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Nurbs-Based Microstructure Design For Organic Photovoltaics, Ramin Noruzi, Sambit Ghadai, Onur Rauf Bingol, Adarsh Krishnamurthy, Baskar Ganapathysubramanian 2020 Iowa State University

Nurbs-Based Microstructure Design For Organic Photovoltaics, Ramin Noruzi, Sambit Ghadai, Onur Rauf Bingol, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

Mechanical Engineering Publications

The microstructure – spatial distribution of electron donor and acceptor domains – plays an important role in determining the photo current in thin film organic solar cells (OSCs). Optimizing the microstructure can lead to higher photo current generation, and is an active area of experimental research. There has been recent progress in framing OSC microstructure design as a computational design problem. However, most current approaches to microstructure optimization are based on volumetric distribution of material, which makes the design space very large. In contrast, we frame the microstructure design optimization problem in terms of designing the interface between the donor and acceptor ...


Load Flow Analysis Of 138/69kv Substation Using Electrical Transient & Analysis Program (Etap), Vanessa Abadia Gomez 2019 University of Arkansas, Fayetteville

Load Flow Analysis Of 138/69kv Substation Using Electrical Transient & Analysis Program (Etap), Vanessa Abadia Gomez

Electrical Engineering Undergraduate Honors Theses

This paper examines the load flow analysis of a high-voltage substation using ETAP, and explores options for improving the voltage profile of the system. This study yields critical information about the system, such as the voltage drop at each feeder, the voltage at each bus, as well as real and reactive power losses at the different branches and feeders. In this power flow examination, the system’s performance is evaluated for different operating conditions, so that control measurements can be applied if necessary. The experimental results are used for proposing a plan of using fixed and switched shunt capacitor banks ...


Energy Management Of Dynamic Wireless Power Transfer Systems For Electric Vehicle Applications, Ahmed N. Azad 2019 Utah State University

Energy Management Of Dynamic Wireless Power Transfer Systems For Electric Vehicle Applications, Ahmed N. Azad

All Graduate Theses and Dissertations

Wireless power transfer is a method of transferring electric power from a transmitter to a receiver without requiring any physical connection between the two. Dynamic Wireless Power Transfer (DWPT) entails having the transmitters buried under the roadway and the receiver unit being installed on the Electric Vehicle (EV). In this method, EVs are charged while driving over the transmitters as they receive bursts of electric energy at the time of significant alignment between transmitters and receivers. Compared to the stationary charging method which involves parking the EV for long hours for a full charge, the dynamic charging method (i.e ...


Built-In Return-Oriented Programs In Embedded Systems And Deep Learning For Hardware Trojan Detection, Nathanael R. Weidler 2019 Utah State University

Built-In Return-Oriented Programs In Embedded Systems And Deep Learning For Hardware Trojan Detection, Nathanael R. Weidler

All Graduate Theses and Dissertations

Microcontrollers and integrated circuits in general have become ubiquitous in the world today. All aspects of our lives depend on them from driving to work, to calling our friends, to checking our bank account balance. People who would do harm to individuals, corporations and nation states are aware of this and for that reason they seek to find or create and exploit vulnerabilities in integrated circuits. This dissertation contains three papers dealing with these types of vulnerabilities. The first paper talks about a vulnerability that was found on a microcontroller, which is a type of integrated circuit. The final two ...


Gpu-Accelerated Demodulation For A Satellite Ground Station, Emily Clark Young 2019 Utah State University

Gpu-Accelerated Demodulation For A Satellite Ground Station, Emily Clark Young

All Graduate Theses and Dissertations

One consequence of the increasing number of small satellite missions is an increasing demand for high data rate downlinks. As the satellites transmit at high data rates, ground-side receivers need to demodulate the transmitted data as quickly as possible. While application specific hardware can be designed, software defined radio solutions for ground stations are attractive for their flexibility, adaptability, and portability.

Another industry trend is the increasing use of Graphics Processing Units (GPUs) in general-purpose processing. By performing many operations simultaneously, GPUs are capable of accelerating processing when given a problem that can be implemented in a parallel manner. Furthermore ...


Enhancing Cpr Training: Development And Assessment Of An Affordable, Open-Source Real-Time Feedback Manikin, Anish Sangari, Nitish Sood, Joseph Andrew Hauger 2019 Augusta University

Enhancing Cpr Training: Development And Assessment Of An Affordable, Open-Source Real-Time Feedback Manikin, Anish Sangari, Nitish Sood, Joseph Andrew Hauger

Georgia Undergraduate Research Conference (GURC)

Cardiopulmonary Resuscitation (CPR) is a life-saving technique used in cases of cardiac arrest. Immediate CPR can increase survival rates two to three-fold. While many CPR training courses use non-electronic CPR manikins, recent literature has shown that training on a real-time feedback CPR manikin improves functional outcomes such as chest compression rate and mean tidal volume. However, current commercially available real-time feedback manikins only measure metrics on chest compressions or can be prohibitively expensive ( >$200). Accordingly, we have designed, constructed, and tested a low-cost Arduino microcontroller-based CPR manikin that provides real-time feedback to trainees on eight critical metrics including force of ...


Optimizing Generative Adversarial Network Architecture For Low-Resolution Image Enhancement, Maria Isabel Gonzalez Bocanegra, Justin Matthew Hall 2019 Georgia Southern University

Optimizing Generative Adversarial Network Architecture For Low-Resolution Image Enhancement, Maria Isabel Gonzalez Bocanegra, Justin Matthew Hall

Georgia Undergraduate Research Conference (GURC)

The research focuses on applying Generative Adversarial Networks (GANs) [1] to enhance the clarity of low-resolution images. This research was inspired by a recognized limitation of the capabilities of the current camera and video systems. Systems with higher image resolution require expensively complex equipment and an excessive amount of digital storage to function, effectively limiting their practicality and availability. The capability of GANs to selectively enhance the resolution of the desired image without increasing costs impacts a substantial range of industries and practices. Our research focuses on applying GANs to objects with shared static characteristics such as license plates. Based ...


Deep Learning Image Classification For Disaster Relief, James Gaither, Rami Haddad Ph.D. 2019 Georgia Southern University

Deep Learning Image Classification For Disaster Relief, James Gaither, Rami Haddad Ph.D.

Georgia Undergraduate Research Conference (GURC)

Deep Learning Image Classification for Disaster Relief

Author: James K. Gaither, jg07596@georgiasouthern.edu Faculty Mentor: Rami J. Haddad, rhaddad@georgiasouthern.edu

Presentation Type: Poster

Field of Study: Electrical and Computer Engineering

Abstract:

The aftermath of natural disasters leaves communities across the nation devastated for years after they occur. When communication systems go down, natural disasters become much more dangerous. Those who live in rural areas have an increased risk of supplies shortage because there are less stores with vital supplies (such as food and water). Furthermore, roads to stores with these supplies may be inaccessible. Utilizing recent advancements in ...


Numerically Stable Coded Matrix Computations Via Circulant And Rotation Matrix Embeddings, Aditya Ramamoorthy, Li Tang 2019 Iowa State University

Numerically Stable Coded Matrix Computations Via Circulant And Rotation Matrix Embeddings, Aditya Ramamoorthy, Li Tang

Aditya Ramamoorthy

Several recent works have used coding-theoretic ideas for mitigating the effect of stragglers in distributed matrix computations (matrix-vector and matrix-matrix multiplication) over the reals. In particular, a polynomial code based approach distributes matrix-matrix multiplication among n worker nodes by means of polynomial evaluations. This allows for an ``optimal'' recovery threshold whereby the intended result can be decoded as long as at least (n−s) worker nodes complete their tasks; s is the number of stragglers that the scheme can handle. However, a major issue with these approaches is the high condition number of the corresponding Vandermonde-structured recovery matrices. This presents ...


Learning Streams: A Case Study In Curriculum Integration, Mani Mina, Arun K. Somani, Akhilesh Tyagi, Diane T. Rover, Matthew Feldmann, Mack C. Shelley 2019 Iowa State University

Learning Streams: A Case Study In Curriculum Integration, Mani Mina, Arun K. Somani, Akhilesh Tyagi, Diane T. Rover, Matthew Feldmann, Mack C. Shelley

Mani Mina

During 2004-2005, the Departments of Electrical and Computer Engineering and Mechanical Engineering at Iowa State University in collaboration with educational colleagues in the Research Institute for Studies in Education piloted a new curricula model to improve student learning through vertical integration of educational activities using new program structures. We offered an experimental course sequence during Fall 2004 and Spring 2005, defined as a “learning stream.” A learning stream is a basic element of a novel program structure designed specifically to vertically integrate subject matter across courses. A learning stream merges and re-organizes material to more effectively present and reinforce key ...


Learning Streams: A Case Study In Curriculum Integration, Mani Mina, Arun K. Somani, Akhilesh Tyagi, Diane T. Rover, Matthew Feldmann, Mack C. Shelley 2019 Iowa State University

Learning Streams: A Case Study In Curriculum Integration, Mani Mina, Arun K. Somani, Akhilesh Tyagi, Diane T. Rover, Matthew Feldmann, Mack C. Shelley

Diane Rover

During 2004-2005, the Departments of Electrical and Computer Engineering and Mechanical Engineering at Iowa State University in collaboration with educational colleagues in the Research Institute for Studies in Education piloted a new curricula model to improve student learning through vertical integration of educational activities using new program structures. We offered an experimental course sequence during Fall 2004 and Spring 2005, defined as a “learning stream.” A learning stream is a basic element of a novel program structure designed specifically to vertically integrate subject matter across courses. A learning stream merges and re-organizes material to more effectively present and reinforce key ...


Work In Progress - Preparation Creating Effective Faculty Of Engineering: A Technological Literacy Approach, Mani Mina, Diane T. Rover, Mack C. Shelley 2019 Iowa State University

Work In Progress - Preparation Creating Effective Faculty Of Engineering: A Technological Literacy Approach, Mani Mina, Diane T. Rover, Mack C. Shelley

Diane Rover

This paper reviews the framework and provides new result for the implementation of a new program designed to develop more effective future faculty in engineering. The core of the proposed program will be based on our efforts regarding the recently developed Minor in Engineering Studies (MES). This program will team up effective engineering faculty to train, mentor, and evaluate a select group of graduate students to teach classes in our MES program. The goal is to help the engineering graduate students (the graduate educators) become better communicator and better educators by training non-engineering students in technological literacy classes. This practice ...


A Novel Interdisciplinary Course In Gerontechnology For Disseminating Computational Thinking, Hen-I Yang, Peter Martin, Debra Satterfield, Ryan Babbitt, Johnny S. Wong, Mack C. Shelley, Carl K. Chang 2019 Iowa State University

A Novel Interdisciplinary Course In Gerontechnology For Disseminating Computational Thinking, Hen-I Yang, Peter Martin, Debra Satterfield, Ryan Babbitt, Johnny S. Wong, Mack C. Shelley, Carl K. Chang

Peter Martin

While specialized knowledge and skills are the hallmark of modern society, the size and complexity of contemporary problems often require cooperative effort to analyze and solve. Therefore, experiences with skills, methodologies, and tools for effective interdisciplinary collaboration and structured problem solving are vital for preparing students for future academic and professional success. Meanwhile, computational systems have permeated much of modern professional and personal life, making computational thinking an essential skill for members of modern society. However, formal training in these techniques is primarily limited to students within computer science, mathematics, management of information systems, and engineering. At Iowa State University ...


Influence Of Flow Rate, Nozzle Speed, Pitch And The Number Of Passes On The Thickness Of S1805 Photoresist In Suss Microtec As8 Spray Coater, Rohan Sanghvi, Gyuseok Kim 2019 Singh Center for Nanotechnology

Influence Of Flow Rate, Nozzle Speed, Pitch And The Number Of Passes On The Thickness Of S1805 Photoresist In Suss Microtec As8 Spray Coater, Rohan Sanghvi, Gyuseok Kim

Tool Data

S1805 positive photoresist has been deposited on single crystalline Si wafers using a Suss MicroTec Alta Spray. The influence of flow rate, nozzle speed, pitch and number of passes on the thickness of the photoresist was studied. Results show that the thickness of S1805 is linearly proportional to the flow rate and number of passes, and inversely proportional to the nozzle speed and pitch.


Nurbs-Based Microstructure Design For Organic Photovoltaics, Ramin Noruzi, Sambit Ghadai, Onur Rauf Bingol, Adarsh Krishnamurthy, Baskar Ganapathysubramanian 2019 Iowa State University

Nurbs-Based Microstructure Design For Organic Photovoltaics, Ramin Noruzi, Sambit Ghadai, Onur Rauf Bingol, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

Baskar Ganapathysubramanian

The microstructure – spatial distribution of electron donor and acceptor domains – plays an important role in determining the photo current in thin film organic solar cells (OSCs). Optimizing the microstructure can lead to higher photo current generation, and is an active area of experimental research. There has been recent progress in framing OSC microstructure design as a computational design problem. However, most current approaches to microstructure optimization are based on volumetric distribution of material, which makes the design space very large. In contrast, we frame the microstructure design optimization problem in terms of designing the interface between the donor and acceptor ...


Interpretable Deep Learning For Guided Microstructure-Property Explorations In Photovoltaics, Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate, Soumik Sarkar, Baskar Ganapathysubramanian 2019 Iowa State University

Interpretable Deep Learning For Guided Microstructure-Property Explorations In Photovoltaics, Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate, Soumik Sarkar, Baskar Ganapathysubramanian

Baskar Ganapathysubramanian

The microstructure determines the photovoltaic performance of a thin film organic semiconductor film. The relationship between microstructure and performance is usually highly non-linear and expensive to evaluate, thus making microstructure optimization challenging. Here, we show a data-driven approach for mapping the microstructure to photovoltaic performance using deep convolutional neural networks. We characterize this approach in terms of two critical metrics, its generalizability (has it learnt a reasonable map?), and its intepretability (can it produce meaningful microstructure characteristics that influence its prediction?). A surrogate model that exhibits these two features of generalizability and intepretability is particularly useful for subsequent design exploration ...


A Multi-Stage Optimization Model For Flexibility In Engineering Design, Ramin Giahi, Cameron A. MacKenzie, Chao Hu 2019 Iowa State University

A Multi-Stage Optimization Model For Flexibility In Engineering Design, Ramin Giahi, Cameron A. Mackenzie, Chao Hu

Cameron A. MacKenzie

Engineered systems often operate in uncertain environments. Understanding different environments under which a system will operate is important in engineering design. Thus, there is a need to design systems with the capability to respond to future changes. This research explores designing a hybrid renewable energy system while taking into account long-range uncertainties of 20 years. The objective is to minimize the expected cost of the hybrid renewable energy system over the next 20 years. A design solution may be flexible, which means that the design can be adapted or modified to meet different scenarios in the future. The value of ...


Analog Implementation Of The Hodgkin-Huxley Model Neuron, Zachary D. Mobille, George H. Rutherford, Jordan Brandt-Trainer, Rosangela Follmann, Epaminondas Rosa 2019 Illinois State University

Analog Implementation Of The Hodgkin-Huxley Model Neuron, Zachary D. Mobille, George H. Rutherford, Jordan Brandt-Trainer, Rosangela Follmann, Epaminondas Rosa

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


Correction Of Pattern Size Deviations In The Fabrication Of Photomasks Made With A Laser Direct-Writer, Ningzhi Xie, George Patrick Watson 2019 Singh Center for Nanotechnology

Correction Of Pattern Size Deviations In The Fabrication Of Photomasks Made With A Laser Direct-Writer, Ningzhi Xie, George Patrick Watson

Protocols and Reports

When using Heidelberg DWL66+ laser writer to fabricate the photomask, the pattern feature dimensions may have deviations. These deviations can be caused by the lithography process and the undercut in the metal etch process. The same deviation value of 0.8µm was found to appear in all the patterns independent of the pattern original size and local pattern density. To overcome this universal deviation, a universal bias is suggested to be applied to the original patterns during the data preparation for the lithography process. In order to ensure this pre-exposure bias method can work, both the laser direct-write exposure conditions ...


Interpretable Deep Learning For Guided Microstructure-Property Explorations In Photovoltaics, Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate, Soumik Sarkar, Baskar Ganapathysubramanian 2019 Iowa State University

Interpretable Deep Learning For Guided Microstructure-Property Explorations In Photovoltaics, Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate, Soumik Sarkar, Baskar Ganapathysubramanian

Mechanical Engineering Publications

The microstructure determines the photovoltaic performance of a thin film organic semiconductor film. The relationship between microstructure and performance is usually highly non-linear and expensive to evaluate, thus making microstructure optimization challenging. Here, we show a data-driven approach for mapping the microstructure to photovoltaic performance using deep convolutional neural networks. We characterize this approach in terms of two critical metrics, its generalizability (has it learnt a reasonable map?), and its intepretability (can it produce meaningful microstructure characteristics that influence its prediction?). A surrogate model that exhibits these two features of generalizability and intepretability is particularly useful for subsequent design exploration ...


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