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Articles 14131 - 14160 of 17321
Full-Text Articles in Engineering
Wireless Networks: Spert: A Stateless Protocol For Energy-Sensitive Real-Time Routing For Wireless Sensor Network, Sohail Jabbar, Abid Ali Minhas, Raja Adeel Akhtar
Wireless Networks: Spert: A Stateless Protocol For Energy-Sensitive Real-Time Routing For Wireless Sensor Network, Sohail Jabbar, Abid Ali Minhas, Raja Adeel Akhtar
International Conference on Information and Communication Technologies
Putting constraints on performance of a system in the temporal domain, some times turns right into wrong and update into outdate. These are the scenarios where apposite value of time inveterate in the reality. But such timing precision not only requires tightly scheduled performance constraints but also requires optimal design and operation of all system components. Any malfunctioning at any relevant aspect may causes a serious disaster and even loss of human lives. Managing and interacting with such real-time system becomes much intricate when the resources are limited as in wireless sensor nodes. A wireless sensor node is typically comprises …
Wireless Networks: Automated Frequency Distribution, Management & Assignment (Afdma) In Ieee 802.16, Khurram Shehzad, A. Ali, F. Rasool, R. M. Hashmi, A. Zubair, R. L. Ali
Wireless Networks: Automated Frequency Distribution, Management & Assignment (Afdma) In Ieee 802.16, Khurram Shehzad, A. Ali, F. Rasool, R. M. Hashmi, A. Zubair, R. L. Ali
International Conference on Information and Communication Technologies
Frequency is amongst the most exclusive and most costly resources in wireless communication networks, especially, while considering the demands of broadband wireless access (BWA). In BWA, the management of frequency distribution and its effective utilization is of utmost importance. This research explores possible ways to ensure the most effective allocation of bandwidth resources and their best possible utilization on need basis. The model for static frequency allocation has been optimized and the dynamic frequency management has been calculated while dividing the users in different user classes on the basis of their needs and requirements. The effect of ping-pong handovers has …
Networks - Ii: Formal Modeling Of Trust In Semantic Grid Registry, Saba Mahmood, Saman Iftikhar, Hafiz Farooq Ahmad, Farah Mahmood
Networks - Ii: Formal Modeling Of Trust In Semantic Grid Registry, Saba Mahmood, Saman Iftikhar, Hafiz Farooq Ahmad, Farah Mahmood
International Conference on Information and Communication Technologies
In this paper we have analyzed and developed a formal specification of a trust model in semantic grid registry. This paper formalizes the basic requirements of a trust model in case of semantic grid registry. We have described the flow of operations of our system through links and processes in the system architecture. The system is formally modeled in pi-calculus. Finally we transformed the specification to pi- ADL and generated code using Archware tool. We have already developed a semantic grid registry.
Application Of Ict - I: Using Point-To-Point 1550nm Laser For Outdoor Mobility, Roshan A. Shaikh, Abdul Basit
Application Of Ict - I: Using Point-To-Point 1550nm Laser For Outdoor Mobility, Roshan A. Shaikh, Abdul Basit
International Conference on Information and Communication Technologies
Significant implementation challenges exist in wireless backbone connectivity. Typical optical wireless communication topologies are evaluated. A fresh approach using 1550nm Wavelength laser to design protocol and topology for point-to-point outdoor connectivity is carried out. Matlab simulation results support the 1550nm laser as a good choice for outdoor connectivity for optical wireless communication. New design and topology for an optical wireless communication system is suggested with special consideration of security and recommendation for the optimal use of such a technology is suggested.
Networks - I: Networks-On-Chip: Challenges, Trends And Mechanisms For Enhancements, Omer Tayan
Networks - I: Networks-On-Chip: Challenges, Trends And Mechanisms For Enhancements, Omer Tayan
International Conference on Information and Communication Technologies
The rate of increase of silicon capacity in integrated circuits (IC) will enable system integration of several billion transistors to reside on a single chip in the near future. Future system-on-chip (SoC) systems must therefore integrate up to several hundreds of cores within a single chip, and SoC designs will employ on-chip communication networks (NoCs) as a result. This paper discusses the problems with many current SoC systems, surveys the challenges and trends facing future SoC designs and proposes a mechanism for enhancing NoC strategies of the future by enhancing memory management and utilization techniques within an NoC.
Networks - I: A Comparative Analysis Of Dccp Variants (Ccid2, Ccid3), Tcp And Udp For Mpeg4 Video Applications, Muhammad Ajmal Azad, Rashid Mahmood, Tahir Mehmood
Networks - I: A Comparative Analysis Of Dccp Variants (Ccid2, Ccid3), Tcp And Udp For Mpeg4 Video Applications, Muhammad Ajmal Azad, Rashid Mahmood, Tahir Mehmood
International Conference on Information and Communication Technologies
New emerging technologies like Multimedia applications require timely delivery of information as compared to reliability. The most widely used protocols over transport layer are Transmission Control Protocol (TCP) and User Datagram Protocol (UDP). Both of these have some drawbacks while using in real time applications. TCP increases delay in transfer of data but achieving reliable transfer of data while UDP does not provide any acknowledgment, hence it overcomes the problem of delay but lacking congestion control mechanism. To provide congestion control over transport layer using UDP, Datagram Congestion Control Protocol (DCCP) has been designed to provide timely delivery of data …
Artificial Intelligence – I: A Two-Step Approach For Improving Efficiency Of Feedforward Multilayer Perceptrons Network, Shoukat Ullah, Zakia Hussain
Artificial Intelligence – I: A Two-Step Approach For Improving Efficiency Of Feedforward Multilayer Perceptrons Network, Shoukat Ullah, Zakia Hussain
International Conference on Information and Communication Technologies
An artificial neural network has got greater importance in the field of data mining. Although it may have complex structure, long training time, and uneasily understandable representation of results, neural network has high accuracy and is preferable in data mining. This research paper is aimed to improve efficiency and to provide accurate results on the basis of same behaviour data. To achieve these objectives, an algorithm is proposed that uses two data mining techniques, that is, attribute selection method and cluster analysis. The algorithm works by applying attribute selection method to eliminate irrelevant attributes, so that input dimensionality is reduced …
Artificial Intelligence – I: Subjective Decision Making Using Type-2 Fuzzy Logic Advisor, Owais Malik
Artificial Intelligence – I: Subjective Decision Making Using Type-2 Fuzzy Logic Advisor, Owais Malik
International Conference on Information and Communication Technologies
In this paper, we present and compare two-stage type-2 fuzzy logic advisor (FLA) for subjective decision making in the domain of students' performance evaluation. We test our proposed model for evaluating students' performance in our computer science and engineering department at HBCC/KFUPM in two domains namely cooperating training and capstone/senior project assessment where we find these FLAs very useful and promising. In our proposed model, the assessment criteria for different components of cooperative training and senior project are transformed into linguistic labels and evaluation information is extracted into the form of IF-THEN rules from the experts. These rules are modeled …
Selection Of Switching Sites In All-Optical Nework Topology Design, Shivashis Saha, Eric D. Manley, Jitender S. Deogun
Selection Of Switching Sites In All-Optical Nework Topology Design, Shivashis Saha, Eric D. Manley, Jitender S. Deogun
School of Computing: Technical Reports
In this paper, we consider the problem of topology design for optical networks. We investigate the problem of selecting switching sites to minimize total cost of the optical network. The cost of an optical network can be expressed as a sum of three main factors: the site cost, the link cost, and the switch cost. To the best of our knowledge, this problem has not been studied in its general form as investigated in this paper. We present a mixed integer quadratic programming (MIQP) formulation of the problem to find the optimal value of the total network cost. We also …
Design Of An All-Optical Wdm Lightpath Concentrator, Shivashis Saha, Jitender S. Deogun
Design Of An All-Optical Wdm Lightpath Concentrator, Shivashis Saha, Jitender S. Deogun
School of Computing: Technical Reports
A design of a nonblocking, all-optical lightpath concentrator using WOC and WDM crossbar switches is presented. The proposed concentrator is highly scalable, cost-efficient, and can switch signals in both space and wavelength domains without requiring a separate wavelength conversion stage.
Object-Oriented Building Extraction And Three-Dimensional Representation Of Building Temperatures In Indianapolis, U.S.A., Jing Han
All-Inclusive List of Electronic Theses and Dissertations
With a rapid development of world population, urbanization has become an important issue in the past century and generated great pressure on the environment. In order to assist urban decision-makers to present, analyze, and solve related issues, accurate and timely spatial information is n~eded in urban areas. This research focused on building information extraction and the relationship analysis of buildings and temperatures in the downtown Indianapolis, IN. Through object-oriented classification, the image derived from LiDAR data was segmented into objects, and spectral, spatial, and textual attributes of objects were measured and selected to extract buildings. Moreover, each building's surface temperature …
Multilayer Image Inpainting Approach Based On Neural Networks, Quan Wang, Zhaoxia Wang, Che Sau Chang, Ting Yang
Multilayer Image Inpainting Approach Based On Neural Networks, Quan Wang, Zhaoxia Wang, Che Sau Chang, Ting Yang
Research Collection School Of Computing and Information Systems
This paper describes an image inpainting approach based on the self-organizing map for dividing an image into several layers, assigning each damaged pixel to one layer, and then restoring these damaged pixels by the information of their respective layer. These inpainted layers are then fused together to provide the final inpainting results. This approach takes advantage of the neural network's ability of imitating human's brain to separate objects of an image into different layers for inpainting. The approach is promising as clearly demonstrated by the results in this paper.
Setting Discrete Bid Levels Adaptively In Repeated Auctions, Jilian Zhang, Hoong Chuin Lau, Jialie Shen
Setting Discrete Bid Levels Adaptively In Repeated Auctions, Jilian Zhang, Hoong Chuin Lau, Jialie Shen
Research Collection School Of Computing and Information Systems
The success of an auction design often hinges on its ability to set parameters such as reserve price and bid levels that will maximize an objective function such as the auctioneer revenue. Works on designing adaptive auction mechanisms have emerged recently, and the challenge is in learning different auction parameters by observing the bidding in previous auctions. In this paper, we propose a non-parametric method for determining discrete bid levels dynamically so as to maximize the auctioneer revenue. First, we propose a non-parametric kernel method for estimating the probabilities of closing price with past auction data. Then a greedy strategy …
Optimal Control Of Unknown Affine Nonlinear Discrete-Time Systems Using Offline-Trained Neural Networks With Proof Of Convergence, Travis Dierks, Balaje T. Thumati, S. Jagannathan
Optimal Control Of Unknown Affine Nonlinear Discrete-Time Systems Using Offline-Trained Neural Networks With Proof Of Convergence, Travis Dierks, Balaje T. Thumati, S. Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
The optimal control of linear systems accompanied by quadratic cost functions can be achieved by solving the well-known Riccati equation. However, the optimal control of nonlinear discrete-time systems is a much more challenging task that often requires solving the nonlinear Hamilton-Jacobi-Bellman (HJB) equation. in the recent literature, discrete-time approximate dynamic programming (ADP) techniques have been widely used to determine the optimal or near optimal control policies for affine nonlinear discrete-time systems. However, an inherent assumption of ADP requires the value of the controlled system one step ahead and at least partial knowledge of the system dynamics to be known. in …
Cs 206: Advanced Concepts/Techniques And Software Productivity Tools, Terri Bauer
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 2007:
Chapters 4 -6
Microsoft Access 2007:
Chapters 4 -6
Microsoft PowerPoint 2007:
Chapter 3 & 4
Rfid-Based Smart Freezer, Ahmet Soylemezoglu, Maciej Jan Zawodniok, Jagannathan Sarangapani
Rfid-Based Smart Freezer, Ahmet Soylemezoglu, Maciej Jan Zawodniok, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a novel radio-frequency identification (RFID)-based smart freezer using a new inventory-management scheme for extremely low temperature environments. The proposed solution utilizes backpressure inventory control, systematic selection of antenna configuration, and antenna power control. The proposed distributed-inventory-control (DIC) scheme dictates the amount of items transferred through the supply chain. when a high item visibility is ensured, the control scheme maintains the desired level of inventory at each supply-chain echelon. The performance of the DIC scheme is guaranteed using a Lyapunov-based analysis. The proposed RFID antenna-configuration design methodology coupled with locally asymptotically stable distributed power control ensures a 99% …
Cs 470/670: System Simulation, Mateen M. Rizki
Cs 470/670: System Simulation, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 241: Computer Programming Ii, Travis E. Doom
Cs 241: Computer Programming Ii, Travis E. Doom
Computer Science & Engineering Syllabi
A continuation of CS240. The emphasis is on data abstraction and software engineering. Prerequisite: CS240.
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 5 and in Scheme.
Cs 701: Database Systems And Design I, Guozhu Dong
Cs 701: Database Systems And Design I, Guozhu Dong
Computer Science & Engineering Syllabi
An introduction to database design, database system implementation issues and techniques, and advanced data models and concepts.
Cs 765: Foundations Of Neurocomputation, John C. Gallagher
Cs 765: 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: Introduction To Computers And Office Productivity Software, Karen Meyer
Cs 205: Introduction To Computers And Office Productivity Software, Karen Meyer
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.
Ceg 220-01: Introduction To C Programming For Engineers - I, Ronald F. Taylor
Ceg 220-01: Introduction To C Programming For Engineers - I, Ronald F. Taylor
Computer Science & Engineering Syllabi
This course provides a general introduction to computers as a problem-solving tool using the C programming language. Emphasis is on algorithms and techniques useful to engineers. Topics include data representation, debugging, and program verification. Some programming assignments may involve complex arithmetic and trigonometric and exponential functions. 4 credit hours. The course includes a scheduled laboratory section for which you must register.
Ceg 720-01: Computer Architecture, Jack Jean
Ceg 720-01: Computer Architecture, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 433-01: Operating Systems, Sarah Gothard
Ceg 433-01: Operating Systems, Sarah Gothard
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 403/603-01: Personal Area Networks, Yong Pei
Ceg 403/603-01: Personal Area Networks, Yong Pei
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 730-01: Distributed Computing Principles, Prabhaker Mateti
Ceg 730-01: Distributed Computing Principles, Prabhaker Mateti
Computer Science & Engineering Syllabi
Communicating sequential processes, clients and servers, remote procedure calls, stub generation, weak and strong semaphores, split-binary-semaphores, and distributed termination. Example languages: SR, Linda.
Cs 205-01: Introduction To Computers And Office Productivity Software 2007, M. K. Reynolds
Cs 205-01: Introduction To Computers And Office Productivity Software 2007, M. K. Reynolds
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including word processing (intermediate), spreadsheets, databases, 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 240: Introduction To Computer Science I, Vanessa Starkey
Cs 240: Introduction To Computer Science I, Vanessa Starkey
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.
A Simulation Study Of Convergence Speed For Distributed Codeword Adaptation Algorithms In Cdma Wireless Systems, Sahana Maharjan
A Simulation Study Of Convergence Speed For Distributed Codeword Adaptation Algorithms In Cdma Wireless Systems, Sahana Maharjan
Electrical & Computer Engineering Theses & Dissertations
In this thesis we present a side-by-side comparison of interference avoidance (IA) algorithms for distributed codeword adaptation in Code Division Multiple Access (CDMA) systems. In CDMA systems, the interference is determined by the values of the cross-correlation of codewords assigned to users, and various algorithms can be used for codeword optimization. The IA algorithms for codeword adaptation considered are the eigen-algorithm, the Minimum Mean Square Error (MMSE) update, and the adaptive IA algorithm, for which we investigate convergence speed using the extensive simulations of several uplink CDMA system scenarios. The results of this thesis were presented at the Fourth IEEE …