Computer Sciences Commons^™

The Relationship Between Technology Threat Avoidance And Innovation In Health Care Organizations, Melvin R. Fenner Jr

Walden Dissertations and Doctoral Studies

Most leaders of healthcare delivery organizations have increased their rate of technological innovation, but some still struggle to keep pace with other industries. The problem addressed in this study was that senior leaders in some rural ambulatory healthcare facilities failed to innovate, even with recent healthcare technological innovations, which could lead to increased medical errors and a loss of efficiency. The purpose of the study was to examine if a relationship exists between the avoidance of technology threats by senior leaders in ambulatory healthcare organizations and the innovation propensity of the organization. Technology threat avoidance theory served as the theoretical …

The Challenges Of Implementing Bring Your Own Device, Leslie Deshield

Walden Dissertations and Doctoral Studies

Research conducted by Tech Pro (2014) indicated that the Bring Your Own Device (BYOD) concept is gaining momentum with 74% of organizations already having some BYOD program or planning to implement one. While BYOD offers several benefits, it also presents challenges that concern information technology leaders and information security managers. This correlational study used the systems theory framework to examine the relationship between information security managers' intentions, perceptions of security, and compliance regarding BYOD implementation. Participants of the study consisted of information security managers in the eastern United States who had obtained the Certified Information Systems Manager certification. Data was …

How Attitude Toward The Behavior, Subjective Norm, And Perceived Behavioral Control Affects Information Security Behavior Intention, David Philip Johnson

Walden Dissertations and Doctoral Studies

The education sector is at high risk for information security (InfoSec) breaches and in need of improved security practices. Achieving data protections cannot be through technical means alone. Addressing the human behavior factor is required. Security education, training, and awareness (SETA) programs are an effective method of addressing human InfoSec behavior. Applying sociobehavioral theories to InfoSec research provides information to aid IT security program managers in developing improved SETA programs. The purpose of this correlational study was to examine through the theoretical lens of the theory of planned behavior (TPB) how attitude toward the behavior (ATT), subjective norm (SN), and …

Examining The Behavioral Intention Of Individuals' Compliance With Information Security Policies, David A. Brown

Walden Dissertations and Doctoral Studies

Target Corporation experienced an information security breach resulting in compromising customers' financial information. Management is responsible for implementing adequate information security policies that protect corporate data and minimize financial losses. The purpose of this experimental study was to examine the effect of a fear appeal communication on an individual's information security policy behavioral intention. The sample population involved information technology professionals randomly selected from the SurveyMonkey audience. A research model, developed using constructs from deterrence theory and protection motivation theory, became the structural model used for partial least squares-structural equation modeling (PLS-SEM) analysis of the survey response data, which indicated …

Strategies Information And Communication Technology Managers Use To Build Employee Competencies, Thulaganyo Arnold Rabogadi

Walden Dissertations and Doctoral Studies

The World Economic Forum (WEF) found that Botswana's information and communication technology (ICT) networked readiness index (NRI) had declined from position 89 in 2012 to 104 in 2015. A decline in Botswana's ICT NRI resulted in a modest gross domestic product (GDP) growth increasing from 4.2% in 2012 to 5.0% in 2015. The purpose of this qualitative multiple case study was to explore strategies ICT service provider managers use to build employee competencies to address ICT infrastructure performance deficiencies. The target population for this study consisted of over 120 managers from 2 ICT service providers located in Gaborone and Francistown …

Security Strategies For Hosting Sensitive Information In The Commercial Cloud, Edward Steven Forde

Walden Dissertations and Doctoral Studies

IT experts often struggle to find strategies to secure data on the cloud. Although current security standards might provide cloud compliance, they fail to offer guarantees of security assurance. The purpose of this qualitative case study was to explore the strategies used by IT security managers to host sensitive information in the commercial cloud. The study's population consisted of information security managers from a government agency in the eastern region of the United States. The routine active theory, developed by Cohen and Felson, was used as the conceptual framework for the study. The data collection process included IT security manager …

Information Technology Training To Promote Collaboration Among Multiple Generations, Gregg Foster

Walden Dissertations and Doctoral Studies

The decision to implement information technology (IT) initiatives to enhance collaboration among veterans, baby boomers, Generation X, Generation Y, and Fifth Generation employees continues to challenge organizational leaders. The purpose of this nonexperimental study was to identify how the implementation of information technology initiatives, coupled with the knowledge of learning styles, might enhance collaboration among generational cohort employees. The generational cohort theory, Maslow's hierarchy of needs theory, and the technology acceptance model were the theoretical frameworks used to develop an understanding of the relationships among the cohorts and the acceptance of technology to enhance collaboration. Data were collected from a …

Ai Education: Machine Learning Resources, Todd W. Neller

Computer Science Faculty Publications

In this column, we focus on resources for learning and teaching three broad categories of machine learning (ML): supervised, unsupervised, and reinforcement learning. In ournext column, we will focus specifically on deep neural network learning resources, so if you have any resource recommendations, please email them to the address above. [excerpt]

Ai Education: Deep Neural Network Learning Resources, Todd W. Neller

Computer Science Faculty Publications

In this column, we focus on resources for learning and teaching deep neural network learning. Many exciting advances have been made in this area of late, and so many resources have become available online that the flood of relevant concepts and techniques can be overwhelming. Here, we hope to provide a sampling of high-quality resources to guide the newcomer into this booming field. [excerpt]

Designing Light Filters To Detect Skin Using A Low-Powered Sensor, Muhammad Uzair Tariq

Electronic Theses and Dissertations

Detection of nudity in photos and videos, especially prior to uploading to the internet, is vital to solving many problems related to adolescent sexting, the distribution of child pornography, and cyber-bullying. The problem with using nudity detection algorithms as a means to combat these problems is that: 1) it implies that a digitized nude photo of a minor already exists (i.e., child pornography), and 2) there are real ethical and legal concerns around the distribution and processing of child pornography. Once a camera captures an image, that image is no longer secure. Therefore, we need to develop new privacy-preserving solutions …

Adversarial Attacks On Vision Algorithms Using Deep Learning Features, Andy Michel

Electronic Theses and Dissertations

Computer vision algorithms, such as those implementing object detection, are known to be susceptible to adversarial attacks. Small barely perceptible perturbations to the input can cause vision algorithms to incorrectly classify inputs that they would have otherwise classified correctly. A number of approaches have been recently investigated to generate such adversarial examples for deep neural networks. Many of these approaches either require grey-box access to the deep neural net being attacked or rely on adversarial transfer and grey-box access to a surrogate neural network. In this thesis, we present an approach to the synthesis of adversarial examples for computer vision …

Discovery And Characterization Of Small Molecule Rac1 Inhibitors, Jamie L. Arnst, Ashley L. Hein, Margaret A. Taylor, Nick Y. Palermo, Jacob I. Contreras, Yogesh A. Sonawane, Andrw O. Wahl, Michel M. Ouellette, Amarnath Natarajan, Ying Yan

Holland Computing Center: Faculty Publications

Aberrant activation of Rho GTPase Rac1 has been observed in various tumor types, including pancreatic cancer. Rac1 activates multiple signaling pathways that lead to uncontrolled proliferation, invasion and metastasis. Thus, inhibition of Rac1 activity is a viable therapeutic strategy for proliferative disorders such as cancer. Here we identified small molecule inhibitors that target the nucleotide-binding site of Rac1 through in silico screening. Follow up in vitro studies demonstrated that two compounds blocked active Rac1 from binding to its effector PAK1. Fluorescence polarization studies indicate that these compounds target the nucleotide-binding site of Rac1. In cells, both compounds blocked Rac1 binding …

Resource Allocation And Pricing In Secondary Dynamic Spectrum Access Networks, Enas Khairullah

Electronic Theses and Dissertations

The paradigm shift from static spectrum allocation to a dynamic one has opened many challenges that need to be addressed for the true vision of Dynamic Spectrum Access (DSA) to materialize. This dissertation proposes novel solutions that include: spectrum allocation, routing, and scheduling in DSA networks. First, we propose an auction-based spectrum allocation scheme in a multi-channel environment where secondary users (SUs) bid to buy channels from primary users (PUs) based on the signal to interference and noise ratio (SINR). The channels are allocated such that i) the SUs get their preferred channels, ii) channels are re-used, and iii) there …

A Workload-Centered Perspective On Reduced Crew Operations In Commercial Aviation, Daniela Schmid

H-Workload 2017: Models and Applications (Works in Progress)

Mental workload of a pilot, in short workload, depends on various characteristics of different accumulated tasks on the flight deck. Exogenous task demands and endogenous supply of attentional or information processing resources determine workload [1]. Performance is expect to drop if the demand exceeds the available resources of the pilot. Expertise and experience modulate the endogenous sup- ply of resources like perceiving, updating memory, planing, making a decision, and executing and processing a response. Subsequently, workload manifests in performance variables, subjective experience, and physiological parameters [2]. This is how we can summarize workload very brie y to introduce a model …

A Pilot Study Into Bio-Behavioural Measurements On Air Traffic Controllers In Remote Tower Operations, Tanja Bos, Rolf Zon, Eszter Furedi, Dezso Dudas, Daniel Rohacs

H-Workload 2017: Models and Applications (Works in Progress)

What is the impact of shifting to remote tower operations on the Air Traffic Controller? In the joint HungaroControl-Netherlands Aerospace Centre NLR pilot project an assessment of bio-behaviour on three air traffic controllers was made in a remote tower and conventional tower. The research is motivated by HungaroControl’s plans in shifting to remote tower operations at Budapest airport in the upcoming years. This pilot project is considered a feasibility study to investigate if an eye tracker and a heart rate sensor can be used to derive workload, the controllers’ division of attention over information elements, and scanning strategies in two …

A Systems Approach To Predicting And Measuring Workload In Rail Traffic Management Systems, Joanna Evans

H-Workload 2017: Models and Applications (Works in Progress)

The introduction of systems such as Traffic Management (TM) will result in a number of changes in how the railway is managed for operations and maintenance staff such as, an increase in collaborative working styles and shared responsibilities. In order to react to these changing operational demands and user needs, TM workstation designs need to have greater flexibility and be configurable to support the information requirements for each specific role as well as support each role during different scenarios. Although this flexibility in system design has the potential to enhance performance, it increases the complexity of measuring operator workload. The …

Forcing Optimality And Brandt's Principle, Domenico Napoletani, Marco Panza, Daniele C. Struppa

Mathematics, Physics, and Computer Science Faculty Books and Book Chapters

We argue that many optimization methods can be viewed as representatives of “forcing”, a methodological approach that attempts to bridge the gap between data and mathematics on the basis of an a priori trust in the power of a mathematical technique, even when detailed, credible models of a phenomenon are lacking or do not justify the use of this technique. In particular, we show that forcing is implied in particle swarms optimization methods, and in modeling image processing problems through optimization. From these considerations, we extrapolate a principle for general data analysis methods, what we call ‘Brandt’s principle’, namely the …

An Efficient Global Technique For Solving The Network Constrained Static And Dynamic Economic Dispatch Problem, Aamir Nawaz, Nasir Saleem, Ehtasham Mustafa, Umair Ali Khan

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a new approach for solving the economic load dispatch (ELD) problem with generator constraints and transmission losses. The constrained globalized Nelder-Mead algorithm is a newly proposed algorithm for solving economic dispatch problems with and without valve-point effects. Convex and nonconvex cost functions with equality and inequality constraints are difficult to optimize. To circumvent these problems, a robust global technique is desirable. In this paper, the constrained globalized Nelder--Mead algorithm is proposed to optimize the ELD problem globally using variance variable probability. To validate the proficiency of the proposed approach, statistical studies have been accomplished for different test …

Comparing Of Phase Shifting Method And One-Dimensional Continuous Wavelet Transform Method For Reconstruction Using Phase-Only Information, Gülhan Ustabaş Kaya, Zehra Saraç

Turkish Journal of Electrical Engineering and Computer Sciences

The one-dimensional continuous wavelet transform method has some advantages in hologram reconstruction, when used in the only phase, compared with the phase shifting method. This paper aims to discuss these advantages. One advantage is related to image quality. Another advantage is less power spent and saving time, because the one-dimensional continuous wavelet transform method uses only one hologram and the phase shifting method uses four holograms for recording and reconstruction processes. One final advantage is that the one-dimensional continuous wavelet transform method can also be used in real-time applications. Within the context of the ongoing optimization studies, this study will …

A Marching Algorithm For Isosurface Extraction From Face-Centered Cubic Lattices, Yusuf Sahi̇lli̇oğlu

Turkish Journal of Electrical Engineering and Computer Sciences

This work provides a novel method that extracts isosurfaces from face-centered cubic (FCC) lattices. It has been theoretically shown that sampling volumetric data on an FCC lattice tiled with rhombic dodecahedra is more efficient than sampling them on a Cartesian lattice tiled with cubes, in that the FCC lattice can represent the same data set as a Cartesian lattice with the same accuracy, yet with approximately 23% fewer samples. This fact, coupled with the good properties of rhombic dodecahedra, encouraged us to develop this related isosurface extraction technique. Thanks to the sparser sampling required by the FCC lattices, the de …

Robust Seed Detection For Coronary Arteries Segmentation Using Thresholded Frangi Response, Sammer Zai, Muhammad Ahsan Ansari, Soon-Young Song, Young Shik Moon

Turkish Journal of Electrical Engineering and Computer Sciences

Automatic detection of initial seed points has become an essential step towards delineating coronary arteries in coronary computed tomography angiography (CCTA) images due to image inhomogeneity and other factors. Most coronary segmentation algorithms require user interaction for seed point selection, which may lead to erroneous segmentation. In this study, we present an improved technique of seed detection for coronary segmentation using a thresholded Frangi response. Before computing region of interest (ROI), the proposed method first computes the Frangi response of the complete CCTA volume, followed by thresholding with respect to quantile and median values, and then the ROI selection procedure …

A Novel Hybrid Approach Based On A Chaotic Cloud Gravitational Search Algorithm To Complicated Image Template Matching, Weijia Cui, Yuzhu He

Turkish Journal of Electrical Engineering and Computer Sciences

Template matching is the process of accurately extracting the interesting regions in a source image according to reference templates. In this paper, the gravitational search algorithm (GSA) is employed as a novel search strategy for template matching. However, the basic GSA is easily trapped in a local optimum and has a poor exploitation ability. In this paper, to enhance the optimization performance of GSA, a novel cross-search strategy based on chaotic global search (CGS) and cloud local search (CLS) is incorporated into GSA. The new variant is named chaotic cloud GSA (CCGSA). CGS makes full use of the ergodicity of …

A Novel Approach To Solve Transient Stability Constrained Optimal Power Flow Problems, Huy Nguyen-Duc, Linh Tran-Hoai, Dieu Vo Ngoc

Turkish Journal of Electrical Engineering and Computer Sciences

This paper proposes an approach to solve the transient stability constraint optimal power flow (TSC-OPF) problem. The transient stability constraints are expressed as the critical clearing time (CCT) of different contingencies, and are approximated using artificial neural networks (ANNs). The ANNs provide a nonlinear, differentiable mapping between the load flow variables and the CCT. As a result, the TSC-OPF with multiple transient stability constraints can be solved very efficiently with little additional computational burden. The effectiveness of the proposed method is demonstrated with the IEEE 39 bus and the IEEE 300 bus systems.

Low-Power Voltage To A Frequency-Based Smart Temperature Sensor With +0.8/-0.75 $^{\Circ}$C Accuracy For -55 $^{\Circ}$C To 125 $^{\Circ}$C, Mudasir Bashir, Sreehari Rao Patri, Krishna Prasad

Turkish Journal of Electrical Engineering and Computer Sciences

The high power densities in system-on-chips demand accurate, low power, and compact smart temperatures for thermal monitoring. In this paper, a low-power CMOS-based smart temperature sensor, operating in the subthreshold region, for military applications (-55 $^{\circ}$C to 125 $^{\circ}$C) is presented. The sensor exploits the thermal dependency of the threshold voltage of MOS transistors to generate a voltage proportional to absolute temperature ($V_{PTAT})$. A frequency locked loop technique is employed to generate frequency from $V_{PTAT}$. The frequency variation due to temperature is measured by counting the rising edge with an asynchronous 12-bit counter. The large die area and requirement of …

Ieee Access Special Section Editorial: Emergent Topics For Mobile And Ubiquitous Systems In Smartphone, Iot, And Cloud Computing Era, Takahiro Hara, Stephan Sigg, Lei Shu, Francesco De Pellegrini, Chiara Petrioli, Sanjay Kumar Madria

Computer Science Faculty Research & Creative Works

No abstract provided.

Zhvillimi Dhe Implementimi I Platformës Web Gis Në Komunën E Gjilanit, Adelina Nura

Theses and Dissertations

Sistemei e Informacionit Gjeografik (GIS) është nder teknologjitë më moderne që kanë gjetur përdorim në shumë fusha. Shumë vende tashmë kanë pjesë të pandashme sistemin GIS pothuajse në të gjithë sektorët.

Pasi që GIS aplikacionet përdoren nga komunitetet, institucionet kërkimore, shkencëtarët mjedisorë, organizatat shëndetësore, planifikuesit e përdorimit të tokës, bizneset dhe agjencitë qeveritare në të gjitha nivelet por jo edhe te gjithë qytetaret te cilet nuk kanë qasje në te dhenat per inofrmacionet rreth pronave private te tyre për planet urbanistike, gjetjen e lokacioneve të përshtatshme për ndërtim, njoftime mbi shtrirjen e infrastrukturës qoft asaj rrugore apo edhe atyre përcjellëse …

Infrastruktura Dhe Shërbimet Komunikuese Në Një Korporatë Të Madhësisë Së Mesme- Aplikimi Në Biznesin E Shitjes, Valon Topalli

Theses and Dissertations

Në qdo ndërrmarrje është e rëndësishme që shërbimet të cilat I ofron të jenë të një kualiteti të lartë,mirpo cilësia e shërbimeve të ofruara nga një rrjete varet nga shumë faktorë.Një ndërë faktorët më të rëndsishëm është teknologjia e cila përdoret për komounikimin ndërmjett pikave të asaj kompanie dhe paisjet që përdoren për të ndërtuar atë rrjetë të komunikimit. Megjithëse prodhuesit e pajisjeve të TI-së vazhdimisht ofrojnë zgjidhje të ndryshme për të rritur cilësinë e ofrimit të shërbimeve përmes TI-së. Është e pamundshme që me hovin që ka teknologjia informative ditëve të sotme, një organizatë të furnizohet në vazhdimësi me …

Krahasimi I Teknologjive Për Zhvillim Të Web – Asp.Net Kundrejt Php, Rexhep Rexhepi

Theses and Dissertations

E-biznesi (biznesi elektronik) është sjellja e proceseve të biznesit në internet. Këto procese elektronike të biznesit përfshijnë blerjen dhe shitjen e produkteve, furnizimet dhe shërbimet, shërbimet e klientëve, pagesat dhe procedimet, menaxhimi i kontrollit të produkteve, shkëmbimi i informacionit, etj. Ato janë bërë platformë për kompanitë, që t’i përmbushin nevojat e bizneseve të tyre. Në këtë rast, ueb teknologjitë që shfrytëzohen për zhvillimin e ueb aplikacioneve dhe ueb faqeve janë bërë shumë të rëndësishme.

Publikimi i ueb faqeve është një nga mënyrat më efikase për të paraqitur veprimtarinë tonë për publikun e gjerë. Kjo tezë përshkruan zhvillimin dhe performancën e …

Managing Cities With Urban Computing, Singapore Management University

Research@SMU: Connecting the Dots

SMU Professors Lau Hoong Chuin and Lim Yun Fong are combining their mathematical, computational and business know-how to address challenges facing the inner-city deliveries of orders and shipments.

See the papers:

• A rolling horizon auction mechanism and virtual pricing of shipping capacity for urban consolidation centers
• Achieving economic and environmental sustainabilities in urban consolidation center with bicriteria auction
• Retail precinct management: A case of commercial decentralization in Singapore

Research@Smu: Connecting The Dots, Singapore Management University

Research@SMU: Connecting the Dots

The word “Management” in the name of our university was carefully and deliberately chosen to address the needs of institutions and decisionmakers across all segments of society: business enterprises and the private sector, government and the public sector, and civil society and the people sector. Unless you are already familiar with the breadth and depth of research output from Singapore Management University (SMU), you would naturally assume that we were a “management” university that was focusing exclusively on business – in essence, a large business school. The reality is quite different.

Through this book, you will gain a more complete …