The presented project topic is Garbage Sorting Systems. The purpose is to study the operation and develop a waste sorting system that can automatically detect the type of waste using a proximity sensor to separate the types of metal and non-metal waste, as well as an ultrasonic sensor to check the amount of waste in the bin. If the amount of waste exceeds the specified amount, the system will send a notification to the communication device connected to the system, such as a smartphone or computer. The operation of the system is designed to increase the efficiency of waste management, reduce the burden of manual waste sorting, and promote recycling. This system can be applied in various places, such as educational institutions or public places, to help reduce the amount of waste that is not properly separated and increase the opportunity to reuse waste.
เนื่องจากทางภาควิชาวิศวกรรมอิเล็กทรอนิกส์ มีจุดมุ่งหมายให้นักศึกษาภายในภาควิชามีความรู้ความสามารถ ความเข้าใจ และประสบการณ์ในการปฏิบัติงานโดยมีวัตถุประสงค์เพื่อช่วยในการเสริมสร้างการเรียนรู้ควบคู่กับทฤษฎี และยังมีบทบาทสำคัญในชีวิตประจำวันอย่างมากเพื่ออำนวยความสะดวกต่างๆ เนื่องจากในปัจจุบันในกระบวนการผลิตทางอุตสาหกรรมได้มีการนำเอาอุปกรณ์ที่มีความทันสมัยเข้ามาใช้งานมากขึ้นโดยนำเอาเทคโนโลยีที่ทันสมัยเข้ามาประยุกต์ใช้ทางด้านอิเล็กทรอนิกส์ โครงงานนี้ประกอบไปด้วยเซ็นเซอร์ Proximity และเซ็นเซอร์ Ultrasonic ซึ่งเป็นอุปกรณ์ตรวจจับ คัดแยกวัตถุประเภทโลหะ อโลหะและวัดตรวจปริมาณขยะภายในถังขยะ เพื่อให้ชิ้นงานสามารถทำงานได้ตามขอบเขตที่กำหนด ซึ่งเครื่องคัดแยกขยะจะทำงานเมื่อมีการทิ้งขยะลงถัง เซ็นเซอร์จะทำการแยกประเภทของขยะตามที่ได้กำหนดไว้ จากนั้นจะมีการตรวจสอบปริมาณขยะภายในถัง หากปริมาณขยะเกินกำหนด ระบบจะส่งการแจ้งเตือนไปยังอุปกรณ์สื่อสารที่เชื่อมต่อกับระบบ
คณะอุตสาหกรรมอาหาร
Spent coffee grounds (SCG) are a byproduct of the coffee brewing process, and their quantity continues to increase due to the growing global coffee consumption. SCG contain beneficial compounds such as polysaccharides, dietary fibers, and antioxidants, which can be utilized in various applications, including prebiotic extraction. This study focuses on extracting prebiotics from SCG using acid hydrolysis and enzymatic hydrolysis methods to evaluate their potential in promoting the growth of beneficial gut microorganisms. The expected results of this research include adding value to coffee industry waste, reducing organic waste, and providing a sustainable approach to developing prebiotic products for use in the food and health industries. Furthermore, this study aligns with sustainable resource utilization and environmentally friendly practices.
คณะเทคโนโลยีการเกษตร
This study aimed to develop a website for collecting and organizing data on Young Smart Farmers in Chanthaburi Province. Data were collected through structured interviews with a sample of 30 participants. The information obtained was categorized and utilized to develop the website, which was subsequently disseminated to farmers and other stakeholders. The study also assessed user satisfaction with the website through a questionnaire, with data analyzed using descriptive statistics, including frequency, percentage, mean, and standard deviation.The results indicated that the sample comprised an equal proportion of male and female participants, with the majority (50.00%) aged between 36 and 40 years. Most respondents were Young Smart Farmers from the districts of Khlung, Laem Sing, and Kaeng Hang Maeo, each representing 13.33% of the sample. The majority of participants had attained a bachelor’s degree or equivalent (60.00%) and were primarily engaged in agricultural occupations (73.33%). The findings on user satisfaction with the website revealed a high level of satisfaction across all dimensions, ranked as follows 1) Website usability (Mean 4.97), 2) Overall satisfaction (Mean 4.93), 3) Content quality (Mean 4.91), 4) Practical benefits and applicability (Mean 4.87), and 5) Design and layout (Mean 4.85).
คณะวิศวกรรมศาสตร์
During the recent years, PM2.5 concentration is rising above the safety exposure limit in Thailand. PM2.5 could have originated from various sources such as exhaust fumes, open air burning, wildfire, etc. This concludes that all cities or places would have different PM source contributions. Most studies regarding the PM source findings were done based on chemical analysis. Our research team would like to predict the PM sources physically by nanostructures analysis. These methods would require the PM dust to be collected in a limited amount of time and dry. The use of paper filters may cause contamination from filter material which may cause errors in result evaluation. Our team suggests using Electrostatic Precipitator (ESP) where electrostatics is used to capture PM dust. This research mainly focuses on designing and building the ESP system for PM collection whereas the requirement is to collect at least 100 mg of PM dust within 1 day which would be adequate for nanostructure analysis. The study revealed that the customized ESP system could achieve of up to 80% collecting efficiency (which is more than the commercial ESP that we previously used), there’s a also a parametric study of relationships between flow velocity and collecting efficiency where collecting efficiency is inversely proportional to flow velocity. The suggested air velocity is not to exceed 2 m/s. However, there’re still more room for improvement of the ESP system for PM collection such as the convenience of PM collection process which resulted from the ESP construction geometry and sizes.