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Articles 18661 - 18690 of 25698
Full-Text Articles in Engineering
Community As A Connector: Associating Faces With Celebrity Names In Web Videos, Zhineng Chen, Chong-Wah Ngo, Juan Cao, Wei Zhang
Community As A Connector: Associating Faces With Celebrity Names In Web Videos, Zhineng Chen, Chong-Wah Ngo, Juan Cao, Wei Zhang
Research Collection School Of Computing and Information Systems
Associating celebrity faces appearing in videos with their names is of increasingly importance with the popularity of both celebrity videos and related queries. However, the problem is not yet seriously studied in Web video domain. This paper proposes a Community connected Celebrity Name-Face Association approach (CCNFA), where the community is regarded as an intermediate connector to facilitate the association. Specifically, with the names and faces extracted from Web videos, C-CNFA decomposes the association task into a three-step framework: community discovering, community matching and celebrity face tagging. To achieve the goal of efficient name-face association under this umbrella, algorithms such as …
Temporal Data Mining Of Uncertain Water Reservoir Data, Abhinaya Mohan, Peter Revesz
Temporal Data Mining Of Uncertain Water Reservoir Data, Abhinaya Mohan, Peter Revesz
School of Computing: Conference and Workshop Papers
This paper describes the challenges of data mining uncertain water reservoir data based on past human operations in order to learn from them reservoir policies that can be automated for the future operation of the water reservoirs. Records of human operations of water reservoirs often contain uncertain data. For example, the recorded amounts of water released and retained in the water reservoirs are typically uncertain, i.e., they are bounded by some minimum and maximum values. Moreover, the time of release is also uncertain, i.e., typically only monthly or weekly amounts are recorded. To increase the effectiveness of data mining of …
Combining Emotion And Facial Nonamanual Signals In Synthesized American Sign Language, Jerry Schnepp, Rosalee Wolfe, John Mcdonald, Jorge Toro
Combining Emotion And Facial Nonamanual Signals In Synthesized American Sign Language, Jerry Schnepp, Rosalee Wolfe, John Mcdonald, Jorge Toro
Visual Communications and Technology Education Faculty Publications
Conference proceedings from the the 14th international ACM SIGACCESS conference on Computers and accessibility-2012. ASSETS '12. Boulder, CO, USA, October 22 - 24, 2012. New York, NY, USA: ACM. 249-250.
A Partition Dummy Sequence Insertion Papr Reduction Method Of The Ofdm System, Chi-Min Li, Jia-Chyi Wu, Chao-Chin Tseng
A Partition Dummy Sequence Insertion Papr Reduction Method Of The Ofdm System, Chi-Min Li, Jia-Chyi Wu, Chao-Chin Tseng
Journal of Marine Science and Technology–Taiwan
OFDM (Orthogonal Frequency Division Multiplexing) technique has been widely adopted in many wireless communication systems due to its high data-rate transmission ability and robustness to the multipath fading channel. One major drawback of the OFDM signal is the high peak-toaverage power ratio (PAPR) problem. The high PAPR results in the in-band distortion and out-of-band radiation when the OFDM signal is fed into a nonlinear power amplifier (PA). In this paper, we propose a partition dummy sequence insertion (PDSI) method to reduce the PAPR problem. Simulation results of the PAPR reduction and bit error rate (BER) performance for the proposed method …
Performance Comparison Of The Stbc-Ofdm Decoders In A Fast Fading Channel, Chi-Min Li, Guo-Wei Li, Han-Yi Liu
Performance Comparison Of The Stbc-Ofdm Decoders In A Fast Fading Channel, Chi-Min Li, Guo-Wei Li, Han-Yi Liu
Journal of Marine Science and Technology–Taiwan
In a fast fading channel, the orthogonality of the two consecutive STBC-OFDM symbols will be destroyed and the received signals can not be perfectly separated. As a result, the bit error rate (BER) performance will be degraded seriously. In this paper, we analyze several co-channel interference (CCI) cancellation decoders for the STBC-OFDM in a fast fading channel including the Alamouti method, SIC method, ML method, DMLD method, and a proposed DZFD method. The proposed DZFD method has the advantage of reducing the computational complexity for the DMLD method. We also conduct the outdoor channel measurements to verify the CCI cancellation …
A Model For Designing M-Agriculture Applications For Dairy Farming, Amos Gichamba, Ismail A. Lukandu
A Model For Designing M-Agriculture Applications For Dairy Farming, Amos Gichamba, Ismail A. Lukandu
The African Journal of Information Systems
In the recent past, developing countries have experienced major technological advancements including high mobile phone penetration. With the implementation of innovative technological solutions (e.g. mobile-based systems in key economic activities such as agriculture), there is need to develop models that software developers and researchers can use to design solutions. This paper aims to study the implementation of mobile systems in agriculture and presents a model for designing such applications. This study shows that models exist for general mobile applications design and development, although none specifically suits mobile agriculture applications. A model for designing and implementing M-Agriculture applications is presented. The …
Evolving Expert Agent Parameters For Capture The Flag Agent In Xpilot, Gary Parker, Sarah Penrose
Evolving Expert Agent Parameters For Capture The Flag Agent In Xpilot, Gary Parker, Sarah Penrose
Computer Science Faculty Publications
Xpilot is an open source, 2d space combat game. Xpilot-AI allows a programmer to write scripts that control an agent playing a game of Xpilot. It provides a reasonable environment for testing learning systems for autonomous agents, both video game agents and robots. In previous work, a wide range of techniques have been used to develop controllers that are focused on the combat skills for an Xpilot agent. In this research, a Genetic Algorithm (GA) was used to evolve the parameters for an expert agent solving the more challenging problem of capture the flag.
Evolving Predator Control Programs For An Actual Hexapod Robot Predator, Gary Parker, Basar Gulcu
Evolving Predator Control Programs For An Actual Hexapod Robot Predator, Gary Parker, Basar Gulcu
Computer Science Faculty Publications
In the development of autonomous robots, control program learning systems are important since they allow the robots to adapt to changes in their surroundings. Evolutionary Computation (EC) is a method that is used widely in learning systems. In previous research, we used a Cyclic Genetic Algorithm (CGA), a form of EC, to evolve a simulated predator robot to test the effectiveness of a learning system in the predator/prey problem. The learned control program performed search, chase, and capture behavior using 64 sensor states relative to the nearest obstacle and the target, a simulated prey robot. In this paper, we present …
Automation Techniques For Intelligent Environments - Prediction Of Building Activity Patterns Using A Cyclic Genetic Algorithm, Gary Parker, David T. Alpert
Automation Techniques For Intelligent Environments - Prediction Of Building Activity Patterns Using A Cyclic Genetic Algorithm, Gary Parker, David T. Alpert
Computer Science Faculty Publications
This work involves learning the use schedule of an academic building in order to intelligently control various aspects of the environment. Motion sensors are used to monitor and record the activity of each of the rooms in the building. After a basic preprocessing of the data, a Cyclic Genetic Algorithm (CGA) is used to pick out the patterns of use of the rooms. The CGA is seen as ideal for such a problem because of its ability to find repetitive cyclic patterns in the data. Our results show that a CGA has the ability to pick out such patterns and …
Designing Autonomous Robot Missions With Performance Guarantees, Damian M. Lyons, Ronald Arkin, Prem Nirmal, Shu Jiang
Designing Autonomous Robot Missions With Performance Guarantees, Damian M. Lyons, Ronald Arkin, Prem Nirmal, Shu Jiang
Faculty Publications
This paper describes the need and methods required to construct an integrated software verification and mission specification system for use in robotic missions intended for counter-weapons of mass destruction (c-WMD) operations, as part of a 3-year effort for the Defense Threat Reduction Agency. The overall system architecture is described. The principal tool for verification is a process algebra, PARS, based on port automata theory. PARS is introduced, emphasizing its ability to represent probabilistic programs and uncertain and dynamic environments, followed by the analysis of mission properties for an example robotic mission.
[Accepted Article Manuscript Version (Postprint)] Track Me To Track Us: Leveraging Short Range Wireless Technologies For Enabling Energy Efficient Wi-Fi-Based Localization, Mohamed Abdellatif, Abderrahmen Mtibaa, Khaled Harras
[Accepted Article Manuscript Version (Postprint)] Track Me To Track Us: Leveraging Short Range Wireless Technologies For Enabling Energy Efficient Wi-Fi-Based Localization, Mohamed Abdellatif, Abderrahmen Mtibaa, Khaled Harras
Computer Science Faculty Works
Given the success of outdoor tracking via GPS and the rise of real-time context-aware services, users will soon rely on applications that require higher granularity indoor localization. This need is further manifested in countries like Qatar, where various social and business activities occur indoors. Wi-Fi-based indoor localization is one of the most researched techniques due to its ubiquitous deployment and acceptable accuracy for a wide range of applications. However, we do not witness such techniques widely deployed mainly due to their high demand on energy, which is a precious commodity in mobile devices. We propose an energy-efficient indoor localization system …
Digital Imperatives In Marketing: The Integration Of Communications And Technology To Target Consumers While Protecting Privacy, Catherine Dwyer, Randi Priluck
Digital Imperatives In Marketing: The Integration Of Communications And Technology To Target Consumers While Protecting Privacy, Catherine Dwyer, Randi Priluck
Cornerstone 3 Reports : Interdisciplinary Informatics
No abstract provided.
Andrews Computing Program Is Abet Accredited, Keri Suarez
Andrews Computing Program Is Abet Accredited, Keri Suarez
Lake Union Herald
No abstract provided.
An Investigation Of Distributed Schema Free Tabular Data Storage Technologies On Google App Engine And Microsoft Azure, Conor Mcgrath, Gary Clynch
An Investigation Of Distributed Schema Free Tabular Data Storage Technologies On Google App Engine And Microsoft Azure, Conor Mcgrath, Gary Clynch
Conference Papers
This paper examines schema free non-relational tabular storage for two important emerging Platform as a Service (PaaS) environments, where Google App Engine applications persist data to the Google Datastore, and Microsoft Azure applications store data in Azure Tables. A simple mobile web application was initially developed for both platforms, to understand how an application could be developed and deployed. Java Data Objects (JDO) was selected for Google App Engine and Windows Communication Foundation (WCF) in C# for Microsoft Azure. Many applications have a requirement to store complex data that is organised in relations in the order of One to One, …
A Probabilistic Graphical Model For Topic And Preference Discovery On Social Media, Lu Liu, Feida Zhu, Lei Zhang, Shiqiang Yang
A Probabilistic Graphical Model For Topic And Preference Discovery On Social Media, Lu Liu, Feida Zhu, Lei Zhang, Shiqiang Yang
Research Collection School Of Computing and Information Systems
Many web applications today thrive on offering services for large-scale multimedia data, e.g., Flickr for photos and YouTube for videos. However, these data, while rich in content, are usually sparse in textual descriptive information. For example, a video clip is often associated with only a few tags. Moreover, the textual descriptions are often overly specific to the video content. Such characteristics make it very challenging to discover topics at a satisfactory granularity on this kind of data. In this paper, we propose a generative probabilistic model named Preference-Topic Model (PTM) to introduce the dimension of user preferences to enhance the …
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.