• 한국안전학회지
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• 제26권2호
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• pp.77-82
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• 2011

Recently, personal characteristics of organizational members arc regarded as an important factor that affects performance of organization. In addition, job stress is attributed to one of main factors that result in poor work ability and high turnover rate. In this study, job stress, work ability and DISC personality types were surveyed targeting 292 of foreman in shipbuilding company. The relationships between job stress and personal characteristics including personality types and correlation between job stress and work ability were analyzed based on the result of survey. As a result of statistical analysis, there were six statistically significant relationships between job stress and age, job tenure, work type, hobbies, exercise, personality types. On the other hand, there was a statistically significant relationship between work ability and exercise. Furthermore, negative correlation between job stress and work ability were found. In accordance with these analysis, this study presented how to improve work ability by managing job stress items and personal characteristics that affect the stress and the stress level.

• 한국전산구조공학회논문집
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• 제29권2호
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• pp.123-130
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• 2016

선박 건조 시장의 요구를 맞추기 위하여 신속한 건조의 목표로 노력하고 있는 조선소가 선박 정도관리에 대한 요구가 갈수록 높아지고 있다. 선박 건조 공정에서 생산성의 향상과 생산 주기의 단축을 위하여 선박 부재의 정도평가를 전 주기에서 수행해야 하는 것은 중요하다. 선박의 품질을 높이기 위하여 조선소에서 블록의 정도제어를 수행하는 것은 선박의 건조 주기를 단축할 수 있을 뿐만 아니라 건조 비용도 줄일 수 있다. 선박 블록의 정도를 제어하는 중심은 선박 블록 통합 정도관리 시스템을 만들어야 한다. 이 시스템은 "Non-allowance Shipbuilding"의 목표로 정도관리의 총괄성, 블록 정도의 향상, 정도 관리 과정의 표준화 등이 이루어져야 한다. 일반적으로 정도관리를 수행하는 관리자가 광파측정기를 이용하여 선박 블록의 접합면에 있는 주요 포인트(vital point)를 측정하고 수집하지만 무거운 계측장비를 가지고 블록의 정도관리를 수행하는 것은 불편할 뿐만 아니라 시간도 오래 걸린다. 본 논문에서는 선박 블록의 정도관리 시간을 단축할 수 있는 포인트 클라우드 기반으로 3차원 레이저 스캐너를 이용한 선박 블록 탑재 전에 오차예측 방법을 제안하였다. 이 방법은 ICP(iterative closest point) 알고리즘으로 측정된 포인트 클라우드와 설계된 점들의 비교 작업을 수행한 다음에 허용범위 내의 오차를 만족하는 지를 판단한다.

• 기술혁신연구
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• 제21권2호
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• pp.169-197
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• 2013

다수의 이론적, 실증적 연구에도 불구하고 지식재산권 제도와 기업의 기술혁신 및 경영성과간의 일반적 인과관계는 명확하지 않다. 본 연구는 산업별 기업 경영성과의 핵심 요인이 상이하다는 점에 주목한다. 이를 바탕으로 (1)지식재산권 강화${\rightarrow}$연구개발의 투입/산출 증가${\rightarrow}$매출증가로 이어지는 기본 성과창출경로가 작용하는 제약 산업, (2)지식재산권 강화와 연구개발 투입/산출간 관계가 약한 반도체산업, (3)연구개발과 매출 간 관계가 약한 조선 산업까지 세 산업을 대상으로 지식재산권 제도가 기술혁신과 경영성과에 미치는 영향을 분석했다. 한국의 특허제도가 선진국 수준에 이른 TRIPs 이후 15년간의 대기업 패널 데이터를 사용했으며, 고정효과모형을 차분 GMM으로 추정해 동태적 인과관계를 분석했다. 결과적으로, 지식재산권 강화가 제약 산업에서는 연구개발의 투입/산출 및 경영성과를 모두 증가시켰지만, 반도체-조선 산업에서는 영향을 미치지 못하는 것으로 나타났다. 즉, 지식재산권 강화를 위한 제도 구축과 정책은 산업별로 맞춤화될 필요가 있으며, 획일적인 강화/약화는 특정 산업의 경영성과 제고에 유의미한 영향을 미치지 못한다.

• Journal of Advanced Marine Engineering and Technology
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• 제35권4호
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• pp.512-518
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• 2011

우리나라는 1980년대 초반부터 조선산업과 더불어 조선기자재업체의 동반 성장을 추구해왔다. 그러나 조선산업발전 추이를 보면 중국이나 동남아시아로 시장이 옮겨갈 것이라는 전망이 나오고 있고, 국제해사기구(IMO)에서는 e-navigation 실현을 예고하는 등 국내외적 여건에 따른 산업계의 신속한 변화뿐만 아니라 국가적 대책과 학계의 연구개발 노력이 절실하다. 본 논문에서는 항해통신장비산업의 특징과 국내외동향, 그리고 연구개발분야를 서술하고, 대표적인 연구개발현황을 소개한다.

• Journal of Advanced Research in Ocean Engineering
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• 제3권1호
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• pp.32-40
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• 2017

Recently, the amount of data to be processed and the complexity thereof have been increasing due to the development of information and communication technology, and industry's interest in such big data is increasing day by day. In the shipbuilding and offshore industry also, there is growing interest in the effective utilization of data, since various and vast amounts of data are being generated in the process of design, production, and operation. In order to effectively utilize big data in the shipbuilding and offshore industry, it is necessary to store and process large amounts of data. In this study, it was considered efficient to apply Hadoop and R, which are mostly used in big data related research. Hadoop is a framework for storing and processing big data. It provides the Hadoop Distributed File System (HDFS) for storing big data, and the MapReduce function for processing. Meanwhile, R provides various data analysis techniques through the language and environment for statistical calculation and graphics. While Hadoop makes it is easy to handle big data, it is difficult to finely process data; and although R has advanced analysis capability, it is difficult to use to process large data. This study proposes a big data platform based on Hadoop for applications in the shipbuilding and offshore industry. The proposed platform includes the existing data of the shipyard, and makes it possible to manage and process the data. To check the applicability of the platform, it is applied to estimate the weights of offshore structure topsides. In this study, we store data of existing FPSOs in Hadoop-based Hortonworks Data Platform (HDP), and perform regression analysis using RHadoop. We evaluate the effectiveness of large data processing by RHadoop by comparing the results of regression analysis and the processing time, with the results of using the conventional weight estimation program.

• 한국의류산업학회지
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• 제15권3호
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• pp.452-460
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• 2013

This study conducted a performance evaluation of protective clothing materials used for welding in a hazardous shipbuilding industry work environment. The welding process was selected as the one that most requires industrial protective clothing according to work environment characteristics. Flame proofing and convection heat protection performance (HTI) in the heat transfer characteristics of protective clothing material were indicated in the order of SW1(Oxidant carbon)>SW2(silica coated Oxidant carbon)>SW4(Oxidant carbon/p-aramid)>SW3(flame proofing cotton). However, radiant heat protection performance (RHTI) and the heat transfer factor (TF) were indicated in the order of SW1>SW4>SW2>SW3 and showed different patterns from the convection heat protection performance. SW1 showed superior air permeability and water vapor permeability. The tensile strength and tear strength of welding protective clothing material were indicated in the order of SW4>SW2>SW3>SW1 and showed that a blend fabric of p-aramid was the most superior for the mechanical properties of SW4. SW1 had excellent heat transfer properties in yet met the minimum performance requirements of tensile strength proved to be inappropriate as being a material for welding protective clothing. The abrasion resistance of woven fabric proved superior compared to nonwoven fabric; however, seam strength and dimensional change both met the minimum performance requirements and indicated that all samples appeared non-hazardous. Finally, oxidant carbon/p-aramid blend fabric appeared appropriate as a protective clothing materials for welding.

• 한국CDE학회논문집
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• 제18권4호
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• pp.258-266
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• 2013

In shipbuilding, 2D manufacturing drawings are crucial for building a ship. Even various types of 3D models are being utilized for supporting ship manufacturing, which does not reduce the importance of 2D drawings. Recently things are changing in the shipbuilding industry. To reduce the number of 2D drawings or to reduce the quantity of information contained in 2D drawings, some attempts that can substitute for 2D drawings are being made. One of the attempts is to visualize lightweight 3D manufacturing models in a mobile device. In this paper, a method for displaying lightweight 3D models of a ship in an Android based device is introduced. To overcome the problem with parsing JT files in Android system, JT files are parsed in a Windows based server and as-simple-as-possible visualization data are transmitted to an Android based viewer. A comparison result with a commercial system is also given.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.54.2-54
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• 2002

Robots are widely used for welding automation in the shipbuilding industry. Because of the distinguishing mark of the shipbuilding, many robots conduct each other welding jobs at a point of time. The manager/operator stay in a place apart from working site for safety reason, but need to observe the progress of work and the status of robots. On this account, the monitoring system for welding robots has become essential. We developed a monitoring system by which, many people can monitor robot's status simultaneously at separated locations through the web. The monitoring system consists of Server and Client, where the server keep connection to robots and deliver client's request to robots and cli...

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2007년도 정기 학술대회 논문집
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• pp.731-736
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• 2007

Ubiquitous computing is a model of computing in which computer functions are integrated into everyday life, providing services and information in anywhere and anytime fashion. Augmented Reality is one of ubiquitous computing technologies to provide new paradigm utilized to interact between human and computer. By adding computer-generated non-visual information to real information and their interaction. user can get the improved and more knowledgeable information about real world. The purpose of this paper is the integration of AR and knowledge-base reasoning technology in ubiquitous computing. Through the introduced concept, it is enable to provide adequate knowledge in the process of ship design and manufacturing easily (Knowledge Everywhere). That is, this is a basic research to construct knowledge-based ubiquitous environment (KAD/KAM) in shipbuilding industry.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2021년도 추계학술대회
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• pp.134-135
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• 2021

조선해양 관련 산업에서는 아직 일본식 및 한자식 조선용어, 외래어가 자리 잡아 일상적으로 사용되고 있다. 대표적인 예로 고박(固縛, こばく), 취부(取付, とりつ), 반생(番線, ばんせん) 등이다. 용어의 정의는 국가 표준 및 관련 법령의 기본이며, 특히 국내 해양레저 관련 산업의 경쟁력 향상을 위하여 필수적이다. 이에 일부 혼용 중인 해양레저장비 관련 선체, 의장품, 범장 등과 관련하여 영문 명칭, 외래어 사용시 표기법, 권장 한국어 등으로 구분하여 표준화 방안을 제시하고자 한다.