• Journal of the Korea Safety Management & Science
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• v.9 no.4
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• pp.29-38
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• 2007

We adapted association rules of data mining in order to investigate the relation among the factors of musculoskeletal disorders and proposed the method of preventing the musculoskeletal disorders associated with multiple logistic regression in previous study. This multiple logistic regression was difficult to establish the method of preventing musculoskeletal disorders in case factors can't be managed by worker himself, i.e., age, gender, marital status. In order to solve this problem, we devised association rules of factors of musculoskeletal disorders and proposed the interactive method of preventing the musculoskeletal disorders, by applying association rules with the result of multiple logistic regression in previous study. The result of correlation analysis showed that prevention method of one part also prevents musculoskeletal disorders of other parts of body.

• Proceedings of the Korea Water Resources Association Conference
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• 1993.07a
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• pp.151-157
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• 1993

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.1
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• pp.133-152
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• 2023

The purpose of this study is to provide basic data to assist students and designers in the fashion industry by examining the trend of designing women's wear using the SCAMPER method. In the research, five SCAMPER methods for fashion design were classified based on the previous studies. From 2018 S/S to 2022 F/W, data from 3,512 photographs were collected and checked for overlapping and were then classified by SCAMPER method. Data analysis was performed using SPSS 26 for frequency analysis. As a result, the most common application of the SCAMPER method was in 2022. First, the most used SCAMPER method for design was the "modify" method, changing details into various forms. The second method was the "adapt" method in which parts of the design or details were added and connected. The third mehtod was the "magnify" method of enlarging the length of the jacket. The fourth method was the "eliminate" method, removing parts of the jacket bodice, collar, or sleeves.

• Journal of Internet Computing and Services
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• v.9 no.6
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• pp.141-153
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• 2008

E-learning is a new paradigm of education using Internet media. E-learning is rapidly expanding, since it is not restricted by time and space. However, due to the lack of standardization in e-learning, learning contents are developed redundantly. SCORM has been proposed to address this standardization problems. The mere learning contents are shared, the higher the reusability of contents becomes. Therefore, it is needed to develop methods or tools to help educators or content producers to create a learning course easily. In this paper, we propose an association method that could help educators or content producers to efficiently generate learning courses for a subject. The association method, a learning course generation method suggested by this paper, makes use of existing learning courses and learning contents to create new learning courses suitable to a subject. The association method analyzes statistical information of leaning objects derived from existing learning courses and measures coherence between learning objects to create a learning course. The association method suggested by this paper not only supports educators or content producers for easy generation of learning course but also offers a guideline for developing learning courses.

• Journal of the Korean Professional Engineers Association
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• v.37 no.3
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• pp.50-53
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• 2004

JSP(Jumbo Super Pile) method is a foundation treatment of mixing in depth, one of the soft ground improvement methods through which settlement and deformation of ground foundation is prevented. An example of this method which is applied for the foundation design of a new drainage pumping station is Introduced, and another applied example for an existing pumping station which is built on soft foundation is also introduced.

• Magazine of korean Tunnelling and Underground Space Association
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• v.1 no.2
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• pp.50-58
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• 1999

The Discontinuous Deformation Analysis (DDA) method is a recently developed technique that can be classified as a DEM method. Shi (1988) first proposed the DDA method in his doctoral thesis; computer programs based on the method have been developed and some applications of the DDA method in rock mechanics have been presented in the doctoral thesis and various publications. During past 11 years (1988 - 1999), considerable progresses have been achieved in developments and applications of the DDA method in the rock mechanics. In this paper the basic theory and developments of the DDA method are presented and applications of DDA method in geotechnical engineering are reviewed.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.11a
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• pp.29-32
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• 2004

Purpose of this study is to maximize inflection of code DGPS for LBS. Compare calibration method with pseudo range revision method for this and decides revision method. Also, examine variation that occur by inconsistency of satellite association of user and standard department for problem solution by satellite association. Model revision information through AR model who use RLSLF and minimises satellite association problem. I wish to do optimized code DGPS of digital map so that is possible through an experiment.

• The KIPS Transactions:PartB
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• v.17B no.2
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• pp.177-182
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• 2010

This paper proposes a new document clustering method using PCA and fuzzy association. The proposed method can represent an inherent structure of document clusters better since it select the cluster label and terms of representing cluster by semantic features based on PCA. Also it can improve the quality of document clustering because the clustered documents by using fuzzy association values distinguish well dissimilar documents in clusters. The experimental results demonstrate that the proposed method achieves better performance than other document clustering methods.

• The Journal of Information Systems
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• v.14 no.3
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• pp.37-47
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• 2005

Mining of association rules is to find associations among data items that appear together in some transactions or business activities. As of today, algorithms for association rule mining, as well as for other data mining tasks, are mostly applied to relational databases. As XML being adopted as the universal format for data storage and exchange, mining associations from XML data becomes an area of attention for researchers and developers. The challenge is that the semi-structured data format in XML is not directly suitable for traditional data mining algorithms and tools. In this paper we present an encoding method to encode XML tree-nodes. This method is used to store the XML data in Value Table and Transaction Table that can be easily accessed via indexing. The hierarchical relationship in the original XML tree structure is embedded in the encoding. We applied this method to association rules mining of XML data that may have missing data.

• Proceedings of the Korea Association of Information Systems Conference
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• 2002.11a
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• pp.289-312
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• 2002

This study suggests the Link weight analysis approach to choose input variables and an integrated model to make more accurate bankruptcy prediction model. the Link weight analysis approach is a method to choose input variables to analyze each input node's link weight which is the absolute value of link weight between an input nodes and a hidden layer. There are the weak-linked neurons elimination method, the strong-linked neurons selection method in the link weight analysis approach. The Integrated Model is a combined type adapting Bagging method that uses the average value of the four models, the optimal weak-linked-neurons elimination method, optimal strong-linked neurons selection method, decision-making tree model, and MDA. As a result, the methods suggested in this study - the optimal strong-linked neurons selection method, the optimal weak-linked neurons elimination method, and the integrated model - show much higher accuracy than MDA and decision making tree model. Especially the integrated model shows much higher accuracy than MDA and decision making tree model and shows slightly higher accuracy than the optimal weak-linked neurons elimination method and the optimal strong-linked neurons selection method.