Advancing Cyber-Physical Security And Resilience Of Modern Power Systems: Intelligent Monitoring, Secure Operation, And Resilient Recovery,
2026
University of Central Florida
Advancing Cyber-Physical Security And Resilience Of Modern Power Systems: Intelligent Monitoring, Secure Operation, And Resilient Recovery, Md Moshiur Rahman
Graduate Studies Theses and Dissertations 2026
Modern power distribution systems are rapidly evolving into cyber-physical, DER-rich, and data-driven networks that rely on extensive sensing, communication, automation, grid-edge intelligence, and operator decision support. While this transformation improves flexibility, observability and controllability, it also expands the cyber-attack surface and increases the risk that cyber intrusions can propagate into physical disturbances, compromised DER operation, degraded situational awareness, and interrupted service continuity. This dissertation advances the cyber-physical security and resilience of modern distribution systems by developing a high-fidelity real-time cyber-physical hardware-in-the-loop testbed using OPAL-RT, EXata CPS, industrial relays, SCADA/RTAC, HMI, and grid-edge devices to emulate realistic DER-integrated distribution grid operation. …
Generative Ai-Driven Optimization In Flexible And Reconfigurable Manufacturing Systems,
2026
Monastir University, Tunisia
Generative Ai-Driven Optimization In Flexible And Reconfigurable Manufacturing Systems, Salah Hammedi, Hicham Chaoui, Lotfi Nabli
Electrical & Computer Engineering Faculty Publications
Flexible and Reconfigurable Manufacturing Systems (FRMSs) are essential for coping with variability in modern production environments; however, efficient scheduling and rapid reconfiguration remain challenging. This paper presents a hybrid optimization framework that integrates Colored Petri Net (CPN) modeling with Generative Artificial Intelligence (GenAI) to enhance scheduling performance and system adaptability. The CPN formalism ensures verifiable modeling of system dynamics, while a transformer-based generative model produces candidate scheduling and reconfiguration strategies. Simulation experiments were conducted under static, dynamic, and adaptive scenarios, including machine breakdowns and dynamic job arrivals. Performance was evaluated using makespan, mean flow time, machine utilization, and reconfiguration latency. …
Generalized Inverter Fault Detection Using Normalized Current Features And A Lightweight Bilstm Network,
2026
Carleton University
Generalized Inverter Fault Detection Using Normalized Current Features And A Lightweight Bilstm Network, Mohammad Zamani Khaneghah, Mohamad Alzayed, Hicham Chaoui
Electrical & Computer Engineering Faculty Publications
Fault detection and diagnosis of three-phase inverter-fed motor drives is essential for ensuring system reliability, safety, and continuous operation in applications such as electric vehicles and industrial automation. This paper proposes a data-driven fault detection framework based on normalized current features and a lightweight bidirectional long short-term memory (BiLSTM) network which can be generalized to different motor power rating in the same controller system. A compact set of six time-domain features, consisting of the mean and root-mean-square (RMS) values of the phase currents, is extracted and normalized with respect to the average RMS value. This normalization effectively removes dependency on …
Statewide Corridor Evacuation Response And Re-Entry Behaviors In Florida During Hurricane Irma,
2026
Inner Mongolia University
Statewide Corridor Evacuation Response And Re-Entry Behaviors In Florida During Hurricane Irma, Xin Wang, Yuan Zhu, Hong Yang, Kun Xie
Electrical & Computer Engineering Faculty Publications
Hurricane Irma stands as one of the most destructive tropical storms to make landfall in the United States, particularly impacting the State of Florida, where it prompted the largest evacuation in history with approximately 7 million residents. The profound consequences of mass evacuation underscore the critical need to understand travel behaviors during hurricane evacuation and the recovery process. This research analyzes statewide evacuation and re-entry patterns, leveraging diverse datasets, including TTMS data from main corridors and GIS data. A statewide corridor-based empirical analysis framework is constructed to characterize evacuation and re-entry response patterns using sensor-based traffic observations. The results show …
Improving Medical Diagnostics With Vision-Language Models: Convex Hull-Based Uncertainty Analysis,
2026
University of Stavanger
Improving Medical Diagnostics With Vision-Language Models: Convex Hull-Based Uncertainty Analysis, Ferhat Ozgur Catak, Murat Kuzlu, Taylor Patrick, Michel Audette
Engineering Technology Faculty Publications
In recent years, vision-language models (VLMs) have been applied to various fields, including healthcare, education, finance, and manufacturing, with remarkable performance. However, concerns remain regarding VLMs’ consistency and uncertainty, particularly in critical applications such as healthcare, which demand a high level of trust and reliability. This paper proposes a novel approach to evaluate uncertainty in VLMs’ responses using a convex hull approach on a healthcare application for visual question answering (VQA). For any VLM, temperature refers to a sampling parameter used in probabilistic generation, which controls the randomness of the model’s output. The LLM-CXR model is selected as the medical …
Hybrid Learning And Optimization Methods For Solving Capacitated Vehicle Routing Problem,
2026
Singapore Management University
Hybrid Learning And Optimization Methods For Solving Capacitated Vehicle Routing Problem, Monit Sharma, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
We propose a hybrid quantum–classical framework for the Capacitated Vehicle Routing Problem (CVRP) that integrates the Augmented Lagrangian Method (ALM) with deep reinforcement learning (RL). Directly solving CVRP via Variational Quantum Eigensolver (VQE) requires a slack-based QUBO formulation, where converting inequalities to equalities greatly increases the qubit count. To circumvent this, we employ an ALM-based reformulation that enforces constraints through Lagrange terms instead of slack variables, drastically reducing quantum resource demands. An RL agent, trained with Soft Actor–Critic, adaptively tunes the Lagrange penalties to improve convergence and feasibility. Experiments show that RL-Q-ALM outperforms static-penalty and plain VQE baselines in both …
A Study Of Perceptions, Readiness, Benefits, And Barriers Related To Exoskeleton Adoption In New Jersey’S Warehousing Sector,
2025
New Jersey Institute of Technology
A Study Of Perceptions, Readiness, Benefits, And Barriers Related To Exoskeleton Adoption In New Jersey’S Warehousing Sector, Terry Asante
Theses
The warehousing industry in New Jersey remains a vital component of the region's logistics network, employing more than 200,000 workers who routinely engage in lifting, bending, overhead reaching, and other physically demanding activities. These exposures contribute to musculoskeletal disorder (MSD) rates that exceed national averages, particularly affecting the low back and shoulders. Nationally, MSDs account for an estimated $420 billion in combined direct and indirect costs each year, underscoring the need for interventions that can effectively reduce biomechanical strain. Industrial exoskeletons have emerged as a potential solution, with prior research demonstrating reductions in muscle activation, perceived exertion, and fatigue during …
Optimization Of Welding Parameters For Carbon Steel Fabrication: A Trade-Off Between Tensile Strength And Heat-Affected Zone,
2025
Department of Automotive and Mechanical Engineering, Faculty of Transport Engineering and Technology, National Institute of Transport, Dar es salaam, Tanzania, P.O. Box 705, Dar es Salaam, TANZANIA
Optimization Of Welding Parameters For Carbon Steel Fabrication: A Trade-Off Between Tensile Strength And Heat-Affected Zone, Melkiory B. Njawala, Simon I. Marandu, Enock W. Nshama
Tanzania Journal of Engineering and Technology (TJET)
This study focused on optimizing gas metal arc welding (GMAW) parameters for AISI 1045 carbon steel to balance the ultimate tensile strength (UTS) and heat affected zone (HAZ) size of the weldment. Using a full factorial design of experiments (27 trials), the influence of welding current, arc voltage, and travel speed on UTS and HAZ size of AISI 1045 carbon steel weldments were investigated. From the analysis of results, using Analysis of variance (ANOVA) technique, the results revealed that current, travel speed and arc voltage contributed 74.41%, 19.05% and 0.04%, respectively, to the total percentage of variations on UTS data. …
Combined Optimisation Of Machining Parameters, Tool Wear, Dimensional Errors And Quality Deviations In Multi-Pass Turning Operations,
2025
Department of Industrial Engineering and Engineering Management, University of South Africa, P.O. Box 392, Pretoria, South Africa
Combined Optimisation Of Machining Parameters, Tool Wear, Dimensional Errors And Quality Deviations In Multi-Pass Turning Operations, Mussa I. Mgwatu
Tanzania Journal of Engineering and Technology (TJET)
Measurements of on-line tool wear and part dimensional accuracy in machining operations are not readily available in machining shop floor because they involve higher investment such that the decisions of tool wear and part quality for intermediate cutting passes cannot be justified. This paper demonstrates how the optimisation of machining parameters can be made together with tool wear and part quality for turning operations. Two optimisation models were developed for maximum material removal rate and minimum production cost. A theoretical framework was initially presented before the two models were formulated. Input data for the models were adopted from previous studies …
Design Of A Sequential Logic Control System For Water Recycling In Car Wash Operations For Minimising Utility Costs,
2025
Department of Mechanical and Industrial Engineering, University of Dar es Salaam, P.O. Box 35131, Dar es Salaam, TANZANIA
Design Of A Sequential Logic Control System For Water Recycling In Car Wash Operations For Minimising Utility Costs, Enock W. Nshama, Mussa Iddi Mgwatu
Tanzania Journal of Engineering and Technology (TJET)
The car wash sector in Tanzania is expected to expand in the next few years, since the trend of imported cars is increasing. However, the traditional method of washing cars is subjected to water overuse and environmental pollution. This study presents a design of water recycling sequential logic control system to come up with a cost-effective car wash operation aimed at effectively utilising water and electricity resources. Data were collected at 78 car wash stations in Dar es Salaam region to determine water and electricity costs. Data were analysed using MS Excel and Minitab to establish the trend of utility …
Techno-Economic Analysis Of Captive Solar Power Systems For Tanzania’S Manufacturing Sector: Barriers, Opportunities, And Feasibility,
2025
Department of Mechanical and Industrial Engineering, University of Dar es Salaam, P.O Box 35131, Dar es Salaam, Tanzania.
Techno-Economic Analysis Of Captive Solar Power Systems For Tanzania’S Manufacturing Sector: Barriers, Opportunities, And Feasibility, Edson Uhale, Sarah P. Ayeng'o
Tanzania Journal of Engineering and Technology (TJET)
This study provides a comprehensive techno-economic analysis of the barriers, opportunities, and feasibility of adopting captive solar photovoltaic (PV) systems in Tanzania’s industrial manufacturing sector. Despite Tanzania’s high solar irradiation potential, averaging 4.5 to 7.0 kWh/m²/day, the uptake of captive solar systems remains minimal, with only 2.3 percent of surveyed firms currently using solar energy, primarily for non-productive uses such as security lighting. Using a mixed-methods approach, data were collected from 43 manufacturing firms in the Dar es Salaam and Pwani regions through structured questionnaires, supported by PVSyst simulations and financial modelling to assess two system configurations: grid-connected PV systems …
Improvement Of Technology And Control And Management Systems Of The Plant Oil Refination Process,
2025
Tashkent State Technical University. Address: st. Universitetskaya 2, 100095, Tashkent, Republic of Uzbekistan. E-mail: [email protected].
Improvement Of Technology And Control And Management Systems Of The Plant Oil Refination Process, Elyor Samadov
Chemical Technology, Control and Management
The article examines modern approaches to modernizing vegetable oil refining processes from the perspective of increasing energy efficiency, environmental friendliness, and final product quality. Traditional and innovative technologies are analyzed, with a focus on the implementation of membrane filtration, automated control systems, heat exchange complexes, and renewable energy sources. It has been shown that the use of intelligent control systems, high-precision membrane filters, and heat regeneration allows for a 25% reduction in energy consumption, a 20% reduction in greenhouse gas emissions, and a significant improvement in acidity, color, and impurity content in the product. The obtained results show the effectiveness …
Analog Systems Of Physical Quantities And Their Graph Models In Determining The Parameters Of Mechatronic Modules,
2025
Department of Mechatronics and Robotics, Faculty of Electronics and Automation, Tashkent State Technical University named after Islam Karimov. Tashkent. Uzbekistan. E-mail: [email protected];
Analog Systems Of Physical Quantities And Their Graph Models In Determining The Parameters Of Mechatronic Modules, Temurbek Omonboevich Rakhimov, Elmira Eshmurod Qizi Raxmanova, Guzal Khujaniyazova
Chemical Technology, Control and Management
This article is dedicated to the analogy systems of physical quantities and their graph models in determining the parameters of mechatronic modules. It presents the general sets and fundamental laws of analogy systems of physical quantities and their elements for determining the parameters of mechatronic modules. Based on the general sets and fundamental laws of analogy systems of physical quantities and their elements, principles have been developed for mechatronic modules with a heterogeneous structure consisting of electrical, magnetic, and mechanical parts. In these modules, the field as a form of matter exists, forming the basis for developing mathematical models to …
Improving Self-Diagnostic Methods Of Flow Measurement Systems Based On Artificial Intelligence,
2025
Tashkent State Technical University, Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: [email protected], Phone: +998901092908. ORCID: https://orcid.org/0009-0001-0693-3990
Improving Self-Diagnostic Methods Of Flow Measurement Systems Based On Artificial Intelligence, Elbek Ortikov
Chemical Technology, Control and Management
The article examines methods for improving self-diagnostics of consumption measurement systems based on artificial intelligence in the context of industry digitalization and the development of cyber-physical systems. It has been shown that traditional flow meters used to measure the flow rate of liquids and gases are subject to mechanical, hydraulic, electronic, and hidden failures, which reduce the accuracy and reliability of measurements. A justification for the need to transition from classical maintenance methods to intelligent self-control methods that ensure the detection of anomalies and hidden malfunctions in real time is presented. A multi-level architecture of intelligent self-diagnosis is proposed, including …
Performance Assessment Of Operators Under Digital Simulator-Based Training In Automated Industrial Systems,
2025
Tashkent state technical university named after Islam Karimov, Tashkent, Uzbekistan. Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: [email protected], Phone: +998-99-852-66-65.
Performance Assessment Of Operators Under Digital Simulator-Based Training In Automated Industrial Systems, Kamola Abdullaeva
Chemical Technology, Control and Management
This article proposes a comprehensive approach to training process operators, based on computer simulators integrated with digital twins, SCADA/DCS systems, real production data, and artificial intelligence algorithms. This approach is particularly relevant given the increased requirements for safety, productivity, and reliability of industrial facilities, as human factors are often the main cause of accidents (up to 60-80% of cases). The architecture of the simulator complex is designed to accurately emulate steady-state, transient, and pre-emergency operating modes of equipment, which are not achievable under actual production conditions. The experiment compared the training effectiveness of two groups of operators: one that used …
Expansion Of The Functionality Of Discrete Fiber-Optic Liquid Level Sensors,
2025
Tashkent State Technical University. Address: st. Universitetskaya 2, 100095, Tashkent, Republic of Uzbekistan. E-mail: [email protected];
Expansion Of The Functionality Of Discrete Fiber-Optic Liquid Level Sensors, Azimjon Mamadaliyevich Khusanov, Yuriy Gennadyevich Shipulin
Chemical Technology, Control and Management
The article examines the problems and prospects of creating discrete fiber-optic liquid level gauges. Functional diagrams of single-channel and multi-channel discrete fiber-optic liquid level meters are presented. Examining the challenges of keeping this system running continuously reveals that sustaining its required reliability necessitates replacing malfunctioning measurement systems with operational ones. Investigations into differential equation models demonstrate that system recovery and failure events occur independently and follow a Poisson distribution pattern.
Investigation Of Nonlinear Magnetic Circuits Of Measuring Transducers With A Special Parameter Distribution Structure,
2025
Tashkent State Transport University. Address: 1 Temiryolchilar Street, Mirobod District, Tashkent, Republic of Uzbekistan. E-mail: javhar2019mail.ru.
Investigation Of Nonlinear Magnetic Circuits Of Measuring Transducers With A Special Parameter Distribution Structure, Javhar Sulton O'G'Li Fayzullayev
Chemical Technology, Control and Management
The article proposes a new analytical method for investigating nonlinear magnetic circuits with a special structure of parameter distribution. The method is based on introducing into the system of nonlinear differential equations of such circuits the condition that the second derivative of the magnetic flux along the length of the circuit is equal to zero, as well as on the assumption that one of the geometric parameters of the studied magnetic circuit – the size of the air gap between the ferromagnetic rods, their thickness, width, or the linear value of the number of turns of the distributed excitation winding …
Design Of A Fuzzy Set-Point Tracking Controller Based On The State-Dependent Control Characteristics Of Fuzzy Logic And Pid For Temperature Control Systems In Electrical Equipment,
2025
Azerbaijan State Oil and Industry University, Baku, Azerbaijan. E-mail: [email protected].
Design Of A Fuzzy Set-Point Tracking Controller Based On The State-Dependent Control Characteristics Of Fuzzy Logic And Pid For Temperature Control Systems In Electrical Equipment, Rahim Mammadzada
Chemical Technology, Control and Management
This paper presents a Fuzzy-SPT (Fuzzy Set-Point Tracking) controller designed to combine the strengths of FLC (Fuzzy Logic Control) and PID (Proportional-Integral-Derivative) control while mitigating their limitations across varying operating conditions. Inspired by state-dependent reasoning but implemented within a single controller, the method uses internal logic to adapt the control effort across different operating regions. FLC handles rapid changes and nonlinear transients, enabling fast system response without overshoot, while PID-like integral action is activated when the FLC reaches steady state or enters a threshold region near the set point, eliminating residual errors and maintaining stable performance. By applying each behavior …
Empirical Analysis Of Machine Learning Models For Predicting Equipment Failures Using Iot Sensor Data,
2025
Tashkent State Technical University, Address: 100095, Tashkent city, st. University 2, Republic of Uzbekistan. E-mail: [email protected].
Empirical Analysis Of Machine Learning Models For Predicting Equipment Failures Using Iot Sensor Data, Yusuf Shodiyevich Avazov
Chemical Technology, Control and Management
This article examines the problem of detecting and predicting industrial equipment faults using IoT sensor data through machine learning techniques. Sensor readings such as temperature, vibration, pressure, voltage, and current, as well as FFT-based features, were statistically analyzed. Class imbalance and low signal informativeness were identified as key factors limiting model accuracy. Results obtained from Logistic Regression, Random Forest, and XGBoost models were comparatively evaluated, showing that when ROC-AUC values remain around 0.5, distinguishing fault and non-fault states becomes challenging. Correlation and feature-importance analyses confirmed the absence of strong dominant indicators. The findings highlight the need to improve sensor architecture …
Current Trends In Industrial Gas Furnace Control And Monitoring Systems,
2025
Tashkent State Technical University, Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: [email protected].
Current Trends In Industrial Gas Furnace Control And Monitoring Systems, Utkir Uktam O'Gli Kholmanov
Chemical Technology, Control and Management
This paper presents a critical review of modern control methods applied to industrial gas-fired furnaces. Conventional PID controllers and their advanced modifications, including Advanced Process Control (APC) and cascade control schemes, are analyzed alongside Model Predictive Control (MPC) approaches. In addition, intelligent control algorithms—such as fuzzy logic and neuro-fuzzy systems (Fuzzy, ANFIS)—are examined. The study also considers advanced sensing technologies, including Tunable Diode Laser Absorption Spectroscopy (TDLAS), acoustic pyrometry, and infrared pyrometers, as well as digital twins and CFD-based modeling techniques. Particular attention is given to a comparative evaluation of control strategies based on key performance criteria, including energy efficiency, …
