Jaundice, a common condition in infants that results from high bilirubin levels in the blood, often requires early diagnosis and monitoring to prevent severe complications, especially in newborns. Traditional diagnostic methods can be time-consuming and subject to human error. This study proposes an approach for real-time jaundice detection using advanced image processing techniques and machine learning algorithms. By analyzing images captured in RGB color spaces, pixel values are extracted and processed through Otsu’s thresholding and morphological operations to detect color patterns indicative of jaundice. A classifier model is then trained to distinguish between normal and jaundiced conditions, offering an automated, accurate, and efficient diagnostic tool. The system’s potential to operate in real-time makes it particularly suited for clinical settings, providing healthcare professionals with timely insights to improve patient outcomes. The proposed method represents a significant innovation in healthcare, combining artificial intelligence and medical imaging to enhance the early detection and management of jaundice, reducing reliance on manual interventions and improving overall healthcare delivery.
โรคดีซ่าน ซึ่งเป็นภาวะทางการแพทย์ทั่วไปที่มีลักษณะการเหลืองของผิวหนังและดวงตา มักบ่งบอกถึงความผิดปกติของตับหรือเลือดที่อยู่เบื้องหลัง การตรวจพบในระยะเริ่มต้นมีความสำคัญอย่างยิ่ง โดยเฉพาะในทารกแรกเกิด ที่หากไม่ได้รับการรักษาโรคดีซ่าน อาจนำไปสู่ภาวะแทรกซ้อนร้ายแรงได้ วิธีการวินิจฉัยแบบดั้งเดิมต้องอาศัยการตรวจสอบด้วยสายตาหรือการทดสอบในห้องปฏิบัติการ ซึ่งอาจใช้เวลานานและมีข้อผิดพลาดได้ ความก้าวหน้าล่าสุดในด้านการประมวลผลภาพและแมชชีนเลิร์นนิงเสนอความเป็นไปได้ใหม่ ๆ สำหรับการตรวจจับที่แม่นยำ มีประสิทธิภาพ และแบบเรียลไทม์มากขึ้น ด้วยการวิเคราะห์รูปแบบสีผิว ปัญญาประดิษฐ์ (AI) สามารถทำให้การวินิจฉัยเป็นไปโดยอัตโนมัติ ทำให้รวดเร็วขึ้นและลดการพึ่งพาการประเมินโดยมนุษย์
คณะวิศวกรรมศาสตร์
Stirling engine is the external heated engine that heat is sup-plied externally to the heater part of the engine. Thus, Stirling cycle engine can be employed with various sources of renewable energy such as biomass, biofuel, solar energy, geothermal energy, recovery heat, and waste. The integration of gasifier, burner, and heat engine as a power system offers more fuel choices of each local area with potential resources resulting independent from shortage and cost fluctuation of fossil fuel. This research aims to investigate the integration of the Stirling engine with a wood pellet gasifier for electric power generation. Biomass can be controlled to have continuously combustion with ultra-low toxic emission. Stirling engine, therefore, is a promising alternative in small-scale-electricity production. Even though many biomass-powered Stirling engines were successfully constructed and marketed but these engines and the use of biomass resources as fuel for power generation are quite new concepts in some developing countries. Especially, the capital cost of this engine is high and unaffordable for installation compared to other power systems. Therefore, this research aims to the study attractive and feasibility of the compact Stirling engine with green energy.
วิทยาลัยนวัตกรรมการผลิตขั้นสูง
Smart Agriculture has rapidly developed in recent years, particularly with the integration of robotics and automation technologies to improve production efficiency and reduce costs, thereby enhancing the quality of current agricultural practices. A key innovation in this area is the rail-based robotic arm, designed to enhance work efficiency using a rail system with high precision and effectiveness. The application of this robotic arm covers various processes, such as planting, sorting, maintenance, harvesting, and resource management, allowing continuous operation and reducing human labor in repetitive and high-risk tasks. Studies have shown that the use of rail-based robotic arms in agriculture can significantly improve work efficiency, reduce production costs, and effectively mitigate environmental impact. By using robots in agricultural processes, it is possible to reduce contamination, lower the risk of crop damage, and make agriculture more sustainable. Additionally, it can increase accuracy in operations on limited spaces or farms with diverse crops. From these findings, it can be concluded that adopting rail-based robotic arm technology in agriculture not only enhances long-term production efficiency but also promotes sustainable agriculture and maximizes resource use, meeting future agricultural demands
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
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