Chutchavong, Vanvisa
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Preferred name
Chutchavong, Vanvisa
Alternative Name
Chutchavong, V.
Main Affiliation
Email
vanvisa.ch@kmitl.ac.th
8 results
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Item type:Publication, An IIR digital video equalizer design with the bernstein polynomial and generalized bilinear transformation for gain chrominance distortion(2008-12-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Measurement and examination of the relation between ionospheric scintillation expression methods in equatorial region(2002-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Improved model for traffic fluctuation prediction by neural network(2007-12-01); Sangaroon, O.The traffic prediction are mainly used to improve the performance of telecommunication network management. This paper improved model for telephone traffic prediction in Thailand by using artificial neural network (ANN) with back propagation learning algorithms. By applied data which is collected at different node in main routes of TOT, Thailand telephone network for learning process and testing. The neural network structure and input/output musters are descried in detail. We present the comparatively results of simulation with another methods, the results shows traffic fluctuation prediction by the method of ANN is accurately. ©ICROS. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A variable luminance-chrominance gain equalizer(2010-07-30); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Adaptive equalization of the distorted chrominance signal using VSQLMp error criterion(2004-12-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, ANN based NGN IP traffic prediction in Thailand(2007-12-01); Sangaroon, O.This paper presents a study of using Artificial neural network (ANN) in predicting IP traffic fluctuation in IP based next generation network (NGN) in Thailand. By analyzing the time level correlation of traffic flow over TOT IP core network, monitor by the Multi Router Traffic Grapher (MRTG) from January,2006 to December, 2006 at Latya and Phrakhanong exchange. For comparison purposes, the back propagation learning algorithms are considered, in particular, optimization techniques with statistical methods prediction such us Double Exponential smoothing, Lest Square Methods and Adaptive response rate simple exponential smoothing method are applied for predicting the same node of problems. Computational results by using the data monitoring at Latya exchange for training and actual traffic in Phrakhanong area to check prediction correctness show that the based ANN method obtained better results, it can be prediction more precisely. © ICROS. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A mathematical model for ECG waveform using rational Bézier curves and Bernstein polynomials(2014-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Object-oriented design message control multi-threaded execution(2006-12-01); Sangaroon, O.Threads class is represented as object the oriented design in programming languages. The multi-threaded execution collides from the same data access. This problem is fixed by synchronization critical section method in every thread, when the process is finished its behavior of terminated time of multithreading. Another problem arises due to threads class does not concurrent terminate execution. This paper also presents an object-oriented design using message control to solve concurrent terminated execution problem. By using a concept that every thread can be communicate to the center of object class. The main object decides to handle on every thread with stability executions. The benefit of handle during run time is broken and continue execute of threads. Using Delphi programming carries out an experimental result. © 2006 ICASE.