Nowadays artificial intelligence is being used in a growing variety of applications. Whether in public health the areas of cybersecurity agriculture finance and many others have resulted in the countrys rapid development. In spite of the leap in progress but the problem of thefts increased steadily. According to the statistics collection in 2011 there were 152228 crimes and 92.5% of the property incidents occurred. The injured person will know the cause later and tracking the villain quite difficult development of home intrusion detection devices with Line notifications as a way to proactively alert when such an event occurs. Based on the principle of artificial intelligence to help it.

The objective of this paper is to study: 1) Impact of change in TFRS for PAEs during 2014 – 2020 for annual reports of Agriculture Business and Foods from SET; 2) Level of earnings quality and profitability ratio of Agriculture Business and Foods from SET during 2014 - 2020; and 3) Factors affecting on level of earnings quality and profitability ratio of Agriculture Business and Foods from SET during 2014 – 2020. Data was collected from 35 firms by using Consolidated Financial Statement Annual Report by using Modified Jones Model. This research results used SPSS software for analyses Descriptive Statistics and Multiple Regression Analysis. The results showed that: 1) Almost CEO has chosen to reduce the impact of change in TFRS and report only necessary impact. They showed the only materiality of professional judgement by adjusted in the impact of unappropriated retained earnings at the beginning periods for adjusted separate entry in Change in Financial Position Statement. This result also showed that almost items during 2019 and 2020 have more impact from change in TFRS 15 TFRS 7 TFRS 9 and TAS 32; and 2) Before TFRS for PAEs have impact (published) It showed the effects of fluctuation on Discretionary Accrual (DAC). It trends to decrease in Discretionary Accrual after TFRS for PAEs have published for many years. However it showed that level of earnings quality by using DAC between 2014 – 2020 was not significant at α = 0.05 or level of significant at 95%. While the consolidated financial statements during 2014 – 2017 Agriculture Business and Foods have increasing in ROA continuously. However after situations of impact from changing TFRS in 2019 – 2020 and situation of Corona Virus 2019 have effect on the fluctuation of ROA decreasingly.; and 3) the effect of change in TFRS for PAEs and type of ownership structures and group of businesses have no impact on level of earnings quality at significant level (α =0.05). However the effect of change in TFRS for PAEs has negative impact on return on assets (ROA) at significant level (α <0.01). While type of ownership structure group of businesses and firm size have positive impact on ROA at significant level (α < 0.05)

A study of waffle snacks with chia seeds was aimed at studying the basic recipe of waffle snacks. And to study the appropriate amount of chia seeds added in waffle snacks. The appropriate content of chia seeds added to The four levels were 0 2 3 and 4 percent of the total weight of the ingredients. By using the method of randomized complete block design or RCBD. This RCBD experimental plan will help assess the sensory quality in appearance (fluffy) color smell texture (Soft) and overall preference By using “9-Point Hedonic Scale” method experimental study used 80 people to test the flavor consist of lecturers and foods and nutrition students Faculty of Home Economics Technology Rajamangala University of Technology Phra Nakhon. The results were calculated the average to analysis of variance (ANOVA) and compare the mean difference at the confidence level 0.05 by using the method of least significant difference (LSD) and Duncan’s New Multiple Rang Test (DMRT) analyzing by statistical package program. From studying the appropriate amount of chia seeds in waffle snacks. 4 levels were found that the taster accepted 3 percent of the total weight of the ingredients. in appearance (fluffy) color smell texture (Soft) and overall preference liking. With an average score 8.00 7.98 7.90 7.87 8.00 and 7.95 respectively Is at the level that I like very. When analyzing variance and compare the statistical differences in appearance (fluffy) color smell texture (Soft) and overall preference liking. There was a statistically significant difference at level 0.05

This research study is Study of Current Problems Obstacles to the work of the academic faculty. To analyze the factors that affect the potential success of the work of the academic faculty. And to formulate a strategy to build the capacity to do the work of the academic faculty. Faculty of Liberal Arts Rajamangala University of Technology Phra Nakhon. The researchers mixed Quantitative and Qualitative Research Questionnaires were used to collect data from administrators faculty the Faculty of Arts. The researchers mixed Quantitative and Qualitative Research Questionnaires were used to collect data from administrators faculty the Faculty of Arts. 60 people and the depth interview interviewed individually to provide a significant number of 10 people. The data were then checked for accuracy. And data analysis and processing computer To calculate the statistical. Frequency percentage mean and standard deviation. And qualitative data Checked for accuracy by means of triangulation. And content analysis With reading comprehension The purpose was to research. The results showed that Current conditions in the academic faculty have discussed the barriers. Have success in the academic performance of 83.33. The lower third of the academic performance of 80.00. And four consultants to advise on the Academic Performance 76.67 percent. And the two taught 75.00 percent. The factors that affect the potential success of the work of the academic faculty. Overall the high level (= 4.48 SD = 0.65).The five factors that make success in academic performance. Situated at the highest level (= 4.81 SD = 0.40). The second is the time to do academic work at the highest level (= 4.79 SD = 0.47) and quality of academic performance. Situated at the highest level (= 4.64 SD = 0.52). And a consultant to advise on the Academic Performance. Situated at the highest level (= 4.56 SD = 0.80). The strategic potential of the academic performance of students. Overall the moderate level (= 3.43 SD = 1.13). The strategy should define ones executives must have a policy seriously. And to be fair to the sender academic performance. The second strategy should reduce the workload for faculty teaching and other work with. In order to have time to do academic work. Strategy three awards to supply support for the preparation of the appropriate academic achievement and extra salary. And strategies for the five should be evaluated on a fair transparent fair assessment. The main good governance in the assessment. Transparency accountability Without prejudice to rate Teachers have the opportunity to make changes to the criteria at all times. 6 and strategy should provide consultants to advise on the academic performance of each branch. The guests were delighted. And it is time to provide advice in a friendly and should be coordinated with the technical evaluation. Or monitoring academic performance in applying the criteria in the evaluation. In the same manner and justice. There are good governance.

The objective of this research was to analyze determinants of nonperforming loans (NPLs) in commercial banking industry of Thailand during 2005 and 2014. This study used quarterly secondary data from the 1st quarter 2005 to the 4th quarter 2014 totaling 40 quarters. Descriptive statistics for testing data and econometric method for analyzing equation and multiple regression analysis for testing the hypothesis were used. The results of this research showed that the nonperforming loans (NPLs) in commercial banking industry of Thailand was positively related to the size of commercial bank with a confidence level of 95%but negatively related to consumer price index and prime rate with a confidence level of 95%. Loan-to-deposit ratio gross domestic product and loan volume were not related to NPLs.