Computer Sciences Commons^™

Identifying Parkinson’S Patients: A Functional Gradient Boosting Approach, D. S. Dhami, Ameet Soni, D. Page, S. Natarajan

Computer Science Faculty Works

Parkinson’s, a progressive neural disorder, is difficult to identify due to the hidden nature of the symptoms associated. We present a machine learning approach that uses a definite set of features obtained from the Parkinson’s Progression Markers Initiative (PPMI) study as input and classifies them into one of two classes: PD (Parkinson’s disease) and HC (Healthy Control). As far as we know this is the first work in applying machine learning algorithms for classifying patients with Parkinson’s disease with the involvement of domain expert during the feature selection process. We evaluate our approach on 1194 patients acquired from Parkinson’s Progression …

Conceptual Primitive Decomposition For Knowledge Sharing Via Natural Language, Jamie C. Macbeth

Computer Science: Faculty Publications

Natural language is an ideal mode of interaction and knowledge sharing between intelligent computer systems and their human users. But a major problem that natural language interaction poses is linguistic variation, or the "paraphrase problem": there are a variety of ways of referring to the same idea. This is a special problem for intelligent systems in domains such as information retrieval, where a query presented in natural language is matched against an ontology or knowledge base, particularly when its representation uses a vocabulary based in natural language. This paper proposes solutions to these problems in primitive decomposition methods that represent …

Image Schemas And Conceptual Dependency Primitives: A Comparison, Jamie C. Macbeth, Dagmar Gromann, Maria M. Hedblom

Computer Science: Faculty Publications

A major challenge in natural language understanding research in artificial intelligence (AI) has been and still is the grounding of symbols in a representation that allows for rich semantic interpretation, inference, and deduction. Across cognitive linguistics and other disciplines, a number of principled methods for meaning representation of natural language have been proposed that aim to emulate capacities of human cognition. However, little cross-fertilization among those methods has taken place. A joint effort of human-level meaning representation from AI research and from cognitive linguistics holds the potential of contributing new insights to this profound challenge. To this end, this paper …

Angle-Monotone Paths In Non-Obtuse Triangulations, Anna Lubiw, Joseph O'Rourke

Computer Science: Faculty Publications

We reprove a result of Dehkordi, Frati, and Gudmundsson: every two vertices in a non-obtuse triangulation of a point set are connected by an angle-monotone path-an xy-monotone path in an appropriately rotated coordinate system. We show that this result cannot be extended to angle-monotone spanning trees, but can be extended to boundary-rooted spanning forests. The latter leads to a conjectural edge-unfolding of sufficiently shallow polyhedral convex caps.

Temporal Alignment Using The Incremental Unit Framework, Casey Kennington, Ting Han, David Schlangen

Computer Science Faculty Publications and Presentations

We propose a method for temporal alignments--a precondition of meaningful fusions--of multimodal systems, using the incremental unit dialogue system framework, which gives the system flexibility in how it handles alignment: either by delaying a modality for a specified amount of time, or by revoking (i.e., backtracking) processed information so multiple information sources can be processed jointly. We evaluate our approach in an offline experiment with multimodal data and find that using the incremental framework is flexible and shows promise as a solution to the problem of temporal alignment in multimodal systems.

Panel: Influencing Culture And Curriculum Via Revolution, Amit Jain

Computer Science Faculty Publications and Presentations

The goal of this panel session is to introduce audience members to the challenges and successes of significant cultural and curricular change as enacted by awardees in the NSF program Revolutionizing Engineering and Computer Science Departments (RED). This panel will explore how organizations go about the process of cultural investigation and how they embark on culture change, using RED awardees of 2016 as the featured panelists (the second cohort). These teams are engaged in high-risk, high-trust-required activities focused on both the organizational and operational structure of their departments, and on re-envisioning engineering and computer science curricula to create professionals able …

Analysis On The Security And Use Of Password Managers, Carlos Luevanos, John Elizarraras, Khai Hirschi, Jyh-Haw Yeh

Computer Science Faculty Publications and Presentations

Cybersecurity has become one of the largest growing fields in computer science and the technology industry. Faulty security has cost the global economy immense losses. Oftentimes, the pitfall in such financial loss is due to the security of passwords. Companies and regular people alike do not do enough to enforce strict password guidelines like the NIST (National Institute of Standard Technology) recommends. When big security breaches happen, thousands to millions of passwords can be exposed and stored into files, meaning people are susceptible to dictionary and rainbow table attacks. Those are only two examples of attacks that are used to …

A Novel Approach For Classifying Gene Expression Data Using Topic Modeling, Soon Jye Kho, Himi Yalamanchili, Michael L. Raymer, Amit Sheth

Kno.e.sis Publications

Understanding the role of differential gene expression in cancer etiology and cellular process is a complex problem that continues to pose a challenge due to sheer number of genes and inter-related biological processes involved. In this paper, we employ an unsupervised topic model, Latent Dirichlet Allocation (LDA) to mitigate overfitting of high-dimensionality gene expression data and to facilitate understanding of the associated pathways. LDA has been recently applied for clustering and exploring genomic data but not for classification and prediction. Here, we proposed to use LDA inclustering as well as in classification of cancer and healthy tissues using lung cancer …

Supporting Education For Students With Children Through Mobile Technology, Brenda C. Varner

CCAC Theses and Dissertations

The original goal of this project was to build a peer e-mentoring program for parents and measure the effect of the program on persistence. In spite of strong mentor participation, two terms of focused recruiting did not attract mentees. This sparked the question of why those who had successfully navigated the higher education system thought a peer e-mentoring program was needed but those in the process did not. A focused ethnography was designed to try to understand why students with children were resistant to peer e-mentoring. Students with children used technology to integrate the various roles of life. They used …

Measuring Cybersecurity Competency: An Exploratory Investigation Of The Cybersecurity Knowledge, Skills, And Abilities Necessary For Organizational Network Access Privileges, Richard Nilsen

CCAC Theses and Dissertations

Organizational information system users (OISU) that are victimized by cyber threats are contributing to major financial and information losses for individuals, businesses, and governments. Moreover, it has been argued that cybersecurity competency is critical for advancing economic prosperity and maintaining national security. The fact remains that technical cybersecurity controls may be rendered useless due to a lack of cybersecurity competency of OISUs. All OISUs, from accountants to cybersecurity forensics experts, can place organizational assets at risk. However, that risk is increased when OISUs do not have the cybersecurity competency necessary for operating an information system (IS). The main goal of …

Investigating The Perceived Influence Of Data Warehousing And Business Intelligence Maturity On Organizational Performance: A Mixed Methods Study, Charles F. Perkins

CCAC Theses and Dissertations

Over the past two decades organizations have made considerable investment in implementing data warehousing and business intelligence to improve business performance through facts-based decision-making. Although many of these organizations reap the rewards of their investments, others find that realizing the full value proposition is elusive. While the literature is rich with studies regarding data warehousing and business intelligence, much of the existing research focused on the initial experiences of adoption and implementation, and few yielded empirical data that reflected post-implementation conditions that lead to mature capabilities and improved business performance. Sited at the Defense Intelligence Agency where data warehousing and …

Digitized Engineering Notebook, Bhargav Bolugoddu, Venkata Sharath Madamraju, Shamili Meneni, Anil Kuma Tanneru

All Capstone Projects

Digitized Engineering Notebook is a Web site application that simulates and transforms the characteristics of a paper notebook used for recording details of laboratory works into a digital version of such notebook. This is a web based application developed using the technologies like C#.Net, Asp.Net 4.0, Sql server 2014 as Database, JavaScript, CSS and few scripts and styles. Since the notebook is a permanent, documented and primary record of what you are doing in the laboratory: Digitized Engineering Notebook allows users to store records of text, data, and images to a database, and at the same time provides functionalities for …

Digitized Engineering Notebook, Sandeep Kumar Gudivada, Venkata Mahesh Kumar Gunturu, Bharat Vajrala

All Capstone Projects

Digitized Engineering Notebook is a fully operational web application which designed in a perspective to replace the traditional notebook of students with a complete digital feature. The noticeable functionalities of this project include front page with welcome message and a menu for navigation. The administrator will have access to edit the content in the database. The project leader and the team members can edit the content in the project. User will have option to create a new project or edit and can select existing project. Project leader will have accesses to add or remove members from the team and can …

Digitized Engineering Notebook, Naga Venkata Sandeep Kavuru, Shravan Kumar Redd Nareddy, Alekya Veeravalli, Ashwini Yarlagadda

All Capstone Projects

Digitized Engineering Notebook is a Web Based Application which is subject to the project status and their development reports and statistics. All the engineering students and professionals who work on the development of projects and mechanical applications maintain their notes and design process and other important attributes for the project. A General Engineering Notebook consists of Images, prototype sketches, development phases, data, and even text. These notebooks help the team members keep up with their work progress and make some important updates and notifications for themselves. However, this has a drop back by delaying the work and they take a …

Gsu Event Portal, Ram Mohan Reddy Annapureddy, Gaana Priya Appecherla, Sindhura Kanikanti, Harika Muthyala

All Capstone Projects

This is Event Portal for event registration provides organizers to create, promote, manage and sell events of all types and sizes. The platform is mobile friendly, simple-to-navigate interfaces and design flow to enable organizers to manage events, and help users browse events and buy tickets with ease, the fundamental thought behind plotting this application is that organizer can design events as indicated by his requirements, needs and spending plan. We designed database to effectively store, get to and keep up information from the database and can be utilized for future usage. Our Event Portal is particularly configured to diminish the …

Oasis - Identifying The Core Attributes For Rdbms Alternatives, Benjamin P. Mcpherson

College of Graduate Studies: Theses & Dissertations

Since their introduction in the 1970s, relational database management systems have served as the dominate data storage technology. However, the demands of big data and Web 2.0 necessitated a change in the market, sparking the beginning of the NoSQL movement in the late 2000s. NoSQL databases exchanged the relational model and the guaranteed consistency of ACID transactions for improved performance and massive scalability [1]. While the benefits NoSQL provided proved useful, the lack of sufficient SQL functionality presented a major hurdle for organizations which require it to properly operate. It was clear that new RDBMS solutions which did not compromise …

Robust Scale-Invariant Normalization And Similarity Measurement For Time Series Data, Ariyawat Chonbodeechalermroong

Chulalongkorn University Theses and Dissertations (Chula ETD)

Classification is one of the most prevalent tasks in time series mining. Dynamic Time Warping and Longest Common Subsequence are well-known and widely used algorithms to measure similarity between two time series sequences using non-linear alignment. However, these algorithms work best when the time series pair has similar amplitude scaling. Unfortunately, sensor data and most real-world time series data usually contain noise, missing values, outlier, and variability or scaling in both axes, which is not suitable for the widely used Z-normalization. This research introduces the Local Feature Normalization (LFN) and its Local Scaling Feature (LSF), which can be used to …

Factors Influencing Intention To Purchase Local Community Product On E-Commerce Website: Case Of One Tambon One Product (Otop) In Thailand, Krittika Akasarakul

Chulalongkorn University Theses and Dissertations (Chula ETD)

In Thailand, ICT and e-Commerce are using for supporting rural community people refer to Thailand policy framework which has the policy to expand the market and create opportunities in business. However, these communities mostly do not have their website to sell their products. They still have to rely on a web portal. Therefore, having the rural community official website and e-Commerce would expect to gain more attention and would be advantages to the community. Thus, in this research, we would like to study factors influencing customer's purchasing intention through internet shopping of One Tambon One Product (OTOP), derived from the …

Building A Dataset For Image Steganography, Chris Woolley, Ahmed Ibrahim, Peter Hannay

Australian Digital Forensics Conference

Image steganography and steganalysis techniques discussed in the literature rely on using a dataset(s)created based on cover images obtained from the public domain, through the acquisition of images from Internet sources, or manually. This issue often leads to challenges in validating, benchmarking, and reproducing reported techniques in a consistent manner. It is our view that the steganography/steganalysis research community would benefit from the availability of common datasets, thus promoting transparency and academic integrity. In this research, we have considered four aspects: image acquisition, pre-processing, steganographic techniques, and embedding rate in building a dataset for image steganography.

Iseek, A Tool For High Speed, Concurrent, Distributed Forensic Data Acquisition, Richard Adams, Graham Mann, Valerie Hobbs

Australian Digital Forensics Conference

Electronic discovery (also written as e-discovery or eDiscovery) and digital forensics are processes in which electronic data is sought, located, secured, and processed with the expectation that it may be used as evidence in legal proceedings. Electronic evidence plays a fundamental role in many aspects of litigation (Stanfield, 2009). However, both eDiscovery and digital forensic approaches that rely on the creation of an index as part of their processing are struggling to cope with the huge increases in hard disk storage capacity. This paper introduces a novel technology that meets the existing and future data volume challenges faced by practitioners …

Concept-Based Interactive Search System, Yi-Jie Lu, Phuong Anh Nguyen, Hao Zhang, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Our successful multimedia event detection system at TREC-VID 2015 showed its strength on handling complex concepts in a query. The system was based on a large number of pre-trained concept detectors for textual-to-visual relation. In this paper, we enhance the system by enabling human-in-the-loop. In order to facilitate a user to quickly find an information need, we incorporate concept screening, video reranking by highlighted concepts, relevance feedback and color sketch to refine a coarse retrieval result. The aim is to eventually come up with a system suitable for both Ad-hoc Video Search and Known-Item Search. In addition, as the increasing …

A Two-Sided Collaborative Transparent Display Supporting Workspace Awareness, Jiannan Li, Saul Greenberg, Ehud Sharlin

Research Collection School Of Computing and Information Systems

Transparent displays naturally support workspace awareness during face-to-face interactions. Viewers see another person’s actions through the display: gestures, gaze, body movements, and what one is manipulating on the display. Yet we can design even better collaborative transparent displays. First, collaborators on either side should be able to directly interact with workspace objects. Second, and more controversially, both sides should be capable of presenting different content. This affords: reversal of images/text in place (so that people on both sides see objects correctly); personal and private territories aligned atop each other; and GUI objects that provide different visuals for feedthrough vs. feedback. …

Intelligent Profiling Of Blood Donors In Ireland, Joanna Kossakowska

Theses

The demand for blood products in Ireland is constantly rising due to population growth and population ageing. It is believed that within the next decade these two factors will present challenges to blood donor recruitment and the availability of blood supplies. Improving the retention of blood donors will have a positive impact on the availability of blood products. Identification of suitable donors with the potential for long-term donating can potentially enhance the predictability of blood supply levels.

This research proposes that the patterns of blood donation behaviours of donors can be isolated from blood donor databases held by blood collecting …

Neural Network Predictions Of A Simulation-Based Statistical And Graph Theoretic Study Of The Board Game Risk, Jacob Munson

Murray State Theses and Dissertations

We translate the RISK board into a graph which undergoes updates as the game advances. The dissection of the game into a network model in discrete time is a novel approach to examining RISK. A review of the existing statistical findings of skirmishes in RISK is provided. The graphical changes are accompanied by an examination of the statistical properties of RISK. The game is modeled as a discrete time dynamic network graph, with the various features of the game modeled as properties of the network at a given time. As the network is computationally intensive to implement, results are produced …

Enhanced Breast Cancer Classification With Automatic Thresholding Using Support Vector Machine And Harris Corner Detection, Mohammad Taheri

Electronic Theses and Dissertations

Image classification and extracting the characteristics of a tumor are the powerful tools in medical science. In case of breast cancer medical treatment, the breast cancer classification methods can be used to classify input images as benign and malignant classes for better diagnoses and earlier detection with breast tumors. However, classification process can be challenging because of the existence of noise in the images, and complicated structures of the image. Manual classification of the images is timeconsuming, and need to be done only by medical experts. Hence using an automated medical image classification tool is useful and necessary. In addition, …

Adaptive Audio Classification Framework For In-Vehicle Environment With Dynamic Noise Characteristics, Haitham Alsaadan

Electronic Theses and Dissertations

With ever-increasing number of car-mounted electric devices that are accessed, managed, and controlled with smartphones, car apps are becoming an important part of the automotive industry. Audio classification is one of the key components of car apps as a front-end technology to enable human-app interactions. Existing approaches for audio classification, however, fall short as the unique and time-varying audio characteristics of car environments are not appropriately taken into account. Leveraging recent advances in mobile sensing technology that allows for an active and accurate driving environment detection, in this thesis, we develop an audio classification framework for mobile apps that categorizes …

Exploring Population Change Detection By Monitoring Effective Number Of Breeders, Brian Trethewey

Graduate Student Theses, Dissertations, & Professional Papers

Detecting if a population is in decline is an important objective for biologists and conservationists who are monitoring threatened populations. As genetic methods improve effective population size (N_e) and effective number of breeders (N_b) continue to gain popularity as a way to monitor species. Using simulated populations and linkage disequilibrium, we explored detecting population decline through N_b in age structured populations. Through comparisons of sensitivity (1 – false negatives) and specificity (1- false positives) over 1000 replicates, we explored how factors such as starting N_b, number of SNPs, number of individuals …

Mirage: A Novel Multiple Protein Sequence Alignment Tool, Alex Nord

Graduate Student Theses, Dissertations, & Professional Papers

A fundamental problem in computational biology is the organization of many related sequences into a multiple sequence alignment (MSA) [2]. MSAs have a range of research applications, such as inferring phylogeny [22] and identifying regions of conserved sequence that indicate functional similarity [18]. In the case of protein isoforms, MSAs are valuable tools for transitively annotating post-translational modifications (PTMs) by enabling information transfer between known PTM sites and the sites that they align to [11].

For protein MSA tools, one challenging biological phenomenon is alternative splicing, wherein identical genomic sequence will differentially select from a subset of available coding regions …

A Statistical Analytical Model For Hydrophilic Electropore Characterization: A Comparison Study, P. Marracino, M. Liberti, P.T. Vernier, F. Apollonio

Bioelectrics Publications

Molecular dynamics (MD) simulations have proved to be a useful tool for unveiling many aspects of pore formation in lipid membranes under the influence of external electric fields. In order to compare the size-related properties of pores in bilayers of various compositions, generated and maintained under different physical and chemical conditions, reference metrics are needed for characterizing pore geometry and its evolution over time. In the present paper three different methodologies for evaluating electropore geometrical behavior will be compared: (i) the first allows analysis of the dimensions of the pore through an algorithm that uses a Monte Carlo simulated annealing …

K-Mer Analysis Pipeline For Classification Of Dna Sequences From Metagenomic Samples, Russell Kaehler

Graduate Student Theses, Dissertations, & Professional Papers

Biological sequence datasets are increasing at a prodigious rate. The volume of data in these datasets surpasses what is observed in many other fields of science. New developments wherein metagenomic DNA from complex bacterial communities is recovered and sequenced are producing a new kind of data known as metagenomic data, which is comprised of DNA fragments from many genomes. Developing a utility to analyze such metagenomic data and predict the sample class from which it originated has many possible implications for ecological and medical applications. Within this document is a description of a series of analytical techniques used to process …