This research is studying of an electric field combine with a frying process in a Chinese water chestnut product for reducing oil absorb. An electric field that is used in an experiment will have a stress from 1-3 kV/cm. This will be generated by using a direct current high Voltage from 1066 to 3200 V. which is distributed to an electrode in an uniform and non-uniform of an electric field. This will have a dielectric barrier discharge. There is an analysis for finding a relationship of a moisture on absorbing oil of a Chinese water chestnut fried product due to a moisture has an effect on absorbing oil directly. From an experimental result this is found that the best electric field stress which will have an effect on reducing a moisture of a Chinese water chestnut is an non-uniform electric field form that is created from a direct current high voltage at 3200 V. and this will have an electric field stress at 3 kV/cm. This will have an average of a difference of a moisture at 0.6 g. This will select to use a direct current non-uniform electric field at 3 kV/cm. In an experiment combine with a fried process in a Chinese water chestnuts fried product this is done for reducing of absorbing oil. By this will fry at the temperature of 180๐C for 5 minutes. This is found that this can reduce an absorbing of oil best at 17.93% when this has compared to a Chinese water chestnuts fried that hasn’t passed an electric field.

The Chabot application aims to promote Ecotourism in Bang Phae District Ratchaburi. The application has been developed by modern information technologies such as Artificial Intelligence (AI) and Natural Language Processing (NLP) via Dialogflow program and LINE application. The application consists of three main components: User interface Entities and Fulfillment engine and Intent. A usability test was conducted to evaluate the user experience in terms of effectiveness efficiency and satisfaction with which participants perform tasks when using the application. Consequently the participants were asked to complete the survey. The result shows that the overall user satisfaction score remains high (x̅ = 3.80). However the ability to communicate effectively scored lowest (x̅ = 3.66)

The purposed of this research “Personal factors and marketing mix that affecting to decision making for choosing nursing home of senior people” was to study (1) decision making behavior of senior people for choosing nursing home (2) personal factors that affecting to decision making for choosing nursing home of senior people. The samples of this study were 400 of senior people who live in Bangkok and provinces nearby. The questionnaires were implemented as the tool for data collection. The statistics methods were used for analyzing data; Percentage Mean Standard Deviation T-Test and One-way ANOVA. The results were found that: Most of samples are women marriages age 60-65 years old finished primary schools retirees revenue between 10000 - 20000 baht. They want to stay at their own home and need helpers when they get older and can’t help themselves. They believe they can support their housing expenditure in between 2000 – 10000 baht. They like making merit being independent and simple life. Their opinions about marketing mix; (1) Product they concern about security system in accordance with intentional standard. (2) Price they prefer offering several price level. (3) Place nursing home should located nearby hospitals. (4) Promotion they concern about clear information and housing tour. (5) People or Employee nursing home should have doctors nurses and specialists. (6)

The study on relationship between lifestyle patterns and event marketing models of the elderly’s activity in Bangkok was aimed to explore the lifestyle patterns of the elderly marketing model of the elderly and the relationship between the lifestyle and the marketing model of the elderly’ activity in Bangkok Metropolis. The statistics used in the data analysis were descriptive statistics including mean percentage and Standard deviation Inferential statistics and multiple regression analysis. The research tool used to collect data was a questionnaire applied on a group of sample consisting of 200 people selected through non - probability sampling in Lak Si Thung Song Hong District Bangkok. Results of the study regarding personal factors of the elderly revealed that most of them were married males aged 60-70 years old without bachelors degrees earning average monthly income 5000-10000 baht mainly from their work savings and currently unemployed. The results of the study of the elderly’s lifestyles of the sample group showed that they mostly participated in social activities exercises hobbies and tourism activities respectively. The results of the event marketing model of the elderly also revealed that the sample needed marketing mix and most activities were to be more personal. Moreover the promotion should be made on the location marketing process cost and activities respectively. The hypothesis testing revealed that the lifestyles social activities and tourism activities were related to the event marketing of the elderly in Bangkok.

This project aims to create the model of fire protection system for the kitchen. The model installed of protection and notification systems was created by using the Google SketchUp program with a ratio of 1:10 from the real kitchen scale. According to the literature it was found that more than 50 % of the fire within the shelter occurred in a kitchen. The main causes are flame heat sparks and electrical equipment. The system was developed to detect flame gas and smoke by using infrared sensor (IR FLAME) and gas detection device (MQ-2). Arduino MEGA2560 is a central processor to control the device of the protection system. Node MCU is a data receiver with Arduino to display the average amount of gas flame through the Blynk application in real time and send notification via the Line application when the amount of either flame gas or smoke is greater than or equal to the specified quantity. Fire protection system is divided into 3 conditions: fire gas and smoke. In case of fire the sprinkler will be activated with class K extinguishers to extinguish fire. In gas leakage conditions ventilator will be activated to ventilate the gas leaks and the gas supply is cut off. For smoke condition the ventilator will be activated to ventilate the smoke out of the kitchen. The results of the experiment by using the method of dividing into 13 simulations in total. The system can detect the flame with 12 points 92% from 13 points. In case of gas a can of gas was used in all tests. Nine points of gas can detect with 69% of the total 13 points. The smoke detector can capture smoke with a large amount of smoke. There are a total of 13 tests that can capture 11 smoke points representing 84% of all 13 points.