This analysis focuses on the essential components of flight plans when operating at low altitudes. The study explores the critical elements that pilots and flight operators must consider to guarantee the safety of passengers, crew, and aircraft while flying at low altitudes. By examining factors such as weather conditions, airspace restrictions, terrain considerations, and emergency procedures, this analysis aims to provide valuable insights into optimizing flight planning processes for low-altitude operations
แผนการบินเป็นเอกสารสิ่งพิมพ์ตามมาตรฐาน ICAO เพื่อให้นักบินหรือตัวแทนบันทึกรายละเอียดการบินตามรายการพิมพ์และรายละเอียดของแผนการบิน เป็นข้อมูลที่นักบินใช้ตลอดการบินตั้งแต่สนามบินต้นทางถึงสนามบินปลายทาง ผ่านสนามบิน และสนามบินรอง นอกจากนี้ รายละเอียดในแผนการบินยังมีประโยชน์ในการควบคุมการจราจรทางอากาศและปฏิบัติการค้นหาและช่วยเหลือเมื่ออากาศยานมีปัญหา ทีมค้นหาและกู้ภัยจะใช้รายละเอียดในแผนการบินเป็นข้อมูลในการค้นหา
คณะเทคโนโลยีสารสนเทศ
The process of treating cancer patients in the chemotherapy department at Chonburi Cancer Hospital is complicated and inconvenient due to the procedure of submitting blood test results through the personal LINE application of medical staff, which hinders workflow efficiency. Therefore, the researcher has developed a cancer patient management and tracking program in the form of a web-based application and LINE LIFF (LINE Front-end Framework) application to facilitate both medical personnel and patients. The web-based application is designed for medical personnel to monitor, schedule, and collect patient data, while the LINE application is designed for patients to submit blood test results, view appointment schedules, record symptoms after chemotherapy, log their weekly weight, and access a chatbot for consultation. This system is developed based on client-server technology, which enhances data analysis efficiency and supports automated treatment planning. As a result, the cancer treatment process becomes faster, more modern, and more efficient.
คณะเทคโนโลยีการเกษตร
Soil is home to a diverse array of living organisms that interact within a complex food web, facilitating energy and nutrient cycling essential for sustaining life above ground. Among these organisms, soil microbes play a crucial role in supporting plant growth. Beneficial microorganisms enhance nutrient availability, improve soil structure by increasing porosity, and strengthen plant resistance to diseases. Conversely, harmful microorganisms, such as plant pathogens, can hinder plant growth and reduce crop yields when present in high concentrations. Neutral microorganisms, which naturally inhabit the soil, contribute to the soil ecosystem without directly impacting plants. A single teaspoon of soil contains over a billion microorganisms, yet only about 1% of them can be cultured in laboratory conditions. This highlights soil as one of the richest reservoirs of microbial diversity on Earth.
คณะวิศวกรรมศาสตร์
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.