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2017

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Articles 1981 - 2010 of 2767

Full-Text Articles in Computer Sciences

From The National Cyber Maturity To The Cyber Resilience: The Lessons Learnt From The Efforts Of Turkey, Bilge Karabacak, Unal Tatar Jan 2017

From The National Cyber Maturity To The Cyber Resilience: The Lessons Learnt From The Efforts Of Turkey, Bilge Karabacak, Unal Tatar

All Faculty and Staff Scholarship

In this paper, the details of critical infrastructure protection program of United States of America are shared by taking the cyber resilience into account. The academic and institutional studies on the concepts of cyber maturity, critical infrastructure protection program and cyber resilience are explained in detail. By the help of these studies and national efforts, the relations among these concepts are proposed. The key components of a cyber security strategy and action plan for a cyber resilient society is proposed by taking these three concepts into account. As the final step, the recent cyber security efforts of Turkey is shared …

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Earning A Seat At The Table: How It Departments Can Partner In Organizational Change And Innovation, Robert L. Moore, Nathan Johnson Jan 2017

Earning A Seat At The Table: How It Departments Can Partner In Organizational Change And Innovation, Robert L. Moore, Nathan Johnson

STEMPS Faculty Publications

Few would argue that the information technology department (ITD) is not an essential part of an organization. It is hard to envision a project that does not need the support of the ITD. Despite this importance, the ITD is not always involved in the management of projects. Often, the ITD is brought into the project late in the planning and development process. In many cases, the inclusion of the ITD in an advanced project stage can result in project failure where early involvement could have prevented it. Why is it that ITDs, while clearly a vital part of project implementation, …

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Machine Learning With Personal Data: Is Data Protection Law Smart Enough To Meet The Challenge?, Fred H. Cate, Christopher Kuner, Dan Jerker B. Svantesson, Orla Lynskey, Christopher Millard Jan 2017

Machine Learning With Personal Data: Is Data Protection Law Smart Enough To Meet The Challenge?, Fred H. Cate, Christopher Kuner, Dan Jerker B. Svantesson, Orla Lynskey, Christopher Millard

Articles by Maurer Faculty

No abstract provided.

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Evaluating Network Test Scenarios For Network Simulators Systems, A. Zarrad, Izzat M. Alsmadi Jan 2017

Evaluating Network Test Scenarios For Network Simulators Systems, A. Zarrad, Izzat M. Alsmadi

Computer Science Faculty Publications (Archived)

Networks continue to grow as industries use both wired and wireless networks. Creating experiments to test those networks can be very expensive if conducted on production networks; therefore, the evaluation of networks and their performance is usually conducted using emulation. This growing reliance on simulation raises the risk of correctness and validation. Today, many network simulators have widely varying focuses and are employed in different fields of research. The trustworthiness of results produced from simulation models must be investigated. The goal of this work is first to compare and assess the performance of three prominent network simulators—NS-2, NS-3, and OMNet++—by …

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Online Integrity And Authentication Checking For Quran Electronic Versions, Izzat M. Alsmadi, M. Zarour Jan 2017

Online Integrity And Authentication Checking For Quran Electronic Versions, Izzat M. Alsmadi, M. Zarour

Computer Science Faculty Publications (Archived)

The ability to control data and information through the Internet can be challenging. Preliminary analysis showed that some tampering and forgery may occur to some words of the Quran in the electronic versions that span the Internet. Such small modifications may not be noticed by public audience. The holy book of Quran includes a unique feature in that its worldwide copies are all identical. The 114 chapters (Suras) and all their verses and words are preserved in the exact form. As such, we designed and evaluated a model and a tool to evaluate the integrity of the wording in the …

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Knowledge Activation For Patient Centered Care: Bridging The Health Information Technology Divide, Sajda Qureshi, Cherie Notebloom Jan 2017

Knowledge Activation For Patient Centered Care: Bridging The Health Information Technology Divide, Sajda Qureshi, Cherie Notebloom

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

The provision of healthcare is a collaborative process. It follows evidence based treatments which are becoming increasingly data driven and focusing on the best clinical outcomes. Patient centered care requires participation of patients in the decision making of the best treatment options. Healthcare provision requires both evidence based and patient centered care. In practice, these two perspectives conflict with each other due to the use of an information technology designed primarily for billing purposes. Using the knowledge activation framework developed by Qureshi and Keen [25], we analyze data from two hospitals in the Midwest that aim to achieve quality of …

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Understanding The Role Of Information Technology In The Development Of Micro-Enterprises: Concepts To Study In Making A Better World, Sajda Qureshi, Jason Jie Xiong Jan 2017

Understanding The Role Of Information Technology In The Development Of Micro-Enterprises: Concepts To Study In Making A Better World, Sajda Qureshi, Jason Jie Xiong

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

The concept of Development has alluded scholars and practitioners when information technology becomes prevalent. The majority of research in the Information Technology for Development (ICT4D) field is considered to be practice intended to make the world better with Information and Communications technologies (ICTs). In addition, a majority of wellintentioned ICT4D projects tend to fail, often due to unrealistic expectation set by development agencies responding to their political objectives. At the same time, Information Systems (IS) research is ripe with well-studied concepts that do little to make a better world. This paper investigates ICT interventions in three case studies of micro-enterprises …

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Using Embedded Mixed Methods In Studying Is Phenomena: Risks And Practical Remedies With An Illustration, Xiaodan Yu, Deepak Khazanchi Jan 2017

Using Embedded Mixed Methods In Studying Is Phenomena: Risks And Practical Remedies With An Illustration, Xiaodan Yu, Deepak Khazanchi

Information Systems and Quantitative Analysis Faculty Publications

Drawing on lessons learned from a mixed-methods research project, we illustrate how mixed research approaches are fruitful in studying the complexities and interactions inherent in IS phenomena, which is particularly relevant when one investigates relatively new and “messy” phenomena in that many opportunities for errors and omissions can arise. Mixed-methods research designs can also prove to be valuable in exploratory or new areas of research and provide empirical evidence from multiple sources and types of data that one can truly triangulate. In this paper, we discuss the risks associated with using a specific mixed-methods research strategy (i.e., embedded mixed-methods design) …

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Mitigation Of Cognitive Bias With A Serious Game: Two Experiments Testing Feedback Timing And Source, Norah E. Dunbar, Matthew L. Jensen, Elena Bessarabova, Yu-Hao Lee, Scott N. Wilson, Javier Elizondo, Bradley J. Adame, Joseph Valacich, Sara Straub, Judee K. Burgoon, Brianna Lane, Cameron W. Piercy, David Wilson, Shawn King, Cindy Vincent, Ryan Schuetzler Jan 2017

Mitigation Of Cognitive Bias With A Serious Game: Two Experiments Testing Feedback Timing And Source, Norah E. Dunbar, Matthew L. Jensen, Elena Bessarabova, Yu-Hao Lee, Scott N. Wilson, Javier Elizondo, Bradley J. Adame, Joseph Valacich, Sara Straub, Judee K. Burgoon, Brianna Lane, Cameron W. Piercy, David Wilson, Shawn King, Cindy Vincent, Ryan Schuetzler

Information Systems and Quantitative Analysis Faculty Publications

One of the benefits of using digital games for education is that games can provide feedback for learners to assess their situation and correct their mistakes. We conducted two studies to examine the effectiveness of different feedback design (timing, duration, repeats, and feedback source) in a serious game designed to teach learners about cognitive biases. We also compared the digital game-based learning condition to a professional training video. Overall, the digital game was significantly more effective than the video condition. Longer durations and repeats improve the effects on bias-mitigation. Surprisingly, there was no significant difference between just-in-time feedback and delayed …

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A New Approach To Pulse Deinterleaving Based On Adaptive Thresholding, Mostafa Bagheri, Mohammad Hossein Sedaaghi Jan 2017

A New Approach To Pulse Deinterleaving Based On Adaptive Thresholding, Mostafa Bagheri, Mohammad Hossein Sedaaghi

Turkish Journal of Electrical Engineering and Computer Sciences

Since histogram-based methods are formed by some simple differences, they are very desirable for deinterleaving. However, their main imperfection concerns recognizing complex pulse repetition interval (PRI) patterns like jittered and staggered ones.In this paper, we present new thresholds to detect jittered and staggered PRI from histogram-based methods even in complex circumstances such as noisy time of arrival (TOA), complex PRI patterns, and large missing pulses. Simulation results demonstrate that our method can detect and extract constant, jittered, and staggered PRI correctly. Moreover, the method is proved to be considerably robust and reliable at a missing pulses rate up to 30%.

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Trustworthiness Requirements For Manufacturing Cyber-Physical Systems, Radu F. Babiceanu, Remzi Seker Jan 2017

Trustworthiness Requirements For Manufacturing Cyber-Physical Systems, Radu F. Babiceanu, Remzi Seker

Publications

Distributed manufacturing operations include cyber-physical systems vulnerable to cyber-attacks. Long time not considered a priority, cybersecurity jumped to the forefront of manufacturing concerns due to the need to network together legacy, newer equipment, and entire operation centers. This paper proposes trustworthiness solutions for integrated manufacturing physical-cyber worlds, where trustworthiness is defined to complement system dependability requirements with cybersecurity requirements, such that the resulting manufacturing cyber-physical system delivers services that can justifiably be trusted. Acknowledging the inevitability of cyber-attacks, the paper models the cybersecurity component using the resilient systems framework, where system resilience is viewed as preservation of a required state …

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A Physics-Based Approach To Modeling Wildland Fire Spread Through Porous Fuel Beds, Tingting Tang Jan 2017

A Physics-Based Approach To Modeling Wildland Fire Spread Through Porous Fuel Beds, Tingting Tang

Theses and Dissertations--Mechanical and Aerospace Engineering

Wildfires are becoming increasingly erratic nowadays at least in part because of climate change. CFD (computational fluid dynamics)-based models with the potential of simulating extreme behaviors are gaining increasing attention as a means to predict such behavior in order to aid firefighting efforts. This dissertation describes a wildfire model based on the current understanding of wildfire physics. The model includes physics of turbulence, inhomogeneous porous fuel beds, heat release, ignition, and firebrands. A discrete dynamical system for flow in porous media is derived and incorporated into the subgrid-scale model for synthetic-velocity large-eddy simulation (LES), and a general porosity-permeability model is …

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Network Partitioning In Distributed Agent-Based Models, Antoniya Petkova Jan 2017

Network Partitioning In Distributed Agent-Based Models, Antoniya Petkova

Electronic Theses and Dissertations

Agent-Based Models (ABMs) are an emerging simulation paradigm for modeling complex systems, comprised of autonomous, possibly heterogeneous, interacting agents. The utility of ABMs lies in their ability to represent such complex systems as self-organizing networks of agents. Modeling and understanding the behavior of complex systems usually occurs at large and representative scales, and often obtaining and visualizing of simulation results in real-time is critical. The real-time requirement necessitates the use of in-memory computing, as it is difficult and challenging to handle the latency and unpredictability of disk accesses. Combining this observation with the scale requirement emphasizes the need to use …

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Online, Supervised And Unsupervised Action Localization In Videos, Khurram Soomro Jan 2017

Online, Supervised And Unsupervised Action Localization In Videos, Khurram Soomro

Electronic Theses and Dissertations

Action recognition classifies a given video among a set of action labels, whereas action localization determines the location of an action in addition to its class. The overall aim of this dissertation is action localization. Many of the existing action localization approaches exhaustively search (spatially and temporally) for an action in a video. However, as the search space increases with high resolution and longer duration videos, it becomes impractical to use such sliding window techniques. The first part of this dissertation presents an efficient approach for localizing actions by learning contextual relations between different video regions in training. In testing, …

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Complex Affect Recognition In The Wild, Behnaz Nojavanasghari Jan 2017

Complex Affect Recognition In The Wild, Behnaz Nojavanasghari

Electronic Theses and Dissertations

Artificial social intelligence is a step towards human-like human-computer interaction. One important milestone towards building socially intelligent systems is enabling computers with the ability to process and interpret the social signals of humans in the real world. Social signals include a wide range of emotional responses from a simple smile to expressions of complex affects. This dissertation revolves around computational models for social signal processing in the wild, using multimodal signals with an emphasis on the visual modality. We primarily focus on complex affect recognition with a strong interest in curiosity. In this dissertation,we ?rst present our collected dataset, EmoReact. …

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Pervasive Secure Content Delivery Networks Implementation, Hector Lugo-Cordero Jan 2017

Pervasive Secure Content Delivery Networks Implementation, Hector Lugo-Cordero

Electronic Theses and Dissertations

Over the years, communication networks have been shifting their focus from providing connectivity in a client/server model to providing a service or content. This shift has led to topic areas like Service-Oriented Architecture (SOA), Heterogeneous Wireless Mesh Networks, and Ubiquitous Computing. Furthermore, probably the broadest of these areas which embarks all is the Internet of Things (IoT). The IoT is defined as an Internet where all physical entities (e.g., vehicles, appliances, smart phones, smart homes, computers, etc.), which we interact daily are connected and exchanging data among themselves and users. The IoT has become a global goal for companies, researchers, …

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Learning Dynamic Network Models For Complex Social Systems, Alireza Hajibagheri Jan 2017

Learning Dynamic Network Models For Complex Social Systems, Alireza Hajibagheri

Electronic Theses and Dissertations

Human societies are inherently complex and highly dynamic, resulting in rapidly changing social networks, containing multiple types of dyadic interactions. Analyzing these time-varying multiplex networks with approaches developed for static, single layer networks often produces poor results. To address this problem, our approach is to explicitly learn the dynamics of these complex networks. This dissertation focuses on five problems: 1) learning link formation rates; 2) predicting changes in community membership; 3) using time series to predict changes in network structure; 4) modeling coevolution patterns across network layers and 5) extracting information from negative layers of a multiplex network. To study …

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Implementation Of Refining Statements In Openjml And Verification Of Higher Order Methods With Model Program Specifications, Sai Chandesh Gurramkonda Jan 2017

Implementation Of Refining Statements In Openjml And Verification Of Higher Order Methods With Model Program Specifications, Sai Chandesh Gurramkonda

Electronic Theses and Dissertations

The Java Modeling Language (JML) describes the functional behavior of Java classes and methods using pre- and postconditions. However, standard pre- and postcondition specifications cannot verify calls to higher order methods (HOMs). JML uses model program specifications to reason about HOMs. This thesis describes the implementation of model programs in the OpenJML tool. The implementation includes parsing, type checking, and matching of model program specifications against the code.

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Learning Robotic Manipulation From User Demonstrations, Rouhollah Rahmatizadeh Jan 2017

Learning Robotic Manipulation From User Demonstrations, Rouhollah Rahmatizadeh

Electronic Theses and Dissertations

Personal robots that help disabled or elderly people in their activities of daily living need to be able to autonomously perform complex manipulation tasks. Traditional approaches to this problem employ task-specific controllers. However, these must to be designed by expert programmers, are focused on a single task, and will perform the task as programmed, not according to the preferences of the user. In this dissertation, we investigate methods that enable an assistive robot to learn to execute tasks as demonstrated by the user. First, we describe a learning from demonstration (LfD) method that learns assistive tasks that need to be …

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Super Resolution Of Wavelet-Encoded Images And Videos, Vildan Atalay Jan 2017

Super Resolution Of Wavelet-Encoded Images And Videos, Vildan Atalay

Electronic Theses and Dissertations

In this dissertation, we address the multiframe super resolution reconstruction problem for wavelet-encoded images and videos. The goal of multiframe super resolution is to obtain one or more high resolution images by fusing a sequence of degraded or aliased low resolution images of the same scene. Since the low resolution images may be unaligned, a registration step is required before super resolution reconstruction. Therefore, we first explore in-band (i.e. in the wavelet-domain) image registration; then, investigate super resolution. Our motivation for analyzing the image registration and super resolution problems in the wavelet domain is the growing trend in wavelet-encoded imaging, …

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Hashing For Multimedia Similarity Modeling And Large-Scale Retrieval, Kai Li Jan 2017

Hashing For Multimedia Similarity Modeling And Large-Scale Retrieval, Kai Li

Electronic Theses and Dissertations

In recent years, the amount of multimedia data such as images, texts, and videos have been growing rapidly on the Internet. Motivated by such trends, this thesis is dedicated to exploiting hashing-based solutions to reveal multimedia data correlations and support intra-media and inter-media similarity search among huge volumes of multimedia data. We start by investigating a hashing-based solution for audio-visual similarity modeling and apply it to the audio-visual sound source localization problem. We show that synchronized signals in audio and visual modalities demonstrate similar temporal changing patterns in certain feature spaces. We propose to use a permutation-based random hashing technique …

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Weakly Labeled Action Recognition And Detection, Waqas Sultani Jan 2017

Weakly Labeled Action Recognition And Detection, Waqas Sultani

Electronic Theses and Dissertations

Research in human action recognition strives to develop increasingly generalized methods that are robust to intra-class variability and inter-class ambiguity. Recent years have seen tremendous strides in improving recognition accuracy on ever larger and complex benchmark datasets, comprising realistic actions "in the wild" videos. Unfortunately, the all-encompassing, dense, global representations that bring about such improvements often benefit from the inherent characteristics, specific to datasets and classes, that do not necessarily reflect knowledge about the entity to be recognized. This results in specific models that perform well within datasets but generalize poorly. Furthermore, training of supervised action recognition and detection methods …

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Analysis Of Affective State As Covariate In Human Gait Identification, Kofi Agyemang Adumata Jan 2017

Analysis Of Affective State As Covariate In Human Gait Identification, Kofi Agyemang Adumata

Walden Dissertations and Doctoral Studies

There is an increased interest in the need for a noninvasive and nonintrusive biometric identification and recognition system such as Automatic Gait Identification (AGI) due to the rise in crime rates in the US, physical assaults, and global terrorism in public places. AGI, a biometric system based on human gait, can recognize people from a distance and current literature shows that AGI has a 95.75% success rate in a closely controlled laboratory environment. Also, this success rate does not take into consideration the effect of covariate factors such as affective state (mood state); and literature shows that there is a …

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Offshore Outsourcing Of The United States Semiconductor Manufacturing: Management Approaches And Strategies, Oscar Mostofi Jan 2017

Offshore Outsourcing Of The United States Semiconductor Manufacturing: Management Approaches And Strategies, Oscar Mostofi

Walden Dissertations and Doctoral Studies

The United States manufacturing employment decreased 33% from 1985 to 2014. During the same period, the United States semiconductor manufacturing, accounting for 1.7% of the total of the United States manufacturing workforce, lost 35% of its employees. The decline in semiconductor manufacturing jobs began in 1985 when semiconductor firms began offshoring product manufacturing overseas because of low cost of qualified labor force and facilities. This qualitative case study explored the analytical approaches and strategies business leaders of semiconductor firms that offshore manufacturing use in making informed strategic outsourcing and offshoring decisions conducive to sustainability and profitability of operations. The location …

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Exploring Security, Privacy, And Reliability Strategies To Enable The Adoption Of Iot, Daud Alyas Kamin Jan 2017

Exploring Security, Privacy, And Reliability Strategies To Enable The Adoption Of Iot, Daud Alyas Kamin

Walden Dissertations and Doctoral Studies

The Internet of things (IoT) is a technology that will enable machine-to-machine communication and eventually set the stage for self-driving cars, smart cities, and remote care for patients. However, some barriers that organizations face prevent them from the adoption of IoT. The purpose of this qualitative exploratory case study was to explore strategies that organization information technology (IT) leaders use for security, privacy, and reliability to enable the adoption of IoT devices. The study population included organization IT leaders who had knowledge or perceptions of security, privacy, and reliability strategies to adopt IoT at an organization in the eastern region …

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Blockchains For Publicizing Available Scientific Datasets, Shirish Patel Jan 2017

Blockchains For Publicizing Available Scientific Datasets, Shirish Patel

Electronic Theses and Dissertations

This thesis explores the effectiveness of blockchain technology for advertisement of scientific data. Recently the advancement in hardware and software for data processing increases the supply and demand for huge data sets. Such data may be widely distributed, and not immediately available to the scientists who need it. We need a method of advertising available datasets to interested parties. Blockchains are a recent innovation developed by the cryptocurrency community, but are increasingly applied to other problem domains. Due to their currency heritage, however, the properties of blockchains do not always lend themselves to new applications. We have developed a prototype …

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Prediction Of Local Quality Of Protein Structure Models Considering Spatial Neighbors In Graphical Models., Woong Hee Shin, Xuejiao Kang, Jian Zhang, Daisuke Kihara Jan 2017

Prediction Of Local Quality Of Protein Structure Models Considering Spatial Neighbors In Graphical Models., Woong Hee Shin, Xuejiao Kang, Jian Zhang, Daisuke Kihara

Department of Biological Sciences Faculty Publications

Protein tertiary structure prediction methods have matured in recent years. However, some proteins defy accurate prediction due to factors such as inadequate template structures. While existing model quality assessment methods predict global model quality relatively well, there is substantial room for improvement in local quality assessment, i.e. assessment of the error at each residue position in a model. Local quality is a very important information for practical applications of structure models such as interpreting/designing site-directed mutagenesis of proteins. We have developed a novel local quality assessment method for protein tertiary structure models. The method, named Graph-based Model Quality assessment method …

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Succinct Data Structures For Parameterized Pattern Matching And Related Problems, Arnab Ganguly Jan 2017

Succinct Data Structures For Parameterized Pattern Matching And Related Problems, Arnab Ganguly

LSU Doctoral Dissertations

Let T be a fixed text-string of length n and P be a varying pattern-string of length |P| <= n. Both T and P contain characters from a totally ordered alphabet Sigma of size sigma <= n. Suffix tree is the ubiquitous data structure for answering a pattern matching query: report all the positions i in T such that T[i + k - 1] = P[k], 1 <= k <= |P|. Compressed data structures support pattern matching queries, using much lesser space than the suffix tree, mainly by relying on a crucial property of the leaves in the tree. Unfortunately, in many suffix tree variants (such as parameterized suffix tree, order-preserving suffix tree, and 2-dimensional suffix tree), this property does not hold. Consequently, compressed representations of these suffix tree variants have been elusive. We present the first compressed data structures for two important variants of the pattern matching problem: (1) Parameterized Matching -- report a position i in T if T[i + k - 1] = f(P[k]), 1 <= k <= |P|, for a one-to-one function f that renames the characters in P to the characters in T[i,i+|P|-1], and (2) Order-preserving Matching -- report a position i in T if T[i + j - 1] and T[i + k -1] have the same relative order as that of P[j] and P[k], 1 <= j < k <= |P|. For each of these two problems, the existing suffix tree variant requires O(n*log n) bits of space and answers a query in O(|P|*log sigma + occ) time, where occ is the number of starting positions where a match exists. We present data structures that require O(n*log sigma) bits of space and answer a query in O((|P|+occ) poly(log n)) time. As a byproduct, we obtain compressed data structures for a few other variants, as well as introduce two new techniques (of independent interest) for designing compressed data structures for pattern matching.

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Decentralized Scheduling For Many-Task Applications In The Hybrid Cloud, Brian Lyle Peterson Jan 2017

Decentralized Scheduling For Many-Task Applications In The Hybrid Cloud, Brian Lyle Peterson

LSU Doctoral Dissertations

While Cloud Computing has transformed how we solve many computing tasks, some scientific and many-task applications are not efficiently executed on cloud resources. Decentralized scheduling, as studied in grid computing, can provide a scalable system to organize cloud resources and schedule a variety of work. By measuring simulations of two algorithms, the fully decentralized Organic Grid, and the partially decentralized Air Traffic Controller from IBM, we establish that decentralization is a workable approach, and that there are bottlenecks that can impact partially centralized algorithms. Through measurements in the cloud, we verify that our simulation approach is sound, and assess the …

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Evolving Art: Modifying Context Free Art With A Genetic Algorithm, Marina Kent Jan 2017

Evolving Art: Modifying Context Free Art With A Genetic Algorithm, Marina Kent

Scripps Senior Theses

Context Free Design Grammar (CFDG) is a programming language for defining recursive structures that can be used to create art. I use CFDG as a design space for genetic programming, experimenting with various options for crossover, mutation, and fitness. In this exploratory work, multiple generations are manually assessed to determine the usefulness of the mutation strategies and fitness functions. I find that simple value mutation and fitness that alters general program structure is not enough to produce an increase of interesting images in CFDG. I discuss these findings as well as future avenues of inquiry for genetic programming in artistic …

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