• Proceedings of KOSOMES biannual meeting
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• 2007.05a
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• pp.203-210
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• 2007

This paper treats optimal route safety assessment system at seaway based on weather forecasting data through INMARSAT. Since early times, captain have been sailing to select the optimum route considering the weather, ship loading status condition and operational scheduling empirically. However, it is rare to find digitalized onboard route support system whereas weather facsimile or wave and swell chart are utilized for the officer, based on captain's experience. In this paper, optimal route safety assessment system which is composed of voyage efficiency and safety component is introduced. Optimum route minimized ETA(estimated time of arrival) and fuel consumption that shipping company. and captain are requiring to evaluate for efficient voyage considering speed loss and power increase based on wave added resistance of ship. In the view point of safety, seakeeping prediction is performed based on 3 dimensional panel method Basically, the weather forecast is assumed to be prepared previously in order to operate this system.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.11a
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• pp.278-280
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• 2000

본 논문에서는 경로계획 알고리즘으로 사용한 거리변환 경로곡선상에 중간경유점을 설정한후 이를 최적화시켜 각 이동로봇의 주행경로를 최적화 하였고, 로봇간의 우선 순위를 설정하여 원활한 충돌회피가 이루어지도록 하였으며, 각 로봇은 충돌회피 후에도 중간 경유점 까지 최단거리로의 주행이 이루어지도록 하였다. 또한 기존에 제시된 방법에 외길 입구에 경고 지점을 지정함으로써 외길에서의 상호충돌을 방지하는 효과를 주었다. 이로써 로봇간의 우선 순위의 설정으로 인하여 생기는 시간 지연을 해소시키는 효과를 가져올 수 있었다. 로봇간의 우선순위를 설정함에 있어서 또다른 변수를 추가시킴으로 로봇이외의 움직이는 장애물에 대해서도 고려하도록 하였다. 위와 같이, 본 논문에서는 여러대의 이동로봇을 고정된, 움직이는 장애물이 있는 환경하에서 장애물 회피시마다 최단경로로 주행하여 주어진 목표점까지 이동시키는 경로계획에 관하여 연구하였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.185-188
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• 2001

According as many people use a computer newly, damage of computer virus and hacking is rapidly increasing by the crucial users. To block hacking that is intrusion of a person's computer and the computer virus that destroys data, a study for intrusion-detection of system and virus detection using a biological immune system is in progress. In this paper, we make a model of positive selection and negative selection of self-recognition process that is ability of T-cytotoxic cell that plays an important part in biological immune system. So we embody a self-nonself distinction algorithm in computer. To prove the efficacy of self-recognition algorithm, we use simulations by a cell change and a string change of self file.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.227-228
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• 2015

질병 치료에 대한 패러다임이 과거 치료 위주에서 조기진단 및 예방의 개념으로 전환되고 있으며 진단용 마커와 단클론 항체 제작은 핵심 기술로 부각되고 있다. 현재까지의 항원결정부위(epitope) 예측은 단백질의 1차구조인 아미노산 배열 순서를 바탕으로 추출되어 진다. 하지만 항원결정부위는 수용성의 항체와 직접 결합하기 때문에 친수성 잔기가 차지하는 비율이 높아야 하며, 면역계가 쉽게 인지할 수 있도록 노출되어 있어야하고, 긴 선상의 폴리펩티드 단백질이 3차원 구조를 형성하기 위해 회전, 유연성 등이 요구된다. 따라서 한 가지 성질 중심으로 할 경우 오류가 나올 가능성이 있다. 이를 보완하기 위하여 본 연구에서는 친수성(hydrophilicity), 극성(polarity), 파묻힘성(buried residues), 접근성(accessibility), 회전성(${\beta}-turns$), 유연성(flexibility), 굴절성(refractivity) 등을 분석한 후 통합 예측시스템을 개발하였다. 이를 검증하기 위해 고양이 백혈병 바이러스의 항원결정부위를 예측해보았다.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.280-280
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• 2000

In this paper, we propose a method of constructing equation using bio-inspired emergent and evolutionary concepts. This method is algorithm that is based on the characteristics of the biological DNA and growth of plants. Here is. we propose a constructing method to make a DNA coding method for production rule of L-system. L-system is based on so-called the parallel rewriting mechanism. The DNA coding method has no limitation in expressing the production rule of L-system. Evolutionary algorithms motivated by Darwinian natural selection are population based searching methods and the high performance of which is highly dependent on the representation of solution space. In order to verify the effectiveness of our scheme, we apply it to one step ahead prediction of Mackey-Glass time series.

• Bulletin of the Society of Naval Architects of Korea
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• v.53 no.4
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• pp.27-34
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• 2016

현재 국내 대부분 조선소에서는 선박 외판 곡 가공 작업시 곡률이 작은 부재는 일반 낱개 형상의 목형 틀을, 선수 및 선미 구간 중 곡률이 큰 부재는 입체 형상의 목형 틀을 제작하여 선상 가열 작업 중 이를 참조하여 철판의 곡형을 생성한다. 이 중 입체형상의 목형 틀을 상형곡형이라고 한다. 이러한 상형곡형 제작정보를 생성하는 방법은 각 조선소마다 조금씩 다르기는 하지만 대부분이 수작업에 의해서 목형 제작정보를 생성한다. 현장 작업자가 선형도면을 직접 참조해서 작도 및 계산을 통하여 입체형상에 대한 각각의 정보를 수작업으로 산출하거나 또는 설계 작업자가 입체형상 구성에 필요한 모든 단면을 개별적으로 모델링하여 제작정보를 현장에 제공한다. 이 과정에서 작업 공수가 과다 소요되며 수작업에 의한 제작정보 오류가 종종 발생하여 외판 곡 가공 공정에 문제가 발생하기도 한다. 그렇기 때문에 본 연구에서는 상형곡형 제작에 필요한 생산 정보를 설계 작업자 또는 현장 작업자 어느 누구라도 쉽고 간단하게 산출할 수 있도록 생산지원 시스템을 개발하였다. 이로 인해 상형곡형 제작이 필요한 외판부재의 경우 즉시 제작정보를 산출하여 제작하도록 함으로써 작업시간을 비약적으로 절감이 가능하게 될 것이다.

• Journal of the Society of Naval Architects of Korea
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• v.33 no.3
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• pp.81-93
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• 1996

In this paper reviewed are the past studies on the plate forming and introduced is the computer aided marking data generation system which should precede the automation system for plate forming by line heating method. The developed computer aided marking data generation system has been applied to a real surface which is frequently found in the bow and the stern area of a ship. From its application results, the estimated surface by the present marking data generation system is very close to the given surface and the generated marking data also shows reasonably good agreement with those in the real practice in ship yard at present. shows very good agreement. When the marking data generation system has been complemented through more applications to real surface models, then it can be practically used in the real practice in ship yard.

• Geophysics and Geophysical Exploration
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• v.13 no.1
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• pp.88-95
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• 2010

An airborne gravity survey using a helicopter was carried out in October 2008, offshore along the northern Noto Peninsula, to understand the shallow and regional underground structure. Eleven flight lines, including three tie lines, were arranged at 2 km spacing within 20 km of the coast. The total length of the flight lines was ~700 km. The Bouguer anomalies computed from the airborne gravimetry are consistent with those computed from land and shipborne gravimetry, which gradually decrease in the offshore direction. So, the accuracy of the airborne system is considered to be adequate. A local gravity low in Wajima Bay, which was already known from seafloor gravimetry, was also observed. This suggests that the airborne system has a structural resolution of ~2 km. Reduction of gravity data to a common datum was conducted by compiling the three kinds of gravity data, from airborne, shipborne, and land surveys. In the present study, we have used a solid angle numerical integration method and an iteration method. We finally calculated the gravity anomalies at 300 m above sea level. We needed to add corrections of 2.5 mGals in order to compile the airborne and shipborne gravity data smoothly, so the accuracy of the Bouguer anomaly map is considered to be nearly 2 mGal on the whole, and 5 mGals at worst in limited or local areas.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4381-4387
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• 2015

Ship hull is a compound curved shape and most of shipyards have been using gas heating method for the surface forming of steel plate. This traditional forming process have problems such as difficulties in heat input control and poor working conditions due to loud noise and air contamination. Recently, researches on automatic hull forming system have been conducted using high frequency induction heating method which have good control ability and favorable working environment. In this study, the induction heating simulation system for curved surface forming of steel plate was developed and induction heating experiments were performed. Based on the results of this study, efficient induction heating coil design and optimal heating conditions for the automatic hull forming system can be obtained.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.12
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• pp.1079-1085
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• 2000

In this paper, we propose a method of cooperative control (T-cell modeling) and selection of group behavior strategy (B-cell modeling) based on immune system in distributed autonomous robotic system (DARS). An immune system is the living bodys self-protection and self-maintenance system. these features can be applied to decision making of the optimal swarm behavior in a dynamically changing environment. For applying immune system to DARS, a robot is regarded as a B-cell, each environmental condition as an antigen, a behavior strategy as an antibody, and control parameter as a T-cell, respectively. When the environmental condition (antigen) changes, a robot selects an appropriate behavior strategy (antibody). And its behavior strategy is stimulated and suppressed by other robots using communication (immune network). Finally, much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and immune network hypothesis, and it is used for decision making of the optimal swarm strategy. Adaptation ability of the robot is enhanced by adding T-cell model as a control parameter in dynamic environments.