• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.351-362
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• 2020

This research investigates the credit management guidelines to strengthen Thai industrial sector. The research has been simulated from the findings of both qualitative and quantitative of 500 questionnaires distributed to industrial business executives in Thailand. The data were analyzed by descriptive analysis categorized into SME and large enterprises, and SEM to conduct the model in consistent with the empirical data. The results show that: (1) the credit management guidelines consist of 4 factors: a) characteristics management b) financial management c) operations management and d) assets management. The business executives gave overall importance on the guidelines at a high level with an average of 3.86. (2) The development of SEM shows that the model fits with the empirical data at Chi-Square probability level = 0.084, CMIN/DF = 1.164, GFI = 0.965 and RMSEA = 0.018. (3) The characteristics management directly influences the financial management and the operation management. The financial management directly influences on the assets management. The assets management has direct influence on the operations management. The findings show that the characteristics management is the essential starting component in SEM and the financial management factor has the most influence in the assets management variable with standard regression weight of 0.990.

• Asian-Australasian Journal of Animal Sciences
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• v.5 no.2
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• pp.365-368
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• 1992

The experiment was carried out to estimate the energy and protein requirements of Khaki Campbell $\times$ Thai Native laying ducks. To estimate the energy requirement, 5 experimental diets were formulated at levels of 2.70, 2.75, 2.80, 2.85 and 2.90 Mcal ME/kg. These diets were equal in ME/CP ratio (170/l). A total of 150 18-week old laying ducks were assigned to 5 energy level treatments, each comprising 3 replicates of 10 birds each, and they were fed the diets for 18 weeks. To estimate the protein requirement, 90 18-week old laying ducks were divided into 9 groups of 10 birds each, and they were assigned to 3 protein level treatments, each comprising 3 replicates. The levels of protein in the diets were 13.5%, 15.0% and 16.5%, and all diets were isocaloric (2.8 Mcal ME/kg). As a result, the 16.5% protein diet gave significantly better egg production than the 13.5% and 15.0% protein diets, however, no significant difference in egg production was found among the energy levels. Feed cost to produce 1k eggs was lower in the 2.70 Mcal and 16.5%protein diets than in the higher ME and lower protein diets.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.131-141
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• 2020

This study examines the poverty indicators in Northeast region of Thailand by adopting the global Multidimensional Poverty Index (MPI) methodology and the national survey of Minimum Basic Needs (MBN) of Thailand. Data are collected from three different districts in Khon Kaen province namely: Khok Po Chai, Sam Sung, and Nam Pong. The sample size is 187 households. Data analysis uses Ordinary Least Square (OLS) regression approach and includes 7 dimensions of poverty (health, environment, education, economy, Thai value, asset? empowerment, and digital literacy) with a total of 41 indicators. This study has found that poverty indicators in Khon Kaen province remains centered around the aspects of health and employment dimensions. While a change of family structure in the Thai society since 1960s reduces the family size, household saving substantially increases over the years. The effects of health dimension in poverty, on the other hand, appears on the other poverty dimension of Thai value, which include (1) a bad living habit of head of household (smoke or alcohol consumption) that links with illness and disease, (2) religious practice, and (3) chronic illness. Lastly, there are income gaps of different careers in the area, which suggests the issue of income inequality.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.715-721
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• 2020

This paper aims to investigate the factors affecting the quality of rural labor in Vietnam, a case study in Thai Nguyen province. For this purpose, we establish an integrated framework of factors affecting the quality of rural labor. We use Fuzzy analytic hierarchy process (Fuzzy-AHP) to assess the weight of the criteria and sub-criteria of rural labor quality. This method introduced by Saaty (1987) is a useful tool to cope with the complexity of decision-making. The Fuzzy-AHP is one of the most common Multi-Criteria Decision-Making instruments for dealing with quantifiable and intangible criteria, which reflect the relative importance of the alternatives based on constructing a pairwise comparison matrix. The results show that the four most weighted factors are institutions, local government policies, technical qualifications, and mentality. In particular, the weight of the institution is the largest (0.2343), meaning that this factor is the most important one affecting the quality of rural labor in Thai Nguyen province. The weight of local government policy is close to that of institution, about 0.2259. The weights of technical qualification and mentality are 0.1238 and 0.1135, respectively. In addition, age and education levels do not significantly affect the rural labor quality of Thai Nguyen province.

• Korean journal of food and cookery science
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• v.16 no.1
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• pp.91-97
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• 2000

The cooking properties of imported rice (Thai and Chinese rice, harvested in 1998) were compared with those of domestic rice(Chuchung byeo, harvested in 1998 and 1997). The morphology, general composition, color value, RVA viscosities, cooking properties, texture and sensory properties of raw or cooked rice were measured. Thai rice showed lower water absorption rate than others, however its amylose content and gelatinization temperature were higher. While the cooked Thai rice showed the least preference due to its hard and nonsticky properties, Korean rice harvested in 1998 showed the greatest cooking quality in stickiness and softness. Although Chinese rice was inferior to Korean rice harvested in 1998, there were no significant difference between Chinese rice harvested in 1998 and Korean rice harvested in 1997.

• Proceedings of the IEEK Conference
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• 2000.07a
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• pp.326-328
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• 2000

The paper proposes the scheme of skew detection for Thai printed document images by using linear regression algorithm. It intends to use with the Thai character recognition systems to reduce the skew detection time. This scheme begins by finding the center of gravity of a document image. This point is used as the starting point for gathering data in the scheme. The data is obtained by scanning incrementally one pixel in vertically with the width of 20-pixels. After the scanning process, if data Is different from it's neighbor more than ${\pm}$ 15 pixels, it will be considered as noise or data in other lines and will be deleted. The last step is the operation by using linear regression algorithm on these selected data and the skew angle will be obtained. The proposed method has been tested with 45 document images with different fonts, sizes and skew angles. The experiment results show that the proposed method can detect the skew angle with the error of less then one degree. The average processing time is about 19 times faster than that of the Hough Transform method.

• Journal of Navigation and Port Research
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• v.37 no.4
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• pp.359-366
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• 2013

The objective of the research was to study the determinants affecting the decision to study nautical science program within a Thai maritime institute in preparation for working post-graduation as a ship officer on a merchant ship. The samples are classified by institute, academic year, cumulative score level, domicile, and parent's monthly income. The total sample of study was 386 Thai merchant marine students. The data collection method was a one to five rating scale questionnaire. The statistical methods applied in analyzing the data were percentage, mean, standard deviation, t-test, one way analysis of variance and a Sheffe's test. The study shows seven factors that influenced the decision in descending order; expectations, tuition and scholarships, selection system, quality of the institute, background and private capability, generality of the institute and external influences on the decision. The decision to select an institute was classified by institute and revealed that different institutes had distinct determinants that led to the decision. The students were from The Merchant Marine Training Center and from The International Maritime College, Kasetsart University were differences. There were no dissimilarity between academic year, cumulative score level, domicile, and parent's monthly income.

• Journal of Navigation and Port Research
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• v.35 no.2
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• pp.149-157
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• 2011

The objective of this study was to compare the attitude of merchant marine student of Thailand in 3 aspects; cognitive, affective and behavioral classified by institutes, domiciles, parent's occupation, parent's income per month, motivation and information receiving concerning mariner profession. The sample used in this study consisted of 867students in maritime institutes of Thailand. The instrument implemented in collecting data was a set of 30 five rating scale questionnaires. The statistical methods applied in analyzing the data were mean, standard deviation, t-test and one way analysis of variance and fisher's LSD. The results of this research shows that the attitude in vocational education of Thai merchant marine student was of the high in every aspect. Attitude for mariner profession of Thai merchant marine student in terms of different institutes had different in all aspects. In terms of different domiciles, it shows different attitude in affection and similar attitude in cognition and behavior. In terms of parent's occupation, it shows similar in all aspects. In terms of parent's income per month, it shows different attitude in cognition and affection and similar attitude in behavior. In terms of motivation, it shows similar in all aspects. In terms of information receiving concerning mariner profession, it shows different attitude in all aspects.

• Journal of Information Processing Systems
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• v.13 no.5
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• pp.1213-1228
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• 2017

The pitch tracking of music has been researched for several decades. Several possible improvements are available for creating a good t-distribution, using the instantaneous robust algorithm for pitch tracking framework to perfectly detect pitch. This article shows how to detect the pitch of music utilizing an improved detection method which applies a statistical method; this approach uses a pitch track, or a sequence of frequency bin numbers. This sequence is used to create an index that offers useful features for comparing similar songs. The pitch frequency spectrum is extracted using a modified instantaneous robust algorithm for pitch tracking (IRAPT) as a base combined with the statistical method. The pitch detection algorithm was implemented, and the percentage of performance matching in Thai classical music was assessed in order to test the accuracy of the algorithm. We used the longest common subsequence to compare the similarities in pitch sequence alignments in the music. The experimental results of this research show that the accuracy of retrieval of Thai classical music using the t-distribution of instantaneous robust algorithm for pitch tracking (t-IRAPT) is 99.01%, and is in the top five ranking, with the shortest query sample being five seconds long.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.961-969
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• 2021

The study aimed to investigate the level of customer trust, loyalty, and re-purchase intention of coastal tourism in Thailand during the COVID-19 crisis; to test the different levels of customer trust, loyalty, and re-purchase intention by local tourists between East-side and West-side coasts of Thailand; and to examine the influence of customer trust and loyalty on re-purchase intention in coastal tourism. Using multistage sampling, this study sampled 487 Thai local tourists who had experienced coastal tourism in Thailand during the COVID-19 crisis. A questionnaire, descriptive analysis, independent sample t-test, correlation matrix, and multiple regression analysis were used to collect and analyze the data. All customer trust, loyalty, and re-purchase intentions in coastal tourism by local tourists were at a high level. There were significantly different levels of customer trust, loyalty, and re-purchase intentions by local Thai tourists between the East-side and West-side coasts of Thailand. Moreover, the study found that there was a significant positive influence of customer trust and loyalty on re-purchase intentions in coastal tourism by local tourists in Thailand during the COVID-19 crisis. This study indicates that Thai tourism industry still must develop and improve its local customer loyalty and trust because these positively influence customer re-purchase intentions.