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Articles 2311 - 2340 of 3445
Full-Text Articles in Engineering
Ceg 260-01: Digital Circuits, Jack Jean
Ceg 260-01: Digital Circuits, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Cs 241-02: Computer Programming Ii, Michael R. Peterson
Cs 241-02: Computer Programming Ii, Michael R. Peterson
Computer Science & Engineering Syllabi
A continuation of CS240. The emphasis is on data abstraction and object-oriented programming. Prerequisite: CS240.
Ceg 724-01: Computer Vision I, Arthur A. Goshtasby
Ceg 724-01: Computer Vision I, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course covers basic techniques for low-level and some mid-level vision. The techniques include: camera calibration, image filtering and edge detection, image segmentation and feature selection, and stereo depth perception.
Ceg 460/660-01: Computer Engineering, Eric Maston
Ceg 460/660-01: Computer Engineering, Eric Maston
Computer Science & Engineering Syllabi
This course is concerned with the techniques of designing and constructing large programs. Some of the required basic concepts necessarily have to be developed using small programs as examples. To this extent. we also study programming-in-the-small. The overall objectives are to present an overview of issues in the development of software, to discuss terminology, to illustrate via example case studies, and to give sufficiently detailed advice on how to develop quality software. Hands-on experience is emphasized through the use of homework and a class project.
Cs 209: Computer Programming For Business Ii, Dennis Kellermeier
Cs 209: Computer Programming For Business Ii, Dennis Kellermeier
Computer Science & Engineering Syllabi
CS 209 is the second of a two quarter sequence in programming for business students. It is required for Management Information Science majors. The courses are designed to help students achieve a high degree of facility in intermediate level programming.
Cs 142: Computer Programming - Ii, Haiyun Bian
Cs 142: Computer Programming - Ii, Haiyun Bian
Computer Science & Engineering Syllabi
Concepts introduced in CS 141 are developed in greater detail and depth with the Java programming language. Topics include object oriented programming, graphics, development of user interfaces and exception handling. Student must register for both lecture and one lab section. Prerequisite: CS 141
Cs 214: Visual Basic Programming, Michael Ondrasek
Cs 214: Visual Basic Programming, Michael Ondrasek
Computer Science & Engineering Syllabi
This course provides a general introduction to the fundamentals of object computer programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. However, students should have a familiarity with programming concepts. The concepts covered will be applied in the Visual Basic programming language. 4 credit hours.
Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan
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 s and in Scheme.
Cs 884: Advanced Topics In Programming Languages, Krishnaprasad Thirunarayan
Cs 884: Advanced Topics In Programming Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
The primary focus of this course is the design and specification of the Object-Oriented language Java.
The State Of The Art In Flow Visualization: Partition-Based Techniques, Tobias Salzbrunn, Heike Janicke, Thomas Wischgoll, Gerik Scheuermann
The State Of The Art In Flow Visualization: Partition-Based Techniques, Tobias Salzbrunn, Heike Janicke, Thomas Wischgoll, Gerik Scheuermann
Computer Science and Engineering Faculty Publications
Flow visualization has been a very active subfield of scientific visualization in recent years. From the resulting large variety of methods this paper discusses partition-based techniques. The aim of these approaches is to partition the flow in areas of common structure. Based on this partitioning, subsequent visualization techniques can be applied. A classification is suggested and advantages/disadvantages of the different techniques are discussed as well.
Botsniffer: Detecting Botnet Command And Control Channels In Network Traffic, Guofei Gu, Junjie Zhang, Wenke Lee
Botsniffer: Detecting Botnet Command And Control Channels In Network Traffic, Guofei Gu, Junjie Zhang, Wenke Lee
Computer Science and Engineering Faculty Publications
Botnets are now recognized as one of the most serious security threats. In contrast to previous malware, botnets have the characteristic of a command and control (C&C) channel. Botnets also often use existing common protocols, e.g., IRC, HTTP, and in protocol-conforming manners. This makes the detection of botnet C&C a challenging problem. In this paper, we propose an approach that uses network-based anomaly detection to identify botnet C&C channels in a local area network without any prior knowledge of signatures or C&C server addresses. This detection approach can identify both the C&C servers and infected hosts in the network. Our …
Extracting, Representing And Mining Semantic Metadata From Text: Facilitating Knowledge Discovery In Biomedicine, Cartic Ramakrishnan
Extracting, Representing And Mining Semantic Metadata From Text: Facilitating Knowledge Discovery In Biomedicine, Cartic Ramakrishnan
Browse all Theses and Dissertations
The information access paradigm offered by most contemporary text information systems is a search-and-sift paradigm where users have to manually glean and aggregate relevant information from the large number of documents that are typically returned in response to keyword queries. Expecting the users to glean and aggregate information has lead to several inadequacies in these information systems. Owing to the size of many text databases, search-and-sift is a very tedious often requiring repeated keyword searches refining or generalizing queries terms. A more serious limitation arises from the lack of automated mechanisms to aggregate content across different documents to discover new …
Reduced Order Modeling Methods For Turbomachinery Design, Jeffrey M. Brown
Reduced Order Modeling Methods For Turbomachinery Design, Jeffrey M. Brown
Browse all Theses and Dissertations
Design of structural components is constrained by both iteration time and prediction uncertainty. Iteration time refers to the computation time each simulation requires and controls how much design space can be explored given a fixed period. A comprehensive search of the space leads to more optimum designs. Prediction uncertainty refers to both irreducible uncertainties, such as those caused by material scatter, and reducible uncertainty, such as physics-based model error. In the presence of uncertainty, conservative safety factors and design margins are used to ensure reliability, but these negatively impact component weight and design life. This research investigates three areas to …
What Is Approximate Reasoning?, Sebastian Rudolph, Tuvshintur Tserendorj, Pascal Hitzler
What Is Approximate Reasoning?, Sebastian Rudolph, Tuvshintur Tserendorj, Pascal Hitzler
Computer Science and Engineering Faculty Publications
Approximate reasoning for the Semantic Web is based on the idea of sacrificing soundness or completeness for a significant speed-up of reasoning. This is to be done in such a way that the number of introduced mistakes is at least outweighed by the obtained speed-up. When pursuing such approximate reasoning approaches, however, it is important to be critical not only about appropriate application domains, but also about the quality of the resulting approximate reasoning procedures. With different approximate reasoning algorithms discussed and developed in the literature, it needs to be clarified how these approaches can be compared, i.e. what it …
Ceg 404/604-01: Wireless Sensor Networks, Bin Wang
Ceg 404/604-01: Wireless Sensor Networks, Bin Wang
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 860-01: Object-Oriented Programming, Krishnaprasad Thirunarayan
Ceg 860-01: Object-Oriented Programming, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course motivates the need for object-oriented programming, and studies, in detail, object-oriented programming techniques, languages, and technology. The lectures will focus on the foundations of OOP, while the student presentations will focus on the applications and extensions of Object Technology.
Ceg 411/611-01: Microprocessor-Based System Design, Jack Jean
Ceg 411/611-01: Microprocessor-Based System Design, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Expectation-Maximization Optical Tomosynthetic Volume Imaging, Philip M. Hanna
Expectation-Maximization Optical Tomosynthetic Volume Imaging, Philip M. Hanna
Browse all Theses and Dissertations
Optical tomosynthetic imaging of 3-D objects from disparate 2-D images has been limited in the past by a lack of algorithmic enforcement of physical constraints, in particular within-scene obscuration and object self-occlusion. This paper presents a stochastic observation model of a tomosynthetic collection that explicitly includes an obscuration operator that is unknown by the sensor. The expectation-maximization algorithm is used to iteratively estimate the obscuration operator and to reconstruct the 3-D volume of interest. Explicit inclusion of obscuration effects greatly enhances the spatial and spectral accuracy of 3-D results without use of costly post-processing techniques. Performance metrics are introduced and …
Botminer: Clustering Analysis Of Network Traffic For Protocol- And Structure-Independent Botnet Detection, Guofei Gu, Roberto Perdisci, Junjie Zhang, Wenke Lee
Botminer: Clustering Analysis Of Network Traffic For Protocol- And Structure-Independent Botnet Detection, Guofei Gu, Roberto Perdisci, Junjie Zhang, Wenke Lee
Computer Science and Engineering Faculty Publications
Botnets are now the key platform for many Internet attacks, such as spam, distributed denial-of-service (DDoS), identity theft, and phishing. Most of the current botnet detection approaches work only on specific botnet command and control (C&C) protocols (e.g., IRC) and structures (e.g., centralized), and can become ineffective as botnets change their C&C techniques. In this paper, we present a general detection framework that is independent of botnet C&C protocol and structure, and requires no a priori knowledge of botnets (such as captured bot binaries and hence the botnet signatures, and C&C server names/addresses). We start from the definition and essential …
Cs 714-01: Machine Learning, Shaojun Wang
Cs 714-01: Machine Learning, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Cs 765-01: Foundations Of Neurocomputation, John C. Gallagher
Cs 765-01: Foundations Of Neurocomputation, John C. Gallagher
Computer Science & Engineering Syllabi
This course is designed to help you develop a solid understanding of neural network algorithms and architectures. At the end of this course you should be able to read and critically evaluate most neural network papers published in major journals, (e.g. IEEE Transaction on Neural Networks, Neural Networks, and Neural Computation). In addition, you should be able to implement a broad range of network architectures and learning algorithms for a variety of applications.
Cs 205-08: Introduction To Computers And Office Productivity Software, Kim Gros
Cs 205-08: Introduction To Computers And Office Productivity Software, Kim Gros
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including word processing (intermediate), 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 790-03: Services Science, Yong Pei
Cs 790-03: Services Science, Yong Pei
Computer Science & Engineering Syllabi
Service Science, Management, and Engineering (SSME), often referred to
as Services Science, is emerging as a distinct field of study. It
encompasses numerous areas relating to the increasing role of services
in the world economy. In this course we will focus primarily on
services computing, or the technical aspects of services science, and
secondarily on the allied economic, business, and organizational aspects
Cs 142-01: Computer Programming - Ii, Michael Ondrasek
Cs 142-01: Computer Programming - Ii, Michael Ondrasek
Computer Science & Engineering Syllabi
The concepts introduced in CS 141 are developed in greater detail and depth with the Java programming language. Topics include object oriented programming, graphics, development of user interfaces and handling runtime errors with an emphasis on program verification and testing. Students must register for both lecture and one laboratory section. 4 credit hours. Prerequisite: CS 141 (Computer Programming I) and MTH 127 (College Algebra) or equivalent.
Cs 317-01: Numerical Methods Ii, Ronald F. Taylor
Cs 317-01: Numerical Methods Ii, Ronald F. Taylor
Computer Science & Engineering Syllabi
Continuation of CS/MTH/3161516. Introduction to numerical methods used in the sciences. Methods for solving matrix eigenvalue problems, initial value and boundary value problem for ordinary differential equations (ODEs). Study of standard types of partial differential equations (PDEs) with applications. Solution techniques for systems of nonlinear equations. Discussion of sources of error in numerical methods. Special topics and applications presented as schedule permits. Four credit hours.
Cs 208-01: Computer Programming For Business I, David M. Hutchison
Cs 208-01: Computer Programming For Business I, David M. Hutchison
Computer Science & Engineering Syllabi
CS 208 is the first in a sequence of two programming classes required for MIS majors. This course will introduce students to the basic concepts of programming. Examples are from business applications and display graphics and emphasis is on problem solving with the computer as a tool.
Cs 214-01: Visual Basic Programming, Michael Ondrasek
Cs 214-01: Visual Basic Programming, Michael Ondrasek
Computer Science & Engineering Syllabi
This course provides a general introduction to the fundamentals of object computer programming. Examples from and applications to a broad range of problems are given. No prior know ledge of programming is assumed. However, students should have a familiarity with programming concepts. The concepts covered will be applied in the Visual Basic programming language. 4 credit hours.
Cs 240-01: Introduction To Computer Science, Jay Dejongh
Cs 240-01: Introduction To Computer Science, Jay Dejongh
Computer Science & Engineering Syllabi
Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.
Cs 701-01: Database Systems And Design, Soon M. Chung
Cs 701-01: Database Systems And Design, Soon M. Chung
Computer Science & Engineering Syllabi
Introduction of DB design concepts and operating principles of database systems.
Cs 205: Introduction To Computers And Office Productivity Software, Ann Tirpack
Cs 205: Introduction To Computers And Office Productivity Software, Ann Tirpack
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including word processing (intermediate), 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.