Computer Engineering Commons^™

Node Filtering And Face Routing For Sensor Network, Umang Amatya

UNLV Theses, Dissertations, Professional Papers, and Capstones

Greedy forward routing and face routing algorithms have been extensively used for sending messages in sensor networks. In this thesis, we consider the problem of filtering redundant nodes in a sensor network as a pre-processing step for face routing. We propose two algorithms for identifying redundant nodes. We test the performance of proposed filtering algorithms on generated networks. The prototype algorithm for testing the proposed algorithms has been implemented in the Java programming language. Experimental investigation shows that the proposed filtering algorithms are effective in removing redundant nodes without compromising the network connectivity.

Cpu Scheduling For Power/Energy Management On Heterogeneous Multicore Processors, Rajesh Patel

UNLV Theses, Dissertations, Professional Papers, and Capstones

Power and energy have become increasingly important concerns in the design and implementation of today's multicore/manycore chips. Many methods have been proposed to reduce a microprocessor's power usage and associated heat dissipation, including scaling a core's operating frequency. However, these techniques do not consider the dynamic performance characteristics of an executing process at runtime, the execution characteristics of the entire task to which this process belongs, the process's priority, the process's cache miss/cache reference ratio, the number of context switches and CPU migrations generated by the process, nor the system load. Also, many of the techniques that employ dynamic frequency …

Measuring Merci: Exploring Data Mining Techniques For Examining Surgical Outcomes Of Stroke Patients, Matthew Ronald Mcnabb

Masters Theses and Doctoral Dissertations

Mechanical Embolus Removal in Cerebral Ischemia (MERCI) has been supported by medical trials as an improved method of treating ischemic stroke past the safe window of time for administering clot-busting drugs, and was released for medical use in 2004. The importance of analyzing real-world data collected from MERCI clinical trials is key to providing insights on the effectiveness of MERCI. Most of the existing data analysis on MERCI results has thus far employed conventional statistical analysis techniques. To the best of the knowledge acquired in preliminary research, advanced data analytics and data mining techniques have not yet been systematically applied. …

Data Mining Of Protein Databases, Christopher Assi

School of Computing: Dissertations, Theses, and Student Research

Data mining of protein databases poses special challenges because many protein databases are non-relational whereas most data mining and machine learning algorithms assume the input data to be a relational database. Protein databases are non-relational mainly because they often contain set data types. We developed new data mining algorithms that can restructure non-relational protein databases so that they become relational and amenable for various data mining and machine learning tools. We applied the new restructuring algorithms to a pancreatic protein database. After the restructuring, we also applied two classification methods, such as decision tree and SVM classifiers and compared their …

Energy Efficiency Analysis And Optimization On Mobile Video Wireless Delivery, Jianxin Sun

Department of Computer Electronics and Engineering: Dissertations, Theses, and Student Research

Micro-electronic industry has been boosting the capability of wireless mobile devices on full-scale. However, battery, as the only power source of most mobile devices, is experiencing a relatively slow development. Therefore, how to optimally utilize the limited battery energy on mobile devices under a predefined performance requirement becomes a critical issue. On the other hand, it is still unclear that how the battery capacity consumption is allocated on different working pattern of a specific video codec under various tempo-spatial scales and parameters, which has posed a design challenge on power management on multimedia communication system. Furthermore, an optimization method is …

Front Burner

Syracuse University Magazine

No abstract provided.

University Place - Moving Day: Su's Major Computer Programs Are Getting A New Home, Renee Gearhart Levy, George Lowery, Mary Ellen Mengucci, Dana L. Cooke

Syracuse University Magazine

No abstract provided.

3-D Vision And Motion Tracking, Alberto G. Fajardo, Olac Fuentes

COURI Symposium Abstracts, Summer 2012

Motion tracking in Computer Vision consists of determining the location and configuration of an object from a video sequence. The potential real world applications of motion tracking range from medical imaging and analysis to entertainment, as well as surveillance and security. Motion tracking is a difficult problem, especially if it is required to be done in real time, which is why it has been an active research area for the past couple of decades. In this project we are developing algorithms for tracking articulated objects, such as the human body, by exploiting the use of the Microsoft Kinect, an imaging …

A Comparative Study Of User Preferences Of A Personalized Academic Website, Dipti U. Desai

Purdue Polytechnic Masters Theses

ABSTRACT

There has been a growing concern over the enrollment by American students into Science, Technology, Engineering and Mathematic (STEM) fields of study. Following globalization there is a direct competition for jobs in the United States with lower-wage workers around the globe and the US, thereby, is on the verge of losing its global technological competitiveness (Committee on Prospering in the Global Economy of the 21st Century: An Agenda for American Science and Technology, National Academy of Sciences, National Academy of Engineering, Institute of Medicine, 2007). Governmental as well as non-profit organizations are constantly searching for ideas, programs and initiatives …

On Heterogeneous User Demands In Peer-To-Peer Video Streaming Systems, Zhipeng Ouyang

School of Computing: Dissertations, Theses, and Student Research

A Peer-to-Peer (P2P) video streaming system usually consists of a large number of peers, which have heterogeneous physical properties. Orthogonal to the physical heterogeneity, there is another type of heterogeneity called demand heterogeneity. Namely, peers have their own demands on the quality and type of the streaming service. The problem of demand heterogeneity has received little attention and as a result current P2P video streaming systems cannot achieve satisfactory performance due to demand heterogeneity. In this dissertation, we study how to design efficient P2P video streaming systems with heterogeneous user demands.

First, we study the problem of heterogeneous user demands …

Reliability Models For Hpc Applications And A Cloud Economic Model, Thanadech Thanakornworakij

Doctoral Dissertations

With the enormous number of computing resources in HPC and Cloud systems, failures become a major concern. Therefore, failure behaviors such as reliability, failure rate, and mean time to failure need to be understood to manage such a large system efficiently.

This dissertation makes three major contributions in HPC and Cloud studies. First, a reliability model with correlated failures in a k-node system for HPC applications is studied. This model is extended to improve accuracy by accounting for failure correlation. Marshall-Olkin Multivariate Weibull distribution is improved by excess life, conditional Weibull, to better estimate system reliability. Also, the univariate …

Influence Of The Listening Context On The Perceived Realism Of Binaural Recordings, Davide Andrea Mauro, Francesco Vitale

Computer Sciences and Electrical Engineering Faculty Research

Binaural recordings and audio are becoming an interesting resource for composers, live performances and augmented reality. This paper focuses on the acceptance and the perceived quality by the audience of such spatial recordings. We present the results of a preliminary study of psychoacoustic perception where N=26 listeners had to report on the realism and the quality of different couples of sounds taken from two different rooms with peculiar reverb. Sounds are recorded with a self-made dummy head. The stimuli are grouped into classes with respects to some characteristics highlighted as potentially important for the task. Listening condition is fixed with …

Brain Recorder, Anthony M. Garcia

Computer Engineering

Electroencephalography (EEG) is the recording of electrical activity along the scalp. Our mind regulates its activities by means of electric waves which are registered in the brain, emitting tiny electrochemical impulses of varied frequencies, which can be registered by an electroencephalogram. These “brainwave” frequencies are split into different bands. There is ongoing research that attempts to correlate the frequencies in the different bands to different emotional states and levels of concentration. With the increase in availability of commercial EEG devices, such studies can be sped up by making the collection of data easier, faster, and mobile. Creating a mobile application …

Cs 205: Introduction To Computers And Office Productivity Software, Terri Bauer

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including intermediate word processing, spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.

Cs 242: Computer Programming Iii, Yong Pei

Computer Science & Engineering Syllabi

No abstract provided.

Cs 142: Computer Programming Ii, Vanessa Starkey

Computer Science & Engineering Syllabi

Concepts introduced in CS 141 are developed in greater detail and depth. Emphasis on verification and testing of programs. Three hours of lecture, two hours lab.

Cs 206: Advanced Concepts/Techniques And Software Productivity Tools, Terri Bauer

Computer Science & Engineering Syllabi

By the end of this course, the students will have a greater depth of understanding in the areas of spreadsheets, databases, and presentation software and web design using Microsoft Excel, Access, and PowerPoint covering the following topics.
Microsoft Excel 2010: Chapters 5 – 7
Microsoft Access 2010: Chapters 5 - 7
Microsoft PowerPoint 2010: Chapter 3 & 4

Cs 766: Evolutionary Computation, John C. Gallagher

Computer Science & Engineering Syllabi

This course explores evolutionary computation from a historical, theoretical, and application viewpoint. An overview of the most common evolutionary search techniques is presented. Specific topics include in the overview are: genetic algorithms, evolutionary programming, evolutionary strategies, and genetic programming. The fundamental issues driving the choice of problem representation and specific genetic operators are discussed. Various applications of evolutionary computation to problems in control, optimization, and pattern recognition are examined.

Cs 205: Introduction To Computers And Office Productivity Software, Terri Bauer

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including intermediate word processing, spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.

Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will introduce fundamental concepts and paradigms underlying the design of modern programming languages. For concreteness, we study the details of an object-oriented language (e.g. Java), and a functional language (e.g., Scheme). The overall goal is to enable comparison and evaluation of existing languages. The programming assignments will be coded in Java and in Scheme.