• Journal of the Speleological Society of Korea
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• no.90
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• pp.35-56
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• 2009

The purpose of this paper is to analyze the implementation of the karst infrastructure systems for the u-cave. IT based u-cave represents spatial information derived fields, such as geographical distribution of the cave boundaries, physical configuration of the cave locations and formation characteristics of the karst history. These three aspects relate to karst infrastructure systems, cave monitoring center and spatial database implementation. In terms of the IT based u-cave infrastructure implementation systems, the u-cave depends on IT contents and spatial features. uIT contents are strongly related to IT839 strategy due to the national agenda is "u-Korea". Cave should contribute to u-cave construction through the spatial analyses methods including USN, RFID, LiDAR, ELD, and GIS technologies. For these methods various cave functions will guide to u-cave's distribution, location, and characteristics of karst. The infrastructure consists of landforms and speleothem facilities, underground related facilities, environmental protection systems, and cave planning. These six units of the cave infrastructures have spatial databases that consist of spatial configuration, such as 4-D in order to draw the spatial distribution of the limestone and lava caves. IT based u-cave system infrastructure implementation should deal with IT convergence to generate fusion affects.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.443-449
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• 2022

With climate change and the global population growth, the frequency and scope of wildfires are constantly increasing, which threatened people's lives and property. For example, according to California Department of Forestry and Fire Protection, in 2020, a total of 9,917 incidents related to wildfires were reported in California, with an estimated burned area of 4,257,863 acres, resulting in 33 fatalities and 10,488 structures damaged or destroyed. At the same time, the ongoing development of technology provides new tools to simulate and analyze the spread of wildfires. How to use new technology to reduce the losses caused by wildfire is an important research topic. A potentially feasible strategy is to simulate and analyze the spread of wildfires through computing technology to explore the impact of different factors (such as weather, terrain, etc.) on the spread of wildfires, figure out how to take preemptive/responsive measures to minimize potential losses caused by wildfires, and as a result achieve better management support of wildfires. In preparation for pursuing these goals, the authors used a powerful computing framework, Spark, developed by the Commonwealth Scientific and Industrial Research Organization (CSIRO), to study the effects of different weather factors (wind speed, wind direction, air temperature, and relative humidity) on the spread of wildfires. The test results showed that wind is a key factor in determining the spread of wildfires. A stable weather condition (stable wind and air conditions) is beneficial to limit the spread of wildfires. Joint consideration of weather factors and environmental obstacles can help limit the threat of wildfires.

• Mycobiology
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• v.51 no.4
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• pp.195-209
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• 2023

The seed borne disease such as bakanae is difficult to control. Crop yield loss caused by bakanae depending on the regions and varieties grown, ranging from 3.0% to 95.4%. Bakanae is an important disease of rice worldwide and the pathogen was identified as Fusarium fujikuroi Nirenberg (teleomorph: Gibberella fujikuroi Sawada). Currently, four Fusaria (F. fujikuroi, F. proliferatum, F. verticillioides and F. andiyazi) belonging to F. fujikuroi species complex are generally known as the pathogens of bakanae. The infection occurs through both seed and soil-borne transmission. When infection occurs during the heading stage, rice seeds become contaminated. Molecular detection of pathogens of bakanae is important because identification based on morphological and biological characters could lead to incorrect species designation and time-consuming. Seed disinfection has been studied for a long time in Korea for the management of the bakanae disease of rice. As seed disinfectants have been studied to control bakanae, resistance studies to chemicals have been also conducted. Presently biological control and resistant varieties are not widely used. The detection of this pathogen is critical for seed certification and for preventing field infections. In South Korea, bakanae is designated as a regulated pathogen. To provide highly qualified rice seeds to farms, Korea Seed & Variety Service (KSVS) has been producing and distributing certified rice seeds for producing healthy rice in fields. Therefore, the objective of the study is to summarize the recent progress in molecular identification, fungicide resistance, and the management strategy of bakanae.

• Journal of Ecology and Environment
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• v.47 no.3
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• pp.146-156
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• 2023

Background: Endemic species are important components in the flora of most world regions. Most of these species have become threatened and exposed to extinction within the last few years. The present study aims to evaluate the ecosystem services offered by the endemic plant taxa in Egypt and the threats that affect them. Twenty-five field visits were conducted during summer 2018 to spring 2022 to several locations all over Egypt. In each location, the main habitats, national distribution, abundance, goods and threats were recorded. Results: Egypt has 41 endemic taxa belonging to 36 genera and 20 families inhabiting 10 main habitats. Rocky surfaces and sandy formations have the highest number of endemic species. The relation between the number of endemic taxa and the abundance categories indicated that 2 taxa are rare (4.9% of the total taxa), while the remaining were very rare (95%). The most represented offered good was the medicinal uses (32 taxa = 78%), while fuel plants were only represented by 2 taxa (2 taxa = 4.9%). Besides, 14 taxa (34.1% of the total studied taxa) have at least 1 environmental service. Soil fertility (7 taxa = 50%) was the most represented, followed by sand accumulations (6 taxa out of 14 taxa = 43%), while shading plant was the least (1 taxon = 7.1%) (Rosa arabica). The most represented threat is over-cutting and over-collecting (38 taxa = 92.7%), while mining and quarrying is the least represented (4 taxa = 9.8%). Conclusions: The potential and actual goods, services and threats of the endemic taxa were assessed as follows; field observation, information collected from local inhabitants and herbalists, and a literature review. The present study recommended planning a strategy about the importance, threats and conservation of endemic taxa in Egypt that would help in the protection and rescue of these plants and increase awareness about the importance of these plants.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.125-139
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• 2024

The corporate logo symbolizes the company's value, goals and vision as a visual symbol representing the company. It serves as a communication tool for companies by conveying different messages depending on design and color. As demands for ESG management have recently increased, companies have begun to implicitly demonstrate values such as environmental protection and corporate transparency through logos. Companies use logos as a strategy to visually emphasize the value they pursue and project the desired image as a signal. In this process, stakeholders who see the logo experience cognitive bias. Therefore, this study seeks to find out that ESG value can be indirectly communicated by the design of corporate logos, which can also affect a company's ESG evaluation. In addition, this study will examine the moderate effect that logos expect to encounter a greater bias effect as the companies actively include ESG-related issues in corporate disclosure data. This study conducted an analysis of 617 KOSPI-listed companies using ESG evaluation data from 2020 to 2022. The analysis confirmed the significant relation of the type of logo and ESG disclosure on ESG evaluation but found partially moderate effect of ESG disclosure.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.2
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• pp.242-264
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• 2016

Tourism is a major sector of the national and regional economy in Southeast Asia endowed with rich natural environment and a variety of cultural and historical heritages. Tourism has been recognized as the industry without chimneys. However, as tourism sector is getting larger and being globally standardized, various problems such as environmental degradation as well as profits leakage from locals have been gradually aggravated. Against negative impacts from massive tourism various efforts have been tried and community-based ecotourism(CBET), seeking environmental conservation and community development at the same time, has emerged as a noteworthy alternative. By comparing the two cases of CBET in Indonesia and Cambodia, this paper aims to review the current status and future challenges of community development through ecotourism in Southeast Asia's rural villages. In the concrete, this paper analyses in-depth on case of JED(the village ecotourism network) in Bali, Indonesia and CBET project in Ramsar wetland reserves of Steung Treng province, Cambodia and founds out the possibility and main obstacles of community developmental strategy through CBET. Both cases have proven the positive outcomes in terms of environmental protection, local people's awareness improvement, and direct/indirect economic gain from CBET project. However, there are significant, but differentiated limitations in management capacities and stabilities of internal governance of two villages. Both villages are still in need of brisk networks with and assistance from the outside. In the conclusion part, this paper suggests CBET development program in Southeast Asia through Korea's social enterprises as one of the possible ODA programs(in tourism sector).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.5
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• pp.1666-1689
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• 2021

The red line of Permanent Basic Farmland is the most important part in the "three-line" demarcation of China's national territorial development plan. The scientific and reasonable delineation of the red line is a major strategic measure being taken by China to improve its ability to safeguard the practical interests of farmers and guarantee national food security. The delineation of Permanent Basic Farmland zoning (DPBFZ) is essentially a multi-objective optimization problem. However, the traditional method of demarcation does not take into account the synergistic development goals of conservation of cultivated land utilization, ecological conservation, or urban expansion. Therefore, this research introduces the idea of artificial immune optimization and proposes a multi-objective model of DPBFZ red line delineation based on a clone selection algorithm. This research proposes an objective functional system consisting of these three sub-objectives: optimal quality of cropland, spatially concentrated distribution, and stability of cropland. It also takes into consideration constraints such as the red line of ecological protection, topography, and space for major development projects. The mathematical formal expressions for the objectives and constraints are given in the paper, and a multi-objective optimal decision model with multiple constraints for the DPBFZ problem is constructed based on the clone selection algorithm. An antibody coding scheme was designed according to the spatial pattern of DPBFZ zoning. In addition, the antibody-antigen affinity function, the clone mechanism, and mutation strategy were constructed and improved to solve the DPBFZ problem with a spatial optimization feature. Finally, Tongxu County in Henan province was selected as the study area, and a controlled experiment was set up according to different target preferences. The results show that the model proposed in this paper is operational in the work of delineating DPBFZ. It not only avoids the adverse effects of subjective factors in the delineation process but also provides multiple scenarios DPBFZ layouts for decision makers by adjusting the weighting of the objective function.

• Journal of the Korean Society of Marine Environment & Safety
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• v.10 no.2 s.21
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• pp.81-88
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• 2004

We review the adaptation strategies of the 21st climate change in an application to sea level rise. For the development of appropriate adaptation strategies on the coast vulnerable to the sea level rise, we have to consider the issues such as where to adapt, how to adapt, and when to adapt. The coastal target needed adaptation can be found by the evaluation of adaptive capacity of the coastal zone which requires the understanding of impacts and adaptive potential of the natural and socioeconomic systems in the coastal zone. Planned adaptation options to sea level rise can be classified into three generic approaches as managed retreat, accommodation, and protection In practice, the implementation of the options requires the analysis of land use, degree of vulnerability, cost and benefit, etc, and may be combination of the options rather than one approach. In terms of the response timing, the adaptation can be grouped as anticipatory and reactive ones. Generally it is more effective to consider both anticipatory and reactive adaptations at the same time for the impacts of future sea level rise. Due to the scientific uncertainty of climate change issues including sea level rise, the adaptation processes have to be designed to deal with a series of processes such as information md awareness establishment, planning and design implementation, and monitoring and evaluation in continuity and long-term period.

• Computers and Concrete
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• v.19 no.5
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• pp.457-465
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• 2017

The Taiwanese liquid crystal display (LCD) industry has traditionally produced a huge amount of waste glass that is placed in landfills. Waste glass recycling can reduce the material costs of concrete and promote sustainable environmental protection activities. Concrete is always utilized as structural material; thus, the concrete compressive strength with a variety of mixtures must be studied using predictive models to achieve more precise results. To create an efficient waste LCD glass concrete (WLGC) design proportion, the related studies utilized a multivariable regression analysis to develop a compressive strength waste LCD glass concrete equation. The mix design proportion for waste LCD glass and the compressive strength relationship is complex and nonlinear. This results in a prediction weakness for the multivariable regression model during the initial growing phase of the compressive strength of waste LCD glass concrete. Thus, the R ratio for the predictive multivariable regression model is 0.96. Neural networks (NN) have a superior ability to handle nonlinear relationships between multiple variables by incorporating supervised learning. This study developed a multivariable prediction model for the determination of waste LCD glass concrete compressive strength by analyzing a series of laboratory test results and utilizing a neural network algorithm that was obtained in a related prior study. The current study also trained the prediction model for the compressive strength of waste LCD glass by calculating the effects of several types of factor combinations, such as the different number of input variables and the relevant filter for input variables. These types of factor combinations have been adjusted to enhance the predictive ability based on the training mechanism of the NN and the characteristics of waste LCD glass concrete. The selection priority of the input variable strategy is that evaluating relevance is better than adding dimensions for the NN prediction of the compressive strength of WLGC. The prediction ability of the model is examined using test results from the same data pool. The R ratio was determined to be approximately 0.996. Using the appropriate input variables from neural networks, the model validation results indicated that the model prediction attains greater accuracy than the multivariable regression model during the initial growing phase of compressive strength. Therefore, the neural-based predictive model for compressive strength promotes the application of waste LCD glass concrete.

• Journal of the Korean earth science society
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• v.28 no.2
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• pp.240-247
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• 2007

Geological information can be used for various purposes, such as the mine development, landuse, environmental protection, construction industry, and the development of water resource. Although geological information is highly useful for developing industrial raw materials, national land management and people's welfare, there is no unified public institution in charge of collecting and managing geological information at the national level. Thus, the government is to collect geological information, to construct database and to utilize and to distribute the information in a long-term and systematic way, the purpose of this study is to propose strategies for establishing an integrated geological information management system. In this study, we A) analyzed the current state and management of geological information in Korea and other countries; B) surveyed demand for geological information and analyzed correlations; C) drew up a conceptual diagram of the national integrated geological information management system; and D) developed strategies for establishing the national integrated geological information management system.