• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.330-336
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• 2020

An anti-collision system between equipment is essential on a drill floor where multiple moving machines are operated simultaneously. This is to prevent accidents by halting the machines when required, by inspecting possibility of a collision based on the relative position data sent by the equipment. In this paper, we propose a framework for an Anti-Collision System (ACS) by considering expandability of the number of machines and computational speed, to promote development of drilling machines and corresponding ACS software. Each drilling equipment is represented as an object in the software with its own message format, and the message is constructed with serialization/deserialization to manage any additional equipment or data. The data handling process receives the current status of machines from the drilling control network, and relays a collision related message (including bypass signal) back to the machines. A commercial visualization software shows the bounding boxes moving with the equipment and indicates probable collision. It has been determined that the proposed system maintains total execution time below 5ms to process data from the network and relay the information hence, the system has no effect on the machine control systems having 100ms control cycle.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.2
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• pp.238-246
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• 2021

Collision of small vessels such as fishing boats cause great personal injury. Prior to this study, the collision prevention algorithm was developed to assess the collision risk and make the collision alarm. However, a service provided for safety, such as a collision warning, not only prevents risks, but also requires a certain degree of user satisfaction to function effectively. In this study, the collision prevention algorithm for small vessels was improved to be more practical, and the effects of the improvement were confirmed by applying the algorithm. A survey conducted on the users of the collision warning service confirmed the user requirements for improving the accuracy of the collision warning system and reducing the volume and number of alarms. Accordingly, the algorithm was improved for user satisfaction, and the actual vessel experiment was performed applying the improved algorithm in an actual maritime environment. As a result, the frequency of alarm occurrence decreased compared to former algorithm, but the alarm was relatively steadily generated in dangerous situations. It was analyzed that the accuracy and practicality of the collision alarm were improved. If the practicality and reliability of the improved algorithm are verified in the further study, it will be able to effectively contribute to the prevention of collisions of small vessels.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.10a
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• pp.289-291
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• 2013

건물일체형풍력시스템에서는 윈드가이드를 비롯한 주면 형상이 풍력터빈 주변의 풍속 등과 같은 유동특성에 중요한 영향을 미친다. 이 연구에서는 sech 함수를 이용한 새로운 충돌위험도 평가법에서 피항구역의 문턱값을 결정하는 방법을 분석하고 실제 상황에 적용 가능한 식을 개발하였다.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.11a
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• pp.444-444
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• 2004

• Journal of the Korea Society of Computer and Information
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• v.11 no.1 s.39
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• pp.185-194
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• 2006

The ubiquitous computing environment focuses on recognizing the context and Physical entities, whereas, previous computing environments mainly focused on the conversational interactions between the computer and the user. For this reason, there has been an increase in the research of context aware computing environments. In previous researches , context services are designed using context ontology used in context aware middleware. So, context service cannot change the context ontology in execution time. We propose a hierarchical context ontology management for context aware service to change their ontology in execution time. And we also a resolution model for context conflict which is occurred in inference of context. We have designed a middleware based on this model and implemented the middleware. As the middleware is implemented on the OSGi framework, it can cause interoperability among devices such as computers, PDAs, home appliances and sensors. It can also support the development and operation of context aware services, which are required in the ubiquitous computing environment.

• Journal of Navigation and Port Research
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• v.32 no.1
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• pp.103-108
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• 2008

In the maritime universities, cadets of deck part should practice on board training using training ships of university or merchant vessels of company for 1 year according to STCW Convention. For training period, trainees are educated many education items as to positioning ability, chart work ability, vessel operation ability and cargo operation ability etc. Among many abilities, vessel avoiding ability which is demanded as a basic ability for deck officer can't be gained easily, because avoiding maneuver of ship controlled by cadets is not allowable regally and encounter situations occur randomly. This paper investigated CPA to the various encounter types with other vessels during the ocean going navigation of T.S Hannara. We analysis danger degree per each encounter type, and proposed a basic material of efficient training education about proper look-out and avoiding maneuver.

• Annual Conference of KIPS
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• 2024.10a
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• pp.131-132
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• 2024

가파른 경제 성장과 인구 증가로 인해 대한민국은 주차 공간이나 도로 상황에 비하여 개인용 자가용의 증가 추이가 급속하게 진행되었다. 그리고 낮은 운전면허 난이도, 적은 취득 비용 등에 의해 2022년 기준 총 자동차 등록수는 약 2,550만대를, 운전면허 소지자는 3410만명을 넘어섰다 [1, 2]. 빈약한 인프라에 비해 넘쳐나는 차량으로 출퇴근 시간 잦은 정체가 발생하고 교통사고도 잇따라 증가하였다. 산악 지형에 따라 곡선 형태의 도로가 많고, 교차로가 많이 생기는데 이러한 교차로에서 가장 사고가 많이 발생한다. 교차로에서 일어난 교통사고의 원인으로는 차선 침범, 불법 주정차로 인한 보행자와의 충돌 등이 있다 [3, 4]. 본 연구는 혼잡한 교통상황에 기인하여 발생하는 사고를 방지하기 위하여, 교차로에서 차선 침범 방지를 목적으로 LED 조명 유도를 구성하고, 주야간 운전에 불편함이 없도록 LED 밝기 자동조절 기능을 구성하였다. 이러한 기능으로 교차로 접촉 사고를 줄일 수 있다고 기대하며, 정지선 침범으로 인한 보행자 횡단의 불편함, 우회전시 보행자 충돌 등 빈번한 사고를 막는 수단이 될 수 있을 것이다.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.4
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• pp.392-397
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• 2014

Recently, there are many researches on active safety system of intelligent vehicle. To reduce the probability of collision caused by driver's inattention and mistakes, the active safety system gives warning or controls the vehicle toward avoiding collision. For the purpose, it is necessary to recognize and analyze circumstances around. In this paper, we will treat the problem about collision risk assessment. In general, it is difficult to calculate the collision risk before it happens. To consider the uncertainty of the situation, Monte Carlo simulation can be employed. However it takes long computation time and is not suitable for practice. In this paper, we apply neural networks to solve this problem. It efficiently computes the unseen data by training the results of Monte Carlo simulation. Furthermore, we propose the features affects the performance of the assessment. The proposed algorithm is verified by applications in various crash scenarios.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.5
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• pp.447-454
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• 2017

Using two large coast guard ships at sea, we created four encounter situations ($000^{\circ}$, $045^{\circ}$, $090^{\circ}$, $135^{\circ}$) with high possibility of collision, from 3 NM up to 0.25 NM. As relative distance was gradually decreased, the subjects were measured at 0.25 NM intervals and perceived ship collision risk (PSCR) was determined by looking at the opponent ship. Characteristics were statistically analyzed using the obtained data. The purpose of this study was to analyze the characteristics of collision risk values obtained from twelve intervals, from 3 NM to 0.25 NM relative to encounter situations by curve fitting with appropriate polynomials, to determine the distance from which the change in perceived collision risk is greatest. As a result, an optimal regression equation for each distance interval was derived from each analysis direction. The greatest variation in average collision risk value was over the range 1.25 ~ 1 NM, and the collision risk value was largest at 1 NM. The maximum change in perceived collision risk was at 1 NM. These results can contribute to preventive guidelines to minimize human error in close proximity situations with a high probability of ship collision.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.5
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• pp.551-560
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• 2020

Recently, the offshore wind power generator market is expected to grow significantly because of increased energy demand, reduced dependence on fossil fuel-based power generation, and environmental regulations. Consequently, wind power generation is increasing worldwide, and several attempts have been made to utilize offshore wind power. Norway's Petroleum Safety Authority (PSA) requires a leg-structure design with a collision energy of 35 MJ owing to the event of a collision under operation conditions. In this study, the results of the numerical analysis of a wind turbine installation vessel subjected to ship collision were set such that the maximum collision energy that the leg could sustain was calculated and compared with the PSA requirements. The current leg design plan does not satisfy the required value of 35 MJ, and it is necessary to increase the section modulus by more than 200 % to satisfy the regulations, which is unfeasible in realistic leg design. Therefore, a collision energy standard based on a reasonable collision scenario should be established.