Engineering Commons^™

Thermal Performance Variations Of Office Spaces In Educational Buildings Resulting From Façade Orientation: An Egyptian Case Stud, Hesham Safwat, Ahmad Elshamy, Rania Rushdy Moussa, Iman El-Mahallawi El-Mahallawi, Engy Elshazly, Mahmoud Mahmoudalghrieb

Mechanical Engineering

This paper investigates the thermal performance of an office floor within the Faculty of Engineering at the British University in Egypt (BUE), located in Cairo, a city characterized by a hot arid climate. The study focuses on understanding the building’s thermal behavior by comparing two identical office rooms: Room 212 (north-facing) and Room 201 (south facing). Utilizing dynamic thermal simulations with TRNSYS 18 for a full year, the research specifically analyzes the impact of these opposite orientations on indoor space temperature, total cooling loads, the monthly heat absorbed by various building surfaces, and the heat absorbed per unit area for …

Overcoming Variable Illumination In Photovoltaic Snow Monitoring: A Real-Time Robust Drone-Based Deep Learning Approach, Amna Mazen, Ashraf Saleem, Kamyab Yazdipaz, Ana Dyreson

Michigan Tech Publications

Snow accumulation on photovoltaic (PV) panels can cause significant energy losses in cold climates. While drone-based monitoring offers a scalable solution, real-world challenges like varying illumination can hinder accurate snow detection. We previously developed a YOLO-based drone system for snow coverage detection using a Fixed Thresholding segmentation method to discriminate snow from the solar panel; however, it struggled in challenging lighting conditions. This work addresses those limitations by presenting a reliable drone-based system to accurately estimate the Snow Coverage Percentage (SCP) over PV panels. The system combines a lightweight YOLOv11n-seg deep learning model for panel detection with an adaptive image …

Robust Fault Detection And Classification In Power Systems Via Physics-Informed And Data-Driven Learning, Biswash Basnet, Varsha Sen

Graduate Student Scholarship

Electrical faults in power transmission systems can severely affect grid stability, equipment safety, and operational reliability. Traditional protection schemes, particularly distance relays, depend on apparent impedance computation that changes with error, creating a risk of misclassification. The results from relay overreach, underreach, or complete maloperation due to CT/PT saturation lead to developing problems in high impedance situations. These limitations highlight the need for adaptive, data-driven alternatives. This paper proposes an intelligent fault detection and classification model based on supervised machine learning techniques that overcome these challenges. The system’s robustness was validated under different training sizes and Gaussian noise levels, demonstrating …

Performance Of A Two-Body Wave Energy Converter With An Annular Heave Plate, Raj Tamakuwala, Muhammad Usman, Nathan Tom, Hassan Masoud

Michigan Tech Publications

We theoretically examine the performance of a two-body wave energy converter (WEC) featuring a floating sphere and a submerged annular heave plate, connected by a power take-off (PTO) system. Utilising linear wave theory, we derive the system's frequency-domain response to regular plane waves and analyse the impact of varying disk porosity on power generation. Our results suggest that annular disks can enhance power extraction efficiency in various cases compared with solid heave plates. Additionally, permeable plates can broaden operational conditions by reducing oscillation amplitudes and decreasing the mechanical strain on the PTO system without substantially compromising the power conversion efficiency. …

Investigation Of Micronized Rubber Powder As An Alternative To Polymer Modifiers In Asphalt Pavement, Md Torikul Islam

Student Theses and Dissertations

Researchers have increasingly focused on polymer additives to enhance asphalt pavement performance. Crumb rubber (CR), derived from waste vehicle tires, has emerged as a potential modifier. This study investigates Micronized Rubber Powder (MRP), smaller than 75 μm, as an alternative to polymer modifiers. A PG 64-22 binder was modified with 5%, 10%, and 15% MRP (by weight), and the properties were compared with those of an SBS-modified PG 70-22 binder. Physical, mechanical, and chemical properties were assessed. The results indicated that MRP significantly increased viscosity and required higher processing temperatures. MRP-modified binders demonstrated improved rutting resistance, creep recovery, high-temperature performance, …

Designing A Hybrid Renewable Energy System For The College Of Engineering And Computer Science At Arkansas State University, Partho Das Neer

Student Theses and Dissertations

The main objective of this thesis is to design and analyze the performance of a hybrid renewable energy systems (HRES) for the college of engineering and computer science at Arkansas State University. By implementing the framework as a micro-grid to supply the required power to the Lab Science West building of the college. The proposed model ensures energy reliability and cost reduction. The model consists of photovoltaic (PV) panels, wind turbines (WT), and batteries, whereas MATLAB software was used to design the system and the Electrical Transient Analyzer Program (ETAP) Software is utilized to analyze the effectiveness of the operation …

09.22.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Ralph E. Powe Junior Faculty Enhancement Award
• MIG Application Opportunity
• 10th Annual Advancing MS Conference

Heat Transfer Enhancement In Cold Plate Heat Exchangers With Trapezoidal Vortex Generators, Montgomery Miller

Student Theses and Dissertations

An experimental investigation was carried out to study the effects of trapezoidal vortex generators (VGs) as a method of thermal enhancement within cold plate heat exchangers. Three different cold plates were imbedded with VGs in the bottom of the flow passage of varying sizes (h/H = 0.195, 0.253, 0.36) and quantity, as well as a cold plate with no VGs to be used as a comparative baseline. Testing was conducted under the laminar, transitional, and turbulent flow regime (Re = 1000 to 5500) using distilled water as the coolant. Experimental results indicate that the addition of VGs provide a positive …

Development Of An Instrumented Test System To Evaluate Mechanical Characteristics Of Belted Conveyor Systems, Coleman Emerson Wilson

Student Theses and Dissertations

The use of conveyor systems within industrial and warehouse settings gives the ability for increased productivity and increased speed of moving objects. As in many settings, the use of these conveyor systems requires large amounts of continuous runtime, and the ability to save even small amounts of energy over a large period can create large improvements in the total overhead cost of running the facility. Research into the ability to characterize the components within a conveyor system gives the ability to identify sources of large amounts of wasted energy and quantify these losses. There is a need to quantify the …

Comparative Analysis Of Belt-Slider Pan Configurations On The Power Consumption Of Belted Conveyor Systems, Asib Ridwan

Student Theses and Dissertations

Conveyor systems are widely used in industrial applications for material handling, but their high energy consumption remains a significant challenge. This study investigated the influence of different belt-slider pan configurations on conveyor power consumption, aiming to optimize efficiency while minimizing energy losses. Three types of slider pans; mild steel, galvanized steel, and powder-coated steel, were analyzed under controlled experimental conditions to determine the motor torque and power consumption of a test conveyor system under various loading conditions. Torque and power values were derived, plotted, and comparatively analyzed across all configurations to determine performance differences. Static friction coefficients of each type …

Designing For Shalom: Deepening Faith Integration In Engineering And Technology, Fred Haan

University Faculty Publications and Creative Works

Presented on 9/22/2025 at the event, Integration of Faith and Learning in the Disciplines at the University Pelita Harapan in Jakarta, Indonesia

Global Transport Emissions 1850–2020: Historical Drivers And Lessons For Transport Decarbonization, Bernardo Tostes, Sofia T. Henriques, Matthew Kuperus Heun, Paul E. Brockway, Tânia Sousa

University Faculty Publications and Creative Works

This study analyzes global transport CO2 emissions from 1850 to 2020 using the LMDI method, offering, for the first time, a decomposition over such a long timespan and global scope. Emissions are split into technological and demand-related drivers using a new dataset. Transport efficiency is divided into final-to-useful efficiency and useful energy intensity, a novel distinction. Key findings include: (1) efficiency improvements avoided 9067 Gt CO2 by 2019, with peak impacts in 1950–1973 (-1.62 %/yr) and 2008–2020 (-3.63 %/yr), respectively; (2) these gains were insufficient to counter rising demand, which led to 8252 Gt CO2 in cumulative emissions; (3) demand …

Engineering And Technology, Fred Haan

University Faculty Publications and Creative Works

9/21/2025 for the event, Integration of Faith and Learning, at University Pelita Harapan in Jakarta, Indonesia

Comparative Study For Channel Pairing In Noma Ofdm- Cdma System, Hazem H. El-Banna, Nelly M. Shafik

Mansoura Engineering Journal

Orthogonal Multiple Access such as OFDM technique became inadequate scheme since it provides limited spectral efficiency and limited number of users. In addition to Orthogonal Multiple Access (OMA), Non-Orthogonal Multiple Access (NOMA) technique is applied in 5th generation of mobile communications that enhances both spectral efficiency and capacity with high Quality of Service (QoS). In this paper, three techniques were combined NOMA, OFDM, and CDMA in order to have optimal system performance in the presence of worst fading channel situations; fast frequency selective Rayleigh multi-path fading channel. The main contribution of this paper is the novel channel pairing technique introduced …

An Estimation Study Of The Co2 Emissions In Saudi Arabia Using Machine Learning, Mohammed A. Albalawi, M.M. El-Halwany, Mahmoud H. Mahmoud, Mohamed Gar Alalm

Mansoura Engineering Journal

As part of the 2015 Paris Climate Agreement, the Kingdom of Saudi Arabia (KSA) pledged to implement policies aimed at reducing greenhouse gas emissions. The 2030 Vision, which KSA unveiled with the goal of building a more sustainable and diverse economy, led to a number of projects, such as the national renewable energy program, the Saudi green initiative, and the circular carbon economy. Additionally, KSA just revealed a bold plan to achieve net-zero status by 2060. The Kingdom pledged to cut its carbon emissions by 278 million tons of CO2eq (equivalent) yearly by 2030 in its revised nationally determined contribution …

An Improved Method To Calculate Stripping Inflection Point (Sip) And Its Application In Evaluating Moisture Susceptibility Of Asphalt Mixtures, Ping Jiang, Bo Lin, Yizhuang David Wang, Jenny Liu, Seyed Alireza Ghanoon

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Accurately assessing asphalt mixtures' moisture susceptibility is critical because moisture damage can significantly reduce pavement durability, leading to premature failure and structural integrity of the pavement. The stripping inflection point (SIP), a moisture susceptibility index derived from the Hamburg Wheel Track (HWT) test, has practical merits in evaluating moisture susceptibility. However, current methods for determining the SIP showed low accuracy and high variability due to poor regression quality. Hence, this study aims to propose an improved method for calculating the SIP by modifying existing approaches to better capture the characteristics of rutting curves. Typical asphalt mixtures were used to conduct …

An Event-Based Time-Incremented Snn Architecture Supporting Energy-Efficient Device Classification, David L. Weathers, Michael A. Temple, Brett J. Borghetti

Faculty Publications

Recent advances in Radio Frequency (RF)-based device classification have shown promise in enabling secure and efficient wireless communications. However, the energy efficiency and low-latency processing capabilities of neuromorphic computing have yet to be fully leveraged in this domain. This paper is a first step toward enabling an end-to-end neuromorphic system for RF device classification, specifically supporting development of a neuromorphic classifier that enforces temporal causality without requiring non-neuromorphic classifier pre-training. This Spiking Neural Network (SNN) classifier streamlines the development of an end-to-end neuromorphic device classification system, further expanding the energy efficiency gains of neuromorphic processing to the realm of RF …

Advanced Microstructured Batio3-Embedded Pvdf–Hfp/Peo Film For Enhanced Triboelectric Interface In Self-Sufficient Energy Generation And Sensing, Rigobert Ybarra, Diego De Leon, Michael Moreno, Cesar Sanchez, Fernando Viesca, Kevin Alejandro, Shishir Timilsena, Nicholas Dimakis, Joseph H. Dumont, Tommy Rockward, Tarik J. Dickens, Md. Wasikur Rahman, Mohammed Jasim Uddin

Mechanical Engineering Faculty Publications

The global reliance on fossil fuels and natural gas has largely dominated the energy production field, but due to finite resource depletion and escalating greenhouse gas emissions, the immediate exploration of sustainable energy alternatives to mitigate climate change and ensure resource security has been a major concern. There has been extensive research into other more renewable methods of energy production, such as wind and hydropower. Of these current energy generation types, there are many areas of untapped potential from the mechanical movements generated ambiently not only in the large scale of power generation but also on a smaller scale. The …

Analysis Of Modifications To An Outdoor Field-Scale Rotating Algal Biofilm Reactor With A Focus On Biomass Productivity And Power Usage, Davis R. Haag, Phillip E. Heck, Ronald C. Sims

Biological Engineering Student Research

Filtrate from dewatering anaerobically digested biosolids is a side-stream of wastewater treatment that contains high concentrations of nitrogen and phosphorus compounds that can serve as nutrients for cultivating microalgae biomass as biofilms for bioproduct production at Water Resource Recovery Facilities (WRRFs). One system used to cultivate attached microalgae biofilms is the rotating algal biofilm reactor (RABR). A pilot RABR with 72 m² growth surface area, 11.5 m² footprint area, and a liquid volume of 11,500 L was operated in an outdoor environment at the largest WRRF in Utah, U.S.A, the Central Valley Water Reclamation Facility (CVWRF). The configuration …

Unified Study Of The Classical Hall Effect, Carter J. Reed, Javier E. Hasbun, Wyatt E. Ackerman, L Ajith Desilva

Georgia Journal of Science

Germanium (Ge) samples with different doping types, acceptors (p-type) and donors (n-type), were studied to investigate charge carrier behavior. Carrier concentrations were found to be 1.16×10^21 m^(-3) for the p-type sample and 7.337×10^20 m^(-3) for the n-type sample. These experiments were conducted for the standard Hall effect (Hall voltage versus low magnetic field (B) values) as well as conductivity and Hall voltage versus temperature for different B-fields. The measurements versus temperature at zero-field allow us to obtain band gap ( Eg). While we investigate the conductivities for n-type and p-type doped samples, we also study the conductivity of an undoped …

Optimization Of Multi-Target Interception Scheme Based On Performance Simulation Modeling, Hanwen Liu, Zhimin Zhuo, Xue Yang

Journal of System Simulation

Abstract: The air attack scenarios faced by air defense weapons and equipment show the trend of saturation, diversification and intelligence. It is very important to establish multi-target interception efficiency model and optimize interception scheme according to simulation. The current intercepting efficiency index mainly considers the whole operation process, and can not guide the optimization of the intercepting scheme of specific intercepting rounds. The generation of interception schemes mainly relies on experience and simple mathematical model, which is difficult to cope with the increasingly complex and changeable battlefield environment. Therefore, an interception scheme advantage index that comprehensively considers interception probability and …

Algorithm Simulation Of Multi-Targets Track Correlation Based On Spectral Feature, Zhenping Ding, Huidong Guo

Journal of System Simulation

Abstract: In order to solve the problems of multi-targets track correlation in dense scenes, a method of track sequential real-time processing for multi-source track correlation system modeling is proposed. By calculating the absolute and relative position of the spectral features, the unified correlation matrix can be defined based on fuzzy decision theory, and the multi-target track correlation can be realized. Numerical simulations have shown the effectiveness of the track correlation algorithm on the basis of spectral features. Especially, the accuracy of correlation is much larger than that of the nearest-neighbor distance algorithm under the condition of dense target environment …

Second-Order Cone Optimization Modeling And Simulation For Three-Phase Unbalanced Active Distribution Networks, Yiran Zhao, Yong Xue, Haoxin Tian, Ruixin Zhang, Zhi Zhang, Yanbo Chen

Journal of System Simulation

Abstract: Guided by the carbon peaking and carbon neutrality goals, and propelled by the development of new type power systems, the significance of distribution networks as key energy infrastructure has been increasingly underscored. Amidst the burgeoning rise of distributed photovoltaics, electric vehicles, and novel energy storage technologies, distribution networks are transitioning from passive entities to active systems capable of bidirectional interaction, heralding the advent of active distribution networks with a critical mission. This research tackles the optimal power flow issue in three-phase unbalanced active distribution networks, incorporating inter-phase coupling relationships. By employing dimensionality lifting and rank relaxation, along with the …

Design And Prediction Of Deep Fuzzy Neural Network, Chengbiao Wei, Taoyan Zhao, Jiangtao Cao, Ping Li

Journal of System Simulation

Abstract: A deep fuzzy neural network (DFNN) is proposed to solve the problem that the deep neural network has poor interpretability and the correction of the model is not targeted when dealing with the big data regression prediction problem. The proposed deep fuzzy neural network adopts an adaptive fuzzy Cmeans (AFCM) clustering algorithm in structural learning. The structure of the model, namely the number of rules and the antecedent parameters of the rules, is determined by calculating the introduced validity function. The identification of consequent parameters uses an improved grey wolf optimization (IGWO) algorithm. By replacing the linear decreasing strategy …

Research On Real-Time Cgf Maneuvering State Generation Method Based On Random Finite Set, Xiaoyan Zhang, Ge Li, Peng Wang

Journal of System Simulation

Abstract: With the rapid development of sensor networks and other technologies, the acquisition of measurement data in the real physical space has become easier. How to utilize the measurement data from the real battlefield space to improve the accuracy and credibility of CGF simulation is the key issue to realize the CGF simulation combining virtual and real. The method is studied of using real measurement data to generate CGF model maneuvering state data in real time, in order to realize the virtual-real synchronization and real-time mapping between the real battlefield and CGF simulation system, and to provide environmental inputs for …

Kill Chain Efficiency Evaluation Model Based On Gray Dematel-Anp, Zejing Zhao, Junliang Shang, Yanpei Qin

Journal of System Simulation

Abstract: In modern conflict scenarios, the kill chain is integral to the comprehensive understanding, orchestration, and execution of military operations. Accurately appraising the efficiency of the kill chain is imperative for gaining insights into battle dynamics and strategically distributing military assets. However, traditional assessments of kill chain efficacy have been hampered by fragmented and isolated indicators that frequently overlook the interplay and influence among various segments of the kill chain. To address these limitations, based on the characteristics of each phase of the kill chain and the OODA loop theory, a new set of performance evaluation indices has been proposed. …

Benefit Distribution Optimization Model And Simulation For Multi-Mode Operation Of Industrial Software Platforms, Rongyu Guo, Xiaobin Li, Pei Jiang, Chuanjiang Li, Shanhui Liu, Jun Ma

Journal of System Simulation

Abstract: Industrial software service platforms, characterized by low-cost investment, customized services, and rapid application deployment, have been widely adopted in small and medium-sized industrial clusters. The benefit distribution mechanism under multi-mode operation is crucial to the sustainable development of such platforms. To address the current challenges of single-operation models and the difficulty in adapting to diverse service scenarios, this study focuses on two core stakeholders that users and software developers to analyze the core service components and cooperation mechanisms of industrial software service platforms in a multi-mode operational environment. By integrating the function point method, a multi-mode user demand quantification …

Optimization Method For Multi Agricultural Machinery Collaborative Operation Based On Genetic Algorithm And A* Algorithm, Yiran Yu, Huicheng Lai, Guxue Gao, Guo Zhang, Wangyinan Peng, Longfei Yang, Junhao Huang

Journal of System Simulation

Abstract: To address the uneven task distribution among multiple agricultural machines (referred to as farm machinery) and the high time cost due to numerous turning points at intersections, this paper proposes a task planning method that combines a pre-heat multi grouped genetic algorithm (PHMGA) with the turn A* algorithm (tA*). PHMGA allocates tasks to each piece of farm machinery based on the known environment, ensuring balanced workload through a cost objective function that considers travel, operation, and turning distances. It also designs various operators and strategies to search for nearoptimal solutions. The tA* algorithm is used to select paths …

Research On The Truth, Function And Common Principles Of Simulation, Haohua Xu, Bin Xiao, Yunhao Cui

Journal of System Simulation

Abstract: Simulation applications are becoming increasingly widespread and have a greater impact, while the theoretical foundation of simulation is relatively weak. This article provides a new definition of simulation by analyzing the common activities of simulation, which can include both virtual and real simulation forms; referring to Popper's three worlds theory, this paper discusses the objective authenticity of simulation from a philosophical perspective; From a methodological perspective, this paper elaborates on the methodological characteristics of simulation as an indirect cognitive object, revealing its significance in integrating human-machine intelligence and promoting knowledge evolution. It also discusses the common principles of simulation, …

A Model Combining Self-Attention And Weight Sharing For Human Activity Recognition, Lun Ma, Yue Yang, Daihe Wang, Guisheng Liao, Xing Li

Journal of System Simulation

Abstract: With the prevalence of wearable devices, human activity recognition based on wearable sensor data has garnered significant attention. The central issue in this field is how to extract effective behavioral information from raw sensor data to form corresponding feature vectors. Currently, convolutional neural networks and recurrent neural networks have been widely utilized for feature extraction from multisensory data. However, these networks struggle to globally capture the crucial temporal features inherent of human activity over time. To address this, a multi-CNN-BiLSTM-self attention (Multi-CBSA) model based on self-attention and weight sharing has been proposed, taking into consideration the logical correlations among …