• Journal of the Korean Institute of Rural Architecture
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• v.7 no.2
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• pp.48-55
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• 2005

The purpose of this paper is to develop planning of individual house in Gangwon Provinces. Above all important two conditions, such as changes of life style and building trends are to analyze for landscape. Thus the major analysis is to take basic data about planning. For the feasiblity of these condition, roof type, color, context can be checked and design of landscape may be possible to work out optimum housing for the environments. This study suggests that house of future is to be environmental landscape design. The result of this study, proposal of guideline will be useful to make out design data individual house for the form programming phase of schematic designing in landscape Housing.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.1339-1342
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• 2002

It is difficult to design system software to meet a better separation of concerns, which can provide a number of benefits such as adaptability, extensibility, and modularity in the design and implementation. During design, some aspectual properties, such as synchronization, scheduling, performance and fault tolerance, crosscut the basic functionalities of the system software. By separating functional components from the different aspectual components of the system software in the design, we can provide a better generic design model of system software. Aspect-Oriented Programming is a methodology that aims at separating components and aspects from the early stages of the software life cycle, and using techniques to combining them together at the implementation phase. In this paper we discuss an aspect-oriented framework that can simplify system software design and implementation by expressing it at a higher level of abstraction. Our work concentrates on how to achieve a higher separation of aspectual components, functional components, and layers from each other. Our goal is to achieve a better design model for implementing system software in terms of modularity, reusability and adaptability.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.43 no.5
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• pp.753-760
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• 1994

This paper proposes a new method to compute the static thrust of a hybrid-type LPM by the coenergy method, which can be applied to a nonlinear programming of the optimization techniques for the optimal design. In the process of the computation, the magnetic nonlinearities of the permanent magnet, the primary and the secondary core are interpolated by the cubic spline method. And then, the equivalent magnetic circuit including the airgap reluctance which is a function of the displacement is modelled by the permeance method. The static thrust which is a derivative of the coenergy is computed by the Newton Raphson method at each displacement. To verify this proposed method, the results of the compjutation are compaction with those of the experiment obtained from the DLPM with 2 phase and 4 poles.

• The Transactions of the Korea Information Processing Society
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• v.2 no.1
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• pp.34-44
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• 1995

One of the most important problems faced by software developers and users is the prediction of the size of programming system and its development effort. This article define the identical characteristics for structured specification which is consisted of Data Flow Diagram, Data Dictionary and Mini Specification and apply quantitative estimation factor of structured specification to program code metrics, Moreover, concerning DFD which is made up of component element of structured specification executed quantitative estimation experiment. In the result, we propose man/month prediction model of lower progression with production on analysis phase of upper progression.

• Journal of the military operations research society of Korea
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• v.16 no.1
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• pp.130-141
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• 1990

This paper presents an allocation model of test times of software modules. An evaluation measure of modules which is based on the data flow path between modules is used at test phase. An evaluation measure is expressed by the possible path number of data flow for each module, which can be interpreted as an importance of individual module. Three criteria : module test time, module reliability, and system reliability is considered in this model. Multi-objective programming, hence, is used to solve this model.

• Journal of the military operations research society of Korea
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• v.15 no.2
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• pp.38-55
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• 1989

Reusing software is a promising solution which overcomes the software crisis in the software development environment by improving the software productivity, reliability and maintainability. To develop software, some developers reuse existing softwares, but without an adequate design environment, software reuse would not be applicable. The purpose of this paper is to design and implement the X system, and measure empirically its resuability in the development phases. The development processes of the X system used a software reuse design guidelines within the Object-Oriented Design method and the Ada programming language. In order to measure the resuability, metrics was proposed and applied for each phase of development. The results of this paper address some reusability measurement that may be used as basic data when estimating the amount of reuse for a combined development project of military applications.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.3
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• pp.581-595
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• 1997

The procedure of grouping the machines and parts to form cells is called manufacturing cell design. The manufacturing cell design is an important step in the development and implementation of advanced manufacturing systems. For the successful implementation of the manufacturing systems, identification of independent manufacturing cells, i.e., cells where parts are completely processed in the cell and no intercell movements, is necessary in the design phase. In this paper, we developed a mixed integer programming model and genetic algorithm based procedure to solve the independent manufacturing cells design problem considering the alternative process plans and machines duplication. Several manufacturing parameters such as, production volume, machine capacity, processing time, number of cells and cell size, are considered in the process. The model determines the process plan for parts, port families and machine cells simultaneously. The model has been verified with the numerical examples.

• Proceedings of the KSR Conference
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• 2004.06a
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• pp.1477-1478
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• 2004

Science the change of development methods and environment of the software is rapidly kept going in industry, previous manual test methods will not be able to guarantee the quality of software. Therefore the software test automation tools is being developed actively. And many of the tools which is reliable is applied and used in domestic organizations. Indirect test techniques currently are used For the improvement of the software quality, such as formal specification and design, structural programming. And also the various do direct test techniques are used to the measurement of software quality through the fault detection and modification, such as black box, which box and test automation tools. In this survey, the software test automation tools which predicate and access the software quality at the software development phase for the improvement of the software quality should be introduced.

• Journal of the Korean Society of Radiology
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• v.6 no.4
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• pp.305-311
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• 2012

This study compares the TE and UTE is to evaluate. We was programming by DWT of Matlab Tool-box for evaluation. M-program used feature value extract between TE Images and UTE Images. Two images using the extracted feature values were compared. Comparison of similar features two images phase was found to have value.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.396-396
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• 2000

Multiperiod optimization is the key step to tackle the supply chain optimization problems. Taking supply and demand uncertainty or prediction into consideration during the process synthesis phase leads to the maximization of the profit for the long range time horizon. In this study, new algorithm based on the Genetic Algorithms is proposed for multiperiod optimization formulated in MINLP, GDP and hybrid MINLP/GDP. In this study, the focus is given especially on the design of the Genetic Algorithm suitable to handle disjunctive programming with the same level of MINLP handling capability. Hybridization with the Simulated Annealing is tried. and many heuristics are adopted for this purpose.