Chutchavong, Vanvisa
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Preferred name
Chutchavong, Vanvisa
Alternative Name
Chutchavong, V.
Main Affiliation
Email
vanvisa.ch@kmitl.ac.th
5 results
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Item type:Publication, Study on Damage to Flexible Pavement Road in Thailand: Identification Types of Crack on Roads Using Image Processing Takes(2025-01-01); ;Doungpan, Satawat ;Kasettakarn, Witchapon ;Thiabkhuang, SurapitPhungtua-Eng, ThanapolThe detection and identification of flexible pavement road cracks pose a significant challenge for civil engineers when they start work at the beginning level, as it requires extensive work experience of engineers in classifying types of cracks for planning road maintenance. Inaccurate analysis and identification of cracks can negatively affect the quality of maintenance work and threaten the safety of road users in the future. This paper presents a case study of 60 asphalt roads managed by the Provincial Administrative Organization (PAO) in central of Thailand (case of two provinces, Uthai Thani and Nakhon Sawan), focusing on identification type road cracks. The study aims to address issues related to data preparation and classification across various domains Our data are fed model, which is photography to medium-resolution images of flexible pavement road cracks so that guidelines for engineers' inspection and identification of road cracks. We propose the development of a U-Net model specifically designed for image processing tasks. The results indicate that the U-Net model is effective in converting road cracks images into segmentation masks, and this effectiveness is evaluated using four well-defined key performance indicators. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Lifespan Estimation of Closed-Circuit Television (CCTV) Systems Using Weibull Modeling(2026-02-01); ;Pirajnanchai, Virote ;Doungpan, Satawat ;Kasettakarn, WitchaponPhungtua-eng, ThanapolEnsuring the availability and reliability of electronic components or materials during operation necessitates conducting a sampling inspection of their lifespan. This is particularly crucial when comparing equipment or materials deployed in various areas with diverse environments, conditions, and situations. Many studies rely on one-method parameter estimation methods, which fall short in identifying the two explicit parameters of the Weibull distribution. Moreover, inaccurate parameter estimation methods impede the attainment of reliable analysis results. Consequently, this paper introduces three analytical estimation methods to determine the parameters of the Weibull distribution. The accuracy of these methods is evaluated using the mean square error (MSE). Furthermore, we utlized the Kolmogorov–Smirnov and Anderson–Darling test on real datasets, confirming that the data follow a Weibull distribution. Simulation results indicate that the maximum likelihood estimate outperforms the other estimators by minimizing the MSE and yielding optimal parameters. These optimal parameters were then applied to real CCTV datasets, demonstrating a good fit and enabling assessment of CCTV lifespan through the mean time to failure, which is estimated to be 6.6 years. This holds true even when the equipment operates in environments with different conditions and situations. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Synthesis of Crossover Network Using O′Shea′s Transformation via URC(2024-01-01) ;Janchitrapongvej, Kanok; ;Doungpan, Satawat ;Ngammongkolwong, SudasawanRattanathanawan, PongpanThis paper describes method of synthesis two-way cross-over network, namely low-pass filter and high-pass filter. Firstly, we introduce synthesis method of obtain all-pass filter. We introduce O′Shea′s transformation P(s) = cosh√SRC and Wyndrum′s transformation W(s) = tanh√SRC via uniformly distributed RC (URC) network. After obtaining a desired all-pass filter, as an elementary process. We construct low-pass filter and high-pass filter by means of all-pass filter basis. Simulation results MATLAB are carried out and stability are also investigated. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design of Luminance-Chrominance Gain Equalizer Using Uniformly Distributed RC Circuits(2024-01-01); ;Pirajnanchai, Virote ;Doungpan, Satawat ;Ngammongkolwong, SudasawanRattanathanawan, PongpanThe propose of this paper is to design the luminance-chrominance gain equalizer use in the video waveform transmission. As it is known, the conventional measurement and gain corrector of chrominance distortion equipment is not so simple. This network corrector has to use fillers and delay time to separate the luminance signal and chrominance signal by means of low-pass and high-pass filter in connection. Here in, we deploy the uniformly distributed RC circuit (URC). We introduce two types of equalizers. The first type is to correct the luminance signal without deteriorating the chrominance signal. The second type is designed to correct the chrominance signal with no effect to luminance signal. Both equalizers comprise of a few gain amplifiers and URC circuits. From the simulation results, it is shown that the frequency response of gain equalizer given good effective in correcting video signal distortion. We also introduce the modulated sine-squared pulse test signal for measuring and correcting the amount of low gain and high gain of the chrominance signal. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Railway service planning system: Case study Thailand first high speed railway(2020-07-01) ;Lertwatechakul, Mayuree; ;Thongkrairat, Somsin ;Vijittanasan, AlongkornDoungpan, SatawatThe 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.1
