Freshwater scarcity is a global crisis due to limited accessible freshwater resources and rising demand. Seawater desalination is a key solution but is energy-intensive and reliant on fossil fuels, leading to high costs and environmental impacts. This study aims to investigate the use of solar thermal energy from an evacuated tube collector for freshwater production via evaporation and condensation. The focus is on analyzing system efficiency by comparing freshwater yield with energy input. The findings may contribute to the development of sustainable desalination technologies suitable for freshwater-scarce regions.
ปัจจุบันโลกปกคลุมด้วยน้ำถึง 70% ของพื้นที่ทั้งหมด แต่มีทรัพยากรน้ำที่เป็นน้ำจืด (fresh water) ที่สามารถใช้อุปโภค บริโภคได้เพียง 3% ประกอบกับจำนวนประชากรที่เพิ่มสูงขึ้นอย่างต่อเนื่อง จึงเกิดวิกฤตการขาดแคลนน้ำ การแยกเกลือออกจากน้ำทะเลเป็นแนวทางสำคัญในการแก้ไขปัญหานี้ โดยงานวิจัยของเรามุ่งพัฒนาเทคโนโลยีแยกเกลือออกจากน้ำทะเลโดยใช้พลังงานแสงอาทิตย์ ผ่านระบบท่อสุญญากาศ (ETSC) เพื่อลดต้นทุน พึ่งพาพลังงานสะอาด และเพิ่มประสิทธิภาพการผลิตน้ำจืด โดยเฉพาะในพื้นที่แห้งแล้งที่ขาดแคลนน้ำ
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
This research aims to study the guidelines and develop a prototype of an application for public transport users to plan their journey and increase safety in using different types of public transport to travel to King Mongkut's Institute of Technology Ladkrabang. The objectives are as follows: 1) To study the factors of user experience (UX) and user interface (UI) design that affect the users of the application for using public transport. 2) To study the needs of users of public transport applications who must travel to King Mongkut's Institute of Technology Ladkrabang. 3) To present the guidelines for designing the user experience (UX) and user interface (UI) and to produce a prototype of the application for using public transport to travel to King Mongkut's Institute of Technology Ladkrabang. The research includes a review of the literature on User Experience (UX) and User Interface (UI) design, as well as a look at examples of public transportation applications and pick-up sites near King Mongkut's Institute of Technology Ladkrabang. This study is based on qualitative research. There are examples of employing relevant applications during the interview. The target audience is students aged 18 to 35 who will give prototypes for application development to satisfy their requirements. Provide information that is actually useful to users. The research results found that the public transport vehicles that the target group used the most were the Songthaew (the pick-up truck), train, airport rail link, motorcycle taxi, taxi, and bus, respectively. Users were concerned about various safety issues and wanted to design features to increase safety and confidence in using public transport vehicles for students, such as sending locations to relevant officials in the event of an emergency or when assistance was needed, and important information about public transport vehicles that students needed, such as calculating prices, calculating travel times, bus schedules, official and clear pick-up and drop-off points, bus routes, driver registration, suggestions or route recommendations, and the time of public transport vehicles arriving at the point where users were waiting, etc. The guidelines for designing the User Experience (UX) were presented from the analysis of the target group's data, which was a prioritization of the features of the menu for recording frequently used routes, a menu showing nearby pick-up points, a menu for searching for routes and selecting using various user constraints, such as calculating travel prices or travel times, and a menu that could set fonts and color modes to support a variety of users. This was because the study of user needs for fonts found an equal demand for Thai fonts with looped (Looped font) and without looped (Loopless font), as well as a study of the application's color requirements, which required both light and dark colors to be displayed in approximately equal amounts. This includes the design of the user interface (User Interface) by designing symbols that allow users to access the desired information quickly without confusion.
วิทยาเขตชุมพรเขตรอุดมศักดิ์
Durian is an important economic crop in Thailand that is affected by foliar diseases such as rust, leaf blight, and leaf spot. These diseases reduce the quality of the yield and increase management costs. This research focuses on developing AI software for screening durian leaf diseases by applying deep learning technology to classify different types of leaf lesions.
คณะแพทยศาสตร์
This study explores the application of deep convolutional neural networks (CNNs) for accurate pill identification, addressing the limitations of traditional human-based methods. Using a dataset of 1,250 images across 10 household remedy drugs, various CNN architectures, including YOLO models, were tested under different conditions. Results showed that natural lighting was optimal for imprinted pills, while a lightbox improved detection for plain pills. The YOLOv5-tiny model demonstrated the best detection accuracy, and efficientNet_b0 achieved the highest classification performance. While the model showed strong results, its generalization is limited by sample size and drug variability. Nonetheless, this approach holds promise for enhancing medication safety and reducing errors in outpatient care.