Public Park Project: Coastal folk Park is a design park in the area of Ang Sila Subdistrict, Chonburi Province. In an area of 22 acre, it is intended to be a place of rest, recreation, and also a source of learning and conservation of the seashore and the traditional way of life of the area.
จากพื้นที่ในการออกแบบเป็นพื้นที่ชายทะเลและติดกับชายเลนผู้คนในพื้นที่ยังดำเนินวิถีชีวิตแบบเรียบง่าย ยังคงมีการแกะสลักหิน ถีบกระดานหาหอย ทำให้เห็นถึงความผูกพันกับพื้นที่และวิถีชีวิต จึงเกิดไอเดียในการออกแบบสวนสาธารณะเพื่อรองรับทั้งกลุ่มคนที่ต้องการท่องเที่ยวและกลุ่มคนในพื้นที่ โดยการออกแบบให้สวนสาธารณะที่เคารพต่อบริบทของพื้นที่ โชว์จุดเด่นของวิถีชีวิต ไม่ว่าจะเป็น เรือเล็ก รูปหินแกะสลัก อาคารที่สร้างจากไม้ไผ่ และยังมีพื้นที่สำหรับการจัดกิจกรรมชุมชนอีกด้วย
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.
คณะครุศาสตร์อุตสาหกรรมและเทคโนโลยี
The Department of Engineering Education at KMITL offers courses in power electronics laboratory practices, which require the use of expensive imported training kits. This results in a loss of national revenue due to the purchase of these imported kits. Therefore, the developers propose a power electronics training kit that offers equivalent or superior functionality to the imported ones while being more cost-effective, making it suitable for student experiments.
คณะวิศวกรรมศาสตร์
Under The National Broadcasting and Telecommunications Commission (NBTC), the Telecommunication Enforcement Bureau collects a lot of data on service quality by monitoring and controlling the quality of telecommunications services, mainly by assessing mobile network infrastructure. The NBTC used Microsoft Excel for data analysis but became ineffective and slow. We used Python programming for preparation, analysis, and data processing to address this. Raw data was obtained from the Syberiz program in CSV format, processed in Python, and displayed on a dashboard. The dashboard, developed using Power BI, meets NBTC's telecommunications quality standards. It features maps, test results, and graphical representations. This method enhances the dashboard's appearance and usability and speeds up data processing and visualization compared to Microsoft Excel. This project is primarily designed to help the Telecommunication Enforcement Bureau's operations by making data processing and display for telecommunications quality monitoring faster, more effective, and easier to use.