• 한국항행학회논문지
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• 제23권4호
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• pp.328-332
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• 2019

웹 기술의 발전으로 다양한 시스템 환경에서의 기술적 융합을 웹 인터페이스를 통해 수행이 가능해졌다. 웹은 그 역할에 따라 웹 1.0시대부터 4.0시대로 분류할 수 있으며, 정보의 연결 (connects information), 사람의 연결(connects people), 지식의 연결(connects knowledge), 지능의 연결(connects intelligence)의 특성을 갖는다. 또한, 4차 산업혁명을 거치면서 모바일 앱을 통한 다양한 기술적 needs가 발생하였고, 단순한 정보의 제공 수단이던 웹에서, 3D, 가상/증강, 비디오/오디오 프로세싱 등의 기능 수행이 가능해졌다. 이러한 시대적 needs를 뒷받침하기 위한 기술 표준이 연구되었다. 본 논문에서는 그중 하나인 웹 어셈블리에 대해 분석하였다. 웹 어셈블리를 기존의 웹 시스템(혹은 플랫폼)과 연계, 융합하여 활용하는 방안에 대해 살펴보고, 다양한 사례를 통해 기술적 의미를 분석 한다. 또한, 기존의 자바스크립트와 웹 어셈블리를 융합할 수 있는 아키텍트에 대한 연구를 진행하고, 추후 연구방향에 대해 논하고자 한다.

• 디지털산업정보학회논문지
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• 제10권2호
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• pp.1-11
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• 2014

Software reliability in the software development process is an important issue. Software process improvement helps in finishing with reliable software product. In this field, SPC (Statistical process control) is a method of process management through application of statistical analysis, which involves and includes the defining, measuring, controlling, and improving of the processes. The proposed process involves evaluation of the parameter of the mean value function and hence the values of the mean value function at various inter failure times to develop relevant time control chart. In this paper, was proposed a control mechanism, based on time between failures observations using Rayleigh and Burr distribution property, which is based on Non Homogeneous Poisson Process (NHPP). In this study, the proposed model is reliable in terms of hazard function, because it is more efficient in this area can be used as an alternative to the existing model. Through this study, software developers are considered by the various intended functions, prior knowledge of the software to identify failure modes to feed to some extent shall be able to help.

• 한국안전학회지
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• 제35권2호
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• pp.34-46
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• 2020

Unlike research focused on existing technologies and individual errors to analyze the causes of incidents, this study approached them from an organization and culture. And this study is not a one way study but cyclical study what can track cause down using causal loop diagram methodology. Four diagnostic criteria for the negative state of the safety culture : secretive, blame, failure to learning, and incremental learning, combine literature study and expert opinion to derive 41 variables. Connecting these variable make 4 causal loop diagrams and total causal loop diagram. Case accumulation in secretive, accident report in blame, knowledge accumulation in failure to learning, near miss discovery in incremental learning are the main variables. Safety incident is the objective variable by classifying them into 4 stages in total loop, leading track as the most affect is case accumulation, and Step 4 as you can see accident report and near miss discovery are the result of tracking down the cause. This study can be used as a basis for improving the management priority and the system in incident prevention.

• 한국산학기술학회논문지
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• 제17권10호
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• pp.13-20
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• 2016

교량은 지속적인 규모의 증가와 노후화의 확대로 인해 전산화된 관리 체계가 요구되었다. 국내외 교량관리시스템(Bridge Management System; BMS) 개발 동향 및 기능의 비교, 고찰을 통해 생애주기 관리가 가능한 ICT (Information and Communication Technology) 기반 교량 관리 체계를 제안하였다. BMS는 인터넷과 모바일이 결합된 운영 체계에 GIS 기능과 객체 기반 정보 관리 체계를 바탕으로 개발되었다. BMS는 교량의 생애주기 동안 발생되는 모든 정보의 객체 기반 정보화를 수행하여, 생애주기 성능 변화와 소요 예산의 추정을 바탕으로 중장기 관리 전략과 단기 관리 계획의 수립을 지원한다. 실제 공용중인 교량 약 6천 개소에 대한 생애주기 관리 전략 수립을 통해 의사 결정 지원을 위한 유용한 지식 정보를 도출하였다. 전국의 모든 도로교량에 적용 가능하도록 개발된 BMS는 정확한 이력 관리를 통한 성능 유지, 합리적인 예산 관리를 통한 비용 절감, 현장 정보 수집의 편의성 및 신뢰성 증진을 위해 실제적, 실용적으로 활용될 수 있을 것으로 판단된다.

• 정보관리학회지
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• 제19권1호
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• pp.135-161
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• 2002

과학기술 분류표, 시소러스, 용어사전 등의 주요한 색인 및 검색 도구를 한국어, 영어 일본어의 3개 언어로 통합 구축하여 활용할 수 있도록 다기능, 다국어 과학기술 통합 개념체계의 모형을 설계하였다. 이 연구에서는 개념을 기본 단위로 한 시소러스 모형을 개발하였으며, 시소러스와 연계되는 용어사전 레코드는 ISO 12620 표준에 근거하여 필수요소를 지정하였다. 또한 과학기술분야 표준분류표를 마련하고 기존의 일반 분류표와의 매핑 테이블을 작성하여 다른 분류표를 통한 접근이 가능하도록 하였다. 본 연구에서 개발한 통합 개념체계를 이용하여 원자력 분야를 대상으로 한 프로토타입 시스템을 구축하고 실제 검색 사례를 제시하였다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.11-15
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• 2003

Amount of biological data information has been increasing exponentially. In order to cope with this bio-information explosion, it is necessary to construct a biological data information integration system. The integration system could provide useful services for bio-application developers by answering general complex queries that require accessing information from heterogeneous bio data sources, and easily accommodate a new database into the integrated systems. In this paper, we analyze architectures and mechanisms of existing integration systems with their advantages and disadvantages. Based on this analysis and user requirement studies, we propose an integration system framework that embraces advantages of the existing systems. More specifically, we propose an integration system architecture composed of a mediator and wrappers, which can offer a service interface layer for various other applications as well as independent biologists, thus playing the role of database management system for biology applications. In other words, the system can help abstract the heterogeneous information structures and formats from the application layer. In the system, the wrappers send database-specific queries and report the result to the mediator using XML. The proposed system could facilitate in silico knowledge discovery by allowing combination of numerous discrete biological information databases.

• 대한인간공학회지
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• 제29권2호
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• pp.241-248
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• 2010

In accident analysis, it is essential to understand the causal pathways of the accident. Although numerous accident models have been developed to help analysts understand how and why an accident occurs, most of them do not include all elements related to the accident in various fields. Thus analysis of human error accidents in railway operations using these existing models may be possible, but inevitably incomplete. For a more thorough analysis of the accidents in railway operations, a more exhaustive model of accident causation is needed. This paper briefly reviews four recent accident causation models, and proposes a new model that overcomes the limitations of the existing models for the analysis of human error accidents in railway operations. In addition, the usefulness and comprehensiveness of the proposed model is briefly tested by explaining 12 railway accident cases with the model. The proposed accident causation model is expected to improve understanding of how and why an accident/incident occurs, and help prevent analysts from missing any important aspect of human error accidents in railway operations

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권6호
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• pp.2152-2170
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• 2014

With advances in smart and ICT(information and communication technology) technologies, our life style has been changing dramatically. Now everybody can enjoy the benefits of such technologies in every aspect of his/her daily life. Currently more and more people are trying to have smart devices such as smart phones and tablet PCs so that smart devices become the bare necessities. New smart technologies have created a new concept called smart learning in education area. As educational smart contents become popular, we need quality standards for the contents. Those standards are essential for evaluating the smart contents and suggesting guidance for future smart contents production. Although there are some standards for the existing e-learning environments, to our best knowledge, there are no standards for educational smart contents in the literature. The purpose of this paper is to develop quality standards for educational smart contents. The proposed quality standards are based on the existing quality standards in e-learning environments and include some characteristics of smart learning. For development of quality standards, wide experts group from academy and industry are selected and surveyed. Their responses are analyzed based on thorough statistical analysis so that final quality standards for educational smart contents are developed.

• KIEAE Journal
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• 제15권2호
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• pp.53-59
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• 2015

Purpose: Reducing energy consumption and greenhouse gas emissions is a primary concern throughout the world, and the building sector is a particularly efficient area for making these reductions. In South Korea, the government has recently enacted policies for "Green Growth" that, among other things, enforce regulations in the building certification rating system (BCRS) and reorganize existing incentive systems. Method: In this study, we examined regulations and incentive systems used in the United Kingdom, Germany, and the United States that encourage the use of energy efficient technologies in construction and compared these policies to those used in South Korea. We also disseminated surveys to experts in the fields of architecture, planning and design, and engineering to better understand their knowledge and perception of the BCRS and its incentive systems. Additionally, we sought their recommendations for improving these incentive systems. Result: Based on our comparative case studies of regulations and incentives in other countries, alongside recommendations from experts in South Korea, we concluded that incentive systems in South Korea are limited and require improvement. We make recommendations for strengthening existing regulations and incentives and for implementing new incentive programs.

• Industrial Engineering and Management Systems
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• 제16권1호
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• pp.64-79
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• 2017

Identifying disease genes from human genome is a critical task in biomedical research. Important biological features to distinguish the disease genes from the non-disease genes have been mainly selected based on traditional feature selection approaches. However, the traditional feature selection approaches unnecessarily consider many unimportant biological features. As a result, although some of the existing classification techniques have been applied to disease gene identification, the prediction performance was not satisfactory. A small set of the most important biological features can enhance the accuracy of disease gene identification, as well as provide potentially useful knowledge for biologists or clinicians, who can further investigate the selected biological features as well as the potential disease genes. In this paper, we propose a new stepwise random forests (SRF) approach for biological feature selection and disease gene identification. The SRF approach consists of two stages. In the first stage, only important biological features are iteratively selected in a forward selection manner based on one-dimensional random forest regression, where the updated residual vector is considered as the current response vector. We can then determine a small set of important biological features. In the second stage, random forests classification with regard to the selected biological features is applied to identify disease genes. Our extensive experiments show that the proposed SRF approach outperforms the existing feature selection and classification techniques in terms of biological feature selection and disease gene identification.