• ETRI Journal
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• v.29 no.3
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• pp.336-352
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• 2007

Sequential pattern mining has become an essential task with broad applications. Most sequential pattern mining algorithms use a minimum support threshold to prune the combinatorial search space. This strategy provides basic pruning; however, it cannot mine correlated sequential patterns with similar support and/or weight levels. If the minimum support is low, many spurious patterns having items with different support levels are found; if the minimum support is high, meaningful sequential patterns with low support levels may be missed. We present a new algorithm, weighted interesting sequential (WIS) pattern mining based on a pattern growth method in which new measures, sequential s-confidence and w-confidence, are suggested. Using these measures, weighted interesting sequential patterns with similar levels of support and/or weight are mined. The WIS algorithm gives a balance between the measures of support and weight, and considers correlation between items within sequential patterns. A performance analysis shows that WIS is efficient and scalable in weighted sequential pattern mining.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.374-379
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• 2003

본 논문에서는 pattern recognition을 위하여 support vector fuzzy inference system을 제안하였다 Fuzzy inference system의 structure와 parameter를 identification 하기 위하여 Support vector machine을 이용하였으며 에러 최소화 기법으로는 gradient descent 방법을 사용하였다. 제안된 SVFIS 방법의 성능을 파악하고자 COIL 이미지를 이용한 3차원 물체 인식 실험을 수행하였다.

• Journal of Korea Game Society
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• v.18 no.2
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• pp.121-130
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• 2018

Most of those studies use frequency, the number of times a pattern appears in a transaction database, as the key measure for pattern interestingness. It prerequisites that any interesting pattern should occupy a maximum portion of the transactions it appears. But in our real world scenarios the completeness of any pattern is more likely to become various in transactions. Hence, we should also consider the problem of finding the qualified patterns with the significant values of the weighted support by completeness in order to reduce the loss of information within any pattern in transaction. In these pattern recommendation applications, patterns with higher completeness may lead to higher recall while patterns with higher completeness may lead to higher recall while patterns with higher frequency lead to higher precision. In this paper, we propose a measure of weighted support and completeness and an algorithm WSCFPM(weigted support and completeness frequent pattern mining). Our algorithm handles the invalidation of the monotone or anti-monotone property which does not hold on completeness. Extensive performance analysis show that our algorithm is very efficient and scalable for word pattern mining.

• Journal of the Korean GEO-environmental Society
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• v.9 no.7
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• pp.25-35
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• 2008

In domestic cases, the standard support pattern of 2-lanes road tunnels is presented because construction experience and high degree various data was abundant. But, it is not desirable to apply standard for 2-Arch tunnels that the precedent and measuring data is insufficient existing support pattern blasting plan and interpretation of separate way concerning specific terrain and rock quality. In this study, behavior according to load distribution ratio and Unsymmetrical Pressure about standard support pattern which is applied in design and construction of 2-arch tunnels was analysed and the examination of blasting vibration has influence on the center wall is conducted as a consequence reasonableness of support whether or not with presumed support pressure and ground reaction curve method. In result appropriateness of standard support pattern, support quantity is proper but considers specific terrain and rock quality condition when design and construction of further step 2-arch tunnel standard support pattern must be decided by considering terrains, soil properties and construction condition of the objective tunnel.

• The Journal of Engineering Geology
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• v.5 no.2
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• pp.167-179
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• 1995

The only three elements such as RQD, N -value and Es were used as a quantitative standard for the design of supporr pattern determidetion on subway line 8th in Seoul. Because the support pattern that was obtained by these elements could not he determined on the basis of the quantitative of geology and the orientations and properties of discontinuity planes, there have been some problems in determining the economic support pattern and tunnel stability. Therefore, in an attempt to determine the stable and economic support pattern with more quantitative elements, more flerrible rock mass classification with geologic conditions was performed by using RMR at 1745 sections and Q-system at 374 sections within Seongnam block on subway line 8th. Then, rusults by these two methods were compared with standard support pattern of the subway line 8th. Moreover, relationships between geology, geologic structures and topography to rock mass grades were studied. According to the rusult of this study, it is judged that the standard support pattern designed with PD-4 or PS - 4 should have been subdivided into 4~6 support patterns. Some sections where geologic structures such as faults and joints are developed tend to have rock mass grades. And they also have low rock mass grades near valley. On thr other hand, they show intermediate grades at piedmont area and the greatest ones at high mountains.

• Proceedings of the Korean Geotechical Society Conference
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• 2005.03a
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• pp.1275-1282
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• 2005

This paper deals with the numerical study for excavation crossing the fault zone and the change of support pattern in field. The numerical analyses by FLAC program were performed to evaluate the suitable support pattern influenced by the width of Fault Zone, considering rock mass condition(RMR classification). Based on the results, it is found that partial reinforcement or degrading support pattern is suitable, when the width of Fault is under 3m. But when the width of Fault is more than 6m(0.5D), extra support pattern for fault zone is acceptable. At field, this result is generally used as a guide in the construction of roadway tunnel, but it is also possible to vary this assessment along the condition of fault.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.274-282
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• 2005

Customer retention is one of the major issued in life insurance industry, in which competition is increasingly fierce. There are many things to do to retain customers. One of those things is to be continuously in touch with all customers. The objective of this study is to design the contact scheduling system(CSS) to support the planers who must touch the customers without having subjective information. Support-planers suffer from lack of information which can be used to intimately touch. CSS that is developed in this study generates contact schedule to touch customers by taking into account existing contact history. CSS has a two stage process. In the first stage, it segments customers according to his or her demographics and contract status data. Then it finds typical pattern and pattern is combined to business rules for each segment. We expert that CSS would support support-planers to make uncontacted customers' experience positive.

• Journal of Korean Academy of Nursing Administration
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• v.7 no.2
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• pp.349-359
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• 2001

This study was attempted to provide the basic data concerning development of stress management program for hospital nurses, and to focused on the analysis of job stress and social support according to the types of behavior pattern. The subjects were 296 staff nurses at a general hospital in Seoul. Data were collected with self-reported questionnaires and analyzed by SPSS-PC+ 8.0 win for descriptive analysis and ANOVA analysis. The results of this study indicated that; 1) The perceived job stress was negatively correlated with social support and was positively correlated with TABP. 2) The score of the perceived job stress was higher in TABP nurses than TBBP. The TABP nurses usually perceived more support from peers than from supervisors These results showed that the staff nurses who supported from supervisor felt less stress, and the score of the perceived job stress was higher in TABP nurses than in TBBP. So the differences in social support and job stress according to the types of behavior pattern must be considered significantly in development of the staff nurses' stress management program. Also it was needed to develop the strategies that TABP nurses was effectively supported by the supervisor.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.11 no.3
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• pp.204-210
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• 2011

This paper proposes a fuzzy support vector machine ($FSVM_n$) pattern classifier to classify the arrhythmia patterns of an electrocardiograph (ECG). The $FSVM_n$ is a pattern classifier which combines n-dimensional fuzzy membership functions with a slack variable of SVM. To evaluate the performance of the proposed classifier, the MIT/BIH ECG database, which is a standard database for evaluating arrhythmia detection, was used. The pattern classification experiment showed that, when classifying ECG into four patterns - NSR, VT, VF, and NSR, VT, and VF classification rate resulted in 99.42%, 99.00%, and 99.79%, respectively. As a result, the $FSVM_n$ shows better pattern classification performance than the existing SVM and FSVM algorithms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.4861-4868
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• 2011

This study intends to investigate the health behavior, self-efficacy, behavior pattern and social support among hospital of nurses, to provide the basic data for self-efficacy promoting program and social support promoting program. The self-administered questionnaires were given to 202 nurses employed in hospital during the period from June 10 to June 26, 2011. As a results, the score of level of self-efficacy was statistically significant difference according to educational status, working period, marital state, place of duty, religion, night-duty, distribution of household labor, exercise and stress management. The score of level of social support was statistically significant difference according to place of duty, religion and distribution of household labor, alcohol drinking, smoking, and stress management. But the score of level of behavior pattern was not statistically significant difference according to self-efficacy and social support. In correlation, the score of self-efficacy level correlated positively with social support and not with behavior pattern.