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Author: search.filters.author.Yoneyama, Keito R.

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    Structural Equation Modeling for Airspace Optimization: The Analysis of Causal Factors Influencing Aviation Safety
    (2026-05-01)
    Yenpiem, Siriporn
    ;
    Yooyen, Soemsak
    ;
    Delahaye, Daniel
    ;
    Yoneyama, Keito R.
    Increased flight volumes necessitate urgent reforms in Airspace Management (ASM) to mitigate risks of fatalities and near-misses. In order to enhance aviation system safety, the International Civil Aviation Organization (ICAO) mandates that state parties must conduct the Universal Safety Oversight Audit Program (USOAP) to continuously monitor civil aviation. This research aims to identify critical factors influencing Thailand’s ASM by employing experimental design and Structural Equation Modeling (SEM) to analyze influences and relationships among communication, surveillance, navigation, Air Traffic Management (ATM), and ASM. The methodology includes stimulation and a questionnaire-based survey conducted with aviation professionals and mapping out their answers to find the influences, relationships, and importance of the different factors. The results were validated using various statistical tools. The findings indicate signi1ficant direct and indirect effects on ASM, emphasizing that effective communication and robust surveillance are essential for safety and operational efficiency. This study highlights the need to increase the ASM framework, providing actionable insights for optimizing air traffic control in response to the growing air traffic demand. Furthermore, SEM for Airspace optimization can be applied internationally to significantly reduce accidents and incidents in the future.
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    The Development of a Prototype for Low Altitude Operations of Unmanned Aircraft Flight Plan Systems
    (2025-09-01)
    Yenpiem, Siriporn
    ;
    Yooyen, Soemsak
    ;
    Tungkasthan, Anucha
    ;
    Banchongaksorn, Sasicha
    ;
    Yoneyama, Keito R.
    The use of Unmanned Aircraft has grown significantly in Thailand and worldwide, particularly for operations below 450 feet. However, unlike manned aviation, there remains a lack of integrated digital platforms to manage flight plans that align with regulatory and operational requirements specific to low altitude activity. This study employed both secondary research and expert interviews to gather technical and regulatory user requirements. The data were analyzed and validated using Structural Equation Modeling to identify key variables influencing safety operations. Based on these findings, a standardized low altitude flight plan format was developed and converted into a prototype web platform called GoFly. The system enables operators to register aircraft and pilot credentials and to submit flight plans digitally. This platform addresses the current fragmentation in Thailand’s flight planning process by centralizing operations and enhancing regulatory compliance. The study contributes to the foundational development of a digital Unmanned Aircraft Traffic Management system tailored for emerging airspace users in Thailand and demonstrates potential scalability to other international regulatory contexts.
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    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.
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    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.
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    Determining the Optimal Parameters for Preventing Backward Falls Using a Human Movement Dataset: An Investigative Study
    (2024-01-01)
    Yoneyama, Keito R.
    ;
    Sermswan, Anawat
    ;
    Jansri, Ukkrit
    ;
    Srisuttee, Ratakorn
    Falls are a major health concern, particularly for the elderly, as they often lead to severe injuries like hip fractures. Fortunately, there are a lot of publicly available datasets that can offer valuable insights regarding the mechanics of falls and activities of daily living. This study aims to determine the optimal prevention threshold for backward falls using available datasets, thereby avoiding any fall-related injuries. The methodology employed in this study involves identifying downward trends of acceleration and angular velocity on the graph. The Pythagorean Theorem is used to calculate the resultant acceleration, while differences are computed to determine the changes in angular velocity. The results from 150 samples shows that the acceleration for the prevention threshold range is between 3.016m/s<sup>2</sup> - 4.308 m/s<sup>2</sup>and the average angular velocity is 0.522 rad/s - 0.746 rad/s which not only prevents a person from falling backward but will also be able to distinguish between activities of daily living. In conclusion, using existing dataset can offer essential knowledge into fall detection and serves as a foundation for determining the optimal fall prevention threshold.