• 한국조경학회지
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• 제35권3호
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• pp.105-113
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• 2007

This study was conducted to analyze the effects of environmental factors such as soil moisture, light intensity, temperature and humidity on changes in cambial electrical resistance. To improve data quality, cambial electrical resistance was continuously measured at fixed points by using a data logger isolated from alternating current. The relationship between environmental factors and changes in cambial electrical resistance was also analyzed. The results are as follows: 1. Cambial electrical resistance is highly correlated to the temperature of the measured area(r=-0.934). Therefore, temperature compensation is needed to analyze the effects of other environmental factors on cambial electrical resistance changes. 2. If temperature is compensated for, the change of cambial electrical resistance is highly correlated to water vapor pressure(r=-0.836). 3. If temperature and humidity are compensated for, the change of cambial electrical resistance is highly correlated to intensity of light(r=-0.738). 4. Diurnal deviation of soil water potential is not more significantly related than the change of cambial electrical resistance. However, in the long-term, soil water potential and cambial electrical resistance are highly correlated(r=-0.831). This indicates that soil moisture significantly influences the long-term change of cambial electrical resistance.

• 대한한의진단학회지
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• 제11권2호
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• pp.96-115
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• 2007

Background and Purpose: Electroencephalogram(EEG) is a multi-scaled signal consisting of several components of time series with different origins. Recently, because of the absence of an identified metric which quantifies the complex amount of information, there are many limitations in using such a linear method. According to chaos theory, irregular signals of EEG can also result from low dimensional deterministic chaos. Chaotic nonlinear dynamics in the EEG can be studied by calculating the correlation dimension. The aim of this study is to analyze correlation between the correlation dimension of EEG and psychological Test (TCI). Methods: Before and after moxibustion treatment, EEG raw data were measured by moving windows during 15 minutes. The correlation dimension(D2) was calculated from stabilized 40 seconds in 15 minutes data. 8 channels EEG study on the Fp, F, T, P was carried out in 30 subjects. Results: Correlation analysis of TCI test is calculated with deterministic non-linear data and stochastic non-linear data. 1. Novelty seeking in temperament is positive correlated with D2 of EEG on Fp. 2. reward dependence in temperament is positive correlated with D2 of EEG on T3,T4 and negative correlated with D2 of EEG on P3,P4. 3. self directedness in character is positive correlated with D2 of EEG on F4, P3. 4. Harm avoidance is negative correlated with D2 of EEG on Fp2, T3, P3. Conclusion: These results suggest that nonlinear analysis of EEG can quantify dynamic state of brain abolut psychological Test (TCI).

• Water Engineering Research
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• 제2권2호
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• pp.139-148
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• 2001

The teleconnections between El Nino/Southern Oscillation (ENSO) and droughts in Korea and the continental United States(U.S.) are investigated using cross analysis. For this purpose, monthly ENSO data and Palmer Drought Severity Index (PDSI) for Korea and for seven states in the U.S. are used. This study shows that there are significant statistical associations between ENSO indices and PDSI for Korea; however, the associations are very weak. It is found that dry conditions in Korea are positively correlated with El Nino, while wet conditions with La Nina. SOI, SSt in the Nino 4 and Ship track 6 regions among ENSO indices are more strongly correlated with PDSI than the other ENSO indices when using the original standardized data, but the SST Nino 3, SST Nino 4, and Darwin SSP exhibit abetter correlations with PDSI when using filtered data to be removed autocorrelation components of the original standardized data. The response time lag for maximum correlation between ENSO indices and PDSI appears to be affected by filtering the data. This is expecially true for Korea than for state analyzed in U.S. In addition, it is found that the PDSI in the continental U.S. is more strongly correlated wiht ENSO than in Korea. Furthermore, in analyzing the El Nino and La Nina aggregate composite data, it is found that the dry anomalies in Korea occur from the year following El Nino to about tow years after while the wet anomalies occur from La Nina year for a period of about two years.

• Genes and Genomics
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• 제40권12호
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• pp.1363-1371
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• 2018

One of the main concerns in biology is extracting sophisticated features from DNA sequence for gene interaction determination, receiving a great deal of researchers' attention. The epigenetic modifications along with their patterns have been intensely recognized as dominant features affecting on gene expression. However, studying sequenced-based features highly correlated to this key element has remained limited. The main objective in this research was to propose a new feature highly correlated to epigenetic modifications capable of classification of genes. In this paper, classification of 34 genes in PPAR signaling pathway associated with muscle fat tissue in human was performed. Using different statistical outlier detection methods, we proposed that 5-mers highly correlated to epigenetic modifications can correctly categorize the genes involved in the same biological pathway or process. Thirty-four genes in PPAR signaling pathway were classified via applying a proposed feature, 5-mers strongly associated to 17 different epigenetic modifications. For this, diverse statistical outlier detection methods were applied to specify the group of thoroughly correlated genes. The results indicated that these 5-mers can appropriately identify correlated genes. In addition, our results corresponded to GeneMania interaction information, leading to support the suggested method. The appealing findings imply that not only epigenetic modifications but also their highly correlated 5-mers can be applied for reconstructing gene regulatory networks as supplementary data as well as other applications like physical interaction, genes prioritization, indicating some sort of data fusion in this analysis.

• 한국관광식음료학회지:관광식음료경영연구
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• 제15권1호
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• pp.81-97
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• 2004

The purpose of this study is to suggest management information through the analysis of relationships between financial characteristics and financial performance to the owners and managers of super deluxe hotels in Korea. The data of super deluxe hotels were collected by the electronic F/S announcement system. Forty-two hotels, which have financial statements for the previous three consecutive years were chosen as the sample of analysis. Return on total assets and times interest earned, asset turnover, current ratio of the super deluxe hotels are correlated. Return on total assets and asset turnover, sales growth rate, times interest earned are also correlated. And productivity and asset turnover of chain hotels are correlated. Based on this study, it can be concluded that chain hotels are maily correlated with growth ratio and activity ratio. Otherwise non-chain hotels are mainly correlated with current ratio and safety ratio.

• 한국지역사회생활과학회지
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• 제19권3호
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• pp.373-386
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• 2008

The purpose of this study was to examine the effects of parent-adolescent relationship and marital conflict perceived by adolescents on peer victimization. The subjects were 353 middle school students selected from two middle schools in the Incheon area. The instruments of research included the peer victimization index, the parenting behavior index, the parent-adolescent communication index, and the marital conflict inventory. The statistics used for this data were t-test, ANOVA, correlation analysis and multiple regression analysis. This study showed that middle school student's peer victimization was influenced significantly by the gender. Correlation analysis indicated that parenting behavior and peer victimization were significantly correlated. That is, oppressive, over protective and/or permissive attitudes of the parent were positively correlated with peer victimization. Intimacy and reasonable attitude were negatively correlated with middle school student's peer victimization. Also, parent-adolescent communication and peer victimization were significantly correlated. Especially, open communication was negatively correlated with peer victimization while problematic communication was positively correlated with peer victimization. Marital conflict perceived by adolescents was positively correlated with peer victimization. It was also found that gender, oppressive attitude, permissive attitude, open communication, and marital conflict were significant predictors of middle school student's peer victimization.

• 지역사회간호학회지
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• 제10권2호
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• pp.347-361
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• 1999

This study was undertaken in order to determine the relationship among a health locus of control. self-esteem. perceived health status. and health promoting behavior in order to determine factors affecting health promoting lifestyle in college students. The subject were 137 students of one university in Kyungsan. The analysis of data was done with a mean. percentage. Pearson correlation coefficient. and Stepwise multiple regression with an SAS program. The result of this study ware as follows: 1. Performance in health-promoting behavior was significantly correlated with self-efficacy and self-esteem 2. Performance in self-achievement was significantly correlated with self-efficacy, self-esteem, and perceived health status. Performance in health responsibility was significantly correlated with self-efficacy and self-esteem Performance in exercise was significantly correlated with self-efficacy and perceived health status. Performance in nutrition was significantly correlated with self-efficacy. self-esteem. and perceived health status. Performance in interpersonal support was significantly correlated with self-efficacy. internal locus of control. and self-esteem Performance in stress management was significantly correlated with self-efficacy, self-esteem. and perceived health status. 3. Self-efficacy was the highest factor predicting health promoting lifestyles. 4. Self-efficacy was the highest factor predicting self-achievement. health responsibility. exercise. nutrition. and stress management. Self-esteem was the highest factor predicting interpersonal support. From this research findings, we need to develop health promoting program and health education focusing on exercise, health responsibility for college students.

• 한국간호교육학회지
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• 제10권2호
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• pp.289-296
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• 2004

The purpose of this study was examine the relationship between smoking, general characteristics, and serum lipids in the normal adult. The subjects consist of 6,800 persons (male ; 4,309(63.4%), female ; 2,491(36.6%)) in A hospital in Kyungki-Do. The collected data were analyzed using T-test, and Multiple Regression by SPSS/WIN program. The result were following ; 1. Cigarette smoking was associated with decreased serum HDL cholesterol level (p<.001). 2. Serum LDL cholesterol level was not statistically correlated with smoking tend to level by 5.77mg/dl respectively. 3. Cigarette smoking was associated with elevated serum Triglyceride level (p<.001). 4. By using regression, HDL cholesterol level was negatively correlated with obesity and alcohol.. HDL cholesterol level was positively correlated with exercise. LDL cholesterol level was positively correlated with diet and obesity.　Triglyceride level was positively correlated with obesity and　alcohol. In conclusion, Smoking was the most correlated with Triglyceride among the serum lipid and Serum lipid was the most correlated with obesity. Thus, it is necessary to quit smoke and weight control for prevention from disease such as coronary heart disease and lung cancer.

• 한국컴퓨터정보학회논문지
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• 제21권2호
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• pp.1-7
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• 2016

In this paper, we propose in this paper present a novel locality data allocation policy as COLD(Correlated Locality Data) allocation policy. COLD is defined as a set of data that will be updated together later. By distributing a COLD into a NAND block separately, it can preserve th locality. In addition, by handling multiple COLD simultaneously, it can obtain the parallelism among NAND chips. We perform two experiment to demonstrate the effectiveness of the COLD data allocation policy. First, we implement COLD detector, and then, analyze a well-known workload. And we confirm the amount of COLD found depending on the size of data constituting the COLD. Secondly, we compared the traditional page-level mapping policy and COLD for garbage collection overhead in actual development board Cosmos OpenSSD. Experimental results have shown that COLD data allocation policy is significantly reduces the garbage collection overhead. Also, we confirmed that garbage collection overhead vary depending on the COLD size.

• Communications for Statistical Applications and Methods
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• 제29권5호
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• pp.561-589
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• 2022

When multiple classifications and regression trees are combined, tree-based ensemble models, such as random forest (RF) and Bayesian additive regression trees (BART), are produced. We compare the model structures and performances of various ensemble models for regression settings in this study. RF learns bootstrapped samples and selects a splitting variable from predictors gathered at each node. The BART model is specified as the sum of trees and is calculated using the Bayesian backfitting algorithm. Throughout the extensive simulation studies, the strengths and drawbacks of the two methods in the presence of missing data, high-dimensional data, or highly correlated data are investigated. In the presence of missing data, BART performs well in general, whereas RF provides adequate coverage. The BART outperforms in high dimensional, highly correlated data. However, in all of the scenarios considered, the RF has a shorter computation time. The performance of the two methods is also compared using two real data sets that represent the aforementioned situations, and the same conclusion is reached.