• Title/Summary/Keyword: National Infrastructure

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Unit Loadings of Heavy Metals by Non-point Sources - Case Study in a Valley Watershed - (비점원에 의한 중금속 원단위 부하량 - 곡간지 유역을 중심으로 -)

  • Kim, Jin-Ho;Han, Kuk-Heon;Lee, Jong-Sik
    • Korean Journal of Environmental Agriculture
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    • v.27 no.1
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    • pp.35-43
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    • 2008
  • The study was carried out to estimate runoff loads of heavy metals in the valley watershed at the middle of South Korea, during farming season. There were no other pollution sources except agricultural activity. From 27 April 2006 to 31 October 2007, water samples were collected using two methods. The first method was regular sampling wherein water samples were taken every two weeks; and the other method was through regular sampling when water were collected during each rainfall event. Results showed that heavy metals were found in the water from the regular samples, and were highest during May and June. It was presumed that this might have been contributed by farming activities. Heavy metal concentration of the irregular samples was lower than regular samples. The correlation coefficient between each heavy metal of the regular samples were as follows: Fe-Al>Cr-Al>Fe-Cr>Mn-Fe. The correlation coefficient of the irregular samples were the following: Fe-Al>Fe-Cu is positive; and Pb-Cu>Ni-Al is negative. Measured pollutant loads of heavy metals in the valley watershed were : 2.047 kg $day^{-1}$ of Al, 0.008 kg $day^{-1}$ of Cd, 0.034 kg $day^{-1}$ of Cr, 0.311 kg $day^{-1}$ of Cu, 0.601 kg $day^{-1}$ of Fe, and 0.282 kg $day^{-1}$ of Zn in 2006; while in 2007, the following were observed: 2.535 kg $day^{-1}$ of Al, 0.026 kg $day^{-1}$ of Cd, 0.055 kg $day^{-1}$ of Cu, 0.727 kg $day^{-1}$ of Fe, and 0.317 kg $day^{-1}$ of Zn. In the analysis of data gathered, the loading rates of effluents from the valley watershed during the rainy season were : 79.8% of Al, 69.1% of Cu, 82.5% of Fe, and 69.1% of Zn in 2006; while 69.9% of Al, 67.5% of Cu, 70.4% of Fe, and 67.5% of Zn in 2007.

The Development of 'Korea's Science Education Indicators' (한국의 과학교육 종합 지표 개발 연구)

  • Hong, Oksu;Kim, Dokyeong;Koh, Sooyung;Kang, Da Yeon
    • Journal of The Korean Association For Science Education
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    • v.41 no.6
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    • pp.471-481
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    • 2021
  • The importance of science education for cultivating the competencies required by an intelligent information society is gradually being strengthened. The government's roles and responsibilities for science education are stipulated by laws and policies in Korea. In order to systematically support science education, continuous monitoring of related policies is essential. This study aims to develop indicators that can be used to systematically and continuously monitor the national policies on science education in Korea. To achieve this goal, we first derive the framework for the indicators that has two dimensions (learner and science education context) and three categories (input, process, and outcome) from literature reviews. In order to derive the components and subcomponents of the indicators, the contents of science education-related indicators developed in Korea or abroad were reviewed. In order to verify the suitability and validity of the framework and components of the initial indicators, a two-round Delphi method was conducted with 25 expert participants with five different professions in science education. Finally, three components of the 'input' category (student characteristics, teacher characteristics, and educational infrastructure), three components of the 'process' category (science curriculum implementation, science educational contents and programs implementation, and teacher professional development program implementation), and five components of the 'outcome' category (science competency, participation and action, affective achievement, cognitive achievement, and satisfaction) were derived. An instrument to collect data from students, teachers, and institutions was developed based on the components and subcomponents, and content validity and internal consistency of the instrument were analyzed. Korea's Science Education Indicators developed in this study can comprehensively measure the current status of science education and is expected to contribute to a more efficient and effective science education policy planning and implementation.

Evaluation of the Economic Value of Potential Ecosystem Services of Unexecuted Urban Planning Facilities - Focused on Urban Green Spaces and Urban Forests in Seoul - (미집행 도시계획시설의 잠재적 생태계 서비스 가치평가 - 서울시 공원 및 녹지를 중심으로 -)

  • Park, Jin-Han;Kim, Song-Yi;Heo, Han-Kyul
    • Journal of the Korean Institute of Landscape Architecture
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    • v.47 no.4
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    • pp.24-32
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    • 2019
  • According to the Ministry of Land, Infrastructure, and Transport, the total area of unexecuted urban planning facilities in Korea is about $1,257km^2$, of which 47% is the unexecuted urban green space and forests. In the case of Seoul, the total area of unexecuted urban planning facilities is about $66km^2$, which is 5.24% of the total unexecuted area in the entire country. In Seoul, approximately 88% of the total unexecuted area is urban green space and forests, which is higher than the national rate. About 92% of the unexecuted urban planning facilities are long-term unexecuted urban planning facilities that are more than 10 years old. This study assessed the economic value of potential ecosystem services, focusing on the regulation service, supporting service, and cultural service, for urban green space and forests of unexecuted urban planning facilities in Seoul by using meta-regression analysis. As a result, the value of the regulation service provided by the urban green space and forests in Seoul was about 16.39 billion KRW, the value of the supporting service was about 5.8 billion KRW, and the cultural service value was about 7.78 billion KRW. The total value of ecosystem services is about 33.93 billion KRW. The values of regulation service and cultural service were the highest, and that was attributed to the characteristics of the downtown area. The significance of this study is to evaluate the value of ecosystem services for unexecuted urban planning facilities in Seoul. The results of this study can be used not only in the process of urban planning or policymaking but also land compensation methods applying the concept of an ecosystem service payment system.

A Study on Exchange and Cooperation between South and North Korea through UNESCO Intangible Cultural Heritage of Humanity : Focusing on joint nomination to the Representative List (인류무형문화유산 남북 공동등재를 위한 교류협력방안 연구)

  • Song, Min-Sun
    • Korean Journal of Heritage: History & Science
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    • v.50 no.2
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    • pp.94-115
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    • 2017
  • 'Arirang folk song in the Democratic People's Republic of Korea' was inscribed to the Representative List of the Intangible Cultural Heritage of Humanity in 2014 and 'Tradition of kimchi-making in the Democratic People's Republic of Korea' followed in 2015. It is presumed that North Korea was influenced by the Republic of Korea inscribing 'Arirang, lyrical folk song in the Republic of Korea' to the list in 2012 as well as 'Kimjang, making and sharing kimchi in the Republic of Korea' in 2013. These cases show the necessity (or possibility) of cultural exchanges between the two Koreas through UNESCO ICH lists. The purpose of this article is to explore the possibility of inter-Korean cultural integration. Therefore, I would like to review UNESCO's ICH policy and examine the ways of cooperation and joint nominations to the Representative List of Intangible Cultural Heritage of Humanity between the two Koreas. First, I reviewed the amendments to the laws and regulations of the two Koreas and how the two countries applied the UNESCO Convention for the Safeguarding of the Intangible Cultural Heritage. Although the cultural exchange is a non-political field, given the situation between South and North Korea, it is influenced by politics. Therefore, we devised a stepwise development plan, divided into four phases: infrastructure development, cooperation and promotion, diversification, and policymaking and alternative development. First a target group will be needed. In this regard, joint nominations to the Representative List of the UNESCO Intangible Cultural Heritage of Humanity will be suitable for cooperation. Both countries have already started separate nominations on shared ICH elements to the UNESCO lists. Therefore, I have selected a few elements as examples that can be considered for joint nominations. The selected items are makgeolli (traditional liquor), jang (traditional soybean sauce), gayangju (homebrewed liquor), gudeul (Korean floor heating system), and jasu (traditional embroidery). Cooperation should start with sharing information on ICH elements. A pilot project for joint nomination can be implemented and then a mid-term plan can be established for future implementation. When shared ICH elements are inscribed on UNESCO ICH lists, various activities can be considered as follow-ups, such as institution visits, performances, exhibitions, and joint monitoring of the intangible cultural heritage. Mutual cooperation of the two Koreas' intangible cultural heritage will be a unique example between the divided countries, so its value will be recognized as a symbol of cultural cooperation. In addition, it will be a foundation for cultural integration of the two Koreas, and it will show the value of their unique ICH to the world. At the same time, it will become a good example for joint nominations to the Representative List recommended by UNESCO.

Evaluating the Strategic Reaction of Labor Union Movement toward Labor Reforms: The Two National Centers' Reaction toward Park, Guen-Hye Government's Labor Market Restructuring (노동개혁국면에 있어 노조운동의 대응전략에 관한 평가: 박근혜정부의 노동시장 구조개혁에 대한 양노총의 대응을 중심으로)

  • Lee, Byoung-Hoon
    • 한국사회정책
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    • v.23 no.1
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    • pp.1-23
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    • 2016
  • This study evaluates the strategic capacity of Korean labor union movement by examining policy alternatives and strategic steps that the Federation of Korean Trade Unions and the Korean Confederation of Trade Unions have shown in response to Park Geun-Hye government's labor market structuring policies. While the government-led labor reform was carried out as intended, organized labor has not simply failed to achieve progressive labor reforms to enhance employment security, but also to exert their strategic capacity effectively for preventing Park's labor market flexibilization policies. The two national centers have not been able to exert their strategic capacity (such as intermediating, framing, articulating, learning) for mobilizing the resources of internal solidarity, network embeddedness, narrative discourse, and organizational infrastructure. In particular, the formation and diffusion of public discourse is a significant part of strategic capacity of labor unions dealing with the labor politics of labor market restructuring, since organized labor, which is under the unfavorable constraints of limited movement resources and power imbalance with the business circle, needs to mobilize massive support and participation from union members and civil society organizations. In this light, it becomes of more importance for labor union movement to exert their strategic capacity toward internal solidarity and network embeddedness in the stage of labor market reforms. Under the recent stage of labor reforms, however, the labor unions has not harnessed their movement resources effectively, but undertaken their protest in a traditional manner, thereby losing its public efficacy from inside and outside. Moreover, it is necessary to build and activate the network of organic solidarity among organized labor, civil society organizations and progressive political parties, in order to cope with the pro-business coalition of power elites for accomplishing pro-labor reforms.

Step-by-Step Growth Factors for Technology-Based Ventures: A Case Study of Advanced Nano Products Co. Ltd (기술기반 벤처기업의 단계별 성장요인: (주)나노신소재 사례 중심으로)

  • Jeong, Chanwoo;Lee, Wonil
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.6
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    • pp.85-105
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    • 2021
  • In this study, a case study was conducted on Advanced Nano Products Co.,Ltd, a company that was established in 2000 and has the core technology to produce and commercialize nano materials and ultrafine nano powders based on nano technology. Deviating from the general case study, a case study analysis frame was set based on the theory of technology management and industry-university cooperation theory, and cases were analyzed. In this case study, Advanced Nano Products Co.,Ltd. was analyzed from two analytical perspectives: the establishment of a Management Of Technology system within the company and the Industry-Academic Cooperation activity. Based on this theoretical-based analysis framework, company visit interviews and related data research and analysis were conducted. As a result of the study of the case company, it was possible to derive how the technology management and industry-university cooperation affect the growth stage of the company as follows. First, the strategic use of technology management is an important factor in strengthening the competitive advantage and core competencies of venture companies, and for survival and growth of startups in the early stages. Second, strategic use of technology management and patents and establishment of a patent management system are a part of business strategy and play a pivotal role in corporate performance. Third, the human and material infrastructure of universities affects the growth of companies in the early stage of start-up, and the high utilization of industry-university cooperation promotes the growth of companies. Fourth, continuous industry-academic cooperation activities in the growth and maturity stages of a company's growth stage are the basis for activating external exchanges and building networks. Lastly, technology management and industry-university cooperation were found to be growth factors for each growth stage of a company. In order for a company to develop continuously from the start-up to the growth and maturity stages, it is necessary to establish a technology management system from the beginning and promote strategic technology management activities. In addition, it can be said that it is important to carry out various industry-academic cooperation activities outside the company. As a result of the case analysis, it was found that Advanced Nano Products Co.,Ltd, which performed these two major activities well, overcame the crisis step by step and continued to grow until now. This study shows how the use of technology management and industry-academic cooperation creates value in each growth stage of technology-based venture companies. In addition, its active use will play a big role in the growth of other venture companies. The results of this case study can be a valid reference for growth research of technology start-up venture companies and related field application and utilization.

Machine Learning Based MMS Point Cloud Semantic Segmentation (머신러닝 기반 MMS Point Cloud 의미론적 분할)

  • Bae, Jaegu;Seo, Dongju;Kim, Jinsoo
    • Korean Journal of Remote Sensing
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    • v.38 no.5_3
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    • pp.939-951
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    • 2022
  • The most important factor in designing autonomous driving systems is to recognize the exact location of the vehicle within the surrounding environment. To date, various sensors and navigation systems have been used for autonomous driving systems; however, all have limitations. Therefore, the need for high-definition (HD) maps that provide high-precision infrastructure information for safe and convenient autonomous driving is increasing. HD maps are drawn using three-dimensional point cloud data acquired through a mobile mapping system (MMS). However, this process requires manual work due to the large numbers of points and drawing layers, increasing the cost and effort associated with HD mapping. The objective of this study was to improve the efficiency of HD mapping by segmenting semantic information in an MMS point cloud into six classes: roads, curbs, sidewalks, medians, lanes, and other elements. Segmentation was performed using various machine learning techniques including random forest (RF), support vector machine (SVM), k-nearest neighbor (KNN), and gradient-boosting machine (GBM), and 11 variables including geometry, color, intensity, and other road design features. MMS point cloud data for a 130-m section of a five-lane road near Minam Station in Busan, were used to evaluate the segmentation models; the average F1 scores of the models were 95.43% for RF, 92.1% for SVM, 91.05% for GBM, and 82.63% for KNN. The RF model showed the best segmentation performance, with F1 scores of 99.3%, 95.5%, 94.5%, 93.5%, and 90.1% for roads, sidewalks, curbs, medians, and lanes, respectively. The variable importance results of the RF model showed high mean decrease accuracy and mean decrease gini for XY dist. and Z dist. variables related to road design, respectively. Thus, variables related to road design contributed significantly to the segmentation of semantic information. The results of this study demonstrate the applicability of segmentation of MMS point cloud data based on machine learning, and will help to reduce the cost and effort associated with HD mapping.

Development of tracer concentration analysis method using drone-based spatio-temporal hyperspectral image and RGB image (드론기반 시공간 초분광영상 및 RGB영상을 활용한 추적자 농도분석 기법 개발)

  • Gwon, Yeonghwa;Kim, Dongsu;You, Hojun;Han, Eunjin;Kwon, Siyoon;Kim, Youngdo
    • Journal of Korea Water Resources Association
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    • v.55 no.8
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    • pp.623-634
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    • 2022
  • Due to river maintenance projects such as the creation of hydrophilic areas around rivers and the Four Rivers Project, the flow characteristics of rivers are continuously changing, and the risk of water quality accidents due to the inflow of various pollutants is increasing. In the event of a water quality accident, it is necessary to minimize the effect on the downstream side by predicting the concentration and arrival time of pollutants in consideration of the flow characteristics of the river. In order to track the behavior of these pollutants, it is necessary to calculate the diffusion coefficient and dispersion coefficient for each section of the river. Among them, the dispersion coefficient is used to analyze the diffusion range of soluble pollutants. Existing experimental research cases for tracking the behavior of pollutants require a lot of manpower and cost, and it is difficult to obtain spatially high-resolution data due to limited equipment operation. Recently, research on tracking contaminants using RGB drones has been conducted, but RGB images also have a limitation in that spectral information is limitedly collected. In this study, to supplement the limitations of existing studies, a hyperspectral sensor was mounted on a remote sensing platform using a drone to collect temporally and spatially higher-resolution data than conventional contact measurement. Using the collected spatio-temporal hyperspectral images, the tracer concentration was calculated and the transverse dispersion coefficient was derived. It is expected that by overcoming the limitations of the drone platform through future research and upgrading the dispersion coefficient calculation technology, it will be possible to detect various pollutants leaking into the water system, and to detect changes in various water quality items and river factors.

Analysis of Climate, Weather, Solar Radiation and Solar Energy in Major Cities of Tajikistan (타지키스탄 주요 도시의 기후, 날씨, 일사량 및 태양에너지 분석)

  • Taeyoo Na;Jeongdu Noh;Hyeontae Kim;Seong-Seung Kang
    • The Journal of Engineering Geology
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    • v.33 no.3
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    • pp.389-401
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    • 2023
  • Climate, weather, insolation (solar radiation), and solar energy in major cities of Tajikistan were investigated prior to construction of infrastructure for the Dushanbe Solar Station. In Dushanbe city there was a 70% probability of sunny days from May 16 to October 23, a period of 5.2 months. August had the most sunny days of in the year, with 99% probability of a sunny, the cloudiest month was February with a 41% chance of being sunny. In major cities of the Sughd and Gorno-Badakhshan states, the average number of cloudy days per month was ~3.3, with Dzhauz having 53 day and Fedchnko Glacier 79 days. For the 18 major cities of Tajikistan, the average annual total solar radiation was 2,429 W/m2, and the average monthly solar radiation was 202 W/m2. The city with the lowest annual total and monthly average solar radiation was Shartuz in Sughd state, with values ~2.7% less than the national average. The cities with the highest annual total and monthly average solar radiation were Khorog and Jirgatol in Gorno-Badakhshan state, with values ~10% above the national average. The daily average incident shortwave solar energy in the cities Dushanbe, Karakul, and Jirgatol was ~7.8 kWh per 2.4 m2 during summer (May-August), and 2.7 kWh during winter (November-February), or ~35% that of summer.

Analysis of Optimal Locations for Resource-Development Plants in the Arctic Permafrost Considering Surface Displacement: A Case Study of Oil Sands Plants in the Athabasca Region, Canada (지표변위를 고려한 북극 동토 지역의 자원개발 플랜트 건설 최적 입지 분석: 캐나다 Athabasca 지역의 오일샌드 플랜트 사례 연구)

  • Taewook Kim;YoungSeok Kim;Sewon Kim;Hyangsun Han
    • The Journal of Engineering Geology
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    • v.33 no.2
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    • pp.275-291
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    • 2023
  • Global warming has made the polar regions more accessible, leading to increased demand for the construction of new resource-development plants in oil-rich permafrost regions. The selection of locations of resource-development plants in permafrost regions should consider the surface displacement resulting from thawing and freezing of the active layer of permafrost. However, few studies have considered surface displacement in the selection of optimal locations of resource-development plants in permafrost region. In this study, Analytic Hierarchy Process (AHP) analysis using a range of geospatial information variables was performed to select optimal locations for the construction of oil-sands development plants in the permafrost region of southern Athabasca, Alberta, Canada, including consideration of surface displacement. The surface displacement velocity was estimated by applying the Small BAseline Subset Interferometric Synthetic Aperture Radar technique to time-series Advanced Land Observing Satellite Phased Array L-band Synthetic Aperture Radar images acquired from February 2007 to March 2011. ERA5 reanalysis data were used to generate geospatial data for air temperature, surface temperature, and soil temperature averaged for the period 2000~2010. Geospatial data for roads and railways provided by Statistics Canada and land cover maps distributed by the North American Commission for Environmental Cooperation were also used in the AHP analysis. The suitability of sites analyzed using land cover, surface displacement, and road accessibility as the three most important geospatial factors was validated using the locations of oil-sand plants built since 2010. The sensitivity of surface displacement to the determination of location suitability was found to be very high. We confirm that surface displacement should be considered in the selection of optimal locations for the construction of new resource-development plants in permafrost regions.