Human iris detection using fast cooperative modular neural nets and image decomposition
Machine Graphics & Vision International Journal
Speeding-up normalized neural networks for face/object detection
Machine Graphics & Vision International Journal
The Emerging Ethics of Humancentric GPS Tracking and Monitoring
ICMB '06 Proceedings of the International Conference on Mobile Business
New fast normalized neural networks for pattern detection
Image and Vision Computing
Application of global positioning system (GPS) in earth sciences teaching
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
A New Implementation for High Speed Normalized Neural Networks in Frequency Space
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I
A new fast forecasting technique using high speed neural networks
WSEAS Transactions on Signal Processing
A novel fast Kolmogorov's spline complex network for pattern detection
WSEAS TRANSACTIONS on SYSTEMS
A modified Hopfield neural network for perfect calculation of magnetic resonance spectroscopy
WSEAS Transactions on Information Science and Applications
A perfect QoS routing algorithm for finding the best path for dynamic networks
WSEAS TRANSACTIONS on COMMUNICATIONS
A real-time intrusion detection algorithm for network security
WSEAS TRANSACTIONS on COMMUNICATIONS
New fast principal component analysis for real-time face detection
Machine Graphics & Vision International Journal
Fast information processing over business networks
AIC'09 Proceedings of the 9th WSEAS international conference on Applied informatics and communications
honeyM: a framework for implementing virtual honeyclients for mobile devices
Proceedings of the third ACM conference on Wireless network security
Fast human motion tracking by using high speed neural
SSIP '09/MIV'09 Proceedings of the 9th WSEAS international conference on signal, speech and image processing, and 9th WSEAS international conference on Multimedia, internet & video technologies
PorKI: portable PKI credentials via proxy certificates
EuroPKI'10 Proceedings of the 7th European conference on Public key infrastructures, services and applications
A new fast neural network model
ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science
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In this paper, the design considerations of Global Positioning System (GPS) is presented. Simulation issues related to implementing a GPS jamming signal in a laboratory test environment are introduced. These issues pertain to jamming accuracy requirements. Furthermore, important design parameters that may affect jamming system performance are discussed. In addition, an example of the Navigation Laboratory jamming system is given. It addresses fabrication issues, data requirements, error handling, local and remote operations, and how to attain high accuracy and repeatability during the generation and measurement of jamming. Moreover, a new approach for fast detection of GPS signal 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.