This conceptual model, inspired by the Rose Window in Gothic architecture, embodies intricate geometric patterns that reflect divine harmony and balance. Its symmetrical structure and the interplay of light passing through stained glass create a sense of movement, enhancing the sacred and mystical atmosphere. The composition evokes a celestial presence, like a window to heaven.
โครงการนี้เกิดจากแรงบันดาลใจในการสำรวจความสัมพันธ์ระหว่างศิลปะสถาปัตยกรรมกอทิกและการออกแบบสมัยใหม่ โดยนำกระจกสีมาใช้เป็นแรงบันดาลใจในการศึกษาความสมดุลและความศักดิ์สิทธิ์ของลวดลายและแสง เพื่อแสดงให้เห็นถึงความสำคัญของแสงและวัสดุในการสร้างบรรยากาศที่มีความลึกและความเคลื่อนไหว
คณะเทคโนโลยีการเกษตร
Siamese fighting fish (Betta splendens) is an ornamental fish that is the first exported economically valuable fish in the country, but there is a limitation to increase the production of betta fish due to climate variability and the shortage of Thai workers. This research aims to develop 2 systems: a betta fish fry nursery system and a market-sized betta fish rearing system by using automated technology to precisely control the water quality in the system and reduce labor costs. Using precise automation consists of two systems: a minimal-waste system, which repurposes some of the waste generated from farming, and a zero-waste system, which treats and recycles all wastewater from farming. These systems aim to address issues related to water quality, animal welfare, and labor requirements in Betta fish farming. Experimental results show that these systems improve Betta fish survival rates by 10-15% compared to traditional methods. When considering net returns, the zero- waste system provides the highest profitability.
คณะเทคโนโลยีการเกษตร
This project involves the development of a plant care system for dormitories using IoT (Internet of Things). The system is implemented through programming on an ESP-32 board and controlled via sensors for automated watering. The commands are operated through smartphones, supporting both iOS and Android. It is expected that this project will make plant care in dormitories easier and more convenient.
คณะวิทยาศาสตร์
The current residential solar panels lack an adequate monitoring system, which hinders their optimal utilization. This research aims to design an Internet of Things (IoT) monitoring system and employ machine learning techniques to predict the current and voltage generated by solar panels. Experimental studies have revealed a correlation between dust accumulation and the current output of solar panels. The proposed system facilitates the prediction of the optimal time for cleaning solar panels.