Engineering Commons^™

ระบบฝาแฝดดิจิทัลสำหรับอุปกรณ์คัดแยกวัตถุอัตโนมัติด้วยเทคโนโลยีโลกเสมือนจริง, กฤษฏ์ สกุลกวินกร

Chulalongkorn University Theses and Dissertations (Chula ETD)

ระบบฝาแฝดดิจิทัลหรือ คู่ฝาแฝดดิจิทัล นั้นเข้ามามีบทบาทสำคัญในก้าวพัฒนาระบบอุตสาหกรรมไปยังอุตสาหกรรม 4.0 โดยตัวอย่างที่เห็นได้อย่างชัดเจนคืองานในกระบวนการผลิตที่สามารถนำระบบฝาแฝดดิจิทัลเข้ามาประยุกต์ใช้เพื่อเพิ่มศักยภาพในการผลิตได้ โดยระบบฝาแฝดดิจิทัลนั้นสามารถรับส่งข้อมูลกันระหว่างคู่ฝาแฝดดิจิทัล และ ชุดอุปกรณ์จริง ในเวลาจริงได้ โดยสื่อสารผ่านระบบที่มีศักยภาพในการรับส่งข้อมูล ทั้งในเรื่องของ ค่าความหน่วง และ เสถียรภาพในการรับส่ง และ ด้วยระบบการสื่อสารแบบ IoT นั้นจะช่วยให้ระบบฝาแฝดดิจิทัลสามารถตรวจสอบการทำงานของชุดอุปกรณ์เซนเซอร์ต่างๆได้อย่างหลากหลายมากยิ่งขึ้น โดยการนำเทคโนโลยี VR เข้ามาประยุกต์ใช้ในระบบนั้นจะสามารถช่วยให้ผู้ใช้งานรู้สึกเหมือนอยู่หน้าชุดอุปกรณ์และสามารถควบคุม และ ตรวจสอบระบบต่างๆผ่านระบบเครือข่าย IoT จากทุกที่ที่สามารถเชื่อมต่อกับระบบสื่อสารอินเตอร์เน็ตได้ โดยวิทยานิพนธ์ฉบับนี้ได้นำเสนอกระบวนการพัฒนาระบบฝาแฝดดิจิทัลสำหรับชุดอุปกรณ์คัดแยกวัตถุอัตโนมัติสำหรับสาธิตด้วยเทคโนโลยีโลกเสมือนจริง โดยตัวชุดอุปกรณ์คัดแยกวัตถุอัตโนมัตินั้นจะประกอบไปด้วยชุดอุปกรณ์เซนเซอร์และชุดอุปกรณ์ตัวสั่งการที่ถูกควบคุมการทำงานผ่านระบบไร้สายแบบ UDP(User Datagram Protocol) และ TCP(Transmission Control Protocol) บนเครือข่ายไร้สายเดียวกันกับชุดบอร์ดคอนโทรลเลอร์ โดยจะมีตัวประมวลผลกลาง Node-RED ที่ติดตั้งเป็นชุดประมวลผลหลักโดยจะเก็บรวบรวมข้อมูลจากทุกชุดของบอร์ดคอนโทรลเลอร์บนชุดอุปกรณ์คัดแยกวัตถุอัตโนมัติ และทำการเชื่อมต่อข้อมูลไปยัง แอพพลิเคชั่น VR ผ่านระบบการสื่อสารแบบ MQTT ผ่านคลาวน์แพลทฟอร์มของ NETPIE2020 โดยจะนำค่าความหน่วงและเสถียรภาพของระบบสื่อสารที่กล่าวมาข้างต้นมานำเสนอและวิเคราะห์ประมวลผล

การพัฒนาระบบป้องกันการชนสำหรับยานยนต์อัตโนมัติโดยใช้การตรวจจับวัตถุด้วยกล้อง ร่วมกับการสื่อสารระหว่างยานพาหนะอัตโนมัติและโครงสร้างพื้นฐานผ่านเครือข่ายเซลลูลาร์, วริทธิ์ ดิษยครินทร์

Chulalongkorn University Theses and Dissertations (Chula ETD)

จากการที่ศูนย์วิจัยยานยนต์อัจฉริยะได้ทำการทดสอบยานยนต์อัตโนมัติพบว่าจำเป็นต้องขับเคลื่อนเข้าสู่ทางร่วมที่ไม่มีสัญญาณเตือนและซึ่งมีสิ่งกีดขวางบริเวณในการใช้งานเซนเซอร์ ซึ่งยานยนต์อัตโนมัติจำเป็นต้องทำการทดสอบร่วมกับยานยนตฺ์คนขับเคลื่อนบนท้องถนน จึงจำเป็นต้องทำการติดตั้งระบบตรวจจับสำหรับลดความเสี่ยงในการเกิดอุบัติเหตุ ในงานวิจัยนี้จัดทำเพื่อพัฒนาระบบ C-V2I สำหรับกระบวนการตรวจจับยานยนต์คนขับที่เคลื่อนที่ภายในทางหลักและส่งตัวแปรเข้าสู่กระบวนการการตัดสินใจของยานยนต์อััติโนมัติเนื่องจากยานยนต์อัตโนมัติที่เคลื่อนที่เข้าสู่ทางโทไม่สามาถตรวจจับและรับรู้ได้ โดยทดลองในบริเวณหน้าคณะวิศวกรรมศาสตร์ จุฬาลงกรณ์มหาวิทยาลัย ซึ่งเป็นตัวอย่างของทางร่วมที่ไม่มีสัญญาณเตือนและเป็นทางที่ใช้สำหรับกระบวนการทดลองยานยนต์อัตโนมัติเพื่อที่โดยในระบบนี้จะแบ่งออกเป็น 3 ส่วนคือ ระบบการตรวจจับและติดตามวัตถุ ระบบการสื่อสารระหว่างยานยนต์อัตโนมัติและ ระบบการตัดสินใจของยานยนต์อัตโนมัติ ซึ่งการทำงานของระบบสามารถอธิบายอย่างง่ายโดยเมื่อยานยนต์อัตฺโนมัติเคลื่อนที่เข้าสู่บริเวณที่กำหนดไว้จะทำการรับค่าจากระบบตรวจจับซึ่งในงานวิจัยนี้ทำการทดลองโดยใช้กล้อง 2 มิติ ซึ่งระบบตรวจจับและติดตามวัตถุด้วยกล้องโดยในระบบนี้จะทำการส่งตัวแปรที่ได้จากระบบตรวจจับและติดตามวัตถุเข้าสู่กระบวนการประมาณหาค่าตำแหน่งของวัตถุที่เคลื่อนที่บนระนาบของถนนโดยค่าที่ ต่อมาค่าตัวแปรที่ได้จากระบบตรวจจับทจะถูกส่งเข้าสู่ระบบของยานยนต์อัติโนมัติผ่านระบบสื่อสารด้วยผ่านระบบ MQTTเพื่อส่งค่าสู่กระบวนการตัดสินใจของยานยนต์อัตโนมัติ การทดลองพบว่ากล้อง สามารถวัดระยะทางและความเร็ว ของยานยนต์ที่ต้องการตรวจจับได้ด้วยระยะ 30 เมตรและได้ทำการนำค่าตัวแปรมาคำนวนหาค่าระยะปลอดภัยของยานยนต์อัตโนมัติจากระบบจำลอง

Progress, Georgia Southern University

College of Engineering & Computing: News & Publications (2010-2023)

Welcome to the new online version of Progress, the magazine of the Allen E. Paulson College of Engineering and Computing. We are approaching 10,000 subscribers, and as we are the College of Engineering and Computing, we think online is the way to go! This issue features three of our first female engineering graduates, a recent student success story, two of our pre-eminent female faculty, as well as one of our most influential female industry/business collaborations. Welcome to the Women of Engineering and Computing issue of Progress!

Passive Intermodulation Under Different Spring Contact Conditions, Shengxuan Xia, Emmanuel Olugbade, Yuchu He, Yansheng Wang, Hanfeng Wang, Krishna Rao, Marco Poort, Haicheng Zhou, Warren Lee, Nicholas Mcdonnell, Jonghyun Park, Chulsoon Hwang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Modularized designs have been widely used in today's consumer electronic devices and flexible RF springs are used for electrical connections between the modules. In the meantime, aluminum alloy material becomes a common chassis option. It is well known that the oxidized chassis surface introduces a certain level of nonlinearity when contacted by the springs, as known as passive intermodulation (PIM). PIM is one of the well-known root causes of the RF desensitization (desense). This paper is focused on investigating the relationship between PIM and contact conditions of the springs, especially contact area. The PIM level behavior is explained mathematically by …

Fuel-Rich Hetero-/Homogeneous Combustion Of C3h8/O2/N2 Mixtures Over Rhodium, John Mantzaras, Ran Sui, Rolf Bombach

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The catalytic (heterogeneous) and gas-phase (homogeneous) combustion of C3H8/O2/N2 mixtures over rhodium was investigated experimentally and numerically at 5 bar and at fuel-rich equivalence ratios π = 2.0-3.5 relevant to propane Catalytic Partial Oxidation (CPO). In situ spatially-resolved Raman measurements of major gas-phase species concentrations and Planar Laser Induced Fluorescence (PLIF) of formaldehyde were applied in an optically accessible channel-flow reactor to monitor the catalytic and gas-phase processes, respectively, while accompanying 2D simulations were carried out with detailed hetero-/homogeneous chemical reaction mechanisms. Due to the high gas-phase reactivity of propane, homogeneous chemistry could not be ignored over most of the …

Regulation Of Dendrite-Free Li Plating Via Lithiophilic Sites On Lithium-Alloy Surface, Yufang He, Mengyun Zhang, Aiping Wang, Bo Zhang, Hiep Pham, Qiao Hu, Li Sheng, Hong Xu, Li Wang, Jonghyun Park, Xiangming He

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Lithium (Li) deposition behavior plays an important role in dendrite formation and the subsequent performance of lithium metal batteries. This work reveals the impact of the lithiophilic sites of lithium-alloy on the Li plating process via the first-principles calculations. We find that the Li deposition mechanisms on the Li metal and Li22Sn5 surface are different due to the lithiophilic sites. We first propose that Li plating on the Li metal surface goes through the "adsorption-reduction-desorption-heterogeneous nucleation-cluster drop "process, while it undergoes the "adsorption-reduction-growth "process on the Li22Sn5 surface. The lower adsorption energy contributes to the easy adsorption of Li on …

Nanobubble Capillary Force Between Parallel Plates, Eric Bird, Zhi Liang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The Aggregation of Fine or Ultrafine Particles in Liquid Due to the Nanobubble (NB) Bridging Capillary Force is a Key Process for Many Industrial Applications. the Magnitude and Direction of the NB Capillary Force (NBCF) Are Directly Affected by the Geometry of the NB Gas Bridge between Two Adjoining Particles. Although the NBCF Can Be Accurately Measured using Experimental Techniques, It is Very Challenging to Monitor the Images of a NB Capillary Bridge in Nanoscale Spatial Resolution in NBCF Measuring Experiments. as a Result, the Capillary Force Model that Predicts the Dependence of the NBCF on the Geometry of the …

Design Of Human Inspired Feet For Mithra, A High-Performance Humanoid Robot, Spencer Lyle Brewster

Electronic Theses and Dissertations

This thesis explores the foot design for the new humanoid robot Mithra, with the goal to improve impact mitigation, natural gait throughout the gait cycle and balance. Using human gait parameters, a stiff aluminum foot was designed to emulate human center of pressure rollover trajectories. In addition, a 2D dynamic Finite Element Analysis (FEA) of the gait cycle was created in Abaqus to rapidly prototype foot designs. Data from the FE model provided impact forces, parameters for distal foot power evaluation and maximum lean angles. From this model a flexible nylon foot was optimized for the given design objectives. The …

A Two-Layer Constellation Scheduling Approach For Imaging And Communication, Skylar Cox, Justin Whitaker, John Humble, Greg Droge

Space Dynamics Laboratory Publications

Spacecraft constellations continue to grow in numbers, capability, and sophistication, requiring in creased levels of automation to properly cooperate in achieving their objectives. This paper develops a constellation scheduling capability for collecting images of points of interest (POI) and communicating the imagery data through the constellation to established ground station terminals. Various levels of coordination are considered. First, satellites coordinate to avoid duplicate efforts for imaging POIs; second, ground stations only service a single satellite at a time for downlinking; and third, satellites may crosslink data within the constellation to enable a more timely delivery of high-valued information as well …

Security Concerns On Machine Learning Solutions For 6g Networks In Mmwave Beam Prediction, Ferhat Ozgur Catak, Murat Kuzlu, Evren Catak, Umit Cali, Devrim Unal

Engineering Technology Faculty Publications

6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such as healthcare, transportation, energy, autonomous cars, and many more. Those algorithms have also been used in communication technologies to improve the system performance in terms of frequency spectrum usage, latency, and security. With the rapid developments of ML techniques, especially deep learning (DL), it is critical to consider the security concern when applying the algorithms. While ML algorithms offer significant advantages for 6G networks, security concerns on artificial …

Bfv-Based Homomorphic Encryption For Privacy-Preserving Cnn Models, Febrianti Wibawa, Ferhat Ozgur Catak, Salih Sarp, Murat Kuzlu

Engineering Technology Faculty Publications

Medical data is frequently quite sensitive in terms of data privacy and security. Federated learning has been used to increase the privacy and security of medical data, which is a sort of machine learning technique. The training data is disseminated across numerous machines in federated learning, and the learning process is collaborative. There are numerous privacy attacks on deep learning (DL) models that attackers can use to obtain sensitive information. As a result, the DL model should be safeguarded from adversarial attacks, particularly in medical data applications. Homomorphic encryption-based model security from the adversarial collaborator is one of the answers …

Digital Educational Modules Development For The Career And Technical Cybersecurity Pathways During The Covid-19 Pandemic, Vukica Jovanović, Murat Kuzlu, Otilia Popescu, Petros Katsioloudis, Linda Vahala, Michael Wu, Deborah Marshall, Michael Crespo, Mary Addison

Engineering Technology Faculty Publications

Virtual learning has been used now for several decades, but it has never had a bigger impact on student learning than in the era of the COVID-19 pandemic. Universities and schools faced shutdowns all around the world, and teachers had to adapt rapidly to online mode of instruction. Many educators were faced with a triage approach with no previous experience in distance learning, a lack of resources for professional development, and already existing shortages of current educational modules that could assist them in their day-to-day jobs. This gap was especially evident in areas such as career and technical education (CTE) …

Augmented Reality Integrated Welder Training For Mechanical Engineering Technology, Aditya Akundi, Hamid Eisazadeh, Mona Torabizadeh

Engineering Technology Faculty Publications

The shortage of welders is well documented and projected to become more severe for various industries such as shipbuilding in coming years. It is mainly because welding training is a critical and often costly endeavor. This study examines the training potential using augmented reality technology as a critical part of welder training for mechanical engineering technology students. This study assessed the performance of two groups of MET students trained with two different methods. One group received training with the traditional method in three sessions. The second group acquired training initially with an augmented reality welding system for three sessions. Then, …

Experiences During The Implementation Of Two Different Project-Based Learning Assignments In A Fluid Mechanics Course., Orlando Ayala, Kristie Gutierrez, Francisco Cima, Julia Noginova, Min Jung Lee, Stacie Ringleb, Pilar Pazos, Krishnanand Kaipa, Jennifer Kidd

Engineering Technology Faculty Publications

There is growing evidence of the effectiveness of project-based learning (PBL) in preparing students to solve complex problems. In PBL implementations in engineering, students are treated as professional engineers facing projects centered around real-world problems, including the complexity and uncertainty that influence such problems. Not only does this help students to analyze and solve an authentic real-world task, promoting critical thinking, but also students learn from each other, learning valuable communication and teamwork skills. Faculty play an important part by assuming non-conventional roles (e.g., client, senior professional engineer, consultant) to help students throughout this instructional and learning approach. Typically in …

Security Hardening Of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks, Ferhat Ozgur Catak, Murat Kuzlu, Haolin Tang, Evren Catak, Yanxiao Zhao

Engineering Technology Faculty Publications

Next-generation communication networks, also known as NextG or 5G and beyond, are the future data transmission systems that aim to connect a large amount of Internet of Things (IoT) devices, systems, applications, and consumers at high-speed data transmission and low latency. Fortunately, NextG networks can achieve these goals with advanced telecommunication, computing, and Artificial Intelligence (AI) technologies in the last decades and support a wide range of new applications. Among advanced technologies, AI has a significant and unique contribution to achieving these goals for beamforming, channel estimation, and Intelligent Reflecting Surfaces (IRS) applications of 5G and beyond networks. However, the …

Defensive Distillation-Based Adversarial Attack Mitigation Method For Channel Estimation Using Deep Learning Models In Next-Generation Wireless Networks, Ferhat Ozgur Catak, Murat Kuzlu, Evren Catak, Umit Cali, Ozgur Guler

Engineering Technology Faculty Publications

Future wireless networks (5G and beyond), also known as Next Generation or NextG, are the vision of forthcoming cellular systems, connecting billions of devices and people together. In the last decades, cellular networks have dramatically grown with advanced telecommunication technologies for high-speed data transmission, high cell capacity, and low latency. The main goal of those technologies is to support a wide range of new applications, such as virtual reality, metaverse, telehealth, online education, autonomous and flying vehicles, smart cities, smart grids, advanced manufacturing, and many more. The key motivation of NextG networks is to meet the high demand for those …

Development Of Experiential Learning Experiences For K-12 Students Focusing On Smart Cities, Murat Kuzlu, Vukica Jovanovic, Nathan Puryear, Patrick J. Martin, Sherif Abdelwahed, Özgür Güler

Engineering Technology Faculty Publications

The main objective of this paper is to describe a project focused on the development of experiential learning experiences for undergraduate and graduate students focusing on smart cities. The future workforce needs students with various data analytics skills, service reliability, and sustainability. The team of researchers from Old Dominion University and Virginia Commonwealth University is developing a virtual smart city lab environment at both universities and collaborating on multiple research projects. The main purpose of this virtual labs is to provide a testbed that can be used for students who are interested in careers related to cyber-physical systems (CPS). These …

Exploring The Effects Of Chip Flexibility On The Behavior Of Standing Seam Diaphragms To Brace Cold Formed Steel Purlins, Michael W. Seek

Engineering Technology Faculty Publications

Cold-formed steel C- and Z-shaped purlins in standing seam roof systems rely on the diaphragm action provided by the panels to restrain lateral movements and thus increase the load carrying capacity the purlins. The clip connection between the purlin and the panel has inherent and sometimes intentional flexibility designed to accommodate thermal deformations. The lateral deformation behavior of standing seam systems supported by Zees is highly nonlinear and this behavior is not well understood. The flexibility has major implications on the transfer of diaphragm forces throughout these systems and simplified models often grossly overpredict the demands on the diaphragm and …

Considering Thickness-Accommodation, Nesting, Grounding And Deployment In Design Of Miura-Ori Based Space Arrays, Terri Bateman, Diana Bolanos, Nathan Brown, Brooklyn Clark, Larry L. Howell, Collin Ynchausti, Hunter Pruett, Jared Hunter, Spencer P. Magleby

Faculty Publications

The Miura-ori pattern exhibits favorable qualities desirable for deployable space arrays – especially achieving a large deployed area from a compact stowed volume. However, implementing the Miura-ori into a finite-thickness, engineered system poses challenges that are not manifest in a zero-thickness model. As such, it is important to understand and address the limitations of the pattern before implementing it into an engineered system. This paper presents the Miura-ori as a favorable, yet challenging, pattern in design of deployable space arrays. Challenges including thickness-accommodation, nesting, grounding and deployment are presented to introduce designers to unapparent complications associated with design of Miura-ori …

The Study Of 3d Micro-Fluid Printing In Aqueous Two-Phase System, Mian Huang

Dissertations and Theses

Aqueous two-phase system (ATPS) is a technology that allows phase separation in an aqueous environment. This technology can be used for the separation, extraction and purification of a variety of biomolecules and thus gained great attention in industry and academia. This thesis is a combination of ATPS, 3D printing, and microfluidics technologies and realizes the printing of biocompatible aqueous structures in another aqueous matrix. The objectives of this thesis include 1) customizing a regular thermal extrusion 3D printer for printing 3D aqueous structures, 2) printing 3D aqueous structure in an aqueous matrix, and 3) studying the stability of the printed …

Towards An Artificial Intelligence Based Decision Support System To Evaluate Various Transit Projects, Patricio F. Vicuna

Dissertations and Theses

This dissertation addressed a subset of the Transit Network Design Problem (Transit-NDP), where the main evaluation parameter is the impact of various transit projects – Bus Lines, Tram, Light Rail, Rail – on the Network Travel Time (NTT) of the vehicles. The NTT is estimated using the static four-step travel demand model (trip generation, trip distribution, modal split, and traffic assignment). A set of five metaheuristic models were developed and implemented for this specific Transit-NDP, namely, Simulated Annealing (SA)-VISUM, Simulated Annealing-Random Forest Regression Model (SA-RF), Tabu Search (TS)-Random Forest (TS-RF), SA-RF-TS-VISUM, SA-RF-VISUM. These models were evaluated using two test networks …

Ternary Flow Simulation Based On The Conservative Phase Field Lattice Boltzmann Method, Chunheng Zhao

Dissertations and Theses

In this thesis, we numerically investigated multi-phase fluid dynamics (2 and 3-phase flow) by solving the Navier-Stokes equations coupled with the conservative phase field (CPF) equations using the Lattice Boltzmann method (LBM). To effectively simulate the large-scale multi-phase physics, we developed an open-source software, IMEXLBM, which can be easily parallelized on both CPUs and GPUs without significant modifications to the code. We first validated various parts of this software and then used this method to study the interaction of rising bubbles with a static oil droplet as well as the engulfment of the water droplet on solids coated with a …

Neural Processing Of Semantic Content In Movies, Maximilian Nentwich

Dissertations and Theses

Naturalistic stimuli, such as movies, contain interacting, multimodal and semantic features and allow for free exploration through eye movements. The full extent of neural responses to features such as motion, film cuts and eye movement behavior has not been established. The main hypothesis of this thesis is that complex multimodal and semantic stimuli in naturalistic movies engage a widespread ensemble of locations across the entire brain. To address this question I analyzed simultaneous intracranial and eyetracking data from over 6,000 electrodes across 23 patients with intractable epilepsy. Responses to fast eye movements – saccades – and film cuts are widespread …

Novel Mechanisms Of Dc And Kilohertz Electrical Stimulation, Zeinab Esmaeilpour

Dissertations and Theses

Transcranial electrical stimulation is a promising technique where a weak electrical current is applied to the scalp with the goal of modulating brain activity. Understanding the cellular mechanism of direct current (DC) and kilohertz (kHz) electrical stimulation is of broad interest in neuromodulation. More specifically, there is a large mismatch between enthusiasm for clinical applications of the method and understanding of DC and kHz novel mechanisms of action. This dissertation is centered around two main fundamental aims: 1) systematic study of the acute and long-term effects of kilohertz electrical stimulation and amplitude-modulated waveform with kHz carrier frequency using a well-established …

Impact Of Percutaneous Transluminal Intervention On Vascular Hypoxia And The Role Of Micro-Calcifications On Atherosclerotic Plaque Rupture, Andrea Corti

Dissertations and Theses

Atherosclerotic disease is initiated by cholesterol build-up beneath the endothelium, which evolves into a fibroatheroma, a lipid-rich plaque covered by a fibrous cap. Many of these plaques are considered as vulnerable, as they grow to occlude the luminal section of the artery (chronically stenotic) or become mechanically unstable with a higher chance of rupturing (rupture-prone). On one hand, chronically stenotic vulnerable plaques are symptomatic lesions that are often treated with Percutaneous Transluminal Intervention (PTI). Unfortunately, approximately 10% of PTI procedures are followed by severe Neointima Hyperplasia (NH), which causes a new occlusion and failure of the implant. A significant precursor …

Evaluation Of Snow And Streamflow In The National Water Model With Analysis Using Machine Learning, Engela Sthapit

Dissertations and Theses

Snow has great influence on land-atmosphere interactions and snowmelt from the mountains is a vital water source for downstream communities dependent on snow fed lakes, rivers and streams. This study explored the snow and streamflow prediction capabilities of process-based numerical prediction and data-driven machine learning models.

The overall goal of this study was to understand the deficiencies in the NOAA’s National Water Model (NWM) to represent snow, subsequently streamflow, and recognize the areas where it could be improved for future model developments. The goal was also to evaluate if the recent advancements in machine learning techniques is useful for predicting …

Understanding And Controlling Failure Mechanisms Of The Zinc Anode For Rechargeable Alkaline Batteries, Michael J. D'Ambrose

Dissertations and Theses

In the coming years, the transformation of the electric grid will be in part enabled by safe, low-cost, and reliable large-scale rechargeable battery energy storage systems. Zinc (Zn) alkaline electrodes hold great importance and promise in the battery technology community as they satisfy the safety and cost requirements, yet their behavior in real world application is still poorly understood.

Two experimental studies were carried out, the first of which investigates failure mechanisms and material evolution during cycling of 27 zinc-manganese dioxide (Zn-MnO₂) cells in 37 wt% potassium hydroxide (KOH) electrolyte wherein the percent utilization of the theoretical capacity …

On A New Framework For Detecting, Classifying, And Forecasting Floods For Large-Scale Flood Risk Analysis, Equisha Glenn

Dissertations and Theses

Increasing trends in flooding events are projected to continue as climate changes have increased the chance of extreme weather events. Given the significant, damaging impacts of extreme floods, the ability to effectively model floods is crucial for risk management and mitigation of the impacts of these extreme flooding events. This dissertation presents a new framework for detecting and predicting large-scale flood risk in the United States using climate information. This methodology categorizes regional, simultaneous floods into an index that is used to forecast the risk of extreme flooding a season ahead. The index proposed herein, named the Spatial Flood Index …

Design And Control Of Quasi-Direct Drive Actuation For Lightweight And Versatile Wearable Robots, Shuangyue Yu

Dissertations and Theses

Wearable robots have shown great potential for augmenting the physical capabilities of humans in lab settings. However, wearable robots for augmenting the physical capabilities of humans under community-based conditions are the new frontier of robotics. Furthermore, the design and control are still considered to be grand challenges for providing physical augmentation for humans. In terms of design, the state-of-the-art exoskeletons are typically rigid, bulky, and limited to lab settings. In terms of control, most of the rhythmic controllers are not versatile and are focused only on steady-state walking assistance.

The motivation behind my research is to improve both the design …

Data Fusion And Synergy Of Active And Passive Remote Sensing; An Application For Freeze Thaw Detections, Zahra Sharifnezhadazizi

Dissertations and Theses

There has been a recent evolvement in the field of remote sensing after increase of number satellites and sensors data which could be fused to produce new data and products. These efforts are mainly focused on using of simultaneous observations from different platforms with different spatial and temporal resolutions. The research dissertation aims to enhance the synergy use of active and passive microwave observations and examine the results in detection land freeze and thaw (FT) predictions. Freeze thaw cycles particularly in high-latitude regions have a crucial role in many applications such as agriculture, biogeochemical transitions, hydrology and ecosystem studies. The …