Handbook of image processing operators
Handbook of image processing operators
End-to-end internet packet dynamics
IEEE/ACM Transactions on Networking (TON)
Human iris detection using fast cooperative modular neural nets and image decomposition
Machine Graphics & Vision International Journal
Complex-Valued Neural Networks: Theories and Applications (Series on Innovative Intelligence, 5)
Complex-Valued Neural Networks: Theories and Applications (Series on Innovative Intelligence, 5)
Speeding-up normalized neural networks for face/object detection
Machine Graphics & Vision International Journal
A novel high-speed neural model for fast pattern recognition
Soft Computing - A Fusion of Foundations, Methodologies and Applications
New fast principal component analysis for real-time face detection
Machine Graphics & Vision International Journal
Complex-valued multistate neural associative memory
IEEE Transactions on Neural Networks
Surveillance of video signals over computer networks
ACC'11/MMACTEE'11 Proceedings of the 13th IASME/WSEAS international conference on Mathematical Methods and Computational Techniques in Electrical Engineering conference on Applied Computing
Real-time transmission of video streaming over computer networks
EHAC'12/ISPRA/NANOTECHNOLOGY'12 Proceedings of the 11th WSEAS international conference on Electronics, Hardware, Wireless and Optical Communications, and proceedings of the 11th WSEAS international conference on Signal Processing, Robotics and Automation, and proceedings of the 4th WSEAS international conference on Nanotechnology
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Accurate available bandwidth measurement is very useful for network performance modeling, system administrators who want to transfer large amounts of data from one data repository to another, in case of grid, job schedulers, use the prior knowledge about the available bandwidth while scheduling the job and performing any data intensive activity over the grid. Unfortunately, available bandwidth is also very difficult parameter to measure which is further dependent on many factors especially over very heterogeneous environment such as the internet. A lot of research is carried out these days over the techniques to measure the available bandwidth but none of them provide us with 100% accurate results. In this paper we would discuss relationships of different parameters with available bandwidth i.e. jitter, packet loss, throughput and blocking probability. These factors play a very important role in the accurate measurement of available bandwidth but at the same time they are very rarely given consideration while measurement of available bandwidth. This paper highlights the importance of these parameters while measuring available bandwidth. In addition, a new approach for fast detecting certain information in a channel is presented. The entire data are collected together in a long vector and then tested as a one input pattern. Proposed fast time delay neural networks (FTDNNs) use cross correlation in the frequency domain between the tested data and the input weights of neural networks. It is proved mathematically and practically that the number of computation steps required for the presented time delay neural networks is less than that needed by conventional time delay neural networks (CTDNNs). Simulation results using MATLAB confirm the theoretical computations.