• Information Systems Review
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• v.21 no.4
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• pp.125-141
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• 2019

With the advent of deep learning technology, which is represented by AlphaGo, artificial intelligence (A.I.) has quickly emerged as a key theme of digital transformation to secure competitive advantage for businesses. In order to understand the trends of A.I. based digital transformation, a clear comprehension of the A.I. business ecosystem should precede. Therefore, this study analyzed the A.I. business ecosystem from the multi-actor network perspective and identified the A.I. platform strategy type. Within internal three layers of A.I. business ecosystem (infrastructure & hardware, software & application, service & data layers), this study identified four types of A.I. platform strategy (Tech. vertical × Biz. horizontal, Tech. vertical × Biz. vertical, Tech. horizontal × Biz. horizontal, Tech. horizontal × Biz. vertical). Then, outside of A.I. platform, this study presented five actors (users, investors, policy makers, consortiums & innovators, CSOs/NGOs) and their roles to support sustainable A.I. business ecosystem in symbiosis with human. This study identified A.I. business ecosystem framework and platform strategy type. The roles of government and academia to create a sustainable A.I. business ecosystem were also suggested. These results will help to find proper strategy direction of A.I. business ecosystem and digital transformation.

• Ecology and Resilient Infrastructure
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• v.8 no.2
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• pp.112-119
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• 2021

In 2012, the National Park Service conducted an ecological health assessment to efficiently preserve and manage the ecosystem. The need for improving pre-existing management indicators was recognized from the revised Natural Park Act because, while the indicators of the existing evaluation system focused on endangered species, ecosystem disturbance, diversity, water quality (BOD, DO), and habitat fragmentation, they did not reflect the lack of indicators for marine ecological assessment, policy changes, and the time demands. The evaluation results comprised a five-point grading system, which made the analysis of immediate changes, difficult. Therefore, the benthic pollution index (BPI) and habitat restoration indicators were added to improve the evaluation system. The National Park was assessed using 10 classifications, however, only four classifications were evaluated. The ratings were divided into five states, and ten classes were presented as pictograms. The assessment results showed a similar trend as the indicators were improved, increasing from level 3 to level 5. However, the results of the Wolaksan National Park after improvement in the indicators were lower than that before the improvement, whereas, for the Juwangsan National Park, it was higher. This study aims at contributing to the scientific and systematic management of the national park ecosystem by improving the ecological health assessment system.

• Korean Journal of Ecology and Environment
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• v.57 no.2
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• pp.83-91
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• 2024

This study utilizes association rule learning and clustering analysis to explore the co-occurrence and relationships within ecosystems, focusing on the endangered brackish-water snail Clithon retropictum, classified as Class II endangered wildlife in Korea. The goal is to analyze co-occurrence patterns between brackish-water snails and other species to better understand their roles within the ecosystem. By examining co-occurrence patterns and relationships among species in large datasets, association rule learning aids in identifying significant relationships. Meanwhile, K-means and hierarchical clustering analyses are employed to assess ecological similarities and differences among species, facilitating their classification based on ecological characteristics. The findings reveal a significant level of relationship and co-occurrence between brackish-water snails and other species. This research underscores the importance of understanding these relationships for the conservation of endangered species like C. retropictum and for developing effective ecosystem management strategies. By emphasizing the role of a data-driven approach, this study contributes to advancing our knowledge on biodiversity conservation and ecosystem health, proposing new directions for future research in ecosystem management and conservation strategies.

• Journal of Environmental Impact Assessment
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• v.30 no.6
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• pp.355-360
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• 2021

As the domestic water management policy shifted from concentration-oriented water management to load management-centered Total Maximum Daily Load (TMDL), water quality and aquatic ecosystems brought changed. However, it was difficult to determine whether the water quality and the health of the aquatic ecosystem improved after the implementation of the TMDL due to changes in pollutant sources and discharge fluctuations ect, so the effect was analyzed using a log-linear model and biological indicators (Benthic Macroinvertebrates). As a result, BOD and T-P concentrations in the Jinwi River Watershed were reduced by 30% and 35%, showed the effect of improving water quality, however the benthic macroinvertebrates index (BMI) downgraded from grade D to grade E. Therefore, efforts to cultivate ecologicalrivers are necessary to upgrade the health of the aquatic ecosystem in the river watershed.

• Journal of the Korean Institute of Landscape Architecture
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• v.32 no.5
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• pp.102-118
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• 2004

The purpose of this study was to propose an ecological management plan by the comprehensive analysis of biotope structures on Namsan Urban Natural Park in Seoul. Classified by actual vegetation, structure of layer and vegetation damage, biotope structures were composed of forest area, compact management area, herb area, cultivated area and non-ecology(urban) area. Succession had seened to stop in the Native forest. Artifical forest was divided into two types. The first, upper layer, was too dense to accommodate lower layer plants, the other case was the appearance of Quercus spp. and the first stage plants of succession following the declination of the upper layer plants. The soil pH of Nam-san Urban Park was 4.21∼4.51, which meant the soil was becoming acid. As the result of acidity, leaching of available nutrition(K/sup +/, NH₄/sup +/, Ca/sup ++/ etc.) was immediately influenced by the natural ecosystem, influence of acid rain was disturbed to becoming organic matter which was use to plants. In the case of a biotope structure management plan, the urban area was prohibited to spread outside. Cultivated and herb area was regenerated to natural forest. In the forest area, the compact management area was maintained with its present condition, and then it is desirable to make a preservation area and to plant shrubs. Planted Pinus densiflora Community was needed to eliminate competitive species of canopy layer, and plant shrubs. Management of deciduous broad-leaved Comm. was maintained in its present conditionand it is desirable to raise the diversity of the understory and shrub layer. The management of the artifical forest seems to be suitable for Q. spp. community. The care of naturalized plants prevents the expansion and restores the structure of wild plants. The soil management was a marked restoration soil ecosystem in order to prevent soil acid and drying.

• Journal of Forest and Environmental Science
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• v.35 no.4
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• pp.281-284
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• 2019

Efficient management of road-kill data is difficult at national scale when there are many organizations that are in charge of different road types. Here, we described the first case to integrate road-kill data through Korea Road-kill Observation System (KROS) by the Korean government. The system was launched in June 2018 to approximately 3,000 road menders. During 15 months, 5,812 road-kill observations were registered on KROS including mammals, birds, reptiles and amphibians. Of them, about 86 % was occupied by five species (Hydropotes inermis, Felis catus, Capreolus pygargus, Nyctereutes procyonoides, and Canis lupus familiaris) listed in number of occurrences. The observed road-kill frequency rapidly increased until April 2019 and peaked on May 2019. However, as the system is just starting, the results from KROS cannot be treated as the exact representation of road-kill trend in the country. Although the efficient method to manage national road-kill statistic is arranged, still there are some limitations to overcome to make the system stable.

• Journal of Broadcast Engineering
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• v.23 no.1
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• pp.19-25
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• 2018

The growth of virtual reality(VR), which is regarded as a part of the 4th industrial revolution, is being delayed differently from the prediction. In this study, we briefly analyze these reasons from the point of view of CPND ecosystem. Virtual reality is a technology in which a user wears a device and accesses a platform through a network to use various contents. Therefore, balanced development of C-P-N-D ecosystem fields is important for successful popularization of virtual reality. In Korea, content, platforms, and devices, except for the network, are evaluated as having low competitiveness. While efforts to secure competitiveness in individual fields are important, it is also necessary to nurture network-based platforms that can utilize killer content. It should be kept in mind that simple breeding of killer content alone can not build an entire virtual reality C-P-N-D ecosystem, and the broadcast / media sector also needs to take this approach.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.36 no.4
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• pp.409-416
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• 2003

Marine populations are maintained through the processes of spawning, growth, recruitment, natural death and fishing in a marine ecosystem. Based upon each of these processes, a quantitative population dynamic model was developed to estimate damages in fishery production due to accidents in a fishing ground. This model was applied for the abalone culture grounds in Korean waters. Three components of damages were identified in the ecosystem of the abalone culture grounds, namely, physical damages in the substratum of the fishing ground, biological damages in the structure and function of the ecosystem, and damages in fishery production. Considering these three components the processes and durations of damages in fishery production were determined. Because the abalone population is composed of multiple year classes, damages influence all the year classes in the population, when they occur The model developed in this study is: $$y=(n_{\lambda}+1){\times}Y_E\;-\;\sum\limits^{n_\lambda-n_c}_{l=0}\;y_{n_c/i}$$ where, y is the expected damages in fishery production during the period of restoration of the damaged abalony population, $Y_E$ is the annual equilibrium yield, $n_{\lambda}$ is the maximum age in the population, $t_s$ is the year of damage occurrence, $n_c$ is the age at recruitment, and $\sum\limits^{n_\lambda-n_c}_{l=0}\;y\;_{n_c/i}$ is total expected lifetime catch of year classes which were recruited during the restoration period.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.3
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• pp.1-18
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• 2018

The purpose of this study is to analyze sensitivity of forest ecosystem to climate change using spatial analysis methods focused on 6 national parks. To analyze, we constructed MODIS NDVI and temperature of Korea Meteorologic Administration based on 1km spatial resolution and 16 days. And we conducted time-series and correlation analysis using MODIS NDVI and temperature. A most sensitive region to climate change is Jirisa National Park(r=0.434) and Seoraksan National Park(r=0.415), there is the highest mean correlation coefficient. The sensitivity of forest ecosystem varied according to habitat characteristics and forest types in national park. In Abies koreana of Hallsan Nation Park, temperature has raised, but NDVI has decreased. these results will be based data of climate change adaption policy for protecting forest ecosystem.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.18 no.1
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• pp.127-133
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• 2015

Interests in ecosystem services have increased and a number of attempts to perform a quantitative valuation on them have been undertaken. To classify the ecosystem types landcover classification maps are generally used. However, some forest types on landcover classification maps have a number of errors. The purpose of this study is to verify the forest types on the landcover map by using a variety of field survey data and to suggest an improved method for forest type classifications. Forest types are compared by overlaying the landcover classification map with the 4th forest type map, and then they are verified by using National Forest Inventory, 3rd National Ecosystem Survey and field survey data. Misclassifications of forest types are found on the forest on the forest type map and farm and other grassland on the landcover map. Some errors of forest types occur at Daegu, Busan and Ulsan metropolitan cities and Gangwon province. The results of accuracy in comprehensive classification show that deciduous forest is 76.1%; coniferous forest is 54.0%; and mixed forest is 22.2%. In order to increase the classification accuracy of forest types a number of remote sensing images during various time periods should be used and the survey period of NFI and the National Forest Inventory and National Ecosystem Survey should be consistent. Also, examining areas with wide forest patch should be prioritized during the field survey in order to decrease any errors.