioned sections contain sound absorbing material. The module …

Speeding Up Expert Parallelism By Replacing All-To-All By All-Gather And Reduce-Scatter Collectives, N/A

Defensive Publications Series

The technology described in this paper relates to parallel processing in machine learning models, particularly speeding up expert parallelism in mixture-of-expert (MoE) architectures. A technique for replacing traditional all-to-all network collective communications with all-gather and reduce-scatter operations is proposed. For expert dispatch, accelerators can locally perform routing and top-k calculations by utilizing an all-gather operation and discarding unassigned tokens. For expert collect, a reduce-scatter operation can combine expert output activations over the network. These collective communication strategies can decrease network payload sizes and improve bandwidth utilization, particularly as the number of experts activated per token increases. Thus, training and inference …

The Arachne Thermal Ecosystem: A Passive, Rechargeable Latent‑Heat Survival Suit For Humanitarian Deployment, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure presents the GCI #2 Arachne Thermal Ecosystem, a passive, zero‑power thermal‑battery survival suit designed for extreme cold, submersion, and disaster environments. The system uses a Sodium Acetate Trihydrate (SAT) latent‑heat phase‑change medium, stabilized with Expanded Graphite (EG) and distributed through a platinum‑cured silicone micro‑capillary lattice. This architecture enables uniform, controlled heat delivery for 6–8 hours without electronics or external power.

The suit is fully rechargeable using only hot water or radiant heat sources above 60 °C, including campfires, stoves, vehicle exhaust, or boiling water. Integrated safety features include bimetallic overheat vents, hydrophobic ePTFE membranes, check‑valve zone isolation, and …

Proximity-Triggered Context Migration For Generative Ai Sessions Across Heterogeneous Devices, Arpit Goyal

Defensive Publications Series

This publication describes a protocol that enables continuous generative artificial intelligence (AI) sessions by migrating active state-buffers between heterogeneous hardware devices based on spatial awareness. By utilizing proximity-triggered state buffering, cryptographic token sharing, and neural state re-hydration, the system securely transfers the tokenized and contextualized processing state of an ongoing language model conversation from a source device to a target device.

Keywords: generative artificial intelligence, AI session continuity, heterogeneous hardware, active state buffers, large language model, neural state re-hydration, proximity-triggered migration.

The Composite Automobile Switching System That Will Enable The Users To Dynamically Switch Required Automobiles Based On The Users’ Preferences And The Journey Types., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a composite automobile switching system that will enable the users to dynamically switch required automobiles based on the users’ preferences and the journey types. The composite automobile switching system will consists of a collection of automobiles, a collection of passengers or people utilizing the automobiles, a collection of refuel stations, a collection of recharging stations and an online automobile booking and trip payment system. The collection of automobiles that will be included within the composite automobile switching system will be required to have the dual capability of being able to self-drive when required and the capability to …

Locating Vehicles Within Parking Facilities, Daniel Adam

Defensive Publications Series

This document describes a computing device (e.g., processing service, mobile phone, wearable device, smart device, vehicle, etc.) that aids in vehicle retrieval by collecting inertial, visual, and environmental data to guide a user to a parked vehicle within complex, multi-level parking structures. For instance, the computing device may utilize a multi-sensor fusion approach to integrate data from mobile computing device components such as barometric sensors, tilt sensors, accelerometers, gyroscopes, cameras, etc., and data from additional computing devices such as cameras, vehicles, charging ports, barriers, etc., to determine parked locations of vehicles. Further, the computing device may utilize the multi-sensor fusion …

Pharmaceutical Composition Of Resmetirom Tablets, Anonymous

Defensive Publications Series

ABSTRACT

A stabilized pharmaceutical composition comprising Resmetirom or a pharmaceutically acceptable salt thereof and at least one pharmaceutically acceptable excipient, wherein said composition simultaneously achieves desired dissolution profile, stability and bioavailability.

A Hybrid System For Multi-Stage Generation Of Contextual Translation Variants, Leonid Kuligin, Thomas Zettl

Defensive Publications Series

Some automated translation systems may be limited by producing a single, high-probability output, which can lack the linguistic diversity beneficial for certain applications. A hybrid, multi-stage workflow can generate multiple contextual translation variants by utilizing a probabilistic generative model, such as a large language model, to produce an initial set of translation candidates based on specified constraints. These candidates may then be programmatically refined, rated for quality, and deduplicated using deterministic and semantic techniques. By producing a curated list of distinct translation options instead of one output, this process can provide broader linguistic coverage to improve the performance of dependent …

Telemetry And Identity Chip Passport Protocol For Modular Storage Devices, N/A

Defensive Publications Series

This disclosure describes a telemetry and identity architecture for storage devices designed to facilitate hardware modularity, component-level flexibility, and streamlined data recovery. By decoupling a logic controller from the storage media and utilizing a dedicated non-volatile chip on the media module, the system enables seamless pairing and replacement of hardware components without the risk of data corruption. This dedicated chip functions as a hardware abstraction layer, storing specific metadata that allows a logic module to adopt and operate the media by understanding its unique physical characteristics. The architecture ensures data integrity and accessibility through a secure communication protocol and persistent …

Multi-Sense Point Voltage Adaptive Clocking Element, N/A

Defensive Publications Series

This disclosure describes a clocking system configured to dynamically adjust clock frequency in response to localized and global voltage variations across an integrated circuit die. The system employs multiple sensing points distributed across various regions of a semiconductor device to monitor supply voltage levels with low latency. By processing digitized data from these multiple sensors through look-up tables that characterize voltage-to-frequency relationships, the system identifies the most restrictive operating conditions. A centralized clocking element then adapts the output frequency to ensure stable operation even during rapid, high-slew-rate voltage droops. This proactive management allows for higher performance by reducing the need …

Redundant Relay Configuration For Safety And Isolation In High-Voltage Power Distribution Systems, N/A

Defensive Publications Series

The present disclosure describes a system and method for implementing safety redundancy in high-voltage direct current power distribution units using a master-slave relay configuration. By placing a master relay at the input of a power distribution unit, ahead of secondary relays and protective fuses, the system can independently isolate a single damaged unit without requiring a total system shutdown. The master relay typically remains in a closed state during normal operation and is commanded to open only when a fault, such as contact welding, is detected in the secondary relay. This approach mitigates the risks associated with inrush currents and …

Nitrogen Rework For Solder Hot Tear Mitigation, N/A

Defensive Publications Series

The technology described in this paper relates to a technique for mitigating solder hot tear defects during rework of double-sided package assemblies on a printed circuit board. By introducing a nitrogen-rich environment to the non-reworked package on the opposite side of the board during the top-side rework process, oxidation of the solder joints can be reduced. The nitrogen rich environment improves solder surface tension and fluidity, promoting re-wetting and mitigating the separation of bulk solder from the intermetallic compound at the pad interface.

System And Method For Network Infrastructure Asset Management And Supply Chain Orchestration, N/A

Defensive Publications Series

This publication describes systems and methods for managing supply chain operations and asset lifecycles within large-scale network infrastructures. The approach utilizes a layered software architecture to decouple supply chain planning from execution processes, enabling scalable and high-velocity hardware deployments. Hardware systems ordered as top-level assemblies are tracked and capitalized at the component level to facilitate accurate financial reporting, equipment upgrades, and decommissioning. Data from bill of materials services, procurement tracking platforms, and logistics proxies are aggregated to reconcile active network devices with their corresponding enterprise financial records.

Keywords: supply chain orchestration, asset management, network infrastructure, component reconciliation, top-level assemblies, …

Artificial Intelligence-Assisted Physical Design Convergence Cockpit, N/A

Defensive Publications Series

The design of modern semiconductors face challenges with numerous parallel place and route runs triggered by continuous updates, which are utilized to achieve quality of results and power, performance, and area convergence. The described technology introduces an artificial intelligence-assisted physical design convergence cockpit, which operates as a multi-agent system powered by large language models and retrieval-augmented generation engines. This system acts as an autonomous orchestrator that monitors design repositories, intelligently launches and tracks electronic design automation flows, performs real-time failure triage by parsing log files, and executes self-healing design closures by generating corrective scripts. The system features a modular architecture …

Symmetry-Aware Optimization Framework For Network Topology And Collective Algorithm Co-Design, N/A

Defensive Publications Series

The technology relates to a software framework providing for the simultaneous co-design of network topologies and collective communication algorithms in distributed computing environments. The software framework utilizes a graph-theory-based model to represent computing nodes and physical communication links, encoding hardware and software parameters into a solver-readable mathematical formulation. By applying combinatorial optimization solvers, the software framework identifies highly efficient physical cabling schemas and corresponding algorithmic routing schedules. To handle highly complex search spaces, the approach leverages graph automorphisms and symmetries in collective operations to significantly reduce the combinatorial search space. This enables the generation of tailored interconnect architectures and message-passing …

Active Thermal Balance Of Power Module, N/A

Defensive Publications Series

The present disclosure describes a system and method for achieving active thermal balance across multiple power modules connected in parallel. By monitoring the voltage, current, and operating temperature of each module, a control engine identifies thermal imbalances that may persist even when current sharing is implemented. The control engine adjusts operational parameters, such as duty cycle, switching frequency, and deadtime, to redistribute the thermal load among the modules. This coordinated adjustment reduces thermal stress and temperature swings, thereby extending the operational lifetime of the power supplies and improving overall system reliability.

Keywords: Active thermal balance, power module, thermal stress redistribution, …

System And Method For Dynamic Material Delivery Scheduling Via Asynchronous Constraint Resolution, N/A

Defensive Publications Series

This publication describes a technology for managing supply chain material delivery schedules through asynchronous constraint resolution. The system replaces static delivery dates with dynamic calculations based on real-time event signals. An event ingestion layer receives updates from non-logistics systems, such as site readiness tools and workforce management databases. A central logic engine evaluates these signals against a hierarchical priority logic to throttle warehouse execution at an individual line-item level. When constraints clear, the system automatically triggers a global re-optimization of the delivery schedule to synchronize material arrivals with available resources.

Keywords: dynamic scheduling, asynchronous constraint resolution, supply chain management, …

Systems And Methods For Repairability-Driven Error Detection And Mitigation, N/A

Defensive Publications Series

This publication discloses systems and methods for enhancing computing hardware reliability through repairability-driven error detection. Upper-layer software components select a minimum repair action to address hardware or low-level software errors. Each error type is associated with a tagged minimum repair action, which may be determined statically or dynamically at runtime. Machine learning models or expert inputs can be utilized to derive the tagged repair actions based on historical error logs and remediation probabilities. Additional environmental or diagnostic conditions may guide the selection of a specific repair action. The system evaluates both the execution time and the diagnostic time to select …

Universal Power Summer For Low-Voltage Direct Current Power Distribution, N/A

Defensive Publications Series

A low-voltage direct current power distribution system pools power from multiple direct current inputs simultaneously into a single output using solid-state components. The system utilizes silicon carbide metal-oxide-semiconductor field-effect transistors configured as active diodes to sum independent direct current power sources, enabling configurable redundancy models at the load level. If an upstream power source experiences a fault, the system detects reverse current flow and isolates the fault in microseconds. This approach allows load balancing through resistive droop sharing and provides uninterrupted power delivery without switching transients.

Keywords: low-voltage direct current, universal power summer, silicon carbide, active diode, resistive droop …

Embedded Components In Printed Circuit Board Cavities, Na

Defensive Publications Series

This publication details structural configurations for embedding components within printed circuit board cavities. As printed circuit boards are designed with increased thickness, incorporating recessed cavities allows for heterogeneous layers that accommodate components across multiple different levels. The described structures open possibilities for advanced cooling designs, improved signal integrity, reduced vertical height, and decreased material weight. For example, embedded cold plates can reside within these cavities to provide effective thermal management for components located on the opposite side of the board. Furthermore, vertical power modules or capacitors can be embedded into cavities directly opposite to an application-specific integrated circuit to shorten …

Hybrid Mesh-Grid Clock Design For Low Latency And Low On-Chip-Variation, N/A

Defensive Publications Series

The technology described in this paper relates to a hybrid spine-mesh clock distribution network configured to deliver high-frequency clock signals across a network-on-chip fabric in a system-on-chip architecture. The network minimizes clock latency, clock skew, and the overall impact of on-chip variation. The network combines spine-based distribution structures with a grid-like mesh topology. Main spines route the clock signal in a primary direction using upper metal layers while distributed trees or sub-grids branch orthogonally to deliver the clock signal to localized functional areas. A final stage mesh connects to local sequential elements, providing multiple propagation paths that average out localized …

Policy-Driven Scalable Generation Of Network Configurations With Dynamic Parameters, N/A

Defensive Publications Series

The technology described in this paper relates to generating network configurations utilizing a stateless, policy-driven architecture. The technology utilizes a centralized database storing applicable policies as the source of truth rather than persistently storing fully constructed configurations. During configuration updates, a system for generating the network configurations retrieves the applicable policies, updated with the current state and regenerates the network configurations entirely from scratch. A multi-phase translation process handles dynamic parameter constraints by gathering parameters, generating mutually exclusive and exhaustive override blocks using a recursive algorithm, and mapping applicable policies to these generated blocks via a soft matching process. This …

Securing Machine Learning Models During Edge Inference, N/A

Defensive Publications Series

The technology described in this paper relates to securing high-value machine learning models during inference in various environments, such as edge computing locations. A hardware accelerator, such as an application specific integrated circuit (ASIC), decrypts machine learning model data using internal secrets and memory locking mechanisms. This approach prevents untrusted host systems from reading plaintext data, thereby reducing the trusted compute base (TCB) to the hardware accelerator and its firmware. The implementation of the present technique may include end-to-end encryption to allow for performing a direct key exchange with the hardware accelerator, facilitating private inference without exposing certain data to …