Digital Commons Network^™

Decoupled Agent Architecture For Function-Based Remote Device Automation, Qingfei Tian

Defensive Publications Series

Orchestrating specific, function-level actions across heterogeneous fleets of electronic devices, such as smartphones, wearable devices, or smart home appliances, can present challenges, as methods like user interface scripting may be less reliable and placing complex logic on resource-constrained devices can be impractical. A system using a decoupled agent architecture may address these challenges. A remote agent, operating in a resource-rich environment such as a cloud server, can interpret high-level goals and translate them into a sequence of structured, function-based commands. A lightweight on-device agent may receive these commands via a communication relay and execute them programmatically using local device application …

When “No Referral” Does Not Mean “No Need”: Rethinking Mtss, Benchmark Data, And Early Literacy Support, Tevia Q. Strand

Essays in Education

This article examines what one school’s literacy data suggest about MTSS referral practices, benchmark interpretation, and early literacy support. Drawing on a local analysis of current third-grade students, the article reflects on a significant difference in Grade 3 reading outcomes between students who were referred to MTSS and those who were not referred for Tier 2 or Tier 3 support. At the same time, both groups demonstrated average reading performance below the Grade 3 40th-percentile benchmark, suggesting that literacy concerns extended beyond the students formally identified for intervention. Rather than presenting the study as a traditional research report, this essay …

Low Bandwidth Full-Duplex Multimodal Llm Interaction With Contextual Interruption, Longlong Zhu, Weiyue Huang

Defensive Publications Series

Multimodal LLMs implemented on a server can support remote user interaction over a network but require continuous real-time streaming of raw, uncompressed video and/or audio. This can be infeasible due to bandwidth constraints or other reasons, and can prevent real-time feedback in time-sensitive interactive settings. This disclosure describes an asymmetric edge and cloud collaborative architecture that can enable full-duplex and seamlessly interruptible multimodal LLM orchestration at low latency. The architecture decouples sensor processing tasks from cognitive reasoning tasks involved in interaction between a user and a multimodal LLM via modalities such as audio, video, or image. Computationally heavy processing of …

Dynamic Provisioning And Authentication Of Ai Agent Skills And Mcp Endpoints Via Mobile Device Entitlement Configuration Architecture, Aguibou Barry, Jean-Philippe Cormier

Defensive Publications Series

Mobile operating systems and applications running on mobile terminals may rely on local autonomous AI-driven engines. These AI engines often require access to edge AI capabilities such as external context feeds or computing resources to execute high-complexity queries from a user/application. Existing architectures cannot support provisioning such dynamic AI capabilities in cellular networks. Techniques for provisioning and authenticating AI agent skills and Model Context Protocol (MCP) endpoints are described herein. The techniques extend the GSMA TS.43 Entitlement Configuration Architecture into an AI-native Capability Entitlement framework, which enables mobile terminals to dynamically discover, authenticate and provision MCP servers and network skill …

Adaptive Semantic Memory Paging, Shubham Shivhare, Faiz Ahmed

Defensive Publications Series

The present disclosure provides a method (300) for adaptive semantic memory paging in artificial intelligence (AI) workloads. The method (300) includes receiving an AI workload comprising a plurality of memory pages, monitoring semantic execution signals associated with the AI workload, computing semantic relevance scores for the memory pages based on the semantic execution signals, and prioritizing the memory pages according to the semantic relevance scores. The method (300) further includes determining memory-tier assignments for the memory pages, placing higher-priority memory pages in higher-performance memory tiers, identifying lower-priority memory pages for migration or eviction, detecting memory pressure and changes in model …

Representation Of Processor Traces For Machine Learning Models, Sai Akhil Suggu, Anurag Adarsh, Somya Gupta, Zimuzo Ezeozue, Dwipal Desai

Defensive Publications Series

System performance trace data may be represented as a vector to allow the trace data to be efficiently processed by a machine learning model. First, the trace data is preprocessed to generate a hierarchical topology tree that maps software events to specific threads, processes, and processors. Next, an event-driven mechanism generates tokens when a system state change occurs, collapsing idle periods into a single duration attribute to achieve lossless compression and reduce overall sequence length. Each token is then converted into a concatenated input vector that aligns discrete software events and continuous hardware metrics onto a single temporal axis. Finally, …

Distributed Vertical Power Module Building Blocks For Interleaved Power Delivery To Three-Dimensional Stacked Chiplets, N/A

Defensive Publications Series

A vertical power (VPWR) module architecture delivers electrical power to three-dimensional stacked semiconductor chiplets (such as TPU, GPU, xPU) packages using distributed sub-phase building blocks. The architecture divides the phases of a multi-phase power stage, and the voltage outputs those phases feed, into two or more independent power rails, so that a four-phase stage yields two, three, or four independent voltage outputs. These sub-phase units physically map onto interleaved power rails across a ball grid array (BGA) footprint of the semiconductor packages. Positioning the sub-phase units directly beneath corresponding power rail contact locations shortens current travel paths through printed circuit …

Structural Action-Gating For Autonomous Ai Agent Handoffs: Admitting A Receiving Agent's Actions Only Upon A Conformance Verdict Against A Mutually Committed Plan Artifact, Jan Haasch, Sebastian Jeuk, Katrin Simon

Defensive Publications Series

A handoff-conformance attestation service is proposed herein that operates between two autonomous artificial intelligence (AI) agents and, before a receiving agent acts, determines whether a handoff conforms to their shared plan by being complete, consistent, and in-scope. The determination is independent of the originating agent's trust standing and is cryptographically bound to the receiving agent's action authority, so a nonconformant handoff cannot unlock autonomous action.

Pre-Execution Dollar-Cost Query Router With Policy-Gated Cross-Engine Execution, Pravesh Kumar

Defensive Publications Series

The present disclosure relates to a method and a system for routing a structured query across a plurality of heterogeneous query execution engines. The present disclosure suggests receiving a query execution request including a structured query and parsing the query to generate a canonical representation of the query. The present disclosure also suggests determining an estimated execution cost based on at least scan characteristics associated with the query and a runtime estimation associated with execution of the query. Thereafter, the present disclosure suggests determining a policy compliance condition for each of the plurality of heterogeneous query execution engines based on …

Ai Agent Watermarking, Raul Casas, Mihailo Kolundzija, Keith Griffin, Samer Hijazi

Defensive Publications Series

Artificial intelligence (AI) agents are used in a variety of call center or customer service environments.  Many times, a human caller may not be aware that they are speaking with an AI agent, which such callers may perceive as deceptive, manipulative, and/or nonconsensual.  Proposed herein are techniques for disclosing the identity of AI virtual agents that are being used during phone calls with humans. The techniques may help to reduce misuse of AI virtual agent products provided by an enterprise, thereby helping to maintain the enterprise's image as a trusted brand and setting an example to follow in the industry.

“Don’T Tell Me To Keep Doing What I’M Doing, When I’M Risking My Life Trying To Get You To Do Your Job”: Thoughts On The Politics Of Distance, Alice Chapman

Emancipations: A Journal of Critical Social Analysis

No abstract provided.

Eviscerating The State: An Update, Jean L. Cohen

Emancipations: A Journal of Critical Social Analysis

A year after the publication of her article “Eviscerating the State: The New Oligarchic and Authoritarian Project to Undermine American Constitutional Democracy (Emancipations, Vol.4: Iss.2, July 2025) Jean Cohen looks again at the threats to American constitutional democracy posed by new oligarchic and authoritarian actors in the economy, the state, and society.

From Monopoly To Orchestration: The Hilltop And Farm Youth And The Changing Organization Of State Coercion - The Israeli Case, Idan Yaron

Emancipations: A Journal of Critical Social Analysis

Drawing on more than a decade of ethnographic fieldwork – as a social anthropologist, studying the Far Right in Israel, on the ground, and through intimate and prolonged relationships with opinion leaders and rank-and-file activists – this essay examines the Hilltop and Farm Youth in the West Bank to reconsider Charles Tilly's influential account of state formation and the organization of coercion. It asks a simple but troubling question: why would a powerful modern state, fully capable of suppressing autonomous violent actors, sometimes allow them to persist? I argue that Tilly's theory should be confirmed, adapted, and amended. His fundamental …

System And Method For Temporally-Correct Point-In-Time Embedding Reconstruction From Append-Only Accumulator Delta Logs, Durga S. Kala, Xinrong Huang, Nishanth Telukunta, Sreekanth Kanichetty

Defensive Publications Series

A system (200) for point-in-time reconstruction of time-decayed behavioral embedding accumulator states for payment entities includes an append-only accumulator delta log (202) that records, for each accumulator update event, an entity identifier, an exact authorization timestamp, a D-dimensional embedding delta, a pre-computed exponential decay factor, and the resulting accumulator weight. A checkpoint store (204) periodically snapshots the accumulator state including a decayed sum, a total weight, and a timestamp for each entity. A reconstruction engine (206) reads the latest checkpoint prior to a query timestamp, replays all delta log entries for the entity with timestamp strictly less than the query …

Decoupled Pricing And Fulfillment Arbitrator For Multi-Destination Agentic Commerce Systems, Richa Gupta

Defensive Publications Series

A decoupled pricing and fulfillment arbitrator extends the Universal Commerce Protocol (UCP) to maintain volume-based discounts for e-commerce orders shipped to multiple destinations. The system operates through a two-phase cryptographic handshake, where the arbitrator first validates the total item quantity in a cart to secure a global price lock from a merchant’s application programming interface (API). The arbitrator then atomizes the single order into multiple, concurrent fulfillment requests, one for each distinct shipping address. By embedding a cryptographic bulk token into each parallel request, the arbitrator instructs the merchant’s system to bypass standard single-destination validation rules and apply the pre-approved …

Cpeven‑Ω2.0 Caldwell Planetary Environmental Verification & Early‑Warning Network, Michael Victor Caldwell Mr.

Defensive Publications Series

CPEVEN‑Ω2.0 is a fully open, modular, multi‑physics environmental measurement and verification architecture designed for global deployment. It integrates reference‑grade sensors, distributed open nodes, multi‑physics correlation, artifact detection, uncertainty‑aware fusion, satellite/model comparison, source attribution, and experimental technology validation into one unified system.

CPEVEN‑Ω2.0 is not a sensor.

It is not a weather station.

It is not a model.

It is not a prediction engine.

It is a planetary environmental verification network that preserves raw measurements, validates experimental technologies, correlates multi‑domain signals, and produces reproducible environmental intelligence.

Every module is open hardware.

Every interface is documented.

Every measurement is traceable.

Every experimental …

Explainable Ai-Governed Namespace Capability Risk Brokerage With Kernel-Enforced Operation Leases, Bharat Kumar Putta

Defensive Publications Series

A security architecture is proposed herein for controlling privileged actions by artificial intelligence (AI) agents and automated workloads across operating-system, container, cluster, and tenant namespaces. The architecture evaluates cumulative capability risk and issues narrowly scoped, short-lived operation leases. Each lease is cryptographically bound to the requesting workload, target object, operation arguments, namespace context, policy version, and a human-auditable explanation, and is verified by the operating-system kernel at the moment of execution. By replacing broad standing privileges and application-layer allow decisions with explainable, context-sensitive least privilege, the architecture reduces the time-of-check-to-time-of-use gap, supports immediate invalidation when relevant context changes, and creates …

Method And System For Consumer-Specific Attribute Filtering In Distributed Message Brokers, Soumendra Kumar Mishra, Mansi Singh, Ravi Shanker Kumar Sinha, Amitabh Ranjan, Katyayani Kiranmayee Kolluru, Sumit Kumar

Defensive Publications Series

A system for consumer-specific attribute filtering in a distributed message broker environment is provided. The system includes an attribute subscription registry configured to store a consumer identifier, a topic identifier, and a list of permitted attribute paths for each consumer. The system includes a producer interface configured to publish a canonical message payload containing a plurality of attributes to a message broker, compute an Attribute Location Index during serialization that maps each attribute name to byte offset boundaries within a serialized message body, and attach the Attribute Location Index as a message header. The system includes the message broker configured …

Rule Based Pre-Execution Validation Of Financial Transactions With Generative Anomaly Explanations, Shalini Jha, Farhan Rawani, Bhaskar Mangalampalli, Alba Campus, Sanhitha Seerapu, Millie Martin, Arib Shan, Tilottama Basu, Amogh Badugu, Sai Krishna, Ramya Karyampudi

Defensive Publications Series

Financial transaction processing systems, for example in payroll, can face challenges where validation is reactive, leading to the late discovery of complex discrepancies after payments are executed. A system and method are described for pre-execution validation of financial transactions. The system can function as a validation layer that applies business rules to batches of transaction data using techniques such as set-based processing. This approach can identify potential anomalies across large datasets before execution. For detected anomalies, a generative model can produce a human-readable explanation detailing a potential rule violation and the associated data. This pre-execution identification and contextualization of potential …

Portrait: Holistic Data Visualization Using Neural Networks, Chayan Maitra

Doctoral Theses

With the exponential growth of complex data across domains, effective visualization has become increasingly crucial for understanding relationships hidden within high-dimensional spaces. However, existing visualization techniques often struggle to effectively capture and represent such high-dimensional data. Motivated by this challenge, we have developed NeuroDAVIS, a neural network model designed to visualize high-dimensional data by extracting meaningful latent representations through deep feature extraction. While NeuroDAVIS has successfully addressed the visualization aspect, we have soon recognized the necessity of identifying the most relevant features that contribute to the visualization and downstream analysis. To address this issue, we have extended our framework and …

Fall 2026 Environmental Sciences Seminar Series, Jingyan Huang, Jingyan Huang

NRESS Seminars

This seminar presents a game-based social simulation of emergency response to water contamination, in which large language model (LLM) agents represent stakeholders with diverse roles, information, incentives, and constraints.

Through unfolding crisis scenario, the simulation explores how communication, coordination, and decision making shape collective outcomes under uncertainty. In this seminar, I will discuss the game’s design, the use of LLMs to model social interaction, and opportunities and limitations for research, training, and practical policy experimentation.

Teaching Individuals With Autism To Mand For Choice-Making Opportunities, Sarah T. Kong

Doctoral Dissertations - College of Arts and Sciences

The integration of choice-making opportunities into behavior analytic treatment has produced improvements in the lives of individuals with autism. Although researchers have focused on improving staff presentation of choice-making opportunities (Van der Meer et al., 2017), this approach places choice-making under the stimulus control of staff initiations and may result in missed opportunities for the child to make choices when it is most valuable to them. We evaluated the effectiveness of a mand training procedure to teach individuals with autism to request choice-making opportunities. Single trials were interspersed into participants’ typical treatment programming and contexts were designed to establish the …

Challenges, Trends, And The Role Of Lstm In Ai-Based Predictive Maintenance Of Electrolyzers For Solar Hydrogen Systems: A Review, Yani Koerniawan Kuatno, Muhamad Zahim Sujod

Turkish Journal of Electrical Engineering and Computer Sciences

The transition toward low-carbon energy systems has increased interest in hydrogen as a clean energy carrier, with solar-driven water electrolysis emerging as a promising technology due to its high efficiency and compatibility with renewable energy sources. However, dynamic operating conditions and intermittent renewable input accelerate electrolyzer degradation, reducing reliability and system lifespan. Predictive maintenance (PdM), supported by artificial intelligence (AI), offers a data-driven approach to anticipate failures and improve operational durability. This review systematically investigates AI-based PdM approaches for electrolyzers, with an emphasis on long short-term memory (LSTM) networks and Internet of things (IoT) integration. Following PRISMA 2020 guidelines, 35 …

Cuip-X25: A Real-World Network Intrusion Dataset For Next-Generation Ai-Driven Security, Arshad Iqbal, Sohail Asghar

Turkish Journal of Electrical Engineering and Computer Sciences

The efficacy of artificial intelligence (AI) in intrusion detection systems (IDS) is critically dependent on high-fidelity training data. However, as detailed in the manuscript's literature review, existing benchmark datasets are predominantly synthetic, outdated, or imbalanced and fail to capture the complexity of the contemporary threat landscape. To bridge this gap, this study introduces CUIP-X25, a novel real-world cyber-attack dataset captured over a four-month period using a dionaea honeypot deployed on a public network. Unlike synthetic alternatives, this dataset provides an authentic representation of modern adversarial tactics, techniques, and procedures, encompassing 3.16 million real events across ten distinct attack categories, including …

Robust Load Frequency Control For Multiarea Electrical Power Systems Via Analytical Proportional-Integral-Derivative Plus Second Order Derivative Controller Design, Yavuz Güler, Mustafa Nalbantoğlu, Ibrahim Kaya

Turkish Journal of Electrical Engineering and Computer Sciences

This research presents a proportional-integral-derivative plus second order derivative (PIDD2) controller design based on the Direct Synthesis Method (DSM) for load frequency control (LFC) of interconnected power systems. The parameters of the proposed PIDD2 controller are determined using the DSM, which offers an analytical approach for tuning. The design approaches have been developed specifically for single, two, and three-area power systems, encompassing nonreheated and reheated thermal turbines. In the proposed design method, the best values of PIDD2 controller parameters were found by using a multicriteria objective function that includes the integral of absolute error (IAE) and settling time. In response …

Standardizing Tracheostomy And Laryngectomy Terminology For Patient Safety: Global Outlook, Naomi Nancy Simon Walter, Michael J. Brenner, Vinciya Pandian

International Nursing Research Congress (INRC)

Background: Patients who breathe “through the neck only” following tracheostomy or total laryngectomy cannot be ventilated through the mouth or nose. Misunderstanding or misuse of airway terminology can lead to catastrophic management errors, including hypoxia, brain injury, or death. Despite growing awareness, no standardized, patient-centered nomenclature exists for describing airway anatomy in these populations.

Purpose: To clarify and standardize terminology describing tracheostomy and laryngectomy airway anatomy by conducting a global mixed methods survey of healthcare professionals (HCPs), patients, families, and caregivers (PFCs), promoting accuracy, safety, and patient-centeredness in communication.

Methods: A multidisciplinary team developed and iteratively refined a survey instrument …

Empowering Edge Intelligence Through Reparameterized Lightweight Transformers And Distributed Inference, Hosein Esmaeili, Mohammad Ali Afshar Kazemi, Reza Radfar, Nazanin Pilevari

Turkish Journal of Electrical Engineering and Computer Sciences

Deploying advanced transformer-based models on resource-constrained edge devices remains a significant challenge due to their high memory footprint and substantial compute requirements. In this paper, we propose a reparameterized transformer framework that integrates High-Rank Factorization (HRF) during training, layer merging at inference, and dynamic, load-balanced distributed inference across multiple devices. To further reduce resource usage, our framework supports mixed-precision quantization down to 4-bit, enabling flexible accuracy–latency–energy trade-offs. Experimental evaluations on the ESC-50 environmental sound dataset demonstrate that our method matches or exceeds the performance of larger baseline models while using 20–30% fewer parameters, achieving up to 48% latency reduction in …

Impact Of Physical Disabilities On Daily Life, Mobility, And Public Health Outcomes Among Internally Displaced Children In Nigeria, Winnifred Obeya-Ekoja

Walden Dissertations and Doctoral Studies

The growing population of internally displaced persons (IDPs) in Nigeria presents significant public health challenges for children with physical disabilities. This study investigated how physical disabilities affect daily life, mobility, access to resources, and health outcomes among internally displaced children in IDP camps in Benue State, Nigeria. Guided by the ecological model of health behavior, the study examined caregivers’ experiences of children’s self-care, daily activities, environmental and interpersonal conditions, sanitation, and access to healthcare. A basic qualitative design used semi-structured interviews with parents and caregivers selected through purposive and snowball sampling. Data were analyzed using Braun and Clarke’s six-phase thematic …

Black Existential–Spiritual Counseling: A Content Analysis, Miles Matise

Journal of Social, Behavioral, and Health Sciences

Black American existential–spiritual counseling integrates existential philosophy with the unique cultural, historical, and spiritual contexts of Black Americans to address their psychological and spiritual needs. Rooted in the lived experience of systemic oppression, alienation, and the quest for identity and freedom, this counseling approach emphasizes meaning-making, personal responsibility, and authentic living. It acknowledges the interconnectedness of spirituality and psychology, recognizing the importance of the Black church, music, and communal values in fostering resilience and empowerment. Drawing on existential themes, such as mortality, freedom, loneliness, and purpose, this approach supports clients in navigating sociocultural stressors and generational trauma through a spiritually …

Developing A Protocol To Obtain Source Directivity Of Hydroacoustic Transducers In A Water Tank, Benjamin White

Undergraduate Honors Theses

This thesis describes the formulation and application of a methodology designed to obtain source directivity of hydroacoustic transducers in the BYU Underwater Acoustics Laboratory. Piezoelectric transducers are presented, and common methodologies to measure their directivity are reviewed. The schematics of the BYU Underwater Acoustics Lab are explained, including the use of positioning robots to position the source-receiver pair in the measurement chain. The protocol is divided into different configurations comprising various source-receiver orientations. The processes of time gating, calculation of OASPL, and plotting onto directional axes are described. The protocol is tested across four different alternative configurations, including one method …