• Korean Journal of Ecology and Environment
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• v.39 no.2 s.116
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• pp.226-235
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• 2006

Populations of Zacco koreanus, distributed in four different tributaries of mid-upper reach Nakdong River were investigated to analyze a length-weight relation and von Bertalanffy's growth model. Fish sampling was conducted by common method (cast net and kick net) during March to October 2005. Fishes caught in the field were identified immediately, and then individuals of Zacco koreanus were preserved in 10% formalin to further measure their total length and weight in the laboratory. As the results of the equation based on length-weight relation, values of parameter b on the population of all tributaries were greater than 3.0 and the value on Bohyeon Stream was the maximum (3.26), indicating that the fish in the stream became more rotund as the length increases. In the mean time, we examined Brody growth constant (k) induced by the von Bertalanffy's growth model, and we found more steady state population in Wi (-0.18) and Byeongbo (-0.21) Streams than in fan (-0.38) and Bohyeon (-0.37) Streams. The findings would be used to assess local water environment on tributaries of the Nakdong River with understanding of ecological characteristics on the population of Zacco koreanus, as well as provide us fundamental information on domestic study of fish ecology.

• The Journal of the Korea Contents Association
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• v.8 no.8
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• pp.196-205
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• 2008

The purpose of this study was to examine the relationship of participation in jazz dance to body image and mental health in an attempt to make a contribution to the spread of jazz dance. The subjects in this study were 183 people who were selected by purposive sampling from a population of Seoul and Gyeonggi province residents who were at the Western age of 18 and up. The selected people took general education courses at colleges, attended cultural centers or fitness clubs, or learned dance for all. One instrument used in this study to assess their body image was Jourard and Secord(1954)'s Body Cathexis Scale, which was modified into six factors and 39 items. The other was Kim Gwang-il, et. al.(1978)'s 46-item inventory, which translated Rickles and Rock(l976)'s SCL-90 with 90 items to suit Korean circumstances. That inventory was modified into 31 items and four factors. For data handling, factor analysis, reliability analysis, regression analysis and path analysis were utilized. The findings of the study were as follows: 1. The extent of jazz dance participation had an impact on their body image. Those who performed jazz dance more frequency had a better image about their health and the lower part of the body. 2. The level of jazz dance participation exerted an influence on their mental health. A longer participation term led to more interpersonal sensitivity, and a higher participation frequency was followed by more somatization. 3. Concerning the causal relationship of participation in jazz dance to body image and mental health, the participation frequency affected health, the image of the lower part of the body and somatization in the firsthand manner, and the image of the lower part of the body had a firsthand impact on interpersonal sensitivity, hostility, anxiety and depression. Accordingly, the image of the lower part of the body played a crucial role as a parameter in the relationship between the jazz dance participation frequency and mental health.

• Convergence Security Journal
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• v.17 no.1
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• pp.89-100
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• 2017

This study has an objective to analyze the causal relationship between the business resource of the members in the Airport Special Guard's firms and its effect on their business attitude and turnover intention. To carry out the study, I established a population of Airport Special Guard's working at the Airport firms in In-cheon, Kim-po, Cheong-ju and Dae-gu. Then a total of 300 questionnaires were sent out for the survey using the random sampling method of clusters. The study was carried out over about four months, from July, 2016 to october, 2016. A total of 260 questionnaires were used for the final data. 40 questionnaires were excluded either because they were not returned or contained extreme value. In this study, a statistical package of SPSS WIN 18.0 were used in the data analysis and the causal relationship was verified using the multiple regression analysis. The analysis showed the business resource to have a positive effect on the business attitude but a negative effect statistical level of p<.01 on the turnover intention at the statistical level of p<.001 and the hypothesis was adopted. The hypothesis regarding the business attitude was also adopted because business attitude was found to have a negative effect on the turnover intention at the statistical level of p<.01. In addition, business attitude was found to have a negative effect on the relationship between the business resource and turnover intention at the statistical level of p<.05. As a result, the hypothesis about the business attitude would function as the parameter was only partially adopted. Through these research result, it was investigated that the relation between business resource, business attitude and turnover intention is significantly effective variable in airport special guard's. Additionally, business resource is the most important.

• Korean Journal of Health Education and Promotion
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• v.21 no.2
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• pp.215-231
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• 2004

The purpose of this study was to examine what factors affected patients who suffered from essential hypertension compliance with health behaviors, to help build a successful strategy to step up their compliance with health behaviors, and to seek effective ways to implement health education programs for patients with chronic disease. The subjects in this study were 60 people selected from among the patients who were diagnosed by physicians as having essential hypertension in S General Hospital in the city of P from April 10 through July 30, 2000, after health education was provided four times a month. The quasi- experimental design based on a control group pretest-posttest design was employed. The subjects were divided into three groups of 20 patients each： one was an experimental group to receive education in one-to-one interview, another was an experimental group to receive education as a group, and the third was a control group. The two experimental groups learned the same material through different methods, and the control group was given the same teaching materials and asked to comply with health behaviors on their own without instruction. After the three-week education was implemented in different ways, their compliance with health behaviors was measured. Collected data was analyzed by t-test, paired test, one-way analysis of variance, correlation analysis and regression analysis procedures. The findings of this study were as follows： 1. Concerning the effective type of health education, the group education produced the best results, followed by the one-to-one interviews and the sole use of print media. 2. Regarding the effect of compliance with health behaviors, the group- educated group got the highest score in compliance with health behaviors, but blood pressure lowered more significantly in the individual interview group. And the compliance with health behaviors had a significant negative correlational relationship with both systolic and diastolic blood pressure. 3. Parameter that had most significant correlational relationship with compliance with health behaviors was health locus of control, followed by self-efficacy and health perception. But there was no significant correlational relationship between compliance with health behaviors and knowledge of hypertension. 4. As a result of analyzing the impact of knowledge of hypertension, health locus of control, self-efficacy and health perception on compliance with health behaviors, self-efficacy was found to exercise most influence. Above-mentioned findings suggested that group education or one- to-one discussion would be more effective for health care for hypertension in koreans, as they could serve to have patients realize their own responsibility for health and to motivate their compliance with health behaviors, and there was a need to more positively utilize educational intervention for patients with chronic diseases, which could elevate not only compliance with health behaviors but self-efficacy.

• Journal of the Korean Ceramic Society
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• v.43 no.12 s.295
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• pp.812-822
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• 2006

This study amis to investigate the functional analysis of anode and cathode materials in Anode supported Solid Oxide Fuel Cell. The concentration polarization of single cell was investigated with CFD (Computational Fluid Dynamics) method for the case of the different morphology by using four types of unit cell and discussed to reduce the concentration polarization. The concentration polarization at anode side effected the voltage loss in Anode supported Solid Oxide Fuel Cell and increased contact areas between fuel gas and anode side could reduce the concentration polarization. For intermediate temperature operation, Anode-supported single cells with thin electrolyte layer of YSZ (Yttria-Stabilized Zirconia) were fabricated and short stacks were built and evaluated. We also developed diesel and methane autothermal reforming (ATR) reactors in order to provide fuels to SOFC stacks. Influences of the $H_2O/C$ (steam to carbon ratio), $O_2/C$ (oxygen to carbon ratio) and GHSV (Gas Hourly Space Velocity) on performances of stacks have been investigated. Performance of the stack operated with a diesel reformer was lower than with using hydrogen as a fuel due to lower Nernst voltage and carbon formation at anode side. The stack operated with a natural gas reformer showed similar performances as with using hydrogen. Effects of various reformer parameters such as $H_2O/C$ and $O_2/C$ were carefully investigated. It is found that $O_2/C$ is a sensitive parameter to control stack performance.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.6
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• pp.823-827
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• 2010

This study was conducted to assess the propriety of models for soil water characteristics estimation in anthropogenic soil through the measurement of soil water content and soil water matric potential. Soil profile was characterized with four different soil layers. Soil texture was loamy sand for the first soil layer (from soil surface to 30 cm soil depth), sand for the second (30~70 cm soil depth) and the third soil layers (70~120 cm soil depth), and sandy loam for the fourth soil layer (120 cm < soil depth). Soil water retention curve (SWRC), the relation between soil water content and soil water matric potential, took a similar trend between different layers except the layer of below 120 cm soil depth. The estimation of SWRC and air entry value was better in van Genuchten model by analytical method than in Brooks-Corey model with power function. Therefore, it could be concluded that van Genuchten model is more desirable than Brook-Corey model for estimating soil water characteristics of anthropogenic soil accumulated with saprolite.

• Phonetics and Speech Sciences
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• v.10 no.4
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• pp.77-89
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• 2018

Speech articulators are coordinated for the purpose of segmental constriction in terms of a task. In particular, vertical jaw movements repeatedly contribute to consonantal as well as vocalic constriction. The current study explores vertical jaw movements in conjunction with bilabial constriction in bilabial stop /p/ in the context /a/-to-/a/. Revisiting kinematic data of /p/ collected using the electromagenetic midsagittal articulometer (EMMA) method from seven (four female and three male) speakers of Seoul Korean, we examined maximum vertical jaw position, its relative timing with respect to the upper and lower lips, and lip aperture minima. The results of those dependent variables are recapitulated in terms of linguistic (different word boundaries) and paralinguistic (different speech rates) factors as follows. Firstly, maximum jaw height was lower in the across-word boundary condition (across-word < within-word), but it did not differ as a function of different speech rates (comfortable = fast). Secondly, more reduction in the lip aperture (LA) gesture occurred in fast rate, while word-boundary effects were absent. Thirdly, jaw raising was still in progress after the lips' positional extrema were achieved in the within-word condition, while the former was completed before the latter in the across-word condition. Lastly, relative temporal lags between the jaw and the lips (UL and LL) were more synchronous in fast rate, compared to comfortable rate. When these results are considered together, it is possible to posit that speakers are not tolerant of lenition to the extent that it is potentially realized as a labial approximant in either word-boundary condition while jaw height still manifested lower jaw position in the across-word boundary condition. Early termination of vertical jaw maxima before vertical lower lip maxima across-word condition may be partly responsible for the spatial reduction of jaw raising movements. This may come about as a consequence of an excessive number of factors (e.g., upper lip height (UH), lower lip height (LH), jaw angle (JA)) for the representation of a vector with two degrees of freedom (x, y) engaged in a gesture-based task (e.g., lip aperture (LA)). In the task-dynamic application toolkit, the jaw angle parameter can be assigned numerical values for greater weight in the across-word boundary condition, which in turn gives rise to lower jaw position. Speech rate-dependent spatial reduction in lip aperture may be able to be resolved by means of manipulating activation time of an active tract variable in the gestural score level.

• Clean Technology
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• v.27 no.1
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• pp.61-68
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• 2021

Selective catalytic reduction (SCR) is widely used as a method of removing nitrogen oxide in large-capacity thermal power generation systems. Uniform mixing of the injected ammonia and the inlet flue gas is very important to the performance of the denitrification reduction process in the catalyst bed. In the present study, a computational analysis technique was applied to the ammonia injection system design process of a denitrification facility. The applied model is the denitrification facility of an 800 MW class coal-fired power plant currently in operation. The flow field to be solved ranges from the inlet of the ammonia injection system to the end of the catalyst bed. The flow was analyzed in the two-dimensional domain assuming incompressible. The steady-state turbulent flow was solved with the commercial software named ANSYS-Fluent. The nozzle arrangement gap and injection flow rate in the ammonia injection system were chosen as the design parameters. A total of four (4) cases were simulated and compared. The root mean square of the NH3/NO molar ratio at the inlet of the catalyst layer was chosen as the optimization parameter and the design of the experiment was used as the base of the optimization algorithm. The case where the nozzle pitch and flow rate were adjusted at the same time was the best in terms of flow uniformity.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1B
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• pp.39-50
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• 2006

The flood control offices of main rivers have used a storage function model to forecast flood stage in Korea and studies of flood forecasting actively have been done even now. On this account, the storage function model, which is used in flood control office, regression models and artificial neural network model are applied into flood forecasting of study watershed in this paper. The result obtained by each method are analyzed for the comparative study. In case of storage function model, this paper uses the representative parameters of the flood control offices and the optimized parameters. Regression coefficients are obtained by regression analysis and neural network is trained by backpropagation algorithm after selecting four events between 1995 to 2001. As a result of this study, it is shown that the optimized parameters are superior to the representative parameters for flood forecasting. The results obtained by multiple, robust, stepwise regression analysis, one of the regression methods, show very good forecasts. Although the artificial neural network model shows less exact results than the regression model, it can be efficient way to produce a good forecasts.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.119-142
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• 2015

With the explosive growth in the volume of information, Internet users are experiencing considerable difficulties in obtaining necessary information online. Against this backdrop, ever-greater importance is being placed on a recommender system that provides information catered to user preferences and tastes in an attempt to address issues associated with information overload. To this end, a number of techniques have been proposed, including content-based filtering (CBF), demographic filtering (DF) and collaborative filtering (CF). Among them, CBF and DF require external information and thus cannot be applied to a variety of domains. CF, on the other hand, is widely used since it is relatively free from the domain constraint. The CF technique is broadly classified into memory-based CF, model-based CF and hybrid CF. Model-based CF addresses the drawbacks of CF by considering the Bayesian model, clustering model or dependency network model. This filtering technique not only improves the sparsity and scalability issues but also boosts predictive performance. However, it involves expensive model-building and results in a tradeoff between performance and scalability. Such tradeoff is attributed to reduced coverage, which is a type of sparsity issues. In addition, expensive model-building may lead to performance instability since changes in the domain environment cannot be immediately incorporated into the model due to high costs involved. Cumulative changes in the domain environment that have failed to be reflected eventually undermine system performance. This study incorporates the Markov model of transition probabilities and the concept of fuzzy clustering with CBCF to propose predictive clustering-based CF (PCCF) that solves the issues of reduced coverage and of unstable performance. The method improves performance instability by tracking the changes in user preferences and bridging the gap between the static model and dynamic users. Furthermore, the issue of reduced coverage also improves by expanding the coverage based on transition probabilities and clustering probabilities. The proposed method consists of four processes. First, user preferences are normalized in preference clustering. Second, changes in user preferences are detected from review score entries during preference transition detection. Third, user propensities are normalized using patterns of changes (propensities) in user preferences in propensity clustering. Lastly, the preference prediction model is developed to predict user preferences for items during preference prediction. The proposed method has been validated by testing the robustness of performance instability and scalability-performance tradeoff. The initial test compared and analyzed the performance of individual recommender systems each enabled by IBCF, CBCF, ICFEC and PCCF under an environment where data sparsity had been minimized. The following test adjusted the optimal number of clusters in CBCF, ICFEC and PCCF for a comparative analysis of subsequent changes in the system performance. The test results revealed that the suggested method produced insignificant improvement in performance in comparison with the existing techniques. In addition, it failed to achieve significant improvement in the standard deviation that indicates the degree of data fluctuation. Notwithstanding, it resulted in marked improvement over the existing techniques in terms of range that indicates the level of performance fluctuation. The level of performance fluctuation before and after the model generation improved by 51.31% in the initial test. Then in the following test, there has been 36.05% improvement in the level of performance fluctuation driven by the changes in the number of clusters. This signifies that the proposed method, despite the slight performance improvement, clearly offers better performance stability compared to the existing techniques. Further research on this study will be directed toward enhancing the recommendation performance that failed to demonstrate significant improvement over the existing techniques. The future research will consider the introduction of a high-dimensional parameter-free clustering algorithm or deep learning-based model in order to improve performance in recommendations.