• 한국조경학회지
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• 제23권1호
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• pp.95-109
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• 1995

All human spatial behavior and psychological stress are affected by the 'Privacy'of each space. This Paper deals with the theoretical review of 'privacy'concept and establishment of 'Privacy Model' that can be a useful design tool. 'Privacy Index(Pl)' model of 10 point scale, which is based on 'Hierarchic system of Privacy' in urban spaces by Chermeyeff and Alexander(1963), was established as a hypothetical model in this study. And'Activity Suitability', based on each hierarchy of primacy level, was investigated at each site to construct the validity of 'Privacy Model'. Total 67 sites were investigated by on.-site questionnaire in 3 types of outdoor spaces, (Park), (Campus), and (Garden) respectively. The major results are as follows; 1. The P7rivacy level of earth spaces, distributed from to in and . and (Groun Private> spaces are dominant In , spaces are dondnant 2, Privacy level, based on , showed higher privacy level than that of . This means the criteria of each privacy level should be modified for more specific space. The . could be derived from the (Activity Suitability) of each space. 3.The cognition of privacy level. by user group, showed no significant difference in dach group by sex, age, education, and job, respectively.

• 대한조선학회논문집
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• 제33권1호
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• pp.1-8
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• 1996

3차원 날개면이 부착된 복합지지형 고속선의 정상상태에서의 조파저항을 포텐셜 기저 판요소법으로 해석하였다. 계산에 사용된 고속선은 물 속에 잠겨있는 몸체와 몸체의 중간 및 후방에 붙어 있는 3차원 날개면과 수면을 관통하는 앞, 뒤의 스트럿트로 구성되었다. 물체 표면(몸체, 날개면 및 스트럿트)에는 쏘오스와 다이폴을, 자유표면에는 쏘오스를 분포하였고, 선형화된 자유표면 조건과 방사조건을 만족시키기 위해 4점 유한차분을 이용하였으며, 날개면의 유동해석을 위해 준압력 Kutta조건(semi-linear pressure Kutta condition)을 적용하였다. 패널사이의 틈새 문제를 개선하기 위해 비 평면성이 고려된 쌍곡면 판요소법을 적용하여 각 선체 표면에서의 수치 계산 정도를 높이고자 하였다. 수치 계산 결과는 회류수조에서 모형 시험을 수행한 결과와 비교하였으며, 이로부터 본 연구에서 개발된 수치 계산법은 고속선의 최적 선형 개발에 이용 가능한 도구가 될 수 있는 것으로 나타났다.

• Journal of Information Processing Systems
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• 제13권6호
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• pp.1613-1627
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• 2017

The concept of the Internet of Things (IoT) enables physical objects or things to be virtually accessible for both consuming and providing services. Undue access from irresponsible activities becomes an interesting issue to address. Maintenance of data integrity and privacy of objects is important from the perspective of security. Privacy can be achieved through various techniques: password authentication, cryptography, and the use of mathematical models to assess the level of security of other objects. Individual methods like these are less effective in increasing the security aspect. Comprehensive security schemes such as the use of frameworks are considered better, regardless of the framework model used, whether centralized, semi-centralized, or distributed ones. In this paper, we propose a new semi-centralized security framework that aims to improve privacy in IoT using the parameters of trust and reputation. A new algorithm to elect a reputation coordinator, i.e., ConTrust Manager is proposed in this framework. This framework allows each object to determine other objects that are considered trusted before the communication process is implemented. Evaluation of the proposed framework was done through simulation, which shows that the framework can be used as an alternative solution for improving security in the IoT.

• 한국환경과학회지
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• 제18권9호
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• pp.1045-1055
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• 2009

The discharge within the basin in Jeju Island was calculated by using SWAT model, which a Semi-distributed rainfall-runoff model to the important rivers. The basin of Chunmi river of the eastern region of Jeju Island, as the result of correcting as utilizing direct runoff data of 2 surveys, appeared the similar value to the existing basin average runoff rate as 22% of average direct runoff rate for the applied period. The basin of Oaedo river of the northern region showed $R^2$ of 0.93, RMSE of 14.92 and ME of 0.70 as the result of correcting as utilizing runoff data in the occurrence of 7 rainfalls. The basin of Ongpo river of the western region showed $R^2$ of 0.86, RMSE of 0.62 and ME of 0.56 as the result of correcting as utilizing runoff data except for the period of flood in $2002{\sim}2003$. Yeonoae river of the southern region showed $R^2$ of 0.85, RMSE of 0.99 and ME of 0.83 as the result of correcting as utilizing runoff data of 2003. As the result of calculating runoff for the long term about 4 basins of Jeju Island from the above results, SWAT model wholly appears the excellent results about the long-term daily runoff simulation.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2005년도 학술발표회 논문집
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• pp.143-148
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• 2005

The main purpose of this study is to suggest and evaluate an operational method for assessing the potential impact of climate change on hydrologic components and water resources of regional scale river basins. The method, which uses large scale climate change information provided by a state of the art general circulation model(GCM) comprises a statistical downscaling approach and a spatially distributed hydrological model applied to a river basin located in Korea. First, we construct global climate change scenarios using the YONU GCM control run and transient experiments, then transform the YONU GCM grid-box predictions with coarse resolution of climate change into the site-specific values by statistical downscaling techniques. The values are used to modify the parameters of the stochastic weather generator model for the simulation of the site-specific daily weather time series. The weather series fed into a semi-distributed hydrological model called SLURP to simulate the streamflows associated with other water resources for the condition of $2CO_2$. This approach is applied to the Yongdam dam basin in southern part of Korea. The results show that under the condition of $2CO_2$, about $7.6\% of annual mean streamflow is reduced when it is compared with the observed one. And while Seasonal streamflows in the winter and autumn are increased, a streamflow in the summer is decreased. However, the seasonality of the simulated series is similar to the observed pattern and the analysis of the duration cure shows the mean of averaged low flow is increased while the averaged wet and normal flow are decreased for the climate change.

• 대한환경공학회지
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• 제36권1호
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• pp.58-66
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• 2014

도시화 및 산업화 등의 영향으로 인한 도시하천의 수질오염 문제가 사회적 관심의 대상이 되고 있다. 특히, 신도시의 개발로 인하여 유역 내 물순환 특성이 급격하게 변화한다는 사실을 고려할 때, 이에 영향을 받는 도시하천의 장래수질에 대해서도 많은 우려가 제기되고 있다. 그러나 아직 개발이 완료되지 않은 신도시의 장래수질을 정량적으로 예측하는 합리적인 방안은 현 시점까지도 제시되지 못하고 있는 실정이다. 따라서 본 연구에서는 환경부가 장기간의 모니터링 결과에 기반하여 제시한 토지계 지목별 발생부하 원단위를 분포형 강우유출모형인 SWMM (Storm Water Management Model)에 연계 적용함으로써 장래 신도시 내 도시하천의 수질을 거시적으로 예측하는 방법론을 제시하는 한편, 현재 신도시 개발이 진행되고 있는 G 신도시 내 대상유역의 장래수질 예측을 위하여 이를 활용함으로써 그 적용성을 검증하였다. '연단위 유량가중 평균농도 (Y-EMC; Yearly based Event Mean Concentration)' 개념을 도입하여 신도시 개발 이후의 장래수질을 예측한 결과, BOD 18.7 mg/L, T-N 16.2 mg/L 및 T-P 0.85 mg/L로 산정되어 목표수질인 하천생활기준 III등급의 달성이 어려운 것으로 나타났으며, 생활계 배출부하량을 80% 이상 저감시켰을 때 이 기준을 만족할 수 있는 것으로 예측되었다. 본 연구의 결과는 신도시 개발에 따른 장래 토지이용 특성의 변화에 대응하여 도시하천의 수질을 효율적으로 예측 관리하기 위한 기초적인 방법론으로 활용될 수 있을 것으로 판단된다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2008년도 학술발표회 논문집
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• pp.1087-1091
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• 2008

Evapotranspiration (ET) is an important factor while simulating daily streamflow in hydrological models. The LAI (Leaf Area Index) value reflecting the conditions of vegetation generally affects considerably in the estimation of ET, for example, when using FAO Penman Monteith equation. Recently in evaluating the vegetation condition as a fixed quantity, the remotely sensed LAIs from MODIS satellite data are avaliable, and the time series values of spatial LAI coupled with land use classes are utilized for ET evaluation. The 4 years (2001-2004) MODIS LAI data were prepared for the evaluation of continuous hydrological model, SLURP (Semi-distributed Land Use-based Runoff Processes). The model was applied for simulating the dam inflow of Chungjudam watershed ($6661.58\;km^2$) located in the upstream of Han river basin of South Korea. From the model results, the FAO Penman Monteith ET was affected by the MODIS LAIs. Especially for the ET of deciduous forest, the Total ET was 33.9 % lager than coniferous forest for the 3.8 % lager of LAI. The watershed average LAI caused a 7.0 % decrease in average soil moisture of the watershed and 14.3 % decrease of ground water recharge.

• 한국습지학회지
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• 제20권1호
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• pp.94-104
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• 2018

강우-유출 모의를 수행할 때 기상 및 강우관측소의 자료를 이용하는 것이 일반적이다. 그러나 유역면적이 클 경우 기상 및 강우관측소의 자료만으로 신뢰성 있는 유출량을 산정하기란 어렵다. 따라서 본 연구에서는 이용되는 강우자료에 따라 준분포형 모형에 의해 산정되는 유출량에 미치는 영향을 검토하기 위해 대상유역에 위치하고 있는 기상관측소의 강우자료, 기상 및 강우관측소의 강우자료, 크리깅 기법에 의해 기상 및 강우관측소의 강우자료를 공간적으로 분포시켜 얻은 가상지점의 관측 강우자료를 이용해 각 소유역의 면적 강우량을 산정하였다. 또한 각각의 강우자료들을 비교하였으며, 분포형 모형인 SWAT모형을 이용하여 각각의 강우자료에 따른 유출량을 비교 분석하였다. 본 연구는 공간 분포된 면적강우량을 이용해 산정된 유출량의 정확성을 검토하기 위한 것으로써 분석 결과, 공간 분포된 면적 강우량을 이용한 유출량이 기상 및 강우관측소의 강우량을 이용한 유출량보다 실제 유출량을 보다 더 잘 모의하는 것으로 나타났다. 이는 공간 분포된 강우가 실제 강우패턴을 가장 잘 반영한다고 할 수 있다.

• 대한원격탐사학회지
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• 제24권1호
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• pp.25-33
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• 2008

To investigate the hydrologic impacts of climate changes on dam inflow for Soyanggangdam watershed $(2694.4km^2)$ of northeastern South Korea, SLURP (Semi-distributed Land Use-based Runoff Process) model and the climate change results of CCCma CGCM2 based on SRES A2 and B2 were adopted. By the CA-Markov technique, future land use changes were estimated using the three land cover maps (1985, 1990, 2000) classified by Landsat TM satellite images. NDVI values for 2050 and 2100 land uses were estimated from the relationship of NDVI-Temperature linear regression derived from the observed data (1998-2002). Before the assessment, the SLURP model was calibrated and verified using 4 years (1998-2001) dam inflow data with the Nash-Sutcliffe efficiencies of 0.61 to 0.77. In case of A2 scenario, the dam inflows of 2050 and 2100 decreased 49.7 % and 25.0 % comparing with the dam inflow of 2000, and in case of B2 scenario, the dam inflows of 2050 and 2100 decreased 45.3 % and 53.0 %, respectively. The results showed that the impact of land use change covered 2.3 % to 4.9 % for the dam inflow change.

• 한국컴퓨터정보학회논문지
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• 제23권11호
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• pp.103-109
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• 2018

This paper presents an idea and framework to automate a full cycle business process management and re-engineering by integrating traditional business process management systems, process mining, data mining, machine learning, and simulation. We build our framework on the cloud-based platform such that various data sources can be incorporated. We design our systems to be extensible so that not only beneficial for practitioners of BPM, but also for researchers. Our framework can be used as a test bed for researchers without the complication of system integration. The automation of redesigning phase and selecting a baseline process model for deployment are the two main contributions of this study. In the redesigning phase, we deal with both the analysis of the existing process model and what-if analysis on how to improve the process at the same time, Additionally, improving a business process can be applied in a case by case basis that needs a lot of trial and error and huge data. In selecting the baseline process model, we need to compare many probable routes of business execution and calculate the most efficient one in respect to production cost and execution time. We also discuss the challenges and limitation of the framework, including the systems adoptability, technical difficulties and human factors.