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.
มลพิษทางอากาศนั้นส่งผลกระทบโดยตรงต่อสิ่งแวดล้อมและสุขภาพของสิ่งมีชีวิตทั้งในระยะสั้นและระยะยาว มลพิษทางอากาศนั้นสามารถจำแนกได้เป็นหลายกลุ่ม นั่นคือ มลพิษในรูปแบบสถานะแก๊ส ได้แก่ แก๊สโอโซน แก๊สไนโตรเจนออกไซค์ เป็นต้น และ มลพิษในรูปแบบของแข็ง ได้แก่ ฝุ่นละอองต่างๆ ซึ่งจะถูกจำแนกด้วยขนาดเป็นหลัก ในที่นี้ ฝุ่นละอองขนาดเล็ก (Particulate Matter) ตัวย่อ “PM” จะเป็นประเด็นสำคัญของงานวิจัยนี้เนื่องด้วยในปัจจุบัน สถานการณ์ฝุ่น PM2.5 ใน ประเทศไทยโดยเฉพาะภาคกลางและภาคเหนือ มีแนวโน้มที่จะรุนแรงขึ้นในฤดูหนาวของทุกปี
คณะวิทยาศาสตร์
In a highly competitive business, understanding customers is crucial for an organization to determine its success. Effective marketing is not just about offering good products, promotions, or services; it also requires strategies to reach and build strong relationships with customer groups. Segmenting customers is one method that helps businesses deeply understand the needs and behaviors of the customers who use their services In this internship, the objective is to understand the behavior of customers purchasing coffee and tea at a large cafe group by analyzing stored customer data. As a result of this process, customer groups purchasing coffee and tea were segmented using Naive Bayes, Random Forest, and Deep Learning techniques to compare the accuracy and suitability of different Machine Learning methods, and the insights gained from this analysis can be for further development in analyzing other data set in the future
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
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วิทยาลัยนวัตกรรมการผลิตขั้นสูง
A child manikin for Cardiopulmonary Resuscitation (CPR) training includes the trachea mechanism, neck mechanism, lung mechanism, heart pump mechanism, artificial skin, and sensor system. All components work together to function similar to a real child. It can be used to practice heart pumping and resuscitation. The manikin has been designed and verified by resuscitation experts. It has a system to evaluate the accuracy of the training and display the results on the computer for real-time monitoring.