• Journal of the Institute of Electronics Engineers of Korea SC
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• v.49 no.3
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• pp.1-11
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• 2012

Data association plays an important role in intelligent systems. This paper presents the Bayesian formulation of data association and its applications to intelligent systems. We first describe the Bayesian formulation of data association developed for solving multi-target tracking problems in a cluttered environment. Then we review applications of data association in intelligent systems, including surveillance using wireless sensor networks, identity management for air traffic control, camera network localization, and multi-sensor fusion.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.783-786
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• 2005

HLA는 상호 운용성과 재사용성을 목적으로 미국 국방성 산하 기관인 DMSO에서 개발되어진 분산 시스템 프레임워크이다. 이러한 HLA가 민간 부분 적용을 위해 표준이 발표되었고, HLA는 여러 분야의 범용성을 가지기 위해 복잡한 구현 시스템을 가지게 된다. 특히, 객체의 속성변화를 반영하기 위해서는 많은 통신 부하가 발생한다. 이런 단점을 해결하기 위해 제안하였던 객체 관리 모듈을 이용한 항공 교통관제 시뮬레이션을 구현하여 객체 관리 모듈의 성능 및 적용 분야를 평가한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.871-872
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• 2009

FDP(Flight Data Processor) is processing of flight data for safety air traffic management. FDPs takes core function in aviation safety. Position estimation of aircraft is a key feature of the FDPs. In this paper, the requirements for position estimation of aircraft was defined.

• Journal of the Ergonomics Society of Korea
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• v.36 no.5
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• pp.467-484
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• 2017

Objective: The purpose of this paper is to review, with the main focus on aviation safety technology and management program, how human factors are currently taken into consideration within transportation sectors, especially aviation, and to further share related information. Background: Human factors account for the majority of aviation accidents/incidents. Thus, the aviation sector has been comparatively quick in developing and applying technologies and management programs that deal with human factors. This paper reviews the latest safety technologies and management programs regarding human factors and aims to identify the trend. Method: This paper, based on literature research and practical experience, examines the latest international standards on technologies and management programs, those that deal with human factors and are adopted by international and domestic aviation organization. The main focus of discussion is how human factors are reflected during the system design and operation process. Results: The current most important issue in designing is the consideration of human factors in Cockpit, Automation, and Safety system technology design. From an operational point of view, the issues at hand are screening and training aviation workers to promote aviation safety, providing education on human factors and CRM/TEM, and running a safety management program to implement SMS. They were discussed based on the operational experience within the aviation sector. Conclusion: Major examples of a human factors approach to promote aviation safety are safety programs and various safety and monitoring technologies applied to aviation personnel for error management. These programs must be managed in an integrated manner that takes both the system designing and operational point of view into account. Application: It is thought that the human factors approach for promoting aviation safety reviewed in this paper can be extended and applied to safety management programs in other transportation sectors such as the railroad, maritime, road traffic etc.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.10
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• pp.2544-2560
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• 2013

As a cornerstone of the next generation air traffic management (ATM), automatic dependent surveillance-broadcast (ADS-B) system can provide continual broadcast of aircraft position, identity, velocity and other messages over unencrypted data links to generate a common situational awareness picture for ATM. However, since ADS-B messages are unauthenticated, it is easy to insert fake aircrafts into the system via spoofing or insertion of false messages. Unfortunately, the authentication for ADS-B messages has not yet been well studied. In this paper, we propose an efficient broadcast authentication scheme with batch verification for ADS-B messages which employs an identity-based signature (IBS). Security analysis indicates that our scheme can achieve integrity and authenticity of ADS-B messages, batch verification, and resilience to key leakage. Performance evaluation demonstrates that our scheme is computationally efficient for the typical avionics devices with limited resources, and it has low communication overhead well suitable for low-bandwidth ADS-B data link.

• Journal of the Ergonomics Society of Korea
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• v.35 no.4
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• pp.225-235
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• 2016

Objective: The aim of this study is to model all levels of situation awareness (SA), which would be able to predict situation awareness quantitatively. Background: When measuring situation awareness, directly measuring SA methods such as SAGAT and SART have been utilized. Several approaches (cognitive modeling approaches) were introduced to model SA but level 3 SA was not completed. For real-life situation, however, it is necessary to detect the problematic level of SA rather than overall SA. Therefore, we proposed a new model of all levels of SA in this study. Method: In order to model all levels of SA, this study chose factors in ACT-R architecture through literature review. ATC (Air Traffic Control)-related simulation task was video-taped to analyze human behaviors in order to model all levels of SA including level 3. Results: As a result, regression analyses show that cognitive activities (neural activations) represented for all levels of SA were highly correlated with SAGAT. Conclusion: In conclusion, neural activations in ACT-R could be proved to be effective to model all levels of SA. Application: Our SA model could be used to predict all levels of SA quantitatively without directly measuring the SA of operators.

• Proceedings of the SAREK Conference
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• 2009.06a
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• pp.1379-1384
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• 2009

High power light emitting diode(LEDs), a strong candidate for the next generation general illumination applications are of interest. With major advantages of power saving, increased life expectancy and faster response time over traditional incandescent bulb, the LEDs are rapidly taking over many applications such as LCD backlighting, traffic light, automotive lighting, signage, etc. The increased electrical currents used to drive the LEDs have focused more attention on the thermal management because the efficiency and reliability of the solid-state lighting devices strongly depend on successful thermal management. There exist some problems that are caused by heat generation in the LED package, such as wire breakage, yellowing of epoxy resin, lifted chip caused by reflow of thermal paste chip attach and interfacial separation between LED package and silicon resin. The goal of this study is to analyze high power LED thermal properties of using pulsating heat pipe.

• Journal of Korean Society for Atmospheric Environment
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• v.29 no.4
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• pp.447-458
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• 2013

The present operating system for the atmospheric monitoring network in the city of Seoul, Korea, has been established since the late 90s by the Korean Ministry of Environment (KMOE). In this research, it was evaluated by the multi-statistical approaches through combinations of time series analysis, correlation matrix, and multiple cluster analysis. Finally, road traffic including resuspended materials can be one of the main sources of particulate matter in the atmosphere. Based on its importance, it will be significant challenges in quantitative evaluation of its contribution to airborne concentrations. The future directions for their amendments such as a new management plan for the source of road dust (including car emissions) were devised and proposed based on the statistical judgements derived in this research.

• Korean Journal of Construction Engineering and Management
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• v.5 no.4 s.20
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• pp.139-146
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• 2004

Resent removal work for road signs has been labor intensive and required times since it has been done manually using shaving type equipment. While traditional process is conducting, there are traffic jams caused by the passing control, and happened unexpected accidents to workers working at dangerous road circumstance. Besides, in current shaving method, there are high potentialities on the air pollution as well as the explosive accident occurred by using a propane gas. So, as an alternative, we have studied to develop the automatic erasing equipment made up with a high pressure water-jet system and automatic control system, mobile system; Wate-rjet system consists of an intensifier and nozzles to give a high pressure and spray on the sign, and automatic control system is composed of one axis robot using a hydraulic servo actuator controlled by a lever, And as a mobile system, a truck plays an important role for the transport of equipment and the forward movement in a removal process. In this paper, we have analyzed the characteristics of road signs and have investigated current erasing methods in the field. And we have organized and designed automatic erasing equipment, and we have made a basic experiment to find out the optimal spray condition as like the spray distance, spray angle and injection pressure.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.3
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• pp.42-49
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• 2023

Not only in aviation industry but also in other industries, safety data plays a key role to improve the level of safety performance. By analyzing safety data such as aviation safety report (text data), hazard can be identified and removed before it leads to a tragic accident. However, pre-processing of raw data (or natural language data) collected from each site should be carried out first to utilize proactive or predictive safety management system. As air traffic volume increases, the amount of data accumulated is also on the rise. Accordingly, there are clear limitation in analyzing data directly by manpower. In this paper, a topic prediction model for aviation safety mandatory report is proposed. In addition, the prediction accuracy of the proposed model was also verified using actual aviation safety mandatory report data. This research model is meaningful in that it not only effectively supports the current aviation safety mandatory report analysis work, but also can be applied to various data produced in the aviation safety field in the future.