• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.49-62
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• 2024

In this paper, a sustainable closed-loop supply chain (SCLSC) network model is proposed for domestic mobile phone industry. Economic, environmental and social factors are respectively considered for reinforcing the sustainability of the SCLSC network model. These three factors aim at minimizing total cost, minimizing total amount of CO₂ emission, and maximizing total social influence resulting from the establishment and operation of facilities at each stage of the SCLSC network model. Since they are used as each objective function in modeling, the SCLSC network model can be a multi-objective optimization problem. A mathematical formulation is used for representing the SCLSC network model and a hybrid meta-heuristic approach is proposed for efficiently solving it. In numerical experiment, the performance of the proposed hybrid meta-heuristic approach is compared with those of conventional meta-heuristic approaches using some scales of the SCLSC network model. Experimental results shows that the proposed hybrid meta-heuristic approach outperforms conventional meta-heuristic approaches.

• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.83-88
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• 2007

In this paper, we introduce MDA based Development Method for Embedded Software Component. This method applies MDA approach to solve problems about reusability of the heterogeneous embedded software system. With our proposed method, we produce 'Target Independent Meta Model'(TIM) which is transformed into 'Target Specific Model'(TSM) and generate 'Target Dependent Code' (TDC) via TSM. We would like to reuse a meta-model to develop heterogeneous embedded software systems. To achieve this mechanism, we extend xUML to solve unrepresented elements (such as real things about concurrency, and real time, etc) on dynamic modeling of the particular system. We introduce 'MDA based Embedded S/W Modeling Tool' with extended XUML. With this tool, we would like to do more easily modeling embedded or concurrent/real time s/w systems. It contains two examples of heterogeneous imbedded systems which illustrate the proposed approach.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.572-581
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• 2009

Study on the class using XMI Meta model and XML MetaDats has significant difference from the method of Data creation which is widely used. Most of MXL System are focusing on the editor funcition, Database connection and Generation of Markup language. Unlikelly, however, this study has focused on the creation of Markup language of Class MetaData which are extracted from MXI data modedl. In addition to that, the attribute of unit element within the class and the relationship between the classes within the model were set to be given and expressed respectively. For the generation of Markup language, XML schema was used to declare the detail data type.

• Journal of the Korean Data and Information Science Society
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• v.22 no.3
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• pp.459-466
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• 2011

This article addresses robust Bayesian modeling for meta analysis which derives general conclusion by combining independently performed individual studies. Specifically, we propose hierarchical Bayesian models with unknown variances for meta analysis under priors which are scale mixtures of normal, and thus have tail heavier than that of the normal. For the numerical analysis, we use the Gibbs sampler for calculating Bayesian estimators and illustrate the proposed methods using actual data.

• The Journal of Korean Association of Computer Education
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• v.8 no.6
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• pp.1-12
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• 2005

IT education in the colleges or universities and IT industry in producing IT manpower are urgently called for to balance its supply and demand. To correct this problem, Ministry of Information and Communication launched a program where demand-oriented curriculums are developed and applied to colleges. This paper proposes a design technique based on meta-model and software development process in developing curriculums and courses. This meta-modeling technique is proven to result in the extendibility, flexibility and quality improvement in software design. Therefore, we expect that proposed technique makes it possible to be improved in quality.

• The Transactions of the Korea Information Processing Society
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• v.6 no.8
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• pp.2072-2087
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• 1999

As software size ever increases and user's requirements become more and more sophisticated., the importance of software quality is more and more emphasized. However, we are not satisfied for the present techniques on detecting errors and checking consistency in the object-oriented design model. This paper proposes a systematic approach which produces implementable rules to detect errors and check consistency. At first, the meta-models for UML diagrams are constructed, generalized meta-rules are reduced from the meta-models, and then the meta-rules are applied to produce the implementable rules. This approach enables to pursue the completeness of the rules and the automation of rule application. An example of rule application shows the feasibility of the rule application.

• Journal of the Korean Operations Research and Management Science Society
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• v.18 no.3
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• pp.79-100
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• 1993

This paper proposes an idea of reverse modeling that analyzes LP models and then converts them into an object-oriented model repository. The process of reverse modeling consists of (1) identifying and analyzing source models by meta processor, (2) model decomposition and generalization to scan the models and divide them into model components, and (3) deriving model selection rules from the components by rule generator. Through the process, we can extract reusable model components and build a model base with model selectioon rules. Examples with models created by SML and MODLER modeling languages are given to illustrate the methods. The model base management capabilities provided by reverse modeling can increase the reusabioity of current modeling tools.

• Korean Journal of Radiology
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• v.19 no.6
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• pp.1110-1118
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• 2018

Objective: To perform a meta-analysis to quantitatively assess functional magnetic resonance imaging (MRI) in the diagnosis of locally recurrent prostate cancer. Materials and Methods: A comprehensive search of the PubMed, Embase, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews was conducted from January 1, 1995 to December 31, 2016. Diagnostic accuracy was quantitatively pooled for all studies by using hierarchical logistic regression modeling, including bivariate modeling and hierarchical summary receiver operating characteristic (HSROC) curves (AUCs). The Z test was used to determine whether adding functional MRI to T2-weighted imaging (T2WI) results in significantly increased diagnostic sensitivity and specificity. Results: Meta-analysis of 13 studies involving 826 patients who underwent radical prostatectomy showed a pooled sensitivity and specificity of 91%, and the AUC was 0.96. Meta-analysis of 7 studies involving 329 patients who underwent radiotherapy showed a pooled sensitivity of 80% and specificity of 81%, and the AUC was 0.88. Meta-analysis of 11 studies reporting 1669 sextant biopsies from patients who underwent radiotherapy showed a pooled sensitivity of 54% and specificity of 91%, and the AUC was 0.85. Sensitivity after radiotherapy was significantly higher when diffusion-weighted MRI data were combined with T2WI than when only T2WI results were used. This was true when meta-analysis was performed on a per-patient basis (p = 0.027) or per sextant biopsy (p = 0.046). A similar result was found when $^1H$-magnetic resonance spectroscopy ($^1H$-MRS) data were combined with T2WI and sextant biopsy was the unit of analysis (p = 0.036). Conclusion: Functional MRI data may not strengthen the ability of T2WI to detect locally recurrent prostate cancer in patients who have undergone radical prostatectomy. By contrast, diffusion-weight MRI and $^1H$-MRS data may improve the sensitivity of T2WI for patients who have undergone radiotherapy.

• Environmental and Resource Economics Review
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• v.12 no.2
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• pp.275-298
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• 2003

This paper compares the economic effects of climate policy options in Korea. The impacts and implications of carbon and Btu tax schemes are analyzed using the META Net modeling system, which was developed at the Lawrence Livermore National Laboratory (LLNL). Findings indicate that carbon tax is more cost effective compared to Btu tax, but this does not necessarily mean the former is more desirable than the latter. Energy market stability and national energy security is equally important in choosing policy options. Moreover Btu tax is more effective in reducing energy consumption in general. It reduces not only carbon intensive energy sources, but non-fossil fuel like electricity. Korean economy consumes too much energy and energy efficiency is very low compared to other OECD countries. So the reduction of energy demand growth should be the first priority of the national energy policy in Korea.

• Journal of the Korea Institute of Military Science and Technology
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• v.6 no.3
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• pp.86-102
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• 2003

Polynitrogen molecules are of great interest as potential high energy-density materials, and hence such structures of various isomers of nitrogen clusters have been calculated using molecular modeling techniques by the researchers from various sectors of scientific institutions. In this article, the predicted meta-stable structures of these hypothetical molecules have been thoroughly reviewed.