• Journal of the Korean Data and Information Science Society
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• v.26 no.3
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• pp.611-618
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• 2015

By Wikipedia, big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Data mining is the computational process of discovering patterns in huge data sets involving methods at the intersection of association rule, decision tree, clustering, artificial intelligence, machine learning. Association rule is a well researched method for discovering interesting relationships between itemsets in huge databases and has been applied in various fields. There are positive, negative, and inverse association rules according to the direction of association. If you want to set the evaluation criteria of association rule, it may be desirable to consider three types of association rules at the same time. To this end, we proposed a balanced comparative confidence considering sensitivity, specificity, false positive, and false negative, checked the conditions for association threshold by Piatetsky-Shapiro, and compared it with comparative confidence and inversely comparative confidence through a few experiments.

• Journal of Korean Critical Care Nursing
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• v.11 no.1
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• pp.35-45
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• 2018

Purpose : Nurses' knowledge regarding advance directives may affect their administration of and confidence towards end of life care. This study aimed to describe the relationships of knowledge, confidence, and learning needs with advance directives among hospital nurses. Method : This cross-sectional study was performed at a tertiary university hospital in Seoul between September 25 and October 14, 2017. Convenience sampling was used to recruit nurses who provided bedside care and had at least 1 year of clinical experience. We used a validated self-report questionnaire. Results : The mean score of knowledge, confidence and learning needs were $5.00{\pm}1.73$, $29.81{\pm}7.52$, and $64.54{\pm}8.48$ respectively. Hospital nurses' knowledge, confidence and learning needs were significantly different according to age, job position, educational level and perceived advance directives. Knowledge regarding advance directives was significantly associated with confidence (r = .27, p < .001) and learning needs (r = .16, p = .005). Conclusion : Knowledge regarding advance directives was relatively low compared to the findings of previous studies. Therefore, nurses should be knowledgeable and encouraged to initiate advance directives. It is necessary to develop a standardized educational program regarding advance directives based on Korean cultures.

• English Language & Literature Teaching
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• v.11 no.4
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• pp.261-286
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• 2005

Lately, teaching methods and instruments have become student-centered and are directed towards developing a communicative competence of learners. However, compared with that of other countries, the level of our students English is not very good. I guess the reason is that our English education is focused on the uniformal teaching methods regardless of the differences of intelligence, affective domains and study time. I tried to find the relationship between these factors and the students' English accomplishments. So I divided the students into 2 groups of superior and inferior students by the standard of intelligence, affective domain and study time and compared the scores between the groups in the fields of reading comprehension, grammar, pronunciation, accent, vocabulary, and listening. These were the results that followed: First, intelligence has a great influence students' English accomplishment in all fields. Second, affective domains such as motivation, anxiety, attitude, confidence, and studying time also have some influence on the students' English accomplishments. Third, the sequence of these factors according to their influence force are as follows: study time, anxiety, intelligence, motivation, attitude, and confidence. So we can conclude that we should teach English according to our students' ability in the field of intelligence and affective domains and should not ignore the individual differences they have.

• The Journal of Korean Academic Society of Nursing Education
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• v.18 no.1
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• pp.102-110
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• 2012

Purpose: The purpose of this study was to evaluate the effects of BLS training in nursing students and their retention period. Methods: The participants were 48 nursing students enrolled in M University in Mokpo. Data were collected from September, 2009 through September 2010. Nursing students were tested for their knowledge, attitude, confidence before, immediately after, 4 weeks after, 8 weeks after, 6 months after, and 1 year after BLS training. In addition, their knowledge and skill of cardiopulmonary resuscitation were tested 5 times. Data were analyzed using the SPSS/PC 12.0 statistical program Results: Knowledge, attitude and confidence were significantly increased immediately after compared to before BLS training. Knowledge and confidence 6 months after, and attitude, performance ability and technical precision for ventilation and compression 4 weeks after BLS training were significantly decreased compared to immediately after. Conclusion: Overall retention of BLS training effects among nursing students, without reinforcement, decreases significantly after six months following initial training. BLS training in nursing students should be repeated every six months, especially performance training of BLS should be repeated every 4 weeks. In addition, to maintain the knowledge and skills of BLS, appropriate renewal time of certification and improvement of training programs are necessary.

• Journal of Information Processing Systems
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• v.16 no.5
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• pp.1145-1157
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• 2020

A convolution neural networks (CNNs) has demonstrated outstanding performance compared to other algorithms in the field of face recognition. Regarding the over-fitting problem of CNN, researchers have proposed a residual network to ease the training for recognition accuracy improvement. In this study, a novel face recognition model based on game theory for call-over in the classroom was proposed. In the proposed scheme, an image with multiple faces was used as input, and the residual network identified each face with a confidence score to form a list of student identities. Face tracking of the same identity or low confidence were determined to be the optimisation objective, with the game participants set formed from the student identity list. Game theory optimises the authentication strategy according to the confidence value and identity set to improve recognition accuracy. We observed that there exists an optimal mapping relation between face and identity to avoid multiple faces associated with one identity in the proposed scheme and that the proposed game-based scheme can reduce the error rate, as compared to the existing schemes with deeper neural network.

• Geomechanics and Engineering
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• v.35 no.5
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• pp.499-509
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• 2023

The objective of this study is to perform outlier analysis to obtain the distribution of groundwater levels through the best model. The groundwater levels are measured in 10, 25 and 30 piezometers in Seoul, Daejeon and Suncheon in South Korea. Fifty-eight empirical distribution functions were applied to determine a suitable fit for the measured groundwater levels. The best fitted models based on the measured values are determined as the Generalized Pareto distribution, the Johnson SB distribution and the Normal distribution for Seoul, Daejeon and Suncheon, respectively; the reliability is estimated through the Anderson-Darling method. In this study, to choose the appropriate confidence interval, the relationship between the amount of outlier data and the confidence level is demonstrated, and then the 95% is selected at a reasonable confidence level. The best model shows a smaller error ratio than the GEV while the Mahalanobis distance and outlier labelling methods results are compared and validated. The outlier labelling and Mahalanobis distance based on median shown higher validated error ratios compared to their mean equivalent suggesting, the methods sensitivity to data structure.

• Communications for Statistical Applications and Methods
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• v.6 no.1
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• pp.293-303
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• 1999

When test outcomes of units are dichotomous and he infection rate is small group testing is more efficient that noe-to-one testing in estimating the true p and classifying units as infected or not. In this paper two-sided hypothesis testing and confidence intervals are derived based on the UMP(uniformly most powerful) unbiased test. The UMP unbiased approach is compared with Thompson's and Bhattacharyya et al.'s approaches by computing the length of confidence intervals and capture probabilities and shown to have a number of desirable properties. Unequal allocation one of advantages of the proposed approach is also mentioned.

• Communications for Statistical Applications and Methods
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• v.9 no.2
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• pp.459-471
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• 2002

In applications using a linear regression model with nested error structure, one might be interested in making inferences concerning variance components. This article proposes approximate confidence intervals on the variance component of the primary level in a simple linear regression model with an unbalanced nested error structure. The intervals are compared using computer simulation and recommendations are provided for selecting an appropriate interval.

• Communications for Statistical Applications and Methods
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• v.4 no.3
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• pp.917-927
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• 1997

Consider the confidence interval estimators of treatment effect when some of data to be analyzed are randomly censored, assuming two-sample location-shift model. Recently proposed PARK and PARK(1995) Estimators is discussed and a bootstrap estimator is proposed. This estimator is compared with other well-known estimators throught the simulation studies and recommendations about the use are made.

• Culinary science and hospitality research
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• v.22 no.1
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• pp.70-77
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• 2016

The purpose of this research was to assess university students' nutrition knowledge, confidence, information sources and their body image. This study used an online survey engine to collect data from college students. The result of the correlation showed overall subjective knowledge had significant correlation with nutrition. Means of the BMI were compared among the demographic groups with regard to their ethnicity, classification, and age. Significant differences were found among demographic groups regarding the means of the BMI. These findings can enhance the extant literature on the universal applicability of the model and serve as useful references for further investigations within other health care or foodservice settings and for other health behavioral categories.