Yenpiem, Siriporn

Loading...
Thumbnail Image
Preferred name
Yenpiem, Siriporn
Main Affiliation
Email
siriporn.ye@kmitl.ac.th

Settings

Now showing 1 - 3 of 3
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Aircraft trajectory recognition via statistical analysis clustering for Suvarnabhumi International Airport
    (2020-02-01)
    Kamsing, Patcharin
    ;
    Torteeka, Peerapong
    ;
    Yooyen, Soemsak
    ;
    Yenpiem, Siriporn
    ;
    Delahaye, Daniel
    Since Suvarnabhumi International Airport is considered to be the biggest airport in Thailand, a big travelling-hub of southeast Asia and plays a significant part to the economy of Thailand relying on the tourism industry, an aircraft trajectory recognition is essential to support the high traffic management system from around the world. The first and essential stage of airport capacity enhancement is descriptive-analytic in several sections of the airport, including flight trajectory behaviors in order to plan an improvement procedure in the future. This experiment deploys K-mean and Gaussian Mixture clustering to compare results by using available automatic dependent surveillance-broadcast (ADS-B) dataset provided by the bigdata system from various websites. The test varies the number of clustering from three to ten and measures how similar an object is to its cluster by using the Silhouette score. Gaussian Mixture clustering produces at least three unique flight trajectories when setting the number of clustering equal to four, giving the Silhouette score of 0.43. K-mean clustering with the number of clustering equal to ten gives the highest Silhouette score of 0.45. However, its routes are not clearly recognized when compared with the Gaussian Mixture clustering. Although the overall results are not clearly shown in the pattern, it is enough to describe the trajectory patterns of the aircrafts taking off or landing over Suvarnabhumi International Airport.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    The Development of an Automated Technology for Unmanned Aircraft CNS/UTM in Compliance with Safety and Security Measures of the State
    (2025-01-01)
    Yenpiem, Siriporn
    ;
    Yooyen, Soemsak
    ;
    Banchong-Aksorn, Sasicha
    ;
    Yoneyama, Keito R.
    ;
    Jansri, Anurak
    This research project supports the Senate's study and represents the government committee on promoting and developing the use of unmanned aircraft in low-altitude flights, with safety measures in accordance with the International Civil Aviation Organization's and Civil Aviation Authority of Thailand's minimum requirements. The main objective of this study is to create an innovative approach to enhance the country's competitiveness, which must also be accepted at the national and international level. This is based on the reasons for building infrastructure and networks for communications, navigation, and surveillance analysis to prevent aircraft from colliding and assessing the aircraft's behaviors in both segregated and current manned air traffic-controlled airspace. The study supports the utilization of air traffic management for the Unmanned Aircraft System Traffic Management (UTM) Platform, which is a necessary tool in facilitating the policy of using unmanned aircraft for commercial use. It can be extended for practical uses and further development in areas where there is an integration between manned and unmanned aircraft, both small and large for sustainable future development. It consists of basic theoretical analysis, system requirements for flight operations, and applications for low-altitude operations (within 500 feet and weighing less than 150 kilograms). The study methodology for constructing a quantitative and qualitative method includes: 1.Creating a system for requesting risk assessment levels for flight operation and program development 2.Creating systems for managing aviation mapping and geo-awareness information 3.Creating a system for requesting activities, flight and flight plan authorization, examining flight areas, and communication network identifications. Which will be used with tracking, advising, helping, recording, and monitoring aircraft behaviors. 4.Creating a system for examining other aircraft, airspace traffic information, obstacles during flight operations, and deconflicts. This research lays the foundation for future studies in the aviation sector, including the development of unmanned aircraft system traffic management and urban air mobility systems, and the integration of unmanned with manned aircraft, regardless of aircraft type. However, continuous national and international research will remain critical.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    The Development of a Web-Based Questionnaire for Automatic Risk Assessment Analysis of Unmanned Aircraft
    (2025-01-01)
    Yenpiem, Siriporn
    ;
    Yoneyama, Keito R.
    ;
    Yooyen, Soemsak
    ;
    Banchong-Aksorn, Sasicha
    ;
    Jansri, Anuruk
    One of the Civil Aviation Authority of Thailand's goals is to enhance the country's economic competitiveness through innovation. This has led to an increase in the number of commercial unmanned aircraft being used in urban areas, which presents both challenges and opportunities. One challenge is the absence of an effective air traffic management system to accommodate this growth, leading to airspace congestion and potentially hazardous situations. This study develops a risk assessment model, based on the minimum requirements of international standards, in the form of a questionnaire designed to swiftly calculate risk levels associated with unmanned aircraft operations. The methodology includes extensive secondary and primary research, as well as the analysis of key components before converting the findings into a web application. The resulting web-based tool helps categorize aircraft operations into three levels: low (open category), medium (specific category), and high (certified category), which aligns with the airspace guidelines. This tool aids in evaluating and analyzing flight activities, facilitating the safe integration of unmanned aircraft into the airspace and reducing the risk of accidents.