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51 results for “propagation algorithm”
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Research ArticleOpen accessIn the abstractArtificial Neural Network Approach in Radar Target ClassificationN.K. Ibrahim, R.S.A. Raja Abdullah, M.I. SaripanProblem statement: This study unveils the potential and utilization of Neural Network (NN) in radar applications for target classification. The radar system under test is a special of it kinds and known as Forward Scattering Radar (FSR). In this study the target is a ground vehicle which is represented by typical public road transport. The features from raw radar signal … …Journal of Computer Science, Vol. 5, Issue 1 · 31 Jan 2009 · 9,370 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Depth Estimation System for Laboratory Studies using Video ImageryAlec Torres, Rodolfo SilvaA simple video-based system has been developed for depth estimation based on wave propagation characteristics. A numerical simulation of a long-crested monochromatic wave propagating over a beach with straight and parallel contours is used for testing the depth inversion system. An oblique video, simulating field conditions, is recorded, digitized and rectified for its further analysis. Pixel intensity time series from … …American Journal of Environmental Sciences, Vol. 4, Issue 3 · 30 Jun 2008 · 6,655 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Token-Based Fair Algorithm for Group Mutual Exclusion in Distributed SystemsAbhishek Swaroop, Awadhesh Kumar SinghThe group mutual exclusion (GME) problem is a generalization of the mutual exclusion problem. In group mutual exclusion, a process requests a session before entering its critical section (CS). Processes requesting the same session are allowed to be in their CS simultaneously, however, processes requesting different sessions must execute their CS in mutually exclusive way. The paper presents a token-based … …Journal of Computer Science, Vol. 3, Issue 10 · 31 Oct 2007 · 7,095 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Pulsewidth Analysis in the Presence of PMD and PDL in Optical Fibers Using Neural Network AlgorithmA. Sivasubramanian, V. C. RavichandranIn long haul networks, the random birefringence induced in the optical fiber leads to a considerable Polarization Mode Dispersion (PMD). Polarization Dependent Loss (PDL) mainly occurs in optical components and depends on the state of polarization of optical signals. The presence of PMD and PDL causes pulsewidth narrowing and the pulsewidth reduction depends on states of polarization at which the … …Journal of Computer Science, Vol. 3, Issue 4 · 30 Apr 2007 · 7,053 accessesView PDFCite
Research ArticleOpen accessIn the abstractADOPEL: ADAPTIVE DATA COLLECTION PROTOCOL USING REINFORCEMENT LEARNING FOR VANETSAhmed Soua, Hossam AfifiEfficient propagation of information over a vehicular wireless network has usually remained the focus of the research community. Although, scanty contributions have been made in the field of vehicular data collection and more especially in applying learning techniques to such a very changing networking scheme. These smart learning approaches excel in making the collecting operation more reactive to nodes mobility … …Journal of Computer Science, Vol. 10, Issue 11 · 22 Jul 2014 · 8,414 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Network Based Rotor Capacitive Reactance Control for Energy Efficient Wound Rotor Induction MotorK. Ranjith Kumar, S. Palaniswami, K. Siva KumarProblem statement: The Rotor reactance control by inclusion of external capacitance in the rotor circuit has been in recent research for improving the performances of Wound Rotor Induction Motor (WRIM). The rotor capacitive reactance is adjusted such that for any desired load torque the efficiency of the WRIM is maximized. The rotor external capacitance can be controlled using a dynamic … …Journal of Computer Science, Vol. 8, Issue 7 · 26 May 2012 · 7,162 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of Pan Evaporation Coefficient using Neuro-Genetic ApproachPakorn Ditthakit, Chaiyuth ChinnarasriProblem statement: The pan evaporation coefficient (Kp) is used to convert pan Evaporation (Ep) to reference Evapotranspiration (ETo) due to its simplicity and suitability for locations with limited availability of meteorological data. Approach: This study presents the use of neuro-genetic approach for estimating Kp for Class A pan and Colorado Sunken pan under green and dry fetch conditions. Results: Representative … …American Journal of Environmental Sciences, Vol. 7, Issue 4 · 10 Oct 2011 · 7,207 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeural Network Change Detection Model for Satellite Images Using Textural and Spectral CharacteristicsA. K. Helmy, Gh. S. El-TaweelProblem statement: Change detection is the process of identifying difference of the state of an object or phenomena by observing it at different time. Essentially, it involves the ability to quantify temporal effects using multi-temporal data sets. Information about change is necessary for evaluating land cover and the management of natural resources. Approach: A neural network model based on both … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 4 Nov 2010 · 8,156 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Control-Oriented Coverage Metric and its Evaluation for Hardware DesignsShireesh Verma, Kiran Ramineni, Ian G. HarrisProblem statement: Dynamic verification, the use of simulation to determine design correctness, is widely used due to its tractability for large hardware designs. A serious limitation of dynamic techniques is the difficulty in determining whether or not a test sequence is sufficient to detect all likely design errors. Coverage metrics are used to address this problem by providing a set … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,528 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Analysis of Structures Using Neural NetworksN. Ahmadi, R. Kamyab Moghadas, A. LavaeiIn the recent years, neural networks are considered as the best candidate for fast approximation with arbitrary accuracy in the time consuming problems. Dynamic analysis of structures against earthquake has the time consuming process. We employed two kinds of neural networks: Generalized Regression neural network (GR) and Back-Propagation Wavenet neural network (BPW), for approximating of dynamic time history response of … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,154 accessesView PDFCite