On the path of life since we were born, we have encountered many things in life, differences and various characteristics. However, each factor of each person's life has different responsibilities, dreams, and life context differences. Everyone still has to struggle against obstacles and many burdens in life, shouldering the responsibilities of themselves and their families in order to survive. Living in different ways, with many burdens and dreams, but in real life, how many people can shoulder these burdens to reach their dreams?
ข้าพเจ้าต้องการถ่ายทอดความรู้สึกการแบกรับภาระหน้าที่ ที่ทุกคนต่างต้องประสบพบเจอกับสิ่งต่างๆที่ผ่านเข้ามาในชีวิตมากมาย ความแตกต่างหลากหลายลักษณะ คนเราล้วนมีภาระและความฝันที่อยากจะทำมากมาย แต่ความเป็นจริงนั้นเราทุกคนไม่สามารถที่จะทำได้ทุกสิ่งตามที่เราปราถนา การดิ้นรนเพื่อความอยู่รอดผ่านอุปสรรค ผ่านสิ่งเหล่านี้ไปด้วยความหวัง นำเราไปสู่เส้นทางความฝันที่เราตั้งมั่นไว้
วิทยาลัยการจัดการนวัตกรรมและอุตสาหกรรม
This study presents the development of carbon-based multiphase metal oxide nanocomposites (CNF@MOx; M = Ag, Mn, Bi, Fe) incorporating silver, manganese, bismuth, and iron nanoparticles within polyacrylonitrile (PAN)-derived carbon nanofibers. These nanocomposites were fabricated via the electrospinning technique followed by annealing in an argon atmosphere. The resulting nanofibers exhibited a uniform structure, with diameters ranging from 559 to 830 nm and embedded nanoparticles of 9-21 nm. Structural characterization confirmed the presence of various oxidation states of metal oxides, which play a crucial role in charge storage mechanisms. Electrochemical performance testing demonstrated that CNF@Ag/Mn/Bi/Fe-20 achieved the highest specific capacitance of 156 F g⁻¹ at a scan rate of 2 mV s⁻¹ and exhibited excellent cycling stability, retaining over 96% of its capacitance after 1400 charge-discharge cycles. The synergistic combination of electric double-layer capacitance and redox-based charge storage enhances the performance of these nanofibers as promising electrode materials for supercapacitor applications.
วิทยาเขตชุมพรเขตรอุดมศักดิ์
This research focuses on the design and development of a prototype Artificial Intelligence of Things (AIoT) system for monitoring and controlling irrigation using weather information. The system consists of four main components: 1) Weather Station – This component includes various sensors such as air temperature, relative humidity, wind speed, and sunlight duration, among others, to collect real-time weather data. 2) Controller Unit – This unit is equipped with machine learning algorithms or models to estimate the reference evapotranspiration (ETo) and calculate the plant’s water requirement by integrating the crop coefficient (Kc) with other plant-related data. This enables the system to determine the optimal irrigation amount based on plant needs automatically. 3) User Interface (UI) and Display – This section allows farmers or users to input relevant information, such as plant type, soil type, irrigation system type, number of water emitters, planting distance, and growth stages. It also provides a display for monitoring and interaction with the system. 4) Irrigation Unit – This component is responsible for controlling the water supply and managing the irrigation emitters to ensure efficient water distribution based on the calculated requirements.
คณะเทคโนโลยีสารสนเทศ
The process of treating cancer patients in the chemotherapy department at Chonburi Cancer Hospital is complicated and inconvenient due to the procedure of submitting blood test results through the personal LINE application of medical staff, which hinders workflow efficiency. Therefore, the researcher has developed a cancer patient management and tracking program in the form of a web-based application and LINE LIFF (LINE Front-end Framework) application to facilitate both medical personnel and patients. The web-based application is designed for medical personnel to monitor, schedule, and collect patient data, while the LINE application is designed for patients to submit blood test results, view appointment schedules, record symptoms after chemotherapy, log their weekly weight, and access a chatbot for consultation. This system is developed based on client-server technology, which enhances data analysis efficiency and supports automated treatment planning. As a result, the cancer treatment process becomes faster, more modern, and more efficient.