Computer Sciences Commons^™

Industrial Wireless Sensor Networks, Shancang Li, Hongjian Sun, Arumugam Nallanathan, Li Xu, Shanshan Zhao, Qindong Sun

Information Technology & Decision Sciences Faculty Publications

(First Paragraph) Industrial wireless sensor networks (IWSNs) incorporate wireless sensor networks with intelligent industrial systems providing many advantages over existing industrial applications, such as wireless communication, low cost, rapid deployment, self-organization, intelligent controlling, and processing capability. With the proliferation of wireless sensor networks in industrial applications, IWSNs technologies promise to play a significant role in developing more reliable, efficient, stable, flexible, and application-centric industrial systems.

Statistical Analysis Of The Variability And Reliability Of Eye-Tracking Test In Measuring Mild Traumatic Brain Injury, Xi He

Honors Theses

Saccadic eye-tracking tests have been advocated as a useful tool to distinguish mTBI patients from healthy people. However, intra-individual variances sometimes interfere with the interpretation of eye-tracking results, especially in experiments when group size is restricted. This study analyzes eye-tracking results of 14 mTBI patients taking the test twice with no medical administration in between. Using more accurate models to fit each individual's result, variables such as asymptote (of the fit func­tions) and hypothetical values for peak velocity, peak acceleration, and duration are derived for variability analysis. We conclude that the asymptotes for peak velocity and peak acceleration are the …

Visual Analysis Of Extremely Dense Crowded Scenes, Haroon Idrees

Electronic Theses and Dissertations

Visual analysis of dense crowds is particularly challenging due to large number of individuals, occlusions, clutter, and fewer pixels per person which rarely occur in ordinary surveillance scenarios. This dissertation aims to address these challenges in images and videos of extremely dense crowds containing hundreds to thousands of humans. The goal is to tackle the fundamental problems of counting, detecting and tracking people in such images and videos using visual and contextual cues that are automatically derived from the crowded scenes. For counting in an image of extremely dense crowd, we propose to leverage multiple sources of information to compute …

Gui: Gps-Less Traffic Congestion Avoidance In Urban Areas With Inter-Vehicular Communication, Zhen Jiang, Jie Wu, Paul Sabatino

Computer Science Faculty Publications

No abstract provided.

Taking Stock After Four Years, Fred H. Cate, Christopher Kuner, Christopher Millard, Dan Jerker B. Svantesson

Articles by Maurer Faculty

No abstract provided.

Using Noninvasive Brain Measurement To Explore The Psychological Effects Of Computer Malfunctions On Users During Human-Computer Interactions, Leanne M. Hirshfield, Philip Bobko, Alex Barelka, Stuart H. Hirshfield, Mathew T. Farrington, Spencer Gulbronson, Diane Paverman

Management Faculty Publications

In today’s technologically driven world, there is a need to better understand the ways that common computer malfunctions affect computer users. These malfunctions may have measurable influences on computer user’s cognitive, emotional, and behavioral responses. An experiment was conducted where participants conducted a series of web search tasks while wearing functional nearinfrared spectroscopy (fNIRS) and galvanic skin response sensors. Two computer malfunctions were introduced during the sessions which had the potential to influence correlates of user trust and suspicion. Surveys were given after each session to measure user’s perceived emotional state, cognitive load, and perceived trust. Results suggest that fNIRS …

Faults Identification In Three-Phase Induction Motors Using Support Vector Machines, Rama Hammo

Master of Technology Management Plan II Graduate Projects

Induction motor is one of the most important motors used in industrial applications. The operating conditions may sometime lead the machine into different fault situations. The main types of external faults experienced by these motors are over loading, single phasing, unbalanced supply voltage, locked rotor, phase reversal, ground fault, under voltage and over voltage. The machine should be shut down when a fault is experienced to avoid damage and for the safety of the workers. Computer based relays monitor the machine and disconnect it during the faults. The relay logic used to identify these faults requires sophisticated signal processing techniques …

Deliberate Barriers To User Participation On Metafilter, Hannah Pileggi, Briana B. Morrison, Amy Bruckman

Computer Science Faculty Publications

This descriptive study explores deliberate barriers to user participation on the long-lived discussion site Metafilter.com. Metafilter has been in continuous operation since its founding in 1999, and at the time of this writing has around 12,000 active users. While many newer online sites appear eager to eliminate barriers to participation and recruit as many new members as possible, Metafilter charges a $5 fee to join and has a mandatory one-week waiting period before new users are allowed to post. In this paper, we explore both why these barriers were imposed and why some users choose to surmount the barriers to …

Abstract Modular Inference Systems And Solvers, Yuliya Lierler, Miroslaw Truszczyński

Computer Science Faculty Proceedings & Presentations

Integrating diverse formalisms into modular knowledge representation systems offers increased expressivity, modeling convenience and computational benefits. We introduce the concepts of abstract inference modules and abstract modular inference systems to study general principles behind the design and analysis of model-generating programs, or solvers, for integrated multilogic systems.We show how modules and modular systems give rise to transition graphs, which are a natural and convenient representation of solvers, an idea pioneered by the SAT community. We illustrate our approach by showing how it applies to answer-set programming and propositional logic, and to multi-logic systems based on these two formalisms.

Toward Visualization-Specific Heuristic Evaluation, Alvin E. Tarrell, Camilla Forsell, Ann L. Fruhling, Georges Grinstein, Rita Borgo, Jean Scholtz

Interdisciplinary Informatics Faculty Proceedings & Presentations

This position paper describes heuristic evaluation as it relates to visualization and visual analytics. We review heuristic evaluation in general, then comment on previous process-based, performance-based, and framework-based efforts to adapt the method to visualization-specific needs. We postulate that the framework-based approach holds the most promise for future progress in development of visualization-specific heuristics, and propose a specific framework as a starting point. We then recommend a method for community involvement and input into the further development of the heuristic framework and more detailed design and evaluation guidelines.

Identifying Aging-Related Genes In Mouse Hippocampus Using Gateway Nodes, Kathryn Dempsey Cooper, Hesham Ali

Interdisciplinary Informatics Faculty Publications

Background: High-throughput studies continue to produce volumes of metadata representing valuable sources of information to better guide biological research. With a stronger focus on data generation, analysis models that can readily identify actual signals have not received the same level of attention. This is due in part to high levels of noise and data heterogeneity, along with a lack of sophisticated algorithms for mining useful information. Networks have emerged as a powerful tool for modeling high-throughput data because they are capable of representing not only individual biological elements but also different types of relationships en masse. Moreover, well-established graph …

Effects Of The Digital Divide: Evidence From African-American And Native-American Owned Micro-Enterprises, Jie Xiong, Sajda Qureshi, Teresa Trumbly Lamsam

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

Information and Communication Technologies (ICTs) have often been touted as a means of enabling people to make their way out of poverty. While there are success stories of people in Africa who have been able to access and use mobile and Internet-based Technologies to build businesses that give them better livelihoods, it is unclear how these technologies are being used by African American and Native American entrepreneurs in the United States. Pockets of low connectivity and lack of awareness or technical skills mean that some entrepreneurs are unable to take advantage of the opportunities provided by ICTs in the United …

Introduction To The Information Technology For Development Minitrack, Mehruz Kamal, Sajda Qureshi, James B. Pick

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

Information Technology for Development (ITD) research focuses on the use of information technology infrastructures to bring about economic, social, and human development. In essence, the ITD research provides insight for policy makers to facilitate the achievement of socio-economic development goals by increasing financial investments and stimulating business activities in their regions. Papers in this mini-track are invited for consideration in the ITD Journal which makes contributions in ITD research to what is known about improvements in the lives of people through their use of ICTs. In particular, innovative applications of IT in under-privileged regions, where resources are limited, comprise research …

A Cluster Analysis Of Research In Information Technology For Global Development: Where To From Here?, Jie Xiong, Sajda Qureshi, Lotfollah Najjar

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

While research in Information Systems recognizes the importance of Information Technology in a global context, it continues to focus on a narrow view of IT adoption. In recognizing that the majority of innovations in IT are taking place in developing countries, it is important to find out what research is being undertaken to understand the effects of the different technologies on development outcomes. This paper conducts a cluster analysis of 214 papers from the SigGlobDev Workshop, the Information Technology for Development Journal and other Information Systems Journals and conferences which have published papers in Information Systems and Global Development. This …

Sketchart: A Pen-Based Tool For Chart Generation And Interaction., Andres Vargas Gonzalez

Electronic Theses and Dissertations

It has been shown that representing data with the right visualization increases the understanding of qualitative and quantitative information encoded in documents. However, current tools for generating such visualizations involve the use of traditional WIMP techniques, which perhaps makes free interaction and direct manipulation of the content harder. In this thesis, we present a pen-based prototype for data visualization using 10 different types of bar based charts. The prototype lets users sketch a chart and interact with the information once the drawing is identified. The prototype's user interface consists of an area to sketch and touch based elements that will …

Energy Efficient Routing Towards A Mobile Sink Using Virtual Coordinates In A Wireless Sensor Network, Rouhollah Rahmatizadeh

Electronic Theses and Dissertations

The existence of a coordinate system can often improve the routing in a wireless sensor network. While most coordinate systems correspond to the geometrical or geographical coordinates, in recent years researchers had proposed the use of virtual coordinates. Virtual coordinates depend only on the topology of the network as defined by the connectivity of the nodes, without requiring geographical information. The work in this thesis extends the use of virtual coordinates to scenarios where the wireless sensor network has a mobile sink. One reason to use a mobile sink is to distribute the energy consumption more evenly among the sensor …

Computation Of Boolean Formulas Using Sneak Paths In Crossbar Computing, Alvaro Velasquez

HIM 1990-2015

Memristor-based nano-crossbar computing is a revolutionary computing paradigm that does away with the traditional Von Neumann architectural separation of memory and computation units. The computation of Boolean formulas using memristor circuits has been a subject of several recent investigations. Crossbar computing, in general, has also been a topic of active interest, but sneak paths have posed a hurdle in the design of pervasive general-purpose crossbar computing paradigms. In this paper, we demonstrate that sneak paths in nano-crossbar computing can be exploited to design a Boolean-formula evaluation strategy. We demonstrate our approach on a simple Boolean formula and a 1-bit addition …

Automatic 3d Human Modeling: An Initial Stage Towards 2-Way Inside Interaction In Mixed Reality, Yiyan Xiong

Electronic Theses and Dissertations

3D human models play an important role in computer graphics applications from a wide range of domains, including education, entertainment, medical care simulation and military training. In many situations, we want the 3D model to have a visual appearance that matches that of a specific living person and to be able to be controlled by that person in a natural manner. Among other uses, this approach supports the notion of human surrogacy, where the virtual counterpart provides a remote presence for the human who controls the virtual character's behavior. In this dissertation, a human modeling pipeline is proposed for the …

Exploring Sparsity, Self-Similarity, And Low Rank Approximation In Action Recognition, Motion Retrieval, And Action Spotting, Chuan Sun

Electronic Theses and Dissertations

This thesis consists of 4 major parts. In the first part (Chapters 1-2), we introduce the overview, motivation, and contribution of our works, and extensively survey the current literature for 6 related topics. In the second part (Chapters 3-7), we explore the concept of "Self-Similarity" in two challenging scenarios, namely, the Action Recognition and the Motion Retrieval. We build three-dimensional volume representations for both scenarios, and devise effective techniques that can produce compact representations encoding the internal dynamics of data. In the third part (Chapter 8), we explore the challenging action spotting problem, and propose a feature-independent unsupervised framework that …

Measuring Security: A Challenge For The Generation, Janusz Zalewski, Steven Drager, William Mckeever, Andrew J. Kornecki

Department of Electrical Engineering and Computer Science - Daytona Beach

This paper presents an approach to measuring computer security understood as a system property, in the category of similar properties, such as safety, reliability, dependability, resilience, etc. First, a historical discussion of measurements is presented, beginning with views of Hermann von Helmholtz in his 19th century work “Zählen und Messen”. Then, contemporary approaches related to the principles of measuring software properties are discussed, with emphasis on statistical, physical and software models. A distinction between metrics and measures is made to clarify the concepts. A brief overview of inadequacies of methods and techniques to evaluate computer security is presented, followed by …

Study Of Touch Gesture Performance By Four And Five Year-Old Children: Point-And-Touch, Drag-And-Drop, Zoom-In And Zoom-Out, And Rotate, Zainab Hamza

All Graduate Theses, Dissertations, and Other Capstone Projects

Past research has focused on children's interaction with computers through mouse clicks, and mouse research studies focused on point-and-click and drag-and-drop. However, More research is necessary in regard to children's ability to perform touch gestures such as point-and-touch, drag-and-drop, zoom-in and zoom-out, and rotate. Furthermore, research should consider specific gestures such as zoom-in and zoom-out, and rotate tasks for young children. The aim of this thesis is to study the ability of 4 and 5 year-old children to interact with touch devices and perform tasks such as: point-and-touch, drag-and-drop, zoom-in and zoom-out, and rotate. This thesis tests an iPad application …

Supporting And Securing Personal Mobile Devices Within An Existing Information Technology Environment, George Allen Patton

Walden Dissertations and Doctoral Studies

Personal mobile devices are becoming integrated into the daily operations of business. Managers are realizing that employees who are allowed to use personal mobile devices to access corporate information systems may reduce costs as users buy their own devices. The problem was that managers have a limited understanding of the need to secure or support personal mobile devices. The purpose of this survey study was to examine the relationship between employees' desire to use personal mobile devices and corporation needs for security and support. Hypotheses were tested by examining the relationships between the requirement to support and secure personal mobile …

Segmentation And Spatial Depth Ridge Detection Of Unorganized Point Cloud Data, James Clark Church

Electronic Theses and Dissertations

Visual 3D data are of interest to a number of fields: medical professionals, game designers, graphic designers, and (in the interest of this paper) ichthyologists interested in the taxonomy of fish. Since the release of the Kinect for the Microsoft XBox, game designers have been interested in using the 3D data returned by the device to understand human movement and translate that movement into an interface with which to interact with game systems. In the medical field, researchers must use computer vision tools to navigate through the data found in CT scans and MRI scans. These tools must segment images …

Is Your Online Data Really Private?, Nathan Pitchaikani

A with Honors Projects

In the present age everyone depends on technology. At least once per day someone uses a machine to help them accomplish their tasks. For example, imagine not using a cell phone for a whole day. These days, machines contain personal information or data about their owner. In most cases this isn’t an issue. However, with technology becoming more advanced day by day, there has become a reason to worry. People are able to illegally enter other people’s computers and steal information. Leading to the point that being able to protect one’s personal data is crucial. Learning how to safeguard one’s …

Performance Improvement Of Distributed Computing Framework And Scientific Big Data Analysis, Praveenkumar Kondikoppa

LSU Doctoral Dissertations

Analysis of Big data to gain better insights has been the focus of researchers in the recent past. Traditional desktop computers or database management systems may not be suitable for efficient and timely analysis, due to the requirement of massive parallel processing. Distributed computing frameworks are being explored as a viable solution. For example, Google proposed MapReduce, which is becoming a de facto computing architecture for Big data solutions. However, scheduling in MapReduce is coarse grained and remains as a challenge for improvement. Related with MapReduce scheduler when configured over distributed clusters, we identify two issues: data locality disruption and …

Search-Based Model-Driven Loop Optimizations For Tensor Contractions, Ajay Panyala

LSU Doctoral Dissertations

Complex tensor contraction expressions arise in accurate electronic structure models in quantum chemistry, such as the coupled cluster method. The Tensor Contraction Engine (TCE) is a high-level program synthesis system that facilitates the generation of high-performance parallel programs from tensor contraction equations. We are developing a new software infrastructure for the TCE that is designed to allow experimentation with optimization algorithms for modern computing platforms, including for heterogeneous architectures employing general-purpose graphics processing units (GPGPUs). In this dissertation, we present improvements and extensions to the loop fusion optimization algorithm, which can be used with cost models, e.g., for minimizing memory …

Space-Efficient Data Structures For String Searching And Retrieval, Sharma Valliyil Thankachan

LSU Doctoral Dissertations

Let D = {d_1, d_2, ...} be a collection of string documents of n characters in total, which are drawn from an alphabet set Sigma =[sigma] ={1,2,3,...sigma}. The top-k document retrieval problem is to maintain D as a data structure, such that when ever a query Q=(P, k) comes, we can report (the identifiers of) those k documents that are most relevant to the pattern P (of p characters). The relevance of a document d_r with respect to a pattern P is captured by score(P, d_r), which can be any function of the set of locations where P occurs in …

Mqvc: Measuring Quranic Verses Similarity And Sura Classification Using N-Gram, Mohammed Akour, Izzat Alsmadi, Iyad Alazzam

Computer Science Faculty Publications and Presentations

Extensive research efforts in the area of Information Retrieval were concentrated on developing retrieval systems related to Arabic language for the different natural language and information retrieval methodologies. However, little effort was conducted in those areas for knowledge extraction from the Holly Muslim book, the Quran. In this paper, we present an approach (MQVC) for retrieving the most similar verses in comparison with a user input verse as a query. To demonstrate the accuracy of our approach, we performed a set of experiments and compared the results with an evaluation from a Quran Specialist who manually identified all relevant chapters …

Dynamic Simulation Of The Effect Of Tamper Resistance On Opioid Misuse Outcomes, Alexandra E. Nielsen, Wayne Wakeland

Complex Systems Faculty Publications and Presentations

The objective of the study was to develop a system dynamics model of the medical use of pharmaceutical opioids, and the associated diversion and nonmedical use of these drugs. The model was used to test the impact of the a tamper resistance intervention in this complex system. The study relied on secondary data obtained from the literature and from other public sources for the period 1995 to 2008. In addition, an expert panel provided recommendations regarding model parameters and model structure. The behavior of the resulting systems-level model compared favorably with reference behavior data. After the base model was tested, …

Richardson Extrapolation-Based High Accuracy High Efficiency Computation For Partial Differential Equations, Ruxin Dai

Theses and Dissertations--Computer Science

In this dissertation, Richardson extrapolation and other computational techniques are used to develop a series of high accuracy high efficiency solution techniques for solving partial differential equations (PDEs).

A Richardson extrapolation-based sixth-order method with multiple coarse grid (MCG) updating strategy is developed for 2D and 3D steady-state equations on uniform grids. Richardson extrapolation is applied to explicitly obtain a sixth-order solution on the coarse grid from two fourth-order solutions with different related scale grids. The MCG updating strategy directly computes a sixth-order solution on the fine grid by using various combinations of multiple coarse grids. A multiscale multigrid (MSMG) method …