Engineering Commons^™

Evaluating The Multi-Valued Bartlett Processor, Daniel Robert Frister

Dissertations and Theses

A variety of approaches exist to track targets in the ocean using acoustic sensors, and the complex mix of source characteristics, environmental effects, and sensor array limitations can make the selection of an appropriate algorithm challenging. This thesis models in simulation a recently proposed signal processing method that is intended for use with a large rectangular sensor array to track the bearings of multiple sources. The method, referred to as the Multi-Valued Bartlett (MVB) processor, is an eigenvector beamformer that leverages the capabilities of large arrays to locate in bearing multiple sources simultaneously. The analysis of this thesis details the …

Analysis, Design, And Experimental Validation Of The Thermal Subsystem Of Alainsat-1 Cubesat, Ameereh Seyedzadeh

Thesis/ Dissertation Defenses

This thesis investigates the thermal management techniques of AlAinSat-1 during extremely harsh space conditions. It presents a comprehensive analysis of its thermal behavior using numerical techniques and validates the CubeSat's survivability in space via experimental testing. AlAinSat-1 is a nanocube-shaped satellite carrying Earth observation payloads, including RITA (Remote Sensing and Interference Detector with Radiometry and Vegetation Analysis) and Locana. Understanding how the CubeSat behaves in harsh space conditions and maintains thermal stability during its mission is critical to its success. The main aim of this study is to employ finite element analysis (FEA) techniques to simulate the thermal behavior of …

Notes For Contributors To Space & Defense

Space and Defense

No abstract provided.

Front Matter, Damon Coletta

Space and Defense

No abstract provided.

Convolutional Neural Networks For Dementia Severity Classification: Ordinal Versus Regular Methods, Ambresh Bhadrashetty, P. Sandhya

Iraqi Journal for Computer Science and Mathematics

Dementia, a chronic neurodegenerative disorder, progressively impairs cognitive functions such as memory, reasoning, learning, and recall, placing a significant burden on patients and healthcare systems. Early and accurate classification of dementia severity is crucial for personalized care and intervention. This study introduces a novel Convolutional Neural Network (CNN) designed to classify dementia into four ordinal severity levels (None, Very Mild, Mild, and Moderate) based on MRI brain scans. Utilizing the extensive Open Access Series of Imaging Studies (OASIS) dataset, which includes 86,437 MRI scans (67,222 ‘none,’ 13,725 ‘very mild,’ 5,002 ‘mild,’ and 488 ‘moderate’), our model addresses severe class imbalance …

New Three-Parameter Exponentiated Benini Distribution: Properties And Applications, Elif Yıldırım, Gamze Özel, Christophe Chesneaul, Farrukh Jamal, Ahmed M. Gemeay

Iraqi Journal for Computer Science and Mathematics

Modeling of some rarely occurring environmental events, obtaining and analyzing accurate predictions is quite important in determining the nature of such events and taking measures accordingly. Modeling these rarely occurring environmental events with the statistical distributions in the literature may cause some problems. For this reason, different statistical distributions are needed for modeling this type of rare data. In this paper, a new three-parameter exponentiated Benini distribution based on the exponential family is proposed as a new lifetime distribution. It is called the three-parameter exponentiated Benini distribution. Although new distributions are derived by different methods in the literature, there is …

Investigating Intrusion Detection System Using Federated Learning For Iot Security Challenges, Mohammed Q. Mohammed, Zena Abd Alrahman, Aouf R. Shehab

Iraqi Journal for Computer Science and Mathematics

The Internet of Things (IoT) is a decentralized and ever-changing network, which poses challenges in terms of security. The input highlights the need for robust security measures to protect IoT devices and their data from potential threats. The study focuses on Federated Learning (FL) technology as a potential solution to enhance IoT security. FL models are designed to protect sensitive data while allowing its exchange with other systems, making it a promising approach for securing IoT environments. Additionally, the input suggests the implementation of intrusion detection systems (IDS) as an additional strategy to enhance overall IoT security. By combining FL …

Explainable Machine Learning Approach Enables Computer-Aided Identification System For Children Autism Spectrum Disorder (C-Asd), Karrar Hameed Abdulkareem, Zainab Hussein Arif, Mazin Abed Mohammed

Iraqi Journal for Computer Science and Mathematics

Neurodevelopmental disorders like autism spectrum disorder (ASD) cause significant cognitive, linguistic, object identification, communication, and social skills deficits. Although there is currently no cure for autism spectrum disorder (ASD), early detection can aid in diagnosis and implementing effective preventative measures. Artificial intelligence (AI) tools allow for an earlier diagnosis of ASD than was previously possible. Furthermore, many clinical and not clinical attributes can be used for identification of ASD but select the most proper ones still challenge. Therefore, in this study we propose a Computer-Aided Identification System based on machine learning concept and feature selection methods to diagnosis Children Autism …

Stable Heterogeneous Traffic Flow With Effective Localization And Path Planning In Wireless Network Connected And Automated Vehicles In~Internet Of Vehicular Things (Iovt), Ahmed N. Rashid, Ahmed Mahdi Jubair

Iraqi Journal for Computer Science and Mathematics

The increasing complexity of networks comprising both Connected Autonomous Vehicles (CAVs) and Human-Driven Vehicles (HDVs) presents substantial challenges in achieving accurate positioning, efficient communication, and optimal route planning. Current methodologies fall short in enhancing vehicular network efficiency and reliability due to noise interference, inefficient data transmission, and unstable data transfer. This study aims to improve localization accuracy, reduce communication noise, and enhance path planning efficiency in mixed CAV and HDV environments through the Stable Heterogeneous Traffic Flow using Deep Reinforcement Learning and Effective Path Planning (SHTDR-EPP) approach. The primary goals are to ensure dependable localization, efficient communication, and reliable route …

A Comprehensive Analysis Of Partition Dimensions In Efavirenz Abacavir Lamivudine Doravirine Of Anti-Hiv Drug Structures, R. Nithya Raj, R. Sundara Rajan, Hijaz Ahmad

Iraqi Journal for Computer Science and Mathematics

The partition dimension of a graph in chemical graph theory refers to a graph invariant used to analyze the structural properties of molecules. It represents the minimum number of clusters or resolving partition set required to uniquely identify each vertex in the graph based on the neighborhoods within their respective clusters. In the context of chemical graph theory, the vertices of the graph correspond to atoms, and edges represent bonds between these atoms in a molecular structure. Determining the partition dimension of a chemical graph helps in understanding the relationships between molecular components and their spatial arrangements. It assists in …

Embedded Schemes Of The Runge-Kutta Type For The Direct Solution Of Fourth-Order Ordinary Differential Equations, F. A. Fawzi, Nizam G. Ghawadri

Iraqi Journal for Computer Science and Mathematics

This paper introduces an innovative approach for solving fourth-order ordinary differential equations (ODEs) of the form. We present the embedded Runge-Kutta (RK) Direct Explicit (ERKDGF) method, a family of embedded direct explicit RK type methods tailored specifically for this purpose. Through meticulous application of Taylor expansion, we have derived algebraic equations with order conditions up to the sixth order, ensuring the accuracy and reliability of our proposed integrator. We have developed two key variants within this method, namely RKDF5(4) and ERKDGF5(4), with orders five and four, respectively. Our approach is strategically designed, with the higher-order method ensuring exceptional accuracy, and …

Robust-Fragile Watermarking Using Integer Wavelet Transform For Tampered Detection And Copyright Protection, Hendra Budi, Ferda Ernawan, Agit Amrullah

Iraqi Journal for Computer Science and Mathematics

The use of the internet and advanced technologies enables the distribution of information and data through diverse digital images. Nevertheless, this ease of use comes with the potential risk of data misappropriation, encompassing unauthorized alterations, duplications, and reproductions of digital images. Ongoing research is being conducted in the field of watermarking to enhance the capabilities of protecting digital images. The objective of this work is to enhance the strength of copyright protection and the vulnerability of watermarking for authentication in digital images by utilizing the Integer Wavelet Transform (IWT). The watermarking approach involves embedding a durable watermark in the red …

Modelling Security Factors Influencing E-Wallet Adoption In Malaysia, Adi Badiozaman Ruhani, Nur Suhaili Mansor, Hapini Awang, Mohamad Fadli Zolkipli, Khuzairi Mohd Zaini, Abderrahmane Benlahcene

Iraqi Journal for Computer Science and Mathematics

This study aims to develop an effective framework that addresses the security concerns and user behavior related to e-wallet adoption. The research methodology entails quantitative data collection through a literature review and surveys of e-wallet users using convenience sampling, and the proposed model is tested using the Partial Least Squares Structural Equation Modelling (PLS-SEM). The proposed security factors in this study include phone stolen protection, app security performance, secure authentication, data privacy protection, secure online transaction and banking info security. The online survey form was disseminated to Malaysian citizens, and 186 respondents participated in the survey. Using a two-step approach, …

Robust Image Watermarking Based On Schur Decomposition, Ahmad Toha, Ferda Ernawan, Agit Amrullah

Iraqi Journal for Computer Science and Mathematics

The advanced of internet technology allows unauthorized people to distribute multimedia data. Copyright protection for digital images is needed to protect the intellectual properties of the digital image. This study presents a colour image watermarking using schur decomposition for protecting the digital copyright. This study investigates the significant contribution of the orthogonal U of schur decomposition with the size of 8´8 pixels. The proposed scheme embeds a watermark on the (U₂, U₆) of the U matrix to achieve high invisibly and robustness of the embedded watermark. The relationship of each coefficient on the U matrix …

Image Watermarking Using Firefly Algorithm–Iwt-Svd For Copyright Protection, Anjahul Khuluq, Ferda Ernawan, Agit Amrullah, Mohd Arfian Ismail

Iraqi Journal for Computer Science and Mathematics

Image watermarking is a technique used to ensure the legitimacy of ownership by safeguarding images. This research presented the Firefly algorithm–IWT-SVD to enhance resistance and robustness performance against different type of attacks. The cover image is split into blocks of 4×4 pixels, and each block is then computed by IWT-SVD. The Firefly algorithm is used to determine the appropriate scaling factor to incorporate the watermark using a predefined set of principles. The watermarked images have been evaluated under various attacks such as noise addition, filtered image, compressed image and scaled image. The experimental results demonstrate exceptional imperceptibility, with an average …

Robust Image Watermarking Based On Iwt-Dct-Svd For Copyright Protection, Syafiqul Shubuh, Ferda Ernawan, Agit Amrullah, Prajanto Wahyu

Iraqi Journal for Computer Science and Mathematics

The rapid advancement of technology has resulted in many intellectual works, in the form of images requiring copyright protection to prevent unauthorized use by irresponsible parties. This research examines the hybrid watermarking method that utilises IWT-DCT-SVD domain to enhance the durability of the embedded watermark. The host image is used as the input for the R-Level process, if the watermark logo is small, then the cover image is computed by 3-level of IWT. Whereas, the watermark logo has a large size, the cover image is then computed by 1-level of IWT. The watermark logo is embedded into the singular value …

Automated Fake News Detection System, Saja A. Al-Obaidi, Tuba Çağlıkantar

Iraqi Journal for Computer Science and Mathematics

Online news has been the majority of people’s information source in recent decades. However, a lot of the information that is accessible online is fake and sometimes even designed to mislead. It might be difficult for individuals to distinguish between certain false newspaper items and the real ones since they are so similar. Deep learning (DL) and machine learning (ML) models, among other automated false news detection (FND) techniques, are quickly becoming essential. A comparative study was conducted to analyze the performance of five prominent deep learning models across four distinct datasets, namely ISOT, FakeNewsNet, Dataset1, and Dataset2. Results indicated …

Posinormality Of Operators Treated By Weyl's Theorem On Unbounded Hilbert Space, Abbas G. Rajij, Dalia S. Ali, Huseyin Cakalli, Nadia M. G. Al-Saidi

Iraqi Journal for Computer Science and Mathematics

Hamiltonians, momentum operators, and other quantum-mechanical perceptible take the form of self-adjoint operators when understood in quantized physical schemes. Unbounded and self-adjoint recognition are required in the situation of positive measurements. The selection of the proper Hilbert space(s) and the selection of the self-adjoint extension must be made in order for this to operate. In this effort, we define a new extension positive measure depending on the measurable field of nonzero positive self-adjoint operator in unbounded Hilbert space of analytic functions of complex variables. Consequently, we define an extension norm in the same space. We show several new properties of …

Data-Driven Quality Improvement For Sustainability In Automotive Packaging Systems, Tyler Mcknight

Morehead State Theses and Dissertations

A thesis presented to the faculty of the College of Science and Engineering at Morehead State University in partial fulfillment of the requirements for the Degree Master of Science by Tyler McKnight on November 25, 2024.

Design Method For Active Slope Reinforcement: A Case Study Of Excavated Slopes, Qin Hui, Yin Xiaotao, Tang Hua, Cheng Xu

Coal Geology & Exploration

Objective Slope instability and failure exhibit extinct spatiotemporal characteristics. Existing design methods for passive reinforcement have resulted in the engineering instability of numerous excavated slopes. Therefore, analyzing the spatiotemporal evolutionary patterns of slopes during excavation and exploring the design methods for active slope reinforcement are particularly important for the information technology (IT)-based construction and safety control of slopes. Methods Using on-site investigations and numerical simulations, this study analyzed the causes of excavation-induced failure of high slopes, as well as the evolutionary pattern of the principal stresses in the sliding zone. Consequently, this study revealed the progressive failure mechanism of slopes …

Natural Gamma-Ray Log-Derived Heat Production Rates Of Strata And Lithospheric Thermal Structure In The Central Depression, Yinggehai Basin, Zhang Jiahao, Song Rongcai, Zheng Feng, Zhang Yan, Tang Xin, Li Bo, Dong Shuyi

Coal Geology & Exploration

Objective Understanding the lithospheric thermal structure is significant for exploring the dynamics of a basin's thermal evolution, as well as for the assessment, exploitation, and utilization of geothermal resources in a basin. However, the limited data on heat production in the Yinggehai Basin has constrained research into the lithospheric thermal structure of the basin. Methods Using natural gamma-ray (NGR) logs from 23 wells in the Yinggehai Basin, this study calculated the heat production rates of strata in the central depression using the fitted gamma-ray value (GR) - radiogenic heat production rate (A) empirical formula. Based on the ocean …

A Method For Intelligent Identification Of Weak Interlayer Characteristics During The Drilling Of Anchor Boreholes, Gao Dan, Yue Zhongwen, Wang Peng, Yue Xiaolei, Yan Yifei, Zhou Xingyuan, Li Yang

Coal Geology & Exploration

Objective The drilling quality of anchor boreholes is significantly influenced by the structural planes of weak interlayers within rock masses. Weak interlayers, tending to be hidden hazards within rock masses, affect the drilling stability and efficiency, further influencing the stability and safety of the whole support structure. Once drilled by drill bits, weak interlayers exhibit significant dynamic responses, which reflect the changes in rock mass structures during the drilling. Methods From the perspective of drilling specific energy, this study conducted digital drilling experiments on rock mass-like specimens bearing weak interlayers using the independently developed measurement while drilling (MWD) system, which …

Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.

Uniform 3d Scattering Point Model For Simulating The Dynamic Radar Echo From Wind Farm, Bo Tang, Zhendong Zhu, Zhiyu Shang, Huanghai Xie, Feng Wang, Jiaxu Chen

Turkish Journal of Electrical Engineering and Computer Sciences

The calculation scale of simulating wind farm dynamic radar echo is gradually growing with the increasing scale of wind farms, which can hardly meet the requirements of real-time radar echo simulation. Considering that the method of surface element division can greatly influence the result of simulation, uniform surface element division is applied to accelerate the traditional simulation algorithm based on the refined 3D scattering point model and enhance the main characteristics of the radar echo. The solution time of dynamic radar echoes from 1-8 wind turbines is calculated to test the average speed that the uniform 3D scattering point model …

An Improved Conditional Integrator Sliding Mode Controller Based On Swarm Intelligence For A Magnetic Levitation System, Abdelkader Kerraci, Mohamed Fayçal Khelfi, Zoubir Ahmed-Foitih

Turkish Journal of Electrical Engineering and Computer Sciences

This paper proposes an enhanced Conditional Integrator Sliding Mode Controller using Particle Swarm Optimization (CISMCPSO) for a magnetic levitation system (MLS). The main advantage of this controller is its robustness to uncertainties and disturbances, which also avoids chattering and ensures zero static steady-state error. The main idea of CISMCPSO is to activate its integral action only when the sliding surface reaches the boundary layer while it is reduced to zero or close to zero elsewhere, which avoids destroying the transient response caused by the conventional integral sliding-mode controller. A particle swarm optimization algorithm schedules the conditional integral term parameter of …

Impact Of Vaporization On Drop Aerobreakup, B. Boyd, S. Becker, Yue Stanley Ling

Faculty Publications

Aerodynamic breakup of vaporizing drops is commonly seen in many spray applications. While it is well known that vaporization can modulate interfacial instabilities, the impact of vaporization on drop aerobreakup is poorly understood. Detailed interface-resolved simulations were performed to systematically study the effect of vaporization, characterized by the Stefan number, on the drop breakup and acceleration for different Weber numbers and density ratios. It is observed that the resulting asymmetric vaporization rates and strengths of Stefan flow on the windward and leeward sides of the drop hinder bag development and prevent drop breakup. The critical Weber number thus generally increases …

Exploring How Personal And Program Characteristics Inform The Experiences Of Engineering Students Abroad, Kirsten A. Davis, David B. Knight

School of Engineering Education Faculty Publications

Background

As more universities seek to offer international experiences for engineering students, it is important to design such programs to effectively support student learning abroad. Previous research on study abroad has focused on a limited number of outcomes and therefore failed to consider the diversity of experiences students may have in the same program and the range of learning outcomes they may develop while abroad.

Purpose

We explored student experiences across multiple types of engineering study abroad programs to address the research question: How do the types of significant experiences students highlighted from their time abroad differ based on student …

A Nanoindentation-Based Study On The Micromechanical Properties Of Red Shales, Zhou Lang, Ma Zhenqian, Huang Qingrong, Shuai Yunlin, Zhang Jimin, Liu Rongke

Coal Geology & Exploration

Objective Investigating the micromechanical properties of minerals using nanoindentation tests is of great significance for revealing the microscale mechanisms behind mineral failure. Methods Focusing on the primary minerals in the surrounding rocks of red shales in a phosphate deposit, this study conducted qualitative and semi-quantitative analyses of these minerals, including their spatial distributions, using X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive spectrometry (EDS), and targeted nanoindentation tests, determining the micromechanical properties of the minerals. This study developed a discrete numerical calculation model for the microscopic nanoindentation of minerals based on Voronoi tessellation and compared the simulation results with …

State Of The Art And Future Directions In Groundwater Contamination Risk Assessment, Xu Beiyi, Wang Ce, Zhou Guangyang, Zhou Pengpeng

Coal Geology & Exploration

Background Rapid global socio-economic development has intensified the resource crisis and contamination of groundwater, rendering groundwater contamination risk assessments critical to contamination prevention, control, and remediation. Advances Through a systematic summary of domestic and international studies, this study reviews the development of theories on groundwater contamination risk assessments and the formation of the theoretical system. Based on the source-pathway-receptor assessment system, this study presents a summary of the research methods for the assessments of contamination source load risks, groundwater vulnerability, and contamination hazards. Groundwater contamination risk assessments have evolved from unidimensional qualitative assessments to quantitative process models highlighting contamination mechanisms …

Underground Coal Gasification In The Aidinghu Mining Area, Turpan-Hami Coalfield: Geological Evaluation System And The Selection Of The Optimal Coal Seam, Zeng Zhiwei, Lai Peng, Tian Jijun, Yang Shuguang, Hu Zhenpeng, Wang Bo, Yu Yu, Wang Haichao, Liu Yunxuan, Yuan Yixuan

Coal Geology & Exploration

Objective Underground coal gasification (UCG) is an innovation in traditional coal mining technology. The prerequisites for successful UCG include developing a systematic geological evaluation system and scientifically selecting the optimal coal seam.Methods Using mathematical analysis methods such as analytic hierarchy process (AHP), coefficient of variation method, and technique for order preference by similarity to ideal solution (TOPSIS), this study systematically analyzed the coal quality, coal seam occurrence, hydrology, surrounding rocks, geological structures, hazardous elements, and geological exploration degree of coal reservoirs in the Aidinghu mining area, Turpan-Hami coalfield. Accordingly, this study deeply explored the feasibility of UCG in the …