• Hwankyungkyoyuk
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• v.22 no.1
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• pp.1-11
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• 2009

Environmental Literacy is needed to establish a sustainable society and can be very well developed through Outdoor Environmental Education(OEE). However, establishing OEE in Korea is a very difficult. Thus, it is very important to find out which factors influence the sustainability of OEE. The purpose of this study is to identify those factors. Participatory observation research and some interviews were used in "The Whale Class" of the University of Georgia in the United States. Major findings and recommendations were as follows: (1) OEEs give participants good experiences about the environment; (2) Program operators of OEEs are enthusiastic about education and environmental conservation; (3) Good educational practices such as cooperative education and participation in conversation foster learning; (4) Good organizations with guest lectures from various environmental fields would be beneficial; (5) Public information about environmental programs would be helpful; (6) Administrative support for those organizations connected to environmental programs would be useful; and (7) OEE provide reflection activities to foster Environmental Literacy.

• Journal of Power Electronics
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• v.18 no.6
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• pp.1805-1818
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• 2018

This paper proposes a novel hybrid maximum power point tracking (MPPT) algorithm combining a Whale Optimization Algorithm (WOA) and the conventional Perturb & Observation (P&O) to track/extract the highest amount of power from a solar photovoltaic (SPV) system working under partial shading conditions (PSCs). The proposed hybrid algorithm is based on a WOA which predicts the initial global peak (GP) and is followed by P&O in the final stage to achieve a quicker convergence to a GP. Thus, this hybrid algorithm overcomes the computational burden encountered in a standalone WOA, grey wolf optimization (GWO) and hybrid GWO reported in the literature. The conventional algorithm searches for the maximum power point (MPP) in the predicted region by the WOA. The proposed MPPT technique is modelled and simulated using MATLAB/Simulink for simulating an environment to check its effectiveness in accurately tracking the MPP during the GP region. This hybrid algorithm is compared with a standalone WOA, GWO and hybrid GWO. From the simulating results, it is shown that the proposed algorithm offers high tracking performance and that it increases the output power level of a SPV system under partial shading. The algorithm also verified experimentally on various PSCs.

• Journal of Advanced Navigation Technology
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• v.24 no.4
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• pp.291-298
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• 2020

This study proposed a model that can track MPP faster than the existing MPPT algorithm using the particle swarm optimization algorithm (PSO). The proposed model highly sets the acceleration constants of gbest and pbest in the PSO algorithm to quickly track the MPP point and eliminates the power instability problem. In addition, this algorithm was re-executed by detecting the change in power of the solar panel according to the rapid change in solar radiation. As a result of the experiment, MPP time was 0.03 seconds and power was 131.65 for 691.5 W/m2, and MPP was tracked at higher power and speed than the existing P&O and INC algorithms. The proposed model can be applied when a change in the amount of power is detected by partial shading in a Photovoltaic power plant with Photovoltaic connected in parallel. In order to improve the MPPT algorithm, this study needs a comparative study on optimization algorithms such as moth flame optimization (MFO) and whale optimization algorithm (WOA).

• Journal of the korean society of oceanography
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• v.33 no.3
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• pp.123-135
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• 1998

Cooperative scientific research in Antarctic has been successful since the International Geophysical Year 1957/1958. Presently, 43 nations have joined the Antarctic Treaty as consultative parties or acceding states, and other treaties and agreements have evolved to conserve the integrity and to manage the resources of the Antarctic ecosystem. Although yet to be designated, tourism areas in Antarctica are under consideration. Due to its remoteness and vast magnitude, Antarctica's science is slowly emerging. Satellite technology has enabled observation of the progression of the ozone hole above Antarctica. Mineral exploitation has yet to take place, as has the transport of Antarctic icebergs to some arid nations. On the other hand, both seal and whale exploitations have occurred, devastating these populations. The lessons learned from past human greed are used to design krill and squid fisheries, though the life histories of these organisms are yet to be adequately understood. An ecosystem approach to managing Antarctic resource exploitation is essential. Procuring the needed logistics to do so is daunting, requiring the highest degree of international cooperation and educational outreach to nurture the needed effective scientific and engineering talent, both natural and social.

• Journal of Science Education
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• v.36 no.1
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• pp.153-165
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• 2012

This study investigated the frequent mistakes and the causes of the alternative conceptions in the animal classification by using the questionnaire and interview with the middle school students (N=300). As results, some students have difficulties classifying suggested animals into vertebrates or invertebrates : snakes (31.7%), shrimps (28.3%), turtles (25.6%), frogs (24.7%), and starfish (10.7%) in order of precedence. These errors seemed to be caused by intuitive thinking over characteristics of physical motions and appearance of suggested animals, wrong inference from comparing to features of familiar animals and the lack of observation experience of the vertebrate backbone. Furthermore, the results showed that relatively many students made a mistake classifying subgroup members of vertebrates such as classifying salamanders into the class Reptilia (45.3%) and turtles into Amphibia (40.3%). It is likely that those errors are affected by ambiguousness of classification terminology (e.g. the term of Amphibia) and weak ability in relating the physiological and ecological feature to standard of classification feature. In addition, sociocultural factors could influence animal classification as 'bat in birds', 'whale in fish, and 'penguin in mammals'. The present study implied that teaching and learning animal classification may require an appropriate guide focused on activities to explore major characteristics used for the animal classification standard through providing more chances of animal observation rather than the cramming method of learning induced by technical memorizing.