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Articles 2041 - 2070 of 37177

Full-Text Articles in Electrical and Computer Engineering

Out Of Order And Causally Correct: Ready-Event Discovery Through Data-Dependence Analysis, Erik John Jensen, James Leathrum Jr., Christopher Lynch, Katherine Smith, Ross Gore Jan 2025

Out Of Order And Causally Correct: Ready-Event Discovery Through Data-Dependence Analysis, Erik John Jensen, James Leathrum Jr., Christopher Lynch, Katherine Smith, Ross Gore

Electrical & Computer Engineering Faculty Publications

Data-dependence analysis can identify causally-unordered events in a pending event set. The execution of these events is independent from all other scheduled events, making them ready for execution. These events can be executed out of order or in parallel. This approach may find and utilize more parallelism than spatial-decomposition parallelization methods, which are limited by the number of subdomains and by synchronization methods. This work provides formal definitions that use data-dependence analysis to find causally-unordered events and uses these definitions to measure parallelism in several discrete-event simulation models. A variant of the event-graph formalism is proposed, which assists with identifying …

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The Effect Of Electrode Geometry On Excited Species Production In Atmospheric Pressure Air-Hydrogen Streamer Discharge, Shirshak Kumar Dhali, Stuart Reyes Jan 2025

The Effect Of Electrode Geometry On Excited Species Production In Atmospheric Pressure Air-Hydrogen Streamer Discharge, Shirshak Kumar Dhali, Stuart Reyes

Electrical & Computer Engineering Faculty Publications

When a gas is overvolted at or near atmospheric pressure, it results in a streamer discharge formation. Electrode geometries exert significant impact on the electrical breakdown of gases by altering the spatial profile of the electric field. In many applications the efficient generation of radicals is critical and is determined by the characteristics of the streamer discharge. We examine the effect of electrode geometry on the streamer characteristics and the production of radicals. This is performed for three different electrode geometries: plane–plane, pin–plane, and pin–pin. A two-dimensional rotationally symmetric fluid model is used for the streamer discharge simulation in the …

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Ai-Based Steganography Method To Enhance The Information Security Of Hidden Messages In Digital Images, Nhi Do Ngoc Huynh, Jiajun Jiang, Chung-Hao Chen, Wen-Chao Yang Jan 2025

Ai-Based Steganography Method To Enhance The Information Security Of Hidden Messages In Digital Images, Nhi Do Ngoc Huynh, Jiajun Jiang, Chung-Hao Chen, Wen-Chao Yang

Electrical & Computer Engineering Faculty Publications

With the increasing sophistication of Artificial Intelligence (AI), traditional digital steganography methods face a growing risk of being detected and compromised. Adversarial attacks, in particular, pose a significant threat to the security and robustness of hidden information. To address these challenges, this paper proposes a novel AI-based steganography framework designed to enhance the security of concealed messages within digital images. Our approach introduces a multi-stage embedding process that utilizes a sequence of encoder models, including a base encoder, a residual encoder, and a dense encoder, to create a more complex and secure hiding environment. To further improve robustness, we integrate …

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Input Independent Observers For Bilinear Systems Using Convex Optimization, M. Aminul Haq, W. Steven Gray Jan 2025

Input Independent Observers For Bilinear Systems Using Convex Optimization, M. Aminul Haq, W. Steven Gray

Electrical & Computer Engineering Faculty Publications

An asymptotic state variable observer is proposed for a continuous-time bilinear dynamical system with the distinguishing feature that the error dynamics are globally asymptotically stable and independent of the applied input. Only the speed of convergence of the error dynamics may be input dependent. The approach is to apply classical Lyapunov stability theory using a convex optimization algorithm and linear matrix inequality (LMI) tools to in effect isolate the stability property of the error dynamics from the input. The LMIs are used to turn the nonconvex problem into a convex problem. The method is demonstrated on an induction motor drive.

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Optimizing Material Selection And Operational Conditions For Xhv Systems: Lessons From Aisi 1020 And 316l Comparative Studies, Aiman H. Al-Allaq, Md Abdullah Mamun, Matt Poelker, Abdelmageed Elmustafa Jan 2025

Optimizing Material Selection And Operational Conditions For Xhv Systems: Lessons From Aisi 1020 And 316l Comparative Studies, Aiman H. Al-Allaq, Md Abdullah Mamun, Matt Poelker, Abdelmageed Elmustafa

Mechanical & Aerospace Engineering Faculty Publications

In this study, AISI 1020 low-carbon steel was investigated as a cost-effective alternative to SS316L stainless steel for reaching extreme high vacuum (XHV) conditions. After being baked at 400°C, a vacuum chamber made of low-carbon steel material exhibited an outgassing rate approximately 2000 times smaller than a similar chamber made of stainless steel. Its activation energy for hydrogen diffusion (27 kJ/mol) is less than half that of stainless steel (60.3 kJ/mol), indicating more efficient hydrogen removal during bakeout. MolFlow+ simulations supported the experimental data and demonstrated the importance of system geometry optimization and minimizing stainless steel content for achieving optimal …

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Rheology Of Alumina Suspensions Subjected To Alternating Current Electric Fields For Freeze-Casting, Sivakumar Chithamallu, Ruksana Baby, Jacob L. Jones, Dipankar Ghosh Jan 2025

Rheology Of Alumina Suspensions Subjected To Alternating Current Electric Fields For Freeze-Casting, Sivakumar Chithamallu, Ruksana Baby, Jacob L. Jones, Dipankar Ghosh

Mechanical & Aerospace Engineering Faculty Publications

Alternating current (AC) electric field can extrinsically tune freeze‐cast microstructure, originating from field‐induced increase in viscosity of ceramic suspensions. However, the changes that occur in a ceramic suspension and rheological behavior, ultimately affecting freeze‐cast microstructure, are not well understood. Moreover, the effects of AC electrokinetic forces and temperature on viscosity need to be decoupled. The viscosity and temperature of ceramic suspensions subjected to AC field and direct heating were measured, revealing that the increase in viscosity is due to AC dielectrophoretic forces rather than field‐induced heating of suspension. The shear thinning behavior of suspensions characterized using a power‐law model reveals …

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A Comprehensive Review Of Piezoelectric Pvdf Polymer Fabrications And Characteristics, Nadia Ahbab, Sidra Naz, Tian-Bing Xu, Shihai Zhang Jan 2025

A Comprehensive Review Of Piezoelectric Pvdf Polymer Fabrications And Characteristics, Nadia Ahbab, Sidra Naz, Tian-Bing Xu, Shihai Zhang

Mechanical & Aerospace Engineering Faculty Publications

Polyvinylidene fluoride (PVDF) polymer films, renowned for their exceptional piezoelectric, pyroelectric, and ferroelectric properties, offer a versatile platform for the development of cutting-edge micro-scale functional devices, enabling innovative applications ranging from energy harvesting and sensing to medical diagnostics and actuation. This paper presents an in-depth review of the material properties, fabrication methodologies, and characterization of PVDF films. Initially, a comprehensive description of the physical, mechanical, chemical, thermal, electrical, and electromechanical properties is provided. The unique combination of piezoelectric, pyroelectric, and ferroelectric properties, coupled with its excellent chemical resistance and mechanical strength, makes PVDF a highly valuable material for a wide …

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Visible Modulation Of Epsilon Near Zero Materials, Jonathan M. Weber Jan 2025

Visible Modulation Of Epsilon Near Zero Materials, Jonathan M. Weber

Theses and Dissertations

While Epsilon-Near-Zero materials have offered many benefits from their introduction to the field of nonlinear optics, those materials have also narrowed the range of wavelengths often studied. With reliable and proven enhancements to light-matter interaction in the ENZ region, many researchers have had little reason to extend the spectrum measured in experiments. The purpose of this work is to measure the intensity dependent refractive index of Indium Tin Oxide across a broad spectral range, from ultraviolet to near infrared, to improve the understanding of semiconductor nonlinearities far from Lorentz and Drude resonances. Furthermore, the visible region is naturally low-loss in …

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Plasmon-Assisted On-Chip Integration Of Quantum Emitter For Scalable Quantum Networking, Samprity Saha Jan 2025

Plasmon-Assisted On-Chip Integration Of Quantum Emitter For Scalable Quantum Networking, Samprity Saha

Theses and Dissertations

In recent decades, quantum theory has sparked a revolutionary outlook on our long-standing perception of information processing and communication technologies. Photon-based quantum systems, relying on single photons governed by quantum mechanics, hold immense promise for quantum networks due to their resilience against decoherence and fast propagation speeds. However, challenges persist in realizing practical quantum networks, including the need for scalable, robust, and cost-effective quantum light. To address these challenges with classical photonic concepts, this thesis focuses on a plasmon-assisted approach for on-chip integration of single-photon sources. The study aims to develop a scalable solution for integrating quantum emitters on-chip, leveraging …

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Modeling Of Slot-Backed Microstrip Line For Emi Applications, Jongsuk Hyun Jan 2025

Modeling Of Slot-Backed Microstrip Line For Emi Applications, Jongsuk Hyun

Masters Theses

Radiated emissions from printed circuit boards (PCBs) are a significant concern in electromagnetic interference (EMI) and radio frequency interference (RFI). Shielding cans are widely used to mitigate these emissions but evaluating requires accurate characterization of equivalent noise sources. Slot-backed microstrip antennas are employed for this purpose due to their near-zero height, low parasitic radiation, and PCB-compatible structure, offering a practical alternative to conventional loop antennas. This paper presents a physics-based analytical model that integrates both the discontinuity effects and radiated characteristics of slot-backed microstrip structures within a unified circuit framework. An analytical expression for the dipole moment is proposed based …

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Biological Computing From Microscopic To Macroscopic Evolution, Xiaofeng Ding Jan 2025

Biological Computing From Microscopic To Macroscopic Evolution, Xiaofeng Ding

Masters Theses

A unified theory from microscopic to macroscopic DNA-based biological systems is explained in terms of the rule components used when the system size is increased. Even though the eight female rules in each ruleset are provided with an equal probability of the computation-state outcomes, the initial ensemble of the computation states will exponentially settle into one dominant rule that supports the nutrition needed for growth. The remaining seven rules form into two minority groups to provide the biological characteristics of the system's growth from a micro to macroscopic evolution. The object of this study is to prove that such a …

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Simulated Efficiency Of A Modified Bmw I3 Traction Motor Operating As An Isolated Dc-Dc Converter, Shayne Taylor Jan 2025

Simulated Efficiency Of A Modified Bmw I3 Traction Motor Operating As An Isolated Dc-Dc Converter, Shayne Taylor

Graduate Research Theses & Dissertations

Battery electric vehicles are currently fighting to have any advantage over internal combustion engine powered vehicles to reduce global transportation greenhouse gas emissions. Electric motors are typically deemed as the largest source of loss in many vehicles but have recently become more efficient on average than the AC-DC converter used to charge the vehicle. This paper investigates the potential for a dual three phase electric traction motor based on a BMW i3 electric vehicle traction motor to take the place of an isolated DC-DC converter, an important part of the AC-DC converter. This electric machine in simulations produced a similar …

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Identification Of Potential Superconductor Quench Precursors Using Frequency Domain Feature Analysis, Benjamin C. Roehrig Jan 2025

Identification Of Potential Superconductor Quench Precursors Using Frequency Domain Feature Analysis, Benjamin C. Roehrig

Graduate Research Theses & Dissertations

Superconducting magnets are important pieces of technology in the world of particle accelerators, allowing researchers to study atomic and subatomic phenomena, among other things. In some instances, superconductors can lose this non-resistive property in a phenomenon known as quenching, which can cause damage to the magnets. This potential danger prompts the introduction of systems to predict when a quench is imminent; one such implementation is through the use of acoustic sensors that detect vibrations within the magnet. Within these acoustic sensor signals, significantly above-noise disturbances (referred to as ”events”) can be identified. Our research applies the statistical framework of a …

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Improving K-Mean Clustering: A Comparative Study Of Parallelized Version Of Modified K-Mean Algorithm For Clustering Of Satellite Images, Yuv Raj Pant Jan 2025

Improving K-Mean Clustering: A Comparative Study Of Parallelized Version Of Modified K-Mean Algorithm For Clustering Of Satellite Images, Yuv Raj Pant

Electronic Theses and Dissertations

Efficient clustering of high-dimensional satellite image datasets remains a critical challenge, particularly due to the computational demands of spectral distance calculations, random centroid initialization, and sensitivity to outliers in conventional K-Mean algorithms. This study presents a comprehensive comparative analysis of eight parallelized variants of the K-means algorithm, designed to enhance clustering efficiency and reduce computational burden for large-scale satellite image analysis. The proposed parallelized implementations incorporate optimized centroid initialization for better starting point selection, a Dynamic K-mean sharp method to detect the outlier to improve cluster robustness, and a Nearest-Neighbor Iteration Calculation Reduction method to minimize redundant computations. These enhancements …

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Semantic Think-On-Graph (Semtog) : Enhancing Graphrag Through Semantic Community Detection, Sugam Mishra Jan 2025

Semantic Think-On-Graph (Semtog) : Enhancing Graphrag Through Semantic Community Detection, Sugam Mishra

Electronic Theses and Dissertations

Graph-based Retrieval-Augmented Generation (GraphRAG) enhances large language models (LLMs) by grounding their reasoning in structured knowledge graphs, making them more reliable for multi-hop reasoning and factual QA. A central mechanism in Think-on-Graph systems such as ToG[14] and FastToG[7] is community detection, which groups locally related nodes into compact subgraphs so that LLMs can reason over focused, information-rich neighborhoods instead of traversing the entire graph. However, these methods rely purely on structural connectivity, often scattering semantically related entities across different communities and weakening the evidence provided to the LLM. We propose Semantic Think-on-Graph (SemToG), a semantic-aware extension of FastToG[7] that integrates …

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Distributed Energy Resources (Der) Capacity Estimation With Spatiotemporal Downscaling For Transmission And Distribution Coordination, Abhilasha Suvedi Jan 2025

Distributed Energy Resources (Der) Capacity Estimation With Spatiotemporal Downscaling For Transmission And Distribution Coordination, Abhilasha Suvedi

Electronic Theses and Dissertations

The primary objective of this thesis is to accurately estimate the capacity of distributed energy resources (DERs) using the spatiotemporally downscaled local solar irradiance for their efficient integration into transmission-level grid operations. Accurate estimation of DER capacity is crucial for their enhanced integration into real-time electricity markets. Different methods of spatiotemporally downscaling the solar irradiance are presented in this thesis, followed by their integration into the 12 house distribution network – a low voltage residential distribution system. Grid support functions (GSFs) like Volt-Watt Control, Volt-VAR control, and Frequency-Watt Control are applied to effectively regulate the frequency and maintain the voltage …

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Redefining Electrical And Computer Engineering Faculty With Longitudinal Support For Women And Underrepresented Minorities, Barbara E. Merino, Agnieszka Miguel Jan 2025

Redefining Electrical And Computer Engineering Faculty With Longitudinal Support For Women And Underrepresented Minorities, Barbara E. Merino, Agnieszka Miguel

Electrical and Computer Engineering Faculty Works

Despite many efforts to increase the diversity among electrical and computer engineering (ECE) faculty, the number of women and underrepresented minority faculty is still alarmingly low. Over the past eight years, NSF-sponsored iREDEFINE hosted 207 underrepresented ECE postdoctoral and PhD students for a two-day workshop designed to motivate and prepare them to pursue faculty positions. Although this program was designed to increase the diversity of ECE faculty, it can serve as a model for other STEM fields. Details of the iREDEFINE program will be shared in this paper along with quantitative and qualitative data demonstrating the success of iREDEFINE. Work …

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Increasing Student Achievement In Ece Fundamentals Through Standards-Based Grading, Barbara E. Merino, David Berube Jan 2025

Increasing Student Achievement In Ece Fundamentals Through Standards-Based Grading, Barbara E. Merino, David Berube

Electrical and Computer Engineering Faculty Works

In a traditional STEM course, student work is evaluated using points, allowing students to receive partial credit on the problems attempted. Final grades are then determined by combining the scores on the formative (homework) and summative (tests) assessments using a predetermined formula. In some cases, attendance, class participation, and lab work may factor in the final grade calculation. Although this works reasonably well, the final grade does not accurately reflect student knowledge. Standards-based Grading is a more authentic way to assess student achievement. In a course using authentic grading, course grades are based on student proficiency in specific topics,called standards. …

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Identification Of Π-Stacking Motifs In Naphthalene Diimides Via Solid-State Nmr, Jennifer E. Mejia, Hannah E. Butler-Au, Nalaya E. Thompson, Karcher D. Goodman, Elizabeth R. Zengel, Robert D. Pike, Jingdong Mao, Craig A. Bayse Jan 2025

Identification Of Π-Stacking Motifs In Naphthalene Diimides Via Solid-State Nmr, Jennifer E. Mejia, Hannah E. Butler-Au, Nalaya E. Thompson, Karcher D. Goodman, Elizabeth R. Zengel, Robert D. Pike, Jingdong Mao, Craig A. Bayse

Chemistry & Biochemistry Faculty Publications

Organic electronics, featuring π-conjugated small molecules and polymers, have gained significant attention for their potential in flexible, lightweight devices. However, characterization of the ordered, π-stacking domains within these materials using microscopy or X-ray diffraction (XRD) is challenging with complex systems or when crystallography is impractical. This study applied 1D ¹³C multiple cross-polarization magic angle spinning (multiCP/MAS) and 2D ¹H-¹³C heteronuclear correlation (HetCor) solid-state nuclear magnetic resonance (ssNMR) to systematically characterize π-stacking motifs in a series of N,N'-dialkyl naphthalene diimides (NDIs). These techniques were shown to distinguish between the electronic environments attributed to different π-stacking motifs adopted in these NDIs, such …

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Stack Bonding In Pentacene And Its Derivatives, Craig A. Bayse Jan 2025

Stack Bonding In Pentacene And Its Derivatives, Craig A. Bayse

Chemistry & Biochemistry Faculty Publications

Understanding the nature of π-stacking interactions is important to molecular recognition, self-assembly, and organic semiconductors. The stack bonding order (SBO) model of π-stacking has shown that the conformations of dimers occur when the combinations of monomer MOs are overall stack bonding in character. DFT calculations show that minima found on the potential energy surface for the π-stacked dimers of pentacene and perfluoropentacene occur when the dimer MOs are constructed from combinations of monomer MOs with an allowed SBO. An ex-amination of the MOs of π-stacked dimers extracted from X-ray structures of alkynyl derivatives like TIPS-pentacene pack at one or more …

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Design Of A Robust Adaptive Cascade Fractional-Order Nonlinear-Based Controller Enhanced Using Grey Wolf Optimization For High-Power Dc/Dc Dual Active Bridge Converter In Electric Vehicles, Seyyed Morteza Ghamari, Daryoush Habibi, Mehrdad Ghahramani, Asma Aziz Jan 2025

Design Of A Robust Adaptive Cascade Fractional-Order Nonlinear-Based Controller Enhanced Using Grey Wolf Optimization For High-Power Dc/Dc Dual Active Bridge Converter In Electric Vehicles, Seyyed Morteza Ghamari, Daryoush Habibi, Mehrdad Ghahramani, Asma Aziz

Research outputs 2022 to 2026

The dual active bridge (DAB) converter is a key technology in electric vehicles (EVs), offering efficient, bidirectional DC–DC power conversion with galvanic isolation. This paper presents a novel cascade control strategy incorporating a fractional-order PID (FOPID) controller in the outer loop for precise voltage regulation and an adaptive backstepping controller (ABSC) in the inner loop for robust current control. The ABSC is designed using Lyapunov stability theory, ensuring systematic stabilization of nonlinear dynamics and robust performance under disturbances. The FOPID controller introduces superior filtering characteristics, effectively mitigating high-frequency measurement noise and transient disturbances, making it highly suitable for high-frequency power …

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Assessing Techno-Economic Performance Of Synchronous Condensers And Static Synchronous Compensators In Renewable Energy-Integrated Weak-Grids Using Hedge Feedforward Feedback-Based Online Gated Recurrent Unit, Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, Mohammad A.S. Masoum Jan 2025

Assessing Techno-Economic Performance Of Synchronous Condensers And Static Synchronous Compensators In Renewable Energy-Integrated Weak-Grids Using Hedge Feedforward Feedback-Based Online Gated Recurrent Unit, Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, Mohammad A.S. Masoum

Research outputs 2022 to 2026

To achieve net-zero targets in many counties, renewable energy generators (REGs) are integrated with grids where less fault current is produced compared to synchronous generators. Accordingly, fault level availability, known as ‘system strength’, is reduced at point of coupling (POC) buses. A minimum system strength level is crucial for REGs to accurately detect and ride-through faults. To maintain adequate system strength in renewable energy-based weak grids, researchers and engineers have recommended supplementary devices, such as synchronous condensers (SynCons) or static synchronous compensators (STATCOMs), to provide the required fault-current. Because SynCons and STATCOMs are costly devices, their optimal sizes and placement …

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Beyond Assessment Security: A Critical Policy Analysis Of Four Alternative Strategies To Uphold Academic Integrity And Adopt The Genai Transformation Of Teaching And Learning For An Accredited Engineering Degree, Sasha Nikolic, Montserrat Ros, Yasir M. Al-Abdeli, Helen Fairweather Jan 2025

Beyond Assessment Security: A Critical Policy Analysis Of Four Alternative Strategies To Uphold Academic Integrity And Adopt The Genai Transformation Of Teaching And Learning For An Accredited Engineering Degree, Sasha Nikolic, Montserrat Ros, Yasir M. Al-Abdeli, Helen Fairweather

Research outputs 2022 to 2026

Generative Artificial Intelligence (GenAI), exemplified by tools such as ChatGPT, has posed significant challenges and opportunities in the realm of academic integrity, particularly in engineering education. This commentary critically examines alternative strategies that go beyond traditional assessment security, aiming to uphold academic integrity while embracing the transformative potential of GenAI in teaching and learning. In the context of programs that rely on unit level outcomes to determine the overall student progression (not the programmatic approach to progression), this study identifies and explores four strategies that may offer potential improvements to assessment security: I-risk-level analysis, which aligns the mix of supervised …

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Joint Channel Allocation And Power Control For Mission-Critical Applications In Sustainable Underwater Acoustic Networks, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi Jan 2025

Joint Channel Allocation And Power Control For Mission-Critical Applications In Sustainable Underwater Acoustic Networks, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi

Research outputs 2022 to 2026

Underwater Acoustic Networks (UANs) are gaining popularity for underwater communication due to their long-range capabilities. However, they experience significant challenges, including limited bandwidth and spectrum overlap with marine mammal vocalizations, which raises concerns about the sustainable and ethical use of underwater acoustic resources. This study proposes an eco-friendly approach that integrates joint channel allocation and power control to minimize harmful interference with marine life while ensuring reliable communication for mission-critical applications, such as diver safety. To balance marine protection and communication reliability, this work introduces a strategy for intelligent spectrum management, where nodes first sense the acoustic spectrum to detect …

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Data-Driven Insights For Optimizing Ev Charging Infrastructure: A Case Study On Efficiency And Utilization, Kazi Zehad Mostofa, Md Fokrul Islam, Mohammad Aminul Islam, Mohammad Khairul Basher, Tarek Abedin, Boon Kar Yap, Mohammad Nur-E-Alam Jan 2025

Data-Driven Insights For Optimizing Ev Charging Infrastructure: A Case Study On Efficiency And Utilization, Kazi Zehad Mostofa, Md Fokrul Islam, Mohammad Aminul Islam, Mohammad Khairul Basher, Tarek Abedin, Boon Kar Yap, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

The increasing global adoption of electric vehicles (EVs) has led to a growing demand for a cost-effective and reliable charging infrastructure. This study presents a novel data-driven approach to assessing EV station performance by analyzing power consumption efficiency, station utilization rates, no-power session occurrences, and CO2 reduction metrics. A dataset of 17,500 charging sessions from 305 stations across a regional network was analyzed to identify operational inefficiencies and opportunities for infrastructure optimization. Results indicate a strong correlation between station utilization and energy efficiency, highlighting the importance of strategic station placement. The findings also emphasize the impact of no-power sessions on …

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Modulation Techniques For Underwater Acoustic Communication: A Comprehensive Survey, Muhammad Haziq, Quoc Viet Phung, Stefan Lachowicz, Daryoush Habibi, Iftekhar Ahmad Jan 2025

Modulation Techniques For Underwater Acoustic Communication: A Comprehensive Survey, Muhammad Haziq, Quoc Viet Phung, Stefan Lachowicz, Daryoush Habibi, Iftekhar Ahmad

Research outputs 2022 to 2026

The underwater acoustic channel poses a significant challenge among communication mediums due to its time-varying dynamics, long multipath propagation, and severe Doppler shifts. Ensuring reliable data transmission under these conditions demands advanced modulation techniques, sophisticated signal processing algorithms, and high energy consumption. Moreover, underwater communication nodes typically have limited battery reserves, making them difficult and costly to replace or recharge. Additionally, as underwater communication networks expand, the risk of security threats that could compromise the system has increased, necessitating robust security measures that add further computational overhead. This comprehensive survey reviews the state-of-the-art modulation techniques for underwater acoustic communication, concentrating …

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Energy-Efficient Resource Allocation For Mission-Critical Applications In Underwater Acoustic Networks, Walid K. Hasan, Iftekhar Ahmad, Quoc Viet Phung, Yue Rong, Haitham Khaled, Daryoush Habibi Jan 2025

Energy-Efficient Resource Allocation For Mission-Critical Applications In Underwater Acoustic Networks, Walid K. Hasan, Iftekhar Ahmad, Quoc Viet Phung, Yue Rong, Haitham Khaled, Daryoush Habibi

Research outputs 2022 to 2026

The Internet of Underwater Things (IoUT) has emerged as a vital technological domain, significantly advancing underwater exploration and communication capabilities. At the core of this paradigm is Underwater Acoustic Communication (UAC), which acts as the primary medium for data transmission in underwater environments, including environmental monitoring, security and surveillance, and underwater exploration. Despite its significance, UAC systems face inherent challenges such as limited bandwidth, high signal attenuation, and long propagation delays. These limitations become particularly significant in mission-critical maritime operations, such as warning systems, underwater navigation and control, and diver safety or emergency communications, where timely and reliable data transmission …

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Green Solutions In Energy: Polylactic Acid (Pla) And Additive Manufacturing For Solar E-Hub Applications, Md Helal Uddin, Abreeza Manap, Boon Kar Yap, Prajindra Sankar Krishnan, Md Rokonuzzaman, Mohammad Nur-E-Alam, Tiong Sieh Kiong, Nowshad Amin Jan 2025

Green Solutions In Energy: Polylactic Acid (Pla) And Additive Manufacturing For Solar E-Hub Applications, Md Helal Uddin, Abreeza Manap, Boon Kar Yap, Prajindra Sankar Krishnan, Md Rokonuzzaman, Mohammad Nur-E-Alam, Tiong Sieh Kiong, Nowshad Amin

Research outputs 2022 to 2026

The emergence of additive manufacturing (AM) technologies has revolutionized design and production processes, offering new opportunities to enhance materials and optimize configurations across diverse industries, including renewable energy. This research focuses on the design and fabrication of a solar energy harvesting module (solar e-hub) using Polylactic Acid (PLA) material in AM techniques for 100-watt applications. In Malaysia, there is an increasing demand for energy adapted to small-scale and off-grid applications, particularly in rural areas where solar energy is readily available. Solar energy storage devices are crucial for these communities, as well as for campers and a reliable power source in …

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Forecasting Data-Driven System Strength Level For Inverter-Based Resources-Integrated Weak Grid Systems Using Multi-Objective Machine Learning Algorithms, Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, Mohammad A.S. Masoum Jan 2025

Forecasting Data-Driven System Strength Level For Inverter-Based Resources-Integrated Weak Grid Systems Using Multi-Objective Machine Learning Algorithms, Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, Mohammad A.S. Masoum

Research outputs 2022 to 2026

Shortage of grid-fault level, known as system strength inadequacy, impacts on grid instability and can lead to blackouts. System strength is generally measured by short circuit ratio index at point of coupling (POC) of inverter-based resources (IBRs) and the grid system. Nowadays, accurate knowledge of system strength forecasting for ‘next day’ to ‘next week’ duration is essential to power system operators, owing to the higher-growth of IBRs. However, releavant publications about this subject remain limited when compared with load demand, active and reactive power prediction. Therefore, a data-driven system strength forecasting scheme is presented in this paper to surmount these …

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Characterization, Optimization, And Performance Evaluation Of Pcm With Al2o3 And Zno Hybrid Nanoparticles For Photovoltaic Thermal Energy Storage, Md Golam Kibria, Utpol K. Paul, Md Shahriar Mohtasim, Barun K. Das, N. N. Mustafi Jan 2025

Characterization, Optimization, And Performance Evaluation Of Pcm With Al2o3 And Zno Hybrid Nanoparticles For Photovoltaic Thermal Energy Storage, Md Golam Kibria, Utpol K. Paul, Md Shahriar Mohtasim, Barun K. Das, N. N. Mustafi

Research outputs 2022 to 2026

The electrical efficiency of the photovoltaic (PV) panel is affected significantly with increased cell temperature. Among various approaches, the use of Phase Change Materials (PCMs) with nanoparticles is currently one of the most effective for reducing and managing the temperature of PV panels. In this study, paraffin wax as PCM with different loading levels (0.5 %, 1 %, and 2 %) of hybrid nanoparticles Al2O3 and ZnO were successfully synthesized and their effects on the performance of the Photovoltaic-Thermal (PVT) system were investigated experimentally. Additionally, a prediction model was developed to analyze the interaction between the operating factors (independent variable) …

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