• Journal of Korea Society of Digital Industry and Information Management
• /
• v.20 no.2
• /
• pp.1-10
• /
• 2024

For the purpose of predicting credit card customer churn accurately through data analysis, a model can be constructed with various machine learning algorithms, including decision tree. And feature importance has been utilized in selecting better input features that can improve performance of data analysis models for several application areas. In this paper, a method of utilizing feature importance calculated from the MDI method and its effects are investigated in the credit card customer churn prediction problem with classification trees. Compared with several random feature selections from case data, a set of input features selected from higher value of feature importance shows higher predictive power. It can be an efficient method for classifying and choosing input features necessary for improving prediction performance. The method organized in this paper can be an alternative to the selection of input features using feature importance in composing and using classification trees, including credit card customer churn prediction.

• Proceedings of the IEEK Conference
• /
• 2002.07a
• /
• pp.30-33
• /
• 2002

To obtain good performance of radial basis function (RBF) neural networks, it needs very careful consideration in design. The selection of several parameters such as the number of centers and widths of the radial basis functions must be considered carefully since they critically affect the network's performance. We propose a learning algorithm for growing of complexity of RBF neural networks which is adapted automatically according to the complexity of tasks. The algorithm generates a new basis function based on the errors of network, the percentage of decreasing rate of errors and the nearest distance from input data to the center of hidden unit. The RBF's center is located at the point where the maximum of absolute interference error occurs in the input space. The width is calculated based on the standard deviation of distance between the center and inputs data. The steepest descent method is also applied for adjusting the weights, centers, and widths. To demonstrate the performance of the proposed algorithm, general problem of function estimation is evaluated. The results obtained from the simulation show that the proposed algorithm for RBF neural networks yields good performance in terms of convergence and accuracy compared with those obtained by conventional multilayer feedforward networks.

• Proceedings of the KIEE Conference
• /
• 2005.07d
• /
• pp.3037-3039
• /
• 2005

The AIS(Automatic Identification System) transmits the position of ships and other information to prevent accidents which could occur in the sea. It has to be developed SOTDMA(Self-Organized Time Division Multiple Access) Algorithm which is important on wireless communication method for the AIS because It is based on ITU(International Telecommunication Union) M.1371-1 of the international standard therefore, we need to develop a performance evaluation simulator efficiently to develop and analyze SOTDMA Algorithm. this paper shows the method of designing it. Real ships access The VHF maritime mobile band but in this performance evaluation simulator several ship objects access the shared memory. Real ships are designed as the object and the wireless communication channel is designed as the shared memory. The ships apply for real virtual data which got from assistance hardware and The SOTDMA Algorithm driving state verifies the performance evaluation simulator by IEC(International Electrotechnical commission) 61993-2. After verifying results the performance evaluation simulator is correctly satisfied with IEC 61993-2. So we expect that it helps not only the AIS technology developed but also verify new SOTDMA Algorithm

• Proceedings of the KIEE Conference
• /
• 2005.10b
• /
• pp.478-480
• /
• 2005

The AIS(Automatic Identification System) transmits the position of ships and other information to prevent accidents which could occur in the sea. It has to be developed SOTDMA(Self-Organized Time Division Multiple Access) Algorithm which is important on wireless communication method for the AIS because It is based on ITU(International Telecommunication Union) M.1371-1 of the international standard therefore, we need to develop a performance evaluation simulator efficiently to develop and analyze SOTDMA Algorithm. This paper shows the method of designing it. Real ships access The VHF maritime mobile band but in this performance evaluation simulator several ship objects access the shared memory. Real ships are designed as the object and the wireless communication channel is designed as the shared memory. The ships apply for real virtual data which got from assistance hardware and The SOTDMA Algorithm driving state verifies the performance evaluation simulator by IEC(International Electrotechnical commission) 61993-2. After verifying results the performance evaluation simulator is correctly satisfied with IEC 61993-2. So we expect that it helps not only the AIS technology developed but also verify new SOTDMA Algorithm.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.22 no.3
• /
• pp.374-383
• /
• 1998

Apparel Quality was one of the most important elements to evaluate the reputations of companies and products which affect the consumer's purchasing behavior. From researches on apparel quality, there was no common concept of quality as well as no common dimensions. The purposes of this study were to identify apparel quality concept and to classify the multi-dimensional concept of apparel quality. The research was carried out in theoretical as well as empirical studies. The theoretical study was conducted to find out apparel quality concept and divide apparel quality concept into four dimensions groups. The empirical study followed the theoretical study to confirm the multi-dimensional concept of apparel quality. The empirical study was investigated that the questionnaire was administered to 634 housewives in Seoul, Kwangju, and Busan during the fall of 1996. The data were analysed by LISREL analysis. This study identified that apparel quality was characteristics of consumer's desires for apparel. The results of the theoretical study verified that apparel quality concept was organized into four different dimensions: physical attribute, physical function, instrumental performance, and expressive performance.

• KIPS Transactions on Software and Data Engineering
• /
• v.2 no.2
• /
• pp.107-112
• /
• 2013

With the progress of NGS technologies, large genome data have been exploded recently. To analyze such data effectively, the assistance of HPC technique is necessary. In this paper, we organized a genome analysis pipeline to call SNP from NGS data. To organize the pipeline efficiently under HPC environment, we analyzed the CPU utilization pattern of each pipeline steps. We found that sequence alignment is computing centric and suitable for parallelization. We also analyzed the performance of parallel open source alignment tools and found that alignment method utilizing many-core processor can improve the performance of genome analysis pipeline.

• Advances in concrete construction
• /
• v.10 no.3
• /
• pp.257-269
• /
• 2020

The aim of this study is to investigate the flexural performance of hybrid fiber reinforced self-compacting concrete (HFRSCC) having different ratio of micro and macro steel fiber. A total of five mixtures are prepared. In all mixtures, the sum of the steel fiber content is 1% and also water/binder ratio is kept constant. The amount of high range water reducer admixture (HRWRA) is arranged to satisfy the workability criteria of self-compacting concrete. Four-point bending test is carried out to analyze the flexural performance of the mixtures at 28 and 56 curing days. From the obtained load-deflection curves, the load carrying capacity, deflection and toughness values are investigated according to ASTM C1609, ASTM C1018 and JSCE standards. The mixtures containing higher ratio of macro steel fiber exhibit numerous micro-cracks and, thus, deflection-hardening response is observed. The mixture containing 1% micro steel fiber shows worst performance in the view of all flexural parameters. An improvement is observed in the aspect of toughness and load carrying capacity as the macro steel fiber content increases. The test results based on the standards are also compared taking account of abovementioned standards.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.18 no.3
• /
• pp.79-88
• /
• 2008

On the internet, the NIDS(Network Intrusion Detection System) has been widely deployed to protect the internal network. The NIDS builds a set of rules with analysis results on illegal packets and filters them using the rules, thus protecting the internal system. The number of rules is ever increasing as the attacks are becoming more widespread and well organized these days. As a result, the performance degradation has been found severe in the rule application fer the NIDS. In this paper, we propose a multiple pattern matching scheme to improve rule application performance. Then we compare our algorithm with Wu-Mantel algorithm which is known to do high performance multi-pattern matching.

• Korea Trade Review
• /
• v.46 no.1
• /
• pp.59-81
• /
• 2021

This paper aims to analyze Korea's trade and investment performance in Spain and the business environment of Spain, and to find efficient strategies for entering into the Spanish market. This study is organized into five chapters. To begin with, it explains an overview of the Spanish economy and the current status of its major industries. Then, it analyzes Korea's trade and investment performance in Spain, the structure of comparative advantage and the trade trends of major import and export items, since 2011 when the Korea-EU FTA went into effect. Lastly, based on the results of this analysis, Korea's strategies for entering into the Spanish market are derived. The strategies derived from the analysis are as follows: (1) entering startups in the Spanish market through CVC cooperation and participation in large tech forums, (2) linking the Spanish interest in K-Culture to consumer goods exports, (3) promoting cooperation in the IT industry in response to the Spanish government's 'Connected Industry 4.0', (4) building a new Korean-Spanish value chain in response to the mobility revolution, (5) advancing jointly into a third country by combining the strengths of both Korea and Spain, (6) cooperating with the Spanish government to establish a sustainable energy policy, (7) promoting jointly with the Spanish government through smart city strategies and project exchanges, and (8) building a European logistics hub in Spain in preparation for post-Brexit.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.38 no.4
• /
• pp.88-97
• /
• 2015

Quality management system is a systematic quality improvement approach for firm-wide management for the purpose of improving performance in terms of quality, productivity, organizational characteristics, customer satisfaction, and firm's profitability. Recently, many researchers have examined the relationship between quality management system and firm's performance. The conclusion from these studies is that effective implementation of quality management system improves firm's performance. This paper extends the existing research on quality management system and firm's performance by examining how the impact of quality management system on firm's performance is moderated by organizational characteristics and customer satisfaction. The paper is organized as follows. Section 1 introduces the necessity and purpose of the research. Section 2 reviews quality management system and summarizes the results of previous studies. Section 3 present the proposed research model, the hypotheses related to the relationship between quality management system and firm's performance. Section 4 provides results from the data analysis. Section 5 presents discussions, results, further implications, and research limitations. An extensive literature research was designed to identify and retrieve empirical studies relevent to develop the hypotheses. The objectives of this study identify the factors of quality management system on business performance. The results are as follows: First, The management responsibility, resource management and product realization influenced significantly on financial performance. The management responsibility and product realization influenced significantly on non-financial performance. Second, the research showed a fact that organizational characteristics and customer satisfaction effect as a moderated between quality management system and business performance. The implications of our results are that organizational characteristics and customer satisfaction moderate the firm's performance.