Statistical Methods To Unravel Cortical Mechanism Of Perception And Response To Auditory Stimuli,
2020
University at Albany, State University of New York
Statistical Methods To Unravel Cortical Mechanism Of Perception And Response To Auditory Stimuli, Ladan Moheimanian
Legacy Theses & Dissertations (2009 - 2024)
Behavioral responses to auditory stimuli have a critical role in our daily activities. The perception of these stimuli and the generation of appropriate behavioral responses requires the interaction of thousands of neurons in the auditory-motor pathways in the brain. Despite their importance, still many neuroscientific questions about these interactions are remained to be answered. This may result from the limitations of brain recordings as well as statistical methods to analyze brain recordings. In this dissertation, I investigated underlying mechanisms that govern these neural interactions in the auditory-motor pathways using novel statistical techniques applied to the brain recordings from the surface …
Fault Detection And Classification Of A Single Phase Inverter Using Artificial Neural Networks,
2020
Minnesota State University, Mankato
Fault Detection And Classification Of A Single Phase Inverter Using Artificial Neural Networks, Ayomikun Samuel Orukotan
All Graduate Theses, Dissertations, and Other Capstone Projects
The detection of switching faults of power converters or the Circuit Under Test (CUT) is real-time important for safe and efficient usage. The CUT is a single-phase inverter. This thesis presents two unique methods that rely on backpropagation principles to solve classification problems with a two-layer network. These mathematical algorithms or proposed networks are able to diagnose single, double, triple, and multiple switching faults over different iterations representing range of frequencies. First, the fault detection and classification problems are formulated as neural network-based classification problems and the neural network design process is clearly described. Then, neural networks are trained over …
Design, Construction, And Characterization Of A Combined Mini-Co₂/Voc Sensor And Gas Chromatograph For Field Research,
2020
University of Central Florida
Design, Construction, And Characterization Of A Combined Mini-Co₂/Voc Sensor And Gas Chromatograph For Field Research, Rishi Basdeo, Michael Hampton
Digital Repository: Showcase of Undergraduate Research Excellence
No abstract provided.
Recent Developments In The Pyscf Program Package,
2020
Old Dominion University
Recent Developments In The Pyscf Program Package, Qiming Sun, Xing Zhang, Samragni Banerjee, Peng Bao, Marc Barbry, Nick S. Blunt, Nikolay A. Bogdanov, George H. Booth, Jia Chen, Zhi-Hao Cui, Janus J. Eriksen, Yang Gao, Sheng Gun, Jan Hermann, Matthew R. Hermes, Kevin Koh, Peter Koval, Susi Lehtola, Zhendong Li, Junzi Liu, Narbe Mardirossian, James D. Mcclain, Mario Motta, Bastien Mussard, Hung Q. Pham, Artem Pulkin, Wirawan Purwanto, Paul J. Robinson, Enrico Ronca, Elvira R. Sayfutyarova, Maximillian Scheurer, Henry F. Schurkus, James E.T. Smith, Chong Sun, Shi-Ning Sun, Shiv Upadhyay, Lucas K. Wagner, Xiao Wang, Alec White, James Daniel Whitfield, Mark J. Williamson, Sebastian Wouters, Jun Yang, Jason M. Yu, Tianyu Zhu, Timothy C. Berkelbach, Sandeep Sharma, Alexander Yu Sokolov, Garnet Kin-Lic Chan
University Administration Publications
PySCF is a Python-based general-purpose electronic structure platform that supports first-principles simulations of molecules and solids as well as accelerates the development of new methodology and complex computational workflows. This paper explains the design and philosophy behind PySCF that enables it to meet these twin objectives. With several case studies, we show how users can easily implement their own methods using PySCF as a development environment. We then summarize the capabilities of PySCF for molecular and solid-state simulations. Finally, we describe the growing ecosystem of projects that use PySCF across the domains of quantum chemistry, materials science, machine learning, and …
Opendrop Software Development,
2020
California Polytechnic State University, San Luis Obispo
Opendrop Software Development, Jiajun Guan
Electrical Engineering
To be able to transfer and mix solutions more efficiently and accurately during biology experiments, the Electrical Engineering department at Cal Poly University is planning to purchase or engineer the OpenDrop device. The OpenDrop device uses electro-wetting technology to control the movement of small droplets of water on a planar electrode array to transport and mix different solutions. This device is an open-source project and could be purchased online through the GaudiLab. The basic code of the system could be found in GitHub. With this code as a reference, the goal of this senior project is to develop the firmware, …
Resource Ecologies, Political Economies And The Ethics Of Audio Technologies In The Anthropocene,
2020
CUNY Graduate Center
Resource Ecologies, Political Economies And The Ethics Of Audio Technologies In The Anthropocene, Eliot Bates
Publications and Research
Understanding how recorded and amplified stage musics contribute towards producing the Anthropocene necessitates attending to complex transnational flows of material, capital and labor, and how they coalesce into technological objects. This is complicated by the wide array of sites, practices and knowledges involved during various stages of the production process, from initial resource extraction, to smelting, component manufacturing, technology assembly, and distribution. To develop a suitable technological ethics, and to understand what happens to environments and to human, animal and plant lifeworlds, requires one to resist abstraction and undertake a global accounting of resource ecologies with recourse to planetary-scale political …
Ev Charging Behavior Analysis Using Hybrid Intelligence For 5g Smart Grid,
2020
Rutgers University - Newark
Ev Charging Behavior Analysis Using Hybrid Intelligence For 5g Smart Grid, Yi Shen, Wei Fang, Feng Ye, Michel Kadoch
Electrical and Computer Engineering Faculty Publications
With the development of the Internet of Things (IoT) and the widespread use of electric vehicles (EV), vehicle-to-grid (V2G) has sparked considerable discussion as an energy-management technology. Due to the inherently high maneuverability of EVs, V2G systems must provide on-demand service for EVs. Therefore, in this work, we propose a hybrid computing architecture based on fog and cloud with applications in 5G-based V2G networks. This architecture allows the bi-directional flow of power and information between schedulable EVs and smart grids (SGs) to improve the quality of service and cost-effectiveness of energy service providers. However, it is very important to select …
Glaciernet: A Deep-Learning Approach For Debris-Covered Glacier Mapping,
2020
University of Dayton
Glaciernet: A Deep-Learning Approach For Debris-Covered Glacier Mapping, Zhiyuan Xie, Umesh K. Haritashya, Vijayan K. Asari, Brennan W. Young, Michael P. Bishop, Jeffrey S. Kargel
Electrical and Computer Engineering Faculty Publications
Rising global temperatures over the past decades is directly affecting glacier dynamics. To understand glacier fluctuations and document regional glacier-state trends, glacier-boundary detection is necessary. Debris-covered glacier (DCG) mapping, however, is notoriously difficult using conventional geospatial technology methods. Therefore, in this research for automated DCG mapping, we evaluate the utility of a convolutional neural network (CNN), which is a deep learning feed-forward neural network. The CNN inputs include Landsat satellite images, an Advanced Land Observation Satellite (ALOS) digital elevation model (DEM) and DEM-derived land-surface parameters. Our CNN based deep-learning approach named GlacierNet was designed by appropriately choosing the type, number …
Mitosisnet: End-To-End Mitotic Cell Detection By Multi-Task Learning,
2020
University of Dayton
Mitosisnet: End-To-End Mitotic Cell Detection By Multi-Task Learning, Md Zahangir Alom, Theus Aspiras, Tarek M. Taha, Tj Bowen, Vijayan K. Asari
Electrical and Computer Engineering Faculty Publications
Mitotic cell detection is one of the challenging problems in the field of computational pathology. Currently, mitotic cell detection and counting are one of the strongest prognostic markers for breast cancer diagnosis. The clinical visual inspection on histology slides is tedious, error prone, and time consuming for the pathologist. Thus, automatic mitotic cell detection approaches are highly demanded in clinical practice. In this paper, we propose an end-to-end multi-task learning system for mitosis detection from pathological images which is named"MitosisNet". MitosisNet consist of segmentation, detection, and classification models where the segmentation, and detection models are used for mitosis reference region …
การวางตำแหน่งที่เหมาะที่สุดของตัวขยายแสงเอสโอเอสำหรับการเชื่อมต่อระหว่างศูนย์ข้อมูลอีเทอร์เน็ต 100 กิกะบิต,
2020
คณะวิศวกรรมศาสตร์
การวางตำแหน่งที่เหมาะที่สุดของตัวขยายแสงเอสโอเอสำหรับการเชื่อมต่อระหว่างศูนย์ข้อมูลอีเทอร์เน็ต 100 กิกะบิต, พิชชากรณ์ สวัสดี
Chulalongkorn University Theses and Dissertations (Chula ETD)
วิทยานิพนธ์ฉบับนี้นำเสนอการวางตำแหน่งที่เหมาะสมของตัวขยายแสงเอสโอเอเพื่อขยายระยะทางของการสื่อสารทางแสงในการเชื่อมต่อโครงข่ายศูนย์ข้อมูล 100 กิกะบิต โดยใช้ดับเบิ้ลยูดีเอ็ม 4 ช่องสัญญาณในช่วงความยาวคลื่นในแถบความถี่โอ (1295 nm, 1300 nm, 1305 nm, และ 1310 nm) ด้วยอัตราการส่งข้อมูลช่องสัญญาณละ 25.78125 กิกะบิตต่อวินาทีตามมาตรฐาน 100GBASE-LR4 คุณภาพสัญญาณภายหลังการแทรกตัวขยายแสงเอสโอเอจะได้รับผลกระทบจาก (1) การเสื่อมโอเอสเอ็นอาร์เมื่อกำลังขาเข้าตัวขยายแสงเอสโอเอมีค่าต่ำ, (2) ผลกระทบรูปแบบบิตเมื่อกำลังขาเข้าตัวขยายแสงเอสโอเอมีค่าสูง, และ (3) เอ็กซ์จีเอ็มเมื่อใช้ขยายหลายช่องดับเบิ้ลยูดีเอ็ม เพื่อระบุการวางตำแหน่งที่เหมาะสมของตัวขยายแสงเอสโอเอ วิทยานิพนธ์ฉบับนี้ได้ประเมินคุณภาพสัญญาณจากแผนภาพรูปตาและรูปคลื่นของสัญญาณแสงรวมทั้งกราฟอัตราความผิดพลาดบิตและกราฟช่วงไดนามิก ซึ่งวัดจากการทดลองสองชุดคือ (1) ชุดแรกใช้อุปกรณ์วิจัยเพื่อเปรียบเทียบผลการทดลองกับการคำนวณผ่านโปรแกรม MATLAB ได้ และ (2) ชุดสองใช้อุปกรณ์เชิงพาณิชย์เพื่อบ่งบอกความรุนแรงของผลกระทบทั้งสามในลิงก์ดับเบิ้ลยูดีเอ็มที่ใช้จริง ผลการทดลองชุดแรกสรุปได้ว่า (1) ผลการทดลองใกล้เคียงกับผลการคำนวณอัตราความผิดพลาดบิตภายใต้ผลกระทบหลักของการเสื่อมโอเอสเอ็นอาร์ (2) ผลกระทบรูปแบบบิตไม่สามารถถูกคำนวณได้เนื่องจากเป็นผลกระทบแบบไม่เชิงเส้น โดยขึ้นอยู่กับเวลาฟื้นฟูของตัวขยายแสงเอสโอเอและลำดับไบนารี่การสุ่มแบบเทียมที่ใช้งาน, และ (3) การวางตำแหน่งที่เหมาะของตัวขยายแสงเอสโอเอคือ 40 กิโลเมตรจากภาคส่ง อีกทั้งผลการทดลองชุดสองสรุปได้ดังนี้ผลกระทบทั้งสามก่อให้เกิดโทษกำลังที่ต่างกันในการส่งข้อมูลอย่างไรก็ตามการวางตำแหน่งที่เหมาะสมของตัวขยายแสงเอสโอเอในการทดลองนี้คือระยะทาง 40 กิโลเมตรเช่นเดียวกับการทดลองแรก ท้ายสุดเมื่อส่งข้อมูลทั้งสี่ช่องสัญญาณผ่านเส้นใยแก้วนำแสงระยะทางดังกล่าวและตัวขยายแสงเอสโอเอ พบว่าอัตราความผิดพลาดบิตมีค่าต่ำกว่า 10-12 พิสูจน์การรับส่งข้อมูลตามมาตรฐาน 100GBASE-LR4 ได้
Synthesis Of Graphene Using Plasma Etching And Atmospheric Pressure Annealing: Process And Sensor Development,
2020
West Virginia University
Synthesis Of Graphene Using Plasma Etching And Atmospheric Pressure Annealing: Process And Sensor Development, Andrew Robert Graves
Graduate Theses, Dissertations, and Problem Reports (ETD)
Having been theorized in 1947, it was not until 2004 that graphene was first isolated. In the years since its isolation, graphene has been the subject of intense, world-wide study due to its incredibly diverse array of useful properties. Even though many billions of dollars have been spent on its development, graphene has yet to break out of the laboratory and penetrate mainstream industrial applications markets. This is because graphene faces a ‘grand challenge.’ Simply put, there is currently no method of manufacturing high-quality graphene on the industrial scale. This grand challenge looms particularly large for electronic applications where the …
Digital, Automated Reactive Target System,
2020
The University of Akron
Digital, Automated Reactive Target System, Nicholas Haas, Saipranay Vellala, Trandon Ware, Thomas Martin
Williams Honors College, Honors Research Projects
In this era, technology is woven into almost every facet of our leisure activities. Although technology has innovated hobbies ranging from chess to soccer, the art of shooting has been neglected. Unnecessary insufficiency such as bullet ricochets off of mechanical steel targets, ineffective progress tracking, and general inaccessibility to outdoor training facilities are all improvable areas of this sport. The Dynamic Automated Reactive Target (D.A.R.T) System aims to fill some of these gaps and help modernize recreational marksmanship. Modeling the system after a dueling tree will optimize the use of the system and allow for different training models to challenge …
Bitbilliards,
2020
The University of Akron
Bitbilliards, Grant Reinbolt
Williams Honors College, Honors Research Projects
The goal of the project is to create a billiards table capable of keeping track of the score while simultaneously racking the sunk balls under the table. To achieve this, image processing will be utilized to detect and determine which balls are above and below the table. Upon leaving the table, the balls will be held by gates to prevent the cue ball from entering the re-racking track. The balls will then enter the track and form a queue to be placed back into the triangle underneath the table. A gantry system consisting of an x and y axis will …
Interoperability Of Ip-Based Cameras,
2020
West Virginia University
Interoperability Of Ip-Based Cameras, Faythe C. Maston
Graduate Theses, Dissertations, and Problem Reports (ETD)
In this day and age of advancing technology and increasing crime, more and more citizens are investing in technology to increase their personal security. One such technology is the use of home-based IP security systems. These systems are comprised of one or more IP-based security cameras with owners preferring to have a way to view all camera feeds at once. Since not all security cameras are made to interact with each other, it is necessary to find a program that allows a user to view all security cameras at once, regardless of what brand of cameras they use. After researching, …
Programming Of Floating-Gate Transistors For Nonvolatile Analog Memory Array,
2020
West Virginia University
Programming Of Floating-Gate Transistors For Nonvolatile Analog Memory Array, Haifa Abulaiha
Graduate Theses, Dissertations, and Problem Reports (ETD)
Since they were introduced, floating-gate (FG) transistors have been used as non-volatile digital memory. Recent research has shown that floating-gate transistors can be successfully used as analog memory, specifically as programmable voltage and current sources. However, their proliferation has been limited due to the complex programming procedure and the complex testing equipment. Analog applications such as field-programmable analog arrays (FPAAs) require hundreds to thousands of floating-gate transistors on a single chip which makes the programming process even more complicated and very challenging. Therefore, a simplified, compact, and low-power scheme to program FGs are necessary. This work presents an improved version …
Rail-To-Rail Operational In Low-Power Reconfigurable Analog Circuitry,
2020
West Virginia University
Rail-To-Rail Operational In Low-Power Reconfigurable Analog Circuitry, Jared Dale Baker
Graduate Theses, Dissertations, and Problem Reports (ETD)
Analog signal processing (ASP) can be used to decrease energy consumption by several orders of magnitude over completely digital applications. Low-power field programmable analog arrays (FPAA) have been previously used by analog designers to decrease energy consumption. Combining ASP with an FPAA, energy consumption of these systems can be further reduced. For ASP to be most functional, it must achieve rail-to-rail operation to maintain a high dynamic range. This work strives to further reduce power consumption in reconfigurable analog circuitry by presenting a novel data converter that utilizes ASP and rail-to-rail operation. Rail-to-Rail operation is achieved in the data converter …
Rapid Prototyping Of Nanostructures With Electron Beam Induced Processing,
2020
University of Kentucky
Rapid Prototyping Of Nanostructures With Electron Beam Induced Processing, Samaneh Esfandiarpour
Theses and Dissertations--Electrical and Computer Engineering
Focused electron beam induced processing (FEBIP) is a nano-scale fabrication technique that allows the direct deposition of functional materials. However, it suffers from significant drawbacks, such as high cost, low speed, unavailable precursors for many materials and low purity of deposits. Liquid-phase focused electron beam induced processes (LP-FEBIP) are being investigated due to the potential benefits over the gas phase technique. In this method, deposition or etching occurs at the interface between a substrate and a bulk liquid. In this work, electron beam induced deposition of copper nanostructures from aqueous solutions of copper sulfate is demonstrated. The addition of sulfuric …
End-To-End Prediction Of Weld Penetration In Real Time Based On Deep Learning,
2020
University of Kentucky
End-To-End Prediction Of Weld Penetration In Real Time Based On Deep Learning, Wenhua Jiao
Theses and Dissertations--Electrical and Computer Engineering
Welding is an important joining technique that has been automated/robotized. In automated/robotic welding applications, however, the parameters are preset and are not adaptively adjusted to overcome unpredicted disturbances, which cause these applications to not be able to meet the standards from welding/manufacturing industry in terms of quality, efficiency, and individuality. Combining information sensing and processing with traditional welding techniques is a significant step toward revolutionizing the welding industry. In practical welding, the weld penetration as measured by the back-side bead width is a critical factor when determining the integrity of the weld produced. However, the back-side bead width is difficult …
Resource Efficient Design Of Quantum Circuits For Cryptanalysis And Scientific Computing Applications,
2020
University of Kentucky
Resource Efficient Design Of Quantum Circuits For Cryptanalysis And Scientific Computing Applications, Edgard Munoz-Coreas
Theses and Dissertations--Electrical and Computer Engineering
Quantum computers offer the potential to extend our abilities to tackle computational problems in fields such as number theory, encryption, search and scientific computation. Up to a superpolynomial speedup has been reported for quantum algorithms in these areas. Motivated by the promise of faster computations, the development of quantum machines has caught the attention of both academics and industry researchers. Quantum machines are now at sizes where implementations of quantum algorithms or their components are now becoming possible. In order to implement quantum algorithms on quantum machines, resource efficient circuits and functional blocks must be designed. In this work, we …
การพัฒนาอุปกรณ์เฝ้าสังเกตหม้อแปลงไฟฟ้าระบบจำหน่ายตามมาตรฐาน Iec 61850 ผ่านเครือข่าย Nb-Iot,
2020
คณะวิศวกรรมศาสตร์
การพัฒนาอุปกรณ์เฝ้าสังเกตหม้อแปลงไฟฟ้าระบบจำหน่ายตามมาตรฐาน Iec 61850 ผ่านเครือข่าย Nb-Iot, อนุกูล ต้องสู้
Chulalongkorn University Theses and Dissertations (Chula ETD)
วิทยานิพนธ์ฉบับนี้นำเสนอการพัฒนาอุปกรณ์เฝ้าสังเกตหม้อแปลงไฟฟ้าระบบจำหน่ายและการส่งข้อมูลการเฝ้าสังเกตหม้อแปลงไฟฟ้าระบบจำหน่ายตามมาตรฐาน IEC61850 ซึ่งมีค่าใช้จ่ายในการรับส่งข้อมูลสูง ผ่านเครือข่าย NB-IoT ที่มีแถบความกว้างข้อมูลต่ำ เพื่อตรวจสอบสภาวะการทำงานของหม้อแปลงไฟฟ้าระบบจำหน่ายของการไฟฟ้าส่วนภูมิภาค (กฟภ.) ซึ่งมาตรฐาน IEC61850 นิยมใช้งานอย่างแพร่หลายในสถานีไฟฟ้า เพื่อพัฒนาให้เป็นระบบสถานีไฟฟ้าอัตโนมัติ (Substation Automation System ; SAS) โดยมีจุดเด่นในการทำงานร่วมกันได้ของ Multi-vender และการสื่อสารด้วยความเร็วสูงระหว่างอุปกรณ์อิเล็กทรอนิกส์อัจฉริยะ (Intelligent Electronic Device ; IED) วิทยานิพนธ์นี้จึงได้ประยุกต์นำเอามาตรฐาน IEC61850 มาใช้กับระดับของระบบจำหน่ายไฟฟ้าที่หม้อแปลงไฟฟ้าระบบจำหน่าย ซึ่งเป็นระดับล่างถัดจากสถานีไฟฟ้า เพื่อเป็นแนวทางให้อุปกรณ์ในโครงข่ายไฟฟ้าสามารถทำงานร่วมกันและแลกเปลี่ยนข้อมูลระหว่างกันได้มากขึ้น สำหรับการพัฒนาชุดข้อมูลที่นำเสนอนั้น ได้ออกแบบการทดสอบการสื่อสารข้อมูลกับซอฟต์แวร์ IED Explorer ที่สามารถตรวจสอบตัวแปรของชุดข้อมูล MMS ที่พัฒนาขึ้นตามมาตรฐาน IEC61850 เพื่อตรวจสอบว่าอุปกรณ์ทั้งสองสามารถทำงานร่วมกันได้และชุดข้อมูลที่พัฒนาขึ้นเป็นไปตามมาตรฐาน IEC61850
