• Proceedings of the KOR-KST Conference
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• 1999.10a
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• pp.15-20
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• 1999

아시아지역은 경제적 침체기에서 서서히 회복되어가면서 항공교통수요 또한 경제적 위기 이전의 수준으로 회복해가고 있고 21세기의 새로운 출발과 동북아지역 국가들의 경제활동 활성화로 새로운 항공교통수요가 증대되어가고 있는 시점이다. 동북아 국가들은 자국의 경제 활성화를 위해 공항의 새로운 건설과 확장 등을 계획$.$실행해오고 있으며, 이를 통하여 동북아지역에서의 항공산업의 우위성을 확보하려하고 있다. 중국, 일본 등 우리나라와 경쟁관계에 있는 나라들이 기존 공항의 확장과 신설을 통해 경쟁력을 높이려하고 있으며, 공항의 경쟁력을 높이는데 필수적 요소 중의 하나인 외국 항공사의 유치를 위한 對항공사 마케팅을 다양하고 구체적인 방법으로 실행하고 있다. 우리나라도 2001년 동북아의 중추적인 공항의 건설과 개항을 맞이하여 이들 경쟁공항과의 경쟁에서 우위성을 확보하기 위한 하나의 방안으로서 자국 및 외국항공사의 비행편 유치에 대한 공항마케팅 측면에서의 접근이 필요하게 되었다. 본 연구는 우리나라와 지리적인 국토면적 여건이 비슷한 암스테르담 스키폴공항, 히드로공항 등의 공항들이 취하고 있는 대항공사마케팅 정책과 대항공사 유치를 위해 현재 실행하고 있는 방법들을 통해 앞으로 인천국제공항이 공항마케팅에서의 대항공사 마케팅 전략 수립시 고려 방안들을 제시하고자한다. 이에 공항마케팅의 일반적인 고찰과 외국 선진공항들의 대항공사마케팅전략을 고찰하고, 현재 인천국제공항의 경쟁공항인 동북아지역의 중국 및 일본 공항들의 현황등을 살펴보고자 한다. 마지막으로는 계량적 방법과 문헌들을 통해 여러 가지 방안들을 고려하여 인천국제공항이 실행하여야하는 대항공사마케팅전략방안을 제시하여 본 연구의 목적을 달성하려한다. 및 화물교통량의 증가를 예상하여 5%, 10%, 20%의 증가에 대한 민감도 분석을 실시한 결과 대안1의 경우 교통량의 변화 및 화물통행의 시간가치의 증가시 사회적 편익이 오히려 감소하였고, 대안2와 3의 경우 사회적 편익이 증가하는 것을 알 수 있었다. 이는 경부고속도로의 화물차량의 구성비에 따라 대안 1의 경우 오히려 화물차의 통행시간이 증가함에 그 원인이 있다 할 것이다. 이상과 같은 결론을 통하여 경부고속도로상의 화물전용차선의 설치시는 수답렬 교통량의 구성비와 구간 평균교통량에 의하여 그 효과가 다르게 나타남을 알 수 있었다. 따라서 물류비용 절감차원에서의 화물전용차선의 설치는 본 연구에서 나타낸 방법과 같이 수단간의 경제적 편익을 고려한 구간별 시간대별 효과분석을 통하여 정책의 시행여부가 결정되어야 할 것이다. 한편, 화물전용차선의 설치로 인한 물류비용의 절감을 보다 효과적으로 달성하기 위해서는 종합류류 전산망의 시급한 구축과 함께 화물차의 적재율을 높이고 공차율을 낮출 수 있는 운송체계의 수립이 필요한 것으로 판단된다. 그라나 이러한 화물전용차선의 효과는 단기적인 치유책일 수밖에 없기 때문에 물류유통 시설의 확충을 위한 사회간접자본의 구축을 서둘러 시행하여야 할 것이다.으로 처리한 Machine oil, Phenthoate EC 및 Trichlorfon WP는 비교적 약효가 낮았다.>$^{\circ}$E/$\leq$30$^{\circ}$NW 단열군이 연구지역 내에서 지하수 유동성이 가장 높은 단열군으로 추정된다. 이러한 사실은 3개 시추공을 대상으로 실시한 시추공 내 물리검층과 정압주입시험에서도 확인된다.. It was resulted

• Journal of the Korean Geographical Society
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• v.45 no.1
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• pp.49-74
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• 2010

Cities are major sources of greenhouse gas emissions but also suitable places for implementing proactive climate mitigation and adaptation strategies. Based on the interdisciplinary review of literature, we categorize the current discussion about urban climate mitigation and adaptation planning, policy and practices into four perspectives - sustainability science, global change science, multilevel governance, and structural engineering. While these four schools of thought have distinct perspectives rooted in different disciplinary lenses, our synthesis of the literature identifies several universal themes that are common to all of the perspectives in the context of combating threats posed by climate change. The Portland case study illustrates that a city can make changes to reduce greenhouse gas emissions and increase adaptive capacity to climate change impacts by implementing smart growth, devising local climate action plans that target emission reductions in various sectors, recognizing the interactions and influences of multiple scales of governance, and supporting the installation of various green infrastructures that contribute to green economy. Furthermore, a university can serve as a hub in this climate mitigation and adaptation arena by connecting various levels of community organizations in both public and private sectors, creating innovative research centers and spatially explicit green infrastructure, designing impact assessments and campus carbon inventories, and engaging students and the larger community through service learning.

• Ecology and Resilient Infrastructure
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• v.7 no.3
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• pp.189-198
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• 2020

Wetlands, which provide various ecological services, have been regarded as an important nature-based solution for, for example, sustainable water quality improvement and buffering of impacts from climate change. Although the importance of conserving wetlands to reduce the impacts of various perturbations (e.g., changes of land use, climate, and hydrology) has been acknowledged, the possibility of applying these efforts as a nature-based solution in a macro-scale (e.g., landscape) has been insufficient. In this study, we examine the possibility of ecological network analysis that provides an engineering solution as a nature-based solution. Specifically, we analyzed how land use change affects the structural and functional characteristics (connectivity, network efficiency, and clustering coefficient) of the ecological networks by using the ecological networks generated by multiple dispersal models of the hypothetical inhabiting species in wetlandscape. Changes in ecological network characteristics were analyzed through simultaneously removing wetlands, with two initial conditions for surface area, in the zones where land use change occurs. We set a total number of four zones of land use change with different wetland densities. All analyses showed that mean degree and network efficiency were significantly reduced when wetlands in the zones with high wetland density were removed, and this phenomenon was intensified especially when zones contained hubs (nodes with high degree). On the other hand, we observed the clustering coefficient to increase. We suggest our approach for assessing the impacts of land use change on ecological networks, and with additional analysis on betweenness centrality, we expect it can provide a nature-based engineering solution for creating alternative wetlands.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.7A
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• pp.683-694
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• 2002

In this paper, a digital image compression codec using 2D DWT(Discrete Wavelet Transform) is designed using the FPGA technology for real time operation The implemented image compression codec using wavelet decomposition consists of a wavelet kernel part for wavelet filtering process, a quantizer/huffman coder for quantization and huffman encoding of wavelet coefficients, a memory controller for interface with external memories, a input interface to process image pixels from A/D converter, a output interface for reconstructing huffman codes, which has irregular bit size, into 32-bit data having regular size data, a memory-kernel buffer to arrage data for real time process, a PCI interface part, and some modules for setting timing between each modules. Since the memory mapping method which converts read process of column-direction into read process of the row-direction is used, the read process in the vertical-direction wavelet decomposition is very efficiently processed. Global operation of wavelet codec is synchronized with the field signal of A/D converter. The global hardware process pipeline operation as the unit of field and each field and each field operation is classified as decomposition levels of wavelet transform. The implemented hardware used FPGA hardware resource of 11119(45%) LAB and 28352(9％) ESB in FPGA device of APEX20KC EP20k600CB652-7 and mapped into one FPGA without additional external logic. Also it can process 33 frames(66 fields) per second, so real-time image compression is possible.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.1
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• pp.92-111
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• 2021

As fine dust negatively affects disease, industry and economy, the people are sensitive to fine dust. Therefore, if the occurrence of fine dust can be predicted, countermeasures can be prepared in advance, which can be helpful for life and economy. Fine dust is affected by the weather and the degree of concentration of fine dust emission sources. The industrial sector has the largest amount of fine dust emissions, and in industrial complexes, factories emit a lot of fine dust as fine dust emission sources. This study targets regions with old industrial complexes in local cities. The purpose of this study is to explore the factors that cause fine dust and develop a predictive model that can predict the occurrence of fine dust. weather data and fine dust data were used, and variables that influence the generation of fine dust were extracted through multiple regression analysis. Based on the results of multiple regression analysis, a model with high predictive power was extracted by learning with a machine learning regression learner model. The performance of the model was confirmed using test data. As a result, the models with high predictive power were linear regression model, Gaussian process regression model, and support vector machine. The proportion of training data and predictive power were not proportional. In addition, the average value of the difference between the predicted value and the measured value was not large, but when the measured value was high, the predictive power was decreased. The results of this study can be developed as a more systematic and precise fine dust prediction service by combining meteorological data and urban big data through local government data hubs. Lastly, it will be an opportunity to promote the development of smart industrial complexes.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.1
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• pp.1-8
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• 2015

Wind power systems have gained much attention due to the relatively high reliability, good infrastructures and cost competitiveness to the fossil fuels. Advances have been made to increase the power efficiency of wind turbines while less attention has been focused on structural integrity assessment of structural sub-systems such as towers and foundations. Among many parameters for integrity assessment, the most perceptive parameter may be the induced horizontal displacement at the hub height although it is very difficult to measure particularly in large-scale and high-rise wind turbine structures. This study proposes an indirect displacement estimation scheme based on the combined use of inclinometers and accelerometers for more convenient and cost-effective measurements. To this end, (1) the formulation for data fusion of inclination and acceleration responses was presented and (2) the proposed method was numerically validated on an NREL 5 MW wind turbine model. The numerical analysis was carried out to investigate the performance of the propose method according to the number of sensors, the resolution and the available sampling rate of the inclinometers to be used.

• Journal of Environmental Policy
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• v.7 no.1
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• pp.81-100
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• 2008

This paper reviewed the main characteristics of Web 2.0 and discussed the possible applications related to National Geographic Information Systems. In general, Web 2.0 refers to a next generation World Wide Web environment that let people participate and share information and data. The recent examples using Web 2.0 with geo-spatial information are convincing us apply Web 2.0 into National Geographic Information Systems. In order to imply Web 2.0 into National Geographic Information Systems, we should consider not only technological advancements related to providing the services but also shifting the relationship between information provider(government agencies) and end-users. In other words, new platform should be provided to users so that users can easily create, share, and mash-up data, which was previously managed and owned only by government agencies. Successful integration Web 2.0 platform into National Geographic Information Systems require some important points such that; 1) the consideration for the data should be changed from closed and agency owned data to opened and shared data. 2) data standards should be established to integrate all data from different sources. 3) real change need to be happened rather than different naming on the same system.

• Proceedings of the Korean Society of Community Living Science Conference
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• 2009.09a
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• pp.101-101
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• 2009

어린이들이 자라나면서 인지지능발달도 중요하지만 현대를 살아가는 훌륭한 성인으로서 성장하여 사회나 조직 속에서 보다 성공적인 삶을 살아가려면 정서지능의 발달은 매우 중요하다. 어린이의 정서지능발달이 농촌체험을 통해서 이루어진다면 농촌측면에서 1석2조의 효과를 가져올 수 있는 것이다. 도시의 어린이들이 농촌체험을 하면서 정서지능을 키워갈 때, 우리 농촌에서는 농촌과 농업의 중요성을 알리고, 체험소득을 얻을 수 있기 때문이다. 따라서 본 연구의 목표는 농촌체험의 정서지능 향상 효과를 구명하는데 있다. 연구방법은 서울시 교육청에 지원학교 가운데 1개 학교를 선정하였으며, 대상학교의 5학년 2개 반 아동 중에 체험지원 아동 30명을 실험집단으로 선정하고, 같은 학교 같은 학년 1개 반 아동 30명을 비교집단으로 선정하였다. 조사도구는 청소년용 EQ검사 척도를 활용하였으며(문용린, 1999), 전혀 그렇지않다(0점)부터 매우 그렇다(4점)까지 총 40개 문항으로 구성되었다. 자료수집방법은 실험집단과 비실험집단 학생을 대상으로 사전 및 사후 질문지 120부가 활용되었다. 분석방법으로는 평균, 표준편차, 공분산분석, 독립표본t-검증, 대응표본t-검증이 활용되었다. 적용 체험프로그램은 초등학생을 대상으로 총 9회차로 포도이야기, 참새와 방앗간, 버섯따기 체험, 고구마 캐기, 허브도감만들기 등과 같은 농촌체험프로그램을 실시하였다. 연구결과 실험집단과 비실험집단에 대한 사전 정서지능 측정에서는 실험집단과 비교집단의 정서지능이 차이가 없는 것으로 나타났다. 농촌체험프로그램을 실시한 후 사후검사에서는 실험집단(99.76)이 비교집단(97.79)보다 정서지능이 높게 나타났다. 실험집단의 정서지능의 농촌체험프로그램 사전 및 사후 결과 정서지능이 총점이 평균 7.08 정도 향상된 것으로 나타났으며, 정서지능에 사전 및 사후 결과의 평균을 하위 영역별로 살펴보면 '정서인식'이 1.76, '사고촉진'이 3.32, '정서지식'이 2.40정도 향상되었다. 하지만 비교집단의 정서지능은 사전과 사후간의 유의한 차이가 없어서 정서지능의 변화가 없는 것으로 나타났다. 결론적으로 농촌체험프로그램을 지속적으로 9회 실시한 후 사전 및 사후 정서지능 검사에서 체험집단이 비체험집단보다 6점이나 더 높게 나타나 농촌체험을 통하여 정서지능 향상에 효과 있음이 구명되었다. 이 결과를 토대로 농촌체험은 정서 지능향상에 효과를 주고 있다고 할 수 있다. 앞으로 이러한 결과가 우리 농촌관광마을이나 체험농장에 홍보자료로 활용되었으면 한다.

• Journal of Korean Society of Rural Planning
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• v.23 no.1
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• pp.1-10
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• 2017

The community bridge node finder, based on the stochastic method of network analysis, can compute hubs spot, which would enable the use of network structures with limited information. However, applying this node finder to heterogeneity networks, which are efficient to analyze the main farm complex in fields and the spread of infectious disease, is difficult. These problems, The most connected point that is called hub is often a major role in the heterogeneity network. In this study, we therefore improved the community bridge node finder to enable it to be applied to heterogeneity networks. We attempted to calculate the bridge node quantitatively by using the modularity of cohesion analysis method and the community bridge node finder. Application of the improved method to the HPAI(Highly Pathogenic Avian Influenza) spread in Korea 2008 produced a quarantine coefficient that was 4 - 37% higher than the quarantine coefficient obtained with the centrality method for the first 14 days after the HPAI outbreak. We concluded that the improved method has the ability to successfully calculate the bridge node in heterogeneity networks based on network structures with scant information, such as those describing the spread of infectious disease in domestic animals. And Our method should be capable to find main farm complex in fields.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.529-537
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• 2014

To establish a foundation to objectively interpret Chosun history, we construct people network of the Chosun dynasty. The network shows scale free network properties as if most social networks do. The people network is composed of 1,379 nodes and 3,874 links and its diameter is 14. To analysis of the network dynamics, whole network that is composed of 27 king networks were constructed by adding the first king, Taejo network to the second king, Jeongjong network and then continuously adding the next king networks. Interestingly, betweenness and closeness centralities were gradually decreased but stress centrality was drastically increased. These results indicate that information flow is gradually slowing and hub node position is more centrally oriented as growing the network. To elucidate key persons from the network, k-core and MCODE algorithms that can extract core or module structures from whole network were employed. It is a possible to obtain new insight and hidden information by analyzing network dynamics. Due to lack of the dynamic interacting data, there is a limit for network dynamic research. In spite of using concise data, this research provides us a possibility that annals of the Chosun dynasty are very useful historical data for analyzing network dynamics.