• Trans-
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• v.16
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• pp.107-133
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• 2024

Narratives are fundamental to human cognition and social culture, serving as the primary means by which individuals and societies construct meaning, share experiences, and convey cultural and moral values. The field of artificial intelligence, which seeks to mimic human thought and behavior, has long studied story generation and story understanding, and today's Large Language Models are demonstrating remarkable narrative capabilities based on advances in natural language processing. This situation raises a variety of changes and new issues, but a comprehensive discussion of them is hard to find. This paper aims to provide a holistic view of the current state and future changes by exploring the intersections and interactions of human and AI narrative intelligence. This paper begins with a review of multidisciplinary research on the intrinsic relationship between humans and narrative, represented by the term Homo narrans, and then provide a historical overview of how narrative has been studied in the field of AI. This paper then explore the possibilities and limitations of narrative intelligence as revealed by today's Large Language Models, and present three philosophical challenges for understanding the implications of AI with narrative intelligence.

• Journal of the Korean Society of Marine Environment & Safety
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• v.16 no.1
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• pp.21-29
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• 2010

The concept of carrying capacity for bivalve culture of an area can be classified into four hierarchical categories, according to their level of complexity and scope, such as physical, production, ecological and social carrying capacity. Most scientific efforts to date have been directed towards modelling production carrying capacity and some of the resultant models have been used successfully. But, the modelling of ecological carrying capacity is still in its infancy, because it should consider the whole ecosystem and all culture activities. A more holistic approach is needed to determine the influence of bivalve aquaculture on the environment and ecological carrying capacity. As an alternative, we can use a set of ecological indicators which can show the environmental performance of bivalve farms and assess ecological carrying capacity. Clearance efficiency and filtration pressure indicators show the value of 0.331 and 0.203, respectively, and these indicators suggest that the present level of culture in GeojeHansan Bay is above the ecological carrying capacity of 0.05. Consequently, these indicators can provide a guidance on the present level of culture in regard to production and ecological carrying capacity in GeojeHansan Bay.

• Korean Journal of Plant Resources
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• v.33 no.1
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• pp.1-14
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• 2020

This study was conducted to analyze community structure and species composition of Pinus densiflora for. erecta Stand in Mt. Cheonchuk (653 m). Field survey was carried out from June to September in 2013. 74 plots (20×20 m) were set up, 5 herb layer plots (3×3 m) were constructed for each plot, and there, Diameter at Breast Heigh t(DBH), height, environmental factor, annual growth were measured. Vascular plants were surveyed as following; 66 family, 165 genus, 211 species, 2 sub species, 29 variety, 6 form 248 taxa. Results of cluster analysis for P. densiflora for. erecta forest, 3 communities were divided into; Quercus mongolica (P-1), Quercus variabilis (P-2) and Quercus aliena-Stephanandra incisa (P-3). There were significant environmental factors that organic layer, annual growth, CEC, total total nitrogen, organic matter and pH for each community. As a result of DCA, P-1 and P-2 were distributed large range of environmental factors but relatively limited in P-3. Distributions of herb layer were affected by sand, cation exchange capacity, silt and total nitrogen. Results of MRPP test for herb layer communities, it was significantly analyzed (A=0.003, P<0.008). Species diversity index was highly recorded in P-3 and influenced by cation exchange capacity, total nitrogen, annual growth in consequence of NMS analysis.

• Korean Journal of Environment and Ecology
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• v.36 no.3
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• pp.303-317
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• 2022

Climate change caused by increased greenhouse gas emissions can alter the natural ecosystem, including the pollination ecosystem and agricultural ecology, which are ecological interactions between potted insects and plants. Many studies have reported that populations of wild bees, including bees and wasps (BW), which are the key pollinators, have gradually declined due to climate change, leading to adverse impacts on overall biodiversity, ultimately with agribusinesses and the life cycle of flowering plants. Therefore, we could infer that the rising temperature in Korean Peninsula (South Korea) due to global warming has led to climate change and influenced the wild bee's ecosystem. In this study, we surveyed the distributional pattern of BW (Superfamily: Apoidea, Vespoidea, and Chrysidoidea) at 51 sites from 2017 (37 sites) to 2018 (14 sites) to examine the effects of climatic factors on the nationwide distribution of BW in South Korea. Previous literature has confirmed that their distribution according to forest climate zones is significantly correlated with mean and accumulative temperatures. Based on the result, we predicted the effects of future climate changes on the BW distribution that appeared throughout South Korea and the species that appeared in specific climate zones using Shared Socioeconomic Pathways (SSPs). The distributions of wild BW predicted by the SSP scenarios 2-4.5 and 5-8.5 according to the BIOMOD species distribution model revealed that common and endemic species will shift northward from the current habitat distribution by 2050 and 2100, respectively. Our study implies that climate change and its detrimental effect on the ecosystem is ongoing as the BW distribution in South Korea can change, causing the change in the ecosystem in the Korean Peninsula. Therefore, immediate efforts to mitigate greenhouse gas emissions are warranted. We hope the findings of this study can inspire further research on the effects of climate change on pollination services and serve as the reference for making agricultural policy and BW conservation strategy

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.4
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• pp.213-221
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• 2018

South Korea has been reluctant to open its geospatial information overseas to ensure security as a divided country. However, this cannot continue as the domestic and international environments related to geospatial information and the industrial ecosystem of information and communication technologies have been changing dramatically. Within this context, this study aims to analyze the causal relations among relevant variables and how they change and interact with time using a systems thinking process. First, causal maps were created for the domains of national security, map-based convergence service, and corporate competition. Then, the causal maps for each domain were integrated, based on which the points for policy intervention and dominant feedback loops were identified. The analysis results showed that securing the self-sufficiency of domestic geospatial businesses is a key element to determine the whole causal map, and the variable that changes the dominant feedback loop from a vicious circle to a virtuous one is the decision to open geospatial information overseas. In this study, I found the policy leverage that is a policy intervention point that can produce a great effect with little input by building a causal map of the interactions between major variables. This study is significant in that it identified and analyzed the dominant feedback loop as to which causal structure would dominate the system in the long term. The results of this study can be used to discuss not only the impacts of map data overseas opening on the national security and geospatial information industry, but also the interactions in the future when Google or other global companies request to release the geospatial information.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.192-192
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• 2018

토양수분량은 가뭄, 홍수 및 갈수 예보, 유출 해석, 작물의 소비수량 산정과 같이 국가 물 관리 및 수자원 계획 및 개발 등의 목적으로 활용되고 있다. 또한, 생태수문학의 중요한 인자로써 식생의 성장 및 변동의 원인과 결과를 동시에 제공한다. 이는 대기의 상호작용 및 총체적인 물 수지와 관련되며 지표면의 침투, 증발산, 오염물의 이송 및 생태계에도 중요한 인자로 활용된다. 토양수분량은 수자원 부존량에 차지하는 비중은 매우 적지만 대상유역의 유출기구 특성을 지배하는 주요인자로 작용하여 홍수량의 규모에 크게 영향을 미친다. 미국 등 여러 선진 외국에서는 오래 전부터 토양수분에 대한 이론적인 개념을 정립하여 토양수분량을 정기적으로 관측해 오고 있다. 우리나라 또한 토양수분량 관측을 하고 있으며, 주로 농업목적으로 토양수분량 관측소가 운영되고 있다. 그 중 기상청에서는 주로 농업기상관측 항목에 포함하여 농업기상관측소를 운영하고 있으며, 농촌진흥청에서는 농작물의 생육 목적으로 토양수분량 자료를 관측하고 있다. 하지만, 유역 단위의 가뭄과 물 순환을 규명하기 위한 연구가 부족하여 최근 국토교통부에서는 유역 단위의 토양수분량 자료생산 연구를 계획하고 있다. 유역 단위의 토양수분관측의 어려움은 주로 산지에서 발생하는 토양수분의 변동이다. 이는 사면의 유출과 식생의 영향 및 기반암의 영향을 받기 때문이다. 본 연구에서는 청미천(수레의산)과 설마천(감악산) 산지 사면에 설치된 유전율식(TDR, Time Domain Reflectometer)장비로 관측된 최근 3년간(2015~2017)의 데이터를 이용하여 경년변화특성을 분석하였다. 분석 결과는 유역의 물 순환을 규명하는데 가장 중요한 연구로써 활용될 것으로 기대된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.4
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• pp.541-547
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• 2022

Realistic education using virtual reality compared to traditional learning can enhance students' understanding of knowledge through immersion and interaction. In previous studies, VR education is mainly focused on experiences, and it is difficult to find its applications for environmental education. Environmental issues are a global problem, and environmental education is essential for the future. In this research, we developed an immersive virtual reality-based environmental education simulation designed to help students recognize the importance of environmental education and participate in environmental-friendly actions. This simulation is based on the virtual ecosystem model, which maintains a casual relationship among environmental factors, spatio-temporal connection, and persistent state. Users intuitively recognize environmental problems and is motivated to solve the problem while experiencing the results of interaction related to environmental factors in virtual environment.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.13 no.1
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• pp.15-26
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• 2008

The NEMURO model is aimed to efficiently understand the interaction among factors of lower trophic level of a marine ecosystem, using data on solar radiation and sea water temperature. In this study, we analyzed the seasonal pattern of nutrients and planktons, and estimated productivity and biomass of planktons from 2002 to 2005. Nutrients($NO_3$, $NH_4$, and $Si(OH)_4$) which were used by phytoplankton showed a high concentration before the bloom of phytoplankton. Nutrients (DON, PON, and Opal) which were a byproduct of phytoplankton showed a high concentration in the same period as the bloom of phytoplankton. Both phytoplankton and zooplankton had two peaks in March and August. Estimated phytoplankton biomass from the NEMURO model showed a similar pattern with observed chlorophyll a concentrations. Biomasses of phytoplankton were bigger than those of zooplankton. Annual mean biomasses of small and large phytoplankton were estimated at 30.961 and $14.070\;{\mu}g\;l^{-1}$ respectively. Annual mean biomass of predatory zooplankton was greater than those of small and large zooplankton.

• Korean Journal of Ecology and Environment
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• v.36 no.4 s.105
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• pp.391-402
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• 2003

Last 20 years have witnessed many studies dealing with effects of elevated $CO_2$ on terrestrial ecosystems. However, fewer efforts have been made to elucidate effects on wetland ecosystems, although they play a key role in global biogeochemical cycles. This review synthesizes published data to reveal effects of elevated $CO_2$ on wetland plants. In particular, we focused on the changes in primary production, community structures, evapotranspiration, and nutrients in plants. Many studies have reported increases in primary production in individual plants, but we could not conclude that this will lead to increases in carbon sequestration in wetland ecosystems. The reasons include transport of photosynthates into belowground parts, speciesspecific responses, interaction among different species, and limitation of other nutrients. However, elevated $CO_2$ increased transpiration rates in many wetland plants, suggesting substantial influences on water budgets of wetlands. In addition, similar to terrestrial ecosystems, elevated $CO_2$ increased C/N ratio of many plants, which may impede organic matter decomposition in the long term. However, further information on dynamics of belowground carbon supplied from wetland plants is warranted to assess effects of elevated $CO_2$ on wetland carbon cycle accurately.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.09a
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• pp.350-354
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• 2010

전 세계적인 지구 온난화 현상으로 해수면 상승과 생태계 변화가 발생하여 기후변화에 대한 사회적관심이 증가하고 있다. 이와 더불어 기후변화와 지구환경시스템의 대기, 수권, 생물권, 지표면 동 각 권역간의 상호작용과 피드백을 고려한 연구가 증가하고 있는 실정이다. 기후와 환경을 통합적으로 분석하여 기후변화에 따른 지구환경시스템의 변화특성을 이해하고 이러한 피드백 과정을 파악하기 위해서는 분석 자료의 원활한 공유와 연계를 위한 통합 데이터베이스 구축이 필요하다. 이를 위해서는 먼저 다양한 기후/환경 연구 분야의 자료를 관리하기 위한 데이터의 의미, 명칭, 정의 등에 대한 원칙의 수립이 요구된다. 따라서 본 연구에서는 기후/환경 변화예측 연구 자료의 원활한 공유와 관리를 위한 데이터 표준화 연구를 수행하였다. 기후/환경 변화예측 연구 분야의 자료 현황을 조사 및 분석하였고 그에 따른 자료 관리 방안을 마련하였다. 그 결과 관리할 오브젝트를 기준으로 기후/환경 연구 분야의 데이터 표준화를 수행하였고 표준단어, 표준도메인, 표준용어를 정의하였다. 데이터 표준화 결과는 기후/환경 변화예측 자료를 관리하고 공유하는데 있어 데이터의 의미를 효율적으로 파악하고, 데이터베이스 설계과정에서 데이터의 품질과 생산성을 향상 시킬 수 있다. 향후 연구에서는 데이터베이스 개념적 엔티티의 속성설계 단계부터 데이터 표준을 적용한 통합 데이터베이스 구축이 필요하다.