• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.05a
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• pp.351-356
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• 2007

Factory location selection is very important to the success of operation of the whole supply chain, but few effective solutions exist to deliver a good result, motivated by this, this paper tries to introduce a new factory location selection methodology by employing the artificial neural networks technology. First, we reviewed previous research related to factory location selection problems, and then developed a (neural network-based factory selection model) NNFSM which adopted back-propagation neural network theory, next, we developed computer program using C++ to demonstrate our proposed model. then we did case study by choosing a Korean steelmaking company P to show how our proposed model works,. Finnaly, we concluded by highlighting the key contributions of this paper and pointing out the limitations and future research directions of this paper. Compared to other traditional factory location selection methods, our proposed model is time-saving; more efficient.and can produce a much better result.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.11
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• pp.5592-5609
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• 2017

JPEG steganography detection is an active research topic in the field of information hiding due to the wide use of JPEG image in social network, image-sharing websites, and Internet communication, etc. In this paper, a new steganalysis method for content-adaptive JPEG steganography is proposed by integrating the evolutionary feature selection and classifier ensemble selection. First, the whole framework of the proposed steganalysis method is presented and then the characteristic of the proposed method is analyzed. Second, the feature selection method based on genetic algorithm is given and the implement process is described in detail. Third, the method of classifier ensemble selection is proposed based on Pareto evolutionary optimization. The experimental results indicate the proposed steganalysis method can achieve a competitive detection performance by compared with the state-of-the-art steganalysis methods when used for the detection of the latest content-adaptive JPEG steganography algorithms.

• Communications for Statistical Applications and Methods
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• v.26 no.2
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• pp.149-161
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• 2019

In this article, we suggest the following approaches to simultaneous variable selection and outlier detection. First, we determine possible candidates for outliers using properties of an intercept estimator in a difference-based regression model, and the information of outliers is reflected in the multiple regression model adding mean shift parameters. Second, we select the best model from the model including the outlier candidates as predictors using stochastic search variable selection. Finally, we evaluate our method using simulations and real data analysis to yield promising results. In addition, we need to develop our method to make robust estimates. We will also to the nonparametric regression model for simultaneous outlier detection and variable selection.

• 기술발표회
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• s.2006
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• pp.279-291
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• 2006

This study shows decision-making process for selection of cutoff wall on a wastewater treatment project. There are 10 different cut-off wall methods So, we examine the site to gather information for find appropriate methods. After using that information, 10 cutoff wall methods are reviewed for analysis. Through brainstorming, four alternatives are selected for design VE item. Following the standard VE process, we established performance criteria and evaluated function score(F) using questionnaire. The questionnaires, brainstorming and AHP method for weighting on performance criteria and evaluate function score increased the reliability of this selection process. Water Jet method, one of four methods, has the best function score(F=92.71) and the lease construction cost(as cost index 1,000). The value score also highest as 92.7, so we select the method. The result is value innovation type In addition, the authors try to calculate the environmental burden in selection process using LCA. We cannot conduct the full LCA as defined ISO, so perform Simple LCA In LCA result, the cut-off grouting has the least environmental burden as index 9.09E+01 and Water Jet method has following as the second. To selection best method to specific area and purpose, design VE/LCG process used as useful tool and it is needed to develop integrated method that evaluate VEILCC and LCA as one-set process.

• Korean Journal of Acupuncture
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• v.24 no.2
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• pp.45-59
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• 2007

Objectives : The aim of this study was to show the rationale of point-selection on the methods of acupuncture and moxibustion in the Qi section(in the Naegyeong chapter) of the Donguibogam. Methods : First, We summarized the cause of each disease in the Qi section(in the Naegyeong chapter) of the Donguibogam. Then, We explained the rationale of acupuncture point-selection referring to the cause of disease, physiology of the Oriental medicine, other uses of each acupuncture points in the Donguibogam, character of each acupuncture points, flow of meridian pathways and specific acupuncture points etc. Results and Conclusions : Total 37 acupuncture points were used in the Qi section(in the Naegyeong chapter) of the Donguibogam. Most of acupuncture points were specific acupuncture points. but, some rationale of acupuncture point-selection were explained by the cause of disease, physiology of the Oriental medicine, other uses of each acupuncture points in the Donguibogam, flow of meridian pathways etc.

• Korean Journal of Acupuncture
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• v.24 no.4
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• pp.1-12
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• 2007

Objectives : The aim of this study was to show the rationale of point-selection on the methods of acupuncture and moxibustion in the Phlegm section(in the Naegyeong chapter) of the Donguibogam. Methods : First, We summarized the cause of each disease in the Phlegm section(in the Naegyeong chapter) of the Donguibogam. Then, We explained the rationale of acupuncture point-selection referring to the cause of disease, physiology of the Oriental medicine, other uses of each acupuncture points in the Donguibogam, character of each acupuncture points, flow of meridian pathways and specific acupuncture points etc. Results and Conclusions : Total 9 acupuncture points were used in the Phlegm section(in the Naegyeong chapter) of the Donguibogam. Most of acupuncture points were specific acupuncture points. But, some rationale of acupuncture point-selection were explained by the cause of disease, physiology of the Oriental medicine, other uses of each acupuncture points in the Donguibogam, flow of meridian pathways etc.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.35C no.1
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• pp.1-9
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• 1998

In the circuit model that outputs are latched and input vectors are successively applied at inputs, the gate resizing approach to reduce the delay of the critical pathe may not improve the performance. Since the clock period is etermined by delays of both long and short paths in combinational circuits, the performance (clock period) can be optimized by decreasing the delay of the longest path, or increasing the delay of the shortest path. In order to achieve the desired clock period of a circuit, gates lying in sensitizable long and short paths can be selected for resizing. However, the gate selection in path sensitization approach is a difficult problem due to the fact that resizing a gate in shortest path may change the longest sensitizable path and viceversa. For feasible settings of the clock period, new algorithms and corresponding gate selection methods for resizing are proposed in this paper. Our new gate selection methods prevent the delay of the longest path from increasing while resizing a gate in the shortest path and prevent the delay of the shortest path from decreasing while resizing a gate in the longest sensitizable path. As a result, each resizing step is guaranteed not to increase the clock period. Our algorithmsare teted on ISCAS85 benchmark circuits and experimental results show that the clock period can beoptimized efficiently with out gate selection methods.

• Korean Journal of Acupuncture
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• v.25 no.1
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• pp.73-83
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• 2008

Objectives : The aim of this study was to show the rationale of point-selection on the methods of acupuncture and moxibustion in the Ear Section (in the Oehyeong Chapter) of the Dong Ui Bo Gam. Methods : First, We summarized the cause of each disease in the Ear Section (in the Oehyeong Chapter) of the Dong Ui Bo Gam. Then, We explained the rationale of acupoint-selection referring to the cause of disease, physiology of the Oriental medicine, other uses of each acupoints in the Dong Ui Bo Gam, character of each acupuncture points, flow of meridian pathways and specific acupoints etc. Results and Conclusions : Total 23 acupoints were used in the Ear Section (in the Oehyeong Chapter) of the Dong Ui Bo Gam. Most of acupoints were specific acupuncture points. But, some rationale of acupoint-selection were explained by the cause of disease, physiology of the Oriental medicine, other uses of each acupoints in the Dong Ui Bo Gam, flow of meridian pathways etc.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2007.04a
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• pp.101-104
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• 2007

As the proportion of underground construction increases, the impact of inappropriate selection of a underground construction method for a construction size increases. The purpose of this study is to develop an objective way of selecting an excavation method. There have been several attempts to achieve the same goal using various data mining methods such as the artificial neural network, the support vector machine, and the case-based reasoning. However, they focused only on the selection of a retaining wall construction method out of six types of retaining walls. When we categorized an underground construction work into four groups and added more number of independent variables (i.e., more number of construction methods), the predictability decreased. As an alternative, we developed a decision tree by analyzing 25 earthwork cases with detailed information. We implemented the developed decision tree as a computer-supported program called Dr. underground and are still in the process of validating and revising the decision tree. This study is still in a preliminary stage and will be improved by collecting and analyzing more cases.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.227-234
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• 2011

In this study, we propose order selection methods based on scaled lift. This study is proposed to overcome the problem that the lift used by Park and Kim (2010) takes unbounded values and thus it is hard to know how big (or small) lift value is big (or small). The first scaled lift just scales lift, so that it takes values between 0 and 1, and the second scaled lift scales lift-1, so that it takes values between -1 and 1. In other words, the first method scales lift only and the second methods ceters and scales lift. We apply order selection methods based on scaled lift to acute appendicitis patients in emergency room and compare them with the results based on lift.