This article presents a five-level three-phase cascaded H-bridge inverter for renewable energy applications, aimed at reducing total harmonic distortion (THD) and enhancing efficiency. The inverter uses a digital signal processing board, TMS320F28335, to generate pulse-width modulation signals through MATLAB/Simulink, ensuring precise control. The experimental setup includes an 84 VDC input voltage and a 300-watt load. Simulation and experimental results closely align, validating the accuracy of the simulation model. The output voltage shows a stepped pattern characteristic of multilevel inverters, significantly reducing harmonic distortion. THD analysis reveals a substantial reduction at higher modulation indices, with particularly low THD at a modulation index of 0.95. Consistent THD levels across modulation indices of 0.5, 0.8, and 0.95 demonstrate robust performance under varying conditions. Comparative analysis indicates that the proposed inverter achieves lower THD levels than traditional inverters, enhancing power quality and system efficiency. The five-level three-phase cascaded H-bridge inverter offers a promising solution for renewable energy applications by significantly reducing THD and improving power quality. Its robust performance and scalability potential contribute valuable advancements to renewable energy systems.

This research focuses on developing a system to reduce greenhouse gas emissions in internal combustion vehicle engines using electrolyte technology and embedded programming on an electronic board via the OBI protocol. The main objectives are to create a prototype, apply it in real-world scenarios, evaluate its efficiency, and facilitate technology transfer. The system, designed to reduce greenhouse gases from vehicles, consists of a Bluetooth on-board diagnostics (OBD) scanner connected to the electronic control unit (ECU). This scanner transmits data to an embedded microcontroller through a Bluetooth module. The microcontroller, which includes software for controlling oxygen measurement and production, operates to decrease greenhouse gas emissions. The results show that the electronic device, IC ELM327, decodes OBD into RS232, processes the oxygen output from the exhaust pipe using embedded programming on the Arduino Uno-R3 microprocessor, and controls the oxygen production unit with electrolyte technology. The system adds 9.82% oxygen to the exhaust and reduces carbon monoxide by 21.04% and carbon dioxide by 13.86%. Additionally, the technology transfer received high satisfaction with a mean score of 4.61, indicating efficient technology dissemination.

The shrimp farming industry at a global scale has experienced noteworthy growth over time; however, it is important to note that conventional farming methods in Thailand are currently encountering various obstacles, including low yields, high production costs, and risks associated with diseases. This research explores the development and implementation of a time-controlled, mobile automatic shrimp feeding machine aimed at optimising feed distribution and enhancing the overall efficiency of shrimp farming operations. The designed system utilises an Arduino-based microcontroller to automate and precisely control feeding schedules, ensuring the delivery of an optimal amount of feed based on the shrimp‘s weight and developmental stage. Through rigorous performance assessments conducted within a sizable 15 × 20 meter shrimp pond, the results demonstrated that the automatic feeding machine achieved a feed distribution coverage of 83% of the pond area, significantly higher than the 65.33% coverage achieved through manual feeding. The machine‘s mobility further ensures even feed dispersion throughout the pond, addressing the limitations of stationary feeders. Additionally, the automation of feeding processes significantly reduces the manual labour required, thus increasing operational efficiency and reducing the potential for human error associated with traditional feeding practices.