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Articles 5431 - 5460 of 40934
Full-Text Articles in Engineering
Fostering Corporate Resilience: Assessing Risk Management Committee Effectiveness In Malaysia’S Telecommunication And Media Sector Pre- And During The Covid-19, Flicia Rimin, Siti Rahayu Beli, Anastasiah Harbi, Imbarine Bujang, Jamaliah Said
Fostering Corporate Resilience: Assessing Risk Management Committee Effectiveness In Malaysia’S Telecommunication And Media Sector Pre- And During The Covid-19, Flicia Rimin, Siti Rahayu Beli, Anastasiah Harbi, Imbarine Bujang, Jamaliah Said
ASEAN Journal on Science and Technology for Development
The COVID-19 pandemic has significantly impacted organizations, underscoring the critical role of financial factors in determining performance. Maintaining a healthy financial stance during crises necessitates effective risk management, prompting the exploration of a Risk Management Committee (RMC) as a focal point for addressing risk issues and managing internal controls. A study spanning 2017 to 2021 assessed 11 listed companies in the Telecommunication and Media Sector, revealing that a combined RMC did not enhance financial performance, indicating its ineffectiveness during the crisis. The study advocates for a separate risk management committee due to the audit committee’s limitations in performing both functions. …
Word Prediction Using Dynamic Skip Connections Along With Arabert And Lstm In Arabic Language, Ahad Almalki, Faris Kateb, Rayan Mosli
Word Prediction Using Dynamic Skip Connections Along With Arabert And Lstm In Arabic Language, Ahad Almalki, Faris Kateb, Rayan Mosli
ASEAN Journal on Science and Technology for Development
Natural Language Generation (NLG) plays a crucial role in modern digital tools, including chatbots, virtual support, content suggestions, and tailored marketing, making bots more responsive and reducing the need for human staff. While there's much research on NLG for languages like English, languages like Arabic, Urdu, and Chinese still face challenges. This study examines Arabic NLG's unique aspects, dialects, and word variations. With around 420 million Arabic speakers globally, it's crucial to advance NLG for this language. We compared three models: Long Short-Term Memory (LSTM), a mix of Bidirectional Encoder Representations from Transformers (BERT) and LSTM, and a version that …
Sustainability Innovation, Firm Competitiveness, Export Performance, And Sales Growth: A System Dynamics Approach, Budi Harsanto, Joval Ifghaniyafi Farras, Egi Arvian Firmansyah
Sustainability Innovation, Firm Competitiveness, Export Performance, And Sales Growth: A System Dynamics Approach, Budi Harsanto, Joval Ifghaniyafi Farras, Egi Arvian Firmansyah
ASEAN Journal on Science and Technology for Development
In recent times, the interplay between sustainability innovation, firm competitiveness, export performance, and sales growth has garnered significant attention. Research on sustainable innovation's effects on firm competitiveness, export performance, and sales growth remains limited, especially concerning specific contexts like Halal Micro, Small, and Medium Enterprises (MSMEs). The study proposes to bridge this gap by developing a System Dynamics model that considers firm competitiveness, sales growth, export performance, and sustainable innovation. This research uses the system dynamic method which is carried out in four stages. The first stage, analyzing the system mechanism for sustainable innovation, the second stage, building correlations between …
Thriving In Turbulent Times: The Dynamic Link Between Economic Condition And Fintech Business Lending Success, Nur ‘Asyiqin Ramdhan, Imbarine Bujang, Amirul Afif Muhamat, Ninuk Dewi Kesumaningrum
Thriving In Turbulent Times: The Dynamic Link Between Economic Condition And Fintech Business Lending Success, Nur ‘Asyiqin Ramdhan, Imbarine Bujang, Amirul Afif Muhamat, Ninuk Dewi Kesumaningrum
ASEAN Journal on Science and Technology for Development
This study aimed to understand how FinTech business lending was affected by the pandemic crisis, which caused small businesses to struggle with limited access to funds. During this crisis, demand for alternative financing, like peer-to-peer (P2P) lending, surged. However, P2P lending faces challenges related to information imbalances, especially during crises, when transparency and economic conditions impact investor decisions in Malaysia. We examined factors like platform interest rates, loan duration, investment size, bank lending rates (BLR), inflation, and the crisis using ARDL analysis. Our long-term analysis revealed a significant positive relationship between investment size and P2P lending, while economic conditions had …
A Gold Mine: The Importance Of Information And Communication Technology (Ict) On Bank Liquidity In Asia And The Pacific, Sarmila Udin, Imbarine Bujang, Nancy Chiuh Noemi
A Gold Mine: The Importance Of Information And Communication Technology (Ict) On Bank Liquidity In Asia And The Pacific, Sarmila Udin, Imbarine Bujang, Nancy Chiuh Noemi
ASEAN Journal on Science and Technology for Development
Financial systems are the entities in charge of promoting, growing, and enhancing economic growth and development. To be viable in the market, financial institutions must maintain enough liquid assets to meet any unforeseen demand from customers at any time needed. Currently, banks are pursuing cutting-edge technologies to survive and thrive in an ever-changing market environment. This paper aims to examine the relationship between information and communication technology (ICT), macroeconomics and bank liquidity risk in Asia and the Pacific. The research took place between 2012 and 2018 and the nations were chosen based on data availability; as a result, the sample …
Interest Rate Mismatches In Indian Banking: Causes, Strategies, And Implications, Baba Gnanakumar P, M.K. Baby, Ulaganathan Subramanian
Interest Rate Mismatches In Indian Banking: Causes, Strategies, And Implications, Baba Gnanakumar P, M.K. Baby, Ulaganathan Subramanian
ASEAN Journal on Science and Technology for Development
Despite the global trend of rising interest rates, India's Reserve Bank (RBI) has adopted a unique approach, emphasizing a rate pause and a solid anti-inflation stance. This unconventional strategy has sometimes led to periods of credit expansion, even during monetary tightening measures implemented by the RBI. One significant consequence of these policies is the widening gap between deposit and lending rates within the Indian banking sector. This research study aims to comprehensively analyze the implications of interest rate mismatches among Indian banks in this context. Specifically, the investigation focuses on the challenges posed by deposit and lending rate mismatches and …
Debunking Indian Neo-Banks' Customer Effort Score And Esg Values, Baba Gnanakumar P, Ulaganathan Subramanian, M.K. Baby
Debunking Indian Neo-Banks' Customer Effort Score And Esg Values, Baba Gnanakumar P, Ulaganathan Subramanian, M.K. Baby
ASEAN Journal on Science and Technology for Development
Neo-banks in India are harnessing data analytics to address ESG risks, collaborating with various stakeholders, and striving to promote ESG values. Their endeavours not only enhance the customer experience but also contribute to a more sustainable and ethical financial system, with the potential to reduce the carbon footprint as digital banking gains traction in India. We examine whether ESG-rated banks can diminish customer effort and improve the overall customer experience, ultimately encouraging greater participation in sustainable financial practices. We employ text mining to analyse 2156 reviews of ESG-rated banks' digital services, from which we derive the Customer Effort Score. We …
The Perspective Of Cash Flow Risks On Earnings Measurement, Daisuke Suzuki, Junpei Yamada, Shoji Kamimura
The Perspective Of Cash Flow Risks On Earnings Measurement, Daisuke Suzuki, Junpei Yamada, Shoji Kamimura
ASEAN Journal on Science and Technology for Development
The essence of earnings in financial statements is significantly influenced by changes in the economic environment. The main objective of this paper is to elucidate a universal principle capable of explaining any types of earnings measurements. To achieve this, we examine the factors influencing earnings by modeling them from a cash flow perspective. Consequently, this paper directs the attention away from stocks and flows, placing emphasis on the risks inherent in income and expenditure in the context of earnings measurements. It highlights the crucial role of these risks in earnings. Additionally, we illustrate that adjusting these risk tolerances enables the …
Social Media Marketing Audiences And Adaptive Behavior In Brunei: Sem Analysis Using Smartpls, Shahid Anjum, Asmah Ahmad, Jefri Basiuni, Najeeba Tazeen
Social Media Marketing Audiences And Adaptive Behavior In Brunei: Sem Analysis Using Smartpls, Shahid Anjum, Asmah Ahmad, Jefri Basiuni, Najeeba Tazeen
ASEAN Journal on Science and Technology for Development
The social media and Internet technology penetrations and usage are quite high in Brunei Darussalam. The use of social media marketing among micro, small, and relatively medium businesses to promote their products has also grown as businesses desire to engage and build relationships with customers through social media. This has generated an interest in studying the adaption of social media marketing campaigns among customers, which indirectly determines the effectiveness of social media marketing itself, as well as in studying the facilitation factors for such an adaption. Technology Acceptance Model (TAM) has been used extensively because of its simplicity and usefulness. …
Measurement Accuracy Of Inputs And Outputs For Financial Efficiency Of Islamic Banks, Irma Febriana Mimma Kebahyang, Imbarine Bujang, Norhayati Mohamed, Emi Maimunah
Measurement Accuracy Of Inputs And Outputs For Financial Efficiency Of Islamic Banks, Irma Febriana Mimma Kebahyang, Imbarine Bujang, Norhayati Mohamed, Emi Maimunah
ASEAN Journal on Science and Technology for Development
This paper aims to conduct a systematic literature review on the measurement accuracy of Inputs and Outputs for the financial efficiency of Islamic Banks. Generally, financial efficient literature has lengthy discussions of various input and output measurements, but the research findings are still arguably among scholars. Therefore, this paper highlighted the significance of input and output that reflects the accuracy of the financial efficiency measurement. The data of this study was derived from a review of empirical literature comprising 33 articles published between 2013 and 2023. The sample articles on the Islamic Banks' financial efficiency measurement were located through a …
A Beacon Of Climate Change And Green Financing Toward Bank Stability Among Tiger Cub Economics, Mohd Razuan Abd Hishamuddin, Imbarine Bujang, Flicia Rimin, Irma Febriana Mimma Kebahyang
A Beacon Of Climate Change And Green Financing Toward Bank Stability Among Tiger Cub Economics, Mohd Razuan Abd Hishamuddin, Imbarine Bujang, Flicia Rimin, Irma Febriana Mimma Kebahyang
ASEAN Journal on Science and Technology for Development
Economic growth strongly depends on financial stability, given that the financial sector conducts most transactions in the real economy. Financial instability causes banking institutions to be wary about backing profitable businesses, resulting in a reluctance to fund such activities. Green financing is one of the measures to minimize banking instability. In general, the role of green financing would be to mitigate climate change risk and control the environment. Numerous studies have been conducted on an empirical model of the relationship between climate change and the financial stability of banking institutions. However, little emphasis is placed on the context of adopting …
Enhancing Phishing Attack Detection Using Explainable Ai: Trends And Innovations, Bhagyashree D. Shendkar, Pankaj R. Chandre, Sulochana Sagar Madachane, Nikita Kulkarni, Sayalee Deshmukh
Enhancing Phishing Attack Detection Using Explainable Ai: Trends And Innovations, Bhagyashree D. Shendkar, Pankaj R. Chandre, Sulochana Sagar Madachane, Nikita Kulkarni, Sayalee Deshmukh
ASEAN Journal on Science and Technology for Development
In the context of escalating cyber threats, phishing attacks continue to pose significant challenges to cybersecurity measures, exploiting human vulnerabilities to gain unauthorized access to sensitive information. Innovative solutions are required because traditional detection methods frequently fail to identify and mitigate these assaults successfully. To improve phishing attack detection, this study makes use of Explainable Artificial Intelligence (AI) tools, which provide decision-making processes with transparency and prediction accuracy. The paper begins by outlining the pervasive nature of phishing attacks in today's digital landscape, emphasizing their detrimental impact on individuals, organizations, and society at large. It then discusses the limitations of …
Policy Strategies For Developing Superior Human Resources For The Sugar Cane Agro-Industry In The Industrial Era 4.0 In Indonesia, Mursiti Mursiti, Illah Sailah, Marimin Marimin, Muhammad Romli, Alex Denni
Policy Strategies For Developing Superior Human Resources For The Sugar Cane Agro-Industry In The Industrial Era 4.0 In Indonesia, Mursiti Mursiti, Illah Sailah, Marimin Marimin, Muhammad Romli, Alex Denni
ASEAN Journal on Science and Technology for Development
The development of Industry 4.0 creates new challenges for human resources. Research in the field of human resources for the sugarcane agro-industry is still rare and is important because it is a strategic commodity in Indonesian for the sustainability of the sugarcane industry. The scope of the research ranges from the cut load transportation to sugar refining. The aim of the research is to conduct human resource scenario planning towards Human Resource 4.0 in sugarcane agroindustry. The research method used is scenario planning. The data were obtained from primary and secondary data. The variables used are human resource readiness and …
The Hazard Prediction Problem, Mary E. Helander, Brendan Smith, Sylvia Charchut, Erika Swiatowy, Calvin Nau, Gregory Cavaretta, Timothy Schuler, Adam Schunk, Héctor Ortiz-Peña
The Hazard Prediction Problem, Mary E. Helander, Brendan Smith, Sylvia Charchut, Erika Swiatowy, Calvin Nau, Gregory Cavaretta, Timothy Schuler, Adam Schunk, Héctor Ortiz-Peña
Social Science - All Scholarship
This work formulates the hazard prediction problem while addressing the research question: Can machine learning create a model to automatically recognize patterns that correspond to hazard state conditions during a mission-critical operation? Supervised learning models were trained and tested on data observed from mission simulators, which allowed for safe observation of dynamic system states and undesirable casualty events. The prediction task was formulated as a binary classification problem, producing the probability of being in a hazard state at time t and providing situational awareness of a possible imminent loss. Several modeling architectures were investigated: neural networks, logistic regression, a support …
Towards Algorithmic Justice: Human Centered Approaches To Artificial Intelligence Design To Support Fairness And Mitigate Bias In The Financial Services Sector, Jihyun Kim
CMC Senior Theses
Artificial Intelligence (AI) has positively transformed the Financial services sector but also introduced AI biases against protected groups, amplifying existing prejudices against marginalized communities. The financial decisions made by biased algorithms could cause life-changing ramifications in applications such as lending and credit scoring. Human Centered AI (HCAI) is an emerging concept where AI systems seek to augment, not replace human abilities while preserving human control to ensure transparency, equity and privacy. The evolving field of HCAI shares a common ground with and can be enhanced by the Human Centered Design principles in that they both put humans, the user, at …
Cooperative Trucks And Drones For Rural Last-Mile Delivery With Steep Roads, Jiuhong Xiao, Ying Li, Zhiguang Cao, Jianhua Xiao
Cooperative Trucks And Drones For Rural Last-Mile Delivery With Steep Roads, Jiuhong Xiao, Ying Li, Zhiguang Cao, Jianhua Xiao
Research Collection School Of Computing and Information Systems
The cooperative delivery of trucks and drones promises considerable advantages in delivery efficiency and environmental friendliness over pure fossil fuel fleets. As the prosperity of rural B2C e-commerce grows, this study intends to explore the prospect of this cooperation mode for rural last-mile delivery by developing a green vehicle routing problem with drones that considers the presence of steep roads (GVRPD-SR). Realistic energy consumption calculations for trucks and drones that both consider the impacts of general factors and steep roads are incorporated into the GVRPD-SR model, and the objective is to minimize the total energy consumption. To solve the proposed …
Photoluminescence Switching In Quantum Dots Connected With Fluorinated And Hydrogenated Photochromic Molecules, Ephraiem S. Sarabamoun, Jonathan M. Bietsch, Pramod Aryal, Amelia G. Reid, Maurice Curran, Grayson Johnson, Esther H. R. Tsai, Charles W. Machan, Guijun Wang, Joshua J. Choi
Photoluminescence Switching In Quantum Dots Connected With Fluorinated And Hydrogenated Photochromic Molecules, Ephraiem S. Sarabamoun, Jonathan M. Bietsch, Pramod Aryal, Amelia G. Reid, Maurice Curran, Grayson Johnson, Esther H. R. Tsai, Charles W. Machan, Guijun Wang, Joshua J. Choi
Chemistry & Biochemistry Faculty Publications
We investigate switching of photoluminescence (PL) from PbS quantum dots (QDs) crosslinked with two different types of photochromic diarylethene molecules, 4,4'-(1-cyclopentene-1,2-diyl)bis[5-methyl-2-thiophenecarboxylic acid] (1H) and 4,4'-(1-perfluorocyclopentene-1,2-diyl)bis[5-methyl-2-thiophenecarboxylic acid] (2F). Our results show that the QDs crosslinked with the hydrogenated molecule (1H) exhibit a greater amount of switching in photoluminescence intensity compared to QDs crosslinked with the fluorinated molecule (2F). With a combination of differential pulse voltammetry and density functional theory, we attribute the different amount of PL switching to the different energy levels between 1H and 2F molecules which result in different potential barrier …
Aggregation And Oligomerization Characterization Of Ss-Lactoglobulin Protein Using A Solid-State Nanopore Sensor, Mitu C. Acharjee, Brad Ledden, Brian Thomas, Xianglan He, Troy Messina, Jason Giurleo, David Talaga, Jiali Li
Aggregation And Oligomerization Characterization Of Ss-Lactoglobulin Protein Using A Solid-State Nanopore Sensor, Mitu C. Acharjee, Brad Ledden, Brian Thomas, Xianglan He, Troy Messina, Jason Giurleo, David Talaga, Jiali Li
Physics Faculty Publications and Presentations
Protein aggregation is linked to many chronic and devastating neurodegenerative human diseases and is strongly associated with aging. This work demonstrates that protein aggregation and oligomerization can be evaluated by a solid-state nanopore method at the single molecule level. A silicon nitride nanopore sensor was used to characterize both the amyloidogenic and native-state oligomerization of a model protein ß-lactoglobulin variant A (βLGa). The findings from the nanopore measurements are validated against atomic force microscopy (AFM) and dynamic light scattering (DLS) data, comparing βLGa aggregation from the same samples at various stages. By calibrating with linear and circular dsDNA, this study …
Learning Social Fairness Preferences From Non-Expert Stakeholder Opinions In Kidney Placement, Mukund Telukunta, Sukruth Rao, Gabriella Stickney, Venkata Sriram Siddardh Nadendla, Casey I. Canfield
Learning Social Fairness Preferences From Non-Expert Stakeholder Opinions In Kidney Placement, Mukund Telukunta, Sukruth Rao, Gabriella Stickney, Venkata Sriram Siddardh Nadendla, Casey I. Canfield
Computer Science Faculty Research & Creative Works
Modern kidney placement incorporates several intelligent recommendation systems which exhibit social discrimination due to biases inherited from training data. Although initial attempts were made in the literature to study algorithmic fairness in kidney placement, these methods replace true outcomes with surgeons' decisions due to the long delays involved in recording such outcomes reliably. However, the replacement of true outcomes with surgeons' decisions disregards expert stakeholders' biases as well as social opinions of other stakeholders who do not possess medical expertise. This paper alleviates the latter concern and designs a novel fairness feedback survey to evaluate an acceptance rate predictor (ARP) …
A Hybrid Algorithm To Dual Sparse Sampling Measurement In Time-Resolved Electromagnetic Near-Field Scanning, Yanming Zhang, Steven Gao, Lijun Jiang
A Hybrid Algorithm To Dual Sparse Sampling Measurement In Time-Resolved Electromagnetic Near-Field Scanning, Yanming Zhang, Steven Gao, Lijun Jiang
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Time-resolved electromagnetic near-field scanning is vital for antenna measurement and addressing complex electromagnetic interference and compatibility issues. However, the swift acquisition of high-resolution spatiotemporal data remains challenging due to physical constraints, such as moving the probe position and allowing sufficient time for sampling. This paper introduces a novel hybrid approach that combines Kriging for sparse spatial measurement, compressed sensing (CS) for sparse temporal sampling, and dynamic mode decomposition (DMD) for a comprehensive analysis of dual-sparse sampling electromagnetic near-field data. CS optimizes sparse sampling in the time domain, capitalizing on the inherent sparsity within electromagnetic radiated signals, resulting in reliable representation …
A Data-Driven Approach To Time-Domain Electromagnetic Modeling Based On Dynamic Mode Decomposition, Yanming Zhang, Steven Gao, Lijun Jiang
A Data-Driven Approach To Time-Domain Electromagnetic Modeling Based On Dynamic Mode Decomposition, Yanming Zhang, Steven Gao, Lijun Jiang
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
This paper presents a data-driven methodology that utilizes Dynamic Mode Decomposition (DMD) for the time-domain (TD) electromagnetic (EM) modeling of microwave devices. As an unsupervised machine learning technique, DMD leverages a limited set of unlabeled spatio-temporal electromagnetic (EM) data to determine DMD eigenvalues and eigenmodes. Then, the obtained DMD model reconstructs the dynamics as a series of exponential terms based on linear assumptions. The effectiveness of this approach is demonstrated through the TD EM modeling of photonic crystal waveguides. Comparative analysis with the finite-difference time-domain (FDTD) method shows that the DMD model not only achieves precise modeling but also facilitates …
Novel Re-Crosslinkable Preformed Particle Gels (Rppg) For Parent- And Infill-Well-Fracture Interactions Mitigation, Xiaojing Ge, Adel Alotibi, Ahmed Al-Hlaichi, Yanbo Liu, Tao Song, Junchen Liu, Baojun Bai, Thomas P. Schuman
Novel Re-Crosslinkable Preformed Particle Gels (Rppg) For Parent- And Infill-Well-Fracture Interactions Mitigation, Xiaojing Ge, Adel Alotibi, Ahmed Al-Hlaichi, Yanbo Liu, Tao Song, Junchen Liu, Baojun Bai, Thomas P. Schuman
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Hydraulic fracturing treatments in unconventional infill (or "child") wells can be significantly affected by depletion from existing parent-well, resulting in asymmetrical fracture growth. These issues may lead to excessive load-water production, proppant deposition, casing deformation in the parent well, and unbalanced stimulation of infill wells. To mitigate these effects, various strategies have been proposed, including the use of far-field diverters in child wells and repressurization of parent wells. Additionally, an increasingly popular strategy involves injecting near-wellbore diverters to temporarily plug entry points into the parent wellbores during frac operations on infill wells. To achieve better application, a novel low-cost, self-degradable, …
An Unsupervised Learning Framework For Determining The Excitation Coefficients Using Near-Field Antenna Measurements, Yanming Zhang, Peifeng Ma, Steven Gao, Lijun Jiang
An Unsupervised Learning Framework For Determining The Excitation Coefficients Using Near-Field Antenna Measurements, Yanming Zhang, Peifeng Ma, Steven Gao, Lijun Jiang
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
This article presents a novel unsupervised learning framework based on multiscale dynamic mode decomposition for determining the excitation coefficients of antennas using time-domain near-field measurements. The proposed framework integrates temporal multiscale analysis to extract a joint distribution of frequency, damping factors, and spatial modes, enabling precise extraction of excitation frequencies, rising/falling edges, and phases without labeled data. We validate the effectiveness of the proposed approach through two examples involving on-off keying modulation and a phase-shift dipole antenna. It is found that the proposed method performs well in handling nonstationary excitation signals and proves particularly advantageous for calibrating tunable antenna systems. …
Descriptive Statistical Analysis Of Experimental Data For Wettability Alteration With Smart Water Flooding In Carbonate Reservoirs, Muhammad Ali Buriro, Mingzhen Wei, Baojun Bai, Ya Yao
Descriptive Statistical Analysis Of Experimental Data For Wettability Alteration With Smart Water Flooding In Carbonate Reservoirs, Muhammad Ali Buriro, Mingzhen Wei, Baojun Bai, Ya Yao
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
Smart water flooding is a promising eco-friendly method for enhancing oil recovery in carbonate reservoirs. the optimal salinity and ionic composition of the injected water play a critical role in the success of this method. This study advances the field by employing machine learning and data analytics to streamline the determination of these critical parameters, which are traditionally reliant on time-intensive laboratory work. the primary objectives are to utilize data analytics to examine how smart water flooding influences wettability modification, identify key parameter ranges that notably alter the contact angle, and formulate guidelines and screening criteria for successful lab design. …
The Feasibility Of Motion Tracking Camera System For Magnetic Suspension Wind Tunnel Tests, Hisham M. Shehata, David Cox, Mark Schoenenberger, Colin Britcher, Eli Shellabarger, Timothy Schott, Brendan Mcgovern
The Feasibility Of Motion Tracking Camera System For Magnetic Suspension Wind Tunnel Tests, Hisham M. Shehata, David Cox, Mark Schoenenberger, Colin Britcher, Eli Shellabarger, Timothy Schott, Brendan Mcgovern
Mechanical & Aerospace Engineering Faculty Publications
The Entry Systems Modeling (ESM) Program at NASA has actively participated in the re-development of the Magnetic Suspension Balance System (MSBS) at the six-inch subsonic wind tunnel at NASA Langley Research Center. This initiative aims to enhance the MSBS system's capabilities, enabling the testing of stingless entry vehicle models at supersonic speeds. To achieve this, control algorithms are required to ensure magnetic levitation control and stability for models during free-oscillation dynamic responses. Currently, the system relies on electromagnetic position sensors to provide real-time 3 degrees of freedom control of a rigid body. While this approach has proven successful for subsonic …
Hardness Removal By A Continuous Flow Electrochemical Reactor From Different Types Of Water, Shahad Fadhil Alrubaye, Naseer A. Al Haboubi, Hussein A. Al-Amili, Aiman H. Al-Allaq, Dhuha Ahmed Mohammed
Hardness Removal By A Continuous Flow Electrochemical Reactor From Different Types Of Water, Shahad Fadhil Alrubaye, Naseer A. Al Haboubi, Hussein A. Al-Amili, Aiman H. Al-Allaq, Dhuha Ahmed Mohammed
Mechanical & Aerospace Engineering Faculty Publications
The present study focuses on the technique of hardness removal by using a novel reactor performing an electrocoagulation (EC) process. The variation of alkalinity is also recorded. Continuous flow experiments were conducted for Total Hardness (TH) removal using a transparent plastic reactor using aluminum plate electrodes that have holes so that the water flows through the plates in a zigzag way. The influence of various operating parameters such as the number of plates (two and four), flow rate (600, 1000 L/h), and water type (Tigris River & rejected water from Reverse Osmosis system RO) was investigated. The results showed that …
Development Of A Two-Finger Haptic Robotic Hand With Novel Stiffness Detection And Impedance Control, Vahid Mohammadi, Ramin Shahbad, Mojtaba Hosseini, Mohammad Hossein Gholampour, Saeed Shiry Ghidary, Farshid Najafi, Ahad Behboodi
Development Of A Two-Finger Haptic Robotic Hand With Novel Stiffness Detection And Impedance Control, Vahid Mohammadi, Ramin Shahbad, Mojtaba Hosseini, Mohammad Hossein Gholampour, Saeed Shiry Ghidary, Farshid Najafi, Ahad Behboodi
Mechanical & Aerospace Engineering Faculty Publications
Haptic hands and grippers, designed to enable skillful object manipulation, are pivotal for high-precision interaction with environments. These technologies are particularly vital in fields such as minimally invasive surgery, where they enhance surgical accuracy and tactile feedback: in the development of advanced prosthetic limbs, offering users improved functionality and a more natural sense of touch, and within industrial automation and manufacturing, they contribute to more efficient, safe, and flexible production processes. This paper presents the development of a two-finger robotic hand that employs simple yet precise strategies to manipulate objects without damaging or dropping them. Our innovative approach fused force-sensitive …
Factors Affecting Electrocoagulation Process For Different Water Types: A Review, Shahad Fadhil Abed Al-Rubaye, Naseer A. Alhaboubi, Aiman H. Al-Allaq
Factors Affecting Electrocoagulation Process For Different Water Types: A Review, Shahad Fadhil Abed Al-Rubaye, Naseer A. Alhaboubi, Aiman H. Al-Allaq
Mechanical & Aerospace Engineering Faculty Publications
Raw water must meet specific physical, chemical, and biological requirements to be suitable for drinking. There are various techniques available for treating wastewater, and aside from conventional methods that involve chemicals, electrocoagulation is an efficient and advanced approach. Electrocoagulation has proven effective in treating many pollutants, including bacteria, viruses, iron, fluoride, sulfate, boron, hardness, and turbidity. Total suspended solids, organic and inorganic materials, chemical oxygen demand COD, biochemical oxygen demand BOD, and color. It finds extensive application in treating different types of water and wastewater due to its exceptional ability to remove diverse contaminants. Recently, electrocoagulation has garnered significant attention …
Effects Of Electron Beam Irradiation On Crmnv And Crmntiv High Entropy Alloys: Nano-Mechanical, Structural, And Thermodynamic Perspectives, N. A. Sultana, Y. S. Mohammed, S. J. Pendleton, J. Vennekate, G. Ciovati, X. Li, H. Baumgart, A. A. Elmustafa
Effects Of Electron Beam Irradiation On Crmnv And Crmntiv High Entropy Alloys: Nano-Mechanical, Structural, And Thermodynamic Perspectives, N. A. Sultana, Y. S. Mohammed, S. J. Pendleton, J. Vennekate, G. Ciovati, X. Li, H. Baumgart, A. A. Elmustafa
Mechanical & Aerospace Engineering Faculty Publications
Beam exit windows are crucial components of any particle accelerator as they provide an interface between the beamline vacuum and target material at atmospheric media. For high beam power machines, special materials and designs are required to withstand high radiation and mechanical loads, while minimizing energy loss during transition and maximizing window lifetime. This research investigates the impact of electron beam exposure to bulk CrMnV and CrMnTiV high entropy alloys (HEAs) with the primary goal of identifying suitable candidate materials for the design of robust and durable exit window settings. The selection criteria include intrinsic characteristics, power dissipation, and mechanical …
Deep Learning For Uav Detection And Classification Via Radio Frequency Signal Analysis, Prajoy Podder, Maciej Zawodniok, Sanjay Madria
Deep Learning For Uav Detection And Classification Via Radio Frequency Signal Analysis, Prajoy Podder, Maciej Zawodniok, Sanjay Madria
Electrical and Computer Engineering Faculty Research & Creative Works
Unmanned Aerial Vehicles (UAVs) are advertised as great tool that benefits society and humanity. However, UAVs also pose significant security threats ranging from privacy invasions, to interfering with commercial aircraft landing and takeoff, to accidently crashing into vehicles or people, to military or terrorist attacks. Consequently, there is a pressing need to detect and identify UAVs to mitigate such potential risks. While image-based methods are crucial for UAV detection, radio frequency (RF) emissions offer additional valuable insights. Analyzing RF signals, such as those used in UAV-ground station communications, can provide information about UAV types based on distinct frequency usage or …