Computer Sciences Commons^™

Computational Analysis Of Composite Fiber Diameter, Cailin Simpson

Summer Community of Scholars Posters (RCEU and HCR Combined Programs)

No abstract provided.

Smart-Teleprompter: An Online Teleprompter With Text Editing, Mikyla Wilfred

Williams Honors College, Honors Research Projects

Mikyla Wilfred

Major: Computer Science

Project Sponsor: Dr. Collard

Number of Project Credits: 3

Smart-Teleprompter

The smart-teleprompter is a website that allows a logged in user to edit text files as well as teleprompt them straight to the screen. A teleprompter is used by newscasters and other media professionals to read scripts while still looking at or near the camera. My project uses this concept creating a page that defaults to white font on a black background that can scroll through the script. The website allows the logged in user to save defaults of font color, background color, font style …

An Implementation And Usability Study Of A Natural User Interface Virtual Piano, Zackery Frazier

Williams Honors College, Honors Research Projects

We present an implementation of a Natural User Interface (NUI) virtual piano keyboard. Using the Unity game engine and a Leap Motion hand controller, users are able to use their hands to interact with and play music in a virtual scene. Various approaches were attempted in refining the user experience of the virtual piano, and the successes and shortcomings of each implementation method are outlined and elaborated upon. Additionally, the most successful method, which was achieved by using Unity’s physics engine to detect rigid body collisions between virtual fingers and keys, was used to complete a usability study involving both …

Pip: An Abstract Dataplane And Virtual Machine, Samuel Goodrick

Williams Honors College, Honors Research Projects

We present an abstract machine and S-expression-based programming language to describe OpenFlow-style software-defined networking. The implemented Pip virtual machine and language provide facilities for packet decoding, safely writing and setting bitfields within packets, and switching based on packet contents. We have outlined an abstract syntax and structural operational semantics for Pip, thus allowing Pip programs to have predictable and provable properties. Pip allows for easy and safe access and writing to packet fields, as well as a programmable packet pipeline that will rarely stall.

Exercising Efficiently With An Equipment Ticketing Mobile Application, Eric Merryman

Williams Honors College, Honors Research Projects

The purpose of this project is to explore the discipline of developing mobile applications using a cross-platform framework. Mobile devices have had a large influence on our lifestyles and with the global mobile application market grossing billions of dollars, many companies are adapting to the change and creating mobile applications for their business. With a variety of competing mobile devices and operating systems, companies must cater to each system. Cross-platform frameworks allow developers to quickly create mobile applications that can be used on many different devices. Xamarin.Forms is a cross-platform framework that allows developers to create a mobile application using …

My.Eskwela: Designing An Enterprise Learning Management System To Increase Social Network And Reduce Cognitive Load, Ma. Regina Justina E. Estuar, Orven E. Llantos

Department of Information Systems & Computer Science Faculty Publications

A typical learning management system (LMS) provides a tool for teachers to upload and create links to resources, create online assessments and provide immediate evaluation to students. As much as it tries to be student centered, most LMS remains a tool for instruction rather than learning. In a learning generation that is bound by very high online social capital, connectedness to the family weakens. my.Eskwela (My School) redefines LMS to include a parent component to address the need for inclusive participation of parents in the teaching-learning process. Basis for re-design came from the low user acceptance of teachers in using …

The Efficacy Of An Emr-Enabled Text Messaging System To The Expanded Health Beliefs, Diabetes Care Profile And Hba1c Of Diabetes Mellitus Patients, Ma. Regina Justina E. Estuar, John Noel Victorino, Razel Custodio

Department of Information Systems & Computer Science Faculty Publications

As diabetes mellitus (DM) becomes a global emergency, there is a need to explore novel interventions to address problems in self – management. Literature agree in the potential of mobile phones to carry-out self-care for a wide-array of disease conditions. Diabetes Self – Management Support and Education Through Text – Messaging (DSMSET) is a low-cost, two-way text messaging system designed to deliver self - help, educational messages based on the nine (9) dimensions of health management. DSMSET serves as a plugin to SHINE OS+, an open – source electronic medical record (EMR) system. The research is also based on the …

Artificial Neural Network (Ann) In A Small Dataset To Determine Neutrality In The Pronunciation Of English As A Foreign Language In Filipino Call Center Agents, Proceso L. Fernandez Jr, Rey Benjamin M. Baquirin

Department of Information Systems & Computer Science Faculty Publications

Artificial Neural Networks (ANNs) have continued to be efficient models in solving classification problems. In this paper, we explore the use of an ANN with a small dataset to accurately classify whether Filipino call center agents’ pronunciations are neutral or not based on their employer’s standards. Isolated utterances of the ten most commonly used words in the call center were recorded from eleven agents creating a dataset of 110 utterances. Two learning specialists were consulted to establish ground truths and Cohen’s Kappa was computed as 0.82, validating the reliability of the dataset. The first thirteen Mel-Frequency Cepstral Coefficients (MFCCs) were …

Development Of An Electronic Nose For Olfactory System Modelling Using Artificial Neural Network, Proceso L. Fernandez Jr, Mary Anne Sy Roa

Department of Information Systems & Computer Science Faculty Publications

Electronic nose (e-nose) devices have received considerable attention in the field of sensor technology because of their many potential uses such as in identification of toxic wastes, monitoring air quality, examining odors in infected wounds and in inspection of food. Notwithstanding the vast amount of literature on the usage of e-noses for specific purposes, the technology originally and ultimately aims to mimic the capability of mammals to discriminate odors from all sorts of objects. This study demonstrates the theoretical and practical feasibility of designing an e-nose towards general odor classification. A multi-sensor array hardware unit was carefully constructed for data …

Vlsi Implementation Of An Efficient Lossless Eeg Compression Design For Wireless Body Area Network, Chiung-An Chen, Chen Wu, Patricia Angela R. Abu, Shih-Lun Chen

Department of Information Systems & Computer Science Faculty Publications

Data transmission of electroencephalography (EEG) signals over Wireless Body Area Network (WBAN) is currently a widely used system that comes together with challenges in terms of efficiency and effectivity. In this study, an effective Very-Large-Scale Integration (VLSI) circuit design of lossless EEG compression circuit is proposed to increase both efficiency and effectivity of EEG signal transmission over WBAN. The proposed design was realized based on a novel lossless compression algorithm which consists of an adaptive fuzzy predictor, a voting-based scheme and a tri-stage entropy encoder. The tri-stage entropy encoder is composed of a two-stage Huffman and Golomb-Rice encoders with static …

Risk Management Strategies To Prevent And Mitigate Emerging Operational Security Threats, Nancy Page Larrimore

Walden Dissertations and Doctoral Studies

Dependence on technology brings security compromises that have become a global threat that costs businesses millions of dollars. More than 7.6 million South Carolinians incurred effects from the 162 security breaches reported in 2011-2015. The purpose of this multiple case study was to explore the risk management strategies small business leaders use to prevent and mitigate operational security threats that produce financial losses. The population for this study consisted of 6 business leaders in South Carolina who have demonstrated successful experience in preventing and mitigating operational security threats. Transformational leadership theory provided the conceptual framework for exploring the overreaching research …

The Application Of Gpu To Molecular Communication Studies, Tobias J. Cain

EWU Masters Thesis Collection

This thesis applies the recent trends in parallel processing, via graphics processing unit (GPU), to the field of molecular communications (MC), an investigation into communication possibilities of futuristic in vivo nanomachines. Existing MC simulations have not fully accounted for structural boundaries and the associated simulation of a massive number of messenger molecule paths for stochastic evaluation. These molecules are influenced by a Brownian motion as well as the flow of the blood, which is modeled using numerical methods based on the Fokker-Planck stochastic differential equation. By using a GPU these paths can be calculated on a massive scale, both in …

Strategies Used By Cloud Security Managers To Implement Secure Access Methods, Eric Harmon

Walden Dissertations and Doctoral Studies

Cloud computing can be used as a way to access services and resources for many organizations; however, hackers have created security concerns for users that incorporate cloud computing in their everyday functions. The purpose of this qualitative multiple case study was to explore strategies used by cloud security managers to implement secure access methods to protect data on the cloud infrastructure. The population for this study was cloud security managers employed by 2 medium size businesses in the Atlanta, Georgia metropolitan area and that have strategies to implement secure access methods to protect data on the cloud infrastructure. The technology …

Video Game Development Strategies For Creating Successful Cognitively Challenging Games, Walter K. Williams

Walden Dissertations and Doctoral Studies

The video game industry is a global multibillion dollar industry with millions of players. The process of developing video games is essential for the continued growth of the industry, and developers need to employ effective strategies that will help them to create successful games. The purpose of this explorative qualitative single case study was to investigate the design strategies of video game developers who have successfully created video games that are challenging, entertaining, and successful. The technology acceptance model served as a conceptual framework. The entire population for this study was members of a video game development team from a …

Smartphone User Privacy Preserving Through Crowdsourcing, Bahman Rashidi

Theses and Dissertations

In current Android architecture, users have to decide whether an app is safe to use or not. Expert users can make savvy decisions to avoid unnecessary private data breach. However, the majority of regular users are not technically capable or do not care to consider privacy implications to make safe decisions. To assist the technically incapable crowd, we propose a permission control framework based on crowdsourcing. At its core, our framework runs new apps under probation mode without granting their permission requests up-front. It provides recommendations on whether to accept or not the permission requests based on decisions from peer …

Educational Manager Perceptions Towards Integrated Management Information System Implementation In Yemen, Mahfood Hussain Alkaabi

Walden Dissertations and Doctoral Studies

The government of Yemen has been developing government offered services designed to improve the quality of education management. Yemen's managers of education and managers of higher education in the Ministry of Education (MOE) and the Ministry of Higher Education (MOHE) have sought to improve quality of education, reduce costs, and provide timely information for decision-making processes by implementing an integrated management information system (IMIS). The problem was the lack of understanding the barriers that hinder successful IMIS implementation by the MOE and MOHE, and the role that lack of collaboration has played in prior unsuccessful attempts. The purpose of this …

A Twitter-Based Study For Understanding Public Reaction On Zika Virus, Roopteja Muppalla

Browse all Theses and Dissertations

In recent times, social media platforms like Twitter have become more popular and people have become more interactive and responsive than before. People often react to every news in real-time and within no-time, the information spreads rapidly. Even with viral diseases like Zika, people tend to share their opinions and concerns on social media. This can be leveraged by the health officials to track the disease in real-time thereby reducing the time lag due to traditional surveys. A faster and accurate detection of the disease can allow health officials to understand people's opinion of the disease and take necessary precautions …

A Model For Seasonal Dynamic Networks, Jace D. Robinson

Browse all Theses and Dissertations

Sociotechnological and geospatial processes exhibit time varying structure that make insight discovery challenging. This paper presents statistical model of systems with seasonal dynamics, modeled as a dynamic network, to address this challenge. It assumes the probability of edge formations depend on a type assigned to incident nodes and the current time. Time dependencies are modeled by unique seasonal processes. The model is studied on several synthetic and real datasets. Superior fidelity of this model on seasonal datasets compared to existing network models, while being able to remain equally accurate for networks with randomly changing structure, is shown. The model is …

Virtual Doctor: An Intelligent Human-Computer Dialogue System For Quick Response To People In Need, Stavros Mallios

Browse all Theses and Dissertations

One of the challenges of our society is the existence of chronic-related conditions and diseases among the elderly and people at risk. Apart from the welfare of people, a significant impact of this phenomenon is the accumulation of high financial costs for both individuals and health care systems. In order to address this issue and to reduce its effects, many efforts have been made towards preventing, identifying in early stages and, generally, managing chronic-related medical conditions and diseases. As a result, there has been a keen research and market interest in health monitoring devices during the past few decades. Nevertheless, …

A Multi-Formal Languages Collaborative Scheme For Complex Human Activity Recognition And Behavioral Patterns Extraction, Anargyros Angeleas

Browse all Theses and Dissertations

Human Activity Recognition is an actively researched domain for the past few decades, and is one of the most eminent applications of today. It is already part of our life, but due to high level of uncertainty and challenges of human detection, we have only application specific solutions. Thus, the problem being very demanding and still remains unsolved. Within this PhD we delve into the problem, and approach it from a variety of viewpoints. At start, we present and evaluate different architectures and frameworks for activity recognition. Henceforward, the focal point of our attention is automatic human activity recognition. We …

Use Of Adaptive Mobile Applications To Improve Mindfulness, Wiehan Boshoff

Browse all Theses and Dissertations

Mindfulness is the state of retaining awareness of what is happening at the current point in time. It has been used in multiple forms to reduce stress, anxiety, and even depression. Promoting Mindfulness can be done in various ways, but current research shows a trend towards preferential usage of breathing exercises over other methods to reach a mindful state. Studies have showcased that breathing can be used as a tool to promote brain control, specifically in the auditory cortex region. Research pertaining to disorders such as Tinnitus, the phantom awareness of sound, could potentially benefit from using these brain control …

Domain-Specific Knowledge Extraction From The Web Of Data, Sarasi Lalithsena

Browse all Theses and Dissertations

Domain knowledge plays a significant role in powering a number of intelligent applications such as entity recommendation, question answering, data analytics, and knowledge discovery. Recent advances in Artificial Intelligence and Semantic Web communities have contributed to the representation and creation of this domain knowledge in a machine-readable form. This has resulted in a large collection of structured datasets on the Web which is commonly referred to as the Web of data. The Web of data continues to grow rapidly since its inception, which poses a number of challenges in developing intelligent applications that can benefit from its use. Majority of …

Sensor Data Streams Correlation Platform For Asthma Management, Vaikunth Sridharan

Browse all Theses and Dissertations

Asthma is a high-burden chronic inflammatory disease with prevalence in children with twice the rate compared to adults. It can be improved by continuously monitoring patients and their environment using the Internet of Things (IoT) based devices. These sensor data streams so obtained are essential to comprehend multiple factors triggering asthma symptoms. In order to support physicians in exploring causal associations and finding actionable insights, a visualization system with a scalable cloud infrastructure that can process multimodal sensor data and Patient Generated Health Data (PGHD) is necessary. In this thesis, we describe a cloud-based asthma management and visualization platform that …

Measuring Goal Similarity Using Concept, Context And Task Features, Vahid Eyorokon

Browse all Theses and Dissertations

Goals can be described as the user's desired state of the agent and the world and are satisfied when the agent and the world are altered in such a way that the present state matches the desired state. For physical agents, they must act in the world to alter it in a series of individual atomic actions. Traditionally, agents use planning to create a chain of actions each of which altering the current world state and yielding a new one until the final action yields the desired goal state. Once this goal state has been achieved, the goal is said …

Image Stitching And Matching Tool In The Automated Iterative Reverse Engineer (Aire) Integrated Circuit Analysis Suite, David C. Bowman

Browse all Theses and Dissertations

Due to current market forces, leading-edge semiconductor fabrication plants have moved outside of the US. While this is not a problem at first glance, when it comes to security-sensitive applications, over-production, device cloning, or design alteration becomes a possibility. Since these vulnerabilities exist during the fabrication phase, a Reverse Engineering (RE) step must be introduced to help ensure secure device operation. This thesis proposes several unique methods and a collection of tools to ensure trust assurance in integrated circuit design by detecting fabrication flaws and possible hardware Trojans using several image processing techniques; fused into a singular view of the …

The Feasibility Of Dementia Caregiver Task Performance Measurement Using Smart Gaming Technology, Garrett G. Goodman

Browse all Theses and Dissertations

Dementia caregiver burnout is detrimental to both the familial caregiver and their loved ones with dementia. As the population of older adults increases, both the number of individuals with dementia and their corresponding caregivers increase as well. Thus, we are interested in developing a potential tool to non-invasively detect signs of caregiver burnout using a mobile application combined with machine learning. Hence, the mobile application "Caregiver Assessment using Smart Technology" (CAST) was developed which personalizes a word scramble game. The CAST application utilizes a heuristically constructed Fuzzy Inference System (FIS) optimized via a Genetic Algorithm (GA) to provide an individualized …

Development Of A Human-Ai Teaming Based Mobile Language Learning Solution For Dual Language Learners In Early And Special Educations, Saurabh Shukla

Browse all Theses and Dissertations

Learning English as a secondary language is often an overwhelming challenge for dual language learners (DLLs), whose first language (L1) is not English, especially for children in early education (PreK-3 age group). These early DLLs need to devote a considerable amount of time learning to speak and read the language, in order to gain the language proficiency to function and compete in the classroom. Fear of embarrassment when mispronouncing words in front of others may drive them to remain silent; effectively hampering their participation in the class and overall curricular growth. The process of learning a new language can benefit …

Multiple Drone Detection And Acoustic Scene Classification With Deep Learning, Hari Charan Vemula

Browse all Theses and Dissertations

Classification of environmental scenes and detection of events in one's environment from audio signals enables one to create better-planning agents, intelligent navigation systems, pattern recognition systems, and audio surveillance systems. This thesis will explore the use of Convolutional Neural Networks(CNN'S) with spectrograms and raw audio waveforms as inputs to Deep Neural Networks with hand engineered features extracted from large-scale feature extraction schemes to identify the acoustic scenes and events. The first part focuses on building an audio pattern recognition system capable of detecting the if there are zero, one, or two DJI phantoms in the scene within the range of …

A Framework To Understand Emoji Meaning: Similarity And Sense Disambiguation Of Emoji Using Emojinet, Sanjaya Wijeratne

Browse all Theses and Dissertations

Pictographs, commonly referred to as `emoji’, have become a popular way to enhance electronic communications. They are an important component of the language used in social media. With their introduction in the late 1990’s, emoji have been widely used to enhance the sentiment, emotion, and sarcasm expressed in social media messages. They are equally popular across many social media sites including Facebook, Instagram, and Twitter. In 2015, Instagram reported that nearly half of the photo comments posted on Instagram contain emoji, and in the same year, Twitter reported that the `face with tears of joy’ emoji has been tweeted 6.6 …

Developing A Kinect Based Holoportation System, Soumya Chiday

Browse all Theses and Dissertations

Holographic communication and distributed collaboration offer great potential for empathic computing to help remove the cost, distance, language and expertise barriers in many social and economic activities. Recent advances in AR-enhanced communication as evident by Microsoft Holoportation technology demonstrate the progress toward fully immersive collaborations distributed and remotely. Current holoportation system requires the use of extensive camera-arrays and powerful server system due to the computation demand and sensory needs to capture and reconstruct the subject of interests Thus, they suffer in mobility and applicability in real-world scenarios. In this thesis, we present an ultra-portable holoportation system design that requires only …