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2022

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Articles 1261 - 1290 of 9373

Full-Text Articles in Engineering

Efficient Navigation For Constrained Shortest Path With Adaptive Expansion Control, Wenwen Xia, Yuchen Li, Wentian Guo, Shenghong Li Nov 2022

Efficient Navigation For Constrained Shortest Path With Adaptive Expansion Control, Wenwen Xia, Yuchen Li, Wentian Guo, Shenghong Li

Research Collection School Of Computing and Information Systems

In many route planning applications, finding constrained shortest paths (CSP) is an important and fundamental problem. CSP aims to find the shortest path between two nodes on a graph while satisfying a path constraint. Solving CSPs requires a large search space and is prohibitively slow on large graphs, even with the state-of-the-art parallel solution on GPUs. The reason lies in the lack of effective navigational information and pruning strategies in the search procedure. In this paper, we propose SPEC, a Shortest Path Enhanced approach for solving the exact CSP problem. Our design rationales of SPEC rely on the observation that …

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Performance Of Cement-Free Geopolymer Composites Made With Locally Available Industrial Solid Waste Materials, Omar Fawwaz Abbas Nov 2022

Performance Of Cement-Free Geopolymer Composites Made With Locally Available Industrial Solid Waste Materials, Omar Fawwaz Abbas

Dissertations

This dissertation is concerned with developing sustainable cement-free mortars made with local industrial by-product materials. Ladle slag is generated in mass quantities from secondary steel treatment in the United Arab Emirates (UAE). It is typically disposed of in stockpiles and landfills. Ladle slag is an excellent candidate for geopolymer composites because of its aluminosilicate composition. Such composites are developed by activating industrial by-products in alkaline solutions. This project aims to utilize locally produced ladle slag from the secondary steel treatment in the UAE to produce geopolymer mortars. The effect of various mixture proportions on the developed composites was assessed using …

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A Comprehensive Evaluation Of Satellite-Based Precipitation Products And Their Performance In Arid And Temperate Climates, Mohammed Tarig Mahmoud Nov 2022

A Comprehensive Evaluation Of Satellite-Based Precipitation Products And Their Performance In Arid And Temperate Climates, Mohammed Tarig Mahmoud

Dissertations

Accurate and continuous precipitation monitoring is critical to enable effective water resources management; the challenge arises from the spatial and temporal variability of precipitation. The recently launched Global Precipitation Measurement (GPM) satellite has the capability to detect and measure all types of precipitation using advanced instruments. Being at its early stages of development, the products of the GPM IMERG (early, late, and final-run-products) need to be validated using multiple spatial and temporal assessment techniques. Several studies have emerged over the past few years evaluating GPM IMERG results over areas of limited size. These areas were set by hydrologic interest (e.g., …

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Integrating Kano Model With Data Mining Techniques To Enhance Customer Satisfaction, Khaled Abdulla Ali Al Rabaiei Nov 2022

Integrating Kano Model With Data Mining Techniques To Enhance Customer Satisfaction, Khaled Abdulla Ali Al Rabaiei

Dissertations

The business world is becoming more competitive from time to time; therefore, businesses are forced to improve their strategies in every single aspect. So, determining the elements that contribute to the clients' contentment is one of the critical needs of businesses to develop successful products in the market. The Kano model is one of the models that help determine which features must be included in a product or service to improve customer satisfaction. The model focuses on highlighting the most relevant attributes of a product or service along with customers’ estimation of how these attributes can be used to predict …

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Ramping Up For Cost And Performance Improvements, Arthur Zucchetti Lechmann, Guilherme Henrique Lima, João Paulo Lucchi, Paulo Henrique Azevedo Santana, Pedro Kamikihara Nov 2022

Ramping Up For Cost And Performance Improvements, Arthur Zucchetti Lechmann, Guilherme Henrique Lima, João Paulo Lucchi, Paulo Henrique Azevedo Santana, Pedro Kamikihara

Student Works

The objective of this Research Project was to study the possible benefits of developing an improved Metering Control System. This study identified potential cost savings and reduced emissions through the greater use of a Metering Control System. The results of this research have indicated an annual cost reduction of $720,000 in fuel burn and a significant delay time reduction caused by accumulated ground traffic. In addition, during peak hours, it was concluded that savings could be potentially higher. Therefore, by optimizing the ground movement, it is also expected a lower level of CO2 emissions, an increased safety level due to …

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Meshless Large Eddy Simulation Of Propeller-Wing Interactions With Reformulated Vortex Particle Method, Eduardo Alvarez, Andrew Ning Nov 2022

Meshless Large Eddy Simulation Of Propeller-Wing Interactions With Reformulated Vortex Particle Method, Eduardo Alvarez, Andrew Ning

Faculty Publications

The vortex particle method (VPM) has gained popularity in recent years due to a growing need to predict complex aerodynamic interactions during preliminary design of electric multirotor aircraft. However, VPM is known to be numerically unstable when vortical structures break down close to the turbulent regime. In recent work, the VPM has been reformulated as a large eddy simulation (LES) in a scheme that is both meshless and numerically stable, without increasing its computational cost. In this study, we build upon this meshless LES scheme to create a solver for interactional aerodynamics. Rotor blades are introduced through an actuator line …

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Testing And Verification For The Open Source Release Of The Horizon Simulation Framewortesting And Verification For The Open Source Release Of The Horizon Simulation Framework, William J. Balfour Nov 2022

Testing And Verification For The Open Source Release Of The Horizon Simulation Framewortesting And Verification For The Open Source Release Of The Horizon Simulation Framework, William J. Balfour

Master's Theses

Modeling and simulation tools are exceptionally useful for designing aerospace systems because they allow engineers to test and iterate designs before committing the massive resources required for system realization. The Horizon Simulation Framework (HSF) is a time-driven modeling and simulation tool which attempts to optimize how a modeled system could perform a mission profile. After 15 years of development, the HSF team aims to achieve a wider user and developer base by releasing the software open source. To ensure a successful release, the software required extensive testing, and the main scheduling algorithm required protections against new code breaking old functionality. …

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Fabrication Of Thin-Film Composite, Reverse-Osmosis Membranes With Polyethylenimine Modifications For Enhancing Membrane Fouling Resistance, Stephanie N. Hamilton Nov 2022

Fabrication Of Thin-Film Composite, Reverse-Osmosis Membranes With Polyethylenimine Modifications For Enhancing Membrane Fouling Resistance, Stephanie N. Hamilton

Master's Theses

Increasing water reuse opportunities for communities has become increasingly important as access to clean water is becoming more scarce. Reverse Osmosis (RO) is an advanced treatment technology used in water recycling wastewater for potable reuse applications. RO is a promising technology; however, the membranes have limitations including their high energy demand and their susceptibility to membrane fouling. The main objective of this study was to develop a reproducible method for the fabrication of RO membranes with enhanced flux and reduced susceptibility to fouling. Literature contains numerous publications on fabrication of thin film composite (TFC) RO membranes with high performance. However, …

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Optimizing Switching Of Non-Linear Properties With Hyperbolic Metamaterials, James A. Ethridge, John G. Jones, Manuel R. Ferdinandus, Michael J. Havrilla, Michael A. Marciniak Nov 2022

Optimizing Switching Of Non-Linear Properties With Hyperbolic Metamaterials, James A. Ethridge, John G. Jones, Manuel R. Ferdinandus, Michael J. Havrilla, Michael A. Marciniak

Faculty Publications

Hyperbolic metamaterials have been demonstrated to have special potential in their linear response, but the extent of their non-linear response has not been extensively modeled or measured. In this work, novel non-linear behavior of an ITO/SiO2 layered hyperbolic metamaterial is modeled and experimentally confirmed, specifically a change in the sign of the non-linear absorption with intensity. This behavior is tunable and can be achieved with a simple one-dimensional layered design. Fabrication was performed with physical vapor deposition, and measurements were conducted using the Z-scan technique. Potential applications include tunable optical switches, optical limiters, and tunable components of laser sources.

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Fluid–Rock Interactions And Its Implications On Eor: Critical Analysis, Experimental Techniques And Knowledge Gaps, Abubakar Isah, Muhammad Arif, Amjed Hassan, Mohamed Mahmoud, Stefan Iglauer Nov 2022

Fluid–Rock Interactions And Its Implications On Eor: Critical Analysis, Experimental Techniques And Knowledge Gaps, Abubakar Isah, Muhammad Arif, Amjed Hassan, Mohamed Mahmoud, Stefan Iglauer

Research outputs 2022 to 2026

Characterization of fluid–rock interactions is essential for a broad range of subsurface applications such as understanding fluid flow in porous medium and enhanced oil recovery predictions. Enhanced oil recovery (EOR) is crucial in oil and gas production operations, it entails injecting fluids into the reservoir to enhance productivity. When fluids are injected, interactions occur between the injected fluids and the reservoir rock/fluids; and the outcomes of fluid–rock interactions critically impact the fluid flow in porous medium and the associated oil recovery. Furthermore, the associated changes in reservoir properties (porosity, permeability etc.) and flow behavior (i.e. wettability alteration and relative permeability …

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Skin Lesion Segmentation By Using Object Detection Networks, Deeplab3+, And Active Contours, Fatemeh Bagheri, Mohammad Jafar Tarokh, Majid Ziaratban Nov 2022

Skin Lesion Segmentation By Using Object Detection Networks, Deeplab3+, And Active Contours, Fatemeh Bagheri, Mohammad Jafar Tarokh, Majid Ziaratban

Turkish Journal of Electrical Engineering and Computer Sciences

Developing an automatic system for detection, segmentation, and classification of skin lesions is very useful to aid well-timed diagnosis of skin diseases. Lesion segmentation is a crucial task for automated diagnosis of skin cancers, as it affects significantly the accuracy of the subsequent steps. Varieties in sizes and locations of lesions, and the lesions with low-contrast boundaries make this task very challenging. In this paper, a three-stage CNN-based method is presented for accurate segmentation of lesions from dermoscopic images. At the first step, normalization, approximate locations and sizes of lesions are estimated. Due to the importance of the normalization stage, …

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Utilizing Motion And Spatial Features For Sign Language Gesture Recognition Using Cascaded Cnn And Lstm Models, Hamzah Luqman, Elsayed Elalfy Nov 2022

Utilizing Motion And Spatial Features For Sign Language Gesture Recognition Using Cascaded Cnn And Lstm Models, Hamzah Luqman, Elsayed Elalfy

Turkish Journal of Electrical Engineering and Computer Sciences

Sign language is a language produced by body parts gestures and facial expressions. The aim of an automatic sign language recognition system is to assign meaning to each sign gesture. Recently, several computer vision systems have been proposed for sign language recognition using a variety of recognition techniques, sign languages, and gesture modalities. However, one of the challenging problems involves image preprocessing, segmentation, extraction and tracking of relevant static and dynamic features related to manual and nonmanual gestures from different images in sequence. In this paper, we studied the efficiency, scalability, and computation time of three cascaded architectures of convolutional …

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Compact Dual-Band Rectangular T E10 Mode To Circular Tm01 Mode Converter For Telemetry/Telecommand Applications In Satellite Communication: Design, Equivalent Circuit Modeling, Mode Level Measurement Technique And 3d Printed Manufacturing, Esra Alkin, Ceyhan Türkmen, Mustafa Seçmen Nov 2022

Compact Dual-Band Rectangular T E10 Mode To Circular Tm01 Mode Converter For Telemetry/Telecommand Applications In Satellite Communication: Design, Equivalent Circuit Modeling, Mode Level Measurement Technique And 3d Printed Manufacturing, Esra Alkin, Ceyhan Türkmen, Mustafa Seçmen

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, the design of a dual-band mode converter, which provides transition from rectangular waveguide T E10 mode to circular waveguide TM01 mode and operates simultaneously in telemetry/telecommand (TT&C) frequencies, is presented along with its equivalent circuit and a mode level measurement technique. This dual-band converter is designed to uniformly excite TT&C slot antennas used in satellite communication with symmetric circular TM01 mode. The structure can work as a transceiver due to having one common rectangular waveguide feed. As a Ku-band application, a converter giving high purity TM01 mode at circular waveguide at 11.75 GHz/TX …

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Computationally Efficient Predictive Torque Control Strategies Without Weighting Factors, Emrah Zerdali̇, Mert Altintaş, Ali̇ Bakbak, Erkan Meşe Nov 2022

Computationally Efficient Predictive Torque Control Strategies Without Weighting Factors, Emrah Zerdali̇, Mert Altintaş, Ali̇ Bakbak, Erkan Meşe

Turkish Journal of Electrical Engineering and Computer Sciences

Predictive torque control (PTC) is a promising control method for electric machines due to its simplicity, fast dynamics, ability to handle nonlinearities, and easy inclusion of additional control objectives. The main challenge in conventional PTC design is to determine the weighting factors in the cost function. These weighting factors are generally chosen by the trial-and-error method or metaheuristic optimization algorithms, but these methods may not apply the optimum voltage vectors according to changing operating conditions. There are also several studies on the elimination of the weighting factors. This paper proposes two weighting factorless PTC strategies with lower computational complexities than …

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Mocmin: Convex Inferring Of Modular Low-Rank Contact Networks Over Covid Diffusion Data, Emre Sefer Nov 2022

Mocmin: Convex Inferring Of Modular Low-Rank Contact Networks Over Covid Diffusion Data, Emre Sefer

Turkish Journal of Electrical Engineering and Computer Sciences

SEIR (which consists of susceptible, exposed, infected, and recovered states) is a common diffusion model which could model different disease propagation dynamics across various domains such as influenza and COVID diffusion. As a motivation, across these domains, observing the node states is relatively easier than observing the network edges over which the diffusion is taking place, or it may not even be possible to observe the underlying network. This paper focuses on the problem of predicting modular low-rank human contact network edges only if a SEIR diffusion dynamics spreading among the human on their contact network can be observed. Such …

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A Rule-Based/Bpso Approach To Produce Low-Dimensional Semantic Basis Vectors Set, Atefe Pakzad, Morteza Analoui Nov 2022

A Rule-Based/Bpso Approach To Produce Low-Dimensional Semantic Basis Vectors Set, Atefe Pakzad, Morteza Analoui

Turkish Journal of Electrical Engineering and Computer Sciences

The present study aims to generate low-dimensional explicit distributional semantic vectors. In explicit semantic vectors, each dimension corresponds to a word, which makes word vectors interpretable. In this study, a new approach is proposed to obtain low-dimensional explicit semantic vectors. Firstly, the suggested approach considers three criteria, namely, word similarity, number of zeros, and word frequency as features for words in a corpus. Next, some rules are extracted to obtain the initial basis words using a decision tree which is drawn based on the three features. Secondly, a binary weighting method is proposed based on the binary particle swarm optimization …

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Identification Of Initial Events Of Cascading Failures Using Graph Theory Methods, Mojtaba Fekri, Javad Nikoukar, Gevork Babamalek Gharehpetian Nov 2022

Identification Of Initial Events Of Cascading Failures Using Graph Theory Methods, Mojtaba Fekri, Javad Nikoukar, Gevork Babamalek Gharehpetian

Turkish Journal of Electrical Engineering and Computer Sciences

In power systems, the unintentional outage of a grid element can lead to overload and outage of other equipment and, through a domino effect, all or a large part of a power system may collapse. The resulting events are called cascading, consecutive, or sequential failures. So far, various methods have been proposed to identify the initial events of cascading failures with different levels of accuracy and computational load. In this paper, an effective approach is employed which, by calculating the maximum flow of independent paths between generators and loads in the network graph, identifies the critical lines and transformers of …

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Monte-Carlo Method Based Simulations For Photothermal Mucosa Coagulation With Accurate Depth Limits, Merve Türker Burhan, Serhat Tozburun Nov 2022

Monte-Carlo Method Based Simulations For Photothermal Mucosa Coagulation With Accurate Depth Limits, Merve Türker Burhan, Serhat Tozburun

Turkish Journal of Electrical Engineering and Computer Sciences

The mucosa layer, the innermost layer of the gastrointestinal (GI) system, is of great importance in carcinogenesis since most cancerous tissues occur as superficial lesions. Although various treatment strategies exist, the main difficulty in eradicating lesions is unintentional damage to healthy tissues with the uncontrolled depth of treatment. This study proposes a computer modeling approach for simulating depth-resolved photothermal (laser) mucosal coagulation therapy. Computer modeling mimics the thermal dynamics of mucosal tissue to characterize the total heat energy required for successful superficial coagulation, which can be controlled by the scan rate, scan time, output power, and beam diameter of the …

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Load2load: Day-Ahead Load Forecasting At Aggregated Level, Mustafa Berkay Yilmaz Nov 2022

Load2load: Day-Ahead Load Forecasting At Aggregated Level, Mustafa Berkay Yilmaz

Turkish Journal of Electrical Engineering and Computer Sciences

A reliable and accurate short-term load forecasting (STLF) helps utilities and energy providers deal with the challenges posed by supply and demand balance, higher penetration of renewable energies and the development of electricity markets with increasingly complex pricing strategies in future smart grids. Recent advances in deep learning have been successively utilized to STLF. However, there is no certain study that evaluates the performances of different STLF methods at an aggregated level on different datasets with different numbers of daily measurements.In this study, a deep learning STLF architecture called Load2Load is proposed for day-ahead forecasting. Different forecasting methods have been …

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Modeling And Validation Of The Thermoelectric Generator With Considering The Change Of The Seebeck Effect And Internal Resistance, Mehmet Ali̇ Üstüner, Hayati̇ Mamur, Sezai̇ Taşkin Nov 2022

Modeling And Validation Of The Thermoelectric Generator With Considering The Change Of The Seebeck Effect And Internal Resistance, Mehmet Ali̇ Üstüner, Hayati̇ Mamur, Sezai̇ Taşkin

Turkish Journal of Electrical Engineering and Computer Sciences

Thermoelectric generators (TEGs) produce power in direct proportion to the temperature difference between their surfaces. The Seebeck coefficient and internal resistance of the thermoelements (TEs) that make up the TEGs change depending on the temperature change. In simulation studies, it is seen that these two values are kept constant. However, this situation prevents approaching the data of TEG in real applications. In this study, a TEG Simulink/MATLAB ® model has been developed to capture real TEG module data, which considers changing of both the Seebeck coefficient and the internal resistance depending on the temperature difference change. To achieve this aim, …

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Affective States Classification Performance Of Audio-Visual Stimuli From Eeg Signals With Multiple-Instance Learning, Yaşar Daşdemi̇r, Rüstem Özakar Nov 2022

Affective States Classification Performance Of Audio-Visual Stimuli From Eeg Signals With Multiple-Instance Learning, Yaşar Daşdemi̇r, Rüstem Özakar

Turkish Journal of Electrical Engineering and Computer Sciences

Throughout various disciplines, emotion recognition continues to be an essential subject of study. With the advancement of machine learning methods, accurate emotion recognition from different data modalities (facial images, brain EEG signals) has become possible. Success of EEG-based emotion recognition systems depends on efficient feature extraction and pre/postprocessing of signals. Main objective of this study is to analyze the efficacy of multiple-instance learning (MIL) on postprocessing features of EEG signals using three different domains (time, frequency, time-frequency) for human emotion classification. Methods and results are presented for single-trial classification of valence (V), arousal (A), and dominance (D) ratings from EEG …

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A Review On N-Doped Biochar For Oxidative Degradation Of Organic Contaminants In Wastewater By Persulfate Activation, Yaxuan Gao, Wenran Gao, Haonan Zhu, Haoran Chen, Shanshan Yan, Ming Zhao, Hongqi Sun, Junjie Zhang, Shu Zhang Nov 2022

A Review On N-Doped Biochar For Oxidative Degradation Of Organic Contaminants In Wastewater By Persulfate Activation, Yaxuan Gao, Wenran Gao, Haonan Zhu, Haoran Chen, Shanshan Yan, Ming Zhao, Hongqi Sun, Junjie Zhang, Shu Zhang

Research outputs 2022 to 2026

The Persulfate-based advanced oxidation process is the most efficient and commonly used technology to remove organic contaminants in wastewater. Due to the large surface area, unique electronic properties, abundant N functional groups, cost-effectiveness, and environmental friendliness, N-doped biochars (NBCs) are widely used as catalysts for persulfate activation. This review focuses on the NBC for oxidative degradation of organics-contaminated wastewater. Firstly, the preparation and modification methods of NBCs were reviewed. Then the catalytic performance of NBCs and modified NBCs on the oxidation degradation of organic contaminants were discussed with an emphasis on the degradation mechanism. We further summarized the detection technologies …

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Associations Between Prenatal Exposure To Phthalates And Features Of The Metabolic Syndrome In Males From Childhood Into Adulthood, Ye’Elah E. Berman, Dorota A. Doherty, Trevor A. Mori, Lawrence J. Beilin, Oyekoya T. Ayonrinde, Leon A. Adams, Rae-Chi Huang, John K. Olynyk, Jeffrey A. Keelan, John P. Newnham, Roger J. Hart Nov 2022

Associations Between Prenatal Exposure To Phthalates And Features Of The Metabolic Syndrome In Males From Childhood Into Adulthood, Ye’Elah E. Berman, Dorota A. Doherty, Trevor A. Mori, Lawrence J. Beilin, Oyekoya T. Ayonrinde, Leon A. Adams, Rae-Chi Huang, John K. Olynyk, Jeffrey A. Keelan, John P. Newnham, Roger J. Hart

Research outputs 2022 to 2026

Phthalate metabolites are detectable within the majority of the population. Evidence suggests that a prenatal exposure to phthalates may be associated with the subsequent risks of obesity and elevated blood pressure. We hypothesised that a prenatal exposure to phthalates would lead to an increase in adverse cardiometabolic parameters through childhood and adulthood. The maternal serum phthalate measurements from the stored samples taken from Gen1 mothers at 18 and 34 weeks gestation were examined in relation to the cardiometabolic measures in 387 male offspring from the Raine Study. Data from the Gen2 follow-ups between 3 and 27 years were used. The …

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Gas Hydrate Characterization In Sediments Via X-Ray Microcomputed Tomography, Ghazanfer Raza Abbasi, Muhammad Arif, Abubakar Isah, Muhammad Ali, Mohamed Mahmoud, Hussein Hoteit, Alireza Keshavarz, Stefan Iglauer Nov 2022

Gas Hydrate Characterization In Sediments Via X-Ray Microcomputed Tomography, Ghazanfer Raza Abbasi, Muhammad Arif, Abubakar Isah, Muhammad Ali, Mohamed Mahmoud, Hussein Hoteit, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

Natural gas hydrates (NGHs) are efficient and promising energy resources because of their high energy density. In addition, NGH occurs in sediments under certain pressure and temperature conditions and has the potential to meet the increasing global energy demand. However, efficient exploitation of NGH requires a precise characterization and understanding of the hydrate formation, accumulation, and dissociation mechanisms. In this context, the microstructural characterization of gas hydrate is essential and requires specialized methods and equipment. While traditional imaging and characterization tools offer fundamental microstructural analysis, x-ray microcomputed tomography (μCT) has gained recent attention in producing high-resolution three-dimensional images of the …

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Preparation Of N-, O-, And S-Tri-Doped Biochar Through One-Pot Pyrolysis Of Poplar And Urea Formaldehyde And Its Enhanced Removal Of Tetracycline From Wastewater, Wenran Gao, Zixiang Lin, Shanshan Yan, Yaxuan Gao, Hong Zhang, Xun Hu, Hongqi Sun, Shu Zhang Nov 2022

Preparation Of N-, O-, And S-Tri-Doped Biochar Through One-Pot Pyrolysis Of Poplar And Urea Formaldehyde And Its Enhanced Removal Of Tetracycline From Wastewater, Wenran Gao, Zixiang Lin, Shanshan Yan, Yaxuan Gao, Hong Zhang, Xun Hu, Hongqi Sun, Shu Zhang

Research outputs 2022 to 2026

In this study, biochar was prepared via hybrid doping of N, O, and S by applying one-pot pyrolysis of poplar wood and S-containing urea formaldehyde at 900 °C. Different doping ratios were adopted, and the contents of O, N, and S were in the ranges of 2.78 – 5.56 %, 2.16 – 4.92 %, and 1.42 – 4.98 %, respectively. This hybrid doping significantly enhanced the efficiency of the removal of tetracycline (40 mg/L) from wastewater to 71.84 % in comparison with that attained by using normal poplar biochar (29.45 %). The adsorption kinetics and isotherms indicated that the adsorption …

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Crispr/Cas-Mediated Editing Of Cis-Regulatory Elements For Crop Improvement, Sumbul Saeed, Babar Usman, Su-Hyeon Shim, Shahid Ullah Khan, Sabzoi Nizamuddin, Sundus Saeed, Yasira Shoaib, Jong-Seong Jeon, Ki-Hong Jung Nov 2022

Crispr/Cas-Mediated Editing Of Cis-Regulatory Elements For Crop Improvement, Sumbul Saeed, Babar Usman, Su-Hyeon Shim, Shahid Ullah Khan, Sabzoi Nizamuddin, Sundus Saeed, Yasira Shoaib, Jong-Seong Jeon, Ki-Hong Jung

Research outputs 2022 to 2026

To improve future agricultural production, major technological advances are required to increase crop production and yield. Targeting the coding region of genes via the Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated Protein (CRISPR/Cas) system has been well established and has enabled the rapid generation of transgene-free plants, which can lead to crop improvement. The emergence of the CRISPR/Cas system has also enabled scientists to achieve cis-regulatory element (CRE) editing and, consequently, engineering endogenous critical CREs to modulate the expression of target genes. Recent genome-wide association studies have identified the domestication of natural CRE variants to regulate complex agronomic quantitative traits and …

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Improvements To The Automatic Calibration Of Digital Focusing Color Schlieren Systems, Robert C. Frazee Nov 2022

Improvements To The Automatic Calibration Of Digital Focusing Color Schlieren Systems, Robert C. Frazee

LSU Master's Theses

As a diagnostic method, Schlieren imaging offers the unique ability to visualize flows with a completely non-intrusive method. By visualizing small changes in the refractive index of a fluid, Schlieren imaging is able to visualize changes in temperature, pressure, and composition. While historic Schlieren methods have been limited to providing largely qualitative information, modern Schlieren methods are able to extract quantitative information from flow phenomena. This is possible through either Background Oriented Schlieren (BOS) or Digital Focusing Color Schlieren (DFCS) methods. While BOS is relatively flexible, it requires a large amount of computational effort to process each frame of captured …

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Mechanism Understanding Of Li-Ion Separation Using A Perovskite-Based Membrane, Mahsa Golmohammadi, Meysam Habibi, Sima Rezvantalab, Yasin Mehdizadeh Chellehbari, Reza Maleki, Amir Razmjou Nov 2022

Mechanism Understanding Of Li-Ion Separation Using A Perovskite-Based Membrane, Mahsa Golmohammadi, Meysam Habibi, Sima Rezvantalab, Yasin Mehdizadeh Chellehbari, Reza Maleki, Amir Razmjou

Research outputs 2022 to 2026

Lithium ions play a crucial role in the energy storage industry. Finding suitable lithium-ion-conductive membranes is one of the important issues of energy storage studies. Hence, a perovskite-based membrane, Lithium Lanthanum Titanate (LLTO), was innovatively implemented in the presence and absence of solvents to precisely understand the mechanism of lithium ion separation. The ion-selective membrane’s mechanism and the perovskite-based membrane’s efficiency were investigated using Molecular Dynamic (MD) simulation. The results specified that the change in the ambient condition, pH, and temperature led to a shift in LLTO pore sizes. Based on the results, pH plays an undeniable role in facilitating …

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Revealing The Pulse-Induced Electroplasticity By Decoupling Electron Wind Force, Xing Li, Qi Zhu, Youran Hong, He Zheng, Jian Wang, Jiangwei Wang, Ze Zhang Oct 2022

Revealing The Pulse-Induced Electroplasticity By Decoupling Electron Wind Force, Xing Li, Qi Zhu, Youran Hong, He Zheng, Jian Wang, Jiangwei Wang, Ze Zhang

Department of Mechanical and Materials Engineering: Faculty Publications

Micro/nano electromechanical systems and nanodevices often suffer from degradation under electrical pulse. However, the origin of pulse-induced degradation remains an open question. Herein, we investigate the defect dynamics in Au nanocrystals under pulse conditions. By decoupling the electron wind force via a properly-designed in situ TEM electropulsing experiment, we reveal a non-directional migration of Σ3{112} incoherent twin boundary upon electropulsing, in contrast to the expected directional migration under electron wind force. Quantitative analyses demonstrate that such exceptional incoherent twin boundary migration is governed by the electron-dislocation interaction that enhances the atom vibration at dislocation cores, rather than driven by the …

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Preventing Variadic Function Attacks Through Argument Width Counting, Brennan Ward Oct 2022

Preventing Variadic Function Attacks Through Argument Width Counting, Brennan Ward

USF Tampa Graduate Theses and Dissertations

Format String attacks, first noted in June 2000 [1], are a type of attack in which anadversary has control of the string argument (the format string) passed to a string format function (such as printf). Such control allows the attacker to read and write arbitrary program memory. To prevent these attacks, various methodologies have been proposed, each with their own costs and benefits. I present a novel solution to this problem through argument width counting, ensuring that such format functions cannot access stack memory beyond the space where arguments were placed. Additionally, I show how this approach can be expanded …

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