This work got the idea of bringing the car culture of Thai teenagers to present in a new way through our perspective. Create characters and bring various elements within the culture to combine with what we like. Whether it's stickers, posters and band shirts with acrylic paint techniques.
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คณะเทคโนโลยีสารสนเทศ
This research presents a deep learning method for generating automatic captions from the segmentation of car part damage. It analyzes car images using a Unified Framework to accurately and quickly identify and describe the damage. The development is based on the research "GRiT: A Generative Region-to-text Transformer for Object Understanding," which has been adapted for car image analysis. The improvement aims to make the model generate precise descriptions for different areas of the car, from damaged parts to identifying various components. The researchers focuses on developing deep learning techniques for automatic caption generation and damage segmentation in car damage analysis. The aim is to enable precise identification and description of damages on vehicles, there by increasing speed and reducing the work load of experts in damage assessment. Traditionally, damage assessment relies solely on expert evaluations, which are costly and time-consuming. To address this issue, we propose utilizing data generation for training, automatic caption creation, and damage segmentation using an integrated framework. The researchers created a new dataset from CarDD, which is specifically designed for cardamage detection. This dataset includes labeled damages on vehicles, and the researchers have used it to feed into models for segmenting car parts and accurately labeling each part and damage category. Preliminary results from the model demonstrate its capability in automatic caption generation and damage segmentation for car damage analysis to be satisfactory. With these results, the model serves as an essential foundation for future development. This advancement aims not only to enhance performance in damage segmentation and caption generation but also to improve the model’s adaptability to a diversity of damages occurring on various surfaces and parts of vehicles. This will allow the system to be applied more broadly to different vehicle types and conditions of damage inthe future
คณะอุตสาหกรรมอาหาร
This study aims to investigate the co-fermentation process between lactic acid bacteria (LAB) and Saccharomyces cerevisiae in the production of sour beer, with a focus on its impact on product quality, including pH, organic acid content, sugar content, and sensory characteristics. In this experiment, selected LAB strains and S. cerevisiae were utilized under controlled fermentation conditions. The microbial ratio was optimized to enhance growth and the production of key compounds. The findings indicate that co-fermentation significantly reduces pH compared to fermentation with yeast alone. Furthermore, an increase in lactic acid was observed due to sugar consumption by LAB, contributing to the distinctive flavor profile of sour beer.
คณะเทคโนโลยีสารสนเทศ
This thesis aims to present the development of a metaverse project for the KMITL Lifelong Learning Center (KLLC) and KMITL Data Management Center (KDMC) for Public Relations at King Mongkut's Institute of Technology Ladkrabang, with the main goal of creating a metaverse prototype to promote learning and public relations through virtual reality technology for students, staff, and external individuals. In this project, the developers have created a metaverse system to simulate a virtual experience for users at the KMITL Lifelong Learning Center (KLLC) and KMITL Data Management Center (KDMC) for Public Relations at King Mongkut's Institute of Technology Ladkrabang. Users will be able to access the system through a web application developed with Unity, which is the tool used to create the metaverse system. The design allows users to visit and interact with various locations within the building to promote public relations in a more widespread virtual format. The developers used Maya and Unity software to create a metaverse system for modeling 3D objects and managing various functions, providing users with a realistic and novel experience. This project is expected to promote learning and the dissemination of information in an easily accessible modern format, creating opportunities for education and learning for those who cannot travel to see the actual locations. This makes metaverse technology an important tool for effectively developing learning and engagement in the digital age.