• Journal of the Korean Society of Earth Science Education
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• v.6 no.1
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• pp.60-68
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• 2013

The aim of the study is determined to find out how elementary science localization teaching strategy would influence environmental perception of students. In order to fulfill the research purpose, a total of 51 fifth graders from two classes in M Elementary School in U City were divided into a 26 of experimental group and a 25 of comparative group. The study was carried out from September to November of 2012. For the experimental group, an elementary science localization classes were conducted while for the comparative group, a general science classes were performed. The results of the research are presented as follows. First, it was learned that the experimental group with the elementary science localization class would have a significantly and statistically high environmental sensitivity comparing to that of the comparative group. That proves the elementary science localization class's being efficient at improving the students' environmental sensitivity. Second, the experimental group with the elementary science localization class turned out to have a significantly and statistically strong will to protect the environment than the comparative group would do. Such finding says that the elementary science localization class is helpful to enhance the students' will to preserve the environment. In conclusion, the study came to understand that the elementary science localization teaching strategy can improve the environmental perceptions of the students for such elementary science localization class would efficiently encourage environmental interest of the students.

• Korean Journal of Environmental Biology
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• v.31 no.4
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• pp.233-242
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• 2013

Cyanobacteria (blue-green algae) are not only the first oxygenic organisms on earth but also the foremost primary producers in aquatic environment. Massive growth of cyanobacteria, in eutrophic waters, usually changes the water colour to green and is called as algal (cyanobacterial) bloom or green tide. Cyanobacterial blooms are a result of high levels of primary production by certain species such as Microcystis sp., Anabaena sp., Oscillatoria sp., Aphanizomenon sp. and Phormidium sp. These cyanobacterial species can produce hepatotoxins or neurotoxins as well as malodorous compounds like geosmin and 2-methylisoborneol (MIB). In order to solve the nationwide problem of hazardous cyanobacterial blooms in Korea, the following technically and strategically sound approaches need to be developed. 1) As a long-term strategy, reduction of the nutrients such as phosphorus and nitrogen in our water bodies to below permitted levels. 2) As a short term strategy, field application of combination of already established bloom remediation techniques. 3) Development of emerging convergence technologies based on information and communication technology (ICT), environmental technology (ET) and biotechnology (BT). 4) Finally, strengthening education and creating awareness among students, public and industry for effective reduction of pollution discharge. Considering their ecological roles, a complete elimination of cyanobacteria is not desirable. Hence a holistic approach mentioned above in combination to addressing the issue from a social perspective with cooperation from public, government, industry, academic and research institutions is more pragmatic and desirable management strategy.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.12
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• pp.1079-1085
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• 2000

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). An immune system is the living bodys self-protection and self-maintenance system. these features can be applied to decision making of the optimal swarm behavior in a dynamically changing environment. For applying immune system to DARS, a robot is regarded as a B-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 robots using communication (immune network). Finally, much stimulated strategy 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 the optimal swarm strategy. Adaptation ability of the robot is enhanced by adding T-cell model as a control parameter in dynamic environments.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.591-597
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• 2001

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 B-cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control school is based on clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.

• The Journal of Information Systems
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• v.16 no.2
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• pp.1-33
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• 2007

Selecting and implementing competitive strategies based on e-business is extremely important since it determines if an enterprise can continue to grow or not. Accordingly, systematic and empirical study on the implementation of e-business based on competitive strategy is required, and in-depth studies considering various e-business development stages of enterprises are also needed. The purpose of this study is to present guideline for the staff in charge and managers of enterprises to achieve competitive advantage and to increase organizational performance in e-business environments. What we have found are as follows. (1) Factors greatly influencing on competitive strategy selection through e-business were environmental uncertainty, centralization, innovative culture, technological competence, and formalization. (2) Results of the relationship between competitive strategies and e-business performance showed that each strategy had different effects on financial performance, process performance, and customer performance. and (3) Data analysis between internal and external environmental factors and competitive strategy by each e-business development stage proved that the relationships between competitive strategy and e-business performance were different based on e-business development stage. Implications of the study and guidelines for the managers are provided in the paper.

• IE interfaces
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• v.14 no.3
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• pp.326-333
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• 2001

The purpose of this paper is to empirically investigate the relationships between market environments and technology strategy using the data gathered from Korean manufacturing firms. As the significant environmental factors influencing company's technology strategy, two sorts of market aspects are considered; market competition factor and technological dynamics factor. And companies are categorized with respect to the characteristics of market environments they are facing with. Then we seek to find the differences in the contents of technology strategy among the companies in different types of environments through statistical analysis. As a result, it is found that there exist significant relationships between the companies' technology strategy and the environments facing firms.

• Korea Journal of Hospital Management
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• v.1 no.1
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• pp.203-247
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• 1996

This article reviews the art and practice of strategic management process in hospitals today, in order to help hospital administrators for managing strategic management system in their hospitals. The strategic management process model in this article is based on an integrated approach combining traditional environmental model with resource-based model of strategy. The components of the model are consisted of five steps: (1)formulating objectives, strategic assessment by external environmental analysis, internal capability analysis, TOWS analysis and marketing audit, (3)strategy choice considering context and criteria of choice, (4)program implementation through operational planning, resource allocation, and conversion, and (5)control by monitoring and evaluating hospital outputs. This article deals with many aspects of issues inherent in every step on this strategic management process.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.1088-1090
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• 1997

This paper presents an effective methodology of optimal environmental and economic operation using evolution strategy. In power systems, evolution strategy, based on natural selection and genetics, can analyze non-linear and discontinuous functions in global search techniques. The formulation using this search techniques is multi-objective function, which consists of fuel cost and environmental effects concerning the pollution of the Earth's atmosphere caused by the emission of $SO_2$ and $NO_x$ from thermal generator plants. The proposed algorithms are applied on system with 6 generator.

• Hwankyungkyoyuk
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• v.17 no.1
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• pp.133-143
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• 2004

This study aims to explore the ways in spreading and maturing of environmental Education(EE) in secondary school. To deal with this issue, researchers investigate the actual conditions of EE and grope for the ways in spreading and maturing of EE. According to investigation, the selecting rate of environment subject in secondary school is about 3%(compared selecting rate of other subject matters) in 2003. Based on the result, this study suggests followings. First, sequencing strategy of EE curriculum will be expected very efficaciously. Secondly, there is need to empasize daily experiences of EE beyond the formal subject matter. Thirdly and ultimately, thers is need to reform school curriculum centered EE. Moreover, there is need to empasize teacher education for the environment not only pre service but also in-service teacher training.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2002.04a
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• pp.149-156
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• 2002

This paper examines the ASCE first generation benchmark problem for a seismically excited cable-stayed bridge, and proposes a new semi-active control strategy focusing on inclusion of effects of control- structure interaction. In this study, magnetorheological (MR) fluid dampers, which belong to the class of controllable fluid dampers, are proposed as the supplemental damping devices, and a clipped-optimal control algorithm, shown to perform well in previous studies involving MR fluid dampers, is employed. The dynamic model for MR fluid dampers is considered as a modified Bouc-Wen model, which is obtained from data based on experimental results for large-scale dampers. Numerical results show that the performance of the proposed semi-active control strategy using MR fluid dampers is quite effective.