This project presents the development of wearable device for logging cow behavior using IoT technology. This project aims to develop the device that can collect the cow’s behavior and to identify the current position of cow. The accelerometer and ultrasonic sensors are used to measure walking behavior and sitting behavior respectively. The current position of cow is measured by GPS module. The measured data will be shown and stored in IoT platform. According to the experiments the developed systems can measure the behavior properly with human acting as a cow. Moreover the developed system can show the current position of the cow and message when the cow is out of area. In the future it is planned to implement the developed system with the actual cow in real situation

This project proposes a simulation model of intelligent parking system that has the ability to search for vacancies in the building or parking through mobile phones using voice command. The purpose of this project is to be convenient and quick in searching for parking spaces and to count the number of car entering park area each day. The developed system uses the NodeMCU ESP8266 microcontroller to detect the vacancy status and count the number of users of the parking lot using infrared and ultrasonic sensors. The collected data will be sent to Firebase database. For voice command system it is developed by using Dialogflow to create ChatBot and connect with the Google Assistant. Users can interact using voice to search the vacancy in parking area directly. From the experiment it is found that the developed parking lot system can display the vacancies correctly. When increasing the number of cars into the parking lot the system can display the status that has changed correctly. Moreover when inquiring for parking the system can find the nearest vacancy for user. In the future there are plans to develop additional equipment and implement the proposed system in real locations.

This research was the application of Unmanned Arial Vehicle (drones) in conjunction with remote sensing technology to monitor the occurrence of the waste dump site fire. The research began with designing and developing prototype tools to collect data from the field site. After the tools were tested they were used to measure gases from the dumping sites. After that the field observation was performed in Nonthaburi Province Pathum Thani Province and Pha Nakhon Si Ayuthaya Province. The final step of the research was to collect the data of active fire hot spot and image from MODIS system satellite covered the area of Nonthaburi Province Pathum Thani Province Pha Nakhon Si Ayuthaya Province and Samut Prakan Province in the period of 1 November 2017 to 31 October 2018. The result showed that the developed drone and the prototype gas detection units worked as designed. The result of gases measurement by the tools were similar to the references equipment. The field observation showed that the dumping site mainly composted of plastic organic matter and cotton which up to 74.9 percent in total. This indicated the factor that influenced the dump site gas generation. Based on the combination technique in the research it could be concluded that Drone and Remote sensing technology were the compromised technology for monitoring fire from the municipal solid waste dump site area.

The pomelo peels charcoal was successfully prepared by traditional charcoal burning and its adsorption of methylene blue was investigated. The influences of methylene blue adsorption including contact time and methylene blue initial concentration were studied at room temperature. The adsorption rate initially increased rapidly until 24 h and 600 mg/L of methylene blue initial concentration. The further increase in contact time and methylene blue initial concentration did not significantly increase the adsorption due to it reached equilibrium. Kinetic of adsorption were investigated that the pseudo-second order model best described adsorption kinetic data. The adsorption isotherms were evaluated and the data correlated with Langmuir adsorption model with the maximum adsorption capacity was found to be 166.67 mg/g. The adsorption of pomelo peel charcoal was studied comparing to other adsorbents at the same experimental conditions. The results showed higher adsorption of pomelo peel charcoal than dried pomelo peel longan wood charcoal coconut shell charcoal litchi wood charcoal and tamarind wood charcoal respectively.

Nowadays increasing water pollution has put significant pressure on water resources. Natural organic matter and organic micro-pollutants have been found in potentially harmful concentrations in numerous water sources. Phthalate plasticizers are also micro-pollutants of concern; Di- (2-Ethylhexyl) phthalate (DEHP) is one of the most frequently observed plasticizers in the environment as well as one of the most persistent. The maximum permissible levels of these compounds in drinking water and wastewater discharged to the environment are set at low concentrations. In this research water samples were collected from the New Bang Kaen Canal in Bangkok Thailand (13°4906.1N 100°3042.4E) which receives wastewater from human activities and contains impurities in the water. Several common treatment technologies currently used to remove inorganic and organic contaminants from natural water supplies address serious environmental problems. Properly selected microfiltration membrane processes are elements of effective systems for water purification. Polymeric membranes are of primary interest for membrane separation techniques because they are both practical and effective. However pretreatment before using a microfiltration membrane is necessary for suspended solids reduction. This research used two types of polymeric membranes namely cellulose acetate membrane (CA) and polyvinylidene difluoride membrane (PVDF) and covers the most applicable requirements regarding pretreatment of the water intake. The performance of polymeric membranes for water treatment was also investigated. The water quality of the New Bang Kaen Canal was assessed in terms of turbidity SS and COD. This research has the potential to contribute to the monitoring of water quality in the New Bang Kaen Canal. Water quality monitoring is a fundamental tool for water resources management. The performance of polymeric microfiltration membranes was effective for water and wastewater purification in terms of solids organic substances and micro-pollutant i.e. DEHP compounds. Nevertheless the further development of polymeric membranes regarding fouling on the membrane surface and within pores needs to be improved to increase membrane performance and ameliorate the limitations of microfiltration polymeric membranes.