• Land and Housing Review
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• v.11 no.3
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• pp.33-37
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• 2020

The aim of this paper is to scrutinize the relation between Business Survey Index and Industrial Production Index in construction industry, stated in another way, the relation between CEO's expectations of future business status and real business activity in construction industry. Previous papers on this research area have been examined the relation between released BSI and released IPI. However, this paper focuses 'the relation between released BSI and the long-run component of IPI' and 'the relation between released BSI and the short-run component of IPI'. The first step is to decompose released IPI by unobserved component model. The long-run component of IPI is set up as a random walk process. And short-run component is set up as a stationary AR(1) process. The findings are as follows. First, released BSI Granger causes unidirectionally released IPI. Second, there exists one-way Granger causality from released BSI to long-run component of IPI. Third, Granger causality does not exist between released BSI and 'short-run component of IPI'. BSI increases IPI in the second or third month. These findings of this paper mean that CEO's expectations may influence industrial production in construction industry.

• The KIPS Transactions:PartD
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• v.12D no.5 s.101
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• pp.745-754
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• 2005

Defence Information System has surely required the guarantee of interoperability between systems as performing task oriented functions. To improve interoperability between them and use the benefits of component based development, defense officers are planning to develop COE like a kind of component bank concept. Defense component development methodology(ADDMe) within COE is a new approach of component based methodology for Defense environment after comparing, analyzing, and synthesizing with traditional CBDs. In this paper we introduce advanced defense component development methodology(ADDMe) and present checklist for improving interoperability between Defence component based systems which are developed with ADDMe. With our proposed interoperability's checklist, we can improve interoperability of defense component based systems through applying per each phase of ADDMe.

• Journal of the Korean Magnetic Resonance Society
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• v.16 no.2
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• pp.133-146
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• 2012

Three different derivatives were obtained in the synthesis of cobalt-binding BLM-A2 and characterized by NMR and Mass spectrometry. It was found that Component 1 is Co(II)($2H_2O$)(BLM-A2), component 2 is Co(III)($OOH^-$)(BLM-A2) and component 3 is Co(III)($H_2O$)($OH^-$)(BLM-A2), respectively. Component 2 and 3 were interestingly dominated when CoBLM-A2 complex was synthesized under basic condition. In this experiment, it was revealed newly that the brown form (component 1) was 6-coordinated structure composed with not 5 ligands but 4 ligands from BLM-A2 and with $2H_2O$ as the axial ligands. The component 3 exhibiting a novel ligand configuration is found, and the structure of component 3 was observed to be very similar to that of component 1 in the kind of their ligands but one of the axial ligand is $OH^-$ instead of $H_2O$. These ligand configurations are different from the green form (component 2) exhibiting 6-coordinate structure composed of 5 ligands from BLM-A2 and one ligand of $OOH^-$, being consistent with former studies.

• Journal of the Korean Geotechnical Society
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• v.26 no.10
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• pp.69-79
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• 2010

To detect abnormal events in slopes, Principal Component Analysis (PCA) is applied to the slope that was collapsed during monitoring. Principal component analysis is a kind of statical methods and is called non-parametric modeling. In this analysis, principal component score indicates an abnormal behavior of slope. In an abnormal event, principal component score is relatively higher or lower compared to a normal situation so that there is a big score change in the case of abnormal. The results confirm that the abnormal events and collapses of slope were detected by using principal component analysis. It could be possible to predict quantitatively the slope behavior and abnormal events using principal component analysis.

• The KIPS Transactions:PartD
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• v.9D no.1
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• pp.91-102
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• 2002

We need a component-based system to reflect software changes in user's requirements, to implement a system at a rapid speed as well as to efficiently manage the system in a maintenance phase and to easily change software. Moreover, the component-based system has a merit in development cost. However, existing component development methodology for implement of component-based system is inefficient in object identification for component identification. Moreover, the existing component development methodology also fails to provide any method to identify system component. It merely provides procedures and methods to identify business component focused on a whole system domain. In addition, it has another problem that it considerably relies on developer's experiences and intuitions for component identification. Therefore, according to this paper, RUP (Rational Unified Process) is applied from a requirement analysis phase to an object identification phase in order to improve the inefficiency of object identification. In addition, this paper procedures and methods for system component identification, and identifies business components based on the identified system component, rather than on the whole system domain. This paper also provides and applies cohesion metric and coupling metric so as to overcome the problem that component identification depends on developer's intuitions and experiences. Accordingly, the component identification method proposed in this paper, may identify components more effectively based on facility of object identification, functional reusability of components, traceability, and independence of components.

• The Korean Journal of Applied Statistics
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• v.27 no.1
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• pp.31-41
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• 2014

Biplot is a useful graphical method to simultaneously explore the rows and columns of a two-way data matrix. In particular, principal component factor biplot is a graphical method to describe the interrelationship among many variables in terms of a few underlying but unobservable random variables called factors. If we consider the unobservable variables (which are mutually independent and also non-Gaussian), we can apply the independent component analysis decomposing a mixture of non-Gaussian in its independent components. In this case, if we apply the principal component factor analysis, we cannot clearly describe the interrelationship among many variables. Therefore, in this study, we apply the independent component analysis of Jutten and Herault (1991) decomposing a mixture of non-Gaussian in its independent components. We suggest an independent component biplot to interpret the independent component analysis graphically.

• The KIPS Transactions:PartD
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• v.9D no.5
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• pp.903-914
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• 2002

In this research, the technique and tool for the adaptation of components are suggested. While reusing a component or assembling components, component adaptation should be required since the interfaces of component to be assembled might not be exactly matched. Sometimes, other attributes are needed for new business features or even the same business concept. So, in reusing or assembling a component, component adaptation techniques are essentially required. In this research, we proposed the following Component Adaptation by Binary Component Adaptation Techniques : and Component Adaptation by Adaptation Components. Also, we constructed a component adaptation supporting tool. As the results, we can adapt the existing components without source code and can reuse the existing components when the components do not meet new requirements or can not be directly connected with other components to be integrated.

• Journal of KIISE:Software and Applications
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• v.31 no.6
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• pp.741-749
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• 2004

Component users must customize components they obtain from providers, in order to fit them to their own purposes. Normally, a component consists of black-box parts and white-box parts. Component users customize a component by modifying white-box parts of a component, and the customization faults appear through the interaction between black-box parts and white-box parts. Customization testing could be an integration testing of these two parts of a component. Also, customization testing in CBSD should select effective test data to reduce the testing cost, since CBSD aims to reduce the development cost. Therefore, this paper proposes a customization testing technique based on COM architecture through analyzing many COM components, and the technique selects effective test data. This paper evaluates the effectiveness of the test data selected by the proposed technique through an empirical study. It applies the techlique to a large-scale component-based system, Chamois, and it shows that the technique enables us to test customized COM components that run in a real component-based system

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.2
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• pp.211-223
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• 2005

The current software development type is based on CBD (Component Based Development). However, it requires a new component model that can support rapid and accurate component information on the web due to the cost increase of building new components using CBD. The purposed of this paper is to promptly develop an application on the web which fulfills users' demand and to provide specific interface regarding the small scales of distributed component in business domains. The e-BCOS(e-Business Component System) is the agent system for the users to register distributed components and to search component information, which would increase reusability through the e-business component development of distributed components in business domains and help the users understand the information about the component. Moreover, XML is employed for specification which allows smooth specification sharing and delivery to satisfy users' variable demands.

• ETRI Journal
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• v.25 no.2
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• pp.121-132
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• 2003

To enhance the productivity of software development and accelerate time to market, software developers have recently paid more attention to a component-based development (CBD) approach due to the benefits of component reuse. Among CBD processes, the identification of reusable components is a key but difficult process. Currently, component identification depends mainly on the intuition and experience of domain experts. In addition, there are few systematic methods or tools for component identification that enable domain experts to identify reusable components. This paper presents a systematic method and its tool called a component identifier that identifies software components by using object-oriented domain information, namely, use case models, domain object models, and sequence diagrams. To illustrate our method, we use the component identifier to identify candidates of reusable components from the object-oriented domain models of a banking system. The component identifier enables domain experts to easily identify reusable components by assisting and automating identification processes in an earlier development phase.