• 한국항공운항학회지
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• 제23권3호
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• pp.18-27
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• 2015

Many studies have shown that having perception of spatial information is important for air traffic control officer (ATCO) since it helps them understand the current situation and predict the situation it leads to. However, little or no research has been done to investigate if there is any difference at the levels of expertise in perceiving spatial information and predicting a prospective situation. This study investigates the difference between expert and novice ATCO groups in how accurately each group of ATCO perceive spatial information such as position, altitude, speed, and flying direction, and predicting such information they will encounter shortly. In completing a task to watch the movement of airplanes displayed on the computer monitor as a blip, the participants were asked to predict the position, speed, and the altitude of the aircraft in a minute by marking on the sector map. The results show that the expert group performed better in accuracy and had tendency to overestimate on position and altitude; however, no significant difference was found between the two groups in terms of reading a flying direction. Therefore reading a flying direction may not be a reliable indicator to judge expertise of ATCO. But the expert group shows better predicting performance by perceiving spatial information such as airplane's position and altitude with feeling on time. The study suggests that it is important to enhance perceptive skills in ATCO training in improving their expertise in predicting accuracy traffic situation, preventing from air collision, and improving productivity for more efficient air traffic flow. A further study on the relationship between the perception of spatial information and the sense of time in predicting future information and effectiveness as an independent factor would contribute to providing more insights into expertise of ATCOs.

• 유통과학연구
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• 제15권1호
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• pp.83-93
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• 2017

Purpose - After the transition, the development of defense industry in Eastern Europe has been regressed. Recently, they have internationally recognized that new products have been exported and contributed to the Innovation-Based Manufacturing of national economy such as unmanned reconnaissance aircraft, water purification technology, and mobile chemical laboratory, etc. The military forces in Eastern Europe are re-armed by the localization of self-produced munitions in their own defense industry, and then emphasize fostering their own defense industry. Thus, if they make a collaboration with other nations as a industrial cluster, it will gain a competitive edge on the defense industry. Research design, data, and methodology - The study was designed with the data of each national defense department. The research of the subject was reviewed before and after the transition. Thousands of workers have worked in defense industries before the transition, however, the defense industry and experts left after the transition. The Hungarian defense spending on GDP also dropped sharply from 1.72% in 2000 to 0.85% in 2013. But, due to the crisis in Ukraine and the crisis of Syrian refugees, the Viségrad Group (V4) member countries have also increased their interest in a defense and industries as well as the confidence in the EU and NATO. Results - On the whole, the joint of military training and purchase of defense materials were found in order to form the EU cooperative combat troops in CEE. There are the implementation of a joint manual plan for strengthening V4 security policy and the joint military exercises for V4 every year, and the others are electronic warfare and innovation of V4 national forces. Through such a performance analysis methodology, we found that the defense industry is developed through the national cluster cooperation among CEEs and spreading global distribution. Conclusions - Eastern Europe and Balkan countries have been looking forward to cooperating with the non-EU countries such as Korea and other defense industries. There are a lot of potential development into a new civilian cooperation defense industry for global-distribution. Thus, Korea should develop electronic commercial applications, not just as a weapon exporting region.

• 항공우주시스템공학회지
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• 제10권4호
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• pp.98-104
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• 2016

본 연구에서는 대함탄도미사일(ASBM) 방어체계에 대한 기능요구사항을 도출한다. ASBM 방어체계의 기능요구사항은 대함탄도미사일의 위협특성에 의존한다. 최근 중국은 남한의 THAAD 배치에 대한 전략적 대응수단으로 대함탄도미사일인 DF-21D의 발사시험을 수행하였다. ASBM은 항공모함의 공격에 대한 반접근/거부(A2/AD) 전력의 주된 대응수단으로 사용된다. 북한과 중국의 미사일 기술커녁션을 고려할 때 북한은 ASBM을 개발할 가능성이 매우 높다. 이러한 관점에서 본 연구는 ASBM의 주된 대응수단이 될 수 있는 이지스함의 운용개념을 도출하고 전산도구인 QFD를 활용하여 기능요구사항을 도출하고자 한다.

• 한국지능시스템학회논문지
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• 제26권3호
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• pp.218-225
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• 2016

첨단과학기술의 집합체로서 비약적으로 발전한 항공기 성능과 나날이 고도화되어 가고 있는 군 작전 환경을 고려해 볼 때 이상적인 조종적성을 가지고 있는 인원을 선발하는 문제는 매우 중요하다. 또한 무위로 돌아갈 수밖에 없는 중도 탈락자의 손실비용과 항공사고의 대부분이 인적요인에 의해 발생하고 있다는 사실은 조종적성검사를 통한 인원선발이 왜 중요한지에 대한 좀 더 현실적인 이유가 될 것이다. 이에 본 연구에서는 한국 공군이 2004년 개선하여 조종사 선발에 사용하고 있는 조종적성검사 항목의 타당성을 다양한 분류모형을 통하여 분석하고 선택된 변수에 대한 의미와 향후 발전방향에 대하여 논의하였다. 그리고 광의의 적성검사 항목에 속하는 개인특성변수를 투입하여 분류모형을 구성함으로써 예측력을 높이는 연구를 수행하였다.

• Composites Research
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• 제31권4호
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• pp.145-150
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• 2018

항공우주산업에서 구조물의 수명연장과 경제적 측면에서의 효율적인 운용을 위해 다양한 구조건전성모니터링(Structural Health Monitoring, SHM) 기법들이 제시되어왔다. 금속재 구조물의 경우, 수분이나 염분 등에 의한 부식이나 쉽게 응력집중이 발생하는 타공, 노치, 볼트 등과 같은 위치에서의 균열이 주된 관심사였으나, 항공우주산업에서의 복합재 사용비율이 증가함에 따라 손상 메커니즘이 더욱 복잡한 복합재 구조물에 적용이 가능한 고도화된 SHM 시스템의 필요성이 강조되고 있다. 본 논문에서는 Q-switched 레이저와 다수의 압전센서를 이용한 복합재에서의 AE(Acoustic emission) 위치탐지 기법을 제시한다. 제시되는 기법은 10 mm 이내의 거리오차로 방출위치 탐지를 목표로 하며 복합재 구조에서 수행된 AE 모사실험 및 위치탐지 시도 결과를 제시하여 기법이 유효함을 증명한다.

• 한국산학기술학회논문지
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• 제15권2호
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• pp.735-744
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• 2014

본 연구에서는 자신 및 다른 사람의 정서를 인지하고 조절하며 활용할 수 있는 능력이라 정의되는 감성지능이 항공기라는 특수한 환경 속에서 근무하는 승무원들의 서비스품질 수행에 중요한 요인으로 판단되어 연구하였다. 더불어 감성지능이 직무만족과 조직충성도와 어떠한 영향을 미치는지 그 영향관계를 구체적으로 검증하고자 했다. 이에 본 연구에서 국내 K항공사 승무원들의 감성지능을 분석하고, 이것이 승무원들의 서비스품질 수행과 직무 만족도 및 조직 충성도와의 상관관계 분석을 통해 승무원 조직 내 특이성을 파악하여 서비스품질 향상과 기업 조직 강화를 위한 적절한 방안들을 제시하기 위한 초석을 마련하고자 한다. 본 연구의 결과를 보면 감성지능이 높으면 서비스품질의 업무수행을 잘 해서 직무만족을 높이는데 기여하며, 직무만족이 조직충성도에 긍정적인 영향을 주는 것이 아니고 오히려 감성능력이 조직충성도에 긍정적인 영향을 미친다는 것을 알 수 있다. 그러므로 항공사의 서비스품질 수행능력을 높일 뿐 만 아니라 근무에 대한 만족과 충성도를 높이기 위해서도 감성지능이 풍부한 직원을 뽑거나 지속적인 감성교육이 필요할 것이다.

• 한국안전학회지
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• 제36권5호
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• pp.43-51
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• 2021

Incident investigation is one of the most important processes among various other safety management methods to prevent industrial accidents. Finding the root causes of accidents, eliminating hazards, and improving safety are the most important purposes of investigating accidents. During the investigation process, root cause analysis (RCA) techniques are used to effectively identify RCA. Over the past few decades, over 30 RCA methods have been developed. These techniques are being widely used in some industries, such as the nuclear and aircraft industries; however, most of the RCA techniques require professional knowledge and special training, making it difficult for safety managers in their respective fields to understand and apply them. Therefore, managers of general industrial sites are rarely present at the scene of actual accident investigations, and they cannot contribute much to the purpose and effectiveness of these investigations. In this study, to address these issues, we developed an RCA technique to facilitate root cause investigation of accidents in real-world industrial sites. To develop new techniques, Systematic Cause Analysis Technique (SCAT), one of the RCA techniques, was used to investigate incidents in the enterprise over three years. We also utilized feature analysis and other papers from existing RCA techniques. To verify its effectiveness, the technique proposed was also applied to the accident case. The technique developed can easily identify and analyze the root cause of an accident and help industrial managers. It can also identify the root cause category where accidents are concentrated and use this data to establish guidelines for preventing future accidents and, thus, focus on prioritizing improvement initiatives.

• 한국융합학회논문지
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• 제11권12호
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• pp.147-153
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• 2020

본 연구는 최근 새로운 교통운송수단으로 관심이 높은 도심항공교통(UAM)과 개인용 비행체(PAV)의 실현화를 위해, 뒷받침되어야 하는 기본적 인프라구축에 대해 연구하였다. UAM과 PAV 기술 개발은 미래 부가가치가 높은 산업으로서 전세계가 경쟁적으로 추진하고 있는 분야이다. 그러나 이를 실현화하기 위해 가장 기본이 되는 3가지 사항은 항공인증체계의 정립, 기술력을 보유한 신뢰성 있는 부품생산 업체의 발굴, 그리고 전문 인력의 양성과 확보이다. 무엇보다 항공인증체계가 우선적으로 정립되고 이를 토대로 비행체 제작 등 새로운 교통운송수단의 도입이라는 정부의 정책적 목표 실현이 가능할 것이며, 적합성 및 합치성을 만족시키는 국제규격에 맞는 상용화 실현이 가능할 것이다. 또한 안정적이고 신뢰성 있는 부품생산업체의 발굴과 육성, 이를 지원하기 위한 전문인력의 양성과 안정적 공급을 위한 교육시스템 구축은 동 분야의 선도국가가 될 수 있는 해결해야 할 과제이다.

• 한국군사과학기술학회지
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• 제25권6호
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• pp.637-647
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• 2022

Since the concept of Manned-UnManned Teaming(MUM-T) and Unmanned Aircraft System(UAS) can efficiently respond to rapidly changing battle space, many studies are being conducted as key components of the mosaic warfare environment. In this paper, we propose a rule-based AI engagement model based on Basic Fighter Maneuver(BFM) capable of Within-Visual-Range(WVR) air-to-air combat and a simulation environment in which human pilots can participate. In order to develop a rule-based AI engagement model that can pilot a fighter with a 6-DOF dynamics model, tactical manuals and human pilot experience were configured as knowledge specifications and modeled as a behavior tree structure. Based on this, we improved the shortcomings of existing air combat models. The proposed model not only showed a 100 % winning rate in engagement with human pilots, but also visualized decision-making processes such as tactical situations and maneuvering behaviors in real time. We expect that the results of this research will serve as a basis for development of various AI-based engagement models and simulators for human pilot training and embedded software test platform for fighter.

• Structural Engineering and Mechanics
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• 제81권5호
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• pp.565-574
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• 2022

The infrastructures such as offshore, bridges, power plant, oil and gas piping and aircraft operate in a harsh environment during their service life. Structural integrity of engineering components used in these industries is paramount for the reliability and economics of operation. Two regression models based on the concept of Gaussian process regression (GPR) and Minimax probability machine regression (MPMR) were developed to predict stress intensity factor range (𝚫K). Both GPR and MPMR are in the frame work of probability distribution. Models were developed by using the fatigue crack growth data in MATLAB by appropriately modifying the tools. Fatigue crack growth experiments were carried out on Eccentrically-loaded Single Edge notch Tension (ESE(T)) specimens made of API 5L X65 Grade steel in inert and corrosive environments (2.0% and 3.5% NaCl). The experiments were carried out under constant amplitude cyclic loading with a stress ratio of 0.1 and 5.0 Hz frequency (inert environment), 0.5 Hz frequency (corrosive environment). Crack growth rate (da/dN) and stress intensity factor range (𝚫K) values were evaluated at incremental values of loading cycle and crack length. About 70 to 75% of the data has been used for training and the remaining for validation of the models. It is observed that the predicted SIF range is in good agreement with the corresponding experimental observations. Further, the performance of the models was assessed with several statistical parameters, namely, Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Coefficient of Efficiency (E), Root Mean Square Error to Observation's Standard Deviation Ratio (RSR), Normalized Mean Bias Error (NMBE), Performance Index (ρ) and Variance Account Factor (VAF).