Stirling engine is the external heated engine that heat is sup-plied externally to the heater part of the engine. Thus, Stirling cycle engine can be employed with various sources of renewable energy such as biomass, biofuel, solar energy, geothermal energy, recovery heat, and waste. The integration of gasifier, burner, and heat engine as a power system offers more fuel choices of each local area with potential resources resulting independent from shortage and cost fluctuation of fossil fuel. This research aims to investigate the integration of the Stirling engine with a wood pellet gasifier for electric power generation. Biomass can be controlled to have continuously combustion with ultra-low toxic emission. Stirling engine, therefore, is a promising alternative in small-scale-electricity production. Even though many biomass-powered Stirling engines were successfully constructed and marketed but these engines and the use of biomass resources as fuel for power generation are quite new concepts in some developing countries. Especially, the capital cost of this engine is high and unaffordable for installation compared to other power systems. Therefore, this research aims to the study attractive and feasibility of the compact Stirling engine with green energy.
เนื่องจากความต้องการพลังงานที่มีมากขึ้น แต่เชื้อเพลิงฟอสซิลซึ่งเป็นแหล่งพลังงานหลักมีอยู่อย่างจำกัดและเป็นสาเหตุหนึ่งของมลพิษและภาวะโลกร้อน ดังนั้นพลังงานทางเลือกจึงเป็นกุญแจสำคัญเพื่อความยั่งยืนด้านพลังงาน ประเทศไทยมีศักยภาพของพลังงานชีวมวลจากเกษตรกรรม ดังนั้นการพัฒนาระบบผลิตไฟฟ้าที่มลพิษต่ำและสามารถใช้ได้กับแหล่งพลังงานทดแทนจึงจำเป็นอย่างยิ่ง โดยเฉพาะเครื่องยนต์สเตอร์ลิงซึ่งมีโครงสร้างชิ้นส่วนไม่ซับซ้อน ปราศจากการสันดาปภายในเครื่องยนต์จึงเป็นเครื่องยนต์ที่มีศักยภาพผลิตไฟฟ้าด้วยพลังงานสะอาดและเป็นมิตรกับสิ่งแวดล้อมและความสำเร็จของโรงไฟฟ้าเครื่องยนต์สเตอร์ลิง ในประเทศไทย เพื่อคนไทย
คณะวิศวกรรมศาสตร์
The Thai Sign Language Generation System aims to create a comprehensive 3D modeling and animation platform that translates Thai sentences into dynamic and accurate representations of Thai Sign Language (TSL) gestures. This project enhances communication for the Thai deaf community by leveraging a landmark-based approach using a Vector Quantized Variational Autoencoder (VQVAE) and a Large Language Model (LLM) for sign language generation. The system first trains a VQVAE encoder using landmark data extracted from sign videos, allowing it to learn compact latent representations of TSL gestures. These encoded representations are then used to generate additional landmark-based sign sequences, effectively expanding the training dataset using the BigSign ThaiPBS dataset. Once the dataset is augmented, an LLM is trained to output accurate landmark sequences from Thai text inputs, which are then used to animate a 3D model in Blender, ensuring fluid and natural TSL gestures. The project is implemented using Python, incorporating MediaPipe for landmark extraction, OpenCV for real-time image processing, and Blender’s Python API for 3D animation. By integrating AI, VQVAE-based encoding, and LLM-driven landmark generation, this system aspires to bridge the communication gap between written Thai text and expressive TSL gestures, providing the Thai deaf community with an interactive, real-time sign language animation platform.
คณะเทคโนโลยีการเกษตร
In the present day, interest in health and the consumption of chemical-free food has been steadily increasing, particularly in homegrown produce such as Phoenix oyster mushrooms (Pleurotus pulmonarius), which are highly nutritious and suitable for weight control. However, small-scale mushroom cultivation often faces challenges related to unsuitable environmental conditions, such as unstable temperature and humidity, which affect the growth and quality of the mushrooms. The development of an automatic temperature and humidity control system plays a crucial role in addressing these issues by utilizing sensor technology to monitor and adjust environmental conditions with precision. This helps enhance production efficiency, reduce human errors in manual control, and promote safe food production at the household level. Additionally, it helps lower production costs and supports the concept of sustainable living. The adoption of this technology is considered an important innovation in improving the quality of mushroom cultivation and increasing sustainability in food production.
คณะเทคโนโลยีการเกษตร
Mangosteen peel (Garcinia mangostana Linn.) extract using hot water (MPE) has been shown to have antibacterial potential in freshwater sea bass (Lates calcarifer) larvae infected with Aeromonas hydrophila. In vitro studies showed that MPE has a minimum inhibitory concentration (MIC) of 25 ppm and a minimum bactericidal concentration (MBC) of 25 ppm. In vivo, sea bass larvae were immersed in various concentrations of MPE at 0 ppm (control), 20 ppm, 40 ppm and 60 ppm, respectively, for 7 days with A. hydrophila. The results showed that the MPE-treated group had a higher survival rate compared to the control group. Hematological parameters showed that the MPE-treated group had significantly increased red blood cell (RBC), white blood cell (WBC) and hemoglobin (Hb) concentrations compared to the control group. In addition, the water quality parameters were not significantly different, except for ammonia concentration, with MPE having an ammonia concentration of 60 ppm being the lowest. All results can indicate that MPE can improve the antibacterial potential and the culture potential of sea bass larvae.