Engineering Commons^™

Toward Real-Time, Robust Wearable Sensor Fall Detection Using Deep Learning Methods: A Feasibility Study, Haben Yhdego, Christopher Paolini, Michel Audette

Electrical & Computer Engineering Faculty Publications

Real-time fall detection using a wearable sensor remains a challenging problem due to high gait variability. Furthermore, finding the type of sensor to use and the optimal location of the sensors are also essential factors for real-time fall-detection systems. This work presents real-time fall-detection methods using deep learning models. Early detection of falls, followed by pneumatic protection, is one of the most effective means of ensuring the safety of the elderly. First, we developed and compared different data-segmentation techniques for sliding windows. Next, we implemented various techniques to balance the datasets because collecting fall datasets in the real-time setting has …

Class Activation Mapping And Uncertainty Estimation In Multi-Organ Segmentation, Md. Shibly Sadique, Walia Farzana, Ahmed Temtam, Khan Iftekharuddin, Khan Iftekharuddin (Ed.), Weijie Chen (Ed.)

Electrical & Computer Engineering Faculty Publications

Deep learning (DL)-based medical imaging and image segmentation algorithms achieve impressive performance on many benchmarks. Yet the efficacy of deep learning methods for future clinical applications may become questionable due to the lack of ability to reason with uncertainty and interpret probable areas of failures in prediction decisions. Therefore, it is desired that such a deep learning model for segmentation classification is able to reliably predict its confidence measure and map back to the original imaging cases to interpret the prediction decisions. In this work, uncertainty estimation for multiorgan segmentation task is evaluated to interpret the predictive modeling in DL …

Ict Security Tools And Techniques Among Higher Education Institutions: A Critical Review, Miko Nuñez, Xavier-Lewis Palmer, Lucas Potter, Chris Jordan Aliac, Lemuel Clark Velasco

Electrical & Computer Engineering Faculty Publications

Higher education institutions (HEIs) are increasingly relying on digital technologies for classroom and organizational management, but this puts them at higher risk for information and communication (ICT security attacks. Recent studies show that HEIs have experienced more security breaches in ICT security composed of both cybersecurity an information security. A literature review was conducted to identify common ICT security practices in HEIs over the last decade. 11 journal articles were profiled and analyzed, revealing threats to HEIs’ security and protective measures in terms of organizational security, technological security, physical security, and standards and frameworks. Security tools and techniques were grouped …

Ultra-Low Intensity Post-Pulse Affects Cellular Responses Caused By Nanosecond Pulsed Electric Fields, Kamal Asadipour, Carol Zhou, Vincent Yi, Stephen J. Beebe, Shu Xiao

Electrical & Computer Engineering Faculty Publications

High-intensity nanosecond pulse electric fields (nsPEF) can preferentially induce various effects, most notably regulated cell death and tumor elimination. These effects have almost exclusively been shown to be associated with nsPEF waveforms defined by pulse duration, rise time, amplitude (electric field), and pulse number. Other factors, such as low-intensity post-pulse waveform, have been completely overlooked. In this study, we show that post-pulse waveforms can alter the cell responses produced by the primary pulse waveform and can even elicit unique cellular responses, despite the primary pulse waveform being nearly identical. We employed two commonly used pulse generator designs, namely the Blumlein …

Quantum Efficiency And Lifetime Study For Negative Electron Affinity Gaas Nanopillar Array Photocathode, Md Aziz Ar Rahman, Md Abdullah Mamun, Shukui Zhang, Hani E. Elsayed-Ali

Electrical & Computer Engineering Faculty Publications

Recent studies showed significant improvement in quantum efficiency (QE) by negative electron affinity (NEA) GaAs nanopillar array (NPA) photocathodes over their flat surface peers, particularly at 500 ─ 800 nm waveband. However, the underlying physics is yet to be well understood for further improvement in its performance. In this report, NEA GaAs NPA photocathodes with different dimensions were studied. The diameter of the nanopillars varied from 200 ─ 360 nm, the height varied from 230 ─ 1000 nm and the periodicity varied from 470 ─ 630 nm. The QE and photocathode lifetime were measured. Mie-resonance enhancement was observed at tunable …

Nidec Automated Winder, Michael Pugh, Ben A. Swartz, Andrew Leonard, Garrett Dostal

Williams Honors College, Honors Research Projects

Nidec Drive Systems is a leading electric motor manufacturing company with several facilities in the US and around the world. However, as of recent, Nidec has started to see some signs of old and outdated production machines affecting their production numbers even though the demand for electric is ever increasing. In an attempt to repair some of these issues, Nidec reached out to the University of Akron to look for senior design groups to help design and standardize better production machines. We were tasked with redesigning a new winder, which is a machine that winds the copper coils to the …

Safe Kids Car, Nathan Keenan, Jackson Piper, Kyle Law, Anthony Meniru

Williams Honors College, Honors Research Projects

The main goal of this project is to retrofit toy vehicles, such as Powerwheels cars, with safety systems that can protect the driver and those around the driver. Such systems will include lights, including headlights and taillights, and an automatic braking system, which will activate in the face of an inevitable collision. The system will also work with the driver to prevent collisions, providing warnings of impending danger.

Keywords: toy vehicles, collision detection, collision avoidance, automatic braking system, DC motors, automatic headlights.

Smart Power Outlet, Kyrolos Melek, Joseph M. Garro, Ethan G. Frese, Madison Britton

Williams Honors College, Honors Research Projects

With an ever-increasing demand on the electrical grid and an increase in electrical consumer goods per household, effective power management and monitoring for home users is a must. The objective of this project is to create a consumer outlet and companion phone application. The power outlet will measure power draw on each socket and report these measurements via an embedded system, wirelessly, to the application. The application will then allow for setting custom power draws at which an individual socket will switch off if exceeded and will display how much a given outlet or individual socket is costing per unit …

Whiteboard Drawing Device, Stefan Ilic, Andrew Adams, Vaughn Richards, James Medved

Williams Honors College, Honors Research Projects

Whiteboards have become a staple in many classrooms, especially in the context of STEM courses. However, when it comes to teaching complex topics, it can be difficult or impractical to provide accurate drawings and visualizations by hand, and in extreme cases may lead to misinterpretation of a particular topic. To fix this issue, the Whiteboard Drawing Device allows users to draw preset shapes to a whiteboard automatically, both quickly and accurately. Using either a smartphone application or a set of onboard controls, the device allows users to automatically draw straight lines, rectangles, triangles, sinusoidal waves, and circles on the whiteboard. …

Wireless Kick Pedal, Jacob Wise, Ryan Kinyo, Bradley Toth, Ian Zanath

Williams Honors College, Honors Research Projects

The goal of the project is to build a wireless kick pedal that allows accessibility to drummers that have leg or foot disabilities and add versatility to multi-instrumentalists looking to add percussion while playing another instrument. The proposed pedal is designed in two main parts, a wearable band that tracks the player’s movement, and a hammer mechanism that receives actuation commands from the wearable band to move the hammer and deliver a drumbeat. The band is designed to be worn on several parts of the body, including the ankle, knee, thigh, or even the arm depending on the user’s situation. …

Wireless Environmental Weather Monitor, Joel Christie-Millett, Nathan Schroeder, Sylvester Wilson, Matthew Szijarto

Williams Honors College, Honors Research Projects

The goal of this senior design/honors project is to create a device that monitors environmental conditions in order to detect a wildfire. This device should notify a user of the status of the environment. The device should also last for 6 months without any human interaction. My role on the team is to design the power supply system that maximizes efficiency and uses renewable energy.

Detection Of Various Dental Conditions On Dental Panoramic Radiography Using Faster R-Cnn, Shih Lun Chen, Tsung Yi Chen, Yi Cheng Mao, Szu Yin Lin, Ya Yun Huang, Chiung An Chen, Yuan Jin Lin, Mian Heng Chuang, Patricia Angela R. Abu

Department of Information Systems & Computer Science Faculty Publications

The dental panoramic radiograph (DPR) is a pivotal diagnostic tool in dentistry. However, despite the growing prevalence of artificial intelligence (AI) across various medical domains, manual methods remain the prevailing means of interpreting DPR images. This study aims to introduce an advanced identification system for detecting seven dental conditions in DPR images by utilizing Faster R-CNN. The primary objectives are to enhance dentists' efficiency and evaluate the performance of various CNN models as foundational training networks. This study contributes significantly to the field in several notable ways. Firstly, including a Butterworth filter in the training process yielded an approximately 7% …

Performance Evaluation Of Face Mask Detection For Real-Time Implementation On An Rpi, Ivan George L. Tarun, Vidal Wyatt M. Lopez, Pamela Anne C. Serrano, Patricia Angela R. Abu, Rosula Reyes, Ma. Regina Justina Estuar

Department of Information Systems & Computer Science Faculty Publications

Mask-wearing remains to be one of the primary protective measures against COVID-19. To address the difficulty of manual compliance monitoring, face mask detection models considerate of both frontal and angled faces were developed. This study aimed to test the performance of the said models in classifying multi-face images and upon running on a Raspberry Pi device. The accuracies and inference speeds were measured and compared when inferencing images with one, two, and three faces and on the desktop and the Raspberry Pi. With an increasing number of faces in an image, the models’ accuracies were observed to decline, while their …

Towards The Development Of A Blockchain System For Philippine Government Processes For Enhanced Transparency And Verifiability, Karlo Angelo F. Cabugwang, Raphael Christen K. Enriquez, Bienvenido E. Villabroza, Christian E. Pulmano

Department of Information Systems & Computer Science Faculty Publications

There are cases of corruption and fraud within the Philippine government that have gone under the radar, often due to a lack of transparency and verifiability. The objective of this study is to prototype a blockchain network that can run a government process as a decentralized application such that it can enhance transparency and verifiability in the public sector. This can be accomplished by identifying a government process that would be converted into a decentralized application. One of these processes would be converted into a decentralized application. Afterwards, a blockchain framework should be identified one which can create a public …

Multi-Variable Phase And Gain Calibration For Multi-Channel Transmit Signals, Ryan C. Ball

Browse all Theses and Dissertations

A method for software-defined radio array calibration is presented. The method implements a matched filter approach to calculate the phase shift between channels. The temporal stability of the system and calibration coefficients are shown through the standard deviation over the course of four weeks. The standard deviation of the phase correction was shown to be less than 2 deg. for most channels in the array and within 8 deg. for the most extreme case. The standard deviation in amplitude scaling was calculated to be less than 0.06 for all channels in the array. The performance of the calibration is evaluated …

Fault Diagnosis And Accommodation In Quadrotor Simultaneous Localization And Mapping Systems, Anthony J. Green

Browse all Theses and Dissertations

Simultaneous Localization and Mapping (SLAM) is the process of using distance measurements to points in the surrounding environment to build a digital map and perform localization. It has been observed that featureless environments like tunnels or straight hallways will cause positioning faults in SLAM. This research investigates the fault diagnosis and accommodation problem for a laser-rangefinder-based SLAM systems on a quadrotor. A potential solution of using optical flow as velocity estimate and an extended Kalman filter (EKF) to perform position estimation is proposed. A fault diagnosis method for detecting faults in positional SLAM data or optical flow velocity data is …

Digital Beamforming Array Phase Calibration Techniques For Multi-Pass Interferometric Sar, Kelly Cheung

Browse all Theses and Dissertations

Calibration plays a critical role in the optimal performance of algorithms in digital beamforming arrays. Phase incoherency between elements results in poor beamforming with decreased gain and higher sidelobes, leading to a decrease in accuracy and sensitivity of measurements. A similar problem exists in performing multi-pass interferometric SAR (IFSAR) processing of SAR data stacks to generate topological maps of the scene, where phase errors translate to height errors. By treating each SAR image in the data stack like an element of a uniform linear array, this thesis explores several phase calibration techniques that can be used to calibrate digital beamforming …

Bandgap Engineering Of 2d Materials And Its Electric And Optical Properties, Kumar Vishal

Browse all Theses and Dissertations

Since their invention in 1958, Integrated Circuits (ICs) have become increasingly more complex, sophisticated, and useful. As a result, they have worked their way into every aspect of our lives, for example: personal electronic devices, wearable electronics, biomedical sensors, autonomous driving cars, military and defense applications, and artificial intelligence, to name some areas of applications. These examples represent both collectively, and sometimes individually, multi-trillion-dollar markets. However, further development of ICs has been predicted to encounter a performance bottleneck as the mainstream silicon industry, approaches its physical limits. The state-of-the-art of today’s ICs technology will be soon below 3nm. At such …

Development Of Automated Egg Incubator With Backup Power Supply, Allen N. Maroma, Dolly P. Maroma, Bernardo A. Pangilinan

ASEAN Journal of Community Engagement

This study addresses the development of an automated egg incubator with backup power supply that could benefit farmer communities through the developmental research approach. A prototype is developed to respond to the needs for uninterrupted incubation which is affected by the frequent power outages that reduce its efficiency in egg handling. In this project, the automated egg incubator with a backup power supply is designed to hatch a capacity of 150 eggs (75 setters and 75 hatchers) every 21 days, ensuring continuous operation even in the absence of a consistent power supply. An inverter, connected to a battery, ensures a …

A Phase Change Memory And Dram Based Framework For Energy-Efficient And High-Speed In-Memory Stochastic Computing, Supreeth Mysore

Theses and Dissertations--Electrical and Computer Engineering

Convolutional Neural Networks (CNNs) have proven to be highly effective in various fields related to Artificial Intelligence (AI) and Machine Learning (ML). However, the significant computational and memory requirements of CNNs make their processing highly compute and memory-intensive. In particular, the multiply-accumulate (MAC) operation, which is a fundamental building block of CNNs, requires enormous arithmetic operations. As the input dataset size increases, the traditional processor-centric von-Neumann computing architecture becomes ill-suited for CNN-based applications. This results in exponentially higher latency and energy costs, making the processing of CNNs highly challenging.

To overcome these challenges, researchers have explored the Processing-In Memory (PIM) …

Establishing The Foundation To Robotize Complex Welding Processes Through Learning From Human Welders Based On Deep Learning Techniques, Rui Yu

Theses and Dissertations--Electrical and Computer Engineering

As the demand for customized, efficient, and high-quality production increases, traditional manufacturing processes are transforming into smart manufacturing with the aid of advancements in information technology, such as cyber-physical systems (CPS), the Internet of Things (IoT), big data, and artificial intelligence (AI). The key requirement for integration with these advanced information technologies is to digitize manufacturing processes to enable analysis, control, and interaction with other digitized components. The integration of deep learning algorithm and massive industrial data will be critical components in realizing this process, leading to enhanced manufacturing in the Future of Work at the Human-Technology Frontier (FW-HTF).

This …

Application Of Conventional Feedforward And Deep Neural Networks To Power Distribution System State Estimation And State Forecasting, James Paul Carmichael

Theses and Dissertations--Electrical and Computer Engineering

Classical neural networks such as feedforward multilayer perceptron models (MLPs) are well established as universal approximators and as such, show promise in applications such as static state estimation in power transmission systems. This research investigates the application of conventional neural networks (MLPs) and deep learning based models such as convolutional neural networks (CNNs) and long short-term memory networks (LSTMs) to mitigate challenges in power distribution system state estimation and forecasting based upon conventional analytic methods. The ability of MLPs to perform regression to perform power system state estimation will be investigated. MLPs are considered based upon their promise to learn …

Modeling The Early Visual System, Nicholas Lanning

Theses and Dissertations--Electrical and Computer Engineering

There are two encoding schema present in simple cells in the early visual system of vertebrates: the retinal simple cells activate highly when the receptive field contains a center surround stimulus, while the primary visual cortex’s (V1) simple cells activate highly when the receptive field contains visual edges. Work has been done in the past to enforce constraints on visual machine learning such that the retinal or V1 encoding is learned, but this work is often done to emulate retinal and V1 encoding in a vacuum. Recent work using convolutional neural networks focuses on anatomical constraints along with a supervised …

การเปรียบเทียบปริมาณการปล่อยก๊าซคาร์บอนไดออกไซด์ระหว่างยานยนต์สันดาปกับยานยนต์ไฟฟ้าแบตเตอรี่ในประเทศไทยด้วยแบบจำลองปัจจัยการผลิตและผลผลิต, ชณาภัทร์ สว่างศรี

Chulalongkorn University Theses and Dissertations (Chula ETD)

โครงสร้างการผลิตไฟฟ้าของประเทศไทยซึ่งเป็นเชื้อเพลิงของยานยนต์ไฟฟ้ามีสัดส่วนการพึ่งพาพลังงานจากเชื้อเพลิงฟอสซิลมากถึงร้อยละ 74.88 ของกำลังการผลิตในปี 2562 จึงเกิดคำถามวิจัยว่า การเปลี่ยนผ่านจากยานยนต์สันดาปสู่ยานยนต์ไฟฟ้าตามมาตรการการส่งเสริมยานยนต์ไฟฟ้าเพื่อลดการปล่อยก๊าซคาร์บอนไดออกไซด์ในภาคขนส่ง เป็นเพียงการย้ายการปล่อยก๊าซคาร์บอนไดออกไซด์จากภาคขนส่งสู่ภาคพลังงานเท่านั้นหรือไม่ การศึกษานี้มีวัตถุประสงค์เพื่อเปรียบเทียบการปล่อยก๊าซคาร์บอนไดออกไซด์ที่เกิดขึ้นจากการผลิตและการใช้งานยานยนต์ระหว่างยานยนต์สันดาปและยานยนต์ไฟฟ้าแบตเตอรี่ในประเทศไทย ซึ่งไม่รวมส่วนของการบำรุงรักษา และการกำจัดซาก โดยใช้แบบจำลองปัจจัยการผลิตและผลผลิตวิเคราะห์การเปลี่ยนแปลงที่เกิดขึ้นจากความต้องการยานยนต์และเชื้อเพลิง และหาปริมาณปล่อยก๊าซคาร์บอนไดออกไซด์จากการเปลี่ยนแปลงดังกล่าวผ่านค่าสัมประสิทธิ์การปล่อยก๊าซคาร์บอนไดออกไซด์ต่อหน่วยของมูลค่าผลผลิต ผลการศึกษาพบว่ากระบวนการผลิตยานยนต์สันดาปก่อให้เกิดการปล่อยก๊าซคาร์บอนไดออกไซด์ 12.45 ตันต่อรถยนต์ 1 คัน ในขณะที่กระบวนการผลิตยานยนต์ไฟฟ้าแบตเตอรี่ก่อให้เกิดการปล่อยก๊าซคาร์บอนไดออกไซด์ 14.85 ตันต่อรถยนต์ 1 คัน เมื่อพิจารณาการปล่อยก๊าซคาร์บอนไดออกไซด์จากการใช้งานยานยนต์เป็นระยะเวลา 5 ปี พบว่าการผลิตเชื้อเพลิงน้ำมันมีปริมาณการปล่อยก๊าซคาร์บอนไดออกไซด์ 1.86 ตัน และมีปริมาณการปล่อยก๊าซคาร์บอนไดออกไซด์จากการขับเคลื่อนยานยนต์สันดาป 21.80 ตัน ในขณะที่ปริมาณก๊าซคาร์บอนไดออกไซด์จากการผลิตเชื้อเพลิงกระแสไฟฟ้าเพื่ออัดประจุยานยนต์มีค่า 7.08 ตัน ทำให้โดยรวมการผลิตและใช้งานยานยนต์สันดาปมีปริมาณการปล่อยก๊าซคาร์บอนไดออกไซด์ 36.11 ตัน และการผลิตและใช้งานยานยนต์ไฟฟ้าแบตเตอรี่มีปริมาณการปล่อยก๊าซคาร์บอนไดออกไซด์ 21.93 ตัน ทั้งนี้ยังไม่นับรวมปริมาณการปล่อยก๊าซคาร์บอนไดออกไซด์จากการเปลี่ยนแบตเตอรี่ของยานยนต์ไฟฟ้าแบตเตอรี่ซึ่งมีรอบระยะการเปลี่ยนที่ 5–8 ปี การเปลี่ยนจากยานยนต์สันดาปมาใช้งานยานยนต์ไฟฟ้าแบตเตอรี่ในระยะเวลา 5 ปี จะปล่อยก๊าซคาร์บอนไดออกไซด์ลดลงร้อยละ 39.26 โดยภาคขนส่งจะมีการปล่อยก๊าซคาร์บอนไดออกไซด์ลดลง แต่ในภาคการผลิตไฟฟ้าจะมีการปล่อยก๊าซคาร์บอนไดออกไซด์เพิ่มสูงขึ้น นอกจากนี้การศึกษายังพบว่าการปรับเปลี่ยนเทคโนโลยีของสาขาการผลิตไฟฟ้าเป็นปัจจัยสำคัญในการลดการปล่อยก๊าซคาร์บอนไดออกไซด์โดยรวมของประเทศ

Development And Analysis Of A Game Play In Chulalongkorn University Central Library Metaverse, Aisha Munir

Chulalongkorn University Theses and Dissertations (Chula ETD)

Metaverse is the next generation of the internet that allows people to interact with digital content in a more immersive and interactive way. This paradigm shift extends to the realm of education, where the concept of a smart campus is reshaping traditional educational systems. This research focuses on the integration of the metaverse in education, with a specific emphasis on smart libraries. Recognizing libraries as integral components of educational systems, this study proposes a metaverse platform for Chulalongkorn University's central library. The proposed platform enables users to explore the virtual library remotely and simulate resource classification and physical service in …

การพัฒนาพิพิธภัณฑ์จุฬาลงกรณ์มหาวิทยาลัยเสมือน สำหรับการเยี่ยมชมพร้อมกันหลายราย, ญาดา อังสนานนท์

Chulalongkorn University Theses and Dissertations (Chula ETD)

วิทยานิพนธ์ฉบับนี้ได้สร้างพิพิธภัณฑ์จุฬาลงกรณ์มหาวิทยาลัยในโลกเสมือนจริงสำหรับการใช้งานบนอุปกรณ์คอมพิวเตอร์ ครอบคลุมตัวอาคารทั้งหลัง และสร้างนิทรรศการในโลกเสมือนที่จัดแสดงเรื่องราวที่เกี่ยวข้องกับประวัติศาสตร์ของจุฬาลงกรณ์มหาวิทยาลัยให้ใกล้เคียงกับนิทรรศการจริงที่จัดแสดงอยู่บนชั้น 4 ของอาคาร ในระบบที่สร้างขึ้นนี้สามารถรองรับผู้ใช้งานได้พร้อมกันได้หลายราย โดยผู้ใช้แต่ละรายสามารถสร้างสรรค์ตัวละครใหม่ ๆ ที่หลากหลายเพื่อแสดงความเป็นตัวตนบนโลกเสมือนได้อย่างอิสระและมีเอกลักษณ์ที่เป็นของตนเอง ผู้เข้าเยี่ยมชมสามารถปรับเปลี่ยนมุมมองของกล้องให้มีระยะใกล้ไกลได้ช่วยให้อ่านเนื้อหาและข้อความต่าง ๆ ได้ และสามารถเคลื่อนไหวได้อย่างอิสระ ไม่ว่าจะเป็นการเดิน วิ่ง กระโดด หรือแม้กระทั่งการเทเลพอร์ตไปยังจุดต่าง ๆ ภายในมีการนำเสนอความรู้ทางประวัติศาสตร์ในรูปแบบของ เสียงบรรยาย รูปภาพ วีดิทัศน์ และข้อความ ทำให้ผู้เยี่ยมชมสามารถเรียนรู้ประวัติศาสตร์และเหตุการณ์สำคัญของจุฬาลงกรณ์มหาวิทยาลัยร่วมกันกับผู้อื่นได้ตลอดทุกช่วงเวลาโดยไม่จำเป็นต้องอยู่ในสถานที่เดียวกัน ผลการทดลองในเบื้องต้นกับผู้ใช้งานที่ไม่คุ้นเคยกับเทคโนโลยีโลกเสมือนพบว่าผู้ใช้งานรู้สึกตื่นเต้นและพึงพอใจกับประสบการณ์ใหม่ที่ได้รับจากการท่องไปในโลกพิพิธภัณฑ์เสมือนแห่งนี้ ที่ได้รับการพัฒนาให้มีความสมจริงและเข้าถึงได้ง่าย จึงนับเป็นจุดเริ่มต้นของการนำเทคโนโลยีโลกเสมือนมาประยุกต์ใช้ให้เกิดเป็นมิติใหม่ของการเผยแพร่เรื่องราวทางประวัติศาสตร์ของจุฬาลงกรณ์มหาวิทยาลัยได้อย่างกว้างขวาง

Teaching Data Acquisition Through The Arduino-Driven Home Weather Station Project, Sheryl Dutton, Kurt Galderisi, Murat Kuzlu, Otilia Popescu, Vukica Jovanovic

Engineering Technology Faculty Publications

The main objective of this paper is to present one possible way to engage undergraduate students in designing a system that uses the Internet of Things (IoT) strategy for data acquisition and management. The MATLAB home weather station project presented here was developed by a team of students for the senior design course in the Electrical Engineering Technology undergraduate program at Old Dominion University (ODU). The main purpose of this project was for undergraduate students to learn how to create a localized, compact, and precise weather station. Utilizing various sensors, both homemade and sourced online, this weather station is capable …

Development Of A Simevents Model For Printed Circuit Board (Pcb) Assembly Processes, Siqin Dong, Mileta Tomovic, Krishnanand Kaipa

Engineering Technology Faculty Publications

Printed circuit boards (PCBs) are the foundational building blocks of most modern electronic devices. PCB assembly is defined as the process of mounting different electronic components on a PCB. Circuit board assembly utilizes an automated technique with most steps completed by machines for different operations (e.g., pick-and-place components, soldering, etc.). In this paper, details of a student course project, carried out at Old Dominion University, on the design and simulation of PCB assembly processes based on MATLAB discrete-event system are presented. An essential component in the advanced manufacturing technology course is the hands-on experience where students implement multiple software simulation …

Battery Energy Storage Systems Applications And Deployment In Dense Urban Areas, Mohamed K. Kamaludeen

Dissertations and Theses

Energy Storage has emerged as an important focus of the U.S. federal government, which has established the goal of developing global leadership in energy storage and has a near-term focus on strengthening the supply chain, manufacturing, and funding streams available to achieve the overarching objectives. At the state level, similar efforts are underway in which policy objectives have set aggressive targets around energy storage deployment. New York State, through its landmark climate act “CLCPA” and subsequent Energy Storage roadmap 2.0, has set one of the most aggressive goals in the Country targeting 6,000MW of energy storage by 2030. While much …

Topological Photonic Metasurfaces For Light Manipulation And Strong Light-Matter Interaction, Svetlana Kiriushechkina

Dissertations and Theses

High-resolution nanopatterning techniques, such as electron beam lithography, extended opportunities for implementation of the various designs of photonic structures which exhibit exciting physical phenomena in the optical domain. A straightforward fabrication of on-slab nanostructures is advantageous for integration with various photonic on-chip devices. Last decade all-dielectric periodic nanostructures (photonic metasurfaces) boost a growth of novel optical technologies, from ultra-sensitive detectors to compact beam structured lasers. Moreover, they represent one of the most promising platforms in which topological phases can be explored and exploited.

Topological photonic structures attract a significant interest owing to their outstanding properties such as a resilience to …