• The Korean Journal of Applied Statistics
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• v.14 no.1
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• pp.161-175
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• 2001

Meta-analysis refers to quantitative methods for combining results from independent studies in order to draw overall conclusions. Hierarchical models including selection models are introduced and shown to be useful in such Bayesian meta-analysis. Semiparametric hierarchical models are proposed using the Dirichlet process prior. These rich class of models combine the information of independent studies, allowing investigation of variability both between and within studies, and weight function. Here we investigate sensitivity of results to unobserved studies by considering a hierachical selection model with including unknown weight function and use Markov chain Monte Carlo methods to develop inference for the parameters of interest. Using Bayesian method, this model is used on a meta-analysis of twelve studies comparing the effectiveness of two different types of flouride, in preventing cavities. Clinical informative prior is assumed. Summaries and plots of model parameters are analyzed to address questions of interest.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.557-565
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• 2021

This study was attempted to identify differences in self-esteem and grit in adolescents depending on the type of parenting attitude. Among the Korea Children Youth Panel Survey conducted by National Youth Policy Institute, the data of 2,438 first-year middle school students in 2018 year were analyzed. The collected data were analyzed using hierarchical cluster analysis and k-mean cluster analysis. As a result, the adolescent's perceived parenting attitude was classified into four types: 'passive affection acceptance', 'active affection acceptance', 'authoritarian inconsistency', and 'lack of affection rejection'. Also, there were significant differences in self-esteem and the degree of grit among the four clusters of parenting attitudes. Both self-esteem and grit were highest in the "active affection acceptance" group 2. In the future, differentiated parental education is needed for each cluster to improve self-esteem and grit of adolescents, and this study can be used as a basic data for the development of educational programs.

• Journal of Biomedical Engineering Research
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• v.18 no.3
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• pp.233-241
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• 1997

The research on chromosomes is very significant in cytogenetics since genes of the chromosomes control revelation of the inheritance plasma. The human chromosome analysis is widely used to study leukemia, malignancy, radiation hazard, and mutagen dosimetry as well as various congenital anomalies such as Down's, Klinefelter's, Edward's, and Patau's syndrome. The framing and analysis of the chromosome karyogram, which requires specific cytogenetic knowledge is most important in this field. Many researches on automated chromosome karyotype analysis methods have been carried out, some of which produced commercial systems. However, there still remains much room to improve the accuracy of chromosome classification and to reduce the processing time in real clinic environments. In this paper, we proposed a hierarchical artificial neural network(HANN) to classify the chromosome karyotype. We extracted three or four chromosome morphological feature parameters such as centromeric index, relative length ratio, relative area ratio, and chromosome length by preprocessing from ten human chromosome images. The feature parameters of five human chromosome images were used to learn HANN and the rest of them were used to classify the chromosome images. The experiment results show that the chromosome classification error is reduced much more than that of the other researchers using less feature parameters.

• Journal of Korean Academy of Nursing
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• v.42 no.3
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• pp.434-442
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• 2012

Purpose: The purpose of this predictive study was to identify factors affecting health related quality of life (HRQoL) in patients with rheumatoid arthritis (RA). Methods: The participants in this study were 131 patients with RA who were recruited from the outpatient clinic of a university hospital in Seoul. Disease activity in rheumatoid arthritis was evaluated by calculating the Disease Activity Score 28. Disability in activities of daily living (ADL) was assessed with the Korean Health Assessment Questionnaire, and depression with The Center for Epidemiologic Studies Depression Scale. HRQoL was evaluated using The Short Form 36 Health Survey. Data were analyzed using descriptive statistics, correlation, and hierarchical multiple regression. Results: Pain, disability in ADL, disease activity, and depression correlated negatively with physical and mental dimensions of HRQoL. But hierachical multiple regression analysis revealed that disability in ADL and depression were the only variables negatively influencing physical and mental QoL after adjustment for influences of sociodemographic variables. Conclusion: Results of this study suggest that disability in ADL and depression, rather than disease activity and pain have profound effects on HRQoL in patients with RA. Further studies are needed to assess the predictive ability of disease activity and pain on HRQoL in this population.

• Journal of The Korean Association For Science Education
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• v.12 no.3
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• pp.49-59
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• 1992

New-Piagetian theory has proposed that mental capacity and mental demand do a critical role in human cognitive processes. In this study, the students' mental capacity and the mental demand of the given problems were examined. The principal findings of the study are as follows; (1) There was no significant difference among achievement scores of subjects (3rd grade students of middle school, 2nd grade students of high school, 3rd grade students of high school) in the items of balance that needed specific content knowledge. But, in the Newton's 2nd law items that needed specific content knowledge, there was significant difference be ween3rd grade students of middle school and high school students(2nd, 3rd). According to increase of mental demand, middle school students' achievement score appeared to decrease linearly. However high school students' achievement score didn't change untill they faced the items of critical mental demand. When mental demand was beyond critical mental demand,their score was decreased rapidly. (2) According to hierchical analysis of items, the more mental demand an item needed, the higher or at least the same hierachical item was. These results showed that mental demand was the main factor which decided diffculties of problem solving (3) It was possible for students to solve the newton's 2nd law item that had one or two more mental demand relative to balance beam item. Although the item needed the same mental demand.students recognized that the Newton's 2nd law items were easier than the balance beam items.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.5
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• pp.619-633
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• 1993

A new High level hardware Description Language, ASPHODEL(Algorithm Synthesis Pascal Hardware for Optimal Design and Efficient Language), and its algorithm compiler for high level synthesis are described in this paper. The new HDL, appropriated to the description of algorithmic level and lower, models VLSI circuits as an abstracted block which is consisted of input/output ports and hierachical processors to control VLSI complexities with efficiency. Also, in order to improve the descriptive power, popular Pascal programming language is modified to build ASPHODEL syntax rules. ASPHODEL algorithm compiler generates an intermediate form through lexical and syntax analysis from ASPHODEL source codes. To show the validation of presented language and its compiler, those are applied to practical design examples.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.25 no.1
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• pp.46-57
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• 2018

Purpose: The purposes of the study were to examine the knowledge and practice about Middle East Respiratory Syndrome (MERS) isolation precaution, and to explore influencing factors of the isolation practice among hospital nurses. Methods: A total of 182 nurses were recruited from four general hospitals where MERS patients had been treated. The knowledge and practice of MERS isolation precaution were measured by the scales developed based on the CDC guidelines. The collected data were analyzed by SPSS/WIN 22 with descriptive statistics, T-test, One-way ANOVA, Pearson correlation coefficients, and hierachical multiple regression analysis. Results: The nurses were 30 years old in average, and half of them had less than 5 years of clinical experience. and knowledge on droplet precautions (${\beta}=.171$, p=.019) were the significant predictors, explaining 19.6% of variance in the MERS isolation guideline practice. Clinical experience (${\beta}=.225$, p=.002), working at infection unit (${\beta}=-.203$, p=.011). Conclusion: The knowledge on droplet precaution and general knowledge on MERS were the important modifiable factor to improve the MERS isolation guideline practice among hospital nurses, even after adjusting clinical experience and demographic variables. It is necessary to develop an efficient education program on specific guidelines for prevention and management of infection by improving the knowledge on infectious disease such as MERS as well as droplet precaution which are modifiable factors.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.692-700
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• 2020

The purpose of this study was to investigate the degree of optimism, academic resilience, and major satisfaction of nursing students, and identify influencing factors of major satisfaction. The study was a cross-sectional descriptive correlational design. A convenience sample of 286 nursing students was conducted from a university in Busan. Data were analyzed through descriptive statistics, t-test, one way ANOVA, Pearson's correlation coefficient, and hierachical multiple regression analysis using IBM SPSS version 23.0. The average score of optimism, academic resilience and major satisfaction in nursing students were 3.85±0.54, 3.87±0.52 and 3.75±0.63 respectively. The degree of major satisfaction was positively correlated with optimism and academic resilience. The significant predictors of major satisfaction were optimism(β=.385, p<.001) and academic resilience(β=.356, p<.001), explaining 49.2% of the independent variables. Accordingly, in order to increase the major satisfaction level of nursing college students, it is necessary to develop a program that can improve optimism and academic resilience, and apply it in the nursing curriculum.

• The Transactions of the Korea Information Processing Society
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• v.5 no.10
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• pp.2627-2640
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• 1998

In this paper, we analyze the performance of the virtual cell system[1] for the transmission of IP datagrams in mobile computer communications. A virtual cell consistsof a group of physical cells shose base stationsl are implemented b recote bridges and interconnected via high speed datagram packet switched networks. Host mobility is supported at the data link layer using the distributed hierachical location information of mobile hosts. Given mobility and communication ptems among physical cells, the problem of deploying virtual cells is equivalent to the optimization cost for the entire system where interclster communication is more expesive than intracluster communication[2]. Once an iptimal partitionof disjoint clusters is obtained, we deploy the virtual cell system according to the topology of the optimal partition such that each virtual cell correspods to a cluser. To analyze the performance of the virtual cell system, we adopt a BCMP open multipel class queueing network model. In addition to mobility and communication patterns, among physical cells, the topology of the virtual cell system is used to determine service transition probabilities of the queueing network model. With various system parameters, we conduct interesting sensitivity analyses to determine network design tradeoffs. The first application of the proposed model is to determine an adequate network bandwidth for base station networking such that the networks would not become an bottleneck. We also evaluate the network vlilization and system response time due to various types of messages. For instance, when the mobile hosts begin moving fast, the migration rate will be increased. This results of the performance analysis provide a good evidence in demonsratc the sysem effciency under different assumptions of mobility and communication patterns.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.38-48
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• 2020

The domestic AI speaker market is growing into a full-fledged early audience market beyond the innovative consumer market with 3 million domestic supply units at the end of 2018, but the reality is that for various reasons, we are not satisfied with the use. There are many previous papers on AI Speaker, but the majority of research so far tends to be biased towards the acceptance of the device's own performance. Many changes are being made, such as OTT providers trying to secure the market through collaboration with AI speaker providers. This study tried to identify the priorities for content services, which can be another major selection factor for AI speakers, excluding the factors of unsatisfactory technology. First, this study identified the priorities among AI speaker selection factors using AHP (Analytic Hierarchy Process), based on the AI speaker selection factors derived through literature research. The most important hierarchical factor are Concierge Service, Education Service, and Entertainment Service order in AI speaker selection, and the primary content among the individual factors was the one that ranked weather/temperature/fine dust (11.6%) and child caring content was in the second place (10.8%), and then music service was in the third place (9.8%). The three top priorities were derived from the items in the top tier 1, 2 and 3 priorities. Of the total 15 individual services, 6 sub-layers of Concierge Service (weather/temperature/fine dust, news, voice schedule notification) and Education Service (foreign language, toddler, reading books) were in the top 8, and two of the Entertainment Service Music service and movie service ranked third and sixth.