Chutchavong, Vanvisa

Preferred name

Alternative Name

Chutchavong, V.

Main Affiliation

School of Engineering

vanvisa.ch@kmitl.ac.th

Now showing 1 - 6 of 6

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Optimized Gaussian Pulse Design for UWB System Using Particle Swarm Optimization Based-on Generalized Bessel Polynomials
(2022-01-01)
Chutchavong, Vanvisa
;
Anuwongpinit, Thanavit
;
Purahong, Boonchana
;
Archevapanich, Tuanjai
;
Janchitrapongvej, Kanok
The ultrawideband system operates a very short pulse with enormous bandwidth to provide high data rates for data transmission. To design the UWB pulse, considering the pulse shape is very necessary, and a spectral emission mask of the designed pulse should meet the FCC spectral mask requirement between frequency range 3.1 GHz to 10.6 GHz. The traditional UWB pulse design is based on the Gaussian derivative. However, the frequency spectrum is not satisfied the FCC spectral mask requirement. In this study, the Gaussian pulse can be designed from the mathematical characteristic of the generalized Bessel polynomial. The spectral efficiency of the proposed pulse can be improved by the combination of the derivative of Gaussian pulse with a weight coefficient optimization with particle swarm optimization (PSO). PSO is a population-based optimization algorithm inspired by animal behavior. PSO is applied with generalized Bessel polynomial transfer function to gain the best weight coefficient, we proposed to optimize its weight vector to design a pulse that exceeds to FCC spectral mask. The results were found in MATLAB software show that generalized Bessel polynomials can approximate the proposed pulse with combination method and PSO. The spectral efficiency is improved to 89.30% and the spectrum is greater close to the FCC spectral mask requirement. To confirm an improved spectral efficiency compared to the previous works.
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An improved performance simulated annealing based on evolution strategies for single objective optimization problems
(2020-07-01)
Chutchavong, Vanvisa
;
Pumee, Thanapoom
;
Thongkrairat, Somsin
;
Anuwongpinit, Thanavit
This 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.
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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
;
Anuwongpinit, Thanavit
;
Chutchavong, Vanvisa
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.
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Development of high-speed railway system teaching platform in Thailand
(2020-07-01)
Chutchavong, Vanvisa
;
Anuwongpinit, Thanavit
;
Thongkrairat, Somsin
;
Vijittanasan, Alongkorn
;
Pumee, Thanapoom
Computer Assisted Instruction (CAI) is well-known as the most effective tool for interactive education and training. Such kind of tools is essential for learning and practicing in high-speed rail system that engages very complex technologies. In this paper, we propose designing and developing of a high-speed railway system teaching platform that can simulate major railway subsystems include train service planning, timetabling, train utilization, and train operation and control. The teaching platform will provide realistic and clear demonstrations of a high-speed railway system by using Thailand's first high-speed rail route.
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Sine-Squared Pulse Approximation for Matched Filter Design Using Generalized Bessel Polynomials and Particle Swarm Optimization
(2022-01-01)
Chutchavong, V.
;
Anuwongpinit, T.
;
Pumee, T.
;
Benjangkaprasert, C.
;
Janchitrapongvej, K.
This paper presents the study of mathematical characteristics of generalized Bessel polynomial that can be applied to approximate a sine-squared pulse for designing matched filters in communication systems. The proposed pulse can be designed by using the transfer function, in which the numerator is the five pairs of a transmissions zero pairs, and the generalized Bessel polynomial is used as the denominator. A parameters of generalized Bessel polynomials can be adjusted by particle swarm optimization to find the best parameter value. From the simulation results can be found that a parameter can be adjusted. A proposed pulse is close to the ideal response in mainlobe, and one sidelobe to four sidelobes with stability, which outperformed previous research.
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Railway service planning system: Case study Thailand first high speed railway
(2020-07-01)
Lertwatechakul, Mayuree
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Anuwongpinit, Thanavit
;
Thongkrairat, Somsin
;
Vijittanasan, Alongkorn
;
Doungpan, Satawat
The railway service planning needs to take many factors into account in order to provide cost-effective services those meet the passenger transportation demands while maximizing the benefits. The task is a true challenge for service planners. The railway service planning system must be designed to cover the specific requirements of users that be able to calculate the cost of service operation and the revenue that is consistent with passenger volume. The results can be summarized in numerical and shown in the time graph. Thus, it could help visualize the overall factors and results to the user. Therefore, the user can adjust the service plan conveniently and effectively in a heuristic way.
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Chutchavong, Vanvisa

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