Chutchavong, Vanvisa
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Chutchavong, Vanvisa
Alternative Name
Chutchavong, V.
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Email
vanvisa.ch@kmitl.ac.th
57 results
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Item type:Publication, Ultra-wideband slot antenna on flexible substrate for WLAN/WiMAX/UWB Applications(2014-01-01) ;Archevapanich, Tuanjai ;Lertwatechakul, Mayuree ;Rakluea, Paitoon ;Anantrasirichai, NoppinAn ultra-wideband slot antenna on flexible substrate is designed to support a wide range of wireless communication systems. The antenna is a rectangular slot antenna fed by microstrip line with conductor strip and tuning stub on flexible substrate (Mylar Polyester film). The rectangular slot is etched out from the ground plane with conductor strip in the slot, and the other plane contains a microstrip line with tuning stub. The proposed antenna’s effective frequency range covers overall standard bands of WLAN, WiMAX, and UWB. The antenna was simulated and analyzed by using IE3D Zeland software [1]. And the simulation results presents the characteristics of the antenna in terms of bandwidth return loss, VSWR, and radiation patterns. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A triple band antenna using dipole and interdigital structures(2018-06-01) ;Archevapanich, Tuanjai ;Chomtong, Pongsathorn; Akkaraekthalin, PrayootThis paper proposes a triple band antenna using interdigital technique based on a planar dipole structure. The antenna has been designed at the fundamental frequency of 1.8 GHz. With this proposed technique, the harmonic frequency bands of 2.45 and 5.2 can be created. The designed antenna can support various applications including indoor LTE, WLAN and wireless sensor base station systems. The simulation results of the antenna show superior characteristics in form of return loss and radiation pattern. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, New adjustable non-linear characteristic approximated by bernstein polynomial for guitar effect(2017-11-24) ;Sookcharoenphol, Dolchai; Janchitrapongvej, KanokThis paper presents approximating non-linear behavior of distortion guitar effect such as Fuzz and Overdrive by Bernstein polynomial with low orders in the form of electrical signal. The Bernstein method can be adjusted parameters by manual, in order to designing a new sound of distortion effect. The method was confirmed effectively by a ratio of harmonics. Original effects were generated by electronic circuit, which couldn’t be adjusted. In the other hand, the Bernstein method can be identified a dominant feature sound and developed on other devices such as software or application not the same as distortion effect circuit. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mathematical modeling ECG waveform using abel's bernstein polynomials(2019-12-01)This paper presents the new mathematical model with Abel's Bernstein polynomials, that we use to approximate the curve of ECG. The Abel's Bernstein polynomials can simulate a curve of ECG that has a similarity to the normal ECG waveform and the ECG-ID Database (ecgiddb). As the results, Abel's Bernstein Polynomials models can reduce the value of order (n) and reduce the step of design procedure more than the Bernstein polynomial, Bézier-Bernstein model and Rational Bézier-Bernstein Model those are quite easy to realize an ECG waveform implementing circuit at a low cost. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An improved performance simulated annealing based on evolution strategies for single objective optimization problems(2020-07-01); ;Pumee, Thanapoom ;Thongkrairat, SomsinThis paper presents solutions for single objective optimization problems with developed algorithm from simulated annealing based on a simple (μ + λ) -ES, It is divided into two algorithms, separated mutation (SM1) and survival mutation (SM2). After that, compared with randomized local search and simulated annealing. The test function is part of the IEEE WCCI 2020 on the topic of CEC-C2 single objective bound constrained optimization. This research has chosen the basic functions in the test such as Bent cigar function, rastrigin function, high conditioned elliptic function, HGBat function, rosenbrock's function, griewank's function, discus function, expanded schaffer's function, weierstrass function, sphere function, natyas function, lévi function N.13, himmelblau's function, and three-hump camel function. These functions are attract attention and competition. A results of SM1 and SM2 can solve single objective optimization problems better than RLS and SA. In high conditioned elliptic, The fitness value of RLS is equal to 3.96E-11, The fitness value of SA is equal to 8.12E-10, The fitness value of SM1 is equal to 5.39E-14 and The fitness value of SM2 is equal to 9.70E-15, It let us show the efficiency of SM2 that can get better results than SM1. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design a Monitoring System for Lignite Transferring by Dump Trucks in the Coal Mine Using Deep Learning at the Edge Combined with Cloud Service(2021-01-01) ;Arjchariyaphat, Kritsada; This research presents the design of a monitoring system for lignite transferring by dump trucks. The hardware developed has a camera to detect and process at the edge level. Two parallel processing models are applied for deep learning classification on the edge systems. The optimization model on the edge devices can be worked with performance and memory limitations in real-Time. In the fields experiments, the three-class output model had high accuracy with low FPS, so it was reduced to one class. In an object-detection design, YoloV4 and EfficientDet-D4 provide 95% and 98% accuracy, respectively, with low FPS. To apply the model optimization using TensorFlow Lite, accuracy is achieved 97% and 96% with higher FPS and better CPU utilization performance that can reduce 30.7% in thermal performance of CPU. The dump truck classification used the mobileNet, EfficientNet, and Xception models. The results show the Xception was the most accurate at 99.0%, demonstrating the model optimization for processing. The results are on the edge that can be effectively deployed into the fields. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Circularly polarized right angle slot antennas for WLAN of IEEE 802.11b/g(2008-12-01); ;Benjangkaprasert, C. ;Anantrasirichai, N.; Wakabayashi, T.In this paper, the design consideration for right-hand (clockwise) and left-hand (counterclockwise) circularly polarized microstrip slot antennas are presented. The circularly polarized antenna consists of two right angle slot antennas that is two orthogonal modes in phase quadrature or an array of linearly polarized slot with proper orientations and phases. This antenna can generate circular polarization by radiating orthogonal field components from two slots with equal amplitude but in phase quadrature. Two orientations for circularly polarized are investigated in this paper from simulation and measurement results are shown at resonance frequency 2.45 GHz on return loss, VSWR and radiation patterns.I © 2008 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, New flat pass-band of low-pass responses with varying attenuation in stop-band(2017-11-24) ;Sookcharoenphol, Dolchai; Janchitrapongvej, KanokThis paper presents an approximation of low-pass filter responses with adjustable stop-band attenuation in order to designing a high quality filter. The filter is based on QBernstein polynomial, which can be adjusted attenuation in stop-band by varying three parameters of the transfer function. A coarse attenuation in stop-band is provided by adjusting two parameters (epsilon and alpha) and a fine attenuation step is determined by Q parameters. The results of simulation were shown the filter, given attenuation in stop-band better than conventional filter at a second-order. Moreover, this paper proposes the filter which provides both flat magnitude and group delay characteristics in the pass-band. Therefore, it can useful for the high quality filter network as an audio crossover network. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A time improvement PSO base algorithm using multithread programming(2019-12-01) ;Thongkrairat, SomsinThis paper proposes a method to improve the processing time of algorithm that bases on Particle Swarm Optimization (PSO) such as Original PSO, AS-PSO (Ant Supervised by Particle Swarm optimization), ACO (ant colony optimization) by using multithread programming technique. Typically, the PSO Base algorithm creates several particles to find the optimized solution. Each particle owns its local process and resource, but original implementation has been processed in a single thread or sequential computation system. That causes the system to take a longer time to compute when increasing the number of particles. It makes the system slow down when implementing a massive amount of particles and ambiguous to estimated efficiency for each algorithm. This method takes advantage of a multithread computing system for utilizing resources on the system to reduce computation time. The proposed method use thread as particle to manage local resource and implement multithreading system and use thread synchronization system to manage global resource and exchange data between particle. To measure the efficiency of this method Traveling Salesman Problem (TSP) used to be a problem to optimize and compare computation time between the original method and the proposed method. The experimental result show correctness and time improvement of the proposed method compared with the original method. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Modeling ECG waveform using optimal smoothing Bézier-Bernstein curves(2017-12-19) ;Soontornvorn, Rachanart ;Fujioka, Hiroyuki; Janchitrapongvej, KanokThis paper considers a problem for modeling mathematically waveform of some Electrocardiogram (ECG) which is the process of measuring and recording the electrical activity of the heart over a period of time. Such a modeling is done by using the smoothing Bézier-Bernstein curves. A concise representation for desigining the optimal curves with high precision is derived, which has the additional merit of lending itself to the development of computational procedures in a straightforward manner. The usefulness and effectiveness are demonstrated by some experimental studies.
