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BAM property Design Contest #9

Abstract

A commercial architecture consists of a community mall and home offices. The project’s main concept concerns the lack of activities around the given site. The project tackles the main issues of underdevelopment by aiming to bring back the liveliness of the local people back by integrating work-life symbolism and natural spaces, resulting in an interesting design.

Objective

โปรเจคตามหลักสูตรออกแบบสถาปัตยกรรม 4 ชั้นปีที่ 3 เพื่อเปิดโอกาสให้นักศึกษาได้แสดงความรู้ ความสามารถ รวมถึงความคิดสร้างสรรค์ด้านการออกแบบ สําหรับการลงทุนเพื่อการพัฒนาที่ดิน ให้เป็น พื้นที่เชิงพาณิชย์พร้อมบ้านพักอาศัย ให้มีความพิเศษและน่าสนใจ ตามแนวคิด Concept Green & Digital

Other Innovations

KinderForest : Puzzle Building Game with VR Technology

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KinderForest : Puzzle Building Game with VR Technology

KinderForest : Puzzle Building Game with VR Technology is designed to utilize Virtual Reality (VR) technology with the primary aim of promoting creative problem-solving skills and basic practical application abilities among players. This project presents the game in an Augmented Virtual Reality (AR VR) format, emphasizing physical engagement of players during gameplay while fostering creativity and fundamental application skills. The project team has chosen to utilize Unreal Engine 5.1 and Oculus Quest 2 virtual reality glasses to develop the game in the form of augmented virtual reality technology. Within the game, there will be various levels that require creative thinking and different approaches to pass. Time constraints will be a crucial element in completing missions and progressing through these levels. Players will physically move their bodies in response to in-game movements. Each level will present unique challenges that will necessitate both physical movement and problem-solving skills. The game will provide different rewards based on the outcomes of mission completion, and players will be informed of their results once they have successfully passed a level.

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Artifical intelligence for agriculture and enviroment

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Artifical intelligence for agriculture and enviroment

Artificial intelligence for agriculture and environment is a collection of significant models for enviromental friendly Thailand development. The models create with machine learning and deep learning by Near infrared spectroscopy research center for agricultural and food products, including: Determining the nutrient needs (N P K) of durian trees by measuring durian leaves using a non-destructive technique using artificial intelligence, Identification of combustion properties of biomass from fast-growing trees and agricultural residues using non-destructive techniques combined with artificial intelligence, and Evaluation of global warming due to biomass combustion using non-destructive techniques using artificial intelligence. The basic technology used is Near infrared Fourier transform spectroscopy technology which measurement and output display can be done quickly without chemical, no requirement for special expert, and measurement price per sample is very low. But the instrument cannot be produced in Thailand.

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DEVELOPMENT OF CURCUMIN DOUBLE-WALLED BEADS COLORIMETRIC SENSOR FOR DETERMINATION OF PYRIDOXINE (VITAMIN B6) IN DIETARY SUPPLEMENT WITH DETECTION BY IMAGE PROCESSING

คณะวิทยาศาสตร์

DEVELOPMENT OF CURCUMIN DOUBLE-WALLED BEADS COLORIMETRIC SENSOR FOR DETERMINATION OF PYRIDOXINE (VITAMIN B6) IN DIETARY SUPPLEMENT WITH DETECTION BY IMAGE PROCESSING

A smartphone-based colorimetric sensor for quantitative detection of pyridoxine (Vitamin B6, VB-6) in functional drink samples has been realized by developing double layer hydrogel. Electrostatic interaction initiates the cross-linking and produces double layer hydrogel.

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