Banana Blossom Chips is a healthy snack rich in dietary fiber, antioxidants, and plant-based protein. It is a result of combining local Thai ingredients: banana blossoms, which are high in dietary fiber and antioxidants, chickpea flour, a source of plant-based protein, and red jasmine brown rice, which has a low GI value and high antioxidants. It is processed to create crispiness and a unique shape, reduces fat, is gluten-free, and helps maintain nutritional value. Therefore, it is a new alternative for health-conscious consumers and adds value to Thai agricultural products.
เป็นผลงานการพัฒนาผลิตภัณฑ์ของนักศึกษาคณะอุตสาหกรรมอาหาร ที่ได้รับรางวัลรองชนะเลิศอันดับ 2 ในการประกวดนวัตกรรมผลิตภัณฑ์อาหารและเครื่องดื่ม Conovative Award 2024 ครั้งที่ 4 โดย บริษัท ไทยโคโคนัท จำกัด (มหาชน)
คณะวิศวกรรมศาสตร์
The designing of mosquitoes counting system instrument is presented in this work. The mosquitoes that were counted died in order not to measure duplicate counting data. As soon as the input source counting machine can detect the mosquito, the single trigger signal is transmitted to the IOT system to interrupt the server immediately. The number of real mosquito is not transmitting to the IOT but only a signal to interrupt the server. The server records the number of the interrupt signal with real-time clock. Then the interrupt information will be further handled. The front end counting machine consist of the high voltage generate with the suitable voltage value and electrode distance for the required mosquitoes size. The low trigger pulse signals of the mosquitoes killed by high voltage are sending to the controller unit. Immediately, interrupt counting signal of the number of mosquitoes is sent to the big stream data collection on IOT system by the time stamp technique. Form the measurement results, 10 live sample mosquitoes in a limited space box to fly though the counting machine show that the count results are 100% correct count.
คณะวิศวกรรมศาสตร์
Currently, lithium batteries are widely used in electronic devices and electric vehicles, making the estimation of their State of Health (SOH) crucial. Accurate SOH estimation helps extend battery lifespan, reduce maintenance costs, and prevent safety issues such as overheating or explosions. This project aims to study and analyze mathematical models of batteries and develop SOH estimation techniques using Neural Networks to enhance accuracy and evaluation speed. The experiment involved collecting charge and discharge data from three lithium battery cells under controlled temperature conditions while maintaining a constant current. The current, voltage, and time data were recorded and analyzed to determine the battery capacity for each cycle. These data were then used to train a Neural Network model. The results demonstrated an effective method for predicting battery health status. The outcomes of this project can contribute to the development of a Battery Management System (BMS) that improves battery efficiency and longevity. Additionally, it provides a foundation for applying artificial intelligence techniques in the energy sector effectively.
คณะเทคโนโลยีการเกษตร
This research aimed to (1) analyze the problems and needs in designing labels for catfish strip products of the Lam Sai Phatthana Community Enterprise Group, (2) develop the labels for catfish strip products, and (3) evaluate the satisfaction levels of consumers and community group members with the developed labels. The study involved 17 members of the community enterprise group and 151 consumers. Research methods included in-depth interviews and questionnaires to gather satisfaction data. The results showed that the newly developed product labels were effective in attracting attention and building trust in the product. The satisfaction levels among the Lam Sai Phatthana Community Enterprise Group members and consumers were high (x ̅= 4.17 and 3.75, respectively).