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Articles 5971 - 6000 of 8613
Full-Text Articles in Engineering
Computational Model Of Coarctation Of The Aorta In Rabbits Suggests Persistent Ascending Aortic Remodeling Post-Correction, Ashley A. Hiebing, Matthew A. Culver, John F. Ladisa, Colleen M. Witzenburg
Computational Model Of Coarctation Of The Aorta In Rabbits Suggests Persistent Ascending Aortic Remodeling Post-Correction, Ashley A. Hiebing, Matthew A. Culver, John F. Ladisa, Colleen M. Witzenburg
Biomedical Engineering Faculty Research and Publications
Coarctation of the aorta (CoA) is a common congenital cardiovascular lesion that presents as a localized narrowing of the proximal descending aorta. While improvements in surgical and catheter-based techniques have increased short-term survival, there is a high long-term risk of hypertension and a reduced average lifespan despite correction. Computational models can be used to estimate aortic remodeling and peripheral vascular compensation, potentially serving as key tools in developing a mechanistic understanding of the interplay between pre-treatment dynamics, post-treatment recovery, and long-term hypertension risk. In this study, we developed a lumped-parameter model of the heart and circulation to simulate CoA. After …
Preparation Of Mg-Doped Coffee Waste For Efficient Removal Of Methylene Blue And Lead From Water, Pengfei Li, Liang Zhao, Long Li, Kehan Xu, Jibran Iqbal, Zhenbang Tian, Xing Xing, Hui Li, Yaping Hou, Jie Wang, Manman Xu
Preparation Of Mg-Doped Coffee Waste For Efficient Removal Of Methylene Blue And Lead From Water, Pengfei Li, Liang Zhao, Long Li, Kehan Xu, Jibran Iqbal, Zhenbang Tian, Xing Xing, Hui Li, Yaping Hou, Jie Wang, Manman Xu
All Works
Water pollution, particularly from industrial sources, poses severe environmental and health risks, necessitating cost-effective and sustainable solutions. This study investigates the preparation and application of magnesium-doped coffee waste biochar (Mg-CW) for the removal of methylene blue (MB) and lead ions (Pb2+) from water. Mg-CW, synthesized via one-step pyrolysis at 300°C, demonstrated remarkable adsorption capacities of 1024.88 mg/g for MB and 349.59 mg/g for Pb2+. Adsorption efficiencies were optimal at pH 12 for MB and pH 5 for Pb2+, attributed to enhanced electrostatic interactions and complexation mechanisms. Regeneration studies revealed that Mg-CW retains over 95% adsorption efficiency after multiple cycles, highlighting …
Smart Highway Construction Site Monitoring Using Artificial Intelligence, Mehran Mazari, Yahaira Nava-Gonzalez, Ly Jacky N. Nhiayi, Mohamad H. Saleh
Smart Highway Construction Site Monitoring Using Artificial Intelligence, Mehran Mazari, Yahaira Nava-Gonzalez, Ly Jacky N. Nhiayi, Mohamad H. Saleh
Mineta Transportation Institute
Construction is a large sector of the economy and plays a significant role in creating economic growth and national development,and construction of transportation infrastructure is critical. This project developed a method to detect, classify, monitor, and track objects during the construction, maintenance, and rehabilitation of transportation infrastructure by using artificial intelligence and a deep learning approach. This study evaluated the performance of AI and deep learning algorithms to compare their performance in detecting and classifying the equipment in various construction scenes. Our goal was to find the optimized balance between the model capabilities in object detection and memory processing requirements. …
Assessing The Perceived Safety Of Cyclists With Virtual Reality, Vahid Balali
Assessing The Perceived Safety Of Cyclists With Virtual Reality, Vahid Balali
Mineta Transportation Institute
In 2022, 7,522 pedestrians and 1,084 bicyclists were killed and approximately 67,000 pedestrians and 46,195 bicyclists injured in motor vehicle crashes on public roadways in the United States, according to the Insurance Institute for Highway Safety (IIHS). The transportation industry is faced with a pressing need to bolster the safety of these vulnerable road users. This research develops models of design and environmental factors that influence bicyclists’ and pedestrians’ perception of safety using Virtual Reality (VR) technology and ultimately informs transportation infrastructure design to better accommodate nonmotorized travelers. The goal of the bicycle element of this research is to develop …
Image Forensics And Alteration Detection Using Image Preprocessing-Assisted Deep Learning Models, Rabindra Pokharel
Image Forensics And Alteration Detection Using Image Preprocessing-Assisted Deep Learning Models, Rabindra Pokharel
Theses (2016-Present)
Technological advancements, combined with the widespread availability of digital images, have resulted in ubiquitous image forgery. The instances of forged images used for political propaganda, legal evidence manipulation, defamation of individuals, pornographic image creation of celebrities, and other actions that can cause social turmoil are proliferating. Verifying the integrity and authenticity of digital images is impractical for humans, necessitating the development of a robust image forgery detection model. This thesis demonstrates methods for copy-move, splicing, and deepfake image forgery detections by combining Error Level Analysis (ELA), Discrete Cosine Transformation (DCT), or Discrete Fourier Transformation (DFT) with a Deep Learning Convolutional …
Explainable Ai(Xai) In Genomic Medicine: Interpreting The Impact Of Genetic Variants On Breast Cancer Prognosis, Tooba Maryam Marith
Explainable Ai(Xai) In Genomic Medicine: Interpreting The Impact Of Genetic Variants On Breast Cancer Prognosis, Tooba Maryam Marith
Theses (2016-Present)
This study explores the integration of eXplainable Artificial Intelligence (XAI) techniques in genomic medicine to improve breast cancer prognosis and treatment decision-making. Using data from The Cancer Genome Atlas (TCGA), the research establishes a baseline through traditional machine learning (ML) models, including Random Forest (RF), Support Vector Classifier (SVC), Decision Tree, Naïve Bayes, K-Nearest Neighbors (KNN), and XGBoost. These models are evaluated for their predictive performance in assessing patient outcomes based on genetic variations. TCGA is a comprehensive public database that provides multidimensional genomic and clinical data for various cancer types, including breast cancer. It offers detailed molecular characterizations, such …
A Survey On Energy Efficient Medium Access Control For Acoustic Wireless Communication Networks In Underwater Environments, Walid K. Hasan, Iftekhar Ahmad, Daryoush Habibi, Quoc Viet Phung, Mohammad Al-Fawa'reh, Kazi Yasin Islam, Ruba Zaheer, Haitham Khaled
A Survey On Energy Efficient Medium Access Control For Acoustic Wireless Communication Networks In Underwater Environments, Walid K. Hasan, Iftekhar Ahmad, Daryoush Habibi, Quoc Viet Phung, Mohammad Al-Fawa'reh, Kazi Yasin Islam, Ruba Zaheer, Haitham Khaled
Research outputs 2022 to 2026
Underwater communication plays a crucial role in monitoring the aquatic environment on Earth. Due to their unique characteristics, underwater acoustic channels present unique challenges including lengthy signal transmission delays, limited data transfer bandwidth, variable signal quality, and fluctuating channel conditions. Furthermore, the reliance on battery power for most Underwater Wireless Acoustic Networks (UWAN) devices, coupled with the challenges associated with battery replacement or recharging, intensifies the challenges. Underwater acoustic communications are heavily constrained by available resources (e.g., very limited bandwidth, and limited energy storage). Consequently, the role of medium access control (MAC) protocol which distributes available resources among nodes is …
In-Situ Microstructural Evolution And Deformation Mechanisms Of Metastable Beta Titanium Fabricated By Laser Powder Bed Fusion Under Flexural Stress, H. Y. Ma, J. C. Wang, Y. J. Liu, Y. H. Li, Y. S. Zhang, X. C. Liu, L. C. Zhang
In-Situ Microstructural Evolution And Deformation Mechanisms Of Metastable Beta Titanium Fabricated By Laser Powder Bed Fusion Under Flexural Stress, H. Y. Ma, J. C. Wang, Y. J. Liu, Y. H. Li, Y. S. Zhang, X. C. Liu, L. C. Zhang
Research outputs 2022 to 2026
Compared to other loading conditions, studies on deformation mechanisms of additive manufacturing (AM)-produced β-type Ti alloys under bending remain limited. This study investigates a metastable β-type Ti–25Nb–3Zr–3Mo–2Sn (TLM, wt.%) alloy fabricated via laser powder bed fusion (L-PBF) during in-situ three-point bending. In-situ observations using scanning electron microscopy (SEM) combined with electron backscatter diffraction (EBSD) and ex-situ transmission electron microscopy (TEM) imaging during bending provided evaluation of microstructural changes and deformation mechanisms. These mechanisms are characterized by dislocation slip, {332}<113>β deformation twin, α" phase, and ω phase formation during plastic bending stage. The {112}<111> slip system dominates in the compression …111>113>
An Investigation Of The Mechanical Properties Of Concrete With Different Types Of Waste Plastics For Rigid Pavements, Nuha S. Mashaan, Cherrie Ann E. Ouano
An Investigation Of The Mechanical Properties Of Concrete With Different Types Of Waste Plastics For Rigid Pavements, Nuha S. Mashaan, Cherrie Ann E. Ouano
Research outputs 2022 to 2026
The increasing demand for sustainable construction practices has prompted the exploration of innovative materials, such as waste plastics, to enhance both the environmental and mechanical performance of concrete, particularly for rigid pavements. This review investigates the mechanical properties of concrete incorporating four types of waste plastics—high-density polyethylene (HDPE), low-density polyethylene (LDPE), polyvinyl chloride (PVC), and polypropylene (PP). The primary focus is on how these materials affect key mechanical properties, including compressive strength, tensile strength, and flexural strength. The analysis reveals that HDPE and PP, at optimal levels (5–10%), can enhance flexural and crack resistance, making them suitable for non-structural applications. …
Post-Irradiation Fault Injection For Complex Fpga Designs, Nathan G. Baker
Post-Irradiation Fault Injection For Complex Fpga Designs, Nathan G. Baker
Theses and Dissertations
Fault injection is a common technique for estimating the impact of single-event upsets (SEUs) within the configuration memory (CRAM) of an FPGA design. Fault injection is typically conducted prior to a radiation test to evaluate the effectiveness of SEU mitigation techniques, estimate the FPGA design's behavior at the radiation test, and prepare the radiation test infrastructure. This thesis explores how fault injection can be used after radiation testing to reveal additional insight into an FPGA's behavior during a radiation test. A unique methodology, referred to as post-irradiation fault injection (PIRFI), was developed in which the locations and timestamps of CRAM …
Dеvеlоpmеnt Аnd Simulаtiоn Оf Аutоmаtiс Tеmpеrаturе Соntrоl Sуstеms Fоr Sоlаr Drуеrs, Sarvar Rejabov, Botir Shukurillayevich Usmonov, Komil Usmanov
Dеvеlоpmеnt Аnd Simulаtiоn Оf Аutоmаtiс Tеmpеrаturе Соntrоl Sуstеms Fоr Sоlаr Drуеrs, Sarvar Rejabov, Botir Shukurillayevich Usmonov, Komil Usmanov
Chemical Technology, Control and Management
Thе utilizаtiоn оf sоlаr еnеrgу in thе drуing оf аgriсulturаl prоduсts is соnsidеrеd signifiсаnt duе tо its еnеrgу еffiсiеnсу аnd еnvirоnmеntаl friеndlinеss. Hоwеvеr, trаditiоnаl drуing mеthоds fасе сhаllеngеs in mаintаining stаblе tеmpеrаturе аnd humiditу lеvеls, whiсh саn lеаd tо rеduсеd prоduсt quаlitу аnd dесrеаsеd prосеss еffiсiеnсу. Tо аddrеss thеsе issuеs, thе implеmеntаtiоn оf аutоmаtiс соntrоl sуstеms is еssеntiаl. In dеvеlоping аn аutоmаtiс tеmpеrаturе соntrоl sуstеm fоr sоlаr drуеrs, thе hеаt аnd mаss trаnsfеr prосеssеs wеrе prесisеlу mоdеlеd. Thе primаrу pаrаmеtеrs оf thе drуing prосеss, suсh аs prоduсt tеmpеrаturе аnd mоisturе соntеnt dуnаmiсs, wеrе еxprеssеd thrоugh mаthеmаtiсаl еquаtiоns. PID аnd Fuzzу …
Principles And Models Of Construction Of Linear Motion Actuators With Holonomic Structure For Intelligent Robot Movement, Matyokubov Nurbek Rustamovich, Temurbek Omonboevich Rakhimov, Yusupov Bekmurod Bayotovich
Principles And Models Of Construction Of Linear Motion Actuators With Holonomic Structure For Intelligent Robot Movement, Matyokubov Nurbek Rustamovich, Temurbek Omonboevich Rakhimov, Yusupov Bekmurod Bayotovich
Chemical Technology, Control and Management
This article is devoted to the principles and models of building linear motion actuators with holonomic structure for the movement of intelligent robots. Also, the classification of the elements of the linear movement performance according to their interconnections and technical characteristics, taking into account their physical characteristics, was seen. A morphological matrix of the construction of holonomic structured linear motion performance elements based on the classification according to the considered technical specifications is presented. The given morphological matrix of linear motion actuators serves to develop new actuators for intelligent mechatronic and robotic systems. Based on the morphological matrix of the …
Methodology Of Automated Control Of Situations In Structurally Complex Systems With Recycled Flows, Khusan Zokirovich Igamberdiev Academician, Madina Mirxalilovma Fozilova
Methodology Of Automated Control Of Situations In Structurally Complex Systems With Recycled Flows, Khusan Zokirovich Igamberdiev Academician, Madina Mirxalilovma Fozilova
Chemical Technology, Control and Management
This article discusses the methodology of automated management of situations in structurally complex systems with recycled flows. The need to develop a correct model for effectively controlling such systems based on scientific principles of analysis and decision-making is substantiated. Particular attention is paid to modeling, optimizing, and using digital technologies, including artificial intelligence, to improve the accuracy and efficiency of management decisions. The principles of decomposition, multi-criteria optimization, and linguistic models of fuzzy correspondence are described, which can be used in conditions of uncertainty and complexity of industrial facilities.
Metal Nitrides As Cathode Hosts For Lithium-Sulfur Batteries, Hai-Ji Xiong, Cheng-Wei Zhu, Ding-Rong Deng, Qi-Hui Wu
Metal Nitrides As Cathode Hosts For Lithium-Sulfur Batteries, Hai-Ji Xiong, Cheng-Wei Zhu, Ding-Rong Deng, Qi-Hui Wu
Journal of Electrochemistry
Lithium-sulfur batteries are considered as one of the potential solutions as integrating renewable energy systems for large-scale energy storage because of their high theoretical energy density (2600 Wh·kg–1) and specific capacity (1675 mAh·g–1). Currently, various strategies have been proposed to overcome the technical barriers, e.g., “shuttle effect”, capacity decay and volumetric change, which impede the successful commercialization of lithium-sulfur batteries. This paper reviews the applications of metal nitrides as the cathode hosts for high-performance lithium-sulfur batteries, summarizes the design strategies of different host materials, and discusses the relationship between the properties of metal nitrides and their …
Enhancing Cycle Life Of Graphite ‖ Lifepo4 Batteries Via Copper Substituted Li2Ni1-XCuXO2 Cathode Prelithiation Additive, Jian-Ming Zheng, Jing-Wen Zhang, Tian-Peng Jiao
Enhancing Cycle Life Of Graphite ‖ Lifepo4 Batteries Via Copper Substituted Li2Ni1-XCuXO2 Cathode Prelithiation Additive, Jian-Ming Zheng, Jing-Wen Zhang, Tian-Peng Jiao
Journal of Electrochemistry
Lithium nickel oxide (Li2NiO2), as a sacrificial cathode prelithiation additive, has been used to compensate for the lithium loss for improving the lifespan of lithium-ion batteries (LIBs). However, high-cost Li2NiO2 suffers from inferior delithiation kinetics during the first cycle. Herein, we investigate the effects of the cost-effective Cu substitution of Li2Ni1-xCuxO2 (x = 0, 0.2, 0.3, 0.5, 0.7) synthesized by high-temperature solid-phase method on the structure, morphology, electrochemical performance of graphite‖LiFePO4 battery. The X-ray Diffraction (XRD) refinement result demonstrates that Cu substitution strategy is favorable …
Sno2 Particles Embedded Into Carbon Coated Mesoporous SioX Rod As High Volumetric Capacity Anode For Lithium-Ion Batteries, Jia-Lin Guo, Ni-Ni Li, Peng Zheng
Sno2 Particles Embedded Into Carbon Coated Mesoporous SioX Rod As High Volumetric Capacity Anode For Lithium-Ion Batteries, Jia-Lin Guo, Ni-Ni Li, Peng Zheng
Journal of Electrochemistry
Due to the high capacity and moderate volume expansion of silicon protoxide SiOx (160%) compared with that of Si (300%), reducing silicon dioxide SiO2 into SiOx while maintaining its special nano-morphology makes it attractive as an anode of Li-ion batteries. Herein, through a one-pot facile high-temperature annealing route, using SBA15 as the silicon source, and embedding tin dioxide SnO2 particles into carbon coated SiOx, the mesoporous SiOx-SnO2@C rod composite was prepared and tested as the anode material. The results revealed that the SnO2 particles were distributed uniformly in the …
Structure-Property Relations Of Binary Ferrite Melts, C. J. Benmore, C. Shi, O. L.G. Alderman, J. P. Harvey, D. Lipke, J. K.R. Weber
Structure-Property Relations Of Binary Ferrite Melts, C. J. Benmore, C. Shi, O. L.G. Alderman, J. P. Harvey, D. Lipke, J. K.R. Weber
Materials Science and Engineering Faculty Research & Creative Works
Molten ferrite systems are used in the smelting and refining processes in steelmaking, to reduce the loss of metals in slags and to accelerate reaction rates. Here, high-energy x-ray diffraction experiments have been performed on aerodynamically levitated molten spheres of 43BaO-57FeOX and 43SrO-57FeOX at 1873 K using laser beam heating. The composition was varied within the range of x = 1-1.5 by changing the oxygen partial pressure of the levitation gas. The corresponding x-ray pair distribution functions have been interpreted using empirical potential structure refinement (EPSR) modeling. In oxygen-rich melts (x = 1.5), our EPSR models indicate very similar structures …
Determination Of Chemical And X-Ray Phase Analysis Of Carbon-Containing Material, Sh.T. Juraev, B.F. Muxiddinov, U.T. Tailakov
Determination Of Chemical And X-Ray Phase Analysis Of Carbon-Containing Material, Sh.T. Juraev, B.F. Muxiddinov, U.T. Tailakov
Chemical Technology, Control and Management
This paper presents a chemical and X-ray diffraction study of the solid fraction obtained from the thermal-oxidative pyrolysis of waste tires. The study covers the analysis of the composition of rubber products before and after pyrolysis at a temperature of 750-850 °C. A chemical analysis of the gaseous, liquid and solid phases of pyrolysis products was also carried out. The ignition temperatures of gaseous products, their percentage content, as well as the optimal boiling temperatures of the resulting condensates were determined. X-ray analysis showed that the solid carbon residue consists of calcite (7.50%), amorphous carbon (87.24%), ankerite (Ca(Mg, Fe)[CO3 …
Investigation Of Dynamic Characteristics Of New Magneto-Elastic Transducers Of Mechanical Quantities, Sulton Amirov, Kamila Jurayeva
Investigation Of Dynamic Characteristics Of New Magneto-Elastic Transducers Of Mechanical Quantities, Sulton Amirov, Kamila Jurayeva
Chemical Technology, Control and Management
In the article examines the dynamic characteristics of new magnetically elastic converters of mechanical quantities by the method of parametric structural circuits. It is shown that the developed differential transformer magneto–elastic converters of power parameters in automatic monitoring and control systems act as a real differentiating link without statics, and magneto-elastic converters of motion parameters act as a whole in the form of sequentially connected oscillatory and real differentiating links. It has been established that the duration of the transient process in magnetoelastic converters of power parameters is determined by the parameters (magnetic capacitance and active magnetic resistance) of the …
Application Of An Adaptive Neuro-Fuzzy Inference System To Control The Wastewater Treatment Process, Jaloliddin Abdurazzakovich Eshbobaev, Bakhodir Tajiddinovich Khamidov, Marcos Torices Fallanza
Application Of An Adaptive Neuro-Fuzzy Inference System To Control The Wastewater Treatment Process, Jaloliddin Abdurazzakovich Eshbobaev, Bakhodir Tajiddinovich Khamidov, Marcos Torices Fallanza
Chemical Technology, Control and Management
This study explores the application of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for controlling wastewater treatment processes using ion-exchange resins. It addresses the critical challenges of water scarcity and pollution by enhancing the regulation of water hardness (H) and Total Dissolved Solids (TDS). Using a pilot laboratory device and experimental data from the mixed wastewater of the Kungrad Soda Plant in Uzbekistan, an ANFIS model was developed in MATLAB to automate process control. The model leverages water hardness and TDS as input parameters to regulate the water flow rate by servo valve opening degree, ensuring precise and efficient treatment. Compared …
Methods For Detecting Anomalies In Network Traffic Based On One-Class Svm Technology, Komil Kerimov, Sardor Kurbanov, Zarina Azizova
Methods For Detecting Anomalies In Network Traffic Based On One-Class Svm Technology, Komil Kerimov, Sardor Kurbanov, Zarina Azizova
Chemical Technology, Control and Management
This article is dedicated to the research and application of the One-Class Support Vector Machines method for detecting anomalies in network traffic. It examines the problems of detecting anomalies in network traffic and proposes a methodology for using One-Class SVM, including an overview of the main concepts and formulas of the algorithm. A discussion of the results of One-Class SVM is presented, including interpretation, advantages, limitations and possible directions for development of the proposed technique, as well as the practical significance of using the proposed method for detecting anomalies in network traffic.
Modeling Of Analog-To-Digital Converter In Signal Processing, Ravshan Aliev, A.U. Djalilov
Modeling Of Analog-To-Digital Converter In Signal Processing, Ravshan Aliev, A.U. Djalilov
Chemical Technology, Control and Management
This article is devoted to the study of the modeling process of analog-to-digital converters (ADCs) that process signals, one of the main parts of control system elements and devices. As we know, ADCs are an important part of modern control systems. During the research, the main stages of analog signal conversion were analyzed, i.e. discretization, quantization, coding. A classification of analog-to-digital conversion methods was made and the advantages and disadvantages of each were identified. Also, the characteristics and parameters of ADC were studied, their impact on ADCs performance was evaluated, and it was determined that certain characteristics should be taken …
Joint Estimation Of The State And Parameters Of Dynamic Control Objects Based On The Maine Estimator, Yulduz Abdurakhmanova
Joint Estimation Of The State And Parameters Of Dynamic Control Objects Based On The Maine Estimator, Yulduz Abdurakhmanova
Chemical Technology, Control and Management
The issues of constructing an adaptive joint estimation of the state and parameters of dynamic control objects using the Maine estimator are considered. There are various variants of the extended filter, and a variant based on iterations between parameter and state estimates was used in the work. In this version of the extended Kalman filter, the problem of joint parameter and state estimation is solved in such a way that parameter estimation is performed before state estimation. Then, the parameter values are used to assess the state. In this case, further iterations between the state vector estimation and the parameter …
Prototyping Various Mppt Techniques Used In Wind Energy Conversion Systems For Response Time Monitoring, Amro Kawashty, Sameh O. Abdellatif, Gamal Ebrahim, Hani Ghali
Prototyping Various Mppt Techniques Used In Wind Energy Conversion Systems For Response Time Monitoring, Amro Kawashty, Sameh O. Abdellatif, Gamal Ebrahim, Hani Ghali
Electrical Engineering
This paper focuses on prototyping various maximum power point tracking (MPPT) techniques used in wind energy conversion systems (WECS) for response time monitoring. MPPT plays a crucial role in optimizing the power extraction from wind turbines by dynamically adjusting their operating conditions to track the maximum power point. The response time of an MPPT algorithm determines how quickly it can adapt to changes in wind conditions and maximize power output. In this study, we implement and compare multiple MPPT techniques on an emulated WECS. Several commonly used MPPT techniques, such as perturb and observe (P&O), incremental conductance (IncCond), and tip …
A Multi-Model And Multi-Agency Approach To Expand The Flood Inundation Mapping Capacity Of The Us National Water Center, Samuel Jay Oldham
A Multi-Model And Multi-Agency Approach To Expand The Flood Inundation Mapping Capacity Of The Us National Water Center, Samuel Jay Oldham
Theses and Dissertations
The most accurate numerical model for simulating flood extents of rivers has long been a subject of debate. While specialized models exist for specific hydraulic features, we advocate for the principle that the best model is the one the user is familiar with, has adequate data to support input requirements and limitations, and will consistently employ. To support this approach, we have developed a database schema optimized to store riverine flood inundation model output files. This schema is designed to assist U.S. cities, counties, states, and other flood management agencies in leveraging their existing model-generated flood maps, regardless of the …
Two-Key Dependent Permutation (Tkdp) And Its Applications In Information Security, Arulmani K
Two-Key Dependent Permutation (Tkdp) And Its Applications In Information Security, Arulmani K
Theses and Dissertations
Two-Key Dependent Permutation (TKDP) algorithm for generating permutation sequences of fixed sizes, TKDP based Symmetric Block Cipher (TKDPSBC) and TKDP Audio encryption are being proposed in this thesis. TKDP algorithm is capable of generating different sequences for different key pairs. This makes it suitable for constructing dynamic S-boxes and P-boxes that have more degree of randomness and non-linearity to resist cryptanalytic attacks. Rigorous statistical tests validate the efficacy of the generated permutation sequences, affirming their suitability for cryptographic applications in conjunction with Fiestel network-based block ciphers. TKDPSBC encrypts a plaintext block into a ciphertext block of the same size. TKDP …
Evaluation Of Health Monitoring Parameters For Automotive Pneumatic Elastomeric System Using Soft Pressure Sensors For Enhanced Vehicle Performance., Md Jarir Hossain, Sarah Suresh Kamath, Jong Min Park, Heung-Seok Oh
Evaluation Of Health Monitoring Parameters For Automotive Pneumatic Elastomeric System Using Soft Pressure Sensors For Enhanced Vehicle Performance., Md Jarir Hossain, Sarah Suresh Kamath, Jong Min Park, Heung-Seok Oh
University Research
In the rapidly evolving automotive industry, the need for reliable and efficient pneumatic elastomeric components necessitates cutting-edge health monitoring methods, given that the pneumatic components are directly connected to dampening properties, ride comfort, vehicle safety, and stability. A novel approach for pneumatic elastomeric component health monitoring utilizing ionic liquid (IL)-based soft sensor technology has been proposed, which has the promise to enable real-time health monitoring and prognostics of vehicle systems. The proposed polymer sensor leverages the distinctive characteristics of flexibility, stretchability, and high sensitivity. These properties are critical for precisely measuring load, vertical displacement, air pressure, force locations, and load …
Paintball: Design And Implementation Of A Microcontroller-Based Video Game, Shensheng Tang, Micah Peterson, Nick Zander
Paintball: Design And Implementation Of A Microcontroller-Based Video Game, Shensheng Tang, Micah Peterson, Nick Zander
Day of Scholarship
We design and implement a gaming system called Pinball using an Arduino microcontroller and three pushbuttons to control the movement of two servo motors and six LEDs. The game is designed to grant access with a touchless key using an RFID technique before playing. Each of the player and the computer has three lives in the beginning and the LCD displays the current number of lives of the computer and the player throughout the game. After three rounds, the final result (Win, Lose, or Tie) is displayed and the system automatically exits and prompts the player to scan an RFID …
Smart Home: Design And Implementation Of A Conceptual Model, Shensheng Tang, Caleb Climaco, Caleb Larrick
Smart Home: Design And Implementation Of A Conceptual Model, Shensheng Tang, Caleb Climaco, Caleb Larrick
Day of Scholarship
Technology advancement improves efficiency in various domains including home automation. This project is to create a smart home conceptual system to control multiple aspects using an Arduino such as lighting, temperature & humidity, and door access. The system is designed to be scalable. More smart home features can be easily added to the current system structure.
Investigation Of Methane Content And Sorption Properties Of Lignite Deposits, Marcin Karbownik
Investigation Of Methane Content And Sorption Properties Of Lignite Deposits, Marcin Karbownik
Journal of Sustainable Mining
Methane is one of the main greenhouse gases (GHG) affecting climate change, and proper quantification of the amount of its emissions to the atmosphere is crucial. The basic parameter for determining the potential amounts of naturally occurring methane in coal for both hard coal and lignite is the methane content. Determination of the methane content of lignite for open-pit mines is not commonly used and required as there is no possibility of its accumulation in the mine workings, as is the case for underground hard coal mines. In this article, two research areas for open-pit lignite mines were analyzed in …