A child manikin for Cardiopulmonary Resuscitation (CPR) training includes the trachea mechanism, neck mechanism, lung mechanism, heart pump mechanism, artificial skin, and sensor system. All components work together to function similar to a real child. It can be used to practice heart pumping and resuscitation. The manikin has been designed and verified by resuscitation experts. It has a system to evaluate the accuracy of the training and display the results on the computer for real-time monitoring.
ปัจจุบันในท้องตลาดมีหุ่นสำหรับฝึกการกู้ชีพมากมาย แต่หุ่นจำลองเด็กสำหรับฝึกการกู้ชีพยังไม่พบมากนัก นอกจากนี้หุ่นที่มีขายในท้องตลาดยังขาดระบบการประเมินผลการฝึกที่แม่นยำ ไม่มีการรับรองความถูกต้องของผลที่ได้จากการใช้งาน ดังนั้นในงานวิจัยนี้จึงประดิษฐ์หุ่นจำลองเด็กอัจฉริยะสำหรับฝึกการกู้ชีพ โดยหุ่นมีกลไกหลอดลม กลไกคอ กลไกปอด กลไกการปั้มหัวใจ ผิวหนังเทียม และระบบเซนเซอร์ ทั้งหมดทำงานร่วมกันคล้ายเด็กจริง โดยมีระบบผู้เชี่ยวชาญ (Expert System) ทำหน้าที่ประเมินผลการฝึกฝนและแสดงแบบทันทีบนหน้าจอ หุ่นนี้ได้รับการตรวจสอบและยืนยันความถูกต้องจากการใช้งานโดยผู้เชี่ยวชาญด้านการกู้ชีพตัวจริง
คณะวิทยาศาสตร์
The objective is to develop a web application for tool requests to issues arising from using Excel programs. The initial Excel file is copied from an existing SQL database and repeatedly duplicated, leading to excessive storage consumption. Additionally, the Excel files cannot be accessed concurrently by multiple users. Therefore, this web application aims to connect directly to the SQL database, eliminating the problems caused by using Excel files.
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
คณะวิทยาศาสตร์
This project aims to investigate and develop an energy storage system utilizing solar energy sources through the integration of solar cell technology and Graphene Quantum Dot Battery, representing a novel approach to enhancing energy storage efficiency and prolonging the lifespan of renewable energy systems. The selection of graphene and quantum dots as materials for battery development is attributed to their exceptional properties, including high electrical conductivity, charge storage capacity, efficient energy transfer, and enhanced stability.