Engineering Commons^™

A Review Of Performance Assessment Of Solar-Driven Absorption Chillers Incorporated With Energy Storage Systems, A. Khalil, Mohamed Abdelgaied, May Abdelsalam

Journal of Engineering Research

Abstract- This study evaluates the performance of a solar

collector absorption chiller combined with Phase Change Material (PCM) energy storage devices. Solar energy is used for energy-efficient cooling, and PCM storage improves

efficiency by capturing surplus thermal energy during

abundant solar radiation and releasing it when insufficient. The research assesses performance measures like

COP, energy storage capacity, and overall system efficiency.

Assessment Of Physical And Ergonomic Hazards And Their Compliance With National Standards. A Case Study, Amira Abdelraheem

Journal of Engineering Research

Occupational hazards are a significant concern in high-risk environments such as petroleum operating companies, where workers are exposed to various risks, including chemical, physical, mechanical, ergonomic, and psychosocial factors. Effective management of these hazards is essential to protect the health and safety of employees and maintain operational efficiency. This study aims to assess physical hazards including a-weighted equivalent noise levels, heat stress, Lightning and Ergonomics in a petroleum operating company in Egypt, and to check its conformity with national standards. Physical environment (Noise, heat stress and illumination) in different worksites were assessed using calibrated direct reading instruments to evaluate the …

Investigating The Structure-Property Correlations Of Pyrolyzed Phenolic Resin As A Function Of Degree Of Carbonization, Ivan Gallegos, Vikas Varshney, Josh Kemppainen, Gregory Odegard

Michigan Tech Publications

Carbon-carbon (C/C) composites are attractive materials for high-speed flights and terrestrial atmospheric reentry applications due to their insulating thermal properties, thermal resistance, and high strength-to-weight ratio. It is important to understand the evolving structure-property correlations in these materials during pyrolysis, but the extreme laboratory conditions required to produce C/C composites make it difficult to quantify the properties in situ. This work presents an atomistic modeling methodology to pyrolyze a crosslinked phenolic resin network and track the evolving thermomechanical properties of the skeletal matrix during simulated pyrolysis. First, the crosslinked resin is pyrolyzed and the resulting char yield and mass density …

An Ultra-Low-Power 0.8 V, 60 Nw Temperature Sensor For Battery-Less Wireless Sensor Networks, Fnu Naveed, Jeff Dix

Electrical Engineering and Computer Science Faculty Publications and Presentations

This work presents a nano-watt digital output temperature sensor featuring a supply-insensitive, self-biased current source. Second-order temperature dependencies of the MOS diode are canceled to produce a stable reference and a linear temperature-sensitive voltage. The sensor integrates a sensing unit, voltage-controlled differential ring oscillators, and a low-power frequency-to-digital converter, utilizing a resistor-less design to minimize power and area. The delay element in the ring oscillator reduces stage count, improving noise performance and compactness. Fabricated in 65 nm CMOS, the sensor occupies 0.02 mm2 and consumes 60 nW at 25 °C and 0.8 V. Measurements show an inaccuracy of +1.5/−1.6 °C …

An Integrated Approach To Enhance The Performance Of Rainfall Forecasting By Leveraging Stacking Based Machine Learning And Deep Learning Techniques, Umamaheswari P

Theses and Dissertations

Rainfall forecasting is critical for a variety of reasons, the most important of which is the substantial impact it has on many sectors of the community and the environment. It helps farmers with planting schedules, crop choices and irrigation techniques, all of which directly impact food production and agricultural yields. Rainfall forecasting is also vital in sectors such as hydroelectric power generation, since knowledge about water availability is essential for electricity generation. Accurate rainfall forecasts play very important roles in disaster planning and flood control. They enable authorities to take precautionary measures and, where necessary, plan for the evacuation of …

A Structural Evaluation And Design Optimization Of A Tow Bar For Disabled Snowmobiles, David M. Pevic

Masters Theses

Snowmobile tow bars are devices used to rigidly connect two snowmobiles, such that a disabled snowmobile can be recovered from a remote location with a working snowmobile. These devices, however, are not widely used or readily available. An existing tow bar design was evaluated and redesigned to improve its structural capacity and performance. This evaluation provided a baseline to quantify improvement and included Finite Element Analysis (FEA), Design Failure Mode and Effect Analysis (DFMEA), and Design for Assembly analysis (DFA). A review of existing snowmobile tow bar patents was also performed. An updated design was then fabricated and similarly evaluated. …

Sentiment Analysis For Stock Market Prediction Using Machine Learning Techniques, Rajendiran P

Theses and Dissertations

Sentiment analysis has become one of the most important procedures to predict the stock market behaviour according to the customer reviews about a particular topic such as news, movie, event, and remarks related to the product. Due to the huge number of reviews generated from the customer, for analyzing information in an accurate manner. In order to detect general view of product, sentiment analysis technique is performed. Lately, the majority of research works is designed for Sentiment analysis by application of an organization and ranking techniques. But it suffers less exactness of the accurate classification of the customer reviews.

The …

State-Of-Charge Estimation Using Deep Learning For Electric Vehicles, Samer Yahya Ribhe Tahboub

LSU Master's Theses

This thesis investigates the application of deep learning models for State of Charge (SOC) estimation in Battery Management Systems (BMS) for electric vehicles (EVs), focusing on optimizing EV range, lifespan, and performance while addressing challenges like range anxiety. The study explores three deep learning architectures—Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and Gated Recurrent Unit (GRU)—each designed to capture complex temporal dependencies in battery data. The LSTM model is trained on EV battery data, including voltage, current, temperature, and SOC, providing a strong baseline for SOC estimation. The BiLSTM model enhances accuracy by processing data in both forward and backward …

Turbulent Structures In Coupled Wind-Wave Flows, Cerrina Mouchref

Dissertations and Theses

The interactions between wind and waves in offshore environments are complex and have yet to be fully understood. Analyzing these interactions is motivated by an increased interest in climate modeling and the deployment of offshore construction, such as offshore wind farms. In this study, experiments are performed in a wind tunnel using particle image velocimetry (PIV) to analyze wind-wave interactions over various wave and wind speeds. The addition of the wave, a moving boundary, leads to the use of Reynolds triple decomposition in order to separate the turbulent and wave-phase coherent fluctuations. A curvilinear coordinate system was used to analyze …

A Survey On Food Ingredient Substitutions, Hyunwook Kim, Revathy Venkataramanan, Amit P. Sheth

Publications

Diet plays a crucial role in managing chronic conditions and overall well-being. As people become more selective about their food choices, finding recipes that meet dietary needs is important. Ingredient substitution is key to adapting recipes for dietary restrictions, allergies, and availability constraints. However, identifying suitable substitutions is challenging as it requires analyzing the flavor, functionality, and health suitability of ingredients. With the advancement of AI, researchers have explored computational approaches to address ingredient substitution. This survey paper provides a comprehensive overview of the research in this area, focusing on five key aspects: (i) datasets and data sources used to …

Enhancing Accuracy In Predicting Continuous Values Through Regression, Ahmed Aljuboori, M. M. A. Abdulrazzq

Iraqi Journal for Computer Science and Mathematics

Enhancing the accuracy in predicting continuous values remains a significant challenge, especially when dealing with imbalanced data and choosing appropriate models. Regression techniques are widely used in data mining, and machine learning fields for this purpose. However, the traditional algorithms struggle to achieve high accuracy because of the limitations in dealing with complex data and imbalanced distribution. This study addresses these gaps by proposing a new framework that evaluates multiple regression models using the Boston House Pricing Dataset (BHD). The examined models involve simple linear, multiple linear, Polynomial, Lasso, Ridge, Random Forest, Keras and Gradient Boosting regression. The models are …

Origami Without Paper: Surrogate Folds For Origami-Inspired Mechanisms, Ivyann Oveson Running

Theses and Dissertations

Origami is a useful tool for generating novel spatial mechanisms that can address needs in a variety of fields. However, replicating paper folding in other materials requires surrogate folds---some way to approximate folding in otherwise rigid materials. This work presents a collection of potential surrogate fold designs suitable for use in origami-inspired applications. The designs are sorted into families and rated against several design characteristics of interest to engineers and designers to create the Surrogate Fold Catalog. The catalog is formatted to be searchable and filterable based on manufacturability, kinematic motion, and additional utility. Using this collection of surrogate folds …

Interfaces Gráficas Y Género: Impacto En Discursos Normativos, Marco V. Ferruzca, Paulo C. Portilla, Juan Villegas, Román A. Mora

GDI. Revista de investigación de Género, Diseño e Innovación

El diseño de interfaces gráficas de usuario generalmente considera una reflexión sobre propiedades vinculadas a aspectos visuales como el color, las imágenes, la tipografía, etc. Asimismo, algunos aspectos del usuario se ponen también a consideración como su edad, cultura, experiencia, género, entre otros. Sin embargo, la noción de género sólo se reduce a un binarismo para definir si la interfaz gráfica encaja en la categoría mujer u hombre. Muy pocos investigadores se han detenido a profundizar en el discurso heteronormativo que puede desprenderse de la interpretación de significado de una interfaz gráfica como consecuencia de la interrelación entre usuariogénerocomputadora. El …

Perspectiva De Género En La Animación: Desafíos Y Logros En La Industria, Carmen Pérez González, Luis Mayo Vega

GDI. Revista de investigación de Género, Diseño e Innovación

La perspectiva de género en la industria de la animación se centra en los desafíos y logros que enfrentan las mujeres en este campo. Se identifican los principales obstáculos que afrontan las directoras de animación, evidenciando un aumento en la representación femenina a lo largo de los años, aunque aún lejos de alcanzar la igualdad. Se destaca la importancia de incluir voces femeninas en la investigación académica para promover una representación equitativa. La metodología analiza informes recientes que evalúan la participación de mujeres en la industria y se recopilan recomendaciones de directoras destacadas para fomentar la equidad de género. Los …

Mitigating The Impacts Of Future Climate Change On Urban Infrastructure In Alabama Through Updating Precipitation Intensity-Duration-Frequency (Idf) Curves, Kofi Ntow Opare

All ETDs from UAB

Climate change is set to profoundly impact urban infrastructure, causing increased flooding and storm damage, necessitating the reevaluation and adaptation of design methodologies to account for increasing precipitation extremes. This dissertation aims to enhance the resilience of urban infrastructure in Alabama by updating Precipitation Intensity-Duration-Frequency (IDF) curves, which are crucial for designing stormwater management systems, drainage networks, and flood control structures. Traditional IDF curves, derived from historical rainfall data, operate under the assumption of stationarity, an assumption increasingly invalidated by climate change. This research employs the Generalized Extreme Value (GEV) distribution and compares the efficacy of L-moments and Generalized Maximum …

Processing, Testing, Failure Analysis, And Modeling Of Elementary Natural Fiber-Reinforced Composites, Shuo Sun

All ETDs from UAB

Natural fiber reinforced composites have garnered significant interest as potential substitutes for conventional materials because of their eco-friendly attributes and favorable physical and mechanical properties. Typically, natural fibers undergo chemical treatments to enhance their compatibility with the polymer matrix prior to composite production. However, these treatments primarily affect the surface of the fiber bundles and have a limited impact on the inner elementary fibers within the bundle. This research work introduced a mechanical treatment method for hemp fiber by using an elevated temperature aqueous condition and mechanical force, which broke down the technical fiber bundles into elementary fibers and created …

Optimizing An Integrated Hybrid Energy System With Hydrogen-Based Storage To Develop An Off-Grid Green Community For Sustainable Development In Bangladesh, Asif Jaman, Rafid Al Mahmud, Barun K. Das, Mohammad Shahed H.K. Tushar

Research outputs 2022 to 2026

An integrated renewable system that utilizes solid waste-based biogas is important steps towards the sustainable energy solutions to rural off-grid communities in Bangladesh. In this study, a hybrid energy system consisting of photovoltaic modules, wind turbines, biogas generators, fuel cells, and electrolyzer-hydrogen tank-based energy storage is optimized using non-dominated sorting genetic algorithm (NSGA-II). The hybrid system is optimized based on the cost of energy and human health damage as objective functions, and a fuzzy decision-making technique is employed to determine the optimal solution to the multi-objective approach. Additionally, several economic, ecological, and social indicators are also investigated while meeting a …

Infinitesimal Elements In Cartesian, Cylindrical And Spherical Coordinate Systems, Ashanthi Maxworth Phd

EM Fields With Prof. Maxworth

In this chapter we introduce you to the infinitesimal surface and volument elements in Cartesian, Cylindrical and Spherical coordinate systems. Electromagnetic fields is based on multi-variate vector calculus. The following three documents show, how the infinitesimal surface area elements are defined in Catesian, Cylindrical and Spherical coordinate systems.

Pfas In Landfill Leachate: Practical Considerations For Treatment And Characterization, Fabrizio Sabba, Christian Kassar, Teng Zeng, Synthia P. Mallick, Leon Downing, Patrick J. Mcnamara

Civil and Environmental Engineering Faculty Research and Publications

Per- and polyfluoroalkyl substances (PFAS) are widely used in consumer products and are particularly high in landfill leachate. The practice of sending leachate to wastewater treatment plants (WWTPs) is an issue for utilities that have biosolids land application limits based on PFAS concentrations. Moreover, landfills may face their own effluent limit guidelines for PFAS. The purpose of this review is to understand the most appropriate treatment technology combinations for mitigating PFAS in landfill leachate. The first objective is to understand the unique chemical characteristics of landfill leachate. The second objective is to establish the role and importance of known and …

An Attempt To Determine The Strong Tremors Causes During Longwall Mining Of Destressed Bottom Layer Of A Thick Coal Seam, Rafał Pakosz, Łukasz Wojtecki, Maciej J. Mendecki, Agnieszka Krzyżanowska

Journal of Sustainable Mining

The sequence and method of coal seam mining can significantly minimize the risk of rock bursts. The planning of exploitation in the Bielszowice part of the Ruda Hard Coal Mine involves maximizing the destress effect associated with the mining of adjacent coal seams or layers of thick coal seams. Longwall mining of destressed coal seams is characterized by much lower seismic activity; however, even during such mining, high-energy tremors may occur. This article analyzes the seismic activity accompanying the mining of longwall panels in the bottom and top layers of thick seam No. 510 and seam No. 507 in the …

A Continuum Mechanical Model Of The Brain During Closed Head Injury, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

Exactly how traumatic axonal injury happens as a result of brief, intense acceleration of the head remains a mystery. The same can be said about traumatic microbleeds observed in MRI scans of people suffering concussions. This paper explores the mechanism of injury in terms of continuum biomechanics. A full-sized viscoelastic model of the human brain is developed that is subjected to impact with the rigid skull after crossing the subarachnoid space in response to brief, intense whole head acceleration, as might occur in falls or in contact sports. The brain is considered a compressible viscoelastic body of approximately uniform density, …

Enhancing Multi-Robot Slam: Centralized Lidar-Based Loop Closure Detection Approach, Basma Ahmed Jalil, Ibraheem Kasim Ibraheem

Iraqi Journal for Computer Science and Mathematics

The loop closure detection is crucial for global mapping and route correction in multi-robot simultaneous localization and mapping (SLAM). However, including loop closure detection algorithms in MR-SLAM increases the computational complexity and the required resources on the robot board and at the base station. In this paper, An Enhanced Multi-Robot Fast Localization Odometry and Mapping (EMR-FLOAM) to deal with computation complexity issue. The EMR-FLOAM algorithm addresses computational complexity and resource requirements by utilizing a two-stage non-iterative distortion compensation technique, resulting in optimized code and accelerated localization and map construction processes. The simulation of the proposed work has been tested on …

Maxwell's Second Equation: The Gauss's Law For Magnetostatic Fields, Ashanthi Maxworth Phd

EM Fields With Prof. Maxworth

Gauss's Law for magnetostatic fields says that the total magnetic flux through a closed surface is equal to zero. In otherwords, there are no magnetic monopoles. This law has been applied in multiple mathematical derivations. Watch the short video where Dr. Maxworth explains this law. In the worksheet you can observe the magnetic flux generated due to a current through a straight coaxial cable. Note that the magnetic flux always exisit as close loops making the total net flux through a closed surface zero and the direction of the magnetic field can be derived by the right hand rule, i.e …

Evaluation Of Stability And Controllability Of The Multiple Trim Solutions For A Bio-Inspired Rotating Empennage Fighter Aircraft, Benjamin C. Moulton, Christian R. Bolander, Douglas F. Hunsaker

Mechanical and Aerospace Engineering Student Publications and Presentations

Aircraft with non-traditional actuators tend to have multiple or infinite trim solutions for a single flight condition. For a given flight condition the bio-inspired rotating empennage fighter aircraft has multiple distinct trim solutions with varying tail rotation angles. In the present work these trim solutions are evaluated from various perspectives including: minimum drag, dynamic stability, controllability, and degree of controllability. The results of these analyses can be used to further constrain a trim solver routine such that a trim solution is found meeting a desired criterion. The purpose of the present paper is to evaluate the multiple trim solutions for …

Evaluating The Effect Of Students' Behavioural Intention To Use Social Media For Collaborative Learning, Nur Shamsiah Abdul Rahman, Noor Azida Sahabudin

Iraqi Journal for Computer Science and Mathematics

With the rise of social media technologies, investigating the use of social media for learning has become all the more important. However, far too little research has been conducted to investigate factors that contribute towards students’ attitude and behavioural intention to use social media for collaborative learning in Malaysian higher education. This study aims to examine the determinants that influence students’ attitude and behaviour intention to use social media for collaborative learning by applying the Theory Acceptance Model (TAM) and Unified Theory of Acceptance and Usage of Technology (UTAUT). 243 respondents participated in this study. The Structural Equation modelling (SEM) …

Pestle Analysis Of A Seaplane Transport Network In Greece, Dimitrios V. Siskos, Alexander Maravas, Jordan Karatzas

Publications

Seaplane operations connect remote areas, promote tourism, and provide unique transportation solutions. After many years of preparations, commercial seaplane operations on a network of 100 water airports and 200 waterways in Greece are about to commence. The network can serve the needs of 1.6 million permanent residents of the Greek islands, the inhabitants of the mainland, and over 35 million annual tourists. This paper aims to conduct a PESTLE (Political, Economic, Social, Technological, Legal, and Environmental) analysis to identify the factors that have delayed operations and those that will affect the success of future operations. As such, 26 factors are …

Maxwell's Third Equation: The Faraday's Law, Ashanthi Maxworth Phd

EM Fields With Prof. Maxworth

Faraday's Law states that the voltage induced in a closed loop is equal to the rate of change of magnetic flux through that loop. As we know, when there is no fluctuating magnetic flux, there is no voltage difference across a closed loop. But when there is a changing magnetic field, a voltage is induced within a closed loop known as the electromotive force or the EMF. There are two types of electromotive forces: the motional EMF and the transformer EMF. In motional EMF the magnetic field is kept steady while the loop is moved such that it cuts the …

Exploring The Potential Of Large Language Models For Assisting With Mental Health Diagnostic Assessments: The Depression And Anxiety Case, Kaushik Roy, Harshul Surana, Darssan Eswaramoorthi, Yuxin Zi, Vedant Palit, Ritvik Garimella, Amit Sheth

Publications

Large language models (LLMs) are increasingly attracting the attention of healthcare professionals for their potential to assist in diagnostic assessments, which could alleviate the strain on the healthcare system caused by a high patient load and a shortage of providers. For LLMs to be effective in supporting diagnostic assessments, it is essential that they closely replicate the standard diagnostic procedures used by clinicians. In this paper, we specifically examine the diagnostic assessment processes described in the Patient Health Questionnaire-9 (PHQ-9) for major depressive disorder (MDD) and the Generalized Anxiety Disorder-7 (GAD-7) questionnaire for generalized anxiety disorder (GAD). We investigate various …

Non-Catalytic Direct Partial Oxidation Of Methane To Methanol In A Wall-Coated Microreactor, Kelly Cohen

LSU Doctoral Dissertations

This project used an integrated mixer-reactor-heat exchanger microtube scalable module for the non-catalytic direct partial oxidation of methane in natural gas to methanol at elevated pressures (70-95 bar), reaction temperatures of 380-460C, reactant methane:air ratios of 0.5-4.4 and reaction zone residence times on the order of 1 min. Currently, methane in remote locations is often flared in large quantities rather than transported or converted to the more easily transportable methanol. However, if this gaseous methane were converted to liquid methanol at the wellhead, it could be transported in ways other than pipeline or used onsite.

Additionally, methane is currently converted …

Optimizing Underground Construction And Plan Management For The Mong Duong Coal Mine, Vietnam, Phi Hung Nguyen, Thi Kim Thanh Nguyen, Duc Hung Pham, Quang Phuc Le, Thai Tien Dung Vu

Journal of Sustainable Mining

Mong Duong mine’s output objective is 1.5 million tons, which requires approximately 10,000 m of tunnel excavation each year. Because of the complicated geological features, the actual work is vastly different, necessitating regular changes in design and technical approaches, as well as plans for material supply, money, and staff. On the other hand, office personnel visit the construction site to update the work status after each report, and the department head and board of directors make choices on development and execution. This process takes time because it is carried out manually. As a result, a solution to support the optimization …