Computer Sciences Commons^™

The Coherence Of Conceptual Primitives, Jamie C. Macbeth, Marydjina Barionnette

Computer Science: Faculty Publications

Intelligent systems that process natural language need representations of knowledge to support a human-like thought process, and they often use natural language words or phrases to name and represent concepts in a knowledge base. But some theories of cognition claim that language and thought are not the same thing, and that human thought processes occur at a deeper level of representation than words and phrases in language. In this paper we present results of a human subjects study of language-free primitive decomposition as a representation for commonsense knowledge. We found that our subjects could comprehend and use a primitive decomposition …

Interim Report, Hd-51897-14, Image Analysis For Archival Discovery (Aida), January 2016, Elizabeth M. Lorang, Leen-Kiat Soh

CDRH Grant Reports

In the third six months of work on "Image Analysis for Archival Discovery," the project team has made progress toward the goals outlined in our report from June 2015. As we reported in June 2015, we realized that our original plan to analyze 7 million pages from Chronicling America was overly ambitious for the grant period, and we revised our goal to complete a thorough case study of our methodology and code for all newspaper images in Chronicling America from the period 1836-1840. Activities undertaken, toward this and other grant goals, from June 2015–December 2015:

• Publication of the article, "Developing …

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The Relation Between Patient Education And Picc Line Occlusion, Patricia Louise Petroulias

Wayne State University Dissertations

The purpose of this study was to test the feasibility of using an electronic tablet to supplement patient and caregiver education about PICC line maintenance and to compare the percentage of PICC line complications in the intervention group with national percentage rates for patients and caregivers. Newly diagnosed cancer patients who had PICC lines inserted participated in this study. They used an electronic tablet to learn the 10 steps for flushing their PICC lines correctly. They also met with the researcher via FaceTime to review the steps.

A total of 11 patients participated in this quasi-experimental pilot study. They completed …

Bytewise Approximate Matching: The Good, The Bad, And The Unknown, Vikram S. Harichandran, Frank Breitinger, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

Hash functions are established and well-known in digital forensics, where they are commonly used for proving integrity and file identification (i.e., hash all files on a seized device and compare the fingerprints against a reference database). However, with respect to the latter operation, an active adversary can easily overcome this approach because traditional hashes are designed to be sensitive to altering an input; output will significantly change if a single bit is flipped. Therefore, researchers developed approximate matching, which is a rather new, less prominent area but was conceived as a more robust counterpart to traditional hashing. Since the conception …

Openthinning: Fast 3d Thinning Based On Local Neighborhood Lookups, Tobias Post, Christina Gillmann, Thomas Wischgoll, Hans Hagen

Computer Science and Engineering Faculty Publications

3D Thinning is an often required image processing task in order to perform shape analysis in various applications. For researchers in these domains, a fast, flexible and easy to access implementation is required. Open source solutions, as the Insights Segmentation and Registration Toolkit (ITK), are often used for image processing and visualization tasks, due to their wide range of provided algorithms. Unfortunately, ITK’s thinning implementation is computational expensive and allows solely one specific thinning approach. Therefore, this work presents OpenThinning, an open source thinning solution for 3D image data. The implemented algorithm evaluates a moving local neighborhood to find deletable …

Modeling, Learning And Reasoning About Preference Trees Over Combinatorial Domains, Xudong Liu

Theses and Dissertations--Computer Science

In my Ph.D. dissertation, I have studied problems arising in various aspects of preferences: preference modeling, preference learning, and preference reasoning, when preferences concern outcomes ranging over combinatorial domains. Preferences is a major research component in artificial intelligence (AI) and decision theory, and is closely related to the social choice theory considered by economists and political scientists. In my dissertation, I have exploited emerging connections between preferences in AI and social choice theory. Most of my research is on qualitative preference representations that extend and combine existing formalisms such as conditional preference nets, lexicographic preference trees, answer-set optimization programs, possibilistic …

New Secure Solutions For Privacy And Access Control In Health Information Exchange, Ahmed Fouad Shedeed Ibrahim

Theses and Dissertations--Computer Science

In the current digital age, almost every healthcare organization (HCO) has moved from storing patient health records on paper to storing them electronically. Health Information Exchange (HIE) is the ability to share (or transfer) patients’ health information between different HCOs while maintaining national security standards like the Health Insurance Portability and Accountability Act (HIPAA) of 1996. Over the past few years, research has been conducted to develop privacy and access control frameworks for HIE systems. The goal of this dissertation is to address the privacy and access control concerns by building practical and efficient HIE frameworks to secure the sharing …

Assessing Information Technology And Business Alignment In Local City Government, Leslie Milbourne D'Anjou

Walden Dissertations and Doctoral Studies

Top executives are interested in more transparent and formalized structures, applicable measurements, and clear justification of alignment. Limited or improper information technology governance (ITG) affects the business strategy that will ultimately influence the overall business alignment in local city government agencies (LCGAs). The problem addressed in this study was the lack of information regarding LCGAs IT/business strategic alignment maturity model (SAMM) level and the LCGAs' employment size. The purpose of this survey study was to evaluate 48 LCGA participants in the Southwestern part of the United States and compare their alignment perceptions with their cities' employment size. The theoretical framework …

Falls And Related Injuries Based On Surveillance Data: U.S. Hospital Emergency Departments, George K. Quarranttey

Walden Dissertations and Doctoral Studies

Falls can lead to unintentional injuries and possibly death, making falls an important public health problem in terms of related health care cost, incurred disabilities, and years of life lost. Approximately 1 in every 3 Americans ages 65 years and older is at risk of falling at least once every year. Children, young adults, and middle-aged adults are also vulnerable to falls. The purpose of this study was to examine the epidemiology of falls and fall-related injuries using surveillance data from nationally representative samples of hospital emergency departments in United States. The study was guided by a social-ecological model on …

Effects Of An Integrated Electronic Health Record On An Academic Medical Center, Kenneth E. Koppenhaver Ii

Walden Dissertations and Doctoral Studies

The debate about healthcare reform revolves around a triple aim of improving the health of populations, improving the patient experience, and reducing the cost of care. A major tool discussed in this debate has been the adoption of electronic health record (EHR) systems to record and guide care delivery. Due to low adoption rates and limited examples of success, the problem was a lack of understanding by healthcare organizations of how the EHR fundamentally changes an organization through the interactions of people, processes, and technology over time. The purpose of this case study was to explore the people, processes, and …

A Multisite Hospital's Transition To An Interoperable Electronic Health Records System, Valerie Gerene Drill

Walden Dissertations and Doctoral Studies

The health care industry is transforming into an industry that requires health information technology, yet many health care organizations are reluctant to implement new technology. The purpose of this case study was to explore strategies that led to a successful transition from an older electronic health record (EHR) system to a compliant EHR system at a multisite hospital system (MHS). The study included face-to-face and phone interviews with 12 managers who worked on the transition of an MHS's EHR system in the Pacific Northwest region of the United States. The technology acceptance model was used to frame the study. Audio …

Exploring The Cybersecurity Hiring Gap, Adam O. Pierce

Walden Dissertations and Doctoral Studies

Cybersecurity is one of the fastest growing segments of information technology. The Commonwealth of Virginia has 30,000 cyber-related jobs open because of the lack of skilled candidates. The study is necessary because some business managers lack strategies for hiring cybersecurity professionals for U.S. Department of Defense (DoD) contracts. The purpose of this case study was to explore strategies business managers in DoD contracting companies used to fill cybersecurity positions. The conceptual framework used for this study was the organizational learning theory. A purposeful sample of 8 successful business managers with cybersecurity responsibilities working for U.S. DoD contracting companies that successfully …

Exploring Factors Influencing Information Technology Portfolio Selection Process In Government-Funded Bioinformatics Projects, Braulio J. Cabral

Walden Dissertations and Doctoral Studies

In 2012, the National Cancer Institute's (NCI) Board of Scientific Advisors (BSA) conducted a review of the Center for Biomedical Informatics and Information Technology's (CBIIT) bioinformatics program. The BSA suggested that the lack of a formal project selection process made it difficult to determine the alignment of projects with the mission of the organization. The problem addressed by this study was that CBIIT did not have an in-depth understanding of the project selection process and the factors influencing the process. The purpose of this study was to understand the project selection process at CBIIT. The research methodology was an exploratory …

Exploring Strategies That It Leaders Use To Adopt Cloud Computing, Zeeshan H. Khan

Walden Dissertations and Doctoral Studies

Information Technology (IT) leaders must leverage cloud computing to maintain competitive advantage. Evidence suggests that IT leaders who have leveraged cloud computing in small and medium sized organizations have saved an average of $1 million in IT services for their organizations. The purpose of this qualitative single case study was to explore strategies that IT leaders use to adopt cloud computing for their organizations. The target population consisted of 15 IT leaders who had experience with designing and deploying cloud computing solutions at their organization in Long Island, New York within the past 2 years. The conceptual framework of this …

An Exploration Of Baby Boomer Mass Retirement Effects On Information Systems Organizations, Nithyanandam Mathiyazhagan Mathiyazhagan

Walden Dissertations and Doctoral Studies

The potential knowledge loss from Baby Boomer generation employee retirements can negatively affect information systems organizations. The purpose of this hermeneutic phenomenology study was to explore the lived experiences of the leaders and managers of information systems organizations as they tried to maintain operational continuity after Baby Boomer worker retirements. The impact of this issue was the operational continuity after the Baby Boomer worker retirement. The social impact of this issue was the knowledge loss events that might result in business loss or even bankruptcy. McElroy's knowledge life cycle model was the conceptual framework for this study that included knowledge …

Spatial And Temporal Modeling For Human Activity Recognition From Multimodal Sequential Data, Jun Ye

Electronic Theses and Dissertations

Human Activity Recognition (HAR) has been an intense research area for more than a decade. Different sensors, ranging from 2D and 3D cameras to accelerometers, gyroscopes, and magnetometers, have been employed to generate multimodal signals to detect various human activities. With the advancement of sensing technology and the popularity of mobile devices, depth cameras and wearable devices, such as Microsoft Kinect and smart wristbands, open a unprecedented opportunity to solve the challenging HAR problem by learning expressive representations from the multimodal signals recording huge amounts of daily activities which comprise a rich set of categories. Although competitive performance has been …

Food Finder Mobile Application: Reducing Food Wastage And Saving Money Through Mobile Application Technology, Rohana Sosa, Jacob Rein, Jean Coppola

Student and Faculty Research Days

Food Finder is an Android App designed to keep track of the user’s food inventory. Its notable features include, but are not limited to, a barcode scanner, e-mail sharing of data, and being language-neutral. The target audience is universal, with special emphasis on the elderly.

Food Finder was designed to be simple and straightforward to navigate. The user can add items either by keying them in or by scanning the item bar code; items are organized by location, with tabs for refrigerator, freezer, and pantry, as well as a tab for items that they need. The “share” feature allows users …

Gone In 200 Milliseconds: The Challenge Of Blocking Malvertising, Catherine Dwyer, Ameet Kanguri

Student and Faculty Research Days

Online advertising is a multi-billion dollar global industry that lets advertisers serve ads to specific customers of interest as they browse the web. Using real time bidding (RTB), as web visitors land on a site, advertising networks are alerted of space available and whatever profile information can be gleaned about the visitor. Ad networks then auction this combination of space and profile through ad exchanges, and the winning bid's ad content is served to the web visitor. The entire process, from a visitor landing on a publisher's page to ads being auctioned, takes 200 milliseconds--the time needed to snap your …

Computational Progress Towards Maximum Distinguishability Of Bell States By Linear Evolution And Local Measurement, Victor Shang

HMC Senior Theses

Many quantum information protocols rely on the ability to distinguish between entangled quantum states known as Bell states. However, theoretical limits exist on the maximal distinguishability of these entangled states using linear evolution and local measurement (LELM) devices. In the case of two particles entangled in multiple qubit variables, the maximum number of distinguishable Bell states is known. However, in the more general case of two particles entangled in multiple qudit variables, only an upper bound is known under additional assumptions. I have written software in Matlab and Mathematica to explore computationally the maximum number of Bell states that can …

Fast And De-Noise Support Vector Machine Training Method Based On Fuzzy Clustering Method For Large Real World Datasets, Omid Naghash Almasi, Modjtaba Rouhani

Turkish Journal of Electrical Engineering and Computer Sciences

Classifying large and real-world datasets is a challenging problem in machine learning algorithms. Among the machine learning methods, the support vector machine (SVM) is a well-known approach with high generalization ability. Unfortunately, while the number of training data increases and the data contain noise, the performance of SVM significantly decreases. In this paper, a fast and de-noise two-stage method for training SVMs to deal with large, real-world datasets is proposed. In the first stage, data that contain noises or are suspected to be noisy are identified and eliminated from the genuine training dataset. The process of elimination and identification is …

A New Cmos Zc-Cdta Realization And Its Filter Applications, Ersi̇n Alaybeyoğlu, Hulusi̇ Hakan Kuntman

Turkish Journal of Electrical Engineering and Computer Sciences

The Z copy current differencing transconductance amplifier (ZC-CDTA) is a new current-mode active element that was introduced recently. ZC-CDTA is improved from the current differencing transconductance amplifier (CDTA) and has increased its universality. In the current study, a CMOS implementation of ZC-CDTA is proposed. The first stage of ZC-CDTA consists of a current differencing unit. The output stage consists of a dual output transconductance amplifier. Furthermore, a third-generation current conveyor is used to copy the Z terminal current instead of a classical current mirror. A fourth-order filter application employing ZC-CDTAs is given and simulation results are added. The ZC-CDTA-based filter …

Design And Implementation Of A Man-Overboard Emergency Discovery System Based On Wireless Sensor Networks, Abdullah Sevi̇n, Cüneyt Bayilmiş, İsmai̇l Ertürk, Hüseyi̇n Eki̇z, Ahmet Karaca

Turkish Journal of Electrical Engineering and Computer Sciences

Recently, wireless sensor networks (WSNs) have been widely employed in many different fields such as military, surveillance, health, agricultural, automation, and environmental monitoring. This paper presents a designed and implemented WSN-based man-overboard emergency discovery system, abbreviated as W-MEDS, that discovers the location of a person in emergency circumstances and runs an alarm system on a ship. The developed W-MEDS carries out a fast man-overboard (MOB) discovery and initiates the vital rescue procedure. It mainly consists of a WSN and a control and discovery system. When a MOB accident occurs, this situation is easily detected through the WSN nodes capable of …

Residential Electricity Pricing Using Time-Varying And Non-Time-Varying Scenarios: An Application Of Game Theory, Najme Khaleghifar, Hamid Amadeh, Mohammad Hosein Rezaeian Koochi

Turkish Journal of Electrical Engineering and Computer Sciences

residential consumer and the power network. With the growth of power systems and the advent of new energy sources, such as solar energy, it seems to be more essential to investigate how the network and the consumer can interact with each other to achieve more financial benefits. To do that, a static game is defined considering the fact that there is a direct relationship between the amount of load shifted by the consumer and the incentive offered by the network. It is concluded that the Nash equilibrium of this game is when the consumer decides to cooperate with the network …

A Robust Undervoltage Load Shedding Scheme Against Voltage Instability, Iman Kaffashan, Seyed Mohammad Taghi Mirali Mortezaee, Turaj Amraee

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Predicting Acute Hypotensive Episode By Using Hybrid Features And A Neuro-Fuzzy Network, Marzieh Abbasinia, Fardad Farokhi, Shahram Javadi

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents an approach for acute hypotensive episode (AHE) time series forecasting based on hybrid feature space and a neuro-fuzzy network. Prediction was accomplished through a combination of time domain and wavelet features by using six vital time series of each patient, obtained from MIMIC-II and available in the context of the Physionet-Computers in Cardiology 2009 Challenge. At first, statistical time domain features were used and then the wavelet coefficient was utilized for extracting time scale features. Further UTA feature selection was applied and 30 effective features were determined and achieved to predict AHE with 96.30 accuracy 1.5 h …

Energy Efficient Multiconstrained Optimization Using Hybrid Aco And Ga In Manet Routing, Nivetha Senthil Kumaran, Asokan Ramasamy

Turkish Journal of Electrical Engineering and Computer Sciences

Nodes in mobile ad hoc networks (MANET) suffer from limited battery power and bandwidth. Particularly for real time multimedia communications through MANET, metrics like residual node energy, bandwidth, and end-to-end delay have major impacts. In MANET, designing a dynamic routing algorithm to satisfy quality of service (QoS) requirements is a challenging task. Additionally, multiconstrained QoS routing aims to optimize multiple QoS metrics while providing required network resources and is an admittedly complex problem. It has been proved to be NP-complete when a combination of additive, concave, and multiplicative metrics are considered. Hence, this problem can be solved using metaheuristic methods …

A Centralized Self-Adaptive Fault Tolerance Approach Based On Feedback Control For Multiagent Systems, Şebnem Bora, Oğuz Di̇kenelli̇

Turkish Journal of Electrical Engineering and Computer Sciences

Our research introduces a self-adaptive fault tolerance approach for multiagent systems that enables the system to avoid crash failures. It is a replication-based approach that exploits a feedback control loop and a proportional (P) controller within a replication infrastructure. Thus, we are able to both observe the agents' behaviors to estimate criticalities and determine the number of replicas in replica groups with respect to the agents' criticalities and the number of available resources. Thus, agents that are to be replicated and the numbers of replicas in replica groups are automatically and adaptively identified in dynamic environments. We implement this approach …

Exploring Deviant Hacker Networks (Dhm) On Social Media Platforms, Samer Al-Khateeb, Kevin J. Conlan, Nitin Agarwal, Ibrahim Baggili, Frank Breitinger

Journal of Digital Forensics, Security and Law

Online Social Networks (OSNs) have grown exponentially over the past decade. The initial use of social media for benign purposes (e.g., to socialize with friends, browse pictures and photographs, and communicate with family members overseas) has now transitioned to include malicious activities (e.g., cybercrime, cyberterrorism, and cyberwarfare). These nefarious uses of OSNs poses a significant threat to society, and thus requires research attention. In this exploratory work, we study activities of one deviant groups: hacker groups on social media, which we term Deviant Hacker Networks (DHN). We investigated the connection between different DHNs on Twitter: how they are connected, identified …

Log Analysis Using Temporal Logic And Reconstruction Approach: Web Server Case, Murat Gunestas, Zeki Bilgin

Journal of Digital Forensics, Security and Law

We present a post-mortem log analysis method based on Temporal Logic (TL), Event Processing Language (EPL), and reconstruction approach. After showing that the proposed method could be adapted to any misuse event or attack, we specifically investigate the case of web server misuses. To this end, we examine 5 different misuses on Wordpress web servers, and generate corresponding log files of these attacks for forensic analysis. Then we establish attack patterns and formalize them by means of a special case of temporal logic, i.e. many sorted first order metric temporal logic (MSFOMTL). Later on, we implement these attack patterns in …

Siguria Në Shfletues, Ardi Gafurri

Theses and Dissertations

Zhvillimi i teknologjisë dhe nevojat e qasjes se informacioneve në mënyrë sa më të shpejtë dhe sa me efikase ka bërë që shumica e veprimeve të kryhen me ndihmën e pajisjeve kompjuterike, përdorimi i paisjeve kompjuterike nëpërmes internetit çdo ditë është duke u shtuar por shumica e përdoruesve nuk janë të vetedijshem se sa të sigurt janë.

Qëllimi i kësaj teme është për vetëdijesimin e përdoruesve ndaj sulmeve në shfletues që tani çdo ditë e më shumë janë duke u shtuar. Në këtë punim do të tregoj për disa sulme të shfletuesve të cilat përdoren për qellime të keqija siq …