This research aimed to develop the mixed tea from longan peels and seeds. Population studied were longan farmers who planted longan and preserved the longan product in Ampur Wang Nam Yen, Sa Kaeo Province. From the results, it was found that from By-product in the production of dehydrated longan, longan peels and seeds, which can be processed into ready-to-drink powdered tea. This not only helps reduce waste from the production process but also contributes to generating additional income from these by-products.
จากการได้เข้าไปศึกษาดูงานที่ ชุมชนเกษตรกรผู้ปลูกลำไย อำเภอวังน้ำเย็น จังหวัดสระแก้ว ได้พบปัญหาคือราคาลำไยตกต่ำ ขายแล้วขาดทุน ส่งผลให้เกษตรกรได้แก้ปัญหา ด้วยการนำลำไยไปทำลำไยอบแห้ง ซึ่งจากกระบวนการผลิตลำไยอบแห้ง จะมีผลิตภัณฑ์ผลพลอยได้คือเปลือกและเมล็ดลำไย ซึ่งสามารถนำมาแปรรูปเป็นชาผงสำเร็จรูปพร้อมดื่มได้
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.
คณะวิทยาศาสตร์
With the development of space technology, wide-field sky surveys using telescopes have expanded the range of new data available for time-domain astronomical research. Traditional data analysis methods can no longer respond quickly and accurately enough to the growing volume of data. Thus, classifying time-series data, such as light curves, has become a significant challenge in the era of big data. In modern times, analyzing light curves has become essential for using machine learning techniques to handle and filter through massive amounts of data. Machine learning algorithms can be divided into two categories: shallow learning and deep learning. Numerous researchers have proposed and developed a variety of algorithms for light curve classification. In this study, we experimented with Support Vector Machine (SVM) and XGBoost, which are shallow machine learning algorithms, as well as 1D-CNN and Long Short-Term Memory (LSTM), which are deep learning algorithms, which are branches of deep machine learning, to classify variable stars. The training and testing data used in this study were from the Optical Gravitational Lensing Experiment-III (OGLE-III), consisting of variable star data from the Large Magellanic Cloud (LMC), categorized into five main classes: Classical Cepheids, δ Scutis, eclipsing binaries, RR Lyrae stars, and Long-period variables. The results demonstrate the performance analysis of each machine learning algorithm type applied to light curve data, while also highlighting the accuracy and statistical metrics of the algorithms used in the experiments.
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.