• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.10a
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• pp.194-196
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• 2010

'09. 12. 4 인천항 갑문 앞 충돌사건 이후 유사사고 발생 재발 방지를 위하여 여러 가지 대책을 수립하여 시행해오고 있다. 그 중에서도 관제사의 동시다발적 관제에 따른 관제공백 발생 최소화를 위한 방안 모색이 중심과제라 할 것이다. 현장 실사를 통해서 인천항 이용 선박의 항해통신 장비 현황과 항행정보 요구 수준을 먼저 알아보았다. 본 연구에서는 AIS의 TEXT MESSAGE를 기반으로 한 자동정보시스템을 이용하여 VTS가 선박운항자에게 적시적소에 항만운영정보 및 항행안전정보를 제공하는 방안을 검토하였다.

• Journal of Advanced Navigation Technology
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• v.14 no.5
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• pp.618-624
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• 2010

This paper address the problem of tracking multiple objects encountered in many situations in developing condensation algorithms. The difficulty lies on the fact that the implementation of condensation algorithm is not easy for the general users. We propose an automatic code generation program for condensation algorithm using MATLAB tool. It will help for general user who is not familiar with condensation algorithm to apply easily for real system. The merit of this program is that a that a general industrial engineer can easily simulate the designed system and confirm the its performance on the fly.

• Journal of Korea Ship Safrty Technology Authority
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• v.4
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• pp.16-21
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• 2000

• Journal of Korea Ship Safrty Technology Authority
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• v.3
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• pp.14-25
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• 1999

• The Journal of the Acoustical Society of Korea
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• v.39 no.4
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• pp.279-285
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• 2020

The study on the temporal and spatial monitoring of passing vessels is important in terms of protection and management the marine ecosystem in the coastal area. In this paper, we propose the automatic detection technique of passing vessel by utilizing an artificial intelligence technology and broadband striation patterns which are characteristic of broadband noise radiated by passing vessel. Acoustic measurements to collect underwater noise spectrum images and ship navigation information were conducted in the southern region of Jeju Island in South Korea for 12 days (2016.07.15-07.26). And the convolution neural network model is optimized through learning and validation processes based on the collected images. The automatic detection performance of passing vessel is evaluated by precision (0.936), recall (0.830), average precision (0.824), and accuracy (0.949). In conclusion, the possibility of the automatic detection technique of passing vessel is confirmed by using an artificial intelligence technology, and a future study is proposed from the results of this study.

• Journal of Advanced Navigation Technology
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• v.24 no.6
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• pp.515-520
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• 2020

The development of autopilot system and flight management system (FMS) equipment in today's aircraft navigation can be attributed to the reduction of pilots' workload and the navigation safety. The effect of autopilot and FMS equipment is greater, especially in heavy airport traffic or complicated of the departure. However, some airport specific departure procedures result in an uncommanded turn event due to an error in the FMS, causing aircraft to deviate from the center line of the route. With most departure procedures requiring area navigation (RNAV) operation, pilot situation awareness and corrective action are the only ways to minimize aircraft deviation to maintain the safety of area navigation. Through analysis of the occurrence status of the uncommended turn event by aircraft type, airport and flight phase, and comparative analysis of the survey results of foreign airlines and the airlines self-reduction plan with the aircraft manufacturer's corrective action, it is intended to give implications for the need for more fundamental measures to prevent recurrence of such events.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.06a
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• pp.362-364
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• 2011

자동조타장치에 의한 조선을 행할 시, 선박의 정침성은 Autopilot의 P와 D값 설정에 따라 많은 영향을 받게 된다. 이 값들은 선종별로 외력에 따라 조정되어야 한다. 이 연구에서는 바람에 의해 가장 많이 영향을 받는 자동차운반선(Pure Car Carrier, PCC)을 대상으로 하여, 풍압력하에서 자동조타시 P와 D치의 적정 설정값을 알아 보았다. 이를 위하여 대상 선박을 저속항행하는 시뮬레이션을 실시하였고, 각 P-D 설정값에 따른 최대 횡이동거리, 횡이동시간 그리고 주어진 침로로 복귀하는데 걸린 시간을 비교하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.06a
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• pp.98-100
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• 2011

울산항은 입출항 선박의 항행안전을 위해 1996년 9월부터 해상교통관제실(VTS)을 설치운영하고 있으나 많은 물동량으로 빈번한 선박통항과 액화가스, 케미컬 등의 위험화물운송선박의 통항 등의 여러 가지 위험요소가 상존하고 있는 개항장이다. 특히 현대 미포조선소와 인근에 산재해 있는 중소 조선소 등에서 발생되고 있는 선박 조립용 블록을 운송하는 예 부선들의 빈번한 운항은 울산항의 안전한 물류유통에 많은 어려움을 야기하고 있는 실정이다. 한편 울산항 해상교통관제실에서는 레이더사이트의 운항선박에 대한 데이터, PORT-MIS의 선박관련 데이터 및 최근 선박자동식별장치(AIS)의 데이터 등 많은 정보들에 의해 운항 선박들의 항행 안전을 도모하고 있다. 따라서 본 연구에서는 선박 조립용 블록을 주로 운송하는 울산항의 (주)보성해상개발에서 TRS를 이용한 자체 운항관리실을 운용하여 운송효율과 안전운항을 노력하고 있는 상황과 그 결과 울산항 해상교통관제에 미치는 효과에 대해 분석하여 그 효율성을 나타내었다.

• Journal of Advanced Navigation Technology
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• v.8 no.1
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• pp.19-26
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• 2004

This paper deals with the automatic flight control system for an unmanned target drone which is operated by an army as an anti-air gun shooting training. By automation of unmanned target drone that is manually operated by external pilot, pilot can reduce workload and an army can reduce the budget. Most UAVs which are developed until today use high-cost sensors as AHRS and IMU to measure the attitude, but those are contradictory for the reduction of budget. This paper says the development of low-cost automatic flight control system which makes possible of automatic flight with low-cost sensors. We have developed the integrated automatic flight control system by integrating electricity module, switching module, monitoring module and RC receiver as an one module. We also prove the performance of automatic flight control system by flight test.

• Journal of Advanced Navigation Technology
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• v.15 no.1
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• pp.91-96
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• 2011

In this paper, we design and implement a automatic control system of wireless sensor network based sprayer for hog barns. The proposed control system is driven by events from sensor nodes. It gathers various sensor readings such as temperature, humid, water level and water temperature, and controls the sprayer in real time by analyzing the sensor readings. Through experiments, we show that the proposed control system manages temperature and humidity steadily. Our proposed system enhances the existing system about 33% for temperature management and 37.3% for humidity management.