Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer and Systems Architecture (20)
- Electrical and Computer Engineering (14)
- Physical Sciences and Mathematics (12)
- Computer Sciences (11)
- Digital Circuits (7)
-
- Electrical and Electronics (7)
- Robotics (7)
- VLSI and Circuits, Embedded and Hardware Systems (7)
- Artificial Intelligence and Robotics (6)
- Digital Communications and Networking (6)
- Other Computer Engineering (6)
- Systems Architecture (5)
- Computational Engineering (4)
- Other Computer Sciences (4)
- Signal Processing (4)
- Biomedical (3)
- Biomedical Engineering and Bioengineering (3)
- Medicine and Health Sciences (3)
- Physics (3)
- Programming Languages and Compilers (3)
- Software Engineering (3)
- Systems and Communications (3)
- Analytical, Diagnostic and Therapeutic Techniques and Equipment (2)
- Biomedical Devices and Instrumentation (2)
- Controls and Control Theory (2)
- Data Storage Systems (2)
- Databases and Information Systems (2)
- Institution
-
- The University of Akron (4)
- University of Texas at Arlington (4)
- Case Western Reserve University (3)
- Michigan Technological University (3)
- University of Kentucky (3)
-
- University of Nebraska - Lincoln (3)
- California Polytechnic State University, San Luis Obispo (2)
- City University of New York (CUNY) (2)
- Dartmouth College (2)
- University of Arkansas, Fayetteville (2)
- University of South Alabama (2)
- Air Force Institute of Technology (1)
- Central Washington University (1)
- Clemson University (1)
- Eastern Washington University (1)
- Embry-Riddle Aeronautical University (1)
- Murray State University (1)
- Northern Illinois University (1)
- Singapore Management University (1)
- University of Nevada, Las Vegas (1)
- University of New Mexico (1)
- Keyword
-
- Machine Learning (3)
- Robot (3)
- Associative Learning (2)
- Autonomous (2)
- Electric vehicle (2)
-
- Neuromorphic Computing (2)
- 3D printing (1)
- Active mixing (1)
- Adaptive Nawaz Enscore Ham (NEH) (1)
- Aggregate Data rate (1)
- Artificial intelligence (1)
- Attack on microcontroller (1)
- Back (1)
- Basketball (1)
- Bioimpedance analysis (1)
- Biomedical engineering (1)
- Brightfield microscopy (1)
- Build your computer (1)
- CAN (1)
- Cancer imaging (1)
- Capstone (1)
- Cardiovascular diagnostics (1)
- Charging station (1)
- ChipWhisperer (1)
- Cloud computing (1)
- Communication (1)
- Composites (1)
- Computer (1)
- Computer Architecture (1)
- Computer Security (1)
- Publication
-
- Williams Honors College, Honors Research Projects (4)
- Dissertations, Master's Theses and Master's Reports (3)
- Faculty Scholarship (3)
- Theses and Dissertations--Electrical and Computer Engineering (3)
- Computer Science and Engineering Theses - Archive (2)
-
- Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023– (2)
- 2024 Fall Honors Capstone Projects - Archive (1)
- 2024 Spring Honors Capstone Projects - Archive (1)
- 2024 Symposium (1)
- All Dissertations (1)
- All Master's Theses (1)
- College of Engineering Summer Undergraduate Research Program (1)
- Dartmouth College Master’s Theses (1)
- Dartmouth College Ph.D Dissertations (1)
- Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research (1)
- Electrical Engineering and Computer Science Undergraduate Honors Theses (1)
- Electrical and Computer Engineering ETDs (1)
- Graduate Theses and Dissertations (1)
- Honors Capstones (1)
- Honors Theses (1)
- Master's Theses (1)
- Open Educational Resources (1)
- Poster Presentations (1)
- Posters-at-the-Capitol (1)
- Publications (1)
- Publications and Research (1)
- Research Collection School Of Computing and Information Systems (1)
- Theses and Dissertations (1)
- Undergraduate Research Symposium Posters (1)
- Publication Type
Articles 31 - 40 of 40
Full-Text Articles in Hardware Systems
Adaptive Neh With Constrained Nearest Neighbor Subtours For The Electric Vehicle Routing Problem With Time Windows, Andrew Struthers
Adaptive Neh With Constrained Nearest Neighbor Subtours For The Electric Vehicle Routing Problem With Time Windows, Andrew Struthers
All Master's Theses
The development of electric vehicles is currently considered one of the most innovative areas in manufacturing. Largely driven by the desire to reduce greenhouse emissions, electric vehicles are seen as a viable alternative to internal combustion engine cars. Starting from consumer cars, a dedicated effort is being made to translate this into commercial vehicles for freight and delivery. This research introduces a novel adaptive Nawaz, Enscore, Ham (NEH) algorithm with constrained nearest neighbor subtour (NEH-NN). This algorithm is tested on the standard benchmark problems in literature and used as a seed solution for the Genetic Algorithm (GA). The performance and …
Reinventing Integrated Photonic Devices And Circuits For High Performance Communication And Computing Applications, Venkata Sai Praneeth Karempudi
Reinventing Integrated Photonic Devices And Circuits For High Performance Communication And Computing Applications, Venkata Sai Praneeth Karempudi
Theses and Dissertations--Electrical and Computer Engineering
The long-standing technological pillars for computing systems evolution, namely Moore's law and Von Neumann architecture, are breaking down under the pressure of meeting the capacity and energy efficiency demands of computing and communication architectures that are designed to process modern data-centric applications related to Artificial Intelligence (AI), Big Data, and Internet-of-Things (IoT). In response, both industry and academia have turned to 'more-than-Moore' technologies for realizing hardware architectures for communication and computing. Fortunately, Silicon Photonics (SiPh) has emerged as one highly promising ‘more-than-Moore’ technology. Recent progress has enabled SiPh-based interconnects to outperform traditional electrical interconnects, offering advantages like high bandwidth density, …
Improved Portable Back Pain Relief Device With User Interface, Zachary Bobango, Samuel J. Dauterman, Benjamin Bowman
Improved Portable Back Pain Relief Device With User Interface, Zachary Bobango, Samuel J. Dauterman, Benjamin Bowman
Williams Honors College, Honors Research Projects
The objective of this project is to design and create a massage system that is user interactive, portable, safe, efficient, and comfortable. The system should allow for user feedback from an outside peripheral such as a phone to be able to modify the system. Some challenges facing the implementation of such a system include: ensuring the product can withstand substantial force without breaking or malfunctioning while simultaneously being light enough for a consumer to carry without difficulty, engineering the massage heads to be able to move in multiple different motion types, creating the software that can control the device, and …
Autonomous Basketball Court Creation Robot, Bryce Haldeman, Tyler Gray, Dalon Vura
Autonomous Basketball Court Creation Robot, Bryce Haldeman, Tyler Gray, Dalon Vura
Williams Honors College, Honors Research Projects
The Autonomous Basketball Court Outlining System presents a comprehensive solution for precision court marking. Powered by a 24V lithium-ion battery and driven by a single ST microcontroller, the system autonomously marks the outline of a half basketball court using predefined algorithms. User-friendly features include easy loading of marking material, actuated by gravity or a small servo motor depending on material of choice, ensuring intuitive operation. Safety is prioritized, with the servo motor eliminating high-pressure concerns, and the system maintains a controlled speed accounting for user well-being. Two step and direction servo motors enable accurate linear displacement, facilitating straight lines, and …
Cross-Layer Design Of Highly Scalable And Energy-Efficient Ai Accelerator Systems Using Photonic Integrated Circuits, Sairam Sri Vatsavai
Cross-Layer Design Of Highly Scalable And Energy-Efficient Ai Accelerator Systems Using Photonic Integrated Circuits, Sairam Sri Vatsavai
Theses and Dissertations--Electrical and Computer Engineering
Artificial Intelligence (AI) has experienced remarkable success in recent years, solving complex computational problems across various domains, including computer vision, natural language processing, and pattern recognition. Much of this success can be attributed to the advancements in deep learning algorithms and models, particularly Artificial Neural Networks (ANNs). In recent times, deep ANNs have achieved unprecedented levels of accuracy, surpassing human capabilities in some cases. However, these deep ANN models come at a significant computational cost, with billions to trillions of parameters. Recent trends indicate that the number of parameters per ANN model will continue to grow exponentially in the foreseeable …
A Novel Processor Architecture Implementing The Stacked Error Diffusion Algorithm And Its Zynq-Based Realization, Qishi Hu
Theses and Dissertations--Electrical and Computer Engineering
Digital halftoning reproduces continuous-tone images using patterns of black and white dots, while multitoning extends this concept by incorporating inks with intermediate intensities. These techniques are extensively utilized in the printing industry to accommodate the limited range of inks available in printers. Stacked error diffusion is a high-quality multitoning algorithm that adheres to the blue-noise dithering standard. This thesis research studies the potential parallelism inherent in the algorithm and introduces the design of a novel processor architecture optimized for efficient execution. The architecture is realized on an FPGA development board featuring a Zynq SoC. Additionally, the hardware prototype can also …
The Integration Of Neuromorphic Computing In Autonomous Robotic Systems, Md Abu Bakr Siddique
The Integration Of Neuromorphic Computing In Autonomous Robotic Systems, Md Abu Bakr Siddique
Dissertations, Master's Theses and Master's Reports
Deep Neural Networks (DNNs) have come a long way in many cognitive tasks by training on large, labeled datasets. However, this method has problems in places with limited data and energy, like when planetary robots are used or when edge computing is used [1]. In contrast to this data-heavy approach, animals demonstrate an innate ability to learn by communicating with their environment and forming associative memories among events and entities, a process known as associative learning [2-4]. For instance, rats in a T-maze learn to associate different stimuli with outcomes through exploration without needing labeled data [5]. This learning paradigm …
Statically Controlled Synchronized Lane Architectures, Scott K. Pomerville
Statically Controlled Synchronized Lane Architectures, Scott K. Pomerville
Dissertations, Master's Theses and Master's Reports
Modern superscalar processors dominate the field of computing. While dynamic execution allows for versatility in code, these processors are complex. Statically scheduled code has historically enabled simpler processor designs, but static scheduling cannot account for variables that are unknown at compile time. Furthermore, static scheduling has many inefficiencies, such as the need to insert a large number of nops for code in traditional Very Long Instruction Word (VLIW) processors. In this dissertation, we explore a novel architectural approach for statically scheduled code by breaking the code into several synchronous instruction streams. By representing code in a fundamentally new way, we …
Implementing Associative Learning Using Neuromorphic Robot, Vinay Kumar Pillalamarri
Implementing Associative Learning Using Neuromorphic Robot, Vinay Kumar Pillalamarri
Dissertations, Master's Theses and Master's Reports
Associative learning, a key cognitive process seen across the animal kingdom, enables organisms to form connections between stimuli and adapt their behaviors based on past experiences. A particularly powerful example is fear conditioning, where animals learn to associate a neutral stimulus with an aversive one, allowing them to predict and avoid potential threats. Inspired by this mechanism, this project implements associative learning on an unmanned ground vehicle (UGV) to develop adaptive behavior through neuromorphic principles. Utilizing Nengo for neural modeling, the UGV learns to associate visual (red color) and tactile (vibration) stimuli through Hebbian learning, a biologically inspired synaptic adaptation …
An Fpga-Based Eit System For Deep Space Medical Imaging, Kendall R. Farnham
An Fpga-Based Eit System For Deep Space Medical Imaging, Kendall R. Farnham
Dartmouth College Ph.D Dissertations
Dangers associated with high radiation and microgravity exposure in space are critical challenges inhibiting us from exploring deep space and pursuing long-duration missions, as current medical systems are unable to monitor, diagnose, or treat tissue injury within physical spacecraft constraints and communication limits. Ultrasound (US) is the current imaging system used on the International Space Station, but this technology relies on telemedical support (or onboard artificial intelligence/autonomous capabilities) for both operation and diagnosis, posing challenges for crews isolated in deep space. Electrical impedance tomography (EIT) is a non-invasive, non-ionizing technology that produces images of the electrical properties of tissues and …