This paper aims to present a basic experimental microcontroller board for use in teaching the microcontroller and programming. Researchers have designed a microcontroller experiment board is cheap easy to carry easy to use. To enable the students to learn programming quickly without having to worry about the hardware. Banana Board supports the basic knowledge necessary to practice the programming of up to 22 topics. It can learn programming from basic to applied work. The connection can be done through a personal computer or connect the board to communicate

Electronic load is an importance part of power supplies testing system. For non-electronic load type it is required to replace a resister with a new one leading to complicated working procedure. The modern power electronic technology is employ to solve this problem. The electronic load can vary the value following user command. Imported electronic load is costly leading Thailand to have a balance of trade deficit. This article proposes design and implement of an economical cost 30V 1 k DC-Electronic Load controlled by Microcontroller. The tested results can confirm the validity of this proposed electronic load

This paper presents the application of MATS Algorithm that used to find optimum membership function shapes for a fuzzy logic controller and used to find optimum limit range of a compensate reference current amplitude. This amplitude used to create three-phase compensate reference current signals that compare with three-phase compensate real current signals at hysteresis band current controller (HBCC) to generate gate drive signals of a FL-APF. The FL-APF delivers reactive power to point of common coupling and reduce harmonics components of all supply currents. The MATS evolution mechanisms were found optimum membership functions for fuzzy logic controller. The simulation results after setting optimum parameters were found that the fuzzy logic controller control active power filter to compensate reactive power at the point of common coupling and limit source currents THD to 5% in range and complied with IEEE 519 standard

This paper is a presentation of the Load-Frequency Control (LFC) of Interconnected Power System by using Fuzzy Logic and Artificial Neural Network (ANN) Controller. The both of controller have been widely applied for handling the system control of Industries and Engineering. Since the Load-Frequency behaviors of power system of uncontrolled and PI- Controller or Fuzzy Logic Controller (FLC) wanted to the stability at first of energize and load in a short time. The control system and controller then be significant for to go forward reform stability of interconnected energize power system a short time. In this research we have the Load-Frequency Controller of Interconnected Power System by using Artificial Neural Network Controller the improved can compared with conventional Fuzzy Logic Controller at power total 47.55 MW and load changing of power plan No.3 is 0.02 p.u. (1.75 MW)

Soybeans are a crop that can be utilized especially in terms of food rich in protein and fat as the human and animal needs. For using the soybeans must be processed to obtain the desired physical characteristics. The process is mostly a grinding and extraction. However these two processes are completely different applications. This research aims to study and create the soybeans grinder machine become to flour the quantity of grinding the variable that affect to the amount of grinding and economic analysis for guiding to investment. The researchers have designed the grinder unit by the coarse grinding and mill grinding unit. For the coarse grinding unit is similar to a disc and in case of grinding mill will be used the roller set. Base on the power train of bolt grinding unit the electric motor with 2 HP. at 1450 RPM are used for the experiment. For the grinding mil process the rough material is feed into grinding mil chamber for reduce the size of material become to the flour. The results of the research found that the suitable speed of the coarse grinding and mill grinding unit was 480 and 725 RPM respectively. In case of these relationships the average quantity of grinding for the coarse grinding and mill grinding unit was 271.8 and 150 kglhr respectively. Furthermore the results of experiment discover the materials that are not accounted of the coarse grinding for 13.9 percent. For the economic analysis for guiding to investment found that the breakeven point and pay-back period was 110378 kg and 0.0067 year respectively.