• 한국항해항만학회지
• /
• 제33권4호
• /
• pp.271-275
• /
• 2009

A strategic decision making on location selection for product transportation includes many tangible and untangible factors. To choose the best locations is a difficult job in the sense that objectives usually conflict with each other. In this paper, we consider a multi stage multi criteria transshipment problem with different types of items to be transported from the sources to the destination points. For the optimization of the problem, a goal programming formulation will be presented in which the location selection for each product type will be determined under the multi objective criteria. In the study, we generalize the transshipment model with a variety of product types and finite number of different intermediate nodes between origins and destinations. For the selection of the criteria we selected the costs(fixed cost and transportation cost), location numbers, and unsatisfied demand for each type of products in multi stage transportation, which are the main goals in transshipment modelling problems. The related conditions are also modelled through linear formats.

• 한국항해항만학회:학술대회논문집
• /
• 한국항해항만학회 2011년도 추계학술대회
• /
• pp.19-20
• /
• 2011

This paper compares the English language programs of two maritime institutes in very different parts of the world, South Korea and Belgium. It will show that although both institutes comply with the minimum standard set by the STCW Code issued by the IMO, requirements for entry and graduation can vary greatly. Method of class delivery, choice of learning tools and testing systems will also be examined to illustrate these differences. It will also shown that in order to train new seafarers in the best possible ways that will fulfill the IMO mandate of Safer Shipping and Cleaner Oceans, examination of course curriculum at any maritime institute should be an ongoing process so that cadets are encouraged to communicate in a targeted, efficient and professional way within a nautical context.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2007년도 춘계학술대회 논문집
• /
• pp.947-952
• /
• 2007

EU is in the process of developing a new european global navigation satellite system - Galileo project - which technologies and capitals from member states of EU are put into, after determining to set up a separate GPS against that of US late in the 1990s. Galileo system is commercial global navigation satellite system, which allows other else nations outside of EU to participate in system development and operation, different from GPS. Korea also decided to join in the project on February in 2005. Galileo system provide 5 Services - Open Service, Safety of Life, Commercial Service, Public Regulated Service, Search and Rescue Service, and especially it can be applicable to safety-critical areas, and is to provide its part of services certified. In this paper, we are to compare the services of Galileo system, and to present necessary factors to be considered, and the applicability to use the Galileo system in safety-critical application areas, such as train control system

• 한국항해항만학회:학술대회논문집
• /
• 한국항해항만학회 2006년도 Asia Navigation Conference
• /
• pp.176-183
• /
• 2006

A novel intelligent anti-collision decision-making supporting system is addressed in this paper. To obtain precise anti-collision information capability, an innovative neurofuzzy network is proposed and applied. A fuzzy set interpretation is incorporated into the network design to handle imprecise information. A neural network architecture is used to train the parameters of the Fuzzy Inference System (FIS). The learning process is based on a hybrid learning algorithm and off-line training data. The training data are obtained by trial manoeuvre. This neurofuzzy network can be considered to be a self-learning system with the ability to learn new information adaptively without forgetting old knowledge. This supporting system can decrease ship operators' burden to deal with bridge data and help them to make a precise anti-collision decision.

• 한국항해항만학회지
• /
• 제29권4호
• /
• pp.299-304
• /
• 2005

A simulation system is needed to train students and mariners in order that they can take suitable actions to evade typhoon's strike promptly and sufficiently. In order to make such kind of system, three kinds of models about the typhoon are necessary, typhoon prediction model to generate typhoon's track, wind & wave-field model to make sea conditions around the typhoon and evaluation model of trainee's action whether their actions were suitable or not during simulation. We have developed the prediction and wind & wave-field models of typhoon, but the evaluation model has not been developed yet. In this paper, after making a method for evaluating trainee's actions by seakeeping performance, we propose an typhoon avoidance simulation system for training mariners so that they can promote their abilities to evade the typhoons at sea.

• 대한임베디드공학회논문지
• /
• 제19권3호
• /
• pp.131-139
• /
• 2024

Crew Transfer Vessels (CTVs) are primarily used for the maintenance of offshore wind farms. Despite being manually operated by professional captains and crew, collisions with other ships and marine structures still occur. To prevent this, the introduction of autonomous navigation systems to CTVs is necessary. In this study, research on the obstacle avoidance system of the autonomous navigation system for CTVs was conducted. In particular, research on obstacle avoidance simulation for CTVs using deep reinforcement learning was carried out, taking into account the currents and wind loads in offshore wind farms. For this purpose, 3 degrees of freedom ship maneuvering modeling for CTVs considering the currents and wind loads in offshore wind farms was performed, and a simulation environment for offshore wind farms was implemented to train and test the deep reinforcement learning agent. Specifically, this study conducted research on obstacle avoidance maneuvers using MATD3 within deep reinforcement learning, and as a result, it was confirmed that the model, which underwent training over 10,000 episodes, could successfully avoid both static and moving obstacles. This confirms the conclusion that the application of the methods proposed in this study can successfully facilitate obstacle avoidance for autonomous navigation CTVs within offshore wind farms.

• 한국ITS학회 논문지
• /
• 제18권1호
• /
• pp.43-55
• /
• 2019

스마트폰 기반 길안내 애플리케이션은 일상생활에서 매우 유용하다. 또한 비용 효율적이고 사용자 친화적인 내비게이션은 많은 고객을 유치할 수 있다. 하지만 스마트폰을 사용하여 지하철 역사와 같은 지하공간에서 정확한 내비게이션을 제공하는 것은 여전히 어려운 과제이다. 방문객이 지하공간에서 필요할 때마다 언제 어디서나 스마트 폰으로 길 안내를 제공받을 수 있다면 더 편리한 모빌리티 서비스를 제공할 수 있다. 본 연구는 지하철을 이용하는 고객에게 출입구에서 열차 플랫폼까지의 길 안내 시스템을 개발하고 있다. 경로탐색은 새로 제안한 QR 마커와 증강현실(AR)을 적용하여 스마트폰의 광학적 툴로 위치정보를 파악하여 경로안내 정보를 실내 지도 없이 제공하는 비용 효율적인 스마트 폰 알고리즘에 해당한다. 또한 이 알고리즘은 교통약자들에게 별도의 Barrier Free 경로로 안내하는 모듈도 제공하고 있다.

• 한국군사과학기술학회지
• /
• 제9권4호
• /
• pp.71-80
• /
• 2006

Strapdown Inertial navigation systems consist of an inertial sensor assembly(ISA), electronic modules to process sensor data, and a navigation computer to calculate attitude, velocity and position. In the ISA, most gryoscopes such as RLGs and FOGs, have digital output, but typical accelerometers use current as an analog output. For a high precision inertial navigation system, sufficient stability and resolution of the accelerometer board converting the analog accelerometer output into digital data needs to be guaranteed. To achieve this precision, the asymmetric error and A/D reset scale error of the accelerometer board must be properly compensated. If the relation between the acceleration error and the errors of boards are exactly known, the compensation and estimation techniques for the errors may be well developed. However, the A/D Reset scale error consists of a pulse-train type term with a period inversely proportional to an input acceleration additional to a proportional term, which makes it difficult to estimate. In this paper, the effects on the acceleration output for auto-pilot situations and the effects of A/D reset scale errors during horizontal alignment are qualitatively analyzed. The result can be applied to the development of the real-time compensation technique for A/D reset scale error and the derivation of the design parameters for accelerometer board.

• 한국항해항만학회지
• /
• 제38권4호
• /
• pp.421-427
• /
• 2014

In order to protect coastal facilities mainly from wave and current actions, the self-locking eco blocks constituting elements of protecting shore structures against scouring were designed. These blocks are adapted to the sloping bottom, coastal dunes, and submerged coastal pipelines, counteracting the destructive and erosive impulse action. A series of laboratory experiments has been conducted to investigate the reflection of water waves over and against a train of protruded or submerged shore structures and compare the reflecting capabilities of incident waves including wave forces. In this study the hydraulic model experiment was conducted to identify the performance of newly designed water affinity eco blocks to keep the coast slope and bottom mound from scouring by reduction of the wave reflection and to convince stability of the block placement. Revised design of each block element was also tested for field conditions. From the result of experiments, the field applicability of the developed blocks and placement was discussed afterward.

• International Journal of Naval Architecture and Ocean Engineering
• /
• 제10권3호
• /
• pp.235-249
• /
• 2018

The Artificial Neural Network (ANN) model has been known as one of the most effective theories for automatic ship berthing, as it has learning ability and mimics the actions of the human brain when performing the stages of ship berthing. However, existing ANN controllers can only bring a ship into a berth in a certain port, where the inputs of the ANN are the same as those of the teaching data. This means that those ANN controllers must be retrained when the ship arrives to a new port, which is time-consuming and costly. In this research, by using the head-up coordinate system, which includes the relative bearing and distance from the ship to the berth, a novel ANN controller is proposed to automatically control the ship into the berth in different ports without retraining the ANN structure. Numerical simulations were performed to verify the effectiveness of the proposed controller. First, teaching data were created in the original port to train the neural network; then, the controller was tested for automatic berthing in other ports, where the initial conditions of the inputs in the head-up coordinate system were similar to those of the teaching data in the original port. The results showed that the proposed controller has good performance for ship berthing in ports.