Cooling suit with two-phase flow heat-exchange system is a state-of-the-art heat sink, designed for thermal dissipation in fire fighter, racing driver and worker who needs to wear Personal Protective Equipment (PPE). The liquid cooling system with gas injection can enhance heat transfer performance and continuously maintain the temperature at 18-20 degree Celsius.
นักดับเพลิง นักแข่งรถ บุคคลที่ต้องสวมใส่ชุด PPE ในการทำงาน เป็นอาชีพที่มีความเสี่ยงที่จะเสียชีวิตจากโรคลมแดด (heat stroke) ดังนั้นจึงมีแนวคิดในการใช้องค์ความรู้ทางวิศวกรรมเครื่องกลมาออกแบบและสร้างนวัตกรรมใหม่ สำหรับกลุ่มบุคคลที่มีความเสี่ยงจากโรคลมแดด
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
คณะวิศวกรรมศาสตร์
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คณะวิศวกรรมศาสตร์
SecurionSphere is the penetration testing learning platform that focuses on web application exploitation. This platform is intended to address concerns seen in existing penetration testing platforms, such as resource sharing that may affect other users and the constant environment configuration the permits the same response leading to copy the answer from others. Supervisors can use templates to address various forms of web application vulnerability threats. Users can generate the instance of supervisor's templates machine. The platform also randomly generates the environment configuration for each machine has the difference environment and the answer. This allows the users get more realistic learning experiences without affecting the resources of others.