Computer Sciences Commons^™

Cloud Storage, Matthew G. Chaulklin

Senior Seminars

Technology is forever changing in our world today. The way in which we receive information must match the convenience of our current technology. As of now most information that is stored is often restricted to the site of the server when one wants to access it. Cloud storage can change this process by allowing users anywhere to access the information they need. This technology is a solution to our storage problems as it is convenient for any user to obtain information. Unfortunately this technology has various large problems, like security, but hopefully in the future these can be solved. Overall, …

Genetic Studies Of Complex Human Diseases: Characterizing Snp-Disease Associations Using Bayesian Networks, Bing Han, Xue-Wen Chen, Zohreh Talebizadeh, Hua Xu

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Detecting epistatic interactions plays a significant role in improving pathogenesis, prevention, diagnosis, and treatment of complex human diseases. Applying machine learning or statistical methods to epistatic interaction detection will encounter some common problems, e.g., very limited number of samples, an extremely high search space, a large number of false positives, and ways to measure the association between disease markers and the phenotype.

Results

To address the problems of computational methods in epistatic interaction detection, we propose a score-based Bayesian network structure learning method, EpiBN, to detect epistatic interactions. We apply the proposed method to both simulated datasets and …

Medical Data Analysis Method For Epilepsy, Ameen Eetemadi

Wayne State University Theses

Applying data mining techniques on medical databases which contain un-structured and semi-structured data is a challenging task. It is not only due to the complexity of such databases but also due to the characteristics of the medical domain. This thesis describes how multiple layers of data mining techniques have been applied to a Human Brain Image Database system. It starts with data preparation which paves the way for conventional data analysis techniques to be applied to the data. A similarity based patient retrieval tool has been designed and developed to assist in treatment planning and outcome estimation for epileptic patients. …

Truthful Mechanisms For Real-Time System Scheduling In Competitive Environments, Anwar Mohammadi

Wayne State University Theses

In a non-competitive environment, sporadic real-time task scheduling on a single processor is well understood. In this thesis, we consider a competitive environment comprising several real-time tasks vying for execution upon a shared single processor. Each task obtains a value if the processor successfully schedules all its jobs. Our objective is to select a feasible subset of these tasks to maximize the sum of values of selected tasks. We consider both dynamic-priority and static-priority scheduling algorithms. There are algorithms for solving these problems in non-competitive settings. However, we consider these problems in an economic setting in which each task is …

Cs 209-01: Computer Programming For Business Ii, David M. Hutchison

Computer Science & Engineering Syllabi

CS 209 is the second in a sequence of two programming classes required for MIS majors. This course will continue teaching students to the basic concepts of programming. Examples are from business applications and emphasis is on problem solving with the computer as a tool.

Cs 400/600-01: Date Structures And Algorithms, Keke Chen

Computer Science & Engineering Syllabi

This course will cover the fundamentals of algorithm design and analysis, the implementation of classical data structures and control structures, and the basic problem solving techniques.

Cs 707-01: Information Retrieval, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will cover models for information retrieval techniques for indexing and searching, and algorithms for classification and clustering. It will also cover SVM, latent semantic indexing, link analysis and ranking, Map-Reduce architecture and Hadoop, to different degrees of detail, time penning.

Ceg 411/611: Microprocessor-Based System Design, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 498: Design Experience, Thomas C. Hartrum

Computer Science & Engineering Syllabi

CEG 498 (Team Projects I and II) is a summative computer engineering design project course that builds upon previous engineering, science, mathematics and communications course work. CEG 498 projects are a minimum of two quarters in length and must be completed in groups of at least three students.

Loss Of Dnmt3b Function Upregulates The Tumor Modifier Ment And Accelerates Mouse Lymphomagenesis, Ryan A. Hlady, Slavomira Novakova, Jana Opavska, David Klinkebiel, Staci L. Peters, Juraj Bies, Jay Hannah, Javeed Iqbal, Kristi M. Anderson, Hollie M. Siebler, Lynette M. Smith, Timothy C. Greiner, Dhundy Bastola, Shantaram Joshi, Oksana Lockridge, Melanie A. Simpson, Dean W. Felsher, Kay-Uwe Wagner, Wing C. Chan, Judith K. Christman, Rene Opavsky

Interdisciplinary Informatics Faculty Publications

DNA methyltransferase 3B (Dnmt3b) belongs to a family of enzymes responsible for methylation of cytosine residues in mammals. DNA methylation contributes to the epigenetic control of gene transcription and is deregulated in virtually all human tumors. To better understand the generation of cancer-specific methylation patterns, we genetically inactivated Dnmt3b in a mouse model of MYC-induced lymphomagenesis. Ablation of Dnmt3b function using a conditional knockout in T cells accelerated lymphomagenesis by increasing cellular proliferation, which suggests that Dnmt3b functions as a tumor suppressor. Global methylation profiling revealed numerous gene promoters as potential targets of Dnmt3b activity, the majority of which were …

Analysis Of Information And Communications Technology Adoption Between Small Businesses In China And The United States, Jie Xiong, Sajda Qureshi

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

This paper reports on two case studies, the Information and Communications Technology (ICT) adoption among small businesses conducted in both United States and China. One small business from Nebraska (United States of America) and one small business from Sichuan (China) were chosen for comparison. The purpose of this paper is to conduct a comparative case study based on the ICT adoption among small businesses in China and the United States. This paper will: (i) build an understanding of small business ICT in both areas, (ii) explore the relationship between the ICT development in less cutting-edge areas of China and the …

Towards Cloud Mobile Hybrid Application Generation Using Semantically Enriched Domain Specific Languages, Ajith Harshana Ranabahu, Amit P. Sheth, Ashwin Manjunatha, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The advancements in computing have resulted in a boom of cheap, ubiquitous, connected mobile devices as well as seemingly unlimited, utility style, pay as you go computing resources, commonly referred to as Cloud computing. Taking advantage of this computing landscape, however, has been hampered by the many heterogeneities that exist in the mobile space as well as the Cloud space.

This research attempts to introduce a disciplined methodology to develop Cloud-mobile hybrid applications by using a Domain Specific Language (DSL) centric approach to generate applications. A Cloud-mobile hybrid is an application that is split between a Cloud based back-end and …

Resident Identification Using Kinect Depth Image Data And Fuzzy Clustering Techniques, Tanvi Banerjee, James M. Keller, Marjorie Skubic

Kno.e.sis Publications

As a part of our passive fall risk assessment research in home environments, we present a method to identify older residents using features extracted from their gait information from a single depth camera. Depth images have been collected continuously for about eight months from several apartments at a senior housing facility. Shape descriptors such as bounding box information and image moments were extracted from silhouettes of the depth images. The features were then clustered using Possibilistic C Means for resident identification. This technology will allow researchers and health professionals to gather more information on the individual residents by filtering out …

Measuring Defect Datasets Sensitivity To Attributes Variation, Izzat M. Alsmadi

Computer Science Faculty Publications (Archived)

The study of the correlation between software project and product attributes and its modules quality status (faulty or not) is the subject of several research papers in the software testing and maintenance fields. In this paper, a tool is built to change the values of software data sets' attributes and study the impact of this change on the modules' defect status. The goal is to find those specific attributes that highly correlate with the module defect attribute. An algorithm is developed to automatically predict the module defect status based on the values of the module attributes and based on their …

Implementation And Assessment Of A Virtual Reality Experiment In The Undergraduate Themo-Fluids Laboratory, Sushil Chaturvedi, Jaewan Yoon, Rick Mckenzie, Petros J. Katsioloudis, Hector M. Garcia, Shuo Ren

Mechanical & Aerospace Engineering Faculty Publications

Results are presented from an NSF supported project that is geared towards advancing the development and use of virtual reality (VR) laboratories, designed to emulate the learning environment of physical laboratories. As part of this project, an experiment in the undergraduate thermo-fluids laboratory course titled "Jet Impact Force" was transformed into a 3-D virtual reality experiment using the widely used MAYA R and VIRTOOLS R software. In order to facilitate students' interactions with the newly created 3-D interactive, immersive and stereoscopic virtual laboratory environment, the human computer interfaces (HCI) were programmed and incorporated in the simulation software. Two immersion levels …

The Application Of Fuzzy Granular Computing For The Analysis Of Human Dynamic Behavior In 3d Space, Murad Mohammad Alaqtash

Open Access Theses & Dissertations

Human dynamic behavior in space is very complex in that it involves many physical, perceptual and motor aspects. It is tied together at a sensory level by linkages between vestibular, visual and somatosensory information that develop through experience of inertial and gravitational reaction forces. Coordinated movement emerges from the interplay among descending output from the central nervous system, sensory input from the body and environment, muscle dynamics, and the emergent dynamics of the whole neuromusculoskeletal system.

There have been many attempts to directly capture the activities of the neuronal system in human locomotion without the ability to clarify how the …

Adding Within-Utterance Emotion Decay For More Human-Like Dialog, Michael Hans Durcholz

Open Access Theses & Dissertations

While spoken dialog systems have been used for commercial applications for several decades, most commercial spoken dialog systems provide only simple information exchange capabilities. Emotion synthesis in spoken dialog systems has become an active research area recently, and use of emotion-adaptive dialog systems has demonstrated improvements in user experience and rapport. This thesis seeks to improve how emotions are conveyed in dialog systems to enable robust emotional support that improves user experiences with dialog systems and models human speech characteristics more accurately than current dialog systems.

Prior work with Gracie (GRAduate Coordinator with Immediate response Emotions), an emotion-adaptive dialog system, …

Extraction Of Text Objects In Image And Video Documents, Jing Zhang

USF Tampa Graduate Theses and Dissertations

The popularity of digital image and video is increasing rapidly. To help users navigate libraries of image and video, Content Based Information Retrieval (CBIR) system that can automatically index image and video documents are needed. However, due to the semantic gap between low-level machine descriptors and high-level semantic descriptors, the existing CBIR systems are still far from perfect. Text embedded in multi-media data, as a well-defined model of concepts for humans' communication, contains much semantic information related to the content. This text information can provide a much truer form of content-based access to the image and video documents if it …

Using Agent-Based Modeling To Simulate The Foreclosure Contagion Effect, Andrew J. Collins, Michael J. Seiler

Engineering Management & Systems Engineering Faculty Publications

A foreclosed property can have a negative impact on the prices of other properties within its neighborhood and these reduced property prices can lead to further foreclosures within the neighborhood; this is known as the foreclosure contagion effect. This effect has been demonstrated, within the real estate literature, to occur. Traditionally, real estate research have used statistical regression to analysis this issues. The application of Agent-based Modeling and Simulation (ABMS) has risen in the last 15 years and has successfully been used to model complexity situations, e.g., the real estate market. ABMS offers a way to explore the impact of …

An Exploratory Study Of A User's Facebook Security And Privacy Settings, Brandon Charles Hoffmann

All Graduate Theses, Dissertations, and Other Capstone Projects

There are many potential security risks with social networking sites and the individuals who use them. These sites have been adopted by people of all ages worldwide, empowering new opportunities for the presentation of the self-learning, construction of a wide circle of relationships, and the management of privacy and intimacy. This study analyses the effect of social networking security practices, more specifically Facebook and its security and privacy settings. We identify four hypotheses: The more important Facebook users believe security is an important factor in choosing a social network, the more often they will change their security settings, the more …

Efficient And Scalable Evaluation Of Continuous, Spatio-Temporal Queries In Mobile Computing Environments, Jonathan M. Cazalas

Electronic Theses and Dissertations

A variety of research exists for the processing of continuous queries in large, mobile environments. Each method tries, in its own way, to address the computational bottleneck of constantly processing so many queries. For this research, we present a two-pronged approach at addressing this problem. Firstly, we introduce an efficient and scalable system for monitoring traditional, continuous queries by leveraging the parallel processing capability of the Graphics Processing Unit. We examine a naive CPU-based solution for continuous range-monitoring queries, and we then extend this system using the GPU. Additionally, with mobile communication devices becoming commodity, location-based services will become ubiquitous. …

A Joint Replication-Migration-Based Routing In Delay Tolerant Networks, Yunsheng Wang, Jie Wu, Zhen Jiang, Feng Li

Computer Science Faculty Publications

No abstract provided.

A Quick And Reliable Routing For Infrastructure Surveillance With Wireless Sensor Networks, Zhen Jiang, Jie Wu, Minyi Guo, Zhenping Zhao, Donghong Wu

Computer Science Faculty Publications

No abstract provided.

Minimum Latency Broadcasting With Conflict Awareness In Wireless Sensor Networks, Zhen Jiang, Donghong Wu, Minyi Guo, Jie Wu, Robert Kline, Xin Wang

Computer Science Faculty Publications

No abstract provided.

An Exhibit Wordle, Allison Marsh

Handouts

No abstract provided.

A Crossword Puzzle For Kids, Allison Marsh

Handouts

No abstract provided.

Word Find, Allison Marsh

Handouts

No abstract provided.

Images From The Exhibit, Page 1, Allison Marsh

Handouts

No abstract provided.

Lesson Plans, Activities, And Further Reading, Allison Marsh

Handouts

No abstract provided.

Title Panel, Allison Marsh

Section 1: Introduction

No abstract provided.