This research is to develop a prototype of a salinity intrusion monitoring system using fuzzy logic to extract salinity values. A system is developed according to a fuzzy logic model using FAOs for appropriate agricultural water quality data considering the electrical conductivity (EC) and total dissolved solids (TDS) as indicators of the salinity value by using the Fuzzy Logic Toolbox to produce and test the generated model. Transformation of the generated models to Embedded C format using the Simulink Coder tool installed in the ARM STM32F microcontroller and a 10-fold cross-validation test was used to validate the data extraction. The Root Mean Square Error (RMSE) for the test results was 0.58175 on average. This research result indicates that the generated model is able to extract data that very closely matches the specified data.

Objectives of this study are (i) to investigate characteristics of a fuel injector and to establish the characteristic correlation for correcting the fuel injection rate calculated from the control signal of a fuel injector and (ii) to design and fabricate the fuel consumption monitoring system by measuring the control signal of fuel injector in conjunction with considering the obtained characteristic correlation to enhance accuracy of the measured fuel consumption rate. The characteristics of a fuel injector (maximum fuel injection rate of 270 cm3/min) e.g. engine speeds percentages of injector’s duty cycle and pressure differences between fuel rail and intake manifold were experimentally investigated on a test set in the laboratory. The study found that when the engine speed increased the fuel injection rate increased. When the percentages of infector’s duty cycle increased the increasing ratio was less than the one-to-one increasing ratio as a case of the ideal. Moreover when the pressure difference increased the fuel injection rate increased. After that the fuel consumption monitoring system was designed and fabricated based on the Arduino Mega 2560 microcontroller. Trip distance was measured by a GPS module. The real-time fuel consumption rate could be shown on a LCD display. All recorded data were stored onto a SD card for further data analysis. Finally the on-road-test validation was conducted by on the 2011 Mitsubishi Triton installed with the 4-cylinder gasoline engine with total displacement of 2351 cm3. It was found from that the average discrepancy of the measured fuel volume was ± 1.88% compared to the actual fuel volume obtained by measuring a decreasing volume of consumed fuel.

The objective of this research was to develop a high performance monitoring software for extended database of mobile weather station by using embedded computer. The monitoring system could measure and record temperature relative humidity wind speed and direction rainfall solar radiation and UV index. The software could convert these parameters and sent them from mobile unit to base unit within 60meters distance via 868.0MHz of radio frequency. The embedded computer was used as for database and host of the monitoring software. This software was developed by using LabVIEW with large MySQL database. The software could work perfectly. That is it could monitor and display any parameter in real time in both graphic and numerical data. It could also produce a report in correct format of research information. The Monitor system could work with the embedded computer. The mobile weather station could be used in remote areas with photovoltaic energy system and storage battery specially designed for them.

This article presents a design and development of a low rate wireless sensor network coordinator controller. Wireless sensor networks are cheap and comprised of a small fully autonomous processing communication and sensing devices. In this study develops the system for monitoring and flood warning. This research used small embedded micro controller. The system can expand into multi network and work with single processor. This design will reduce components and power assumption. The research use Propeller Chip by Parrallax Inc. This chip contains eight processors inside. All eight processors can perform tasks simultaneously or with coordination from other processors. A designed of system works together with wireless sensor networks. The first step of the experiment is creating main node and sub node in flooding area and finds transmission of data between them. Experimental results show that we can use single microcontroller work with multi-network. It can monitor result of network directly from Propeller chip by generating computer monitor signal.

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