The surveillance and reports on accidents for the current traffic management are carried out by viewing and inspecting CCTV footage. This method is slow to detect incidents and requires a lot of manpower. Since nowadays communication technology and social media play a role in reporting such incidents this research has been conducted to investigate accidents of interest from text messages reported on social media in Thai. There is currently no research or platform that supports this type of work clearly. This research presented the development of a neuron network memory-learning model to solve the problem of incidence pattern classification and incidence severity identification from social media messages in Thai. Using deep learning models such as MLP CNN Bi-LSTM and LSTM+CNN the study was designed and divided into three experimental patterns. This included examining patterns to identify traffic incidents that may be reported as general news or traffic reporting; examining patterns to indicate the type of incidents such as traffic accidents disasters damaged roads or others other than those mentioned; and examining patterns to specify the severity levels of the incidents such as normal intermediate traffic lane blocking or immovable. The experiments demonstrated the capability of CNN+LSTM learning models with the best incidence detection result at 93.44 %. The CNN model gave the best result in identifying a pattern of incidence at 85.29 % and the LSTM model was best able to determine the severity levels of the incidence at 88.53 %.

The objectives of the study were 1) To Study Related Demography to Dietary Supplement Product Certified by the Food and Drug Administration (FDA) 2) To Study Related Demography to Marketing Communication Tool for Social Media 3) To Study Related Marketing Communication Tool for Social Media to Dietary Supplement Product Certified by the Food and Drug Administration (FDA). The study was a quantitative research. A sample was selected from people who bought Dietary Supplement Product Certified by the Food and Drug Administration (FDA). The sample group was 400 graduation. Representative sample the instruments in the study were 1) the questionnaire 2) the frequency percentage and mean were the parameters used for statistical analysis and Chi-square Correlation. The findings indicated that single females age between 19 - 29 years old. Monthly income between 10000 – 20000 baht. Objectives of using social media To Communicate through Facebook. Social media exposure time is 1.00 - 6.59 PM. Convenience is the reason for buying Dietary Supplement Product through social media. And Find Dietary Supplement Product through social media information manually. The hypothesis test was found Factors of Age Education Career Objectives of social media Duration of use Social Media Marketing Communication Tool for Social Media correlated to Dietary Supplement Product Certified by the Food and Drug Administration (FDA) and Factors of Sex Age Career correlated to Marketing Communication Tool for Social Media. Was statistically significant at .05 level

Museums and art galleries have utilized social media to communicate with their visitors or people who share the same interest and to improve visitors’ experience in six aspects: recreation socialization learning experience aesthetic experience participatory experience and enchanting experience. This is very important especially when the museum was temporarily closed because of damage from natural disasters. The museum has to find an alternative method to present their collections and communicate with their visitors. This paper will describe impact factors of museum visiting experience and introduce the design decision of social media application: virtual gallery item description annotations for user opinions visualization of user opinions links to users’ Facebook page and souvenir shop. ActionScripts on Facebook which is a Flash library was used for design and development. Other user interface and online social functions included check-in comment like and status post.