• Title/Summary/Keyword: Naval ship information system

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Comparison and Analysis of Fuel Consumption by CODAD, CODLOD and CODLAD System for Combat Support Ship (군수지원함의 CODAD, CODLOD 및 CODLAD 추진체계에 따른 연료 소비량 비교 및 분석)

  • Kim, Min-wook;Oh, Jin-seok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.5
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    • pp.1049-1059
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    • 2017
  • After patrol corvett Cheonan was hit and sank on duty, the Republic of Korea Navy has tried to install hybrid propulsion system on naval ship to reduce vibration and noise problems during navigation. The hybrid propulsion system has advantage that propulsion motor can be propelled in low speed operation of the vessel. This can be a better quietness than a mechanical propulsion system which consists of a conventional internal combustion engines. And more economical operation is possible by using a propulsion motor in a low speed operation where a fuel efficiency of the internal combustion engine is poor. In this paper, we set up virtual ship on the basis of a combat support ship in the Republic of Korea Navy, economically compared and analyzed fuel consumption between conventional and hybrid propulsion system. As a result, it was confirmed that the fuel efficiency of hybrid propulsion system which use electric motor had been relatively improved.

A Development of Neurofuzzy System for a Conceptual Design of Ship (선박의 개념 설계 지원용 뉴로 퍼지 시스템 개발)

  • Soo-Young Kim;Hyun-Cheol Kim
    • Journal of the Society of Naval Architects of Korea
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    • v.35 no.3
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    • pp.79-87
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    • 1998
  • The purpose of this paper is to develope a neurofuzzy system for a ship design which can determine efficiently design values e.g. principal dimensions and hull factors in a conceptual design. The neurofuzzy system for a ship design(NeFHull) applies a information about given input-output data to fuzzy theories and deals these fuzzificated values with neural networks, e.g. first, redefines normalized input-output data ad membership functions and then executes these fuzzficated information with backpropagation neural networks. We use a hybrid learning algorithm in the training of neural networks and examine the usefulness of suggested method through mathematical and mechanical examples.

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The Implementation Method of CIMS for Ship Manufacturing using STEP (STEP에 의한 조선 통합 생산 시스템(CIMS) 구현 방법)

  • S.B. Yoo;J.W. Lee;Y.M. Jeong;D.Y. Yoon;H.J. Kim
    • Journal of the Society of Naval Architects of Korea
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    • v.31 no.3
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    • pp.38-46
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    • 1994
  • The role of CIMS(Computer Integrated Manufacturing Systems) is to integrate various applications throughout a product's life cycle. STEP is an international effort to standardize information models and interfaces so that independently developed applications can be easily integrated. A prototype for the Ship CIMS is built using STEP. In this prototype, the information model defined by EXPRESS is translated into database schemas. In this paper, we explain the operation of this prototype using the examples from two application programs, i.e., the Block Division System and the Erection System which are used for the process planning of ship manufacturing. As an example. Real data stored in a relational database system(Oracle) is presented in this paper.

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Resistance Performance Simulation of Simple Ship Hull Using Graph Neural Network (그래프 신경망을 이용한 단순 선박 선형의 저항성능 시뮬레이션)

  • TaeWon, Park;Inseob, Kim;Hoon, Lee;Dong-Woo, Park
    • Journal of the Society of Naval Architects of Korea
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    • v.59 no.6
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    • pp.393-399
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    • 2022
  • During the ship hull design process, resistance performance estimation is generally calculated by simulation using computational fluid dynamics. Since such hull resistance performance simulation requires a lot of time and computation resources, the time taken for simulation is reduced by CPU clusters having more than tens of cores in order to complete the hull design within the required deadline of the ship owner. In this paper, we propose a method for estimating resistance performance of ship hull by simulation using a graph neural network. This method converts the 3D geometric information of the hull mesh and the physical quantity of the surface into a mathematical graph, and is implemented as a deep learning model that predicts the future simulation state from the input state. The method proposed in the resistance performance experiment of simple hull showed an average error of about 3.5 % throughout the simulation.

A Framework for Container Stowage Information Exchange Between Ships and Harbors Using RFID and Web Services (RFID 와 웹서비스를 이용한 선박과 항구 간의 선적정보 교환 프레임워크)

  • Kim, Ik-June;Han, Soon-Hung;Paik, Bu-Geun
    • Journal of the Society of Naval Architects of Korea
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    • v.46 no.5
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    • pp.520-526
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    • 2009
  • Efficient stowage plan is required for handling large number of containers in a container terminal. Before a ship enters port, most of container terminals prepare a stowage plan based on information received from the shipping company. If this information does not have the accurate information of containers in the vessel, the stowage plan might be often changed or sometimes it becomes useless. In order to avoid this problem, we apply RFID system in the container ship and we propose a framework for communication between ships and terminals using RFID and Web Services technology.

Conceptual Design of Product & Asset Lifecycle Management System for Marine Structures During Middle of Life (선박해양구조물의 유지보수 단계 수명주기관리 정보 시스템의 개념 설계와 구현)

  • Kim, Seung-Hyun;Lee, Jang-Hyun;Son, Gum-Jun;Han, Eun-Jung
    • Journal of Ocean Engineering and Technology
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    • v.26 no.2
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    • pp.58-67
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    • 2012
  • Recently, both the integration of product data during design and production and the effective management of information during full lifecycles have attracted attention from shipyards and ship owners as a result of recycling regulations and a desire for efficient operations. Generally, PLM (Product Lifecycle Management) supports a collaborative environment during the BOL (Beginning of Life) stage, while an ALM (Asset Lifecycle Management) system provides all of the information required to maintain, overhaul, and discard/recycle all or part of a vessel during the MOL (Middle of Life) and EOL (End of Life) stages. The main goal of this paper is to suggest the fundamental configuration of a PALM (Product Asset Lifecylce Management) system and a method that can be used to utilize a marine vessel's lifecycle information during the MOL, emphasizing the maintenance information during the middle of life. The authors also suggest a PALM system configuration in which lifecycle information can be collected by a PEID (Product Embedded Information Device) integrating a microcomputer, sensors, and wireless network communication. Through a prototype PALM system, the suggested features and PALM system configuration are implemented.

New Scheme for Intelligent Voyage Data Recorder Analysis System and Development of Visualization Module of the VDR (지능형 항해정보기록 분석 시스템 설계 및 가시화 모듈 개발)

  • Hwang, Il-Kyu;Lee, Kyung-Ho;Han, Young-Soo
    • Journal of Ocean Engineering and Technology
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    • v.22 no.5
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    • pp.126-131
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    • 2008
  • The voyage data is very important for safety of ships, and duty being effectuated by the installation of voyage data record (VDR) on ships. VDR is a black-box, and it contains 14 kinds of voyage data as text. But it is not easy to understand when the accident happened because voyage data is saved as complicated texts. User interface (UI), analysis, visualization system, which works for assist to gather information about situation of accident, was developed. It will be possible to develop onboard ship monitoring and voyage prediction system by the VDR visualization system's development in near future.

A Study on Operation Concept of Naval Surface to Air Defense System with Complex Assets (함대공 방어체계 복합자산 운용개념 연구)

  • Taegu Kim;Woongjae Na;Seoyeon Yang;Yeojin Park;Donghyuk Shim;Da-Bin Ryu;Nahae Yun;In-Chul Park;Lae-Eun Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.4
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    • pp.190-198
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    • 2023
  • The purpose of this study was to propose an operational concept for a ship in a fleet equipped with an interceptor missile system, a naval surface to air defense system, and to develop a simulation program that reflects it. The results of the defense activities of other ships in the fleet can be reflected by receiving information about the status of the enemy missiles. The allocation of defensive assets is based on the survival probability of the ship, not on the destruction of enemy attacks, which can be obtained as the product of the expected survival probability for each enemy missile. In addition, the concept of predicted survivability was introduced to assess the loss of future defense opportunities that would result from assigning a new command. A simulation program was also developed as a tool for realizing the proposed concept of operations, which generated cases.

Comparison Study of the Performance of CNN Models with Multi-view Image Set on the Classification of Ship Hull Blocks (다시점 영상 집합을 활용한 선체 블록 분류를 위한 CNN 모델 성능 비교 연구)

  • Chon, Haemyung;Noh, Jackyou
    • Journal of the Society of Naval Architects of Korea
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    • v.57 no.3
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    • pp.140-151
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    • 2020
  • It is important to identify the location of ship hull blocks with exact block identification number when scheduling the shipbuilding process. The wrong information on the location and identification number of some hull block can cause low productivity by spending time to find where the exact hull block is. In order to solve this problem, it is necessary to equip the system to track the location of the blocks and to identify the identification numbers of the blocks automatically. There were a lot of researches of location tracking system for the hull blocks on the stockyard. However there has been no research to identify the hull blocks on the stockyard. This study compares the performance of 5 Convolutional Neural Network (CNN) models with multi-view image set on the classification of the hull blocks to identify the blocks on the stockyard. The CNN models are open algorithms of ImageNet Large-Scale Visual Recognition Competition (ILSVRC). Four scaled hull block models are used to acquire the images of ship hull blocks. Learning and transfer learning of the CNN models with original training data and augmented data of the original training data were done. 20 tests and predictions in consideration of five CNN models and four cases of training conditions are performed. In order to compare the classification performance of the CNN models, accuracy and average F1-Score from confusion matrix are adopted as the performance measures. As a result of the comparison, Resnet-152v2 model shows the highest accuracy and average F1-Score with full block prediction image set and with cropped block prediction image set.

The Representation Methodology for the Ship Model based on Product Model (제품모델을 기호로 한 선박모델의 표현방법론)

  • W.S. Kang;S.W. Suh;D.W. Shin;K.O. Lee;K.Y. Lee
    • Journal of the Society of Naval Architects of Korea
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    • v.29 no.4
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    • pp.45-57
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    • 1992
  • In this paper, the trends for the standardization of the product model was surveyed, and the product model can be used as concrete means to realize the communication of information between the CAD/CAM softwares, which are used for the design and manufacturing of the complex products such as ships. We have proposed the newly developed methodology for the representation and definition of the ship model on a basis of the product model. And also we have studied the product modeling technology for the aspect of an application, and the object-oriented system technology have been surveyed for the system implementation issues. We would like to verify the consistency and correctness of our proposed representation methodology by using the prototype application model, which is applied to design work of ship compartmentation model. For this purpose we have developed the "OO_COMDEF"(which means the Object-Oriented System for the Compartmentation Definition of ship) program that is applied to the compartmentation model which can be considered as a submodel of the general ship models. The results of research work have been proved that the representation methodology for the ship model based on the product model is an efficient and appropriate scheme for the ship model definitions. Consequently, this methodology can be proposed as a fundamental framework for the development of the shipbuilding CAD/CAM system.

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