• 한국전자거래학회지
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• 제2권2호
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• pp.1-30
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• 1997

In this research, the concept of CM (configuration management) is introduced for proper applications to the life-cycle product data management. In addition, the activities for CM - CM management and planning, configuration identification, configuration control, configuration status accounting, and configuration verification and audit - are described in detail. For the management of distributed configuration data among governments, prime contractors, and subcontractors, development environments and functions for the configuration management information system (CMIS) are proposed.

• Journal of the Korean Data and Information Science Society
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• 제14권2호
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• pp.237-245
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• 2003

MDS(multi-dimensional scaling) for preference data is a graphical tool which usually figures out how consumers recognize, evaluate certain products. This article is mainly concerned with an optimal scaling for MDS when target configuration is available. Rotation of axis and SUR(seemingly unrelated regression) methods are employed to get a new configuration which is obtained as close to the target as we can. Methodologies developed here are also illustrated via a real data set.

• 한국CDE학회논문집
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• 제8권4호
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• pp.222-230
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• 2003

Artificial intelligence has been used in the configuration design stage of high-speed train. The traction system of a high-speed train is composed of transformers, motor blocks, and traction motors of which locations and number in the trainset should be determined in the early stage of the train conceptual design. Components of the traction system are heavy parts in the train, so it gives strong influence to the top speeds and overall train configuration of high-speed trains. Top speeds have been predicted using the neural network with the associated data of the traction system. The neural networks have been learned with data sets of many commercially operated high-speed trains, and the predicted results have been compared with the actual values. The configuration design of the train set of a high-speed train determines the basic specification of the train and layout of the traction system. The neural networks is a useful design tool when there is not sufficient data for the configuration design and we need to use the existing data of other train for the prediction of trainset in development.

• 한국군사과학기술학회지
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• 제7권2호
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• pp.65-73
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• 2004

In general, weapon system design/configuration data consist of system structure information which is linked to Part information, documents and drawings. For configuration management, version and revision control are necessary and access control of users to information should be managed for information security. Configuration data of weapon systems have various kinds of different meta data which are contained in the structure as well as attributes of parts and documents information. If neutral types of meta data models be used for building configuration management system, they can be applied to many different kinds of weapon systems with a little customization. In this paper, five meta data models are supposed and implementation results of them by using CBD(component based design) methodology are presented.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권11호
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• pp.3619-3637
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• 2022

Big data analytics offers endless opportunities for operational enhancement by extracting valuable insights from complex voluminous data. Hadoop is a comprehensive technological suite which offers solutions for the large scale storage and computing needs of Big data. The performance of Hadoop is closely tied with its configuration settings which depends on the cluster capacity and the application profile. Since Hadoop has over 190 configuration parameters, tuning them to gain optimal application performance is a daunting challenge. Our approach is to extract a subset of impactful parameters from which the performance enhancing sub-optimal configuration is then narrowed down. This paper presents a statistical model to analyze the significance of the effect of Hadoop parameters on a variety of performance metrics. Our model decomposes the total observed performance variation and ascribes them to the main parameters, their interaction effects and noise factors. The method clearly segregates impactful parameters from the rest. The configuration setting determined by our methodology has reduced the Job completion time by 22%, resource utilization in terms of memory and CPU by 15% and 12% respectively, the number of killed Maps by 50% and Disk spillage by 23%. The proposed technique can be leveraged to ease the configuration tuning task of any Hadoop cluster despite the differences in the underlying infrastructure and the application running on it.

• 한국CDE학회논문집
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• 제13권4호
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• pp.314-322
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• 2008

This paper introduces an integration of Product Data Management (PDM) and Software Configuration Management (SCM). PDM and SCM have supported development of mechanical products and software products respectively. The importance of software components in the current products increases rapidly since the software enables the products to satisfy various customer requirements efficiently. Therefore the current product development needs enhanced product data management that can control both the hardware and software data seamlessly. This paper proposes an extended product data model for integrating SCM into PDM. The extension enables PDM document management to support the version control for software development. It also enables engineers to control both the software and hardware parts as integrated data objects during product configuration and engineering change management. The proposed model is implemented by using a commercial Product Lifecycle Management (PLM) system and a development of a network based robot system is tested by the implemented product development environment.

• 한국항공운항학회지
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• 제20권3호
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• pp.35-43
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• 2012

Medium size rotorcraft consist of approximately 5,000 key components. The components must satisfy the target weight and performance requirement through optimization. Therefore a rotorcraft component has approximately 100 times higher unit cost for mass production than the equivalent of an automobile's, along with huge development cost. Configuration management consists of four main parts : configuration identification, configuration control, configuration audit, and data management. In development programme, configuration management is one of the methods to save development cost, and setting a well-structured configuration management system according to the Military Standard is an important factor in success of the programme. The paper proposes a configuration management system suitable for development of various multi-use components development and presents that the configuration management was performed successfully during dual-use component development programme using the established system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권10호
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• pp.3419-3437
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• 2022

Anonymization technology is an important technology for privacy protection in the process of data release. Usually, before publishing data, the data publisher needs to use anonymization technology to anonymize the original data, and then publish the anonymized data. However, for data publishers who do not have or have less anonymized technical knowledge background, how to configure appropriate parameters for data with different characteristics has become a more difficult problem. In response to this problem, this paper adds a historical configuration scheme resource pool on the basis of the traditional anonymization process, and configuration parameters can be automatically recommended through the historical configuration scheme resource pool. On this basis, a privacy model hybrid recommendation algorithm for user satisfaction is formed. The algorithm includes a forward recommendation process and a reverse recommendation process, which can respectively perform data anonymization processing for users with different anonymization technical knowledge backgrounds. The privacy model hybrid recommendation algorithm for user satisfaction described in this paper is suitable for a wider population, providing a simpler, more efficient and automated solution for data anonymization, reducing data processing time and improving the quality of anonymized data, which enhances data protection capabilities.

• 디지털콘텐츠학회 논문지
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• 제10권1호
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• pp.147-157
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• 2009

무기체계 연구개발 프로세스를 지원하기 위한 형상/정보관리시스템은 오랜 연구개발 과정에서 생산되는 문서, 도면, 구성품정보, 구조정보 등에 대한 동시공학 및 협업적 업무를 지원해야 한다. 본 논문에서는 무기체계 연구개발 형상/정보관리시스템의 주요 기능을 서비스 지향 아키텍처에 기반을 둔 서비스들로 식별해 보고자 한다. 무기체계 연구개발 형상/정보관리시스템의 주요 서비스를 식별하기 위하여 먼저 무기체계 연구개발 형상/정보관리시스템을 서비스 소비자 계층, 비즈니스 서비스 계층, 애플리케이션 서비스 계층, 애플리케이션 계층의 4 가지 계층의 서비스 지향 아키텍처로 제안하였으며, 각각의 계층에 대한 주요 서비스를 식별하였다. 4 가지 계층의 주요 서비스를 식별하기 위하여 일반적인 하향식 서비스 식별 방법보다는 잘 정의된 도메인 구현 시스템으로부터 필요한 비즈니스 서비스를 식별해가는 상향식 서비스 식별 방법을 사용하였다. 본 논문에서는 이러한 상향식 서비스 식별 방법을 사용하여 무기체계 형상/정보관리시스템을 서비스 지향 아키텍처에 기반을 둔 시스템으로 구현하기 위한 필수적인 서비스를 일반적인 PDM 시스템 관점과 무기체계 연구개발 형상/정보관리시스템의 비즈니스 영역에 제한하여 식별하였다.

• Journal of Communications and Networks
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• 제3권4호
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• pp.317-323
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• 2001

Traditional configuration management involves complex labor-intensive processes performed by experts. The configuration tasks such as installing or reconfiguring a system, provisioning network services and allocating resources typically involve a large number of activities involving multiple network elements. The network elements may be associated with proprietary configuration management instrumentation and may also be spread across heterogeneous network domains thereby increasing the complexity of configuration management. This paper introduces an architecture for the self-configuration of networks (SELFCON). The proposed architecture involves a directory server, which is uses to maintain configuration information. The configuration information stared in the directory server is modeled using the standard DEN specification thereby allowing effective exchange of network, system and configuration management data among heterogeneous management domains. SELFCON associates configuration intelligence with the components of the network, rather than limit it to a centralized management station. The network elements are notified about related changes in configuration policies, based upon which, they perform self-configuration. SELFCON is able to provide automation of configuration management and also an effective unifying framework for enterprise management.