This research aims to investigate the adulteration of Khao Dawk Mali 105 rice based on storage age using Near-Infrared Spectroscopy (NIRS) with Fourier Transform Near-Infrared Spectroscopy (FT-NIR) in the wavenumber range of 12,500 – 4,000 cm-1 (800 – 2,500 nm). Storage duration significantly impacts the quality of cooked rice. This research is divided into two parts: 1) to investigate the feasibility of separating rice according to storage age (1, 2, and 3 years) using the best model created by an Ensemble method combined with Second Derivative, which achieved an accuracy of 96.3%. 2) To investigate adulteration based on storage age by adulterating at 0% (all 2- and 3-year-old rice), 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, and 100% (all 1-year-old rice). The best model was created using Gaussian Process Regression (GPR) combined with Smoothing + Multiplicative Scatter Correction (MSC), with coefficients of determination (r²), root mean square error of prediction (RMSEP), bias, and prediction ability (RPD) values of 0.92, 8.6%, 0.9%, and 3.6 respectively. This demonstrates that the adulteration model can be applied to separate rice by storage age (1, 2, and 3 years). Additionally, the color values of rice with different storage ages show differences in L* and b* values.
โรงงานผู้ผลิตข้าวพบปัญหาการปลอมปนของข้าวสารที่มีอายุการเก็บรักษาต่างกัน โดยทั่วไปการคัดแยกการปลอมปนจะใช้วิธีมาตรฐานโดยการหุงข้าว จากนั้นนำข้าวหุงสุกไปวัดเนื้อสัมผัสเพื่อแยกอายุของข้าว ซึ่งใช้เวลาและเป็นการทำลายตัวอย่างและเกิดความล่าช้าในการตรวจสอบคุณภาพข้าวสาร งานวิจัยนี้ใช้เทคนิคเนียร์อินฟราเรดสเปกโทรสโกปี (Near-Infrared Spectroscopy, NIRS) ในการตรวจสอบการปลอมปนของข้าวสารพันธุ์ขาวดอกมะลิ 105 (KDML 105) ที่อายุการเก็บรักษาต่างกันเพื่อแก้ไขปัญหาดังกล่าว
คณะวิศวกรรมศาสตร์
The project uses artificial intelligence (AI) and deep learning to develop a smart police system (Smart Police) to analyze the identity of individuals and vehicles suspected of involvement in crimes. The system uses CCTV cameras to detect people with concealed weapons and track vehicles involved in crimes. The system also sends alerts to the police when a crime is detected. The Smart Police system is a collaboration between the Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, the Provincial Police Region 2, the Chachoengsao Foundation for Development, and the Smart City Office of Chachoengsao Province. The system is designed to prevent and deter crime, increase public safety and order, and build a network of cooperation between the government, the private sector, and the community. The system is currently under development, but it has the potential to be a valuable tool for law enforcement. The system could help to reduce crime and improve public safety in Chachoengsao Province and other parts of Thailand.
คณะครุศาสตร์อุตสาหกรรมและเทคโนโลยี
This research confirms the potential of bamboo fiber as a sustainable raw material for the textile industry, demonstrating exceptional properties that meet both functional requirements and environmental friendliness. The study focuses on integrating sustainability concepts with material innovation, encompassing fiber property analysis, production process development, and product design. The research objectives were to: 1) develop the properties of bamboo fiber for production; 2) study factors in designing environmentally friendly textile products from bamboo fiber; and 3) forecast future prospects for environmentally friendly textile product design using bamboo fiber. The findings revealed that 60-day-old bamboo possessed optimal properties for fiber separation, with an average fiber size of 5.32 μm, smaller than other natural fibers, resulting in superior moisture absorption and ventilation properties. When blended with recycled polyester fiber in a 30:70 ratio, the yarn exhibited strength and unique tactile characteristics. Although the antibacterial properties against Staphylococcus aureus were low, the fibers demonstrated excellent whiteness and softness. Factor analysis identified four key components in product design: Local Materials, Green Products, Healthy, and Sustainability. Consumer satisfaction evaluation of the prototype products showed high levels of acceptance, with the model explaining 84.7% of consumer satisfaction. The developed production process reduced chemical usage and hazardous waste. Furthermore, utilizing fast-growing bamboo minimized long-term environmental impact, contributing to sustainable development in Thailand's rural communities across economic, environmental, and occupational stability dimensions. The research demonstrates that developing bamboo fiber blended with recycled polyester creates sustainable products that meet consumer demands for health consciousness, local material utilization, and green product promotion. Commercial implementation of these products can enhance economic value and promote environmentally friendly product development in the future.
คณะครุศาสตร์อุตสาหกรรมและเทคโนโลยี
This study aims to develop a board game on mushrooms production with cooperative learning and to examine its effects on the learning achievement of third-year vocational certificate students in the mushroom production course. The research instruments included a board game designed using the Educational Boardgame Design Canvas framework, comprising 60 cards (7 main cards, 24 secondary cards, and 29 additional cards). The board game was implemented alongside the Learning Together (LT) cooperative learning approach, following the ASSURE Model for instructional media design. Pre- and post-tests, along with a satisfaction questionnaire, were used to assess student performance and engagement. The findings revealed a statistically significant improvement at the .05 level in students' learning achievement before and after using the board game. At Ratchaburi College of Agriculture and Technology, the post-test mean score was 16.00, compared to a pre-test mean score of 12.50. Student satisfaction with the learning approach was at the highest level, with an average satisfaction score of 4.69. To further refine and expand the study, the board game was also implemented at the Uthai Thani College of Agriculture and Technology, where similar improvements were observed. The post-test mean score increased to 11.21, compared to a pre-test mean score of 7.48, confirming the research hypothesis. Student satisfaction at Uthai Thani College of Agriculture and Technology was also high, with an average satisfaction score of 4.39. These results suggest that integrating board games with cooperative learning effectively enhances student achievement and engagement in agricultural education.