• Management Science and Financial Engineering
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• v.17 no.1
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• pp.19-43
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• 2011

Tuning the architecture of SVM (support vector machine) is to build an SVM model of better performance. Two different tuning methods of the grid search and the GA (genetic algorithm) have been addressed in the literature, each of which has its own methodological pros and cons. This paper suggests a combined method for tuning the architecture of SVM models, which employs the GAM (generalized additive models), the grid search, and the GA in sequence. The GAM is used for selecting input variables, and the grid search and the GA are employed for finding optimal parameter values of the SVM models. Applying the method to a bankruptcy prediction problem, we show that SVM model tuned by the proposed method outperforms other SVM models.

• Journal of Applied Reliability
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• v.13 no.3
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• pp.217-227
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• 2013

Reliability growth is defined as the positive improvement in a reliability parameter over a period of time due to implementation of corrective actions to system design, operation or maintenance procedures, or the associated manufacturing process. In recent, the importance of reliability growth management has emerged in the military authority and industries. For effective application of reliability growth models, it is necessary to understand their characteristics and differences. This paper presents the concepts of reliability growth management and compares the features of reliability tracking and projection models centered on MIL-HDBK-189C for selecting the appropriate model for an one-shot system under development.

• Journal of Korean Society for Quality Management
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• v.46 no.4
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• pp.863-876
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• 2018

Purpose: There are several KPI(key performance indicators) models: BSC(balanced scorecard), IPOO(Input-process-output-outcomes) indicators, QCDP(quality-cost-delivery-productivity) indicators. This paper analyze these models and gives some suggestions to help the effective usage of KPI. Methods: This paper reviews and summarize the criteria to evaluate the PI(performance indicators) through literature review. Evaluation and analysis on the PI factors of the KPI developing models is performed by the criteria. Results: Criteria to evaluate the PI, which can be used to evaluate the goodness of PI is suggested. This paper also proposes some suggestions for the KPI models and their factors for the effective development of PI in the organization. Conclusion: This research will help the managers to develop and select useful PI and KPI for their business and processes.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.641-642
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• 2015

Unlike for other building processes, BIM for earthwork does not need a large variety of 3D model shapes; however, it requires a 3D model that can efficiently reflect the changing features of the ground shape and provide soil type-dependent workload calculation and information on equipment for optimal management. Objects for earthwork have not yet been defined because the current BIM system does not provide them. The BIM technology commonly applied in the manufacturing center uses real-object data obtained through 3D scanning to generate 3D parametric solid models. 3D scanning, which is used when there are no existing 3D models, has the advantage of being able to rapidly generate parametric solid models. In this study, A method to generate 3D models for earthwork operations using reverse engineering is suggested. 3D scanning is used to create a point cloud of a construction site and the point cloud data are used to generate a surface model, which was then converted into a parametric model with 3D objects for earthwork

• Journal of the Korean association of regional geographers
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• v.17 no.2
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• pp.245-258
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• 2011

Best management practices (BMPs) are widely accepted and implemented as a mitigation method for soil erosion and non-point source problems. Estimating the amount of soil erosion and the effectiveness of BMPs using hydrological models help to understand the condition, identify the problems, and make plans for conservation practices in an area, typically a watershed. However, the accuracy and reliability of assessment of BMP impacts estimated by hydrological models can be often questionable due to the uncertainties from various sources including GIS(Geographic Information System) data, scale, and model. This study reviewed the development and the background of hydrological models, and the modeling issues such as the selection of models, scale, and uncertainties of data and models. This study also discussed the advantage of a small scale and spatially distributed model to estimate the impacts of BMPs.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.310-314
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• 2023

The purpose of this study is to predict the remaining capacity of lithium-ion batteries and evaluate their performance using five artificial intelligence models, including linear regression analysis, decision tree, random forest, neural network, and ensemble model. We is in the study, measured Excel data from the CS2 lithium-ion battery was used, and the prediction accuracy of the model was measured using evaluation indicators such as mean square error, mean absolute error, coefficient of determination, and root mean square error. As a result of this study, the Root Mean Square Error(RMSE) of the linear regression model was 0.045, the decision tree model was 0.038, the random forest model was 0.034, the neural network model was 0.032, and the ensemble model was 0.030. The ensemble model had the best prediction performance, with the neural network model taking second place. The decision tree model and random forest model also performed quite well, and the linear regression model showed poor prediction performance compared to other models. Therefore, through this study, ensemble models and neural network models are most suitable for predicting the remaining capacity of lithium-ion batteries, and decision tree and random forest models also showed good performance. Linear regression models showed relatively poor predictive performance. Therefore, it was concluded that it is appropriate to prioritize ensemble models and neural network models in order to improve the efficiency of battery management and energy systems.

• The Transactions of the Korea Information Processing Society
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• v.7 no.8
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• pp.2505-2513
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• 2000

This paper describes the design and implementation of a CORBA/SNMP gateway. The gateway is used to integrate traditional network management systems using CORBA. The integrated network management system uses World Wide Web (WWW) and CORBA. WWW provides a platform-independent and easy-to-use interface to distributed applications and CORBA is used to integrate different network management models seamlessly. To support the traditional managed objects without modification, we use a translation gateway between two different management models. The integrated network management server consists of a WWW server with enhancement for network management and translation gateways for converting management operations between different management models. This paper describes the design and implementation of a CORBA/SNMP gateway. The CORBA/SNMP gateway provides a syntactic and dynamic translation between CORBA and SNMP management models. The gateway provides a CORBA view to SNMP MIBs and allows the CORBA managers to access SNMP agents via CORBA operations. The CORBA/SNMP gateway also delivers the traps occurred in the SNMP agents to the CORBA managers that want to receive the trap information.

• Journal of the Korea Safety Management & Science
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• v.6 no.1
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• pp.257-268
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• 2004

According to the World Competitiveness Yearbook(WCY), competitiveness of nations looks how nations create and maintain an environment which sustains the competitiveness of its enterprises. To develop economics and join the ranks of the advanced countries in the global market, Korea needs to consider the national competitiveness. Consequently, in this study, first, we try to know a concept of national competitiveness. Second, we also investigate models of national competitiveness. Finally, we suggest an improvement strategy, which is based on models, as compared with many countries of Europe.

• Proceedings of the Safety Management and Science Conference
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• 2010.11a
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• pp.551-557
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• 2010

The research proposes the hypergeometric, binomial and Poisson yield models for defective and defect. The paper also presents the hypothesis test, confidence interval and control charts for DPU(Defect Per Unit) and DPO(Defect Per Opportunity). Especially the study considers the analysis of compound Poisson yield models using various DOU density distributions.

• Journal of the Korean Operations Research and Management Science Society
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• v.3 no.2
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• pp.41-45
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• 1978

Duel models are frequently used in war game simulation. Both game-theoretic approach and stochastic approach are applied to duel situations in war game. Game-theoretic models are usually classified into three categories, noisy duel, silent duel, and duel of continuous firing. Stochastic duels are classified depending upon assumptions. In this paper formulation and a general solution for each model will be summarized.