• Journal of Korea Port Economic Association
• /
• v.26 no.2
• /
• pp.99-118
• /
• 2010

This objective of this study is to thoroughly analyze the policies of international organizations and major advanced countries relevant to the realization of Green port To construct Green ports, there first must be competition to build such ports in sustainable, fixed quantities. Second, there is a great need for cooperation and support networks made binding by mutual agreements on ship recycling. Third, there is a need for scientific research on responses to changes in environmental regulations and on environmental issues. Today, the majority of the world's ports use gasoline or electric energy, and improving capacities for self-sufficiency through development of new and renewable energy is judged to be a pressing task. The conditions for an eco-friendly port is that it must be an important center for economic and industrial activity, and valuable as a site where people live and work, with residences and work places existing in close proximity.

• Journal of the Korea Society for Simulation
• /
• v.15 no.2
• /
• pp.1-12
• /
• 2006

As the needs of intelligent systems increase, there have been diverse approaches that combine artificial intelligence (AI) and simulation in the last decade. RG-DEVS, which is the basis for this paper, embedded AI planning techniques into the simulation modeling methodology of DEVS, in order to specify dynamically a simulation model. However, a hierarchy concept, which is used for various types of problem solving systems. is not included in the planning of RG-DEVS. The hierarchy concept reduces the computational cost of planning by reducing the search space, and also makes it easy to apply the hierarchical process flow of a target system to planning. This paper proposes Hierarchical RG-DEVS (HRG-DEVS) in an attempt to insert hierarchical planning capability into RG-DEVS. For the verification of the proposed modeling methodology, HRG-DEVS is applied to model the block's world problem of ABSTRIPS, which is a classical planning problem.

• Journal for History of Mathematics
• /
• v.25 no.4
• /
• pp.37-51
• /
• 2012

By comparing the development history of rectangular coordinate system in Cartography and Mathematics, we assert in this manuscript that the rectangular coordinate system is not so much related to analytic geometry but comes from the space perceiving ability inherent in human beings. We arrived at this conclusion by the followings: First, although the Cartography have much influenced to various area of Mathematics such as trigonometry, logarithm, Geometry, Calculus, Statistics, and so on, which were developed or progressed around the advent of analytic geometry, the mathematical coordinate system itself had not been completely developed in using the origin or negative axis until 100 years and more had passed since Descartes' publication. Second, almost mathematicians who contributed to the invention of rectangular coordinate system had not focused their studying on rectangular coordinate system instead they used it freely on solving mathematical problem.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.6
• /
• pp.871-880
• /
• 2017

Recently, service based on internet is inter-connected and integrated with a variety of connection. This kind of internet of things consist of heterogenous devices such as sensor node, devices and end-to end equipment which used in conventional protocols and services. The representative system is healthcare system. From healthcare appliance used by IoT, patient and doctor can utilize healthcare information with safety and high speed management. It is very convenient management to operate mobility. But it induced security and vulnerability issues because it has small memory capacity, low power supply and low computing power. This made impossible to implement security algorithm with embedded engine based on hardware. Nowdays, we can't realize conventional standard algorithm due to these kinds of reasons. From the critical issues, it occurred security and vulnerability issues. Therefore, we analysed and compared with conventional method and proposed techniques. Finally, we evaluated security issues and requirement for end-to-end point healthcare system based on internet of things.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.59-59
• /
• 2021

최근 기후변화에 따른 가뭄의 상습화와 농촌용수 수요증가에 대비할 수 있는 가뭄대책의 수립을 통한 용수부족 문제에 대한 근본적인 해소의 필요성 증가하고 있는 가운데 기존 수자원을 효율적으로 활용하기 위한 4차 산업기술을 적용한 순환형 농업용수 관리시스템의 개발이 요구되고 있다. 본 연구는 2017년 가뭄이 극심하였던 충청남도 대사저수지, 풍전저수지와 경기도 마둔저수지에 대하여 기상분석, 관개분석, 수리분석 등을 수행하여 이수관리, 관개만족도, 회귀수의 재이용 등을 예측 관리할 수 있는 순환형 농업용수 관리 시스템을 개발하여 적용하고자, 선제적으로 가뭄 발생 들녘의 용수공급을 위한 농업용 저수지 소유역 순환용수 가용수량을 추정하였다. 2010년부터 2019년까지의 강우유출 모형을 적용하기 위하여 수원, 천안, 이천관측소의 강우, 최고/최저기온, 상대습도, 풍속, 일사량자료를 일자료로 활용하였고, 10년 평균 유출량을 순별로 산정하여 기본자료로 구축하여 주요 취입보 유입수량을 산정하였다. 주요 취입보 유입수량 산정과 취입보의 용적을 산출하기 위하여 시설별 높이차와 하천의 길이 및 폭을 측정하였으며 물수지는 보유용수량과 유입량의 합에서 공급수량을 제외한 값으로 정의하였고, 내용적을 초과하는 경우에는 범람되는 것으로 구현하여 마둔, 대사, 풍전저수지의 임의 지점(하천)별로 순환용수 가용을 위한 모의를 실시하였다. 공간 범위는 평야부 말단부로 선정하였고, 가상으로 약 2m 높이의 임시보를 적용하여 관개기 강우유출수 및 퇴수에 의한 가용수량을 산정하였다. 이를 위하여 하천의 폭과 표고를 이용하여 길이를 산출하여, 내용적을 산출하였다. 소유역별로 TANK 모형적용 결과를 입력자료로 활용하여 일 공급 양수량을 내용적 최대로 하였을 때 회복 기간에 대한 모의를 수행하였다. 강우유출수에 의한 소유역별 가용수량을 4월부터 모의 분석한 결과 유역별로 차이는 발생하지만 만수위에 도달하는 기간은 특이 유역을 제외하고는 약 50일 이상 걸리는 것으로 분석되었고, 관개기가 계속되면서 회복되는 기간이 짧아지는 경향을 보였다. 이를 통해 소유역별 농업용수 부족분 투입을 위한 위치선정과 용수량 판단이 가능할 것으로 예상된다.

• Journal of Wetlands Research
• /
• v.21 no.spc
• /
• pp.80-89
• /
• 2019

The purpose of this study is to analyze the relationship between SPI (Standardized Precipitation Index) meteorological drought and RDI (Reservoir Drought Index) agricultural drought for Geum river basin. Drought Indices was calculated by collecting data of precipitation and agricultural reservoir water storage rate from 2014 to 2016. To evaluated the correlation between meteorological and agricultural drought, the Pearson correlation and the Receiver Operation Characteristic (ROC) analysis were conducted to evaluate the correlation between meteorological and agricultural droughts. The SPI-6 and RDI showed the highest relationship with Pearson coefficient 0.606 and ROC hit rates 0.722 respectively, and the spatial occurrence patterns of drought using overlapped SPI-6 and RDI, the big differences between the 2 indices were occurred in the upstream areas of Miho stream and Nonsan stream from August to October 2015. The analysis using reservoirs specifications for areas where reservoir droughts occurred was conducted, and the areas showing severe drought of RDI were the reservoir areas having relatively small value of basin magnifying power (BMP). This means that a reservoir has the reaction capability for agricultural drought mainly depending on the reservoir BMP.

• Geophysics and Geophysical Exploration
• /
• v.7 no.2
• /
• pp.109-116
• /
• 2004

Petroleum reservoir characterization is a process for quantitatively describing various reservoir properties in spatial variability using all the available field data. Porosity and permeability are the two fundamental reservoir properties which relate to the amount of fluid contained in a reservoir and its ability to flow. These properties have a significant impact on petroleum fields operations and reservoir management. In un-cored intervals and well of heterogeneous formation, porosity and permeability estimation from conventional well logs has a difficult and complex problem to solve by conventional statistical methods. This paper suggests an intelligent technique using fuzzy logic and neural network to determine reservoir properties from well logs. Fuzzy curve analysis based on fuzzy logics is used for selecting the best related well logs with core porosity and permeability data. Neural network is used as a nonlinear regression method to develop transformation between the selected well logs and core analysis data. The intelligent technique is demonstrated with an application to the well data in offshore Korea. The results show that this technique can make more accurate and reliable properties estimation compared with previously used methods. The intelligent technique can be utilized a powerful tool for reservoir characterization from well logs in oil and natural gas development projects.

• Journal of the Korean earth science society
• /
• v.32 no.3
• /
• pp.249-264
• /
• 2011

A multi-Gaussian kriging approach extended to space-time domain is presented for uncertainty modeling as well as time-series mapping of environmental variables. Within a multi-Gaussian framework, normal score transformed environmental variables are first decomposed into deterministic trend and stochastic residual components. After local temporal trend models are constructed, the parameters of the models are estimated and interpolated in space. Space-time correlation structures of stationary residual components are quantified using a product-sum space-time variogram model. The ccdf is modeled at all grid locations using this space-time variogram model and space-time kriging. Finally, e-type estimates and conditional variances are computed from the ccdf models for spatial mapping and uncertainty analysis, respectively. The proposed approach is illustrated through a case of time-series Particulate Matter 10 ($PM_{10}$) concentration mapping in Incheon Metropolitan city using monthly $PM_{10}$ concentrations at 13 stations for 3 years. It is shown that the proposed approach would generate reliable time-series $PM_{10}$ concentration maps with less mean bias and better prediction capability, compared to conventional spatial-only ordinary kriging. It is also demonstrated that the conditional variances and the probability exceeding a certain thresholding value would be useful information sources for interpretation.

• Journal of the Korean Society of Floral Art and Design
• /
• no.44
• /
• pp.3-31
• /
• 2021

To verify the types of effects that plants have in our general living conditions, I examined an air quality in living rooms of the three, 129.78m² size, apartments that were with and without plants. and the findings of the study were as addressed below. 1) Experiments showed no statistically significant differences in Case A. However, in Case B and Case C, the standard deviation of PM10, PM2.5 and PM 1.0 verified that each had statistically significant (p<.01) differences. 2) It is believed that the effect of reducing particle matters due to the installation of plants in the indoor space is to vary significantly depending on the indoor environmental conditions, the cleanliness of the room, and the amount of furniture and may also differ depending on the daily dietary cooking method. In addition, it is believed that the planterior will not only reduce indoor fine dust, but also reduce the psychological comfort and eye fatigue of the residents. Nevertheless, supplementary research is needed. 3) In the planterior design for reducing indoor particle matters, various measures were examined. Among them, the vertical wall design method was tested and suggested through empirical experiments. In addition, maintenance methods were proposed depending on the type of indoor plant.

• Annual Conference of KIPS
• /
• 2006.05a
• /
• pp.783-786
• /
• 2006

컴퓨터기반 협동학습(CSCL)은 컴퓨터를 기반으로 학습자들이 공동체를 형성하고 상호협력관계를 통하여 학습하는 환경으로 학습자가 자신의 능력에 맞게 학습할 수 있고 다른 이들과 생각과 정보를 표현, 교환, 조언, 수정하는 등의 상호작용을 할 수 있다. 이러한 CSCL환경에서 학습자들이 어떤 학습 주제에 대해 주어진 프로젝트를 수행하기 위해 서로간의 생각과 정보를 효과적으로 교환하기 위해서는 그 주제에 속하는 개념들에 대한 용어들이 표준화되어지고, 개념들간의 관련성 및 제약성에 대한 정보들이 미리 정의되어 알려져 있어야만 한다. 그런데, 그러한 정보들을 학습자들이 일일이 파악하기란 매우 힘든 일이다. 이러한 문제는 온톨로지 기술을 이용하여 기계로 하여금 그러한 정보들을 이해하여 처리할 수 있도록 함으로써 해결할 수 있다. 따라서, 본 연구에서는 CAD 분야에서 학습자들이 어떠한 제품을 설계하기 위한 프로젝트를 수행시 서로간의 정보와 의견을 효과적으로 교환함으로써 프로젝트를 보다 효율적으로 수행할 수 있도록 하기 위해 공동의 학습공간을 지원하고 제품 설계에 대한 온톨로지를 구성하여 이를 이용하는 것을 제안한다.