This research presents a bamboo chopsticks machine with automatic control system. The production of bamboo chopsticks the current will be cut to get the machine to enter the bamboo chopsticks using the machine. The machine will hammer bamboo rotation of the electric motor. The AC motors with high power. Currently the production of chopsticks mostly small businesses. Lower costs which resulted in lack of effective security. This research presents the design and techniques with bamboo chopsticks production automation. The objective is to make the production of bamboo chopsticks are secure and compliant. To increase productivity and reduce the danger of the machine. In designing the Arduino technology is used in the development of electronic prototypes designed to be user for both hardware and software advanced application control equipment used in the production of chopsticks for safe to use on the incidence of danger from the use.

Over the past decade eye-tracking technology can help people all over the world access computers through systems that use gaze control. For people with disabilities this technology is a gateway to communication personal expression and inclusion in society. Eye-tracking technology advance has been transferred to the educational area and now the use of interacting with the multimedia materials and resources in the classroom. The objectives of this research are threefold. The first study presented the development of a low-cost eye-tracking device based on video-oculography. The second study examined various factors in which eye movements can be systematically measured to design appropriate of usability in computer-assisted instruction (CAI). The third study created and determine the efficiency of computer-assisted instruction interactive with eyes lesson on knowledge of ASEAN in elementary education for a student with disabled hand control. This research has looked at three design parameters of the dwell-time click alternative interactive button size and placement of the button which suitable for eye tracking interfaces. The evaluation carried out an experiment to compare performance with five students with a disability. Results showed that a combination of big buttons and short dwell-times are most suited for maximizing accuracy and ease of use. Furthermore the efficiency of computer-assisted instruction is 70.0/71.5 and the user’s satisfaction with CAI were at the high level ( =4.27 S.D. 0.79). Consequently eye tracking technology is a great tool to interaction in computer-assisted instruction for Thai students with a disability. x

This research presents the simulation of a three-phase generator. The aim is to study and analyze the condition of the generator functions. By simulating the operation of the generator used in factory which use this generator as a backup power source to replace primary power source of electricity-supplier. In this test can start or stop the generator to determine the parameters at that time. The generator is used when the main electrical power distribution error and the generator is disabled when electric power system of electricity-supplier back to normal.

Metaheuristic optimization approach has become the new framework for control synthesis. The main purposed of the control design are input (command) tracking and load (disturbance) regulating. This research proposes an optimal proportional-derivative (PID) controller design for the brushless dc (BLDC) motor speed control system with input tracking and load regulating constrained optimization by using the cuckoo search (CuS) one of the most efficient population-based metaheuristic optimization techniques. The sum-squared error between population-based metaheuristic optimization techniques. The sum-squared error between the referent input and the controlled output is set as the objective function to be minimized. The rise time the maximum overshoot settling time and steady-state error are set as inequality constraints for tracking purpose while the regulating time and the maximum overshoot of load regulation are set as inequality constraints for regulating purpose. Results obtained by the CuS will be compared with those obtained by the particle swarm optimization (PSO) and genetic algorithm (GA). From simulation results it was found that the parameters of CuS were optimal than both PSO and GA for BLDC motor speed control system satisfying the preset input tracking and load regulating constraints. In addition the simulation results are confirmed by the experimental ones from the BLDC motor speed control system developed in the laboratory.

This abstract discussed the implementation of speech recognition applications to control the on-off electrical device of speech. The work is divided into two modes. Offline mode and online mode. To use voice commands to turn on-off electrical device. Which the words sound as a statement. The speech sounds in offline mode is saved in SOPARE voice and speech mode are saved online in Google Assistant via the microphone. Then process the Raspberry pi 3 board to send data to the wireless transceiver module to control the power on-off. From testing the control system for opening and closing electrical devices with sound it was found that the sound test in the offline mode of the power-on-off control system with sound the accuracy of 96 percent of the voice command and the accuracy of the lamp according to the voice command spoken 100 percent accuracy. Sound tests in the online mode of the power-on-off control system with sound the accuracy of 8 7 percent voice commands and the accuracy of the lamp according to the voice command spoken 100 percent accuracy. The power-on-off control system with sound. Can be used to effectively control the opening and closing of electrical equipment. Only the user speaks the voice commands as needed and can immediately turn on-off the electrical equipment. Helps reduce steps and shorten the time of use making it more convenient