This thesis presents the application of deep learning for object classification. The selected deep learning architectures studied include Convolutional Neural Networks (CNN) and ResNet18. It covers data preparation, feature extraction, parameter tuning for accuracy comparison, and performance evaluation of the selected models. The aim is to propose an efficient model for use in devices that assist visually impaired individuals in classifying indoor objects and providing sound alerts.
ในปัจจุบันปัญหาในการเคลื่อนที่และการรับรู้สภาพแวดล้อมรอบตัวสำหรับผู้บกพร่องทางสายตายังคงเป็นอุปสรรคสำคัญในสังคมส่งผลให้เกิดความเสี่ยงต่อการเดินชนสิ่งกีดขวางและได้รับอันตราย ด้วยการนำเทคโนโลยีปัญญาประดิษฐ์เข้ามาใช้ในการเรียนรู้ การวิเคราะห์ และประมวลผลข้อมูลได้อย่างรวดเร็วเพื่อจำแนกวัตถุ ปริญญานิพนธ์นี้จึงมีจุดประสงค์เพื่อสร้างอุปกรณ์สำหรับช่วยเหลือผู้บกพร่องทางสายตาที่ใช้อัลกอริทึมการเรียนรู้เชิงลึกแบบต่างๆ เพื่อนำไปจำแนกวัตถุที่เป็นอุปสรรคสำหรับผู้บกพร่องทางสายตาในการทำกิจวัตรประจำวันภายในอาคารและส่งสัญญาณเตือนให้ผู้ใช้งานทราบให้เคลื่อนที่อย่างปลอดภัย
วิทยาลัยเทคโนโลยีและนวัตกรรมวัสดุ
The photoelectrochemical detection of salbutamol, which is illicitly used as a lean meat promoter in pigs, is investigated using a molecularly imprinted polymer (MIP)-based sensor with a CuO/g-C₃N₄ nanocomposite to enhance detection performance, leveraging nanomaterials and molecular imprinting for high selectivity and sensitivity. This approach offers a promising strategy for the precise and efficient analysis of salbutamol in food samples.
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.
วิทยาลัยวิศวกรรมสังคีต
This project explores the therapeutic potential of binaural beats within a 3D soundscape environment, focusing on the effects of left-right (L-R) beating sound positioning. Using Dolby Atmos technology to create immersive auditory experiences, the research aims to investigate how varying spatial beating sound placements in binaural beat therapy influence mental and emotional healing. Binaural beats, a form of auditory brainwave entrainment, have been shown to promote relaxation, reduce anxiety, and enhance cognitive performance. However, there has been limited exploration of how spatial sound technologies, like Dolby Atmos, can enhance the efficacy of these therapies. This study examines how different beating L-R configurations in a 3D soundscape impact the listener’s perception and therapeutic outcomes. Participants will experience binaural beat sessions in various beating L-R orientations, and physiological and psychological measures, such as heart rate variability and self-reported relaxation levels, will be assessed. The results are expected to provide new insights into the interaction between spatial audio environments and sound-based therapies, potentially improving sound therapy practices by leveraging advanced audio technologies.