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Articles 331 - 360 of 1814
Full-Text Articles in Computer Engineering
Cooperative Interactive Distributed Guidance On Mobile Devices, Gregory Burnett
Cooperative Interactive Distributed Guidance On Mobile Devices, Gregory Burnett
Browse all Theses and Dissertations
Mobiles device are quickly becoming an indispensable part of our society. Equipped with numerous communication capabilities, they are increasingly being examined as potential tools for civilian and military usage to aide in distributed remote collaboration for dynamic decision making and physical task completion. With an ever growing mobile workforce, the need for remote assistance in aiding field workers who are confronted with situations outside their expertise certainly increases. Enhanced capabilities in using mobile devices could significantly improve numerous components of a task's completion (i.e. accuracy, timing, etc.). This dissertation considers the design of mobile implementation of technology and communication capabilities …
Streamsurface Smoke Effect For Visualizing Dragon Fly Cfd Data In Modern Opengl With An Emphasis On High Performance, Jordan Sipes
Streamsurface Smoke Effect For Visualizing Dragon Fly Cfd Data In Modern Opengl With An Emphasis On High Performance, Jordan Sipes
Browse all Theses and Dissertations
Visualizing 3D, time dependent velocity vector fields is a difficult topic. Streamlines can be used to visualize 3D vector fields. A smoke effect where the streamline is faded out as time progresses can provide a better visualization of a time dependent flow. This work uses modern OpenGL to create a smoke trail effect with streamsurfaces in the dragon fly data set. Many aspects affecting performance are tested to determine the best options or approach.
Natural Language Document And Event Association Using Stochastic Petri Net Modeling, Michael Thomas Mills
Natural Language Document And Event Association Using Stochastic Petri Net Modeling, Michael Thomas Mills
Browse all Theses and Dissertations
The purpose of this research is to design and implement a new methodology that captures the natural language understanding of events from English natural language text and model it using Stochastic Petri Nets. To establish a baseline of recent natural language processing (NLP) and understanding (NLU) research, two surveys are presented. One is a general survey in NLP and NLU methodologies for processing multi-documents. It summarizes and presents methodologies in terms of their features, capabilities, and maturity. The second survey focuses on graph-based methods for NL text processing and understanding and analyzes them in terms of their functional descriptions, capabilities …
Adaptive Semantic Annotation Of Entity And Concept Mentions In Text, Pablo N. Mendes
Adaptive Semantic Annotation Of Entity And Concept Mentions In Text, Pablo N. Mendes
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The recent years have seen an increase in interest for knowledge repositories that are useful across applications, in contrast to the creation of ad hoc or application-specific databases.
These knowledge repositories figure as a central provider of unambiguous identifiers and semantic relationships between entities. As such, these shared entity descriptions serve as a common vocabulary to exchange and organize information in different formats and for different purposes. Therefore, there has been remarkable interest in systems that are able to automatically tag textual documents with identifiers from shared knowledge repositories so that the content in those documents is described in a …
Solar-Powered Wireless Sensor Nodes With Dynamic Power Management For Indoor Use, Ethan Charles Humphrey
Solar-Powered Wireless Sensor Nodes With Dynamic Power Management For Indoor Use, Ethan Charles Humphrey
Browse all Theses and Dissertations
Indoor environment monitoring, such as medical monitoring and home automation, is achieved through wireless sensor networks that collect data through wireless sensor nodes. These nodes are typically powered by exhaustible power sources that could be difficult or impossible to maintain regularly. A solution to the need for frequent maintenance is to collect the solar power in the environment. This project shows how collecting the solar energy in the environment can extend the lifetime of a sensor node and limit the maintenance required. Along with charging the battery with a solar panel, a dynamic power management scheme can also be implemented. …
Low Cost Open Source Modal Virtual Environment Interfaces Using Full Body Motion Tracking And Hand Gesture Recognition, Matthew J. Marangoni
Low Cost Open Source Modal Virtual Environment Interfaces Using Full Body Motion Tracking And Hand Gesture Recognition, Matthew J. Marangoni
Browse all Theses and Dissertations
Virtual environments provide insightful and meaningful ways to explore data sets through immersive experiences. One of the ways immersion is achieved is through natural interaction methods instead of only a keyboard and mouse. Intuitive tracking systems for natural interfaces suitable for such environments are often expensive. Recently however, devices such as gesture tracking gloves and skeletal tracking systems have emerged in the consumer market. This project integrates gestural interfaces into an open source virtual reality toolkit using consumer grade input devices and generates a set of tools to enable multimodal gestural interface creation. The AnthroTronix AcceleGlove is used to augment …
Mining Diversified Decision Trees Across Multiple Datasets To Capture Similarities And Alignable Differences, Qian Han
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This dissertation studies the problem of mining shared and alignable difference knowledge structures across multiple datasets/applications. Shared and alignable difference knowledge structures are important for identifying analogies between application domains and for forming new hypothesis in challenging research applications, and for assessing the degree and types of knowledge-level similarities and differences between application domains for use in learning transfer. Generally speaking, shared knowledge structures characterize underlying datasets and highlight conceptual-level structural similarities among the datasets. This dissertation studies the mining of shared decision trees, which are a special type of shared knowledge structures. We first consider building one shared decision …
Ceg 7900-01: Special Topics: Computer And Network Security, Junjie Zhang
Ceg 7900-01: Special Topics: Computer And Network Security, Junjie Zhang
Computer Science & Engineering Syllabi
This course will introduce active research topics in computer and network security, and will focus on discussing both sophisticated cyber-attacks and the defense mechanisms. The course will cover topics including intrusion detection, malware analysis, worm detection, botnet detection, spam, phishing, DNS security, web security, cellular network security, and privacy. This class is targeted at PhD and MS students who consider conducting research in computer and network security, and students who are interested in real-world security problems.
Ceg 4500/6500-01: Computer Graphics, Thomas Wischgoll
Ceg 4500/6500-01: Computer Graphics, Thomas Wischgoll
Computer Science & Engineering Syllabi
By the end of this quarter, you will have learnt techniques for constructing 2-D and 3·D objects as well as manipulating and rendering the objects using OpenGL.
The outline of the course is as follows:
•Introduction
•Geometric primitives
•Attributes of geometric primitives
•Antialiasing techniques
•Homogeneous coordinate system
•2-0 and 3-D viewing transformations
•Structures and hierarchical modeling
•Input devices and interactive techniques
•Visible surface detection methods
•Three-Dimensional Object Representations (chapter 8)
•Visible-Surface Detection (chapter 9)
•Illumination Models and Surface-Rendering Methods (chapter 10)
•Interactive Input Methods and Graphics User Interfaces (chapter 11)
•Color Models and Color Applications (chapter 12)
•Advanced Rendering and …
Cs 1010-01: Introduction To Computers And Office Productivity Software, Terri Bauer
Cs 1010-01: 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 1150-01: Introduction To Computer Science, Karen Meyer
Cs 1150-01: Introduction To Computer Science, Karen Meyer
Computer Science & Engineering Syllabi
The Introduction to Computer Science course will expose students to the scientific method as implemented in computer science. The course will show students how the scientific method as implemented in computer science can be used as a problem-solving tool. The course requires students to apply and extend the concepts in a laboratory setting. The concepts will include the study of and methodology of algorithm discovery, design, application, and fundamentals of networks. Lecture and Lab
Cs 1160: Introduction To Computer Programming I, Vanessa Starkey
Cs 1160: Introduction To Computer Programming I, Vanessa Starkey
Computer Science & Engineering Syllabi
Basic concepts of computer programming with an emphasis on structured programming techniques. Includes an introduction to object-oriented programing. Integrated lecture/lab.
Cs 1160: Introduction To Computer Programming I, David M. Hutchison
Cs 1160: Introduction To Computer Programming I, David M. Hutchison
Computer Science & Engineering Syllabi
CS 1160 is the first in a sequence of two programming classes. This course will introduce students to the basic concepts of programming. Examples are from business applications with an emphasis on problem solving with the computer as a tool.
Cs 4800/6800: Web Information Systems, Amit P. Sheth
Cs 4800/6800: Web Information Systems, Amit P. Sheth
Computer Science & Engineering Syllabi
No abstract provided.
Cs 7800: Information Retrieval, Krishnaprasad Thirunarayan
Cs 7800: Information Retrieval, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course will cover models for information retrieval, techniques for indexing and searching. and algorithms for classification and clustering. It will also cover SVM, latent semantic indexing. link analysis and ranking, Map-Reduce architecture and Hadoop, to different degrees of detail, time permitting.
Cs/Mth 3260/5260: Numerical Methods For Computational Science, Ronald F. Taylor
Cs/Mth 3260/5260: Numerical Methods For Computational Science, Ronald F. Taylor
Computer Science & Engineering Syllabi
Numerical methods for the sciences using modern programming languages. Solution of linear and nonlinear equations, symmetric matrix eigenvalue problems, interpolation, and least squares. Initial value and boundary value problems for representative systems governed by ordinary and partial differential equations are also solved numerically. Three hours lecture.
Cs 3100/5100: Data Structures And Algorithms, Keke Chen
Cs 3100/5100: Data Structures And Algorithms, Keke Chen
Computer Science & Engineering Syllabi
This course will cover the fundamentals of algorithm design and analysis, the implementation of classical data structures and control structures, and the basic problem solving techniques.
Cs 1180-06: Computer Programming - I, Jay Dejongh
Cs 1180-06: Computer Programming - I, Jay Dejongh
Computer Science & Engineering Syllabi
Basic concepts of programming and programming languages are introduced. Emphasis is on problem solving and object oriented programming. This course provides a general introduction to the fundamentals of computer science and programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. The concepts covered will be applied to the Java programming language. Students must register for both lecture and one laboratory section. 4 credit hours.
Cs 3190: Programming Language Workshop In Python, Krishnaprasad Thirunarayan
Cs 3190: Programming Language Workshop In Python, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course is designed as a self-study in Python. You are expected to learn the language and solve a set of programming problems assigned to you from Budd's Text using Python available from http://www.python.org. There are no exams. We officially meet only once in the quarter. However, l will be available in the posted office hours for clarifications and discussions about the programming problems.
Cs 3100/5100: Data Structures And Algorithms, Meilin Liu
Cs 3100/5100: Data Structures And Algorithms, Meilin Liu
Computer Science & Engineering Syllabi
This is a fundamental course for students majoring in Computer Science. Students will learn: basic algorithm analysis techniques; asymptotic complexity; big-0 and big-Omega notations; efficient algorithms for discrete structures including lists, trees, stacks, and graphs; fundamental computing algorithms including sorting, searching, and hashing techniques.
Cs 1200: Introduction To Discrete Structures, Pascal Hitzler
Cs 1200: Introduction To Discrete Structures, Pascal Hitzler
Computer Science & Engineering Syllabi
No abstract provided.
Cs 2800: Web Design Fundamentals, Mohamed B. Ali
Cs 2800: Web Design Fundamentals, Mohamed B. Ali
Computer Science & Engineering Syllabi
Introduction to basic web design, development, and information management. Topics include design principles, page layout, hierarchal organization, content management, use of color and graphics, privacy policies, accessibility and site organization. HTML, and modern web programming tools are included in the course.
Cs 1181: Computer Science Ii, Mateen M. Rizki
Cs 1181: Computer Science Ii, Mateen M. Rizki
Computer Science & Engineering Syllabi
This is the second course in a two-semester sequence introducing fundamental concepts and techniques for computer science and engineering. The course focuses on problem analysis, advanced programming concepts using JAVA and fundamental data structures. Students learn to analyze problems and evaluate potential solutions with respect to choice of data structures and computational efficiency. Student are exposed to the underlying implementation of basic data structures available in JAVA libraries and develop the skilled needs to extend existing data structures and design new data structures to solve increasingly complex problems.
Cs 4850/6850: Principles Of Artificial Intelligence, Shaojun Wang
Cs 4850/6850: Principles Of Artificial Intelligence, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Cs 2160: Visual Basic Programming, Eric Saunders
Cs 2160: Visual Basic Programming, Eric Saunders
Computer Science & Engineering Syllabi
This course will cover the fundamentals of object-oriented computer programming; with an emphasis on design, structure, debugging, and testing. Visual Basic 2010 will be used for developing programs.
Cs 7900: Information Security, Meilin Liu
Cs 7900: Information Security, Meilin Liu
Computer Science & Engineering Syllabi
This course gives a comprehensive study of security vulnerabilities in information systems and the basic techniques for developing secure applications and practicing safe computing. Topics include: Conventional encryption; Data Encryption Standard; Advanced Encryption Standard; Hashing functions and data integrity; Basic Number Theory; Public-key encryption (RSA); Digital signature; Security standards and applications; Access Control; Management and analysis of security. After taking this course, students will have the knowledge of several well-known security standards and their applications; and the students should be able to increase system security and develop secure applications.
Cs 3180/5180: Comparative Languages, Krishnaprasad Thirunarayan
Cs 3180/5180: 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, C#, C++), a functional language (e.g., Scheme, and get introduced to multiparadigm languages (e.g., Python, Scala). The overall goal is to enable comparison and evaluation of existing languages. The programming assignments will largely be coded in Java and in Scheme, and optionally in Python or Scala.
Cs 4000: Social Implications Of Computing, Leo Finkelstein
Cs 4000: Social Implications Of Computing, Leo Finkelstein
Computer Science & Engineering Syllabi
CS 4000 is a communication skills course using as its subject matter current salient issues associated with the social implications of computing. In addition to the course text, you will need to use certain reading materials in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.
Cs 7720: Data Mining, Guozhu Dong
Cs 7720: Data Mining, Guozhu Dong
Computer Science & Engineering Syllabi
This course studies the fundamental concepts, issues, and techniques of data mining. Topics include basics of data, data preprocessing, feature selection/extraction, frequent pattern and association/correlation mining, classification, clustering, outlier analysis, OLAP/OLAM, contrast mining, applications, etc.
Cs 4900/6900-01: Ios Programming, Erik Marlow Buck
Cs 4900/6900-01: Ios Programming, Erik Marlow Buck
Computer Science & Engineering Syllabi
No abstract provided.