This paper presents the development of a low rate and low power consumption wireless sensor network. Wireless sensor networks are cheap and comprised of a small fully autonomous processing communication and sensing devices. The purpose of this study is to develop the system for monitoring and flood warning. They will work with wireless sensor network (WSN) system. WSN has been restricted power supply communication distance and low computing power. But they will work with network in vast area send and receive raw data from each sensor node. It has the ability to cooperatively collect data and retransmit in order to process or alert. The first step of the experiment is creating main node and sub node in flooding area and finds transmission of data between them. When sensor node is not receiving or transmitting data the module can be switched into the sleep mode low power consumption mode

The paper presents a development of monitoring system for a prototype wind turbine system. The proposed monitoring system is developed under Labview environment. The system can connect to the wind turbine online via internet. The system will collect the monitored values and install values into memory. Simultaneously the system can show the values in Real-Time. The operator can observe the wind turbine by the monitoring system and can take an action on time if the wind turbine is not working properly. The results of the monitoring system indicate that the monitoring system is be able to working properly the data can be used to investigate the wind turbine for system analysis. This is very important for wind turbine in order to supply energy to consumer stably.

This paper presents the development of a low rate wireless sensor. Wireless sensor networks are cheap and comprised of a small fully autonomous processing communication and sensing devices. The purpose of this study is to develop the system for monitoring and flood warning. They will work with wireless sensor network (WSN) system. WSN has been restricted power supply communication distance and low computing power. But they will work with network in vast area send and receive raw data from each sensor node. It has the ability to cooperatively collect data and retransmit in order to process or alert. The first step of the experiment is creating main node and sub node in flooding area and finds transmission of data between them.

The objective of this research is to study the companies listed on the Stock Exchange of Thailand Property and Construction Group on the relationship between corporate governance; namely the percentage of shares held by executives proportion of independent directors size of the board of directors management responsibilities of the chairman and the proportion of attendance at board meetings and 1) the operating result i.e. the return on total assets return on equity return on sales and earnings per share and 2) tax planning including the ratio of tax expenses to accounting profits before income tax and tax rate per total asset. The secondary data collected from the financial statements and the registration statement (Form 56-1) from year 2014 to 2018 in total of 71 companies is analyzed using descriptive statistics including mean and standard deviation and inferential statistics such as correlation analysis and multiple regression analysis. The research results showed that corporate governance including the shareholding percentage held by management management responsibilities of the chairman and the proportion of attendance at the Board meetings has a positive relationship with tax planning (Tax rate to total assets) with statistical significance at the level of 0.01 and 0.05. There is also a positive relationship between the operating results including the return on total assets and tax planning (Tax rate to total assets) with statistical significance of 0.01.

Thesis was studied and designed to merge IoT (Internet of Thing) in agricultural technology. By the IoT technology used the sensor and transducer technology to record parameters for monitoring automatically many orchard. The data will show on your smart phone. We can see temperature pressure of water supply system level of water in pond this article was studied and designed to merge the IoT technology in agricultural technology. By the IoT used the sensor and transducer technology to record parameters for monitoring automatically many orchard. The data will show on your smart phone. You can see temperature pressure of water supply system level of water in pond and signal integrate to transmit data by network internet for any user can monitor from anywhere and all time. The result shown that the water control system can work actually as condition of controller and can transmit by network internet in real time.