Electrical and Electronics Commons^™

Automated Blind Control, Daniel Nahra, Matthew Lacek, Timothy Kurczewski, William Daulton Baksa

Williams Honors College, Honors Research Projects

The objective of this project would be to design and prototype an automated, light and temperature sensing window blinds system. The device would detect temperature, both inside and outside, and incoming sunlight to determine proper window blind position for maximum energy savings. The user would also have the ability to change the settings of the blind from a remote device to a setting that they desire at any given time

Investigation Of Surface Charge Using Faraday Bucket Measurements: Analysis On Electrospun Polyvinylidene Fluoride Fiber Mats, Ryan Kantenwein

Williams Honors College, Honors Research Projects

Piezoelectric polymer materials such as polyvinylidene fluoride exhibit beneficial properties for use in personal protective equipment (PPE) against viral contaminants and other foreign microparticles. The electrospinning process of this material allows for surface charge to develop over a controlled surface area. Kynar 761 at 10 wt% demonstrates increased surface charge after withstanding a flow of aerated NaCl particles from a TSI 8130 instrument. Utilizing voltage measurements from a Faraday bucket, 18 wt% Kynar 761 and MG-15 exhibit surface charge when undergoing an electrospinning process; however, Kynar MG-15 displays lower charge values than that of Kynar 761. Several critical factors such …

Door Barricade, Alex Cerino

Williams Honors College, Honors Research Projects

My senior capstone project will be a door barricade. The main idea for the use of the door barricade is for schools in the case of an intruder. The barricade that I will be designing is a solution to the inefficient barricades that I saw at my high school. It could also be used at businesses and homes. My design would be easy to use and have a fail-safe option. The two areas of mechanical engineering technology that my capstone project will focus on are stress analysis and electronics. Every part for my door barricade is drawn in SolidWorks. All …

Light Loaded Automated Guided Vehicle, Marcus Radtka, Nazar Paramashchuk, Lawrence Shevock

Williams Honors College, Honors Research Projects

The objective of the locomotion system was to design and implement the mechanical, electrical, and software related functions to ensure the LLAGV had the capability of maneuvering its surroundings. The LLAGV’s motors were represented in an open loop transfer function to utilize RPM feedback and a compensator when needed. The modeled compensator helped control the LLAGV’s speed and acceleration, enabling further control of the LLAGV. The internal circuitry has the means to properly distributed power to all components and allowed the user to control the LLAGV to their desire. The application software within the LLAGV locomotion system (LLAGV-LS) had consideration …

Obstructive Wiring Patterns To Circular Planarity In Electrical Networks, Hannah Lebo

Williams Honors College, Honors Research Projects

In order for an electrical network to be printed on a flat surface without changing the network’s input or output, it is important to consider if any wires will cross and if this problem can be avoided. If a circular network can be printed so that no wires cross, the network is said to be circular planar. In this paper, we identify a number of wiring patterns that make circular planarity impossible. We find exactly 3 wiring patterns using circular pairs with sets of two nodes, and we find exactly 78 wiring patterns using circular pairs with sets of three …

Interferometry In Fmcw Radars, Assid Nait, Theodore Grosch

The Kennesaw Journal of Undergraduate Research

interferometry is used in many fields using all frequencies of the electromagnetic spectrum and sound waves. In this study, data was collected from an FMCW radar is used at multiple heights above a flat surface on which sat a single retroreflector. These data were post-processed to discover the signal obtained from the target and then the phase form the radar at multiple locations was compared. Using the known geometry and measured phase, we find the interferometry is possible using a freerunning radar under certain geometric conditions.

Smart Nails For Lithium-Ion Battery Internal Short Circuit And Thermal Runaway Characterization, Mary Kate Long, Siyi Liu

Summer Community of Scholars Posters (RCEU and HCR Combined Programs)

No abstract provided.

Development Of Fiber-Optic High-Temperature Heat Flux Sensors For Venus Exploration, Sara Mog

Summer Community of Scholars Posters (RCEU and HCR Combined Programs)

No abstract provided.

Electric Power Systems And Components For Electric Aircraft, Damien Lawhorn

Theses and Dissertations--Electrical and Computer Engineering

Electric aircraft have gained increasing attention in recent years due to their potential for environmental and economic benefits over conventional airplanes. In order to offer competitive flight times and payload capabilities, electric aircraft power systems (EAPS) must exhibit extremely high efficiencies and power densities. While advancements in enabling technologies have progressed the development of high performance EAPS, further research is required.

One challenge in the design of EAPS is determining the best topology to be employed. This work proposes a new graph theory based method for the optimal design of EAPS. This method takes into account data surveyed from a …

Toward Intelligent Welding By Building Its Digital Twin, Qiyue Wang

Theses and Dissertations--Electrical and Computer Engineering

To meet the increasing requirements for production on individualization, efficiency and quality, traditional manufacturing processes are evolving to smart manufacturing with the support from the information technology advancements including cyber-physical systems (CPS), Internet of Things (IoT), big industrial data, and artificial intelligence (AI). The pre-requirement for integrating with these advanced information technologies is to digitalize manufacturing processes such that they can be analyzed, controlled, and interacted with other digitalized components. Digital twin is developed as a general framework to do that by building the digital replicas for the physical entities. This work takes welding manufacturing as the case study to …

Deep Models For Improving The Performance And Reliability Of Person Recognition, Sobhan Soleymani

Graduate Theses, Dissertations, and Problem Reports (ETD)

Deep models have provided high accuracy for different applications such as person recognition, image segmentation, image captioning, scene description, and action recognition. In this dissertation, we study the deep learning models and their application in improving the performance and reliability of person recognition. This dissertation focuses on five aspects of person recognition: (1) multimodal person recognition, (2) quality-aware multi-sample person recognition, (3) text-independent speaker verification, (4) adversarial iris examples, and (5) morphed face images. First, we discuss the application of multimodal networks consisting of face, iris, fingerprint, and speech modalities in person recognition. We propose multi-stream convolutional neural network architectures …

Electroosmotic Flow Of Viscoelastic Fluid Through A Constriction Microchannel, Jianyu Ji, Shizhi Qian, Zhaohui Liu

Mechanical & Aerospace Engineering Faculty Publications

Electroosmotic flow (EOF) has been widely used in various biochemical microfluidic applications, many of which use viscoelastic non-Newtonian fluid. This study numerically investigates the EOF of viscoelastic fluid through a 10:1 constriction microfluidic channel connecting two reservoirs on either side. The flow is modelled by the Oldroyd-B (OB) model coupled with the Poisson–Boltzmann model. EOF of polyacrylamide (PAA) solution is studied as a function of the PAA concentration and the applied electric field. In contrast to steady EOF of Newtonian fluid, the EOF of PAA solution becomes unstable when the applied electric field (PAA concentration) exceeds a critical value for …

Floating-Gate Design And Linearization For Reconfigurable Analog Signal Processing, Steven Michael Andryzcik Ii

Graduate Theses, Dissertations, and Problem Reports (ETD)

Analog and mixed-signal integrated circuits have found a place in modern electronics design as a viable alternative to digital pre-processing. With metrics that boast high accuracy and low power consumption, analog pre-processing has opened the door to low-power state-monitoring systems when it is utilized in place of a power-hungry digital signal-processing stage. However, the complicated design process required by analog and mixed-signal systems has been a barrier to broader applications. The implementation of floating-gate transistors has begun to pave the way for a more reasonable approach to analog design. Floating-gate technology has widespread use in the digital domain. Analog and …

Re-Design Of Precision Signal Conditioning Circuit For Detecting Schumann Resonance, Rohith Bikkina

Graduate Theses, Dissertations, and Problem Reports (ETD)

Extremely low frequencies signals are waves between 3 to 30Hz and corresponding wavelengths between 10,000 to 100,000 kilometers. The specific signals used here are generated from lightning and are excited at frequencies around 8Hz, 14Hz, 20Hz. These are often called Schumann Resonance frequencies. Several stations have been built around the world for identifying ELF waves. All of those required a sparsely populated area that was far away from electric power lines because of interference from electric noise at 50 Hz and 60Hz. This project develops and tests an amplifier and filter circuit that should assist in identifying the Schumann Resonance …

Analysis Of Millimeter-Wave Networks: Blockage, Antenna Directivity, Macrodiversity, And Interference, Enass Hriba

Graduate Theses, Dissertations, and Problem Reports (ETD)

Due to its potential to support high data rates at low latency with reasonable interference isolation because of signal blockage at these frequencies, millimeter-wave (mmWave) communications has emerged as a promising solution for next-generation wireless networks. MmWave systems are characterized by the use of highly directional antennas and susceptibility to signal blockage by buildings and other obstructions, which significantly alter the propagation environment. The received power of each transmission depends on the direction the corresponding antennas point and whether the signal’s path is line-of-sight (LOS), non-LOS (i.e., partially blocked), or completely blocked. A key challenge in modeling blocking in mmWave …

Voltage Security Optimization For Power Transmission Systems, Tamer Ibrahim

Dissertations and Theses

This project proposes an optimization approach for day-ahead reactive power planning to ensure voltage security in transmission networks. The problem is formulated as a voltage-secure multi-period optimal reactive power dispatch (MP-ORPD) problem. The optimization approach searches for optimal set-points of dynamic and static reactive power (var) resources. Specifically, the output includes set-points for switching shunts, transformer taps, and voltage magnitudes at the regulated buses. The primary goal is to maximize the dynamic reactive power reserve of the system, by minimizing the reactive power supplied by synchronous generators. The secondary goal is to minimize changes in the settings of switching shunts …

Open-Source Tig-Based Metal 3d-Printing, Shane Oberloier

Dissertations, Master's Theses and Master's Reports

Metal 3-D printing has been relegated to high-cost proprietary high-resolution systems and low-resolution low-cost metal inert gas (MIG) systems. In order to provide a path to high-resolution, low-cost, metal 3-D printing, this manuscript proposes a new open source metal 3-D printer design based around a low-cost tungsten inert gas (TIG) welder coupled to a commercial open source self replicating rapid prototyper. Optimal printing parameters for the machine are acquired using a novel computational intelligence software. TIG has many advantages over MIG, such as having a low heat input, clean beads, and the potential for both high-resolution prints as well as …

Consensus Based Control Strategy For Virtual Synchronous Generators In Microgrids, Anusha Kandula

Graduate Theses, Dissertations, and Problem Reports (ETD)

Renewable energy sources such as photo-voltaic and wind energy are integrating very rapidly in power systems. These energy-based systems typically adopt power-electronic interfaced inverters to connect to the grid. However, unlike traditional generators, these sources have low inertia, resulting in system stability issues, especially in microgrids where they are the primary sources. To mitigate the low-inertia effect, the inverters are modeled as virtual synchronous generators (VSG), and their control is designed. The VSG emulates the inertia effect of the synchronous generator and maintains the stability of the system. Even though the droop control provides the primary control, it is insufficient …

Single Image Super-Resolution Using Capsule Generative Adversarial Network, Amir Hajian

Chulalongkorn University Theses and Dissertations (Chula ETD)

The current research aims to investigate and propose a Generative Adversarial Network (GAN) architecture [53] using capsule network architecture [76] in the discriminator module of the proposed model (Caps-GAN) for Single Image Super-Resolution. Besides, the study aims to develop the proposed SR framework in three scale factors. Finally, the performance of Caps-GAN is compared with other state-of-the-art models. Our Caps-GAN model consists of three fundamental components: the generator module, capsule discriminator module, and combinations of loss functions based on the GAN concept. The proposed generator utilizes the residual in residual dense blocks (RRDB) architecture [28] under a progressively up-sampling framework …

Multi-Modal Biometric-Based Human Identification Using Deep Convolutional Siamese Neural Network, Hsu Mon Lei Aung

Chulalongkorn University Theses and Dissertations (Chula ETD)

Biometric recognition is a critical task in security control systems. Although face biometric has long been granted the most accepted and practical biometric for human recognition, it can be easily stolen and imitated. It also has challenges getting reliable facial information from the low-resolution camera. In contrast, a gait physical biometric has been recently used for recognition. It can be more complicated to replicate and can also be taken from reliable information from the poor-quality camera. However, human body recognition has remained a problem since the lack of full-body detail within a short distance. Moreover, the unimodal biometric system still …

Deep Learning With Attention Mechanism For Iterative Face Super-Resolution, Krit Duangprom

Chulalongkorn University Theses and Dissertations (Chula ETD)

Face images are widely used in many applications, such as face recognition and face identification. Regarding security, face identification is used to track the crimes. However, the camera's low resolution and environmental degradation problem hinders the face application's performance. In this thesis, we study face image super-resolution to restore the image from low-resolution to high-resolution. We proposed deep learning with an attention mechanism for iterative face super-resolution that included an image super-resolution network and face alignment network combined. The input low-resolution image is enlarged into a super-resolution face image. Then, the image has repeatedly estimated the alignment to enhance the …

Hybrid Gns3 And Mininet-Wifi Emulator For Survivable Sdn Backbone Network Supporting Wireless Iot Traffic, May Pyone Han

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis has designed and implemented an emulated testbed for fault-tolerant delay awareness routing for wireless sensor traffic by using software-defined networking (SDN) at the backbone network. In this work, the hybrid form of GNS3 and Mininet-WiFi emulation network testbed is proposed to build an emulated SDN-based backbone network in GNS3 and an emulated IPv6 over Low Power Personal Area Network (6LoWPAN) in Mininet-WiFi. Three virtual machines are used to set up the hybrid emulated SDN-based network testbed. The Mininet-WiFi platform which is used to build the emulated 6LoWPAN sensor network is installed in two virtual machines separately and the …

Deployment Of Rfid, Gps And Iot Technology For Medical Specimen Logistic System, Mya Myet Thwe Chit

Chulalongkorn University Theses and Dissertations (Chula ETD)

This paper aims to implement a specimen logistic system using RFID technology combined with modern IoT technology in Chulalongkorn hospital. The specimen is a sample collected from the human body. Samples can be urine, saliva, sputum, feces, semen, and other bodily fluids and tissues. Samples are usually collected from the patient and stored in a test tube. Then test tubes are delivered to the corresponding laboratory for examination. Normally, barcodes are tagged over the test tubes for the purpose of recording patient information. In this work, RFID is deployed on the test tube instead for patient data logging. This solution …

Simplified Tone Reservation-Based Techniques For Peak-To-Average Power Ratio Reduction Of Orthogonal Frequency Division Multiplexing Signals, Rafee Al Ahsan

Chulalongkorn University Theses and Dissertations (Chula ETD)

Orthogonal Frequency Division Multiplexing (OFDM) is one of the preferred modulation techniques for modern wireless communications networks, due to its high spectral efficiency and immunity to frequency selective channels. However, OFDM signals are known to suffer from a large peak-to-average power ratio (PAPR). OFDM signals with high PAPR values will inevitably be clipped by the power amplifiers (PA), causing signal distortion and out-of-band radiation, that would lead to the deterioration of bit error rate performance. This thesis focuses on a class of PAPR reduction techniques called tone reservation (TR) techniques, which possesses three desirable features, namely high PAPR reduction gain, …

Identification And Counting White Blood Cell Subtypes With Convolutional Neural Network, Singgih Bekti Worsito

Chulalongkorn University Theses and Dissertations (Chula ETD)

White blood cell (WBC) has five subtypes namely neutrophil, eosinophil, basophil, lymphocyte, and monocyte which play specific roles in the immune system and against diseases. The object detection model applied to microscopic objects is introduced to assist experts in performing tasks in blood analysis. Unbalanced cell composition of WBC subtypes to be detected is a challenge in building a model in Convolutional Neural Network (CNN). This research aims to build models in recognizing and counting WBC subtypes with neural networks constructed from augmented data enrichment. CNN is demonstrated in this study with the YOLOv5s, YOLOv5l, and YOLOv5x models to detect …

Topology Optimization For Cnn Using Neuroevolution, Kevin Richard G. Operiano

Chulalongkorn University Theses and Dissertations (Chula ETD)

In the recent years, the architecture of the convolutional neural networks has become much deeper and more complex to improve their performance. Consequently, they require large datasets and a considerable amount of computational resources. However, in some applications such as medical imaging analysis, datasets are scarce and difficult to collect. In these cases, deep networks cannot be trained enough, which makes them susceptible to overfitting. Moreover, not all institutions have access to abundant computational resources. Designing a small network that performs as well as a deep network requires expertise and a great effort. Neuroevolution is therefore proposed to automatically discover …

Impact Analysis Of Variable Renewable Energy Integration On Total System Costs And Electricity Generation Revenue And Impact Mitigation, Veeraya Imcharoenkul

Chulalongkorn University Theses and Dissertations (Chula ETD)

Variable renewable energy (VRE) integration creates additional costs, called integration costs. These costs have grown with VRE penetration, potentially increasing the total system costs delivered to customers (direct integration costs) and decreasing electricity generation revenue, discouraging investment by generators (indirect integration costs). Thus, integration costs can serve as an economic barrier to the integration of high VRE shares. The main objective of this dissertation is to propose a novel method of determining the impacts of VRE integration on total system costs and electricity generation revenue. With this method, the optimal generation mix and optimal generation schedules at the specific VRE …

Real-Time Image Super-Resolution Reconstruction For System On Chip Fpga, Watchara Ruangsang

Chulalongkorn University Theses and Dissertations (Chula ETD)

In recent years, image super-resolution (SR) techniques based on Convolutional Neural Network (CNN) have achieved impressive attention from computer vision scholars and artificial intelligence (AI) companies. Due to the necessity of using the SR algorithms in real-world applications, designing an efficient and lightweight SR algorithm that improves the sharpness and visual quality of the SR results is a critical issue in real-time hardware implementation. To address these issues, we proposed the Multi-FusNet of Cross Channel Network (MFCC) network by constructing the groups of Residual-in-Residual architecture under the multi-path cascading framework. Additionally, a residual connection is used to transfer the low-level …

การพัฒนาขั้นตอนวิธีสำหรับจำแนกโรคอ้อยที่พบมากในประเทศไทย, ณัฏฐ์ภัค ลาวัลย์วงศ์

Chulalongkorn University Theses and Dissertations (Chula ETD)

สำหรับการจำแนกโรคอ้อยที่พบมากบนพันธุ์ขอนแก่น 3 ซึ่งเป็นพันธุ์อ้อยที่ได้รับความนิยมมากที่สุดในประเทศไทย จะให้ความสำคัญในการวิเคราะห์โรคที่ส่งผลรุนแรงต่อใบอ้อย เช่น โรคที่เกิดจากแบคทีเรีย เชื้อรา และแมลง จากการตรวจหาและระบุโรคที่เกิดขึ้นในอ้อยซึ่งต้องการผู้เชี่ยวชาญที่มีประสบการณ์และเวลา จึงมีแนวคิดในการสร้างระบบที่ช่วยในการจำแนกโรคอ้อยที่มีความแม่นยำอย่างอัตโนมัติ ซึ่งส่งผลให้การวินิจฉัยโรคทำได้รวดเร็วมากขึ้น เป็นระบบอัจฉริยะสำหรับจำแนกประเภทและลักษณะอาการของโรคอ้อย (Intelligent System Diagnosis Sugarcane Diseases with Deep Convolutional Neural Network) เป็นระบบที่ให้ผู้ใช้งานอัพโหลดรูปภาพใบอ้อย สามารถบ่งบอกโรคอ้อยและระบุสาเหตุพร้อมวิธีการป้องกันหรือควบคุม โดยระบบมีความสามารถในการจำแนกชนิดของโรคอ้อย 5 คลาส ได้แก่ โรคเส้นกลางใบแดง (Red Rot) โรคราสนิม (Rust) โรคใบจุดวงแหวน (Ring Spot) โรคใบขาว (White Leaf) และใบสมบูรณ์ (Normal) ที่มีค่า Mean Average Precision (mAP) สูงถึง 0.8681 หรือร้อยละ 86.81

การวิเคราะห์สมรรถนะของโพรโทคอลการควบคุมการเข้าถึงตัวกลางแบบฟูลดูเพลกซ์อสมมาตรในกรณีที่มีสถานีซ่อนเร้น, ธีศิษฎ์ ศรีประเสริฐ

Chulalongkorn University Theses and Dissertations (Chula ETD)

วิทยานิพนธ์ฉบับนี้นำเสนอการจำลองทำงานของโพรโทคอลการเข้าถึงตัวกลางแบบฟูลดูเพลกซ์แบบอสมมาตรด้วยโปรแกรมคอมพิวเตอร์ เพื่อใช้ในการประเมินสมรรถนะของระบบทั้งในสภาวะที่มีและไม่มีสถานีซ่อนเร้น ในงานวิจัยนี้เริ่มจากการศึกษามาตรฐานโพรโทคอล IEEE802.11 และประเมินค่าทรูพุตของระบบโดยพิจารณาถึงผลกระทบของการมีอยู่ของสถานีซ่อนเร้น ผลการทดสอบพบว่าสถานีซ่อนเร้นเป็นปัญหาหลักของโพรโทคอลการเข้าถึงตัวกลางที่อาศัยกลไกการจับมือสองทาง กล่าวคือ ค่าทรูพุตของระบบลดลงจากกรณีที่ไม่มีสถานีซ่อนเร้นอย่างมีนัยสำคัญ ในทางปฏิบัติ การใช้กลไกการจับมือแบบสี่ทางเป็นวิธีที่ถูกนำมาใช้งานเพื่อแก้ปัญหาของสถานีซ้อนเร้น ผลการทดสอบด้วยโปรแกรมที่พัฒนาขึ้นกับตัวอย่างโครงข่ายกรณีศึกษาแสดงให้เห็นว่าการเพิ่มกระบวนการการขอการส่งแพ็กเก็ตอาร์ทีเอสและการตอบรับด้วยแพ็กเก็ตซีทีเอสเป็นกลไกที่ช่วยลดผลกระทบของสถานีซ้อนเร้นได้อย่างมีประสิทธิภาพ สอดคล้องตรงกับงานวิจัยที่มีอยู่เดิม ผู้เขียนได้ทำการพัฒนาโปรแกรมต่อยอดให้สามารถจำลองการทำงานของระบบการสื่อสารแบบฟูลดูเพลกซ์แบบอสมมาตร เพื่อใช้ในการศึกษา วิเคราะห์ และประเมินสรรถนะ ในการใช้งานโปรแกรมสามารถกำหนดให้สถานีอยู่ ณ ตำแหน่งใด ๆ ก็ได้ เพื่อให้สามารถจำลองสถานการณ์ที่มีสถานีซ้อนเร้นในรูปแบบต่างกันได้ตามต้องการ โดยได้ทำการจำลองในหลาย ๆ สถานการณ์ ในขนาดหน้าต่างช่วงชิง 16 และ 32 ผลการทดสอบพบว่าการที่สถานีไม่มีการซ่อนเร้นกันเลยทำให้ไม่สามารถสร้างฟูลดูเพลกซ์ได้ เนื่องจากสัญญารบกวนกันของสถานีที่อยู่ใกล้กัน เมื่อนำวิธีผลกระทบจากการยึดได้ มาใช้งาน ผลการทดสอบทำให้สามารถสร้างสร้างฟูลดูเพลกซ์ได้ และได้ค่าทรูพุตที่ดีขึ้น ในการทดลองต่อไปคือการทำในรูปแบบที่มีสถานีซ่อนเร้นกัน ผลการทดลองพบว่าสามารถสร้างสร้างฟูลดูเพลกซ์ได้ และเมื่อนำวิธีผลกระทบจากการยึดได้ มาใช้งานทำให้ค่าทรูพุตดีขึ้นประมาณ 5-10 % โดยประมาณ การทดลองต่อไปเป็นการทดลองเพิ่มสถานีส่งให้มากขึ้น ผลการทดลองพบว่าค่าทรูพุตจะลดลงตามลำดับจำนวนสถานีทั้งในกรณีที่ใช้ผลกระทบจากการยึดได้ และไม่ใช้เพราะสถานีที่มากขึ้นจะทำการแย่งกันส่งสัญญาณชนกัน และสิ่งที่สังเกตที่ได้จากการทดลองของการใช้ผลกระทบจากการยึดได้ ก็คือสถานีปลายทางจะรับข้อมูลได้อย่างยุติธรรมมากขึ้น