Digital Commons Network^™

Design Analysis Of The Structural System Of Alainsat-1 Cubesat By Simulation And Experimental Validation, Abdalla Saad Elshaal

Theses

This thesis presents the process of conducting the structural analysis of AlAinSat-1 CubeSat through a numerical solution using Siemens NX. AlAinSat-1 is a 3U remote-sensing CubeSat carrying two earth observation payloads. The CubeSat is scheduled for launch on SpaceX's Falcon 9 rocket. To ensure the success of the mission and its ability to withstand the launch environment, several scenarios should be analyzed. For the AlAinSat-1 model, the Finite Element Analysis (FEA) method is used, and four types of structural analyses are considered: modal, quasi-static, buckling, and random vibration analyses. The steps followed include idealizing, meshing, assembling, applying connections and boundary …

Enhancing Cybersecurity Awareness In The United Arab Emirates: An Assessment Of Current Practices And The Development Of An Ai-Enhanced Mobile Application, Meera Humaid Alalawi

Theses

In today's interconnected world, individuals, private corporations, public institutions, and governments face increasingly sophisticated cyber threats and attacks, highlighting the critical need for individuals and organizations to understand cybersecurity comprehensively. Cyberattacks have affected many countries and infrastructures in different sectors worldwide, including the United Arab Emirates (UAE), which has become a main target for cybercrime due to its booming economy and tourism. The UAE considers cybersecurity an increasingly critical issue in our digital world, and increasing cybersecurity awareness among residents is essential to protect themselves and their organizations from cyberattacks. The primary objectives of this study are to identify key …

Molecular Geometry Changes In Some Carbonyls And Aromatic Rings Upon Electronic Excitation: Herzberg-Teller Vibronic Coupling And Unitary Duschinsky Rotation, Maryam Yahya Al-Sakkaf

Theses

The common assumption in probing the dynamical motion of molecules is that the molecular electronic activity depends weakly on vibrational coordinates on electronic excitation. Therefore, electron-vibration interaction, which is known as Vibronic Coupling (VC), may be ignored. The Herzberg-Teller theory of Vibronic Coupling (HTVC) is a breakdown of the Born-Oppenheimer Approximation (BOA) since nuclear and electronic degrees of freedom can no longer be separated. The inclusion of a single quantum of a non-totally symmetric vibrational mode changes the overall symmetry of the state and permits the transition. Often, this assumption may be invalid, especially in carbonyl and aromatic compounds. This …

Disturbance Observer-Based Control For Pmsg-Based Wind Turbiner Considering Unbalanced Grid Conditions, Moayad Alanani Maher

Theses

A typical Permanent Magnet Synchronous Generator (PMSG)-based wind turbine system consists of an electrical generator, Machine-Side Converter (MSC), Grid-Side Converter (GSC), dc-link capacitor, and a passive filter such as L filter or LCL filter to connect the GSC to the host grid. When the wind turbine operates under unbalanced grid voltages, a negative sequence component is introduced to the system. This negative sequence voltage can pose challenges for classical controllers to ensure an efficient control of the PMSG-based wind turbine system. On one hand, when the control objective is to ensure injecting sinusoidal and balanced three-phase currents to the grid, …

Theoretical And Computational Astrochemistry: A Variational Quantum Monte Carlo (Vqmc) Study Of The Trihydrogen Molecule Cation (H3+), Ahmad Saeed Alsaed

Theses

H₃⁺ is the simplest Three-Center Two-Electron molecule and it is of much interest in astrochemistry due to its high occurrence in the outer space, high reactivity, and strong acidic properties. In addition,H₃⁺ is involved in many chemical reactions in the interstellar medium (ISM) and its significant ability to absorb energy contributed to the cooling of the Universe during its early stages.

The main objective of this thesis is to approximate the ground state electronic energy of H₃⁺ by using a simple trial wavefunction consisting of a doubly occupied molecular orbital multiplied by a Jastrow …

Mapping And Analyzing Urban Growth In The Abu Dhabi Metropolitan Using Geospatial Technologies Integrated With Machine Learning, Hamsa Mohamed Yusuf

Theses

Urbanization is happening at a rate twice the increase in population on a worldwide scale. This has great environmental and social impacts, along with large impacts on regional climate and one of the reasons for this is the ever-continuous change of land use and land cover. The availability of high-resolution satellite imagery in addition to the advancements in geospatial technology allow mapping of LULC changes to be done accurately, efficiently and covering wide areas. This thesis studies the urban Land Use and Land Cover Change (LULCC) that happened in Abu Dhabi city for the last 3 decades by utilizing geospatial …

Investigating The Magnetic Cycle Of The Planet-Hosting Star Hd189733, Mohammad Samih Raja

Theses

HD189733 is a planet-hosting star, harboring a hot Jupiter situated at approximately 8.8 stellar radii. This system is among the most studied systems for stellar magnetism, Star-Planet Interactions, and exoplanetary atmospheric studies. The largescale magnetic field of the star exhibits variability on relatively short timescales, however, no magnetic field cycle, including polarity flips, has been observed to date. This absence of cycle detection could be due to observational gaps between observing campaigns.

This thesis aims to explore the variability of the activity of HD189733 by conducting a homogeneous analysis of several publicly available datasets, obtained using several spectrographs/telescopes, spanning 18 …

Ct Image Segmentation Using Optimization Techniques Under Neutrosophic Domain, Doaa El-Shahat, Nourhan Talal, Jun Ye, Wen-Hua Cui

Neutrosophic Systems with Applications

In this paper, we introduce a hybrid technique between optimization algorithms and neutrosophic theory. This new hybridization can deal with uncertainties in brain computed tomography (CT) images in three different memberships very effectively. To prove the real-time application of this theory, a new segmentation method for brain CT medical images is presented. The grayscale medical image suffers from uncertainties and inconsistencies in the gray levels due to their bad luminance. The proposed technique addressed this problem by performing neutrosophic operations on gray levels based on the S membership function.

The Impact Of Changing The Admission Policy On Students’ Educational Opportunities In Abu Dhabi Higher Educational Institutions, Maha Khalifa Al Mansoori

Dissertations

This dissertation is concerned with the intricate dynamics of educational change in the UAE, particularly focusing on the impact of admission policy changes on students’ educational opportunities on higher educational institutions. The main objective of this dissertation is to critically evaluate the effectiveness of educational changes, specifically through the lens of revised admission policy, in enhancing the standards of higher education in the United Arab Emirates.
/="/">A quantitative research methodology using questionnaire was utilized in this research paper and PLS-SEM method with SmartPLS software was used for data analysis. The study investigates the effect of changing the admission policy …

School Leadership For The Practice Of Inclusive Education In Elementary Schools In The United Arab Emirates, Aysha Saeed Al Nuaimi

Dissertations

The number of students with disabilities in regular classrooms is increasing. In 2020, the United Arab Emirates (UAE) introduced a new policy with the goal of promoting inclusive education in all public schools. Although the UAE government is committed to the education of children with disabilities, the role of school leaders is vital to the successful implementation of inclusive education in schools. While school leaders have been found to be the main agents in steering inclusive practices, their contribution to practices in schools in the UAE context remains empirically unresearched. The objective of this study was to explore elementary school …

On The Projections And Unitary Groups Of Unital C*-Algebras, Fouzia Shaheen

Dissertations

H. Dye proved that the unitary group in a factor determines the algebraic type of that factor. Al-Rawashdeh, Booth and Giordano established that, for a large class of simple unital C*-algebras, an isomorphism between the unitary groups induces an isomorphism between their K₀-ordered group and 1-groups. Then using the results of Dadarlat-Elliot-Gong and Kirchberg-Phillips, the C*-algebras are isomorphic. Dye introduced special projections P_i,j (a) of the matrix algebra M_n(A), and he used it as a main tool to establish his results in the case of von Neumann factors. Precisely, in case of von Neumann algebra, …

Balancing Act: Insights Into Telangana Farmers’ Perspectives On Intensive Vs. Sustainable Agriculture, Srinivas Katherasala, Ram Shepherd Bheenaveni

School of Social Work Faculty Publications

High-input agriculture presents several drawbacks that can adversely affect both environmental sustainability and human health. A primary concern is soil degradation, which results from the excessive use of chemical fertilizers and pesticides. These substances can deplete soil nutrients, impair crop growth, and ultimately render the land barren and unproductive. This study, therefore, aims to explore the perceptions and practices of farmers in the Kumuram Bheem Asifabad district of Telangana State, India. The research involved a sample of 382 farmers across six mandals within this district. A stratified random sampling method was utilized within a survey-descriptive research framework. Data collection incorporated …

Physical And Chemical Methods To Assess Performance Of Tpo-Modified Asphalt Binder, Rebecca M. Herndon, Jay Balasubramanian, Klaus Woelk, Magdy Abdelrahman

Chemistry Faculty Research & Creative Works

The Demand for Effective Asphalt Additives is Growing as Road Infrastructure Ages and More Sustainable Pavement Solutions Are Needed. Tire Pyrolysis Oil (TPO) is an Example Material that Has Been Gaining Attention as a Potential Asphalt Additive. While Physical Performance Grade (PG) Temperatures Are the Predominant Performance Requirements for Asphalt Binders, Chemical Properties Are Also Significant in the Evaluation of Asphalt Performance. There is a Need to Chemically Characterize the Aging of Asphalt Binders Modified with TPO and Link Chemical Changes in Binder Components to Binder Performance. This Study Compares 2%, 4%, and 8% TPO and Asphalt Binder Blends Via …

Multifunctional Models In Digital And Physical Twinning Of The Built Environment—A University Campus Case Study, Genda Chen, Ibrahim Alomari, Woubishet Zewdu Taffese, Zhenhua Shi, Mohammad Hossein Afsharmovahed, Tarutal Ghosh Mondal, Son Nguyen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The Digital Twin (DT) Concept Has Been Developed for a Single Function in Previous Studies. This Study Aims to Empower DTs with a Layered Integration of Multifunctional Models in the Built Environment. It Develops a Framework of DT Modules in Three Hierarchical Tiers: Region, Asset, and System; Defines a New Concept of the Degree of Digital Twinning (DODT) to the Real World by the Number of Models Enabled by a Common DT Platform; and Enables Spatiotemporal Analysis in Multiple Scales to Couple Nonstructural with Structural Building Components and Connect the Built Environment to Planning Constructions. While the Asset and System …

Water Quality Considerations In Landscaping, Tom Swenson

UNH Cooperative Extension

No abstract provided.

Machine Learning-Based Approaches For Credit Card Debt Prediction, Nurain Ibrahim, Umi Munirah Ishak, Nur Nabilah Arina Ali, Norshahida Shaadan

Malaysian Journal of Computing (MJoC)

The primary concern in the stock market and banks that offer credit cards has been a problem over time. Regardless of their capacity to pay, most card users abuse their credit cards and accrue debt from cash cards. The most significant issue facing cardholders and banks alike is this calamity. Predicting credit card customers' default payments became vital to lowering this risk. Data mining approaches, including decision tree, logistic regression, and Naïve Bayes with feature selection methods, were applied to secondary credit card debt data to identify the significant factors that impact credit card default and to enhance the prediction …

Prediction Of Diabetic Retinopathy Among Diabetic Neuropathy In T2dm Patients Using Data Mining Algorithm, Nur Balqis Oon, Zuraida Khairudin, Hezlin Aryani Abd Rahman, Norbaizura Kamarudin, Nur Syamimi Haji Abu Bakar, Nor Azimah Abd Aziz

Malaysian Journal of Computing (MJoC)

Diabetic retinopathy (DR) and diabetic neuropathy (DN) are the most common complications among diabetes mellitus (DM) patients. Despite the widespread awareness, the implications of these serious diabetes complications remain poorly understood. Hence, this study aims to determine the association between DR and DN, predict DR and identify the significant risk factors associated with DR among DN patients based on the best predictive model obtained. Three models are employed in this study; Logistic Regression (LR) (Forward, Backward, Enter and Optimize), Decision Tree (Information Gain, Gini Index and Gain Ratio) and Artificial Neural Network with a splitting of 70-30. This study involved …

Modeling And Predicting The Dynamics Of Covid 19 In Malaysia A State Space Approach, Wan Munirah Wan Mohamad, Syazwani Mohd Salleh, Tengku Farah Busyra Tengku Nadzion, Abdul Latif Mohd Riza, Azmirul Ashaari

Malaysian Journal of Computing (MJoC)

The emergence of COVID-19 in Malaysia in January 2020 marked the beginning of a significant public health challenge. Despite the transition to the endemic phase on April 1, 2022, the global impact of the virus remains substantial. This research aims to forecast the cumulative number of detected cases and deaths by employing a state-space model derived from the Susceptible-Infectious-Recovered (SIR) model, capturing the multi-wave dynamics of COVID-19. The modeling focuses on estimating the trends within the time interval spanning from week 1 to week 12, commencing in mid-June 2022. Real-time data sourced from the Ministry of Health in Malaysia serve …

Analyzing The Impact Of Feature Selection Using Information Gain For Airlines Customer Satisfaction, Farah Aqilah Bohani, Farah Syazwani Mohamed Rashid, Yuzi Mahmud, Sitti Rachmawati Yahya

Malaysian Journal of Computing (MJoC)

Feature selection has become a focus of research in many fields that deal with machine learning and data mining because it makes classifiers cost-effective, faster, and more accurate. In this paper, the impact of feature selection using filter methods such as Information Gain is shown. The impact of feature selection has been analyzed based on the accuracy of two classifiers: J48 and Naïve Bayes. The Airline Customer Satisfaction datasets have been used for comparing with and without applying Information Gain. As a result, J48 achieved 0.33% and 0.29% improvements in accuracy after applying Information Gain for 10-fold and 20-fold cross-validation, …

Development Of A Near Real-Time Early Warning Agricultural System For Disaster Prediction, Willbard Kamati, Valerianus Hashiyana, James Mutuku

Malaysian Journal of Computing (MJoC)

The effects of disasters are not uniform across all individuals and communities. One’s preparedness and socioeconomic factors determine how much they will pay. Preparedness plays a crucial role in reducing the impact of disasters and aiding in their management and recovery. However, effectively preparing for unforeseen disasters becomes difficult when there is insufficient knowledge and expertise. Without accurate predictions and timely alerts about disasters, a community's level of readiness remains extremely low. Namibia has experienced various unavoidable climate-related dangers over time, making it vulnerable in the future. Inconsistencies in disseminating weather information and early disaster notifications are factors that obstruct …

Vikor Method With Z Number Approach For Portfolio Selection Decision, Zamali Tarmudi, Shamsatun Nahar Ahmad, Siti Afiqah Mohammad, Ahmad Faiz Ghazali, Mazlyda Abd Rahman, Yaya Sudarya Triana

Malaysian Journal of Computing (MJoC)

Investors and decision makers (DMs) have become increasingly interested in portfolio selection in a borderless world in recent years. In real-world market situations, the performance of a great number of portfolios is typically unpredictable due to the presence of uncertainty and unreliable factors in numerous criteria. Therefore, it is essential to increase investor returns and promote an investment strategy through thorough evaluation. This occurrence becomes critical if the DMs employ an unsuitable strategy that fails to handle both aspects in a prudent manner. Due to its importance, this paper implements a VIKOR method with a Z-number approach for selecting the …

Sir Fractional Order Of Covid-19 By Adams Bashforth-Moulton Method, Zubaidah Sadikin, Zaileha Md Ali, Fatin Nadira Rusly, Nuramira Husna Abu Hassan, Siti Rahimah Batcha, Noratika Nordin

Malaysian Journal of Computing (MJoC)

This study addresses a research gap by introducing fractional order derivatives into the SIR model for tracking COVID-19 in Malaysia. The Caputo sense fractional derivative and the Adams Bashforth Moulton method are employed to analyse the COVID-19 behavior and stability. By manipulating fractional order derivative values, this study investigates their impact on key SIR parameters, observing that lower values accelerate the attainment of asymptotic behavior in populations. The stability analysis reveals two equilibrium points: an unstable disease-free equilibrium and a stable endemic equilibrium within the system. This pioneering exploration of fractional order derivatives in the context of Malaysia's COVID-19 modeling …

Event Planner Contractor Selection Based On Consistent Fuzzy Linguistic Preference Relations Method, Noratika Nordin, Daud Mohamad

Malaysian Journal of Computing (MJoC)

Event planning, handled by the event planner, involves organizing and coordinating events. The growing number of event planning companies has created a competitive environment where all strive to be the top choice for event managers. Ranking event planners can be subjective, as it depends on specific event requirements. Therefore, it is a crucial stage in selecting the best event planner since many criteria need to be considered. This study aims to identify event planner contractors and rank the alternatives by applying Consistent Fuzzy Linguistic Preference Relations (CFLPR). CFLPR is chosen because it reduces the number of comparisons, streamlines the process, …

A New Framework For Deploying Virtual Desktop Infrastructure Using Containerization Approach, Nukman Samsuddin, Mohamad Yusof Darus, Muhammad Azizi Mohd Ariffin

Malaysian Journal of Computing (MJoC)

The COVID-19 pandemic accelerated the shift to virtual learning, pushing educational institutions to adopt innovative solutions like Virtual Desktop Infrastructure (VDI). However, traditional VDI faces performance issues due to resource limitations. This research aims to enhance VDI performance and scalability by proposing a new framework based on containerization to address performance degradation issues such as unutilized CPU and memory usage in VDI. Four key performance metrics—CPU performance, memory performance, boot time, and latency—were evaluated. This research employed a qualitative method involving five phases: problem identification, planning, design and development, testing, and result analysis. The results show that the proposed containerization …

Osteoarthritis Grading A Synthesized Magnetic Resonance Images Technique, Qiu Ruiyun, Siti Khatijah Nor Abdul Rahim, Nursuriati Jamil, Raseeda Hamzah, Xiaoling Fu

Malaysian Journal of Computing (MJoC)

Osteoarthritis (OA) in the knee is a major cause of decreased activity and physical limitations among older people. Identifying and treating knee osteoarthritis in its early stages can help patients delay the progression of the condition. Currently, early detection of knee osteoarthritis involves the use of X-ray images and assessment using the Kellgren-Lawrence (KL) grading system. Doctors' evaluations can be subjective and may differ among different doctors. Similar to a computer systems analyst, the automatic knee OA grading and diagnosis can be a valuable tool for doctors, enabling them to streamline their workload and provide more efficient care. An innovative …

The Selection Of Preferred Textbook Based On The Dominance Method, Harliza Mohd Hanif, Daud Mohamad, Nor Hashimah Sulaiman, Siti Rahimah Batcha

Malaysian Journal of Computing (MJoC)

Calculus is a mathematics subject normally taught at the tertiary level. Many calculus textbooks with different approaches and styles have been published to cater to the needs of students. The selection of calculus textbooks is essential as it can help teachers and students to optimize their usage. Textbook selection problem is one type of multiple-criteria decisionmaking problem where the selection is based on several criteria. Thus, ranking fuzzy numbers based on the area dominance method ranks the calculus textbook.

Discovering Significant Topics From Legal Decisions With Selective Inference, Jerrold Tsin Howe Soh

Research Collection Yong Pung How School Of Law

We propose and evaluate an automated pipeline for discovering significant topics from legal decision texts by passing features synthesized with topic models through penalized regressions and post-selection significance tests. The method identifies case topics significantly correlated with outcomes, topic-word distributions which can be manually interpreted to gain insights about significant topics, and case-topic weights which can be used to identify representative cases for each topic. We demonstrate the method on a new dataset of domain name disputes and a canonical dataset of European Court of Human Rights violation cases. Topic models based on latent semantic analysis as well as language …

Gender Inequality In The Practice Of International Marine Science : Case Study On The International Council For The Exploration Of The Sea, Ellen Johannesen

World Maritime University Dissertations

The UN Decade of Ocean Science for Sustainable Development aims at transformative change to connect people and the ocean. Innovation necessary for transformational change requires diverse perspectives, therefore women’s perspectives and equal participation are crucial for Ocean science. However, there is widespread evidence of underrepresentation of women especially in governance and decision-making roles. This dissertation aims to critically analyse how gender inequality persists within marine science for the sustainable use of the ocean and to contribute to developing the essential awareness of and strategies for addressing this issue. Using an intergovernmental marine science organisation as a case study, a feminist …

Elasto-Plastic Behavior Of Single-Story Single-Bay Orthogonal Steel Space Frame Under Angular Earthquake, Mohammad Hamayoun Stanikzai

Civil & Environmental Engineering Theses & Dissertations

A study of the elasto-plastic behavior of single-story single-bay orthogonal steel space frame under an angular earthquake ground motion is investigated. The building frame is subjected to a horizontal earthquake ground motion not aligned with the building’s principal axes. Such a frame can develop biaxial bending and torsion in its members. The governing differential equations of equilibrium for the typical biaxially loaded sway beam-column are presented and iteratively solved using a finite-difference scheme. The effects of warping and residual stresses are accounted for in the analysis. The equations are used to predict the quasi-static elasto-plastic response of the frame when …

A Variable Shape Metastructure Based On Controlled Bistable Structural Elements, Mehmet R. Simsek

Mechanical & Aerospace Engineering Theses & Dissertations

The so-called hybrid position feedback controller is an unstable-then-stable position feedback controller, which is a second-order single-degree-of-freedom system in nature. This hybrid controller takes advantage of the resonant mode of a bistable system about one equilibrium position, destabilizes the system, and dynamically induces snap-through between the two equilibria. In this dissertation, a new multi degree of freedom metastructure concept that utilizes the hybrid position feedback controller is introduced. An arbitrary number of bistable “segments” or “structural elements” are attached to each other in a serial (or parallel) manner to generate a “distributed” bistable structure – also referred to as a …