Computer Engineering Commons^™

Wireless Authentication Of Smart Doors Using Rfid, Austin A. Hentrup, Deyi Lu, Peter R. Roldan

Honors Thesis

In an increasingly interconnected world, the traditional metal lock-and-key method of securing homes and businesses is becoming more outdated and inconvenient when compared to modern solutions. Modern systems are smarter, faster, lighter, more secure and more integrated than ever before. Though the costs of Radio Frequency Identification (RFID) are shrinking overall, professional solutions remain prohibitively expensive. The aim of this project is to develop an inexpensive, secure, and internet-enabled RFID door authentication system. This is to transparently investigate the design limitations for these systems and help determine the ultimate feasibility of RFID growing to define the modern door-authentication standard.

A Comparison Of Algorithms And Heuristics For Solving The O 1 I N D 1 Shortest Route Problems, Steven D. Young

Senior Honors Projects, 2010-2019

Shortest-path problems have seen a huge amount of study over the course of the last 50 years. Not surprisingly, this means the original problem of finding the shortest path from some starting location to some destination location has been thoroughly studied. However a large number of slight variations on the original problem still have yet to be thoroughly examined. In this paper we examine one of those variations, namely the problem of determining the optimal route from some source location to some destination location such that at least one location in an intermediate set is included in the route. Three …

Comparative Study Of Dimension Reduction Approaches With Respect To Visualization In 3-Dimensional Space, Pooja Chenna

Master of Science in Computer Science Theses

In the present big data era, there is a need to process large amounts of unlabeled data and find some patterns in the data to use it further. If data has many dimensions, it is very hard to get any insight of it. It is possible to convert high-dimensional data to low-dimensional data using different techniques, this dimension reduction is important and makes tasks such as classification, visualization, communication and storage much easier. The loss of information should be less while mapping data from high-dimensional space to low-dimensional space. Dimension reduction has been a significant problem in many fields as …

Source Separation Approach To Video Quality Prediction In Computer Networks, Ruairí De Fréin

Articles

Time-varying loads introduce errors in the estimated model parameters of service-level predictors in Computer Networks. A load-adjusted modification of a traditional unadjusted service-level predictor is contributed, based on Source Separation (SS). It mitigates these errors and improves service-quality predictions for Video-on-Demand (VoD) by :6 to 2dB.

Improving The Security Of Wireless Sensor Networks, Mauricio Tellez Nava

Masters Theses, 2010-2019

With the rapid technological advancements of sensors, Wireless Sensor Networks (WSNs) have become the main technology for the Internet of Things (IoT). We investigated the security of WSNs in an environmental monitoring system with the goal to improve the overall security. We implemented a Secure Temperature Monitoring System (STMS), which served as our investigational environment. Our results revealed a security flaw found in the bootstrap loader (BSL) password used to protect firmware in the MSP430 MCU chips. We demonstrated how the BSL password could be brute forced in a matter of days. Furthermore, we illustrate how an attacker can reverse …

Eliminating Data Redundancy: Our Solution For Database Discovery Using Alma/Primo, Jacob Kindle, Travis Clamon

ETSU Faculty Works

East Tennessee State University recently adopted Alma & Primo and was suprised by the lack of an A-Z database discovery module. Frustrated by having to maintain electronic resources separately on our library website and in Alma, we embarked on a goal to eliminate redundancy and use Alma/Primo exclusively. This presentation will cover our entire workflow in both Alma & Primo and the issues we encountered along the way. I'll first go over our process in Alma including MARC record creation, electronic collection setup, and the top level collection module. Next, I'll cover our workflow in Primo including normalization rules, scoping, …

Dynamic 3d Zverse Models On The Web, Alexa Ann Breeland, Ming Wong

Senior Theses

ZVerse is a 3D printing company that is responsible for converting 2D objects into 3D objects. This company specializes in generating 3D collegiate products. Whenever a customer orders a 3D model, such as an alumni brick, it is often helpful to allow customers to see what the object looks like before the purchase. Unfortunately, previewing the brick at runtime is quite a challenging task. The purpose of our project is to create a shopping website that models the existing ZVerse company website and incorporates dynamic 3D rendering of the brick model with the user­input text. The project can be divided …

Factors Affecting Big Data Technology Adoption, Nayem Rahman

Student Research Symposium

With the advancement of computer science, hardware and software engineering, and computing power, and later with the advent of the internet, social networking tools and other sources such as sensors data growth has increased significantly. These data are called big data which are mostly unstructured, generated in large volumes, data need to be captured in near real-time. To handle big data a completely new set of tools and technologies are being emerged. I have studied big data literature to identify the factors that might influence big data adoption. I was able to list quite a few factors or attributes that …

Uav As A Service: Providing On-Demand Access And On-The-Fly Retasking Of Multi-Tenant Uavs Using Cloud Services, Justin Yapp

Doctoral Dissertations and Master's Theses

As commercial roles for Unmanned Aerial Vehicles (UAVs) become more well-defined and demand for the services provided by them increases, UAVs rely more on new cloud computing services and co-operative coordination to provide mission planning, control, tracking and data processing. We present UAV as a Service (UAVaaS) framework, which brings features commonly found in traditional cloud services, such as Infrastructure, Platform, and Software as a Service, to the domain of UAVs. Our work aims to conceptualize and design UAVaaS for commercial applications. Specifically, a cloud-provided orchestration framework that allows multi-tenant UAVs to easily serve multiple heterogenous clients at once and …

Augmented Reality In The Classroom, Patrick Jb Foster, Sean Cunniff

Honors Thesis

Low vision can have an exceptionally negative impact on a student’s ability to learn, especially when subjected to the conventional education system. In this environment, students are expected to adhere to a lecture that delivers most information visually via a whiteboard or a projector screen. The goal of this project is to create a customizable application for a smartphone that implements selective processing in order to make it easier for visually impaired students to engage with and learn from lectures.

Specifically, this application is written in the Java language for the Android platform. The application uses OpenGL ES, a C-like …

A Cyber-Physical System, Andrew Davis, Dustin Bowe, Josiah Nagel

Montview Journal of Research & Scholarship

The team was tasked with the creation of an autonomous cyber-physical system that could be continually developed as a post-capstone class by future STEM students and as a means to teach future engineering students. The strict definition of a cyber-physical system is a computation machine that networks with an embedded computer that performs a physical function. The autonomous aspect was achieved through two sonic sensors to monitor object distances in order to avoid walls and obstacles. The integrated system was based on the Intel Edison computation module. A primary goal for future addition is automation capabilities and machine learning applications.

Bluetooth Low Energy Platform With Simblee, Calvin W. Freeman

Computer Science and Computer Engineering Undergraduate Honors Theses

Bluetooth Low Energy provides a platform for many developers to implement low power communication for a wide range of applications. The Internet of Things (IoT) is an emerging concept that is gaining traction in the world of embedded systems. Bluetooth Low Energy is one of the latest enablers of this movement and the Simblee module improves BLE accessibility. This thesis provides an evaluation of the average power consumption the Simblee uses in different use cases. By leveraging one of the Simblee’s most notable features, the Ultra Low Power mode, very low power consumption can be achieved, potentially increasing battery life …

Histogram Of Oriented Phase (Hop): A New Descriptor Based On Phase Congruency, Hussin Ragb, Vijayan K. Asari

Electrical and Computer Engineering Faculty Publications

In this paper we present a low level image descriptor called Histogram of Oriented Phase based on phase congruency concept and the Principal Component Analysis (PCA). Since the phase of the signal conveys more information regarding signal structure than the magnitude, the proposed descriptor can precisely identify and localize image features over the gradient based techniques, especially in the regions affected by illumination changes. The proposed features can be formed by extracting the phase congruency information for each pixel in the image with respect to its neighborhood. Histograms of the phase congruency values of the local regions in the image …

Development Of A User Interface To Communicate With Virtual Delta Robot Using Modbus Tcp/Ip And C#, Armin Maraghehmoghaddam

Morehead State Theses and Dissertations

A thesis presented to the faculty of the College of Business and Technology at Morehead State University in partial fulfillment of the requirements for the Degree of Master of Science by Armin Maraghehmoghaddam on May 1, 2016.

Inferring Intrinsic Beliefs Of Digital Images Using A Deep Autoencoder, Seok H. Lee

Computer Science and Computer Engineering Undergraduate Honors Theses

Training a system of artificial neural networks on digital images is a big challenge. Often times digital images contain a large amount of information and values for artificial neural networks to understand. In this work, the inference model is proposed in order to absolve this problem. The inference model is composed of a parameterized autoencoder that endures the loss of information caused by the rescaling of images and transition model that predicts the effect of an action on the observation. To test the inference model, the images of a moving robotic arm were given as the data set. The inference …

Campusbookshare, Aditya Varkhedi

Computer Science and Software Engineering

Every few months, students in the US and abroad face the expensive and time consuming task of buying textbooks for the classes they are enrolled in. Despite the advent of the internet and social networking websites the ability for peer to peer textbook exchange is still limited. There are few if any dedicated websites for general purpose peer to peer textbook transfer for every university and college.

The project I have created for my Senior Project is a peer to peer solution for buying and selling textbooks on US college campuses. The underlying idea is to create an authentication system …

Deontological Ethical System For Google's Self-Driving Car, Edgard Alejandro Arroliga Jr.

Computer Science and Software Engineering

Google's Self-Driving Car is a revolutionary product that is riddled with ethical conundrums. It is able to accurately scan and drive through densely populated roads without much difficulty. However, there are some situations where the car will likely have to make decisions that affect, maybe even take, the lives of those on the road. Issues such as the Trolley Problem and the Rear-End Dilemma describe situations where there seems to be no single ethical answer as to how the car should act. In order to solve these issues, I propose that a Deontological Ethical System should be implemented because it …

Synergistic Timing Speculation For Multi-Threaded Programs, Atif Yasin

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Timing speculation is a promising approach to increase the processor performance and energy efficiency. Under timing speculation, an integrated circuit is allowed to operate at a speed faster than the rated speed specified by its vendor. However, doing so might result in an incorrect execution. Consequently, as long as the processor is equipped with an error detection and recovery mechanism, its performance can be increased and/or energy consumption reduced beyond that achievable by any other conventional operation.

While many past works have dealt with timing speculation within a single core, in this work, a new direction is being uncovered by …

Advances In Repurposing And Recycling Of Post-Vehicle-Application Lithium-Ion Batteries, Charles R. Standridge, Lindsay Corneal, Nicholas Baine

Mineta Transportation Institute

Increased electrification of vehicles has increased the use of lithium-ion batteries for energy storage, and raised the issue of what to do with post-vehicle-application batteries. Three possibilities have been identified: 1) remanufacturing for intended reuse in vehicles; 2) repurposing for non-vehicle, stationary storage applications; and 3) recycling, extracting the precious metals, chemicals and other byproducts. Advances in repurposing and recycling are presented, along with a mathematical model that forecasts the manufacturing capacity needed for remanufacturing, repurposing, and recycling. Results obtained by simulating the model show that up to a 25% reduction in the need for new batteries can be achieved …

Joint Resource Provisioning In Optical Cloud Networks, Pan Yi

School of Computing: Dissertations, Theses, and Student Research

Resource allocation is an evolving part of many Cloud computing and data center management problems. For infrastructure as a service (IaaS) in the Cloud, the Cloud service provider allocates virtual machines (VMs) to the customers with required CPU, memory and disk configurations. In addition to the computing infrastructures, the bandwidth resources would also be allocated to customers for data transmission between reserved VMs. In the near future, users may also want to reserve multiple virtual data centers (VDCs) to construct their own virtual Cloud, which could be called data center as a service (DCaaS). For these two types of services, …

Towards Building An Intelligent Integrated Multi-Mode Time Diary Survey Framework, Hariharan Arunachalam

School of Computing: Dissertations, Theses, and Student Research

Enabling true responses is an important characteristic in surveys; where the responses are free from bias and satisficing. In this thesis, we examine the current state of surveys, briefly touching upon questionnaire surveys, and then on time diary surveys (TDS). TDS are open-ended conversational surveys of a free-form nature with both, the interviewer and the respondent, playing a part in its progress and successful completion. With limited research available on how intelligent and assistive components can affect TDS respondents, we explore ways in which intelligent systems such as Computer Adaptive Testing, Intelligent Tutoring Systems, Recommender Systems, and Decision Support Systems …

Prevention Of Drone Jamming Using Hardware Sandboxing, Joshua Mead

Graduate Theses and Dissertations

In this thesis, we concern ourselves with the security of drone systems under jamming-based attacks. We explore a relatively new concept we previously devised, known as hardware sandboxing, to provide runtime monitoring of boundary signals and isolation through resource virtualization for non-trusted system-on-chip (SoC) components. The focus of this thesis is the synthesis of this design and structure with the anti-jamming, security needs of drone systems. We utilize Field Programmable Gate Array (FPGA) based development and target embedded Linux for our hardware sandbox and drone hardware/software system.

We design and implement our working concept on the Digilent Zybo FPGA, which …

Influence Of Personality On Emotional Contagion Through Social Media, Theodore T. Jensen

Honors Scholar Theses

The rapid growth of computers and computing technologies in the recent past has led to dramatic changes in modern social interactions. Connectivity through the internet and social networking sites is a massive part of people's lives, with younger generations learning to interact more and more through these means. It is necessary to recognize the emotional influence of these forms of communication- their influence on mental health will grow as they become a larger part of the social fabric. Facebook and other social media have been shown to be a form of emotional contagion; emotional states can be transferred from one …

The Eagle Programming Language, Samuel G. Horlbeck Olsen

Mathematics, Statistics, and Computer Science Honors Projects

C remains the dominant systems programming language despite many new languages attempting to take its place. Modern languages generally value abstraction and safety over speed and direct control of hardware. They are therefore not well suited to the low-level tasks for which C was designed. This paper introduces a novel programming language, Eagle, which represents a fast, elegant alternative to C. It allows low-level programming while providing optional modern features like reference counting, closures, generators, and classes. In addition to specifying this language and reviewing the current alternatives, the paper describes the implementation of a working Eagle compiler. The language …

Efficient Algorithms For Clustering Polygonal Obstacles, Sabbir Kumar Manandhar

UNLV Theses, Dissertations, Professional Papers, and Capstones

Clustering a set of points in Euclidean space is a well-known problem having applications in pattern recognition, document image analysis, big-data analytics, and robotics. While there are a lot of research publications for clustering point objects, only a few articles have been reported for clustering a given distribution of obstacles. In this thesis we examine the development of efficient algorithms for clustering a given set of convex obstacles in the 2D plane. One of the methods presented in this work uses a Voronoi diagram to extract obstacle clusters. We also consider the implementation issues of point/obstacle clustering algorithms.

An Arithmetic-Based Deterministic Centroid Initialization Method For The K-Means Clustering Algorithm, Matthew Michael Mayo

Theses and Dissertations

One of the greatest challenges in k-means clustering is positioning the initial cluster centers, or centroids, as close to optimal as possible, and doing so in an amount of time deemed reasonable. Traditional fc-means utilizes a randomization process for initializing these centroids, and poor initialization can lead to increased numbers of required clustering iterations to reach convergence, and a greater overall runtime. This research proposes a simple, arithmetic-based deterministic centroid initialization method which is much faster than randomized initialization. Preliminary experiments suggest that this collection of methods, referred to herein as the sharding centroid initialization algorithm family, often outperforms random …

An Exploration Of Rule Clustering In Cellular Automata Rule Spaces, Jordon Huffman

Theses and Dissertations

The study of complex systems examines the global behavior of a system and how the individual parts of the system affect that behavior [1]. The study of complex systems spans across many fields of science like biology, physics, engineering, and computer science. One area of complex systems that has not been fully explored is cellular automata. Since its discovery by John von Neumann, there have been no consistent ways of categorizing similarities between cellular automata rules or collecting similar rules for observation. This thesis introduces an approach to identifying clusters of similar rules and extracting rules from that cluster. Several …

Achieving A Better Balance Between Productivity And Performance On Fpgas Through Heterogeneous Extensible Multiprocessor Systems, Abazar Sadeghian

Graduate Theses and Dissertations

Field Programmable Gate Arrays (FPGAs) were first introduced circa 1980, and they held the promise of delivering performance levels associated with customized circuits, but with productivity levels more closely associated with software development. Achieving both performance and productivity objectives has been a long standing challenge problem for the reconfigurable computing community and remains unsolved today. On one hand, Vendor supplied design flows have tended towards achieving the high levels of performance through gate level customization, but at the cost of very low productivity. On the other hand, FPGA densities are following Moore's law and and can now support complete multiprocessor …

A Backend Framework For The Efficient Management Of Power System Measurements, Benjamin Mccamish, Rich Meier, Jordan Landford, Robert B. Bass, David Chiu, Eduardo Cotilla-Sanchez

Electrical and Computer Engineering Faculty Publications and Presentations

Increased adoption and deployment of phasor measurement units (PMU) has provided valuable fine-grained data over the grid. Analysis over these data can provide insight into the health of the grid, thereby improving control over operations. Realizing this data-driven control, however, requires validating, processing and storing massive amounts of PMU data. This paper describes a PMU data management system that supports input from multiple PMU data streams, features an event-detection algorithm, and provides an efficient method for retrieving archival data. The event-detection algorithm rapidly correlates multiple PMU data streams, providing details on events occurring within the power system. The event-detection algorithm …

Design Of A Wide Area Controller Using Eigenstructure Assignment In Power Systems, Parimal Saraf

All Dissertations

Small signal stability has become a major concern for power system operators around the world. This has resulted from constantly evolving changes in the power system ranging from increased number of interconnections to ever increasing demand of power. In highly stressed operating conditions, even a small disturbance such as a load change can make the system unstable resulting in small signal instability. The main reason for small signal instability in power systems is an inter-area mode/s becoming unstable. Inter-area modes involve a group of generators oscillating against each other. Traditionally, power system stabilizers installed on the synchrous machines were used …