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
คณะครุศาสตร์อุตสาหกรรมและเทคโนโลยี
This study aims to develop a board game for teaching Integrated Farming System and to examine the learning achievement of third-year vocational certificate students at Ratchaburi College of Agriculture and Technology who used the board game as a learning tool. The research instruments included a board game developed using the Educational Boardgame Design Canvas. The board game is a strategic planning game consisting of five game boards, and 166 cards categorized into four types: 30 event cards, 60 special action cards, 16 character cards, and 60 production cards. It also includes 180 resource tokens of six kinds: 60 water tokens, 60 soil tokens, 45 plant product tokens, 45 animal product tokens, 45 aquatic product tokens, and 45 currency tokens. Additional components include one die and five player aid sheets. The game emphasizes planning and decision-making in integrated farming to maximize production and achievement points under game conditions and simulated scenarios. Research tools also included pre-and post-tests and a satisfaction questionnaire. The results indicated that students’ average scores significantly increased at the .05 level after using the board game, with the average pre-test score at 6.54 and the post-test score rising to 17.71. Additionally, an analysis of student satisfaction with board game-based learning revealed a high level of satisfaction (mean score = 4.45). The highest-rated aspects were the teacher’s implementation of post-tests (mean score = 4.69) and the engaging and diverse teaching methods used (mean score = 4.66).
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.
คณะวิศวกรรมศาสตร์
In this project, we introduce Power Grid Analyzer (PGAz), an open-source software package based on MATLAB, specifically designed for analyzing and controlling future power grids. Initially, PGAz is equipped with four fundamental features: power flow (PF), optimal power flow (OPF), small-signal stability analysis (SSSA), and time-domain simulation (TS). At this stage, Part I concentrates on the development of PF and OPF. The formats of our developed tool are presented, along with its command prompts. In this part, we have developed several conventional yet effective methods in the PGAz package to address PF and OPF problems, including techniques such as the Newton-Raphson method, Gauss-Seidel method, Interior Point Method, Iwamoto’s method, Fast Decoupled Load Flow, Genetic Algorithm, and Particle Swarm Optimization. Additionally, it emphasizes important aspects, algorithms, and various case studies that have been tested against IEEE benchmarks ranging from the IEEE 5-bus to the IEEE 300-bus test systems. The results demonstrate the capabilities of PGAz for future educational and research applications in PF and OPF. Finally, we outline a plan for developing Part II, which will mainly focus on SSSA and TS.