Digital Commons Network^™

Markerless Estimation Of Ground Reaction Forces From Video For Biomechanical Assessment In Orthotics And Prosthetics, Ricki M. Pierce, Hunter Gilbert, Hyun Kim

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Model-Reference Adaptive Flight Control Of The 95-Mg Bee++, Francisco Goncalves, Conor K. Trygstad, Nestor O. Perez-Arancibia

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

A Multi-Scale Hierarchical Framework For Long-Horizon Sequential Robotic Manipulation, Mahdi Bonyani, Maryam Soleymani, Chao Wang Phd

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Anticipatory Exoskeleton Control In Low-Illumination Via Multi-Stream Spatial-Temporal Graph Convolutional Networks, Maryam Soleymani, Mahdi Bonyani, Chao Wang Phd

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Learning Hidden Control Laws For Gps Spoofing Via Unknown-Input Estimation And Reservoir Computing, Seif O. Elsabagh, Wenbin Wan

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Multiagent Social Influence: Modeling Persuasion In Contested Social Networks, Renukanandan Tumu, Cristian Ioan Vasile, Victor Preciado, Rahul Mangharam

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Scene-Aware Multimodal Grounding For Verifiable Robot Task Planning, Kshitiz Dhungana, Nina Jiang

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Impedance Addition As A Control Primitive Unifying Kinematic And Kinetic Behavior, Hunter B. Gilbert

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Newton-Flow Particle Filters Based On Generalized Cramér Distance, Uwe D. Hanebeck

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Gap Metrics For Model Fidelity Quantification In Dynamical Systems, Quintin Nelson, Manoranjan Majji

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

Gantry Crane Payload Control Using Reference Governing Simulations, Sean Maki, Adrian Stein

2026 LSU Symposium on Control, Learning, and Intelligent Systems

No abstract provided.

User Interaction, Service Effectiveness And Digital Resource Utilization In Private University Libraries Telangana State: An Empirical Study, Chandra Chary Sreeramoj, Dr. M. Sadik Batcha

Library Philosophy and Practice (e-journal)

The purpose of this study is to observe the operational design, cognizance levels, complications faced and complete fulfillment of users regarding numerical resources in designated private university libraries in the state of Telangana. The study predominantly emphasizes on graduates, postgraduates, research scholars, and faculty members of Malla Reddy University and S.R. University. The study adopted quantitative descriptive design, and data were collected by means of a Google Form survey, resulting in 1796 legal valid responses. The examination included descriptive statistics, Chi-square tests and ANOVA to classify variances across different user groupings. The outcomes reveal that most respondents are mindful of …

The Feasibility Of A Single Educational Intervention To Improve Caregiver Confidence In Stroke Rehabilitation, Angelica Fedorchak, Jennifer E. Lape

Internet Journal of Allied Health Sciences and Practice

Purpose: Caregivers play a critical role in providing support to stroke survivors during recovery, but they often face emotional, physical, and educational challenges that can lead to caregiver burden and burnout. Despite the significant impact education can have on caregivers, rehabilitation professionals in inpatient rehabilitation settings often struggle to provide comprehensive training due to time constraints and strict productivity standards. This feasibility study aimed to evaluate whether an individualized one-time caregiver education session, integrated into the discharge planning process, could enhance caregiver confidence and whether the necessary education could be practically integrated into the existing staffing, reimbursement, and organizational structure …

Designing Robust Physiotherapy Trials: When And How To Use The Randomized Crossover Model, Manish P. Shukla, Gaurav Chhabra, Ashish Shankarrao Deshmukh, Neha Sachin Chaudhary, Neha Deshmukh

Internet Journal of Allied Health Sciences and Practice

Problem: Physiotherapy research increasingly requires methodological precision and clinical relevance. Among available designs, the randomized crossover model offers distinct advantages by allowing each participant to serve as their own control, thereby reducing inter-individual variability and improving statistical efficiency. Purpose: This perspective article discusses how appropriately designed crossover trials can enhance the quality and interpretability of physiotherapy research when applied under stable clinical conditions and with adequate washout periods. Methods: Three representative crossover studies illustrate these principles across physiotherapy specialties. In musculoskeletal practice, manual therapy for thoracic pain demonstrated measurable reductions in paraspinal electromyographic activity following counterstrain compared with spinal manipulation. …

A Comparator-Free Architecture For Maximum Product-Exponent Detection Via Or-Bucketing, N/A, N/A

Defensive Publications Series

This publication describes a hardware architecture for floating-point dot-product arrays that performs exponent alignment using a comparator-free OR-bucketing topology. The architecture uses spatial unrolling to create a single-cycle, parallel-prefix logic tree that is purely combinational. The design exploits algebraic properties to cancel out exponent biases during alignment, which allows the primary timing path to remain completely unsigned and free of bias subtractors. By managing excess timing slack, the system supports various operating modes for artificial intelligence accelerators, including high-throughput and high-efficiency modes. Keywords: floating-point, dot-product array, exponent alignment, OR-bucketing, spatial unrolling, bias cancellation, parallel-prefix logic, artificial intelligence accelerator.

Context-Driven Firewall Policy Profile Generation, Niranjan M M

Defensive Publications Series

Enterprise security environments have become increasingly complex due to hybrid work models, multiple access paths such as wireless local area network (WLAN), virtual private network (VPN), and Zero Trust Network Access (ZTNA), diverse device types, and evolving threat patterns. Modern firewalls and access platforms can consume contextual signals such as identity, device posture, time, and location, but commonly rely on static, rule-based enforcement and one-time access decisions. Proposed herein is an agentic artificial intelligence (AI) framework that continuously evaluates multidimensional access context and dynamically generates or adapts firewall security posture during a session lifecycle. The system derives session-level risk from …

Mathematical Verification And Automated Translation Of Security Policies Across Container Orchestration Platforms, Utkarsh Bhardwaj, Shivank Awasthi

Defensive Publications Series

The described technology provides an automated platform for translating security policies from a source container orchestration system to a target container orchestration system. A universal intermediate representation, structured as a directed multigraph, captures security intents which are mapped to target-native primitives. Formal mathematical methods verify that the generated policies are equivalent to the original intents. Additional features include regulatory compliance validation utilizing a compliance knowledge graph, attack surface quantification across four distinct axes, the generation of cryptographic audit certificates, and parallel processing to avoid state explosion. Keywords: Automated Policy Translation, Formal Verification, Container Orchestration, Cloud Migration, Directed Multigraph, Satisfiability Modulo …

Agi Robotics Safety And Alignment Framework, Divya Garikapati

Defensive Publications Series

General-purpose robots designed to switch between diverse roles, such as a warehouse mover and a domestic caregiver, may lack a formal, computer-implemented framework for contextual safety verification and for building an overall safe case. This can result in a disconnect between high-level commands and the robot's physical capabilities. A safety and alignment framework is provided that can employ a cascading logic chain, acting as a physical-semantic link, to validate actions before execution. This process can evaluate a command against structured definitions of the robot's operational design domain, its assigned functional role, its specific hardware embodiment, its environment and role in …

Rendering Live Data In Pre-Recorded Video Using Dynamic 3d Topology Extraction, Nikita Agarwal

Defensive Publications Series

This technology creates a way to show live, real-time information—such as current traffic or crowd sizes—directly inside a video that was recorded in the past.

The system works by following these steps:

• It analyzes a regular video to figure out the 3D shape of the environment.
• At the same time, it finds live data for the specific location shown in that video.
• It turns that live data into 3D images and places them into the video so they stay in the right spot, even if the camera moves.
• It uses depth sensing to make sure the live data is hidden …

Probabilistic Relevance Scoring Of Collaborative Action Items Using Multi-Factor Conversational Context, Room-Type-Aware Baseline Adjustment, And Transparent Reasoning, Ed Balow, Hieu Ergin, Dennis Lanov, Ray Schenkel

Defensive Publications Series

Proposed herein is an Artificial Intelligence (AI)-powered system that can automatically calculate personal relevance scores for action items using an inverse diffusion algorithm that scores tasks contrastively. The algorithm may compute how well each action item matches a contextual profile of an authenticated user, such as a profile built from conversation history, completed tasks, role, department, technical expertise, or combinations thereof, relative to how well the action item matches contextual profiles of other participants, with weighting based on participant similarity through diffusion. By constructing contextual profiles for participants using internal conversation signals, external enterprise data, or both, and by applying …

Proactive Source-Weighted Routing For Stable Peer-To-Peer Mesh Networks With Predictive Handoff, Raghav Gupta

Defensive Publications Series

A system performs proactive routing for shared internet access in peer-to-peer (P2P) mesh networks. The system continuously monitors communication link quality by analyzing signal strength and its rate of change to compute a predictive link reliability score. When this score indicates an active link is degrading, the system proactively establishes a parallel connection to a new neighbor in the background before the original link fails. This process facilitates a handoff that avoids the latency associated with reactive route discovery. The system also uses a source-weighted path selection algorithm to evaluate multi-hop routes, calculating a path score that gives greater weight …

The Dual-Agent Architecture For Real-Time Correction Of Computational Model Outputs, Heena Piratiyath, Tanmay Kayande

Defensive Publications Series

The abstract describes a system designed to ensure AI models make fair and ethical decisions in real-time. This system uses two separate AI "agents" working together:

• The Proposer: The first agent suggests a specific action or decision.
• The Checker: The second agent (an "agentic ethicist") reviews that suggestion to make sure it follows set rules for fairness and legality.

If the suggestion is found to be unfair or biased, a "safety layer" immediately changes it to a better, more compliant alternative before the decision is finalized. This method aims to catch and fix biased AI recommendations while they are being …

A Multi-Phase Pipeline For Query Deconstruction, Evidence Gathering, And Narrative Composition, Nathaniel Grabaskas, Levi Zombori, Megan Pusey, Michael Bausor, Liam Roche

Defensive Publications Series

Some information retrieval systems may provide fragmented or surface-level answers for complex queries that can benefit from reasoning beyond simple keyword matching. This describes systems and methods for a multi-phase knowledge processing pipeline. The pipeline can operate in discrete stages: a strategy phase may deconstruct a user’s query to generate a research plan, a research phase may gather and synthesize source-grounded evidence into a structured dossier, and a consolidation phase can compose a final narrative answer from the dossier’s contents. This modular architecture can separate query planning, evidence gathering, and presentation. The process can transform a complex user need into …

Generative Ai Synthesis Of Automated Interactions Into A Structured Agent Briefing, Deep Raithatha, Tanmay Kayande

Defensive Publications Series

Systems for escalating interactions from automated agents to human agents can create inefficiencies, for example, by transferring unstructured transcripts. An intermediary system can employ a generative artificial intelligence synthesis engine to process the context of an automated interaction upon an escalation trigger. The engine may analyze the dialogue transcript, user metadata, and the automated agent's internal state to perform semantic abstraction, diagnose potential failure points, and infer a possible resolution. The system can then generate a structured briefing for the human agent, which could include a concise summary, a failure diagnosis, or a recommended next action presented as an interactive …

Caldwell Outbreak‑Resilience Engineering System (Cores V1.0) Unified Builder‑Ready Architecture For Isolation, Air‑Handling, Waste‑Neutralization, Environmental Sensing, And Non‑Invasive Triage Support Cern‑Ohl‑P V2.0, Michael Victor Caldwell Mr.

Defensive Publications Series

CORES v1.0 is an open‑hardware, engineering‑only outbreak‑resilience system designed for rapid construction, testing, and field evaluation. It integrates: a hardened isolation micro‑habitat with pressure‑cascade air handling; a vortex‑induction air curtain; a multi‑stage filtration and decontamination stack; a sealed waste‑neutralization pathway; a distributed aerosol‑sentinel mesh; and a non‑invasive triage‑support module. All modules are physics‑based, non‑biological, and safe for engineering research. No biological manipulation, culturing, or pathogen‑handling instructions are included. All components use standard materials and fabrication methods accessible to typical engineering labs. This document includes: full build descriptions, text‑only schematics, blueprint‑style geometry, test procedures, failure‑mode analysis, and projected engineering performance.

Caldwell Multi‑Domain Resonance Sphere (Cmrs‑1) Open‑Hardware, Builder‑Ready, Multi‑Physics Engineering Core, Michael Victor Caldwell Mr.

Defensive Publications Series

The CMRS‑1 Sphere is a universal, multi‑domain physics engine integrating vortex induction, acoustic resonance, thermal equalization, structural load distribution, and energy harvesting into a single geometry. It consists of a spherical shell, a gyroid‑lattice interior, six helical intake channels, a central resonance cavity, three orthogonal acoustic chambers, and a thermal equalization layer. This disclosure provides complete geometry, build instructions, test procedures, failure‑mode analysis, and integration pathways. No biological, medical, or clinical instructions are included. All components are safe, mechanical, and fabricable using standard engineering tools.

Distributed Event Queue Processing With Adaptive Coordination And Transactional Delivery, Vishnu Kumar, Appu Thampi, Mahendra Yadav, Tulika Vijay

Defensive Publications Series

A method (300) for distributed event queue processing includes receiving events via an application programming interface (208) and storing the events in a partitioned database queue backed by a relational database. The method includes periodically discovering queues with pending events using a query that performs atomic detection of queue enumeration and pending event status without cache-based timestamp tracking. Queue partitions are assigned to readers using epoch-based coordination and leader election. The method includes processing queues using a shared thread pool with circulating reader tasks and adaptive backoff. Events are atomically fetched and marked as consumed using epoch-fenced queries that validate …

Solid State Forms And Pharmaceutical Compositions Of An Orexin Receptor Agonist, Prashanth Venukathala, Venukathala Prashanth

Defensive Publications Series

The present invention relates to novel solid-state forms of Oveporexton (N-[(2S,3R)-2-[[3-(3,5-difluorophenyl)-2-fluorophenyl]methyl]-4,4-difluoro-1-(2-hydroxy-2-methylpropanoyl)pyrrolidin-3-yl]ethanesulfonamide). Specifically, this invention covers detailed manufacturing procedures and physical criteria for crystalline Form A, crystalline Form B, pure amorphous forms, organic solvates, and stable amorphous solid dispersions (ASDs) of Oveporexton, methods for their preparation, and their use in pharmaceutical compositions to treat hypersomnia disorders and narcolepsy.

Caldwell Survival Capsule Dome (Csc‑1): A Self‑Powered Nasa‑Grade Micro‑Habitat With Integrated Sleep System, Multi‑Modal Harvesting, And Find‑Me Emergency Signaling, Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell Survival Capsule Dome (CSC‑1) is not a tent. It is a self‑powered, narrow NASA‑style micro‑habitat engineered for extreme survival conditions. Unlike conventional shelters, CSC‑1 integrates:

• a built‑in insulated sleeping cocoon,

• a curved sewn‑in solar crown,

• a multi‑modal environmental energy harvesting stack (solar, wind, rain, motion, tension),

• a curved EM‑harvesting spine,

• a Spider‑Web terminal lattice floor,

• an Arachne‑derived AWPM skin,

• Human‑Motion Webbing (HMW),

• an Adaptive Power Routing (APR) Engine,

• onboard battery storage,

• and a FIND‑ME emergency beacon system.

CSC‑1 deploys in under one minute, provides immediate thermal protection, generates and stores its own power, and maintains emergency signaling without …

Aidl — An Ai Directive Language And Multi-Agent Governance Model, Niels S. Goldstein

Defensive Publications Series

AIDL (AI Directive Language) is a compact, machine-readable language for expressing the rules that govern the behavior of one or more AI agents, together with a multi-agent governance model the language parameterizes. The system assigns agents operational roles; accumulates per-agent reputation from observed behavior; mutates roles as reputation crosses thresholds; resolves conflicts through reputation-weighted adjudication that discounts correlation between agents sharing a model provider; and enforces least-privilege, write-scoped execution with drift detection and mandatory audit logging — yielding a Zero Trust posture for AI agents in which authority is earned and continuously revocable.