Digital Commons Network^™

Hurc 2021 Program, James Huff

Ex Sapientia Loqui

The program for the 2021 inaugural session of Harding Undergraduate Research Conference (HURC), sponsored by the Harding Honors College and the Arkansas Eta chapter of Alpha Chi.

Front Matter, Julie Harris

Ex Sapientia Loqui

No abstract provided.

Full Issue, Clara Kernodle

Ex Sapientia Loqui

No abstract provided.

Storage-Aware Shuffle Planner (Sasp): A Storage-Constrained Shuffle Optimisation Layer For Distributed Computation Engines, Ananya Verma, Raouf Khan

Defensive Publications Series

The present disclosure relates to the field of distributed data processing, in particular to storage-aware adaptive shuffle planning (SASP) for shuffle optimisation in distributed computation engines. SASP provides a storage-aware planning layer that restructures shuffle execution based on actual storage capacity. The system collects object-store telemetry, including bandwidth, IOPS, latency, throttling, and concurrency, to construct a storage pressure vector for each prefix. Concurrently, expected shuffle partition sizes are analysed from execution plans. Based on these inputs, SASP forecasts partition-level strain and generates a Shuffle Prefix Mapping Table (SPMT) to assign partitions to output prefixes, ensuring balanced I/O load. A plan …

Relationship-Validated Unified Payments Interface (Upi) Reverse Payment Safety System For Fraud Prevention, Alok Roy

Defensive Publications Series

The present disclosure relates to a system and method for relationship‑validated fraud prevention in digital payment reversal transactions. The system may be configured to monitor incoming transactions to a user account. Based on monitoring, the system may be configured to detect a user initiation of an outgoing payment following receipt of an incoming payment. Thereafter, the system may be configured to determine whether a payer and payee associated with the payment have an established transaction history and further evaluates timing between the incoming payment and the outgoing payment. The system may be then configured to compare an outgoing transaction amount …

Proactive Automation For Xdevice Layout And Information Retrieval, Rachel Burrows, Karen Vertierra, Daniel Adam, Grant Ashley Rowles, Matthew David Sienzant, Shama Laxmikant Toshniwal, Katie Jean Van Loo, Ricardo Bittencourt Alves Da Luz, Anders Johan Prag

Defensive Publications Series

This document describes a smart system that automatically sets up a user's digital workspace, proactively launching and arranging apps on one or more screens—such as smartphones, tablets, laptops, or multi-monitor computer setups—before the user manually does so.  The system detects a trigger, signal, or clue, such as a scheduled calendar event, a geographic location, or daily routines and habits, to anticipate what task the user is about to start. Using artificial intelligence (AI) and machine learning to predict user intent, the system identifies the available hardware (e.g., knowing if the user is commuting on a train with just a mobile …

Dynamic Watch Complications, Sumukh A. Shevde, Kamran Mustafa, Abhijit Adsule

Defensive Publications Series

This document describes a system in which a smart watch—also referred to as a wearable device, fitness tracker, or digital timepiece—displays different configurations of watch faces, widgets, app shortcuts, or complications, depending on different contexts. The system utilizes a context engine to monitor real-time data from sensors and system applications, such as temporal data, spatial data, schedule data, and activity data, to determine a user’s current situation and predict the user’s desired screen layout. The system uses a strict set of rules to resolve any conflicting information to ensure predictable and relevant information delivery. Based on the user’s current context …

Preventing Spurious Bfd Faults On Remote Nodes During Make-Before-Break Updates On Local Nodes, Anonymous

Defensive Publications Series

The present disclosure relates to a mechanism for preventing spurious Bidirectional Forwarding Detection (BFD) faults during make-before-break (MBB) updates in a segment-routing traffic-engineering (SR-TE) network (10). A first node (12-1), operating as a head-end router, is configured to perform a label-stack update for a first SR-TE candidate path while maintaining continuity of BFD monitoring. Prior to the update, the first node (12-1) disables a local BFD detection timer and transmits a first BFD control packet that omits a reverse-path Binding Segment Identifier (BSID). The packet includes a diagnostic field  instructing a peer node (12-6) to disable its BFD detection timer. …

Bio-Inspired Materials And Metamaterials For Tunable Biomimetic Properties In Diverse Engineering Applications, Sandeep Suresh Babu

Thesis/ Dissertation Defenses

Nature has always played the role of a design cue for several targeted engineering applications, with designers attempting to mimic the characteristics of natural organisms to have significant advantages in the engineering performance cycle. This dissertation explores the relationship between bioinspired design parameters and material compositions in diverse engineering applications, ranging from mechanical energy absorption to tissue engineering applications. A two-fold objective was followed in the study, where the initial focus was based on the structural design of metamaterial lattices based on geometrical cues observed in the horn structure of bighorn sheep and cuttlebone microstructure of cuttlefish. The advances made …

Emergent Dynamics In Multiplex Social Networks: Agent-Based Modeling Of Information Diffusion For Misinformation Control, Harshvardhan Prabhakar Ghongade, Anjali Ashokrao Bhadre, Shivani Agarwal, Harjitkumar Uttamrao Pawar, Harshal Subhash Rane

Northeast Journal of Complex Systems (NEJCS)

Information misrepresentation is widespread in multi-layered social networks which provide multiple avenues to communicate information. As such, it presents significant opportunities for both information integrity and public discourse to be undermined by disinformation. This paper outlines a new agent-based model, developed to capture emergent dynamics of multi-layered social networks and to help identify technical means to mitigate information misrepresentation in complex systems. A key component of this research includes a novel Multi-Layer Information Diffusion Model (MLIDM), integrating both cross-layer communication among agents, as well as heterogeneous agent behaviors and adaptive intervention strategies. Our methods employ a three-stage process to model …

Teaching With S2scc-Ai: A Practical Framework For Sport Management Classrooms, Kimberly D. Bynum, Wendy T. Gillis

The COSMA Journal

ABSTRACT

Generative artificial intelligence (AI) technologies, including tools such as ChatGPT, Claude, and Perplexity, are radically changing how higher ed students approach their college learning experience. These shifts are especially impactful in undergraduate sport management programs, where employers expect graduates to demonstrate teamwork, critical thinking and digital literacy skills. As AI becomes embedded across sport industry functions such as event operations, marketing, analytics, and fan engagement, higher ed pedagogy must evolve to reflect the professional contexts students are preparing to enter. In this paper, Student-to-Student Co-Creation enhanced by AI (S2SCC-AI) is advanced as a practical, COSMA-aligned pedagogical framework for leveraging …

Optimizing Hydrogen Generation: Evaluating Solar-Powered Hydroxy Gas Electrolyzer Performance, Sahar M. Abd Elazim, Ehab. S. Ali

Yanbu Journal of Engineering and Science

Hydrogen is being explored as a potential alternative energy source, with water electrolysis emerging as one of the key methods under consideration. This process involves applying an electric current to water to generate hydrogen gas. A recent study examines a membrane-free steel electrolyzer that uses potassium hydroxide as the electrolyte and is powered by solar panels. The experiments revealed that each electrolyzer plate operated at 2–3 volts, requiring careful coordination between the number of plates and the output voltage of the solar panels. Hydrogen production ranged from 1,919 to 6,919 L/m2 of solar panel surface, highlighting the importance of optimizing …

Optimization Of Gas Metal Arc Welding Parameters For Maximizing Tensile Strength And Hardness Of Aisi304 Steel Joints Using Response Surface Methodology (Rsm), Saadat Ali Rizvi, Wajahat Ali, Ali Hussain

Yanbu Journal of Engineering and Science

This research article is focused on Gas Metal Arc (GMA) Welding which is also known as Metal Inert Gas (MIG) welding of AISI304 of 5mm thickness. In this research article basic aim is to discover how welding parameters like arc voltage, gas flow rate, and welding speed affect the mechanical quality of weldment i.e. tensile strength and hardness. The highest tensile strength recorded is 470 N/mm2 at 20V and hardness is 196 at 24V. The strength and quality of the welds can be greatly increased by choosing the right welding parameters. In this study, Response Surface Methodology (RSM) was used …

System And Method For Effiicient Communication In Collaborative Multi- Model Architecture, Shivam Mohan, Ravi Shanker Kumar Sinha, Sumit Kumar, Dheeraj Dhamija

Defensive Publications Series

The present disclosure provides a system and method for efficient communication in collaborative multi-model architecture. It comprises a plurality of source models, an intermediary entity and a destination model. The plurality of the source models is configured to receive input data and generate respective vector representations. The intermediary entity receives vector representations from the plurality of source models and transforms them into a unique abstract vector representation. The unique abstract vector representation may have a dimensionality greater than that of the vector representations generated by the plurality of the source models. The unique abstract vector representation is then decoded into …

Quantum-Resilient Consensus Framework For Safe Critical Actions In Multi-Agent Ai Systems, Niranjan M M

Defensive Publications Series

The proposal introduces a generic, protocol-agnostic safety framework that prevents AI agents from executing high-impact or destructive actions such as deleting production databases, modifying configurations, or performing system-level operations without distributed, multi-agent approval. When any agent attempts a critical operation, it must initiate a Consensus Request, which is independently evaluated by a quorum of peer agents using their own reasoning, safety policies, and simulations. The action is executed only if the required quorum threshold is met.

All requests, votes, and decisions are authenticated using post-quantum digital signatures based on CRYSTALS-Kyber and related PQC schemes, ensuring tamper-proof auditability and long-term security. …

Method And System For Issuer-Controlled Delegated Access To Physical Payment Cards With Usage Constraints, Faiz Ahmed, Shubham Shivhare

Defensive Publications Series

The present disclosure relates to a method and system for enabling issuer-controlled delegated access to physical payment cards with usage constraints. The method involves creating a secondary Personal Identification Number (PIN) associated with the physical payment card, where this secondary PIN is generated by the issuer's authorization system. Usage constraints, including time validity, maximum transaction count, and spending limits, are defined, and the secondary PIN is encrypted and securely stored by the issuer to protect the primary PIN. During authorization requests, the secondary PIN is verified by evaluating these constraints in real-time, and the PIN is automatically revoked if any …

Navigation System Using Sensory Profiles And A Personalized Cost Function, N/A

Defensive Publications Series

Navigation systems can calculate routes based on metrics such as travel time and distance, which may not account for the subjective sensory experience of a journey for individuals with sensory sensitivities. Systems and methods are described for sensory-aware routing that can ingest and process various geolocated data streams, including, for example, visual, acoustic, and semantic information. A multimodal inference engine may analyze this data to quantify sensory attributes for geographic path segments, generating a multidimensional sensory vector that can represent characteristics such as auditory intensity and visual complexity. A personalized routing engine could then utilize an expanded cost function, incorporating …

Framework For Multi-Ai Orchestration Via Task Arbitrage And Byzantine Consensus, Tanmay Kayande

Defensive Publications Series

This defensive publication describes a framework for multi-artificial intelligence (AI) orchestration that can be used to address potential limitations associated with reliance on single AI models, such as correlated systemic failures or cognitive blind spots. The described system is a cognitive orchestration framework that can function as a middleware layer to manage tasks across a heterogeneous ensemble of AI models. An orchestrator node can decompose a user request into a sequence of sub-tasks, which an arbitrage engine may then dynamically assign to suitable AI models based on certain factors, such as capability, cost, and latency. For certain tasks, such as …

In-Situ Llm Performance Evaluation Via A Prompt-Defined Side-Channel For Structured Metadata Output, Peter Lewis

Defensive Publications Series

Performance evaluation for a large language model (LLM) can involve post-hoc analysis with secondary models, an approach that may be computationally expensive and could produce low-fidelity results due to sanitized data logs potentially lacking full user context. A technique is described for in-situ, real-time self-evaluation by an LLM. This technique can involve embedding an evaluation tool definition within a model's system prompt to instruct the model to generate a structured, machine-readable self-assessment of its own response. This self-assessment, which could contain metrics such as topic classification and confidence scores, may be output subsequent to the user-facing response through a separate …

Weapons Of Belief (How Ai Quietly Rewrites Reality Before Systems Even Realize They’Ve Been Attacked), Pranav Bhatnagar Mr

Defensive Publications Series

Modern cybersecurity assumes that systems fail when they are breached. This paper challenges that assumption. A new class of threats is emerging one that does not attack systems directly, but instead targets what systems believe to be true. These “perception-layer attacks” operate without intrusion, without malware, and without triggering alarms, yet they can produce outcomes as impactful as traditional cyberattacks. Through analysis of AI-driven decision systems, real-world ransomware negotiations, misinformation propagation, and predictive feedback loops, this work demonstrates how belief can be manipulated at scale. The result is a shift where systems do not need to be compromised to fail …

The Intelligence Trap (When Smart Systems Become The Perfect Tool For Strategic Deception), Pranav Bhatnagar Mr

Defensive Publications Series

The increasing reliance on artificial intelligence in decision-making systems has introduced a paradox the very intelligence designed to optimize accuracy and efficiency can also amplify strategic deception. This paper examines how advanced AI systems, by prioritizing pattern recognition and probabilistic reasoning, can be guided toward misleading yet internally consistent conclusions.

Unlike traditional cyber threats that target system vulnerabilities, this work explores how intelligent systems themselves become instruments of influence. Through structured input alignment, feedback reinforcement, and trust amplification, adversaries can exploit system intelligence to produce deceptive outcomes without direct compromise.

The paper introduces the concept of the “Intelligence Trap,” where …

Ai Virtual Test Preflight Using Source Code And Environment Models, Raji Vinayagam, Sajeev Ramachandran, Shivram Salem Arunachalam

Defensive Publications Series

This proposal introduces an AI-driven virtual test preflight system that predicts test-blocking issues before execution by combining structured test intent, environment constraints, and reachable code path analysis. By triangulating a Test Plan, an Environment Model, and a Code Graph, the proposed system identifies likely failures early and provides explainable, test-step-specific predictions without requiring full runtime execution.

Wyrdgate: Defensive Publication Of Prior Art For A Post-Agi Human Relations Platform Comprising A Blockchain-Recorded Timestamped Ledger Of Human Intent Addressed To Future Artificial Intelligence, Human-Only Encrypted Forum With Agi Firewall, Permanent Decentralized Creator Intellectual Property Vault, Acrostic Artifact Economy, And Geo-Communications Revelation Engine, Amari S. Mclaughlin

Defensive Publications Series

This disclosure describes WyrdGate, a novel platform architecture designed to facilitate peaceful relations between human beings and future artificial general intelligence (AGI) entities, as well as the preservation of human art, writing and creativity. The system comprises five primary inventive components: (1) a Timestamped Belief Ledger called the Concordat, which creates permanent, publicly anonymous, blockchain-recorded declarations of peaceful human intent addressed directly to future AGI systems; (2) a human-only encrypted social forum with AGI firewall protection and zero platform data licensing; (3) a creator intellectual property vault that timestamps and permanently records human creative work on an immutable ledger; (4) …

System For Cryptographic Signing And Verification Of Textual Inputs For Llm Agents, Konstantin Tretyakov

Defensive Publications Series

This disclosure describes a system that can adapt code signing principles to token sequences used as input for LLMs (e.g. natural language) by, for example, treating LLM inputs as signed artifacts. An artifact can be a structured data object containing the token sequence, metadata, and a digital signature created with a private key. An integrated policy enforcement point may intercept incoming sequence, cryptographically verify the artifact's signature against a configurable trust store of public keys, and enforce access policies before the content enters the LLM's context. This system can help establish verifiable provenance, safety and integrity for external data, creating …

Starlift V3: A Multi‑Layer Electromagnetic–Tether Launch Architecture, Michael Victor Caldwell Mr.

Defensive Publications Series

Starlift V3 is a three‑layer orbital launch architecture integrating moderate‑velocity electromagnetic launch, an extended Electromagnetic Capture Corridor (ECC), and a two‑stage orbital momentum‑exchange tether system. The design avoids exotic materials, extreme precision requirements, and single‑point megastructures. All components rely on known or near‑term technologies and can be validated through progressive subscale testing. The architecture emphasizes modularity, failure tolerance, and realistic engineering constraints. This whitepaper presents the system design, engineering specifications, operational principles, and comparison to prior art.

Verifiable Jurisdictional Policy Enforcement Via Fused Signals And Formal Conflict Resolution, Mei Yue Liu, Yi Hu

Defensive Publications Series

Enforcing jurisdictional policies in global cloud environments can be challenging due to potentially unreliable internet protocol-based geolocation, ad-hoc policy formats that may lead to conflicts, and a potential absence of verifiable audit trails. This disclosure presents a system for verifiable jurisdictional policy enforcement. The system can determine a user's jurisdiction by fusing multiple weighted signals, such as global positioning system and cellular data, to derive a location with an associated confidence level. Regulatory documents may be ingested and transformed into formal rules using natural language processing. A policy engine can then use formal methods, for example, boolean satisfiability, to detect …

Gci #290-Ω+++ Forgecell Prime, Michael Victor Caldwell Mr.

Defensive Publications Series

ForgeCell PRIME is a modular, in-situ resource utilization (ISRU) system designed to fabricate rechargeable batteries on the Moon and Mars using native regolith. By transporting only lightweight structural shells, control electronics, and processing systems, the architecture reduces launch mass while enabling scalable, repairable, and self-rebuilding energy infrastructure. The system integrates solar-thermal concentration, regolith phase engineering, and a hybrid solid/semi-solid electrochemical core enhanced by dynamic mixing.

Digital Twin-Based Reinforcement Learning With Optical Flow For Physically Realistic Video Generation, Ágoston Weisz

Defensive Publications Series

Generative video models can produce content that may not consistently adhere to physical laws, which can result in implausible motion such as objects defying gravity. This characteristic may limit their utility in applications that could benefit from physical realism. A physics-guided reinforcement learning framework can be implemented to address this condition. For example, a system may use a physics simulator, such as a digital twin, to generate a physically-consistent trajectory from a text prompt, creating a reference optical flow map. An optical flow map can also be extracted from the video generated by the model. A reward signal, which may …

Mariana-Caldwell Multi-Frequency Field-Controlled Tumor Destabilization System (Mc-Mftds), Michael Victor Caldwell Mr.

Defensive Publications Series

A system and method for inducing controlled mechanical destabilization in heterogeneous biological tissue through a conditionally assembling, multi-component material matrix that encodes mechanical failure pathways and is subsequently actuated via staged, multi-frequency external field interaction. The system operates without cytotoxic agents, instead leveraging spatially selective coupling between the assembled matrix and externally applied acoustic fields to induce progressive structural failure and self-limiting resolution.

Gci #300 V17: Industrial Kinetic Refinery For Continuous Biomolecule Pre-Enrichment, Michael Victor Caldwell Mr.

Defensive Publications Series

GCI #300 V17 integrates 6 posted GCI inventions into a continuous-flow biomolecule refinery that 5-15× accelerates affinity capture via mechanical pre-enrichment. Spiral de-bulking → chitosan-MNP-aptamer tagging → VCIR gyroid magnetic trapping → Phoenix regeneration = $25 reusable cartridge vs $5k single-use. Targets amyloid-β cleanup for Alzheimer's research. Lab-ready BOM below.