• Journal of Korea Water Resources Association
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• v.30 no.1
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• pp.83-93
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• 1997

The purpose of the study is to analyze the sensitivity of the parameters that affect the runoff and water quality in the studied drainage basins. SWMM model is applied to the four drainage basins located at Namgazwa and Sanbon in Seoul and Gray Haven and Kings Creek in the USA. first of all, the optimum values of the parameters which have least simulation error to the observed data, are detected by iteration procedure. These are used as the standard values which are compared against the procedure. These are used as the standard values which are compared against the varied parameter values. In order to catch the effectiveness of the parameters to the computing result, the parameters are changed step by setp, and the results are compared to the standard results in flowerate and quality of the sewer. The study indicates that the discharge is greatly affected by the types of runoff surface, i.e., impervious area remarkably affects the peak flow and runoff volume while the surface storage affects the runoff volume at mild sloped basins. In addition, the major parameters affecting the pollution concentrations and loadings are the contaminant accumulation coefficient per unit area per time and the continuous dry weather days. Furthermore, the factors that affect the water quality during the initial rainfall period are the rainfall intensity, transport capacity coefficient and its power coefficient. Consequently, in order to simulate the runoff-water quality, it is needed to evaluate previous data in the research performed for the studied basins. To accurately estimated from the tributary areas and the rational computation methods of the pollutants calculation should be introduced.

• Journal of Wetlands Research
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• v.7 no.4
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• pp.97-107
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• 2005

As the distributed model is developed and widely used, the accuracy of a rainfall measurement and more dense rainfall observation network are required for the reflection of various spatial properties. However, in reality, it is not easy to get the accurate data from dense network. Generally, we could not have the proper rainfall gages in space and even we have proper network for rainfall gages it is not easy to reflect the variations of rainfall in space and time. Often, we do also have missing rainfall data at the rainfall gage stations due to various reasons. We estimate the distribution of mean areal rainfall data from the point rainfalls. So, in the aspect of continuous rainfall property in time, we should fill the missing rainfall data then we can represent the spatial distribution of rainfall data. This study uses the Fuzzy-Genetic algorithm as a interpolation method for filling the missing rainfall data. We compare the Fuzzy-Genetic algorithm with arithmetic average method, inverse distance method, normal ratio method, and ratio of distance and elevation method which are widely used previously. As the results, the previous methods showed the accuracy of 70 to 80 % but the Fuzzy-Genetic algorithm showed that of 90 %. Especially, from the sensitivity analysis, we suggest the values of power in the equation for filling the missing data according to the distance and elevation.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.597-601
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• 2006

There are considerable amount of man power and time spent for analysis and selection of various materials due to the inadequate application system and rapid searching process of material related information in each stage of building production process. Also, due to the insufficiency in recycling system of important information created for each process, they are hoarded at each task stage and project completion. As a result, because of the repetition of the similar/identical tasks on each process, it is the major reason for impeding the efficient employment of manpower of the company and decreasing competition of the company. Moreover, in selecting finish material in the project field, there are many difficulties due to the lack of technical information such as product characteristics and field applications. The construction quality also affects the profit and loss of the product which calls for a need to develop continued information management system that the finish material related examples could be shared in real time. The objective of this study is to propose a building finish material information which the real time research and application is possible to raise the productivity. TO do this, the current material information task status analysis and questionnaire research should be conducted to understand the demand of system development and reflect the result onto the system for easy access and application. Therefore, the building finish material information system for enhancement of productivity of construction task proposed in this study is expected to be utilized in enhancement of construction quality, maximization of company profit, and strengthening of company competition.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.8
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• pp.517-526
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• 2016

The purpose of this study was to investigate the self-resilience, professional self-concept, and major satisfaction on nursing students' adjustment to college life and to present the basic data to assist in healthy adaption of college life. The study included 310 students from two universities in Gwangju and Jeonnam. A questionnaire survey was conducted on the subjects to determine their self-resilience, professional self-concept, major satisfaction, and adjustment to college life with nursing as a major. The data were collected from 1, April, 2016 to 15, April using self-report, questionnaires and analyzed through descriptive statistics, percentage, mean, standard deviation, t-test, ANOVA, and Pearson correlation coefficient, using SPSS 20.0. As a result, self-esteem, professional self-concept, major satisfaction, and adjustment to college life averaged 3.80 (out of 4), 2.81 (4), 3.86 (5), and 2.75 (5) respectively. In terms of correlations, there was a significant positive correlation between adjustment to college life and self-resilience (r=.404, p<.001) and professional self-concept (r=.404, p<.001) and major satisfaction(r=.455, p<.001). In addition, self-resilience (${\beta}=.252$, p<.001) and major satisfaction (${\beta}=.309$, p<.001) of variance in adjustment to college life and the explanatory power of the model was 27.2%. Based on these results, improvement programs are necessary to help nursing students get adjusted to college life.

• The KIPS Transactions:PartC
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• v.17C no.1
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• pp.1-14
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• 2010

IEEE 802.15.4[1] has been standardized for the physical layer and MAC layer of LR-PANs(Low Rate-Wireless Personal Area Networks) as a technology for operations with low power on sensor networks. The standardization is applied to the variety of applications in the shortrange wireless communication with limited output and performance, for example wireless sensor or virtual wire, but it includes vulnerabilities for various attacks because of the lack of security researches. In this paper, we analyze the vulnerabilities against the denial of sleep attacks on the MAC layer of IEEE 802.15.4, and propose a detection mechanism against it. In results, we analyzed the possibilities of denial of sleep attacks by the modification of superframe, the modification of CW(Contention Window), the process of channel scan or PAN association, and so on. Moreover, we comprehended that some of these attacks can mount even though the standardized security services such as encryption or authentication are performed. In addition to, we model for denial of sleep attacks by Beacon/Association Request messages, and propose a detection mechanism against them. This detection mechanism utilizes the management table consisting of the interval and node ID of request messages, and signal strength. In simulation results, we can show the effect of attacks, the detection possibility and performance superiorities of proposed mechanism.

• Journal of KIISE:Computer Systems and Theory
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• v.37 no.3
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• pp.184-193
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• 2010

This paper proposes a biological iridescence BRDF(Bidirectional Reflectance Distribution Function) compression and rendering method. In the graphics technology, iridescence sometimes is named structure colors. The main features of these symptoms are shown transform of color and brightness by varying viewpoint. Graphics technology to render this is the BRDF technology. The BRDF methods enable realistic representation of varying view direction, but it requires a lot of computing power because of large data. In this paper, we obtain reflection map from iridescence BRDF, analyze color of reflection map and propose representation method by several colorfully concentric circle. The one concentric circle represents beam width of reflection ray by one normal vector. In this paper, we synthesize rough concentric by using several virtually optical normal vectors. And we obtain spectrum information from concentric circles passing through the center point. The proposed method enables IBR(image based rendering) technique which results is realistic illuminance and spectrum distribution by one texture from reduced BRDF data within spectrum.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.118-128
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• 2020

This descriptive study investigated the factors influencing on subjective happiness of senior nursing students. The participants were 235 nursing students in grades 3 and 4 in K city from May 1, 2019 to May 28, 2019. The data was collected using self-report questionnaires that contained items on subjective happiness, professional intuition, human relationship, major satisfaction, family health, and social support scale. The data was analyzed using descriptive statistics, Pearson's correlation coefficients, and stepwise multiple regression analysis with the SPSS 22.0 program. The subjective happiness of the subjects averaged 4.75±1.16 on the 7-point scale, and the subjective happiness according to the general characteristics of the subjects showed a significant difference in health status (F=6.826, p<.001). The most influential factors on the subjects' subjective happiness were health status (β=.177 p=.005), academic satisfaction (β=.138, p=.027), and family health (β=.268, p<.001), and the explanatory power of the model was 16.7% (F=15.160, p<.001). The results of this study may provide a foundation to develop an efficient intervention program to improve the happiness of senior nursing students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.145-155
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• 2020

Since Campbell (1990) proposed multidimensionality of job performance, unlike the single structure of traditional job performance, it has been largely classified as task performance, contextual performance, and counterproductive work behavior. The objective of this study is to validate the threecriteria currently considered major aspects of job performance, to identify different types of performance based on three dimensions, and to compare the power of personality factors among performance types. A total of 681 employees working at various organizations participated in an on-line survey. The survey included boththe exploratory and confirmatory factor analyses. A 3-factor job performance model consisting of three dimensions was also included. The relationships between performance dimensions and personality factors differedby dimensions of performance, supporting the validity of the 3-factor structure of performance.The results of the Latent Profile Analysis identified four types of performance: exemplary, moderately conscientious moderate, and conscientious, butlow.. The Multinomial logistic regression analysis showed each type differed significantly according to the predictors of personality variables. In conclusion, implications and limitations of the study were noted.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.7
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• pp.846-851
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• 2005

In this paper, we propose Genetic Algorithms(GAs)-based Optimized Polynomial Neural Networks(PNN). The proposed algorithm is based on Group Method of Data Handling(GMDH) method and its structure is similar to feedforward Neural Networks. But the structure of PNN is not fixed like in conventional neural networks and can be generated in a dynamic manner. As each node of PNN structure, we use several types of high-order polynomial such as linear, quadratic and modified quadratic, and it is connected as various kinds of multi-variable inputs. The conventional PNN depends on the experience of a designer that select the number of input variables, input variable and polynomial type. Therefore it is very difficult to organize optimized network. The proposed algorithm leads to identify and select the number of input variables, input variable and polynomial type by using Genetic Algorithms(GAs). The aggregate performance index with weighting factor is proposed as well. The study is illustrated with tile NOx omission process data of gas turbine power plant for application to nonlinear process. In the sequel the proposed model shows not only superb predictability but also high accuracy in comparison to the existing intelligent models.

• Archives of design research
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• v.14 no.1
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• pp.63-70
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• 2001

Thanks to the inter-connection of information servers throughout the world based on the internet technology, the new sphere which actual transaction can be made like in the visible market has become conspicuous as the virtual space. The movement to realize the new business through the cyber space has been actively ongoing. In the domestic market, a lot of corporations knowing the needs of internet shopping malls have entered into this e-business but they have not made a big success comparing with internet's potentials. And, it can be attributed to the simple planes and the limitations of information provided by the cyber malls, which means that the needs of better information transfer we apparent Accordingly, in this thesis, the research on the 3-D based products and shopping malls has been made through the inter-complementary composition between the 2-D shopping malls and 3-B ones. This research consists of 3 parts. Firstly, through the research on references and existing data, it presents the analysis on consumer's characteristics and sales limits of the internet shopping mall's products. Secondly, the background of 3-D shopping mall's advent and the virtual reality technology data are put together. Finally, it presents how the development of 3-D based product modeling and shopping malls can increase the consumer's purchase power and furthermore the directions of shopping malls to go.