• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 추계종합학술대회 논문집
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• pp.135-138
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• 1998

In this paper, we propose an software architecture for home network gateway set-top-box that supports the connectivity between various consumer devices and the Internet simultaneously. To improve the scalability of the software, the proposed architecture uses the abstracted protocol driving structure, and to enhance the user-friendliness, the unified device access and management user interface is implemented using web technology. A prototype for the proposed architecture is implemented for evaluating the usability under the home network test bed.

• Spatial Information Research
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• 제21권4호
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• pp.25-34
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• 2013

연구의 목적은 BIM과 다양한 이기종 솔류션 데이터 통합을 고려한 시설물 관리 시스템 아키텍처를 개발하는 것이다. 이기종 솔류션 데이터는 시설물 관리 시스템, 자산 관리 시스템, 시설물 센서 데이터베이스 시스템 뿐 아니라 모델러로 부터 생성된 파일이 될 수도 있다. 본 연구에서 이기종 솔류션 데이터 통합을 위한 고려사항을 도출하고 이를 구현하기 위해 ETL (Extract, Transform and Load)을 사용한 BIM기반 데이터 통합 방법을 제안한다. 이와 관련된 연구동향을 조사하고, BIM기반 이기종 솔류션 데이터 통합 지원 아키텍처 개발을 위한 유스케이스를 도출하였다. 이를 통해 BIM기반으로 시설물 객체와 관련된 데이터를 확인할 수 있도록 FM 데이터베이스 스키마를 개발하였다. 마지막으로 아키텍처 적용 가능성을 확인하기 위해 제안된 방법을 이용하여 프로토타입을 구현하였다.

• 정보화연구
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• 제10권4호
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• pp.423-433
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• 2013

본 연구의 목적은 정부기관에서 운영되고 있는 EA(Enterprise Architecture)를 활성화시키기 위한 실용적인 가이드라인을 제시하는 것이다. 이를 위해 공공기관에서 EA가 운영되고 있는 실태를 IT 거버넌스 관점에서 분석하고 EA 담당자의 입장에서 EA 활성화에 필요한 과제를 도출하였다. 또한 각 기관별로 차이가 있는 EA성숙도수준을 고려하여 실행업무를 비교하고 그 차이를 분석하였다. 그 결과 EA의 도입이 IT관리체계의 구축과 개선에 기여하고 있음을 알 수 있었다. 또한 EA의 성숙도가 높을수록 IT 관리체계의 개선뿐 아니라 사용자 만족도와 활용도, 그리고 업무개선 등 다른 성과도 뚜렷하게 산출됨을 알 수 있었다. 결과적으로 EA 성숙도 수준이 일정수준에 도달해야만, 즉 EA가 활성화되어야만, IT 관리체계를 개선하는 성과를 달성할 수 있으며 궁극적으로 다양한 IT 성과(사용자 만족도와 IT 활용도, 업무개선)에 도달할 수 있음을 밝혀냈다.

• Journal of Information Processing Systems
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• 제4권3호
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• pp.103-112
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• 2008

This paper proposes a policy adjuster-driven Grid workflow management system for collaborative healthcare platform, which supports collaborative heart disease diagnosis applications. To select policies according to service level agreement of users and dynamic resource status, we devised a policy adjuster to handle workflow management polices and resource management policies using policy decision scheme. We implemented this new architecture with workflow management functions based on policy quorum based resource management system for providing poincare geometrycharacterized ECG analysis and virtual heart simulation service. To evaluate our proposed system, we executed a heart disease identification application in our system and compared the performance to that of the general workflow system and PQRM system under different types of SLA.

• 융합보안논문지
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• 제10권4호
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• pp.39-48
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• 2010

복잡한 환경에서 안전한 IT환경은 하나이상으로 분리된 데이터의 그룹으로 나뉘어 같은 시스템에 상주하지 않게 함으로서 그 목적을 얻을 수 있다. 이러한 시스템의 사용자는 특정 데이터에 접근하는 방법과 등급을 다르게 하여야 한다. 정보구조, 물리적 구조, 사용자 권한 및 응용프로그램 보안 정책을 위한 유지 보수 등은 이러한 환경 관리를 더욱 복잡하게 하고 보안 관리자의 수의 증가를 가져온다. 본 논문은 이러한 환경관리를 위한 CM 툴을 시스템 공학의 CASE 툴을 모델로 하여 제안하고자 한다. 시스템 공학의 모델링 기법은 다중 정보 보안을 처리하는 데 사용할 수 있다. SE의 CASE 툴 모델은 동일 시스템에 대한 논리와 물리적인 관리를 쉽게 할 수 있는 중요한 구성 요소를 가지게 된다. CASE 툴의 확장된 영역은 물리적인 CM 툴을 사용자 친화적이고 안전한 IT시스템의 관리 환경의 문제점을 해결하는 기본을 제공하게 될 것이다.

• Journal of Information Technology Applications and Management
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• 제19권2호
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• pp.135-147
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• 2012

Software architecture, as a blueprint for the system, should provide a robust foundation for design, implementation, and maintenance, for communication and documentation, and for reasoning about important system properties. Software architecture plays a central role during the whole software life-cycle. There are so diverse definitions of the software architecture, however, and there is no common agreement about what software architecture is. Examining 27 'published' definitions of software architecture, we synthesize an extensive model on the essential elements of software architecture, which consists of components, interaction among components, well-formed structure, reasons, and various perspectives. Further, we explore the possibility of unifying diverse software architecture definitions into a software architecture life-cycle model.

• 정보화연구
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• 제9권2호
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• pp.133-142
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• 2012

Gartner predicts that by 2012, 40% of EA programs will be stopped due to poor execution and the failure of delivering business value. An organization needs a practical solution to achieve an EA vision. The EA essential approach should be that of business service and process orientation than systems and IT orientation. We propose an Actionable Enterprise Architecture (AEA) which is based on BPM (Business Process Management) and SOA (Service Oriented Architecture), and connected to service & process orientation and engineering. The architecture proposed provides traceability between service-oriented enterprise architecture and its solution. The proposed architecture can transform enterprise architecture from conceptual to physical levels (solutions) with a service and business process paradigm.

• 한국컴퓨터정보학회논문지
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• 제24권5호
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• pp.49-58
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• 2019

In this paper, we propose an edge cloud platform architecture for implementing smart factory. The edge cloud platform is one of edge computing architecture which is mainly focusing on the efficient computing between IoT devices and central cloud. So far, edge computing has put emphasis on reducing latency, bandwidth and computing cost in areas like smart homes and self-driving cars. On the other hand, in this paper, we suggest not only common functional architecture of edge system but also light weight cloud based architecture to apply to the specialized requirements of smart factory. Cloud based edge architecture has many advantages in terms of scalability and reliability of resources and operation of various independent edge functions compare to typical edge system architecture. To make sure the availability of edge cloud platform in smart factory, we also analyze requirements of smart factory edge. We redefine requirements from a 4M1E(man, machine, material, method, element) perspective which are essentially needed to be digitalized and intelligent for physical operation of smart factory. Based on these requirements, we suggest layered(IoT Gateway, Edge Cloud, Central Cloud) application and data architecture. we also propose edge cloud platform architecture using lightweight container virtualization technology. Finally, we validate its implementation effects with case study. we apply proposed edge cloud architecture to the real manufacturing process and compare to existing equipment engineering system. As a result, we prove that the response performance of the proposed approach was improved by 84 to 92% better than existing method.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.475-478
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• 2013

To carry out a one-off construction project successfully, effective and accurate early cost estimation is crucial, especially during the conceptual stage where very limited minimum information of construction project is given. As the level of accuracy of the early cost estimation has huge impacts on precise budgeting and cost management of a project, in other words, reducing the risk of a project, cost must be managed with special awareness. In an effort to improve the estimate accuracy of cost during the conceptual stage, this research introduces a Parameter Impact (PI) which can quantify weights of parameters and rank them; and PI development derived from the principle of impulse in physics is explicated. For a case study, 76 public apartment building cases in Korea are analyzed. To examine the validity of the proposed PI, a validation in terms of CBR applicability test and estimate accuracy comparisons using 10-nearest neighbor cases are carried out. The validation results support that the suggested PI can be applied in quantifying the weights of the parameters and CBR method for early cost estimation.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2006년 창립20주년기념 정기학술대회 및 국제워크샵
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• pp.298-302
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• 2006

As the age of information technology is coming, companies stress the need of knowledge management. Companies construct ERP system including knowledge management. But, it is not easy to formalize knowledge in organization. we focused on data mining system by using genetic programming. But, we don't have enough data to perform the learning process of genetic programming. We have to reduce input parameter(s) or increase number of learning or training data. In order to do this, the enhanced data mining system by using GP combined with SOM(Self organizing map) is adopted in this paper. We can reduce the number of learning data by adopting SOM.