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Articles 6541 - 6570 of 196957
Full-Text Articles in Entire DC Network
Experimental Study On The Improvement Of Bearing Capacity Of Soft Clay By Using Reinforced Sand Cushion Resting On Encased Stone Columns, Gihan Elsayed Abdelrahman, Youssef Gomaa Youssef, Mahmoud Eid Abd
Experimental Study On The Improvement Of Bearing Capacity Of Soft Clay By Using Reinforced Sand Cushion Resting On Encased Stone Columns, Gihan Elsayed Abdelrahman, Youssef Gomaa Youssef, Mahmoud Eid Abd
HBRC Journal
Soft clay deposits present challenges such as high settlement and low bearing capacity in construction projects. Various techniques, including stone columns and encased stone columns, have been developed to reduce settlement and enhance bearing capacity in soft clay soils having cohesion (Cu) less than 25 KPa. This research investigates the use of ordinary stone columns and encased stone columns through experimental modeling. Additionally, the study aims to enhance the bearing capacity of soft clay soil by using reinforced sand cushion resting on encased stone columns. A series of tests were conducted with various parameters such as geosynthetic materials, column diameter, …
Assessment Of The Relationship Between Performance Attributes And The Social Sustainability Framework Of Construction Projects, Van Luy Tong, Truong Van Luu
Assessment Of The Relationship Between Performance Attributes And The Social Sustainability Framework Of Construction Projects, Van Luy Tong, Truong Van Luu
HBRC Journal
The study addresses the missing aspect of assessing social sustainability in construction project performance evaluation. While environmental and economic aspects have been widely considered, social sustainability remains largely unexplored. The study seeks to analyze whether 11 performance attributes (including 5 short-term project performance attributes and 6 long-term project performance attributes) in the construction project performance model being implemented in Vietnam reflect social sustainability in construction projects. The study applies structural equation modeling (SEM) to examine the relationship between these 11 performance attributes and the social sustainability criteria framework. A questionnaire was designed to collect data from stakeholders involved in construction …
Geophysical Characterization Of Soil Properties For Infrastructure Development: A Ves Study At The Awfi City Electrical Station, Babylon, Iraq, Amer Atyah Al-Khalidy, Qassim Abed Al-Tamimi, Hussein Kh. Chlaib, Amer J. Al-Khafaji
Geophysical Characterization Of Soil Properties For Infrastructure Development: A Ves Study At The Awfi City Electrical Station, Babylon, Iraq, Amer Atyah Al-Khalidy, Qassim Abed Al-Tamimi, Hussein Kh. Chlaib, Amer J. Al-Khafaji
HBRC Journal
An electrical resistivity survey was conducted for the proposed Secondary Transformer Electrical Station project in Awfi City, Babylon Governorate, Iraq. Seven vertical electrical sounding (VES) profiles were acquired using the Schlumberger array with a spacing of 25 meters. The interpretation revealed 4 to 5 geoelectrical zones at each station, indicating significant variations in resistivity with depth. Low resistivity values (as low as 0.2 Ω.m at Station 4) correspond to clay-rich layers saturated with saline groundwater, typically increasing in concentration with depth. In contrast, high resistivity values (up to 36.3 Ω.m at Station 4) are associated with silt and …
High User Perception Of The Social Housing Of The State Intervenor In The South Suburban Zone, Tamaulipas, Mexico, Laura Del Carmen Moreno-Chimely, Yolanda Guadalupe Aranda-Jiménez, Carlos Alberto Fuentes-Pérez
High User Perception Of The Social Housing Of The State Intervenor In The South Suburban Zone, Tamaulipas, Mexico, Laura Del Carmen Moreno-Chimely, Yolanda Guadalupe Aranda-Jiménez, Carlos Alberto Fuentes-Pérez
HBRC Journal
Uninhabited social housing in the Southern Conurbation Zone of the state of Tamaulipas, Mexico (Tampico, Altamira) reflects 21.19%. Currently 11.32% is located in Altamira in subdivisions built by the private sector during the facilitator state. The social housing of the public sector of the intervenor state by governmental institutions such as INFONAVIT and FOVISSSTE, located in Tampico with more than 50 years old are almost entirely inhabited even with deteriorated constructive characteristics and economic depreciation. The objective of the research is to analyze the perception of the users of the housing state intervenor prior to 1992 and state facilitator 1993–2010 …
Sulfurized Serpentine And Perovskite Assisted Graphitic Carbon Nitride Nanocomposites For Photocatalytic Green Hydrogen Production, Yahia Alanizan
Sulfurized Serpentine And Perovskite Assisted Graphitic Carbon Nitride Nanocomposites For Photocatalytic Green Hydrogen Production, Yahia Alanizan
Thesis/ Dissertation Defenses
Green hydrogen production has received great attention in recent years as a solution to mitigate greenhouse gas emissions resulted by burning fossil fuels. This thesis focuses on development of photocatalytic water splitting green hydrogen production under visible light irradiation of g-C3N4 based sulfurized naturally occurring serpentine rock and oxysulfide perovskite nanocomposites. This work reveals the effect of partial sulfurization of co-catalysts to boost charge generation, charge transfer, and light absorption. The presented work determined the potential of sulfurizing naturally occurring rocks and minerals acting as support and enhanced co-catalysts that exhibit narrower band gaps, with sulfur rich sites for visible …
Blind Medical Image Watermarking Method Using Combined Nsct/2d-Dct Domains, Ali Kouadri, Ali Benziane, Abdelhalim Rabehi, Mohamed Lebcir
Blind Medical Image Watermarking Method Using Combined Nsct/2d-Dct Domains, Ali Kouadri, Ali Benziane, Abdelhalim Rabehi, Mohamed Lebcir
Iraqi Journal for Computer Science and Mathematics
This paper presents a novel blind watermarking framework that combines Non-Subsampled Contourlet Transform (NSCT) and 2D Discrete Cosine Transform (DCT) domains. The proposed method embeds the watermark’s data within low-frequency coefficients of sub-vectors extracted from a concatenated NSCT/2D-DCT transforms processing. The embedding procedure involves simple differential processing which ensures a straightforward watermark extraction. Extensive testing across medical imaging modalities (X-ray, CT, MRI, ultrasound) confirmed strong imperceptibility and robustness against attacks like JPEG compression, noise, filtering, and geometric manipulations. Compared to contemporary techniques, our NSCT/2D-DCT method shows stronger robustness against attacks without compromising diagnostic quality, proving its viability for medical image …
The Environmental Integration - An Introduction To The Sustainability Of The Urban Heritage Of Nubia (Applied To Gharb Suhail), Ahmed Mohamed Said Elsaadany
The Environmental Integration - An Introduction To The Sustainability Of The Urban Heritage Of Nubia (Applied To Gharb Suhail), Ahmed Mohamed Said Elsaadany
Mansoura Engineering Journal
The Nubia region is an important historical and cultural place, as it is distinguished by a unique architectural heritage. The influence of the surrounding environment on the designs of buildings and structures in this region is evident. Traditional architecture arose spontaneously over long periods of time, but it was essentially based on correct scientific concepts. The architecture of Nubia in southern Egypt, which is located on the banks of the Nile River, was a mud architecture that used natural building materials from the environment influenced by Ancient Egyptian architecture, some influences from Islamic architecture represented in privacy and courtyard in …
Upcycling Carbide Slag Waste For Low-Temperature Co2 Sequestration: Direct Application And Adsorption After Chemical Alteration, Manisha Sukhraj Kothari
Upcycling Carbide Slag Waste For Low-Temperature Co2 Sequestration: Direct Application And Adsorption After Chemical Alteration, Manisha Sukhraj Kothari
Thesis/ Dissertation Defenses
Excessive carbon dioxide (CO₂) emissions and large-scale industrial waste generation are the results of rapid industrialization and ever-increasing energy demand. The recent trend of repurposing waste materials for pollution prevention is a promising approach to address both these environmental challenges. One such industrial waste residue generated from acetylene gas production is called carbide slag (CS). Its high Ca(OH)₂ content presents a promising opportunity for its utilization in CO₂ sequestration. However, CS waste is primarily studied as a CaO source for the intensive Ca-looping process. Despite the great potential, the high temperature requirements of the Ca-looping process limit its industrial application. …
An Enhanced Cyber Security For Finger Knuckle Print Recognition System Using Rubik’S Cube With Rabbit Encryption Algorithm, Haitham Salman Chyad, Tarek Abbes
An Enhanced Cyber Security For Finger Knuckle Print Recognition System Using Rubik’S Cube With Rabbit Encryption Algorithm, Haitham Salman Chyad, Tarek Abbes
Iraqi Journal for Computer Science and Mathematics
Cybersecurity in biometric systems is an urgent requirement due to their increasing use in identity verification, especially in smartphones, surveillance systems, and electronic transactions. These systems depend on distinctive and immutable biological features, such as fingerprints, Knuckles and facial features, making them potential targets for cyberattacks. In this context, the need to develop advanced security mechanisms, including encryption, forgery detection, and multi-factor authentication, has emerged to guarantee the confidentiality of biometric data and protect it from identity theft or manipulation. This trend emphasizes the need to integrate cybersecurity and biometric technologies to secure and ensure the reliability of systems in …
Fusion Of Simulation And Ai Methods For Understanding Hov/Hot Lane Operational Flow Dynamics, Deo Chimba, Therezia Matongo, Hellen Shita, Erickson Senkondo, Masanja Madalo, Afia Yeboah
Fusion Of Simulation And Ai Methods For Understanding Hov/Hot Lane Operational Flow Dynamics, Deo Chimba, Therezia Matongo, Hellen Shita, Erickson Senkondo, Masanja Madalo, Afia Yeboah
Civil and Architectural Engineering Faculty Research
This study investigated the impact of converting High Occupancy Vehicle (HOV) lanes to High Occupancy Toll (HOT) lanes on fundamental traffic flow characteristics, focusing on speed, density, and flow relationships. A 25-mile HOV corridor along I-24 Westbound in Nashville, Tennessee was evaluated using both microscopic simulation via VISSIM and data-driven machine learning through a Multi-Layer Perceptron (MLP) neural network. Four operational scenarios were assessed: (1) HOV lanes without enforcement, (2) HOV lanes with effective occupancy enforcement, (3) HOT lanes with limited access points, and (4) HOT lanes with intermediate access points. Flow-density and speed-flow relationships were modeled using Greenshields theory …
Retrieval Augmented Framework For Deepfake Audio Detection, Avinash Saxena
Retrieval Augmented Framework For Deepfake Audio Detection, Avinash Saxena
Master's Theses
The widespread use of AI-based audio deepfakes threatens severely to undermine media integrity and public trust. Speech synthesis techniques have improved dramatically in voice conversion (VC) and text-to-speech (TTS) in recent years, making forgeries sound highly realistic, and concerns are raised about possible malevolent uses. Existing state-of-the-art techniques for identifying fake speech have proven to be effective in some cases but are still limited in application and robustness when faced with novel attacking strategies, different acoustic conditions, or alternative linguistic domains. To address some of these limitations, the current research presents a novel deepfake audio detection system based on personalized …
Development Of A Digestion Procedure Using Fe2+ Ions For Electrochemical Detection Of Mno2 Particles In Drinking Water, Kayla Elliott, Sarah Jane Payne, Zhe She
Development Of A Digestion Procedure Using Fe2+ Ions For Electrochemical Detection Of Mno2 Particles In Drinking Water, Kayla Elliott, Sarah Jane Payne, Zhe She
Journal of Electrochemistry
Developing methods for detection contaminants in drinking water is essential to ensuring that safe and acceptable quality drinking water is delivered to consumers. While manganese (Mn) was previously known only as a mere aesthetic issue, recent epidemiological data has shown to have negative neurological effects on humans, especially on children, prompting new health-based guidelines by Health Canada and the World Health Organization. In drinking water, Mn exists predominantly as Mn(II) and Mn(IV), and is regulated based on total Mn levels. Interestingly, measurement of Mn particulate using electroanalytical methods has not yet been reported in the literature. Herein, a digestion procedure …
Regulating Lithium Metal Nucleation And Growth For Dendrite Suppression: From Liquid-Electrolyte To Solid-State Batteries, Ao Du, Juan Zhang, Pan Xu, Ya-Jie Li, Kang-Yu Yi, Zhen-Zhen Shen, Hui-Lin Ge, Guang-Wen Zhang, Chao-Hui Zhang, Yu-Hao Wang, Chen-Zi Zhao, Meng-Yang Xu, Yu-Lin Jie, Rui Wen, Shu-Hong Jiao, Si-Qi Shi, Qiang Zhang, Chun-Peng Yang, Yu-Guo Guo
Regulating Lithium Metal Nucleation And Growth For Dendrite Suppression: From Liquid-Electrolyte To Solid-State Batteries, Ao Du, Juan Zhang, Pan Xu, Ya-Jie Li, Kang-Yu Yi, Zhen-Zhen Shen, Hui-Lin Ge, Guang-Wen Zhang, Chao-Hui Zhang, Yu-Hao Wang, Chen-Zi Zhao, Meng-Yang Xu, Yu-Lin Jie, Rui Wen, Shu-Hong Jiao, Si-Qi Shi, Qiang Zhang, Chun-Peng Yang, Yu-Guo Guo
Journal of Electrochemistry
Lithium metal anodes, with a theoretical capacity of up to 3860 mAh·g−1, are regarded as the cornerstone for developing next-generation high-energy-density batteries. However, several key challenges hinder their practical applications, including dendrite formation, unstable solid electrolyte interphase (SEI), side reactions with electrolytes, and associated safety risks. This review systematically explores the mechanisms of lithium nucleation, growth, and stripping in both liquid and solid-state battery systems, analyzing critical theoretical concepts like heterogeneous nucleation thermodynamics, surface diffusion kinetics, space charge effects, and SEI-induced nucleation, which are crucial for understanding the genesis of dendrite growth. Additionally, the review discusses the electrochemical-mechanical …
Biocompatible And Antibacterial Pcl-Tio2@Ag/Γ-Cd Mof Nanocomposite Coating For Corrosion Resistance Of Magnesium Alloy In Simulated Body Fluid, Sara Dehghan-Chenar, Hamid R. Zare, Zahra Mohammadpour, Maryam Sadat Mirbagheri-Firoozabad
Biocompatible And Antibacterial Pcl-Tio2@Ag/Γ-Cd Mof Nanocomposite Coating For Corrosion Resistance Of Magnesium Alloy In Simulated Body Fluid, Sara Dehghan-Chenar, Hamid R. Zare, Zahra Mohammadpour, Maryam Sadat Mirbagheri-Firoozabad
Journal of Electrochemistry
Magnesium alloys are promising candidates for bio-implant applications due to their biodegradability and biocompatibility. However, their rapid corrosion remains a critical limitation. This study presents the development of a multifunctional nanocomposite coating designed to enhance the corrosion resistance and antibacterial properties of magnesium alloy implants. The coating comprised γ-cyclodextrin metal-organic frameworks (γ-CD MOFs) decorated with TiO2@Ag core-shell nanoparticles, embedded in a polycaprolactone (PCL) matrix. Immersion tests in a simulated body fluid (SBF) revealed an initially higher corrosion rate for the PCL-TiO2@Ag/γ-CD MOF coating compared to the coating without TiO2@Ag nanoparticles; however, it demonstrated significant …
Fluorosilane-Induced Softening And Collapse Of Micropillar Arrays, Gabriela Moreira Lana, Maja Fehlberg, Petra Herbeck-Engel, Gisela Heppe, Raimund Schlüßler, Torsten Jähnke, Eduard Arzt, Roland Bennewitz
Fluorosilane-Induced Softening And Collapse Of Micropillar Arrays, Gabriela Moreira Lana, Maja Fehlberg, Petra Herbeck-Engel, Gisela Heppe, Raimund Schlüßler, Torsten Jähnke, Eduard Arzt, Roland Bennewitz
Chemical and Biochemical Engineering Faculty Research & Creative Works
Replica molding is a widely used technique for the fabrication of polymer microstructures. As structural dimensions decrease, anti-stick surface treatment of the mold becomes increasingly critical to ensure clean demolding and preserve structural integrity. We fabricated arrays of micropillars with 20 µm diameter and 60 µm height using medical-grade polydimethylsiloxane (PDMS), MDX4-4210, and observed a high fraction of collapsed pillars for the first molding after fluorosilanization of the mold to reduce sticking. To address this issue, we systematically investigated the surface treatment protocol for the molds, made from the PDMS Sylgard 184. We provide results from complementary measurement methods, to …
Groundwater Quality And Health Risk Assessment In The Fujairah Region Using Hydrogeochemical, Statistical, And Spatial Approaches, Mohammed Khaled Alawlaqi
Groundwater Quality And Health Risk Assessment In The Fujairah Region Using Hydrogeochemical, Statistical, And Spatial Approaches, Mohammed Khaled Alawlaqi
Thesis/ Dissertation Defenses
Groundwater is a valuable resource in the arid climate of the United Arab Emirates, where growing population, agricultural, and industrial activities are putting increasing pressure on limited groundwater reserves. This study investigates the hydrogeochemical characteristics of groundwater in the Fujairah region, with a particular focus on major ions and trace metals, to assess water quality and potential health risks. A total of 64 groundwater samples were collected from the Eastern Shallow Aquifer (ESA) and the Ophiolite aquifer in the study area and were analyzed for physicochemical parameters, major ions, and trace metals. Hydrogeochemical interpretation was conducted using Piper, Gibbs, Chadha, …
Enhancement Of Aeration And Activated Sludge Processes Using Micronanobubbles For Efficient Wastewater Treatment, Marwa Ahmed Abdelhamid
Enhancement Of Aeration And Activated Sludge Processes Using Micronanobubbles For Efficient Wastewater Treatment, Marwa Ahmed Abdelhamid
Thesis/ Dissertation Defenses
Aeration is considered one of the most reliable and efficient processes in wastewater treatment. However, conventional aeration systems show low performance with respect to the gas transfer during the treatment process. This poses a challenge in maintaining sufficient dissolved oxygen (DO) concentrations essential for the treatment. The use of micronanobubbles (MNBs) in the aeration process has been proposed as effective tool in water and wastewater treatment owing to their stability and longevity. MNBs’ stability is a distinctive property resulting from several mechanisms, including the repulsion force due to charged surfaces that helps bubbles to resist coalescence/bursting. MNBs’ longevity is represented …
Investigation Of Mechanical Performance And Metallurgical Characteristics Of Titanium Grade 2 Tube-To-Tubesheet Joints, Ahmad Hussein Al Tamimi
Investigation Of Mechanical Performance And Metallurgical Characteristics Of Titanium Grade 2 Tube-To-Tubesheet Joints, Ahmad Hussein Al Tamimi
Thesis/ Dissertation Defenses
Tube-to-tubesheet joints, an integral component of shell and tube heat exchangers, are known for their vulnerability to leakage problems at the joint region due to mechanical and chemical factors coupled with fabrication techniques involved in creating these joints. An ideal condition of manufacturing process parameters and geometrical variables required to produce tube-to-tubesheet joints is highly desired. One of the most promising candidate materials to fabricate tube-to-tubesheet joints is titanium or titanium alloys due to their excellent strength and resistance to corrosion. The present study investigates the structural integrity of three categories of Titanium Grade 2 based tube-to-tubesheet joints comprising of …
Thermo-Chemical Recycling Of Waste Plastics Containing Halogenated Polymers (Br−, Cl−, F−) Using Potential Additives, Mohamed Shafi
Thermo-Chemical Recycling Of Waste Plastics Containing Halogenated Polymers (Br−, Cl−, F−) Using Potential Additives, Mohamed Shafi
Thesis/ Dissertation Defenses
Plastic waste handling is a daunting task due to the presence of halogenated polymers, specifically those cluttered with bromine (Br), chlorine (Cl), and fluorine (F). Halogenated plastics can be mixed with other polymers in the general plastic waste, particularly in the recycling stream. Brominated flame retardants (BFRs) are mainly present in e-waste and from the use of flame retardants in household items, textiles, and furniture. Plastics from discarded electronics often contain significant levels of bromine and chlorine, predominantly from flame retardants and plasticizers. Being the most deployed thermoplastic worldwide, waste polyvinyl chloride (PVC) generation is expected to increase by about …
Synthesis Of Sustainable Self-Foaming Glass Ceramics Using Waste Glass And Aluminium Dross, Abba Musa Hassan
Synthesis Of Sustainable Self-Foaming Glass Ceramics Using Waste Glass And Aluminium Dross, Abba Musa Hassan
Student Works (2020-2029)
The growing global demand for sustainable materials has driven extensive research into lightweight insulating materials, such as self-foaming glass ceramics (SFGCs), which align closely with the principles of a circular economy. While the alkali activation of aluminosilicates offers an environmentally friendly alternative to conventional, energy-intensive industrial methods for producing glass-based foams, current approaches often depend on synthetic foaming agents, high-speed agitation, and elevated sintering temperatures. These factors adversely affect slurry rheology, resulting in suboptimal microstructures, reduced mechanical strength, increased production costs, and negative environmental impacts. This study contributes to the advancement of the field by developing eco-friendly SFGCs using soda-lime …
Transdisciplinary Perspectives On Ai: The Fourth Annual Conference Of The European Culture And Technology Laboratory, Connell Vaughan, Ioana Madalina Moldovan, Silivan Moldovan, Noel Fitzpatrick
Transdisciplinary Perspectives On Ai: The Fourth Annual Conference Of The European Culture And Technology Laboratory, Connell Vaughan, Ioana Madalina Moldovan, Silivan Moldovan, Noel Fitzpatrick
Books/Book Chapters
The fourth annual conference of the ECT Lab+ was hosted by Technical University of Cluj-Napoca over two days in October 2024 at the Cluj Innovation Park. The conference brought together experts from the Arts, Humanities, Social Sciences, Technology, and other fields to discuss and reflect on the advent of Artificial Intelligence and how the associated technologies are transforming how we live, work and study. Under the title Transdisciplinary perspectives on AI: Alternative Histories, Current Practices and Possible Futures the conference moved beyond simplistic technophila and technophobia to consider whether we can co-evolve with these new technologies which combine machine learning …
Potential Use Of Waste-Derived Products In Producing Geopolymer Sorbents, Mariam Mohammed Al Nuaimi
Potential Use Of Waste-Derived Products In Producing Geopolymer Sorbents, Mariam Mohammed Al Nuaimi
Thesis/ Dissertation Defenses
Environmental sustainability and the circular economy are central to addressing global challenges in waste management and water pollution. This study investigates the synthesis and performance of geopolymers derived from industrial wastes, including fly ash, waste glass, silt deposits, and carbide lime, as adsorbents for methylene blue (MB) dye removal from water. Geopolymers were engineered under varying particle sizes, NaOH addition methods, and curing temperatures. Their physicochemical and microstructural properties were thoroughly characterized via scanning electron microscopy (SEM), X-ray diffraction (XRD), X-ray fluorescence (XRF), Fourier Transform Infrared Spectroscopy (FTIR), andparticle size analysis (PSA). Among the tested formulations, the sodium silicate–sodium hydroxide …
Evolving Towards Efficient Technologies In Power Systems: The Paradigm Of Energy Internet Survey, Dina Emad, Omar Abdel-Rahim, Tanemasa Asano, Sobhy M. Abdelkader
Evolving Towards Efficient Technologies In Power Systems: The Paradigm Of Energy Internet Survey, Dina Emad, Omar Abdel-Rahim, Tanemasa Asano, Sobhy M. Abdelkader
Mansoura Engineering Journal
The Energy Internet represents a significant advancement in the modernization and automation of electricity systems, offering a framework for future smart grids where all electrical devices are interconnected through energy routers. This system integrates advanced power electronics, information technology, and smart control technologies, enabling the accommodation of diverse energy sources and storage devices. With its bidirectional energy flow and sharing capabilities, the Energy Internet holds great promise for the future. However, several challenges must be addressed to fully realize this potential. This review provides an overview of the Energy Internet framework and explores key challenges, particularly those related to energy …
Flash Effect Is Diminished By Daily Fractionation Of Electron Rt In Mouse Skin, Aleksandra Ilina, William S. Thomas, Xu Cao, Matthew S. Reed, Kendall Jarvis, Albert Van Der Kogel, Nathaniel Van Asselt, Wesley S. Culberson, Brian W. Pogue
Flash Effect Is Diminished By Daily Fractionation Of Electron Rt In Mouse Skin, Aleksandra Ilina, William S. Thomas, Xu Cao, Matthew S. Reed, Kendall Jarvis, Albert Van Der Kogel, Nathaniel Van Asselt, Wesley S. Culberson, Brian W. Pogue
Dartmouth Scholarship
Objective. While FLASH radiotherapy is known to reduce skin damage in vivo from ultra-high dose rate (UHDR) irradiation relative to conventional dose rates (CDR), it is not clear whether this sparing is preserved when delivered as fractionated. This study was designed to directly assess whether three daily fractions would maintain the sparing effects in murine leg models and preserve the murine skin sparing with single fraction treatments. Approach. C57Bl/6j female mice were irradiated with 9 MeV UHDR and CDR beams from a FLASH-capable Mobetron system, in a dose escalation study with doses ranging from single dose 22–30 Gy in a …
A Low-Cost Fault-Ride-Through Strategy For Electric Vehicle Inverters Using Four-Switch Topology, Ehab Bayoumi
A Low-Cost Fault-Ride-Through Strategy For Electric Vehicle Inverters Using Four-Switch Topology, Ehab Bayoumi
Mechanical Engineering
This paper presents a fault-tolerant control strategy that dynamically reconfigures the proposed system, and the inverter leg with a fault is isolated through a MOSFET-based clamping branch. With the use of a modified Vector Control (VC) and Pulse-Width Modulation (PWM) technique, the remaining two phases can continue operating. MATLAB/Simulink is used to create a thorough simulation model that examines various fault scenarios and evaluates how well the control process adjusts to each one. The obtained findings demonstrate that, in the event of a fault, the system can maintain accurate speed regulation, maintain a tolerable current balance, and deliver steady torque. …
Blockchain In Smart Cities, Shamma Alnuaimi
Blockchain In Smart Cities, Shamma Alnuaimi
Thesis/ Dissertation Defenses
This thesis explores the integration of blockchain technology with smart cities to enhance efficiency, transparency, and reliability. The basic principles of blockchain, its layered architecture, consensus protocols, and decentralized security are first reviewed. The thesis then highlights how blockchain features can be integrated with urban and energy systems. The research focuses on how token economy can be used with smart cities to promote individuals to engage in desired behaviors by employing blockchain-based incentive mechanisms that can encourage responsible energy consumption.
The FairChain test system was developed and tested using blockchain technology and the Internet of Things (IoT) to demonstrate the …
A Feature-Free Deep Learning Approach For Midair Hand Gesture Recognition From Surface Electromyogram (Semg) Data, Yasir Altaf, Abdul Wahid, Mudasir Manzoor Kirmani
A Feature-Free Deep Learning Approach For Midair Hand Gesture Recognition From Surface Electromyogram (Semg) Data, Yasir Altaf, Abdul Wahid, Mudasir Manzoor Kirmani
Turkish Journal of Electrical Engineering and Computer Sciences
Midair hand gesture recognition plays a crucial role in applications such as sign language recognition and human-computer interaction, particularly for supporting individuals with partial or complete hearing loss. However, recognizing gestures in midair remains challenging due to the rapid and complex nature of hand movements. To address this, noninvasive techniques like surface electromyography (sEMG)—which captures muscle activity through sensors placed on the skin—have gained attention. sEMG provides rich time-series data that reflect both spatial and temporal muscle dynamics. In this study, we propose a deep learning architecture that combines convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to classify …
Integrated Log Spectrogram Convolutional Neural Network (Ils-Cnn) For Robust Spoken Digit Recognition, Awais Ahmed
Integrated Log Spectrogram Convolutional Neural Network (Ils-Cnn) For Robust Spoken Digit Recognition, Awais Ahmed
Turkish Journal of Electrical Engineering and Computer Sciences
Spoken digit recognition (SDR), a type of supervised automatic speech recognition, is essential for various human-machine interaction applications, including banking operations, dialing systems, price extraction, and airline reservation systems. However, designing an effective SDR system presents several challenges, such as developing labeled audio data, selecting appropriate feature extraction methods, and creating high-performance models. To overcome these challenges, a novel approach for robust spoken digit recognition using an integrated log spectrogram convolutional neural network (ILS-CNN) has been proposed. The proposed work presents an efficient SDR method by taking advantage of a log spectrogram layer directly within the neural network to enhance …
Railway Track Condition Monitoring Based On Sensor Data And Artificial Neural Networks, Ivan Kots, Alina Isaeva, Mark Denisenko, Alexander Sinyukin, Andrey Kovalev
Railway Track Condition Monitoring Based On Sensor Data And Artificial Neural Networks, Ivan Kots, Alina Isaeva, Mark Denisenko, Alexander Sinyukin, Andrey Kovalev
Turkish Journal of Electrical Engineering and Computer Sciences
Monitoring the condition of engineering objects is one of the urgent tasks of industry, construction, and transport infrastructure. This article describes a system for condition monitoring and diagnostics of rail tracks in real time. Compared with other similar studies, the proposed system has the advantages of compactness, usability, scalability and versatility of application. The proposed monitoring system is based on an Nvidia Jetson Nano embedded computing board and also includes inertial sensor modules, a microphone, a geolocation module, communication modules, an SSD storage device, and a battery. The prototype of the diagnostic module is a portable device that can be …
Modeling And Simulation Of Dynamic Energy Management Systems For Smart Buildings, Onur Özel, Ali̇ Rifat Boynueğri̇, Hayri̇ Yi̇ği̇t, Burak Tekgün
Modeling And Simulation Of Dynamic Energy Management Systems For Smart Buildings, Onur Özel, Ali̇ Rifat Boynueğri̇, Hayri̇ Yi̇ği̇t, Burak Tekgün
Turkish Journal of Electrical Engineering and Computer Sciences
This study presents a dynamic energy management system tailored for smart residential buildings, integrating thermal and electrical models to achieve both natural gas and electricity bill cost reduction. By harnessing wind and solar energy sources, the system aims to meet the diverse energy needs of modern homes. Through load shifting and thermal storage strategies, known as power-to-heat (P2H) approaches, the system ensures efficient renewable energy utilization while maintaining resident comfort. Validation of the proposed system was conducted using real-world data from the Yıldız Technical University Smart Home Laboratory, demonstrating its practical applicability and effectiveness. Results indicate significant reductions in both …