• Journal of Korean Society of Rural Planning
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• v.16 no.4
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• pp.157-169
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• 2010

This study has intended to devise a comprehensive rural planning, driven by residents based on ecological rural amenity paradigm for Busu area, Boeun-gun, South Korea. To reach the goal, this study has performed the following processes. First, we have analyzed the elements of threat, opportunity, weakness, and strength in both inside and outside village through 'SWOT analysis. Second, through strategic analysis and consultation, we have proposed developmental directions of Busu area. Third, based on an ecological rural amenity planning system composed of ecological economy system, ecological environment system, ecological history-culture system, ecological image system, and ecological society system, we have suggested research projects of each system Fourth, we selected projects through a general meeting with all stakeholders. Fifth, the selected projects were applied to Busu area by village residents and experts. Finally, the projects, which were appraised and revised by experts, residents, and governmental officers, were composed of ecological scenic agriculture center, resident's site for city dweller, energy independent village, eco-road, eco-pond, ecological park and parking lot, restoration of traditional culture, zone of ecological scenic agriculture, eco-tunnel, eco-fence, landmark, corporate identity, community center, forum and seminar, and education for residents' empowerment.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.4
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• pp.1021-1030
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• 2015

For the water quality improvement in the ocean outfall area of sewage treatment plant, this study tried to control the water quality of outfall area using the biofilter method through seaweeds, a way of ecological engineering treatment that is applicable in the marine ecosystem. Therefore, this research made an attempt the main factors necessary for creating seaweed bed to improve water quality in the outfall area of sewage treatment plant, and the results are as follows. In the case of making the seaweed bed in the ocean outfall area of sewage treatment plant, Habitat Suitability Index of Ecklonia cava per all survey points, considered physical and physico-chemical factors in 5~10 meters below sea level, was 50~93% (average 80%), so this seaweed, Ecklonia cava, was suitable for making the seaweed bed.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.3 no.2
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• pp.67-72
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• 2022

Ecological research relies on the interpretation of large amounts of visual data obtained from extensive wildlife surveys, but such large-scale image interpretation is costly and time-consuming. Using an artificial intelligence (AI) machine learning model, especially convolution neural networks (CNN), it is possible to streamline these manual tasks on image information and to protect wildlife and record and predict behavior. Ecological research using deep-learning-based object recognition technology includes various research purposes such as identifying, detecting, and identifying species of wild animals, and identification of the location of poachers in real-time. These advances in the application of AI technology can enable efficient management of endangered wildlife, animal detection in various environments, and real-time analysis of image information collected by unmanned aerial vehicles. Furthermore, the need for school education and social use on biodiversity and environmental issues using AI is raised. School education and citizen science related to ecological activities using AI technology can enhance environmental awareness, and strengthen more knowledge and problem-solving skills in science and research processes. Under these prospects, in this paper, we compare the results of our early 2013 study, which automatically identified African cichlid fish species using photographic data of them, with the results of reanalysis by CNN deep learning method. By using PyTorch and PyTorch Lightning frameworks, we achieve an accuracy of 82.54% and an F1-score of 0.77 with minimal programming and data preprocessing effort. This is a significant improvement over the previous our machine learning methods, which required heavy feature engineering costs and had 78% accuracy.

• Korean Journal of Ecology and Environment
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• v.43 no.1
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• pp.161-167
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• 2010

In this study, we implemented an experimental approach of ecological model development in order to emphasize the importance of input variable selection with respect to time-delayed arrangement between input and output variables. Time-series modeling requires relevant input variable selection for the prediction of a specific output variable (e.g. density of a species). Inadequate variable utility for input often causes increase of model construction time and low efficiency of developed model when applied to real world representation. Therefore, for future prediction, researchers have to decide number of time-delay (e.g. months, weeks or days; t-n) to predict a certain phenomenon at current time t. We prepared a total of 3,900 equation models produced by Time-Series Optimized Genetic Programming (TSOGP) algorithm, for the prediction of monthly averaged density of a potamic phytoplankton species Stephanodiscus hantzschii, considering future prediction from 0- (no future prediction) to 12-months ahead (interval by 1 month; 300 equations per each month-delay). From the investigation of model structure, input variable selectivity was obviously affected by the time-delay arrangement, and the model predictability was related with the type of input variables. From the results, we can conclude that, although Machine Learning (ML) algorithms which have popularly been used in Ecological Informatics (EI) provide high performance in future prediction of ecological entities, the efficiency of models would be lowered unless relevant input variables are selectively used.

• Journal of Climate Change Research
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• v.9 no.3
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• pp.263-271
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• 2018

Considering the high needs of recipient countries and the regional biases of Korean Official Development Assistance (ODA) policy, increases in the total amount of ODA and allocation to the forest sector are needed for Central Asia. In Tajikistan, illegal harvesting and grazing cause a gradual decrease in forest area. The Tajikistan government conserves forests by requesting international cooperation and establishing a policy for sustainable management of forest resources and prevention of further damages. To suggest suitable strategies and plans, the current statuses of forests and forestry were investigated, and ODA projects that can illustrate successful Korean experiences of forestation were conceived based on various geographical features and local conditions of Tajikistan in this study. Forest resource creation type projects (fuelwood and Tugai forest restoration) could result in energy independence and enhancement of ecosystem service such as a climate regulation and an increase in biodiversity. Community development type projects (introduction of ecotourism, agroforestry, and planting of fruit trees) can contribute to job creation and encourage participation of local residents, thus improving their incomes. In addition, establishment of a project foundation, including education, training, and a national forest inventory, would help those projects be sustainable in the long-term.

• Journal of Ecology and Environment
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• v.33 no.4
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• pp.275-288
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• 2010

Ecological modeling faces some unique problems in dealing with complex environment-organism relationships, making it one of the toughest domains that might be encountered by a modeler. Newer technologies and ecosystem modeling paradigms have recently been proposed, all as part of a broader effort to reduce the uncertainty in models arising from qualitative and quantitative imperfections in the ecological data. In this paper, evolutionary computation modeling approaches are introduced and proposed as useful modeling tools for ecosystems. The results of our case study support the applicability of an algal predictive model constructed via genetic programming. In conclusion, we propose that evolutionary computation may constitute a powerful tool for the modeling of highly complex objects, such as river ecosystems.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.51-59
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• 2022

In this paper, We analyze elementary school teachers' experiences of Novel Engineering classes with phenomenological qualitative research method. The purpose of this study is to find out why elementary school teachers were interested in Novel Engineering, to find out the pros and cons of the class and the possibility of convergence classes. At first elementary teachers who participated in the study conducted a theme-based ecological sensitivity classes with Novel Engineering in the second semester of 2021. Then we conducted interview with teacher's student observation and the teacher's reflection. As a result of interview analysis, 4 components and 13 sub-components were derived. The derived components are learning from mistakes, recognition of the importance of class research, creativity in the making process, and high integration of Novel Engineering and existing subjects. Based on these results, What this research suggests is the expansion of administrative and financial support for teachers' autonomous class research and convergence classes such as Novel Engineering.

• Journal of Wetlands Research
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• v.16 no.4
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• pp.463-476
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• 2014

The riverine wetlands located in the riverside bring about social conflicts through confrontation between flood control value through flood control project and ecological preservation value of riverine wetland. In this study, we identified the importance of both values through analysis of economic feasibility of flood control and ecological values of riverine wetland, and tried to suggest management plans for riverine wetland considering both of flood control safety and ecological preservation through these results. For this, we calculated the expected annual flood damage of Imjin River using the multi-dimensional flood damage analysis(MD-FDA), and calculated the total value of riverine wetland using the contingent valuation method(CVM) to estimate preservation value of riverine wetland. The result of the analysis shows that the Imjin River needs flood control project and the ecological preservation of riverine wetland is also important. Therefore, the establishment of the management plan for protecting riverine wetland is also needed. As a result, the Imjin riverine wetland was classified as the area where sedimentation continues to take place, and the flood water level to rise. On the basis of the analyzed results, it is judged that the Imjin River needs flood control for public safety and ecological consideration for ecosystem preservation in the river improvement project. So, the stepwise river improvement is desirable to protect riverine wetland and minimize ecosystem disturbance. The results is expected to be made good use as the basic study for establishment of institutional river management plans considering flood control project and riverine wetland preservation in the future.

• Journal of Ecology and Environment
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• v.35 no.1
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• pp.59-59
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• 2012

• Journal of the Korean Society of Environmental Restoration Technology
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• v.14 no.5
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• pp.1-16
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• 2011

This study was intended to develop and suggest 'residents-driven and citizen-participatory restoration procedures' for degraded ecosystems in BaigDooDaeGahn. With some concerns of current engineering-focused restoration approach for damaged ecosystem, the proposed procedures were designed based on the analysis of several case studies on citizen participatory projects such as the Habitat Movement, the Taean tidal wetland restoration effort in Korea, and some historical and innovative cases in Japan and the United States. The suggested procedures were considered to be a dialectical spiral model which was consisted of two goal axis, six system elements, four developmental stages, and five restoration steps. The new system and procedures were applied to damaged farmland areas (about 0.3 ha) on the top of BaigDooDaeGahn, Kangneung city with participation of more than 100 local residents and a dozen of citizen from Seoul. Both high level of possibilities and some barriers for future extended application were identified and adopted for the final version of the proposed procedures for ecological restoration.