Digital Commons Network^™

True-Ed Select: A Machine Learning Based University Selection Framework, Jerry C. Cearley

University of the Pacific Theses and Dissertations

University/College selection is a daunting task for young adults and their parents alike. This research presents True-Ed Select, a machine learning framework that simplifies the college selection process. The framework uses a four-layered approach including the user survey, machine learning, consolidation, and recommendation. The first layer collects both the objective and subjective attributes from users that best characterize their ideal college experience. The second layer employs machine learning techniques to analyze the objective and subjective attributes. The third layer combines the results from the machine learning techniques. The fourth layer inputs the consolidated result and presents a user-friendly list of …

Machine Learning-Based Recognition On Crowdsourced Food Images, Aditya Kulkarni

Honors Scholar Theses

With nearly a third of the world’s population suffering from food-induced chronic diseases such as obesity, the role of food in community health is required now more than ever. While current research underscores food proximity and density, there is a dearth in regard to its nutrition and quality. However, recent research in geospatial data collection and analysis as well as intelligent deep learning will help us study this further.

Employing the efficiency and interconnection of computer vision and geospatial technology, we want to study whether healthy food in the community is attainable. Specifically, with the help of deep learning in …

Orientation And Social Influences Matter: Revisiting Neutralization Tendencies In Information Systems Security Violation, Frank Curtis King

CCE Theses and Dissertations

It is estimated that over half of all information systems security breaches are due directly or indirectly to the poor security practices of an organization’s employees. Previous research has shown neutralization techniques as having influence on the intent to violate information security policy. In this study, we proposed an expansion of the neutralization model by including the effects of business and ethical orientation of individuals on their tendencies to neutralize and compromise with information security policy. Additionally, constructs from social influences and pressures have been integrated into this model to measure the impact on the intent to violate information security …

Deep Learning Methods For Fingerprint-Based Indoor And Outdoor Positioning, Fahad Alhomayani

Electronic Theses and Dissertations

Outdoor positioning systems based on the Global Navigation Satellite System have several shortcomings that have deemed their use for indoor positioning impractical. Location fingerprinting, which utilizes machine learning, has emerged as a viable method and solution for indoor positioning due to its simple concept and accurate performance. In the past, shallow learning algorithms were traditionally used in location fingerprinting. Recently, the research community started utilizing deep learning methods for fingerprinting after witnessing the great success and superiority these methods have over traditional/shallow machine learning algorithms. The contribution of this dissertation is fourfold:

First, a Convolutional Neural Network (CNN)-based method for …

A Tiered Recommender System For Cost-Effective Cloud Instance Selection, Xusheng Ai

University of the Pacific Theses and Dissertations

Cloud computing has greatly impacted the scientific community and the end users. By leveraging cloud computing, small research institutions and undergraduate colleges are able to alleviate costs and achieve research goals without purchasing and maintaining all the hardware and software. In addition, cloud computing allows researchers to access resources as their teams require and allows real-time collaboration with team members across the globe. Nowadays however, users are easily overwhelmed by the wide range of cloud servers and instances. Due to differences between the cloud server platforms and between instances within the platform, users find it difficult to identify the right …

Approximate Pattern Matching Using Hierarchical Graph Construction And Sparse Distributed Representation, Aakanksha Mathuria

Dissertations and Theses

With recent developments in deep networks, there have been significant advances in visual object detection and recognition. However, some of these networks are still easily fooled/hacked and have shown "bag of features" kinds of failures. Some of this is due to the fact that even deep networks make only marginal use of the complex structure that exists in real-world images. Primate visual systems appear to capture the structure in images, but how?

In the research presented here, we are studying approaches for robust pattern matching using static, 2D Blocks World images based on graphical representations of the various components of …

A Comprehensive Security Framework For Securing Sensors In Smart Devices And Applications, Amit Kumar Sikder

FIU Electronic Theses and Dissertations

This doctoral dissertation introduces novel security frameworks to detect sensor-based threats on smart devices and applications in smart settings such as smart home, smart office, etc. First, we present a formal taxonomy and in-depth impact analysis of existing sensor-based threats to smart devices and applications based on attack characteristics, targeted components, and capabilities. Then, we design a novel context-aware intrusion detection system, 6thSense, to detect sensor-based threats in standalone smart devices (e.g., smartphone, smart watch, etc.). 6thSense considers user activity-sensor co-dependence in standalone smart devices to learn the ongoing user activity contexts and builds a context-aware model to distinguish malicious …

Human Facial Emotion Recognition System In A Real-Time, Mobile Setting, Claire Williamson

Honors Theses

The purpose of this project was to implement a human facial emotion recognition system in a real-time, mobile setting. There are many aspects of daily life that can be improved with a system like this, like security, technology and safety.

There were three main design requirements for this project. The first was to get an accuracy rate of 70%, which must remain consistent for people with various distinguishing facial features. The second goal was to have one execution of the system take no longer than half of a second to keep it as close to real time as possible. Lastly, …

A Probabilistic Machine Learning Framework For Cloud Resource Selection On The Cloud, Syeduzzaman Khan

University of the Pacific Theses and Dissertations

The execution of the scientific applications on the Cloud comes with great flexibility, scalability, cost-effectiveness, and substantial computing power. Market-leading Cloud service providers such as Amazon Web service (AWS), Azure, Google Cloud Platform (GCP) offer various general purposes, memory-intensive, and compute-intensive Cloud instances for the execution of scientific applications. The scientific community, especially small research institutions and undergraduate universities, face many hurdles while conducting high-performance computing research in the absence of large dedicated clusters. The Cloud provides a lucrative alternative to dedicated clusters, however a wide range of Cloud computing choices makes the instance selection for the end-users. This thesis …

The School Of Engineering And Computer Science Class Of 2019 Electrical And Computer Engineering Academic Celebration Program, Cedarville University

Engineering and Computer Science Academic Celebrations

No abstract provided.

Cloud Workload Allocation Approaches For Quality Of Service Guarantee And Cybersecurity Risk Management, Soamar Homsi

FIU Electronic Theses and Dissertations

It has become a dominant trend in industry to adopt cloud computing --thanks to its unique advantages in flexibility, scalability, elasticity and cost efficiency -- for providing online cloud services over the Internet using large-scale data centers. In the meantime, the relentless increase in demand for affordable and high-quality cloud-based services, for individuals and businesses, has led to tremendously high power consumption and operating expense and thus has posed pressing challenges on cloud service providers in finding efficient resource allocation policies.

Allowing several services or Virtual Machines (VMs) to commonly share the cloud's infrastructure enables cloud providers to optimize resource …

Development Of The Codebase For Ece Design: Smartwatch Device And App For Continuous Glucose Monitoring, Keelin J. Becker-Wheeler

Honors Scholar Theses

This honors thesis describes the development of the codebase for the 2018 University of Connecticut ECE Senior Design project titled "Smartwatch Device and App for Continuous Glucose Monitoring''. The goal for the senior design project is to remove the dependencies imposed by a previously-designed prototype of a glucose-monitoring smartwatch, by creating a new custom device without those dependencies. Development of the new codebase involves splitting the tasks of an Arduino codebase into a number of logical components that are then implemented in C. This new codebase makes substantial improvements to the overall program structure and organization, as well as numerous …

The Rock 2018, School Of Engineering And Computer Science

The Rock

No abstract provided.

Greenbin, Jessica Chao

Computer Engineering

Greenbin is an iteration of a larger project to implement a zero-waste container tracking system for use in Cal Poly’s dining facilities. The system utilizes a database system as well as passive RFID technologies to track the checking-in and checking-out of plastic reusable food containers. These plastic food containers can be checked out by campus dining patrons, and returned autonomously to collection bins that contain these scanners, allowing the containers to be recollected, re-accounted for, and reused.

The Rock 2017, School Of Engineering And Computer Science

The Rock

No abstract provided.

Automated Rendering Of Schema Diagram For Ontologies, Nazifa Karima

Browse all Theses and Dissertations

Semantic Web extends the current web, using ontologies, metadata and other technologies to establish links between terms and concepts. This enables machines to automatically integrate information across different platforms utilizing the standard definitions. Furthermore, reasoning agents can infer new knowledge by gathering existing information and these additional connections between them. As a result of being designed and maintained independently, data sources exhibit highly heterogeneous nature. This increases the complexity of data integration and hinders interoperability. However, if we can align the overlapping concepts among different domains of knowledge, the prospect of achieving interoperability and integration without having any intermediate reasoning …

A Comparative Study Of Bagging And Boosting Of Supervised And Unsupervised Classifiers For Outliers Detection, Yue Dang

Browse all Theses and Dissertations

The problem of outlier detection has received increasing attention recently because it plays a great role in many fields such as credit fraud detection, cyber security, etc. Machine Learning approach is an excellent choice for outlier detection due to its accuracy and efficiency. Outlier detection problem is unique due to the so-called classes imbalance: the inliers are extreme majority and the outliers are minority. Ensemble methods are popular in classification and regression task in practice to improve the performance of machine learning algorithms. Bagging and boosting are two common methods of them. In this thesis, we want to show the …

Adapting The Search Space While Limiting Damage During Learning In A Simulated Flapping Wing Micro Air Vehicle, Monica Sam

Browse all Theses and Dissertations

Cyber-Physical Systems (CPS) are characterized by closely coupled physical and software components that operate simultaneously on different spatial and temporal scales; exhibit multiple and distinct behavioral modalities; and interact with one another in ways not entirely predictable at the time of design. A commonly appearing type of CPS are systems that contain one or more smart components that adapt locally in response to global measurements of whole system performance. An example of a smart component robotic CPS system is a Flapping Wing Micro Air Vehicle (FW-MAV) that contains wing motion oscillators that control their wing flapping patterns to enable the …

Successful Female Students In Undergraduate Computer Science And Computer Engineering: Motivation, Self-Regulation, And Qualitative Characteristics, Melissa Patterson Hazley

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Computer Science (CS) and Computer Engineering (CE) fields typically have not been successful at recruiting or retaining women students. Research indicates several reasons for this shortage but mainly from three perspectives: social issues, exposure/prior knowledge and curriculum issues in K-12 settings. This mixed-methods research addresses a gap in the literature by investigating the motivation and self-regulation behaviors of successful female students who are studying computer science and computer engineering. The findings in phase one of this study indicated that learning and performance approach goals predicted adaptive strategic self-regulation behaviors including strategy use, knowledge building and engagement. Learning avoidance goals predicted …

3d Immersive Visualization: Expanding Human Sensation, Megan Davis, Francisco Gonzalez, Connor Waters

Capstone Design Expo Posters

Unmet Need: The constant push for better and more interactive data visualization aids: the Oculus Rift replaced a two-dimensional fixed monitor with head tracking and a three-dimensional virtual space to explore; the Novint Falcon replaces two-dimensional pointing tools with a haptic sensor with force feedback and three degrees of axial freedom.

Deliverables: A demonstration of the technologies involved, in the form of an Oculus- and Falconenabled physical simulation of a room containing several objects that can be handled and manipulated in three dimensions.

Constraints: The hardware is expensive and difficult to acquire, and it requires a beefy computer to run. …

Find: Framework For Intelligent Research Discovery, Clint Cuffy, Tej Mehta, Hengbin Li

Capstone Design Expo Posters

Computers are essential to research yet the different ways in which computers can automate or speed up research have not been fully explored. Researchers are publishing experimental results faster than ever before and the number of articles to read on a single subject now presents an overwhelming task. FiND aims to expedite this process through an extensible backbone infrastructure for the automated synthesizing of data. FiND includes a Web User Interface, Perl Core and MySQL Database developed using the software constraints of Perl, HTML, CSS, CGI and MySQL. FiND attempts to simplify this task by reducing time spent in exhaustive …

Adaptive Controller Using Runtime Partial Hardware Reconfiguration For Unmanned Aerial Vehicles (Uavs), Nikhil Thomas

Graduate Theses and Dissertations

The goal of this thesis is to explore the feasibility of a multirotor controller system which can dynamically change the arm configuration of a multirotor. Currently most of the multirotor systems have to be powered down, rewired, and programmed with new firmware, to configure how many arms/motors they use to fly. The focus of our effort is to develop a Field Programmable Gate Array (FPGA) based hardware/software controller which uses dynamic partial hardware reconfiguration to switch the arm/motor configuration of a multirotor during operation. We believe that this will make a multirotor more fault tolerant and adaptive. This thesis explains …

Adaptive Graph Construction For Isomap Manifold Learning, Loc Tran, Zezhong Zheng, Guoquing Zhou, Jiang Li, Karen O. Egiazarian (Ed.), Sos S. Agaian (Ed.), Atanas P. Gotchev (Ed.)

Electrical & Computer Engineering Faculty Publications

Isomap is a classical manifold learning approach that preserves geodesic distance of nonlinear data sets. One of the main drawbacks of this method is that it is susceptible to leaking, where a shortcut appears between normally separated portions of a manifold. We propose an adaptive graph construction approach that is based upon the sparsity property of the ℓ₁ norm. The ℓ₁ enhanced graph construction method replaces k-nearest neighbors in the classical approach. The proposed algorithm is first tested on the data sets from the UCI data base repository which showed that the proposed approach performs better than …

Application Aware For Byzantine Fault Tolerance, Hua Chai

ETD Archive

Driven by the need for higher reliability of many distributed systems, various replication-based fault tolerance technologies have been widely studied. A prominent technology is Byzantine fault tolerance (BFT). BFT can help achieve high availability and trustworthiness by ensuring replica consistency despite the presence of hardware failures and malicious faults on a small portion of the replicas. However, most state-of-the-art BFT algorithms are designed for generic stateful applications that require the total ordering of all incoming requests and the sequential execution of such requests. In this dissertation research, we recognize that a straightforward application of existing BFT algorithms is often inappropriate …

Design, Fabrication, And Analysis Of A 3u Cubesat Platform, Todd Chun-Van Osdol, Charles Dorsey, Jake Hedlund, Thomas Hoye, Owen Jacobs, Kadja Klarreich-Giglio, Elliott Martin, Michael Ruiz, Michael Schlesselmann, Zachary Singh

Mechanical Engineering Senior Theses

The goal of this project is to develop a 3U CubeSat nanosatellite bus capable of short duration technology verification experiments while providing compelling handson student education opportunities. This 3U CubeSat platform has been prototyped by the design team in order to demonstrate its capabilities. This spacecraft, the Unspecified Payload Active Attitude Control Nanosatellite (UPAACN), is designed to perform a 3-6 month technology verification experiment for a NASA test component and an SCU single-axis attitude control system (AACS) in Low Earth Orbit (LEO). This project builds upon the flight heritage of SCU's Robotic Systems Laboratory (RSL) and improves its satellite development …

Shoutboard : A New Locative Social Network, Evan Havlisch, Ketan Kumar, Tovin Thomas

Computer Science and Engineering Senior Theses

This paper will illustrate the need for a better location based social network that utilizes the latest smartphone features. Over the course of this project, we created ShoutBoard. ShoutBoard is a way for people to share messages with the people geographically close by. We accomplish this by creating a system with a client-server architecture. The user will use the iPhone app or the website to interact with our server. The server will fetch messages that other users have posted and return them to the client. Within this document, we describe in detail the problem we wish to solve, the current …

Mobile Educational Forum, Suzanne Lien, Alexandria Shearer

Computer Science and Engineering Senior Theses

Good education is essential for youth around the world. However, many communities in the developing world do not have access to basic knowledge and resources, like HIV prevention, womens rights, and life skills. As a result, the youth in these communities grow up and face difficult substandard lives. The Mobile Educational Forum addresses these issues by enabling a central party to distribute educational information to youth in emerging markets by making use of resources they already have on hand--mobile phones. Through our mobile web application, young people not only receive valuable information, but are also able to engage in discourse …

Project Omoverhi : Low-Cost, Neonatal Incubator, Richard Fong, Guillermo Gallardo, William Jeffery, Danny Maeda, Gabriel Romero

Interdisciplinary Design Senior Theses

Project Omoverhi, since its beginning in 2010-2011, has been focused on creating an incubator that has the capability of operating completely off grid. This year the project has been focused on redesigning the original system to reduce the cost to approximately $1000. In addition to this we have designed and implemented a control system that enables the user to set a desired temperature which can be maintained to within 1 degree Celsius. Before the project is able to be completed further work must be done. The thermal storage system that was initially proposed by the original team still needs to …

Kosmos : A Virtual 3-D Universe, John Judnich

Computer Science and Engineering Senior Theses

Kosmos is an application enabling interactive visualization of a fictional 3D universe. It offers users the opportunity to explore and experience an aesthetically pleasing virtual environment complete with billions of high-resolution planets and stars. Kosmos integrates several novel 3D rendering techniques in terrain rendering, large-scale particle systems, etc. to make this level of graphical realism and scale possible. The efficiency of the algorithms developed for this project enables average hardware (such as almost any modern laptop) to run Kosmos smoothly. Moreover, through the use of the recent WebGL standard, Kosmos may be viewed online in any modern web browser on …

Wireless Impact Detection System, Shawno Auwae, Kyle Terriere

Interdisciplinary Design Senior Theses

Recently, brain trauma caused by multiple concussions has become a pressing issue for contact sports, mainly American football players. The severity of the impacts in these sports have led to discussion concerning the standard safety equipment used, as well as the rules enforcing a certain style of play. Multiple studies have shown that concussions have damaging long-term effects, including dementia and memory loss. The dominant professional football organization, the National Football League (NFL), employs qualified athletic trainers to diagnose and treat players with concussions, but many incidents still go undetected. This problem is magnified at the youth level, where the …