Digital Commons Network^™

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 …

Steering Generative Ai Responses By Predicting User Intentions Using Slms And Behavioral Telemetry, Rachit Mathur, Payal Shah

Defensive Publications Series

Current conversational AI systems rely on monotonic streaming, requiring users to wait for complete responses before correcting misinterpretations. This disclosure describes a bifurcated dual-dispatch architecture that steers generative AI outputs mid-stream. By pairing a localized Small Language Model (SLM) shadow parser with a high-capacity frontier LLM, the system dynamically analyzes real-time client-side behavioral telemetry - including keystroke dwell times, backspace mutation ratios, and paste metadata to predict user intent and cognitive friction. When volatile semantic nodes or potential intent mismatches are detected, the SLM executes pre-emptive mitigations by tuning inference hyperparameters (such as temperature) or surfacing non-blocking, inline "intent chips" …

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 …

Dynamic Focal Loss Adjustment For Railway Defect Detection, Mehmet Koç, Ridvan Özdemi̇r, Ömer Gerek

Turkish Journal of Electrical Engineering and Computer Sciences

Railway infrastructure is critical to the safe and efficient operation of transportation systems, and the early detection of defects is essential for preventing catastrophic failures. Automated defect detection methods are therefore crucial for maintaining continuous safety while reducing maintenance costs. Although Focal Loss is widely used in object detection under class-imbalanced conditions, its fixed α parameter may limit its effectiveness in detecting rare defects. In this study, we propose an adaptive α-tuned Focal Loss approach that dynamically adjusts class weights based on average precision (AP) values. By iteratively optimizing α without relying on gradient-based optimization, the proposed method improves the …

Relative Rate Observer-Based Online Tuning Mechanism For Single-Input Interval Type-2 Fuzzy Pid Controllers, Oqba Aldreiei, Cenk Ulu, Mert Can Kurucu, Müjde Güzelkaya

Turkish Journal of Electrical Engineering and Computer Sciences

The characteristics of the footprint of uncertainty (FOU) in interval type-2 membership functions (IT2-MFs) are crucial to the performance and robustness of interval type-2 fuzzy controllers (IT2-FCs). However, existing IT2-FC design approaches mostly use fixed FOU structures. This study proposes an online membership function (MF) adjustment mechanism for a single-input interval type-2 fuzzy PID controller (SIT2-FPID)  that adjusts the FOU of the antecedent MFs and weights of the consequent MFs, respectively, to achieve high performance and robustness. The proposed online adjustment mechanism consists of a relative rate observer (RRO), a two-input rule-base adjustment system, and a first-order smoothing filter. The …

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 …

Boundary Layer Sliding Mode Control Strategy For Variable-Speed Compressor In Deep Freezers: Experimental Validation Of Energy Efficiency And Freezing Capacity, Sertan Aksoy, Kami̇l Çeti̇n, Sezai̇ Taşkin

Turkish Journal of Electrical Engineering and Computer Sciences

This study presents the design and experimental validation of a nonlinear sliding mode controller developed for a deep freezer equipped with a variable-speed compressor. The proposed control strategy aims to minimize energy consumption while maintaining rapid and stable cooling performance under varying ambient conditions. A detailed thermal model of the deep freezer was established using an equivalent resistance–capacitance network representation, enabling precise analysis of temperature dynamics. The sliding mode-based control algorithm dynamically adjusts the compressor’s operating frequency according to temperature deviation, ambient conditions, and time-dependent factors, providing robust performance without requiring parameter retuning for different models. Beyond theoretical-based analysis, a …

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 …

Lindenwood Digest, September 16, 2026, Lindenwood University

Lindenwood Digest

• Event & Date: The Lindenwood University Employee Digest was published on September 16, 2026, announcing the President's Town Hall on September 16, 2026, and the Fall Business Ethics Panel on October 1, 2026.

• Geographic Grounding: Documented events take place at Scheidegger Theater and Dunseth Auditorium in Harmon Hall, Lindenwood University, St. Charles, Missouri.

• Key Honorees/Awards: Director of Operations and Engineering of Mane Media Productions Brandon McKinney received Q2 recognition for broadcast engineering support; Senior Professor of Psychology Dr. Rebecca Foushee received Q2 recognition for providing independent research materials to biology students; Associate Professor of Art and Design Joe Weber received …

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 …

Measurement-Aware Zero-Phase Iterative Learning Control For Robust Regulation Of Nonideal Boost Converters In Electric Vehicle Fast Charging, Aytaç Altan, Mohammed S. Alzaidi, Cağfer Yanarateş

Turkish Journal of Electrical Engineering and Computer Sciences

Integrating battery energy storage with DC-DC boost converters for electric vehicle fast charging exposes the regulator to ageing-induced parameter drift, periodic load pulses, and, critically, the nonidealities in the output-voltage sensing chain. This paper proposes a measurement-aware, zero-phase iterative learning control scheme for robust output-voltage regulation of a nonideal boost converter whose parameters are matched to those of a commercial Texas Instruments TPS6102x battery regulator. The controller combines an inner proportional-integral stabilizing loop with an outer zero-phase learning law that updates a feedforward correction based on the sensor-captured output trajectory; a forward-backward robustness filter suppresses the amplification of measurement noise …

Revealing Cryptic Lineage Diversity In The Persian Gulf And Oman Sea Groupers (Perciformes: Epinephelidae): Phylogenetic And Species Delimitation Insights, Ehsan Damadi, Faezeh Yazdani Moghaddam, Masoumeh Gholipour Cheshm Gilak, Mehdi Ghanbarifardi

Turkish Journal of Zoology

Groupers (Epinephelidae) are a taxon of great commercial interest due to their large body size and high market value, and are also an important ecological species for biodiversity conservation in coral reef ecosystems. Despite their importance, phenotypic convergence among species generally leads to incorrect taxonomic identification, an issue enhanced by molecular studies revealing the presence of a high cryptic diversity and complicating conventional systematic frameworks. Herein, grouper species diversity in the ecologically heterogeneous Persian Gulf and Oman Sea was investigated to resolve taxonomic ambiguities and assess patterns of cryptic diversity. Mitochondrial COI gene sequencing was used in conjunction with integrative …

Artificial Intelligence Use Disclosure Student Rubric, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Artificial Intelligence Use Disclosure Student Log, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Artificial Intelligence Use Guidelines, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Cv: Martha Wilkins (Elementary Education), Martha Wilkins

Education Department Faculty Curricula Vitae

No abstract provided.

A Binary Multiobjective Hippopotamus Optimization Algorithm For Feature Selection In Phishing Website Detection, Fatima Belmessaoud, Sofiane Maza, Djaafar Zouache

Turkish Journal of Electrical Engineering and Computer Sciences

Phishing website detection remains a major challenge in cybersecurity as attackers continuously develop new techniques to deceive users. Identifying the most informative features from large datasets is essential to improve classification accuracy while reducing computational complexity. Feature selection is therefore widely addressed using metaheuristic optimization techniques due to their flexibility and global search capability. In this study, we propose a Binary Multiobjective Hippopotamus Optimization Algorithm (B-MOHOA) for feature selection in phishing website detection. The proposed method simultaneously optimizes two conflicting objectives: maximizing classification accuracy and minimizing the number of selected features. Unlike many existing studies that mainly focus on transfer …

Range–Angle-Dependent Oam Beamforming With A Concentric Helical Circular Fda, Uğur Yeşi̇lyurt

Turkish Journal of Electrical Engineering and Computer Sciences

Secure and spatially selective wireless transmission requires orbital angular momentum (OAM) beams that are confined to a specific range and angle, rather than propagating indefinitely along the beam axis. In this paper, a concentric helical circular frequency diverse array (CHCFDA) is proposed to generate range–angle-dependent OAM beams without requiring external phase shifters. The helical element positioning inherently provides the necessary interelement phase distribution through physical step height, while logarithmically increasing frequency offsets are applied across concentric rings—and optionally across individual elements—to eliminate range periodicity and achieve a single, well-focused OAM beam exclusively at the target location. Both linear and logarithmic …

Teachers’ Perspectives On Student-Centered Technology Integration, Kiyana Janise Bell

Walden Dissertations and Doctoral Studies

The problem that was addressed through this study was the inconsistent integration of student-centered technology among elementary teachers in an urban school district in the southeastern United States. Grounded in the technological pedagogical content knowledge framework, the purpose of this study was to explore teachers’ perspectives on the factors influencing their integration of student-centered technology. Using a basic qualitative design, semistructured interviews were conducted with 10 experienced certified K–5 teachers with at least 1 year of experience integrating technology into the curriculum. Data were analyzed through two-cycle inductive coding and thematic analysis resulting in six themes: teachers (1) demonstrated foundational …

The Current - Volume 37 Issue 02, Nova Southeastern University

Student Newspapers

No abstract provided.

Book Review: Security In The 21st Century Europe, Ionut Popescu

Parameters Bookshelf – Online Book Reviews

Author: Andrew Cottey

Reviewed by: Ionut Popescu, associate professor of political science, Texas State University

Europe’s security landscape has shifted dramatically, shaped by new threats like terrorism, energy dependence, and climate change. Security in the 21st Century Europe by Andrew Cottey offers a comprehensive analysis of how traditional interstate conflict has given way to complex policy dilemmas on the continent’s periphery. With a blend of theory and real-world case studies, this essential text explores how NATO, the EU, and national governments are adapting to a transformed strategic environment.

©2026 Ionut Popescu

The Bg News September 16, 2026, Bowling Green State University

BG News (Student Newspaper)

The BGSU campus student newspaper. September 16, 2026. Volume 106-Issue 04.

Innovating Effective Engineering Designs For Hazard Risk Reduction In North Carolina, Daniella Hirschfeld

Funded Research Records

No abstract provided.

Research And Innovation Update, September 17, 2026, Office Of The Vice President For Research And Innovation

Office of Research, Economic Engagement and Outreach

No abstract provided.

Click, Listen, Reflect: Implementing Discord In Critical Listening Courses, Kenny Shania Lestari R, Metaria Metaria, Siti Nurhalimah

Bahasa dan Seni: Jurnal Bahasa, Sastra, Seni, dan Pengajarannya

Critical listening requires learners not only to comprehend spoken information but also to interpret and evaluate its meaning. Digital learning environments may support these processes by providing opportunities for repeated access to spoken input, interaction, and collaborative discussion. This study explored how Discord was implemented in a Critical Listening course and how students perceived and experienced its use in supporting their critical listening learning. The study employed a qualitative descriptive design involving 20 students from the International Class Program at Maulana Malik Ibrahim State Islamic University of Malang. Data were collected through classroom observation checklists, field notes, and focus group …

Predictors Of Psychological Strain In College Students In The Context Of The Covid-19 Pandemic, Randy M. Ludwig

Journal of Social, Behavioral, and Health Sciences

The coronavirus disease 2019 (COVID-19) pandemic exacerbated the traditional challenges of being a college student. This study examined the factors associated with the mental health difficulties many college students faced during the pandemic. Factor analysis was used to uncover a latent variable called psychological strain, which was composed of mental instability, mental health strain, sadness, anxiety, and unhappiness. An exploratory path model was created to determine which factors most closely related to psychological strain. Of the 14 factors considered, 11 were significant predictors. Overall, the most important risk factor was found to be social isolation (total effects = .437), while …

Spectrum, Volume 57, Issue 1, Sacred Heart University

Newspapers (Obelisk & Spectrum)

Highlights include: Doctor of Medical Science Program Founded by SHU Alum -- SHU Dining is on Fire–Literally -- Spectrum Receives National Recognition -- FIJI Finds a Home at Sacred Heart -- Script to Stage: TheatreFest 2026 -- New Conference, New Competition

Spartan Daily, September 16, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 167, Issue 11

Confirmatory Factor Analysis And Measurement Invariance Of The Sexual Orientation Concealment Scale Among Nonbinary Lgbtq+ Adults, Peter D. Goldie, Michael T. Bixter, Suzanne Mclaren

Department of Psychology Faculty Scholarship and Creative Works

Sexual orientation concealment is a prevalent minority stressor among LGBTQ+ people (including nonbinary people) and it is associated with a series of adverse mental health outcomes. The Sexual Orientation Concealment Scale (SOCS) is a widely used brief measure assessing sexual orientation concealment. Although the SOCS has been used with diverse cisgender populations, its validity for nonbinary people, including those of varied racial/ethnic backgrounds and sexual orientations, remains unknown. Based on data from an international sample of 340 nonbinary LGBTQ+ individuals, the present study reports the findings of a confirmatory factor analysis to assess the one-factor structure and validity of the …