Thailand is a country where passenger cars up to 7 people the specified cylinder capacity does not exceed 1500 CC. Most used in Bangkok which is a popular vehicle. Therefore this type of vehicle was chosen to collect data to study behavior and create a driving cycle the selection of the data collection route includes: Ratchadaphisek Road - Rama IV Road Phaholyothin Road and Rama III Road - Narathiwat Road etc. Which the road is in the business district which has a heavy traffic volume. At present there is an epidemic of Covid-19 the government therefore has measures to lockdown. It affects the traffic conditions greatly compared to the normal situation. Therefore data collection was performed on-board measurement. and grouping the time series clustering. In the part of the equipment used to store data including : KYOWA Model EDX-200A It is a highly accurate data storage device. by connecting to Global Positioning System: GPS sensor and connect to notebook The results of the data collection to create a driving cycle of 3 routes in the morning and evening (Peak time).It was found that most of the speed patterns used to create driving cycles were low speed patterns. The frequency of the speed range is close to the real driving and the speed range is in the range of 0-10 km/h. Which show that the traffic conditions on 3 routes are very dense. but driving in some parts can use speed and have the following movement patterns including : acceleration decelerationconstant speed stationary. Each route has different values.

In this research we will study an algebraic structure pseudo d-algebras. Then we give some more properties for pseudo d-ideal that can construct a quotient pseudo d-algebras. Moreover we show that the quotient pseudo d-algebras is a pseudo d-algebras.

This project aims to develop RFID reader. With the following scope can scan at least 15 cards save both entry and exit data display Welcome on the screen and add or reduce codes by yourself The test results show that the RFID scanner can scan both key cards and manually scan both in and out. The screen also shows Welcome when someone enters and shows thank you when someone shows that the developed scanner can be applied really slowly

The purposes of this research were to 1) investigate personal factors of consumers in Bangkok after the outbreak of Coronavirus 2019 (COVID-19) 2) study information awareness in the widespread Coronavirus 2019 (COVID-19) 3) find out the new normal style of consumers’ behaviors in food purchasing options in Bangkok after the Coronavirus 2019 (COVID-19) epidemic 4) study the relationship between personal factors and the new normal style of consumers’ behaviors in food purchasing options in Bangkok after the outbreak of Coronavirus 2019 (COVID-19) and 5) examine the relationship between information awareness of the Coronavirus 2019 (COVID-19) outbreak and the new normal style of consumers’ behaviors in food purchasing options in Bangkok after the Coronavirus 2019 (COVID-19) outbreak. The sample was 400 consumers in Bangkok who were selected by stratified sampling. The research instrument used in this study was the questionnaire. The statistical analysis used in this study included frequency percentage means and chi square. The results of the study were as follows: 1) for personal factors of consumers in Bangkok most of them were female (222 participants) whose ages ranged from 20-30 years old. Their education was lower than bachelors level. Their occupations were company employees/private employees with an average income from 10001 to 20000 baht per month. 2) Regarding the awareness of the Coronavirus 2019 (COVID-19) pandemic the results showed that most of the consumers received main sourcesof information from the Ministry of Public Health family members and television channel. 3) In addition to the new normal style of purchasing food options the results reported that most consumers preliminary examined their readiness health check before going out to buy or use any services. The majority of consumers selected restaurants in the department stores buying a la carte for example meat rice and curry fried chicken bakery products instant noodles frozen meats and various Thai desserts. These consumers spending money less than 500 baht bought these products by themselves and making their own decisions. 4) Personal factors including gender and education level were correlated with the new normal style of consumers’behaviors in foods purchasing option with statistically significant at the .05 level. 5) For the outbreak information sources the informants reported that the widespread Coronavirus 2019 (COVID-19) was correlated to the new normal style of consumers’ behaviors in food purchasing options with statistically significant at the .05 level.

In this work solar erythemal ultraviolet radiation (EUV) which affects human skin and skin cancer was investigated at Songkhla province (7.2°N 100.6°E). EUV was converted to UV index then the data was used for model development and forecasting of hourly UV index using Artificial Neural Network (ANN). The ANN model has one input layer two hidden layers and one output layer. This input layer consists of extraterrestrial erythemal ultraviolet radiation solar zenith angle aerosol optical depth and cloud index which affect ultraviolet radiation and the output layer is hourly UV index. The results show that hourly UV index obtained from ANN and that from the measurement are in reasonable agreement with root mean square difference of 12.8% and mean bias difference of -2.4%. For forecasting of the hourly UV index the data for 7 days earlier was used for forecasting the next UV index for one day or nine-hour (08:00 am.-16:00 pm.). Multi-layer perceptron and back propagation algorithm were used in the model forecasting. The results show that the UV index from the model forecasting is reasonable agrees with UV index from measurement with root mean square difference of 17.0% and mean bias difference of 0.3%.