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2017

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Articles 1921 - 1950 of 2767

Full-Text Articles in Computer Sciences

Examining The Effects Of Distractive Multitasking With Peripheral Computing In The Classroom, Jaime Eduardo Puente Jan 2017

Examining The Effects Of Distractive Multitasking With Peripheral Computing In The Classroom, Jaime Eduardo Puente

CCAC Theses and Dissertations

The growing use of information and communication technologies (ICTs) in college campuses has dramatically increased the potential for multitasking among students who have to juggle classes, school assignments, work, and recreational activities. These students believe that they have become more efficient by performing two or more tasks simultaneously. The use of technology, however, has changed the student’s ability to focus and attend to what they need to learn. Research has shown that multitasking divides students’ attention, which could have a negative impact on their cognition and learning. The purpose of this study was to examine the effects of distractive multitasking …

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Organizational Information Dissemination Within Collaborative Networks Using Digital Communication Tools, Cristelia Hinojosa Jan 2017

Organizational Information Dissemination Within Collaborative Networks Using Digital Communication Tools, Cristelia Hinojosa

CCAC Theses and Dissertations

While knowledge is one of an organization’s greatest assets, it remains a challenge to facilitate knowledge transfer between people within an organization. Social influence has been studied in its role of facilitating information diffusion, which is necessary for knowledge transfer to occur. Among this research, tie strength, a quantifiable characteristic of a social network that determines the link between two nodes, has been measured to determine the impact of social influence on knowledge transfer and information dissemination within a social network. Current research that explores the impact of social influence on information diffusion has been conducted within public social networks …

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The Role Of Cognitive Disposition In Re-Examining The Privacy Paradox: A Neuroscience Study, Zareef Mohammed Jan 2017

The Role Of Cognitive Disposition In Re-Examining The Privacy Paradox: A Neuroscience Study, Zareef Mohammed

CCAC Theses and Dissertations

The privacy paradox is a phenomenon whereby individuals continue to disclose their personal information, contrary to their claim of concerns for the privacy of their personal information. This study investigated the privacy paradox to better understand individuals' decisions to disclose or withhold their personal information. The study argued that individuals’ decisions are based on a cognitive disposition, which involves both rational and emotional mental processes. While the extended privacy calculus model was used as the theoretical basis for the study, the findings of cognitive neuroscience was applied to it to address its limitation in assuming individuals are purely rational decision-makers. …

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A Runtime Verification And Validation Framework For Self-Adaptive Software, David B. Sayre Jan 2017

A Runtime Verification And Validation Framework For Self-Adaptive Software, David B. Sayre

CCAC Theses and Dissertations

The concepts that make self-adaptive software attractive also make it more difficult for users to gain confidence that these systems will consistently meet their goals under uncertain context. To improve user confidence in self-adaptive behavior, machine-readable conceptual models have been developed to instrument the adaption behavior of the target software system and primary feedback loop. By comparing these machine-readable models to the self-adaptive system, runtime verification and validation may be introduced as another method to increase confidence in self-adaptive systems; however, the existing conceptual models do not provide the semantics needed to institute this runtime verification or validation. This research …

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Pulsar Search Using Supervised Machine Learning, John M. Ford Jan 2017

Pulsar Search Using Supervised Machine Learning, John M. Ford

CCAC Theses and Dissertations

Pulsars are rapidly rotating neutron stars which emit a strong beam of energy through mechanisms that are not entirely clear to physicists. These very dense stars are used by astrophysicists to study many basic physical phenomena, such as the behavior of plasmas in extremely dense environments, behavior of pulsar-black hole pairs, and tests of general relativity. Many of these tasks require information to answer the scientific questions posed by physicists. In order to provide more pulsars to study, there are several large-scale pulsar surveys underway, which are generating a huge backlog of unprocessed data. Searching for pulsars is a very …

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Enhancing The Accuracy Of Synthetic File System Benchmarks, Salam Farhat Jan 2017

Enhancing The Accuracy Of Synthetic File System Benchmarks, Salam Farhat

CCAC Theses and Dissertations

File system benchmarking plays an essential part in assessing the file system’s performance. It is especially difficult to measure and study the file system’s performance as it deals with several layers of hardware and software. Furthermore, different systems have different workload characteristics so while a file system may be optimized based on one given workload it might not perform optimally based on other types of workloads. Thus, it is imperative that the file system under study be examined with a workload equivalent to its production workload to ensure that it is optimized according to its usage. The most widely used …

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An Exploratory Study Of The Approach To Bring Your Own Device (Byod) In Assuring Information Security, Coleen D. Santee Jan 2017

An Exploratory Study Of The Approach To Bring Your Own Device (Byod) In Assuring Information Security, Coleen D. Santee

CCAC Theses and Dissertations

The availability of smart device capabilities, easy to use apps, and collaborative capabilities has increased the expectations for the technology experience of employees. In addition, enterprises are adopting SaaS cloud-based systems that employees can access anytime, anywhere using their personal, mobile device. BYOD could drive an IT evolution for powerful device capabilities and easy to use apps, but only if the information security concerns can be addressed. This research proposed to determine the acceptance rate of BYOD in organizations, the decision making approach, and significant factors that led to the successful adoption of BYOD using the expertise of experienced internal …

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Reducing The Download Time In Stochastic P2p Content Delivery Networks By Improving Peer Selection, Nicholas Hays Jan 2017

Reducing The Download Time In Stochastic P2p Content Delivery Networks By Improving Peer Selection, Nicholas Hays

CCAC Theses and Dissertations

Peer-to-peer (P2P) applications have become a popular method for obtaining digital content. Recent research has shown that the amount of time spent downloading from a poor performing peer effects the total download duration. Current peer selection strategies attempt to limit the amount of time spent downloading from a poor performing peer, but they do not use both advanced knowledge and service capacity after the connection has been made to aid in peer selection. Advanced knowledge has traditionally been obtained from methods that add additional overhead to the P2P network, such as polling peers for service capacity information, using round trip …

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A Novel Approach To Determining Real-Time Risk Probabilities In Critical Infrastructure Industrial Control Systems, Michael Elrod Jan 2017

A Novel Approach To Determining Real-Time Risk Probabilities In Critical Infrastructure Industrial Control Systems, Michael Elrod

CCAC Theses and Dissertations

Critical Infrastructure Industrial Control Systems are substantially different from their more common and ubiquitous information technology system counterparts. Industrial control systems, such as distributed control systems and supervisory control and data acquisition systems that are used for controlling the power grid, were not originally designed with security in mind. Geographically dispersed distribution, an unfortunate reliance on legacy systems and stringent availability requirements raise significant cybersecurity concerns regarding electric reliability while constricting the feasibility of many security controls. Recent North American Electric Reliability Corporation Critical Infrastructure Protection standards heavily emphasize cybersecurity concerns and specifically require entities to categorize and identify their …

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Improved Detection For Advanced Polymorphic Malware, James B. Fraley Jan 2017

Improved Detection For Advanced Polymorphic Malware, James B. Fraley

CCAC Theses and Dissertations

Malicious Software (malware) attacks across the internet are increasing at an alarming rate. Cyber-attacks have become increasingly more sophisticated and targeted. These targeted attacks are aimed at compromising networks, stealing personal financial information and removing sensitive data or disrupting operations. Current malware detection approaches work well for previously known signatures. However, malware developers utilize techniques to mutate and change software properties (signatures) to avoid and evade detection. Polymorphic malware is practically undetectable with signature-based defensive technologies. Today’s effective detection rate for polymorphic malware detection ranges from 68.75% to 81.25%. New techniques are needed to improve malware detection rates. Improved detection …

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Data Masking, Encryption, And Their Effect On Classification Performance: Trade-Offs Between Data Security And Utility, Juan C. Asenjo Jan 2017

Data Masking, Encryption, And Their Effect On Classification Performance: Trade-Offs Between Data Security And Utility, Juan C. Asenjo

CCAC Theses and Dissertations

As data mining increasingly shapes organizational decision-making, the quality of its results must be questioned to ensure trust in the technology. Inaccuracies can mislead decision-makers and cause costly mistakes. With more data collected for analytical purposes, privacy is also a major concern. Data security policies and regulations are increasingly put in place to manage risks, but these policies and regulations often employ technologies that substitute and/or suppress sensitive details contained in the data sets being mined. Data masking and substitution and/or data encryption and suppression of sensitive attributes from data sets can limit access to important details. It is believed …

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Defining Usability Heuristics For Adoption And Efficiency Of An Electronic Workflow Document Management System, Steven Fuentes Jan 2017

Defining Usability Heuristics For Adoption And Efficiency Of An Electronic Workflow Document Management System, Steven Fuentes

CCAC Theses and Dissertations

Usability heuristics have been established for different uses and applications as general guidelines for user interfaces. These can affect the implementation of industry solutions and play a significant role regarding cost reduction and process efficiency. The area of electronic workflow document management (EWDM) solutions, also known as workflow, lacks a formal definition of usability heuristics. With the advent of new technologies such as mobile devices, defining a set of usability heuristics contributes to the adoption and efficiency of an EWDM system. Workflow usability has been evaluated for various industries. Most significantly research has been done for electronic healthcare records (EHR). …

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A Study Of How Young Adults Leverage Multiple Profile Management Functionality In Managing Their Online Reputation On Social Networking Sites, T. John Mccune Jan 2017

A Study Of How Young Adults Leverage Multiple Profile Management Functionality In Managing Their Online Reputation On Social Networking Sites, T. John Mccune

CCAC Theses and Dissertations

With privacy settings on social networking sites (SNS) perceived as complex and difficult to use and maintain, young adults can be left vulnerable to others accessing and using their personal information. Consequences of not regulating the boundaries their information on SNS include the ability for current and future employers to make career-impacting decisions based upon their online reputation that may include disqualifying them as job candidates. On SNS, such as Facebook, LinkedIn, and Twitter, young adults must decide on how to manage their online reputation by regulating boundaries to their own personal and professional information and identities. One known practice …

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Individualized Instruction As A Faculty Training Strategy For Technology Integration, Jennifer Merritt Jan 2017

Individualized Instruction As A Faculty Training Strategy For Technology Integration, Jennifer Merritt

CCAC Theses and Dissertations

It is inevitable that campus-based higher education will adopt some form of a hybrid learning approach. For schools and their faculty members, this means the acknowledgment and acceptance of these changes are required. Campus-based higher education faculty members wish to change how they teach courses due to societal demands to better suit the next generation of students. Initially, schools began offering new technology to faculty that wished to use the technology; however, over the years, due to the demands of competition with other schools and next generation, tech-savvy students entering academia, schools are starting to require the use of technology …

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A Heuristic Approach To Creating Technological Fair Use Guidelines In Higher Education, Jerry L. Roper Jan 2017

A Heuristic Approach To Creating Technological Fair Use Guidelines In Higher Education, Jerry L. Roper

CCAC Theses and Dissertations

Higher education has experienced challenges defining and implementing copyright compliance. Confusion among faculty and staff appears to be common regarding copyright and fair use. The original copyright doctrine was drafted over 200 years ago, which predates practically all technological advances that have and will continue to occur. Change is slow and onerous with most legislation; there is not much possibility the small amendments made to the law will be able to keep pace with the continual technological evolution. Further, judges are citing precedents in court rulings of copyright disputes that were made using the best interpretation of the law, even …

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A Study Of Human-Machine Interface (Hmi) Learnability For Unmanned Aircraft Systems Command And Control, Tom Haritos Jan 2017

A Study Of Human-Machine Interface (Hmi) Learnability For Unmanned Aircraft Systems Command And Control, Tom Haritos

CCAC Theses and Dissertations

The operation of sophisticated unmanned aircraft systems (UAS) involves complex interactions between human and machine. Unlike other areas of aviation where technological advancement has flourished to accommodate the modernization of the National Airspace System (NAS), the scientific paradigm of UAS and UAS user interface design has received little research attention and minimal effort has been made to aggregate accurate data to assess the effectiveness of current UAS human-machine interface (HMI) representations for command and control. UAS HMI usability is a primary human factors concern as the Federal Aviation Administration (FAA) moves forward with the full-scale integration of UAS in the …

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Enhanced Prediction Of Network Attacks Using Incomplete Data, Jacob D. Arthur Jan 2017

Enhanced Prediction Of Network Attacks Using Incomplete Data, Jacob D. Arthur

CCAC Theses and Dissertations

For years, intrusion detection has been considered a key component of many organizations’ network defense capabilities. Although a number of approaches to intrusion detection have been tried, few have been capable of providing security personnel responsible for the protection of a network with sufficient information to make adjustments and respond to attacks in real-time. Because intrusion detection systems rarely have complete information, false negatives and false positives are extremely common, and thus valuable resources are wasted responding to irrelevant events. In order to provide better actionable information for security personnel, a mechanism for quantifying the confidence level in predictions is …

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Strategies For Combining Tree-Based Ensemble Models, Yi Zhang Jan 2017

Strategies For Combining Tree-Based Ensemble Models, Yi Zhang

CCAC Theses and Dissertations

Ensemble models have proved effective in a variety of classification tasks. These models combine the predictions of several base models to achieve higher out-of-sample classification accuracy than the base models. Base models are typically trained using different subsets of training examples and input features. Ensemble classifiers are particularly effective when their constituent base models are diverse in terms of their prediction accuracy in different regions of the feature space. This dissertation investigated methods for combining ensemble models, treating them as base models. The goal is to develop a strategy for combining ensemble classifiers that results in higher classification accuracy than …

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The Efficacy Of Perceived Big Data Security, Trust, Perceived Leadership Competency, Information Sensitivity, Privacy Concern And Job Reward On Disclosing Personal Security Information Online, Iqbal Amiri Jan 2017

The Efficacy Of Perceived Big Data Security, Trust, Perceived Leadership Competency, Information Sensitivity, Privacy Concern And Job Reward On Disclosing Personal Security Information Online, Iqbal Amiri

CCAC Theses and Dissertations

Individuals’ reluctance to provide sensitive personal information online could affect the US Governments’ ability to hire and retain qualified personnel for sensitive cleared positions. The aim of this research study was to show how perceived big data security, trust, perceived leadership competency, information sensitivity, privacy concern and reward of a job play a significant role in limiting an individuals’ willingness of disclosing sensitive personal information online. While a significant volume of research has examined information disclosure in the health care field, there has not been any published studies on the willingness of online disclosure in order to attain a US …

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Behavioral Intention And Use Behavior Of Social Networking Websites Among Senior Adults, Andrew M. Berry Jan 2017

Behavioral Intention And Use Behavior Of Social Networking Websites Among Senior Adults, Andrew M. Berry

CCAC Theses and Dissertations

Use of social networking websites has rapidly increased over the last decade. Online social environments are quickly changing to meet the demands of younger users however the needs of senior adults are often ignored on most websites today and underrepresented in many Unified Theory of Acceptance and Use of Technology (UTAUT) studies. The study sought to close the gap in research by providing greater knowledge about the behavioral intention and use behavior of social networking websites among senior adults. Senior adults from several locations and organizations were asked to complete an online self-administered survey answering questions that tie directly into …

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A Novel Ddcc+ Based First-Order Current-Mode Active-C All-Pass Filter Using A Grounded Capacitor, Remzi̇ Arslanalp Jan 2017

A Novel Ddcc+ Based First-Order Current-Mode Active-C All-Pass Filter Using A Grounded Capacitor, Remzi̇ Arslanalp

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, a novel first-order current-mode active-C all-pass filter based on a companding idea is proposed. In the design of the filter, a state space method is used. The proposed structure consists of only two plus-type differential difference current conveyors, nine external MOSFETs, and a single grounded capacitor. The dominant advantages of the proposed filter are briefly described as follows: offering resistorless design, consuming low power, having an electronic tunability property of its pole frequency, and not suffering from the disadvantage of any passive component matching conditions. By cascading two all-pass filters in a closed negative feedback loop, a …

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A Novel Approach For Extracting Ideal Exemplars By Clustering For Massivetime-Ordered Datasets, Ömer Faruk Ertuğrul Jan 2017

A Novel Approach For Extracting Ideal Exemplars By Clustering For Massivetime-Ordered Datasets, Ömer Faruk Ertuğrul

Turkish Journal of Electrical Engineering and Computer Sciences

The number and length of massive datasets have increased day by day and this yields more complex machine learning stages due to the high computational costs. To decrease the computational cost many methods were proposed in the literature such as data condensing, feature selection, and filtering. Although clustering methods are generally employed to divide samples into groups, another way of data condensing is by determining ideal exemplars (or prototypes), which can be used instead of the whole dataset. In this study, first the efficiency of traditional data condensing by clustering approach was confirmed according to obtained accuracies and condensing ratios …

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Nonlinear Model Predictive Control Based On Fuzzy Wavelet Neural Network And Chaos Optimization, Mehrnoush Davanipour, Hanieh Asadipooya Jan 2017

Nonlinear Model Predictive Control Based On Fuzzy Wavelet Neural Network And Chaos Optimization, Mehrnoush Davanipour, Hanieh Asadipooya

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper a combined controller is proposed for nonlinear dynamical systems. The controller is constructed by a fuzzy wavelet network and nonlinear model predictive control. Chaotic optimization, which is fast and robust, is applied to generate optimized controlled input in nonlinear model predictive control. The ability of the fuzzy wavelet neural network and the proposed controller is shown by simulation. It is illustrated that the proposed method is able to increase the speed of tracking in addition to having very little steady state error. Using chaotic optimization makes the controller robust in the presence of noise.

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A Reduced-Order Observer Based On Stator Flux Estimation With Straightforward Parameter Identification For Sensorless Control Of Dfigs, Rahim Ajabi Farshbaf, Mohammad Reza Azizian, Vahid Eslampanah Jan 2017

A Reduced-Order Observer Based On Stator Flux Estimation With Straightforward Parameter Identification For Sensorless Control Of Dfigs, Rahim Ajabi Farshbaf, Mohammad Reza Azizian, Vahid Eslampanah

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a new reducer-order observer for sensorless control of doubly fed induction generators (DFIGs), based on the Luenberger algorithm. Stable operation of the suggested observer is also considered in the design guidelines. Stator flux is selected as the state variable for the observer and its estimation error is used to correct the observer operation. The gain matrix of the proposed observer is calculated on the basis of flux error dynamics. The adaptation mechanism of the proposed observer is selected based on an estimation of rotor currents. A proportional integrator (PI) block is used in the structure of the …

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Robust Control For Line-Of-Sight Stabilization Of A Two-Axis Gimbal System, Mehmet Baskin, Mehmet Kemal Leblebi̇ci̇oğlu Jan 2017

Robust Control For Line-Of-Sight Stabilization Of A Two-Axis Gimbal System, Mehmet Baskin, Mehmet Kemal Leblebi̇ci̇oğlu

Turkish Journal of Electrical Engineering and Computer Sciences

Line-of-sight stabilization against various disturbances is an essential property of gimbaled imaging systems mounted on mobile platforms. In recent years, the importance of target detection from higher distances has increased. This has raised the need for better stabilization performance. For that reason, stabilization loops are designed such that they have higher gains and larger bandwidths. As these are required for good disturbance attenuation, sufficient loop stability is also needed. However, model uncertainties around structural resonances impose strict restrictions on sufficient loop stability. Therefore, to satisfy high stabilization performance in the presence of model uncertainties, robust control methods are required. In …

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Method Of Singular Integral Equations In Diffraction By Semi-Infinite Grating: $H$-Polarization Case, Mstislav Kaliberda, Leonid Lytvynenko, Sergey Pogarsky Jan 2017

Method Of Singular Integral Equations In Diffraction By Semi-Infinite Grating: $H$-Polarization Case, Mstislav Kaliberda, Leonid Lytvynenko, Sergey Pogarsky

Turkish Journal of Electrical Engineering and Computer Sciences

Diffraction of the $H$-polarized electromagnetic wave by a semi-infinite strip grating is considered. The scattered field is represented as a superposition of the field induced by the currents on the strips of an infinite periodic grating and the field induced by the correction current excited due to end of the grating. Singular integral equations with additional conditions for infinite and semi-infinite periodic gratings are obtained. The current on the strips and spectral function of scattered field are expressed in terms of the solution of these equations. Numerical results for the near and far fields distribution are represented.

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"Motiv 8" : An Inspirational Media Interface, Gabriel Rodriguez Jan 2017

"Motiv 8" : An Inspirational Media Interface, Gabriel Rodriguez

Theses, Dissertations and Culminating Projects

We are molded by our environment and our surroundings. In a society immersed in social media, our environment is the content we consume. Social media has various positive benefits such as networking, e-commerce, connecting past acquaintances, and a source for entertainment. However, there are also various unfavorable characteristics that are found in most social media networks, which are tackled in this project. These characteristics include the relationship between content creator and content consumer, and the content that is displayed to the user. Whether miniscule or aggressive, the content a user consumes will have an impact on them. Therefore, content consumers …

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The Rise Of Cybersecurity And Its Impact On Data Protection, Fred H. Cate, Christopher Kuner, Dan Jerker B. Svantesson, Orla Lynskey, Christopher Millard Jan 2017

The Rise Of Cybersecurity And Its Impact On Data Protection, Fred H. Cate, Christopher Kuner, Dan Jerker B. Svantesson, Orla Lynskey, Christopher Millard

Articles by Maurer Faculty

No abstract provided.

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The Gdpr As A Chance To Break Down Borders, Fred H. Cate, Christopher Kuner, Dan Jerker B. Svantesson, Orla Lynskey, Nora Ni Loideain Jan 2017

The Gdpr As A Chance To Break Down Borders, Fred H. Cate, Christopher Kuner, Dan Jerker B. Svantesson, Orla Lynskey, Nora Ni Loideain

Articles by Maurer Faculty

No abstract provided.

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Contextualizing Secure Information System Design: A Socio-Technical Approach, Abdul Rahim Charif Jan 2017

Contextualizing Secure Information System Design: A Socio-Technical Approach, Abdul Rahim Charif

CCAC Theses and Dissertations

Secure Information Systems (SIS) design paradigms have evolved in generations to adapt to IS security needs. However, modern IS are still vulnerable and are far from secure. The development of an underlying IS cannot be reduced to “technological fixes” neither is the design of SIS. Technical security cannot ensure IS security. Generations of SIS design paradigms have evolved, all with their own sets of shortcomings. A SIS design paradigm must meet well-defined requirements, yet contemporary paradigms do not meet all these requirements. Current SIS design paradigms are not easily applicable to IS. They lack a comprehensive modeling support and ignore …

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