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Articles 31 - 60 of 64
Full-Text Articles in Engineering
Different Approaches To Blurring Digital Images And Their Effect On Facial Detection, Erich-Matthew Pulfer
Different Approaches To Blurring Digital Images And Their Effect On Facial Detection, Erich-Matthew Pulfer
Computer Science and Computer Engineering Undergraduate Honors Theses
The purpose of this thesis is to analyze the usage of multiple image blurring techniques and determine their effectiveness in combatting facial detection algorithms. This type of analysis is anticipated to reveal potential flaws in the privacy expected from blurring images or, rather, portions of images. Three different blurring algorithms were designed and implemented: a box blurring method, a Gaussian blurring method, and a differential privacy-based pixilation method. Datasets of images were collected from multiple sources, including the AT&T Database of Faces. Each of these three methods were implemented via their own original method, but, because of how common they …
Applications Of Fog Computing In Video Streaming, Kyle Smith
Applications Of Fog Computing In Video Streaming, Kyle Smith
Computer Science and Computer Engineering Undergraduate Honors Theses
The purpose of this paper is to show the viability of fog computing in the area of video streaming in vehicles. With the rise of autonomous vehicles, there needs to be a viable entertainment option for users. The cloud fails to address these options due to latency problems experienced during high internet traffic. To improve video streaming speeds, fog computing seems to be the best option. Fog computing brings the cloud closer to the user through the use of intermediary devices known as fog nodes. It does not attempt to replace the cloud but improve the cloud by allowing faster …
Prototyping A Capacitive Sensing Device For Gesture Recognition, Chenglong Lin
Prototyping A Capacitive Sensing Device For Gesture Recognition, Chenglong Lin
Computer Science and Computer Engineering Undergraduate Honors Theses
Capacitive sensing is a technology that can detect proximity and touch. It can also be utilized to measure position and acceleration of gesture motions. This technology has many applications, such as replacing mechanical buttons in a gaming device interface, detecting respiration rate without direct contact with the skin, and providing gesture sensing capability for rehabilitation devices. In this thesis, an approach to prototype a capacitive gesture sensing device using the Eagle PCB design software is demonstrated. In addition, this paper tested and evaluated the resulting prototype device, validating the effectiveness of the approach.
Exploring Photo Privacy Protection On Smartphones, David Darling
Exploring Photo Privacy Protection On Smartphones, David Darling
Computer Science and Computer Engineering Undergraduate Honors Theses
The proliferation of modern smartphone camera use in the past decade has resulted in unprecedented numbers of personal photos being taken and stored on popular devices. However, it has also caused privacy concerns. These photos sometimes contain potentially harmful information if they were to be leaked such as the personally identifiable information found on ID cards or in legal documents. With current security measures on iOS and Android phones, it is possible for 3rd party apps downloaded from official app stores or other locations to access the photo libraries on these devices without user knowledge or consent. Additionally, the prevalence …
Fingerprint Database Privacy Guard: An Open-Source System That Secures Fingerprints With Locality Sensitive Hashing Algorithms, Enrique Sanchez
Fingerprint Database Privacy Guard: An Open-Source System That Secures Fingerprints With Locality Sensitive Hashing Algorithms, Enrique Sanchez
Computer Science and Computer Engineering Undergraduate Honors Theses
Fingerprint identification is one of the most accurate sources of identification, yet it is not widely used in public facilities for security concerns. Moreover, the cost of fingerprint system is inaccessible for small-budget business because of their high cost. Therefore, this study created an open-source solution to secure fingerprint samples in the database while using low-cost hardware components. Locality Sensitive Hashing Algorithms such as ORB and Image hash were compared in this study as a potential alternative to SURF. To test the design, fifteen samples were collected and stored in a database without verifying the quality of the samples. Then, …
A Scalable, Chunk-Based Slicer For Cooperative 3d Printing, Jace J. Mcpherson
A Scalable, Chunk-Based Slicer For Cooperative 3d Printing, Jace J. Mcpherson
Computer Science and Computer Engineering Undergraduate Honors Theses
Cooperative 3D printing is an emerging technology that aims to increase the 3D printing speed and to overcome the size limit of the printable object by having multiple mobile 3D printers (printhead-carrying mobile robots) work together on a single print job on a factory floor. It differs from traditional layer-by-layer 3D printing due to requiring multiple mobile printers to work simultaneously without interfering with each other. Therefore, a new approach for slicing a digital model and generating commands for the mobile printers is needed, which has not been discussed in literature before. We propose a chunk-by-chunk based slicer that divides …
Comparison Of Data Transfer Alternatives In Asynchronous Circuits, Mark Howard
Comparison Of Data Transfer Alternatives In Asynchronous Circuits, Mark Howard
Computer Science and Computer Engineering Undergraduate Honors Theses
Digital integrated circuits (ICs) have become progressively complex in their functionality. This has sped up the demand for asynchronous architectures, which operate without any clocking scheme, considering new challenges in the timing of synchronous systems. Asynchronous ICs have less stringent environmental constraints and are capable of maintaining reliable operation in extreme environments, while also enjoying potential benefits such as low power consumption, high modularity, and improved performance. However, when the traditional bus architecture of synchronous systems is applied to asynchronous designs, handshaking protocols required for asynchronous circuit operation result in significantly increased power consumption, offsetting the low power benefit of …
An Embarrassment Of Riches: Data Integration In Vr Pompeii, Adam Schoelz
An Embarrassment Of Riches: Data Integration In Vr Pompeii, Adam Schoelz
Computer Science and Computer Engineering Undergraduate Honors Theses
It is fair to say that Pompeii is the most studied archaeological site in the world. Beyond the extensive remains of the city itself, the timing of its rediscovery and excavation place it in a unique historiographical position. The city has been continuously studied since the 18th century, with historians and archaeologists constantly reevaluating older sources as our knowledge of the ancient world expands. While several studies have approached the city from a data driven perspective, no studies of the city have taken a quantitative holistic approach on the scale of the VR Pompeii project. Hyper-specificity has been the order …
Comparison Of Google Image Search And Resnet Image Classification Using Image Similarity Metrics, David Smith
Comparison Of Google Image Search And Resnet Image Classification Using Image Similarity Metrics, David Smith
Computer Science and Computer Engineering Undergraduate Honors Theses
In this paper, we compare the results of ResNet image classification with the results of Google Image search. We created a collection of 1,000 images by performing ten Google Image searches with a variety of search terms. We classified each of these images using ResNet and inspected the results. The ResNet classifier predicted the category that matched the search term of the image 77.5% of the time. In our best case, with the search term “forklift”, the classifier categorized 92 of the 100 images as forklifts. In the worst case, for the category “hammer”, the classifier matched the search term …
Designing A Distributed Network Of Air Quality Sensors, Kaylee Rauso
Designing A Distributed Network Of Air Quality Sensors, Kaylee Rauso
Computer Science and Computer Engineering Undergraduate Honors Theses
The deterioration of human and environmental health due to worsening outdoor air quality is a serious global threat. A step towards improving the current state of ambient air worldwide is the increased collection of data for government policy, research, and general public use. Currently, reliable data is only collected at a handful of sites in the state of Arkansas and sparsely across the country. The purpose of this project was to design an inexpensive air quality sensor to saturate entire cities with nodes which transmit air data to a sensor for a web application to display. The prototype node was …
The 3d Abstract Tile Assembly Model Is Intrinsically Universal, Aaron Koch, Daniel Hader, Matthew J. Patitz
The 3d Abstract Tile Assembly Model Is Intrinsically Universal, Aaron Koch, Daniel Hader, Matthew J. Patitz
Computer Science and Computer Engineering Undergraduate Honors Theses
In this paper, we prove that the three-dimensional abstract Tile Assembly Model (3DaTAM) is intrinsically universal. This means that there is a universal tile set in the 3DaTAM which can be used to simulate any 3DaTAM system. This result adds to a body of work on the intrinsic universality of models of self-assembly, and is specifically motivated by a result in FOCS 2016 showing that any intrinsically universal tile set for the 2DaTAM requires nondeterminism (i.e. undirectedness) even when simulating directed systems. To prove our result we have not only designed, but also fully implemented what we believe to be …
Dynamic 3d Network Data Visualization, Brok Stafford
Dynamic 3d Network Data Visualization, Brok Stafford
Computer Science and Computer Engineering Undergraduate Honors Theses
Monitoring network traffic has always been an arduous and tedious task because of the complexity and sheer volume of network data that is being consistently generated. In addition, network growth and new technologies are rapidly increasing these levels of complexity and volume. An effective technique in understanding and managing a large dataset, such as network traffic, is data visualization. There are several tools that attempt to turn network traffic into visual stimuli. Many of these do so in 2D space and those that are 3D lack the ability to display network patterns effectively. Existing 3D network visualization tools lack user …
Automatic Testing In The United States Air Force, Pearson Wade
Automatic Testing In The United States Air Force, Pearson Wade
Computer Science and Computer Engineering Undergraduate Honors Theses
The need for standardized Automatic Testing Equipment in the United States Department of Defense has brought about new policies and procedures within entities like the United States Air Force. The diversity and lifespan of systems such as jets, missiles, drones, and other electronics have brought on the need for a new system known as the Versatile Depot Automatic Test Station, or VDATS. The VDATS handles the automatic testing of replaceable digital circuits from different systems. I was introduced to this system firsthand during my time as an intern at Tinker AFB, Oklahoma. This new standardized approach to testing a diverse …
Training Machine Learning Agents In A 3d Game Engine, Diego Calderon
Training Machine Learning Agents In A 3d Game Engine, Diego Calderon
Computer Science and Computer Engineering Undergraduate Honors Theses
Artificial intelligence (AI) and video games benefit from each other. Games provide a challenging domain for testing learning algorithms, and AI provides a framework to designing and implementing intelligent behavior, which reinforces meaningful play. Medium and small studios, and independent game developers, have limited resources to design, implement, and maintain agents with reactive behavior. In this research, we trained agents using machine learning (ML), aiming to find an alternative to expensive traditional algorithms for intelligent behavior used in video games. We use Unity as a game engine to implement the environments and TensorFlow for the neural network training.
Simulating Foodborne Pathogens In Poultry Production And Processing To Defend Against Intentional Contamination, Silas B. Lankford
Simulating Foodborne Pathogens In Poultry Production And Processing To Defend Against Intentional Contamination, Silas B. Lankford
Computer Science and Computer Engineering Undergraduate Honors Theses
There is a lack of data in recent history of food terrorism attacks, and as such, it is difficult to predict its impact. The food supply industry is one of the most vulnerable industries for terrorist threats while the poultry industry is one of the largest food industries in the United States. A small food terrorism attack against just a single poultry processing center has the potential to affect a much larger population than its immediate consumers. In this work, the spread of foodborne pathogens is simulated in a poultry production and processing system to defend against intentional contamination. An …
Improving Automatic Content Type Identification From A Data Set, Kathy T. Dai
Improving Automatic Content Type Identification From A Data Set, Kathy T. Dai
Computer Science and Computer Engineering Undergraduate Honors Theses
Data file layout inference refers to building the structure and determining the metadata of a text file. The text files dealt within this research are personal information records that have a consistent structure. Traditionally, if the layout structure of a text file is unknown, the human user must undergo manual labor of identifying the metadata. This is inefficient and prone to error. Content-based oracles are the current state-of-the-art automation technology that attempts to solve the layout inference problem by using databases of known metadata. This paper builds upon the information and documentation of the content-based oracles, and improves the databases …
Generation And Analysis Of A Social Network: Hamlet, Preston Evans
Generation And Analysis Of A Social Network: Hamlet, Preston Evans
Computer Science and Computer Engineering Undergraduate Honors Theses
This paper examines the generation and analysis of a social network produced from Shakespeare’s play Hamlet. An XML file of Hamlet was parsed to extract the characters within the play and also identify when the characters appeared within the same scene. After parsing the speakers and the connections between characters, a network graph was generated that displayed all the characters in Hamlet, represented by nodes, and edges that represented the connections between characters as measured by their scene co-appearance. The results of the network graph were then compared to a published social network for Hamlet created by hand. The two …
A Study Of Activation Functions For Neural Networks, Meenakshi Manavazhahan
A Study Of Activation Functions For Neural Networks, Meenakshi Manavazhahan
Computer Science and Computer Engineering Undergraduate Honors Theses
Artificial neural networks are function-approximating models that can improve themselves with experience. In order to work effectively, they rely on a nonlinearity, or activation function, to transform the values between each layer. One question that remains unanswered is, “Which non-linearity is optimal for learning with a particular dataset?” This thesis seeks to answer this question with the MNIST dataset, a popular dataset of handwritten digits, and vowel dataset, a dataset of vowel sounds. In order to answer this question effectively, it must simultaneously determine near-optimal values for several other meta-parameters, including the network topology, the optimization algorithm, and the number …
Music Feature Matching Using Computer Vision Algorithms, Mason Hollis
Music Feature Matching Using Computer Vision Algorithms, Mason Hollis
Computer Science and Computer Engineering Undergraduate Honors Theses
This paper seeks to establish the validity and potential benefits of using existing computer vision techniques on audio samples rather than traditional images in order to consistently and accurately identify a song of origin from a short audio clip of potentially noisy sound. To do this, the audio sample is first converted to a spectrogram image, which is used to generate SURF features. These features are compared against a database of features, which have been previously generated in a similar fashion, in order to find the best match. This algorithm has been implemented in a system that can run as …
Project Pradio, Trigg T. La Tour
Project Pradio, Trigg T. La Tour
Computer Science and Computer Engineering Undergraduate Honors Theses
This paper examines the design and manufacturing of a device that allows two or more users to share a wireless audio stream. Effectively, this allows a group of people to listen to the same audio in a synchronized manner. The product was unable to be completed in the allotted time. Regardless, significant progress was made and valuable insight into the circuit board design process was gained.
Bluetooth Low Energy Platform With Simblee, Calvin W. Freeman
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 …
Inferring Intrinsic Beliefs Of Digital Images Using A Deep Autoencoder, Seok H. Lee
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 …
The Information Of Spam, Sawyer C. Anderson
The Information Of Spam, Sawyer C. Anderson
Computer Science and Computer Engineering Undergraduate Honors Theses
This paper explores the value of information contained in spam tweets as it pertains to prediction accuracy. As a case study, tweets discussing Bitcoin were collected and used to predict the rise and fall of Bitcoin value. Precision of prediction both with and without spam tweets, as identified by a naive Bayesian spam filter, were measured. Results showed a minor increase in accuracy when spam tweets were included, indicating that spam messages likely contain information valuable for prediction of market fluctuations.
Tweetement: Pseudo-Relevance Feedback For Twitter Search, Kanatbay Bektemirov
Tweetement: Pseudo-Relevance Feedback For Twitter Search, Kanatbay Bektemirov
Computer Science and Computer Engineering Undergraduate Honors Theses
Microblogging platforms such as Twitter let users communicate with short messages. Due to the messages’ short content and the users’ tendency to type short queries while searching, it is particularly challenging to locate useful tweets that match user queries. The fundamental problems of word mismatch due to ambiguity are especially acute. To solve this problem, this thesis explores and compares multiple automatic query expansion methods that involve the most frequent hashtags and keywords. We built a Web service that provides real-time Twitter Search results incorporating automatic query expansion. Six pseudo-relevance feedback methods were studied and the numbers indicate that results …
Powersearch: Augmenting Mobile Phone Search Through Personalization, Xiangyu Liu
Powersearch: Augmenting Mobile Phone Search Through Personalization, Xiangyu Liu
Computer Science and Computer Engineering Undergraduate Honors Theses
Cell phone has become a fundamental element of people's life. People use it to call each other, browse websites, send text messages, etc. Among all the functionalities, the most important and frequently used is the search functionality. Based on ComScore, in July 2008, Google was estimated to host 235 millions searches per day. However, unlike the search on desktop, the search on cell phone has one critical constrain: battery. Cell phone performing a normal Google search, the battery drains very fast. The reason is that when sending a query to and fetching the results from Google, cell phone keeps communicating …
Steganography In Ipv6, Barret Miller
Steganography In Ipv6, Barret Miller
Computer Science and Computer Engineering Undergraduate Honors Theses
Steganography is the process of hiding a secret message within another message such that it is difficult to detect the presence of the secret message. In other words, the existence of the secret message is hidden. A covert channel refers to the actual medium that is used to communicate the information such as a message, image, or file. This honors thesis uses steganography within the source address fields of Internet Protocol Version 6 (IPv6) packets to create a covert channel through which clandestine messages are passed from one party to another. A fully functional computer program was designed and written …
Mapping Reality Into Virtual Worlds, Josh Mcfarlane
Mapping Reality Into Virtual Worlds, Josh Mcfarlane
Computer Science and Computer Engineering Undergraduate Honors Theses
As virtual worlds become more prevalent, they become increasingly useful as a means of information dissemination. This thesis examines the possible connections between real world objects and their virtual world counterparts. We look at how, by attaching sensors to an object, or by using a smart object with embedded sensors, the information can be relayed to a server. From this information, it will be possible to create a duplicate object in the virtual world and have it mirror the real world object in terms of state and movement. Almost all current solutions for remotely viewing a room or area are …
Key Factors In Tag Recognition For Rfid System, Nachiketa Das
Key Factors In Tag Recognition For Rfid System, Nachiketa Das
Computer Science and Computer Engineering Undergraduate Honors Theses
The research effort described here was a study of factors that affect the efficiency of a Radio Frequency Identification (RFID) system in reading a certain type of commonly used passive RFID tag ('Squiggle' by Alien Technologies). The two sets of experiments conducted under this study focus on two response variables namely: readability and read rate. The factors in focus are distance between antenna and tags, the number and combinations of tags simultaneously read by the system and position of the tags left or right of the center of the antenna. Two separate experimental setups as explained in the following sections …
Service Oriented Transitive Closure Solution, Jonathan Baran
Service Oriented Transitive Closure Solution, Jonathan Baran
Computer Science and Computer Engineering Undergraduate Honors Theses
The goal of this project is a service based solution that utilizes parallel and distributed processing algorithms to solve the transitive closure problem for a large dataset. A dataset may be view conceptually as a table in a database, with a physical structure representing a file containing a sequence of records and fields. Two records are said to be transitively related if and only if they are directly related due to sharing of one or more specific fields, or a sequence may be made from one record to the other under the condition that all intermediate entries are related the …
Location-Based Hashing For Querying And Searching, Felix Ching
Location-Based Hashing For Querying And Searching, Felix Ching
Computer Science and Computer Engineering Undergraduate Honors Theses
The rapidly growing information technology in modern days demands an efficient searching scheme to search for desired data. Locality Sensitive Hashing (LSH) is a method for searching similar data in a database. LSH achieves high accuracy and precision for locating desired data, but consumes a significant amount of memory and time. Based on LSH, this thesis presents two novel schemes for efficient and accurate data searching: Locality Sensitive Hashing-SmithWaterman (LSH-SmithWaterman) and Secure Min-wise Locality Sensitive Hashing (SMLSH). Both methods dramatically reduce the memory and time consumption and exhibit high accuracy in data searching. Simulation results demonstrate the efficiency of the …