Computer Sciences Commons^™

Orthogonal Array Based Performance Improvement In The Gravitational Search Algorithm, Ökkeş Tolga Altinöz, Asim Egemen Yilmaz, Gerhard Wilhelm Weber

Turkish Journal of Electrical Engineering and Computer Sciences

The gravitational search algorithm (GSA) is a novel heuristic method inspired by Newton's gravity and velocity equations. In addition, it is a population-based algorithm, in which each member (called an agent) in the population has a mass, velocity, and acceleration. Beginning with the first population state, agents influence each other via mass and velocity relations. This mutual effect causes agents to reach the optimum. Hence, the performance of the GSA to attain the optimum is related to the initial population formation, like other population-based algorithms. In this study, the orthogonal array (OA) concept is applied and injected to the GSA …

A New Technique For Rare-Event Simulation Based On Partition Of The Region, Amir Jalaly Bidgoly, Mohammad Abdollahi Azgomi

Turkish Journal of Electrical Engineering and Computer Sciences

Rare events are an important limitation of discrete-event simulation in some areas of applications. The existing rare-event simulation (RES) techniques, such as importance sampling (IS), splitting, and RESTART, have been used for RES so far. However, these techniques not only have some limitations, but also are not general or easy to use. In this paper, the partition of the region (PoR) method is used as a variance reduction technique in a new RES technique for usage with a wide range of modeling and simulation languages. Three variants of the proposed technique will be introduced: simple PoR, recursive PoR, and advanced …

Model Of A Photovoltaic Panel Emulator In Matlab-Simulink, Hayretti̇n Can

Turkish Journal of Electrical Engineering and Computer Sciences

Being able to behave electrically similar to photovoltaic (PV) panels, PV emulator systems make it possible to perform different PV system tests under various operation conditions. In this paper, a model of a PV panel emulator is presented using the Power System Blockset under MATLAB-Simulink. The simulation of the emulator system is developed for testing a controller prior to a real-time implementation. The model can handle the dependence of all of the parameters in the model with respect to solar radiation and temperature. The simulation results show that the output characteristics of the simulator have good agreement with those of …

Control, Design, And Implementation Of A Low-Cost Ultracapacitor Test System, Hasan Hüseyi̇n Eroğlu, Ahmet Masum Hava

Turkish Journal of Electrical Engineering and Computer Sciences

This paper reviews the ultracapacitor (UC) test procedures, establishes simple and economical power electronic conversion system-based UC test equipment, and experimentally evaluates the performance of a UC module. The power converter hardware structure and control algorithms of the designed system are discussed in detail. The high bandwidth and high accuracy current programming capability of the converter for the purpose of charging and discharging the UC, as required during testing, is illustrated via the experimental results. The UC equivalent circuit parameters are extracted. Successful constant current and constant power charging/discharging operating performances are demonstrated. The results of this study help with …

An Event-Driven Wsn Mac Protocol Design Based On Active Node And Dynamic Time Slot Allocation, Nükhet Sazak, İsmai̇l Ertürk, Etem Köklükaya, Murat Çakiroğlu

Turkish Journal of Electrical Engineering and Computer Sciences

The unique features of wireless sensor networks (WSNs) make them suitable for a wide range of applications in many different areas. However, with many of the protocols and algorithms used in traditional wireless networks, it is usually neither feasible nor possible to apply them directly to WSNs due to the strict resource constraints of tiny sensor nodes. Moreover, application-specific approaches for communication protocols are usually imposed since WSN applications have distinct requirements. In this study, event-driven WSN applications, where a number of sensor nodes are randomly and densely deployed in remote and difficult to reach locations, are targeted. In such …

Role Of Energy Management In Hybrid Renewable Energy Systems: Case Study-Based Analysis Considering Varying Seasonal Conditions, Recep Yumurtaci

Turkish Journal of Electrical Engineering and Computer Sciences

The recent popularity of alternative energy technologies is mainly promoted by the increasing awareness of environmental concerns as well as the economic impacts of the depleting fossil fuel reserves. Among several alternative technologies, wind- and solar-based energy have been given specific importance with government-based support for providing a cost-effective structure to realize better penetration of such environmentally friendly sources in the energy market. Even these sources are advantageous over the conventional means of energy production from many aspects, a main drawback being the total dependence on the meteorological conditions (wind speed, solar radiation, temperature, etc.) of the wind and solar …

Opf-Based Reactive Power Planning And Voltage Stability Limit Improvement Under Single Line Outage Contingency Condition Through Evolutionary Algorithms, Sakthivel Padaiyatchi, Mary Daniel

Turkish Journal of Electrical Engineering and Computer Sciences

Reactive power planning is vital for maintaining the voltage stability of power systems and evolutionary algorithms are highly useful for achieving this task. This paper compares the effectiveness of the differential evolution (DE) and evolutionary programming (EP) algorithms in optimizing the reactive power planning of power systems under line outage contingency conditions. DE is efficient in exploration through the search space of the problem, while EP is simple and easy to implement. The low cost but fast response thyristor-controlled series capacitor (TCSC) flexible alternating current transmission system (FACTS) device is incorporated to control the power flows. The optimal settings of …

Drift Detection Using Uncertainty Distribution Divergence, Patrick Lindstrom, Brian Mac Namee, Sarah Jane Delany

Articles

Data generated from naturally occurring processes tends to be non-stationary. For example, seasonal and gradual changes in climate data and sudden changes in financial data. In machine learning the degradation in classifier performance due to such changes in the data is known as concept drift and there are many approaches to detecting and handling it.

Most approaches to detecting concept drift, however, make the assumption that true classes for test examples will be available at no cost shortly after classification and base the detection of concept drift on measures relying on these labels. The high labelling cost in many domains …

The Role Of Test Administrator And Error, Michael Edward Brockly

Open Access Theses

This study created a framework to quantify and mitigate the amount of error that test administrators introduced to a biometric system during data collection. Prior research has focused only on the subject and the errors they make when interacting with biometric systems, while ignoring the test administrator. This study used a longitudinal data collection, focusing on demographics in government identification forms such as driver's licenses, fingerprint metadata such a moisture and skin temperature, and face image compliance to an ISO best practice standard. Error was quantified from the first visit and baseline test administrator error rates were measured. Additional training, …

Integrating The Sap Software Into The Manufacturing Engineering Curriculum, Lin Qian

Open Access Theses

The concept of Enterprise Resource Planning (ERP) was developed to integrate data efficiently and eliminate redundancy within organizations. Worldwide industries rely on ERP systems to keep a competitive advantage in world market place. Besides, cross-functional knowledge is required in industry. It is critical that schools integrate ERP concepts and methods in to academic curricula for Technology and Engineering School.

This thesis examined the effectiveness of a simulation game as a method for teaching for ERP systems in Technology and Engineering. The quasi-experimental design was used in this study to determine if the SAP simulation game had an impact on students' …

Interactive Multivariate Data Exploration For Risk-Based Decision Making, Silvia Oliveros Torres

Open Access Theses

Risk-based decision making is a data-driven process used to gather data about outcomes, analyze different scenarios, and deliver informed decisions to mitigate risk.

An interactive visual analytics system can help derive insights from large amounts of data and facilitate the risk management process thereby providing a suitable solution to examine different decision factors. This work introduces two separate systems that

incorporate visual analytics techniques to help the users in the tasks of identifying patterns, finding correlations, designing mitigation strategies, and assisting in the long term planning and assessment process. The first system looks at the National Health

and Nutrition Examination …

An Analysis Of Underlying Competencies And Computer And Information Technology Learning Objectives For Business Analysis, Ryan Thomas Quigley

Open Access Theses

This research examines whether the Computer and Information Technology (CIT) department at Purdue University should develop a business analyst concentration. The differences between system and business analysts, evolution of the business analyst profession, job demand and trends, and applicable model curricula were explored to support this research. Review of relevant literature regarding the topics suggested that a business analyst concentration should be developed. A gap analysis was performed to determine how well selected CIT courses address the skills and competencies required by today's business analysts. The primary finding, as a result of the analysis, was that CIT courses alone are …

Distributed Digital Forensics On Pre-Existing Internal Networks, Jeremiah Jens Nielsen

Open Access Theses

Today's large datasets are a major hindrance on digital investigations and have led to a substantial backlog of media that must be examined. While this media sits idle, its relevant investigation must sit idle inducing investigative time lag. This study created a client/server application architecture that operated on an existing pool of internally networked Windows 7 machines. This distributed digital forensic approach helps to address scalability concerns with other approaches while also being financially feasible. Text search runtimes and match counts were evaluated using several scenarios including a 100 GB image with prefabricated data. When compared to FTK 4.1, a …

Text-Based Phishing Detection Using A Simulation Model, Gilchan Park

Open Access Theses

Phishing is one of the most potentially disruptive actions that can be performed on the Internet. Intellectual property and other pertinent business information could potentially be at risk if a user falls for a phishing attack. The most common way of carrying out a phishing attack is through email. The adversary sends an email with a link to a fraudulent site to lure consumers into divulging their confidential information. While such attacks may be easily identifiable for those well-versed in technology, it may be difficult for the typical Internet user to spot a fraudulent email.

The emphasis of this research …

Simulating Land Use Land Cover Change Using Data Mining And Machine Learning Algorithms, Amin Tayyebi

Open Access Dissertations

The objectives of this dissertation are to: (1) review the breadth and depth of land use land cover (LUCC) issues that are being addressed by the land change science community by discussing how an existing model, Purdue's Land Transformation Model (LTM), has been used to better understand these very important issues; (2) summarize the current state-of-the-art in LUCC modeling in an attempt to provide a context for the advances in LUCC modeling presented here; (3) use a variety of statistical, data mining and machine learning algorithms to model single LUCC transitions in diverse regions of the world (e.g. United States …

Information Measures For Statistical Orbit Determination, Alinda Kenyana Mashiku

Open Access Dissertations

The current Situational Space Awareness (SSA) is faced with a huge task of tracking the increasing number of space objects. The tracking of space objects requires frequent and accurate monitoring for orbit maintenance and collision avoidance using methods for statistical orbit determination. Statistical orbit determination enables us to obtain estimates of the state and the statistical information of its region of uncertainty given by the probability density function (PDF). As even collision events with very low probability are important, accurate prediction of collisions require the representation of the full PDF of the random orbit state. Through representing the full PDF …

Learning With An Insufficient Supply Of Data Via Knowledge Transfer And Sharing, Samir Al-Stouhi

Wayne State University Dissertations

As machine learning methods extend to more complex and diverse set of problems, situations arise where the complexity and availability of data presents a situation where the information source is not "adequate" to generate a representative hypothesis. Learning from multiple sources of data is a promising research direction as researchers leverage ever more diverse sources of information. Since data is not readily available, knowledge has to be transferred from other sources and new methods (both supervised and un-supervised) have to be developed to selectively share and transfer knowledge. In this dissertation, we present both supervised and un-supervised techniques to tackle …

On The Relationship Between The Vocabulary Of Bug Reports And Source Code, Amunugamage Buddhini Wathsala Bandara

Wayne State University Theses

The use of text retrieval techniques on concept location and bug localization yields remarkable benefits. The artifacts found in source code and bug reports contain important information related to the bug localization process. When locating the bugs, it is a programmer's task to formulate effective queries such that most of the predicted terms in the query appear in the relevant defect code, but not in most of the non-relevant source files. These queries are built based on the textual content found in the bug reports, especially the bug title and the description. A large body of research uses bug descriptions …

Code Clone Discovery Based On Concolic Analysis, Daniel Edward Krutz

CCAC Theses and Dissertations

Software is often large, complicated and expensive to build and maintain. Redundant

code can make these applications even more costly and difficult to maintain. Duplicated

code is often introduced into these systems for a variety of reasons. Some of which

include developer churn, deficient developer application comprehension and lack of

adherence to proper development practices.

Code redundancy has several adverse effects on a software application including an

increased size of the codebase and inconsistent developer changes due to elevated

program comprehension needs. A code clone is defined as multiple code fragments that

produce similar results when given the same input. …

Authorship Attribution With Function Word N-Grams, Russell Clark Johnson

CCAC Theses and Dissertations

Prior research has considered the sequential order of function words, after the contextual words of the text have been removed, as a stylistic indicator of authorship. This research describes an effort to enhance authorship attribution accuracy based on this same information source with alternate classifiers, alternate n-gram construction methods, and a genetically tuned configuration.

The approach is original in that it is the first time that probabilistic versions of Burrows's Delta have been used. Instead of using z-scores as an input for a classifier, the z-scores were converted to probabilistic equivalents (since z-scores cannot be subtracted, added, or divided without …

Effectiveness Of Evidence-Based Computerized Physician Order Entry Medication Order Sets Measured By Health Outcomes, Jacob Krive

CCAC Theses and Dissertations

In the past three years, evidence based medicine emerged as a powerful force in an effort to improve quality and health outcomes, and to reduce cost of care. Computerized physician order entry (CPOE) applications brought safety and efficiency features to clinical settings, including ease of ordering medications via pre-defined sets. Order sets offer promise of standardized care beyond convenience features through evidence-based practices built upon a growing and powerful knowledge of clinical professionals to achieve potentially more consistent health outcomes with patients and to reduce frequency of medical errors, adverse drug effects, and unintended side effects during treatment. While order …

Reducing The Cumulative File Download Time And Variance In A P2p Overlay Via Proximity Based Peer Selection, Uriel J. Carasquilla

CCAC Theses and Dissertations

The time it takes to download a file in a peer-to-peer (P2P) overlay network is dependent on several factors. These factors include the quality of the network between peers (e.g. packet loss, latency, and link failures), distance, peer selection technique, and packet loss due to Internet Service Providers (ISPs) engaging in traffic shaping. Recent research shows that P2P download time is adversely impacted by the presence of distant peers, particularly when traffic goes across an ISP that could be engaging in P2P traffic throttling activities. It has also been observed that additional delays are introduced when distant candidate nodes for …

Assessing Behavioral Intention To Use Low Social Presence Icts For Interpersonal Task Completion Among College Students: With Special Consideration Toward Short Message Service (Sms) Text-Messaging, Jeffrey Scott Linney

CCAC Theses and Dissertations

This study sought to investigate whether the popularity of Information Communication Technologies (ICTs) would impact the behavioral intention (BI) to use of these technologies to aid in interpersonal task completion. Out of the ICTs available today, the most popular is textmessaging, especially among a sizable percentage of the college population. Approximately 600 students at a small, private junior college in eastern North Carolina were invited to participate in this study with a target of 248 responses needed to comprise an adequate sample. A total of 259 usable surveys (n = 259) were received and analyzed.

Qualitative data collection instruments consisted …

An Aspect Pointcut For Parallelizable Loops, John Scott Dean

CCAC Theses and Dissertations

This study investigated the need for a pointcut for parallelizable loops in an aspect-oriented programming environment. Several prototype solutions exist for loop pointcuts, but the solutions are not very granular. In particular, they are not able to differentiate between loops that are parallelizable and those that are not. Being able to identify parallelizable loops automatically, as part of an aspect-oriented compiler's weaving process, is particularly important because (1) manually identifying parallelizable loops is known to be a difficult problem and (2) aspectizing parallelized loops can lead to a reduction in code tangling and an increase in separation of concerns.

This …

Toward The Implementation Of Augmented Reality Training, Charles Randall Mayberry

CCAC Theses and Dissertations

The United States Air Force (USAF) trains C-130H Loadmaster students at Little Rock Air Force Base (AFB) through a civilian contract. The Aircrew Training System (ATS) contractor utilizes a Fuselage Trainer (FuT) to provide scenarios for the Loadmaster students to practice loading and unloading a simulated aircraft. The problem was the USAF does not have enough training devices and these devices are not at a high enough fidelity to accomplish many of the aircraft functions to meet the training objectives before flying on the actual aircraft. The ATS has moved the pilot's initial training into the Weapon System Trainer (WST). …

Support Services For Millennial Undergraduates, Marie Pullan

CCAC Theses and Dissertations

Education has changed as a result of technological advances. Distance learning, particularly online learning, has rapidly increased its presence in higher education. Millennials, a new generation of students who have grown up with the Internet, are college-age. They expect access to the Internet to manage their daily lives. However, as they enter college, many discover that support services that are requisite to a successful college experience, are available on-campus but not online. The goal was to determine what contemporary college-aged students expect as online student support services so that institutions will know what to provide.

Data gathered through interviews with …

Pursuing And Completing An Undergraduate Computing Degree From A Female Perspective: A Quantitative And Qualitative Approach, Scott Ragsdale

CCAC Theses and Dissertations

The computing profession in the United States would benefit from an increasingly diverse workforce, specifically a larger female presence, because a more gender-balanced workforce would likely result in better technological solutions to difficulties in many areas of American life. However, to achieve this balance, more women with a solid educational foundation in computing need to enter the computing workplace. Yet a common problem is most colleges and universities offering computer-related degrees have found it challenging to attract females to their programs. Also, the women who begin a computing major have shown a higher tendency than men to leave the major. …

Promoting The Affective Domain Within Online Education, Stephen Roche

CCAC Theses and Dissertations

In the past decade Higher Education Institutions have experienced tremendous growth in enrollments. To meet this demand, many higher education institutions have embraced online education and its requisite technologies. Online education has matured, and studies focusing on the cognitive domain indicate that distance education is as effective as the traditional face-to-face instructional modality. However, there is a scarcity of affective domain studies due to: a) the need for the institutions of higher education to perform quantitative studies to establish the quality of online education b) the affective domain's inherent subjective nature, and c) the educational research environment has slow recognition …

Construction Of A Conceptualization Of Personal Knowledge Within A Knowledge Management Perspective Using Grounded Theory Methodology, Eric M. Straw

CCAC Theses and Dissertations

The current research used grounded theory methodology (GTM) to construct a conceptualization of personal knowledge within a knowledge management (KM) perspective. The need for the current research was based on the use of just two categories of knowledge, explicit and tacit, within KM literature to explain diverse characteristics of personal knowledge. The construct of tacit knowledge has often been explicated and debated in KM literature. The debate over tacit knowledge arose from the complex epistemological roots of tacit knowing and the construct of tacit knowledge popularized by organizational knowledge creation theory. The ongoing debate over tacit knowledge in KM literature …

Application Of A Layered Hidden Markov Model In The Detection Of Network Attacks, Lawrence Taub

CCAC Theses and Dissertations

Network-based attacks against computer systems are a common and increasing problem. Attackers continue to increase the sophistication and complexity of their attacks with the goal of removing sensitive data or disrupting operations. Attack detection technology works very well for the detection of known attacks using a signature-based intrusion detection system. However, attackers can utilize attacks that are undetectable to those signature-based systems whether they are truly new attacks or modified versions of known attacks. Anomaly-based intrusion detection systems approach the problem of attack detection by detecting when traffic differs from a learned baseline. In the case of this research, the …