• Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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• v.10 no.S_3
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• pp.97-106
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• 2001

To improve the water quality, particularly for sea bathers, the behaviour of wastewater from sewage outfalls in water adjacent to Swansea, UK, was studied using a mathematical model. The water quality in the sewage receiving basin was determined using factors like the outfall diffuser location(distance from land boundary), sewage treatment scheme, discharge time, and bacteria decay rate, etc. With respect to these factors, an optimal strategy for sewage discharge was then investigated to minimize bacteria levels along the bathing beaches. As water quality criteria, predicted faecal coliform levels were monitored along the coast adjacent to the outfall locations. The resultant values were compared with EC Mandatory(<2000, 95 % of 20 samples) and Guideline Standards(< 100, 80 % of 20 samples). For the advective-diffusion equation, the non linear advective terms were represented using the ULTIMATE algorithm and the third-order accurate QUICKEST scheme to avoid numerical diffusion. Details of the simulation results are then presented as an optimal policy for sewage discharge in the region.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.388-392
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• 2009

Operation of LNG (Liquefied Natural Gas) plants requires an effective maintenance strategy. To this end, the long-term and short-term trend of faults, such as mechanical and electrical troubles, should be identified so as to take proactive approach for ensuring the smooth and productive operation. However, it is not an easy task to predict the fault trend in LNG plants. Many variables and unexpected conditions make it quite difficult for the facility manager to be well prepared for future faulty conditions. This paper presents a model to predict the fault trend in a LNG plant. ARIMA (Auto-Regressive Integrated Moving Average) model is combined with Wavelet Transform to enhance the prediction capability of the proposed model. Test results show the potential of the proposed model for the preventive maintenance strategy.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.127-133
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• 2005

With the increasing use of the Internet improved Internet technologies as well as web-based applications, the uses of e-Learning have also increased the effectiveness of e-Learning has become one of the most practically and theoretically important issues in both Educational Engineering and Information Systems. This study suggests a research model, based on an e-Learning success model, the relationship of the e-leaner's self-regulated learning strategy and the quality perception of the e-Learning environment. This research model focuses on the learning environment and on self regulated learning strategy. The former consists of LMS, learning contents and interaction that are provided by e-Learning and the latter refers to the learners' self-regulated learning strategy. We will show the validity of the model empirically. As result, most of the hypotheses except for H6 suggested in this model were accepted.

• Journal of the Korean Institute of Intelligent Systems
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• v.9 no.6
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• pp.627-633
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• 1999

In this paper, we propose a method of cooperative control (T-cell modeling) and selection of group behavior strategy (B-cell modeling) based on immune system in distributed autonomous robotic system (DARS). Immune system is living body's self-protection and self-maintenance system. These features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For applying immune system to DARS, a robot is regarded as a ？3-cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. When the environmental condition (antigen) changes, a robot selects an appropriate behavior strategy (antibody). And its behavior strategy is stimulated and suppressed by other robot using communication (immune network). Finally much stimulated strateby is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and immune network hypothesis, and it is used for decision making of optimal swarm strategy. Adaptation ability of robot is enhanced by adding T-cell model as a control parameter in dynamic environments.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.369-387
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• 2012

Based on the survey data, this study focused venture firms examines how organizational resources and capabilities along with its external environmental conditions have an effect on its strategy and performance. In particular, this article attempts, by performing a binary logistic regression analysis, to identify the venture-specific importance and priority of the factors that may influence firms' strategy patterns, with multiple regression analysis on the relationships between some variables included in the model. The survey was conducted from October 1, 2010 through October 30, 2010. The results of this study are the following. First, the more firms are exposed to high industry growth and low competitive intensity, the higher chance they get to pursuit aggressive strategy. And then a firm seeks aggressive strategy, when it has more technological resources and human resources. Third, environmental uncertainty, industry growth, technological resources, human resources, financial resources and marketing capabilities have positive effects on firm's performance. But, competitive intensity has no direct influence firm's performance. Finally, CEO competence directly influences firm's performance, but the interaction. of CEO competence with other variables is not significant.

• Journal of the Korea Society of Computer and Information
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• v.20 no.4
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• pp.119-130
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• 2015

This study empirically analyzed at domestic manufacturing and service firms to find any moderating effects of enterprise management strategies and information-oriented development strategies between enterprise characteristic factors and IT adoption performance. Task characteristics were analyzed based on information provision extent, system quality and perceived effects while environmental characteristics based on competition extent, external pressure, environmental uncertainty, etc. As a result it was found that strategic suitability factors had a moderating effect between adoption performance and task characteristic variables such as system quality and perceived effect, environmental characteristics such as competition level, external pressure and environmental uncertainty. However, strategy suitability was found not to have any moderating role between task characteristic information provision extent and adoption performance. These findings indicate that enterprises need to plan and implement corporate management strategies and information-oriented development strategies in close coordination for new IT adoption and spread.

• Journal of Environmental Science International
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• v.27 no.5
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• pp.319-332
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• 2018

This study aimed to provide fundamental data for enlargement strategy of Ramsar site through the analysis of designation properties about 22 sites which has been registered for 20 years since Yongneup (Mt. Daeam) was designated as the first Ramsar site in Korea. Designation properties were analyzed on the basis of Ramsar Information Sheet and ecological properties was mainly analyzed in relation to designation criteria. Designation of Ramsar wetland was concentrated before and after Changwon Congress in 2008 and in terms of area 11 sites are below $1km^2$ and 5 sites are above $10km^2$. The average number of applied designation criteria was 2.86 and Criterion 2 (threaten species), Criterion 1 (representativeness and rareness of wetland type) and Criterion 3 (biodiversity) are mainly applied. In terms of protection species, internationally recognized species were 18 species on IUCN redlist, 12 species on CITES and 13 species on CMS, and nationally recognized species were 76 species on endangered species designated by Ministry of Envirionment, 83 speceis on national redlist and 71 speceis on endemic species respectively.

• Journal of Science and Technology Studies
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• v.6 no.1 s.11
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• pp.53-88
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• 2006

This study has the purpose to make a conceptual model which can explain the relationship between the research performance, and the fitness of environmental property and the technology development strategy. The environmental property consists of the competitiveness, the complexity of environment, and the market growth. The technology development strategy consists of the innovativeness of technology, the upgrade of product, and the usage of the out resource. And the ability to manage knowledge resource is a very important variable which can modulate the fitness of environmental property and the technology development strategy.

• Proceedings of the Korean Society of Environment and Ecology Conference
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• 2008.10a
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• pp.65-68
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• 2008

• Environmental and Resource Economics Review
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• v.2 no.1
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• pp.131-162
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• 1992