• Annual Conference of KIPS
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• 2021.05a
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• pp.104-107
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• 2021

전 세계적으로 건조한 지역이 늘어남에 따라 산불 발생 빈도가 증가하고 있다. 이에 대한 대안으로 센서를 이용한 산불 감지 시스템의 연구가 이루어지고 있다. 기존의 서버가 센서의 작동시간 설정값을 보내는 방식은 산불 발생 빈도가 높은 환경에서는 산불 감지가 늦어지고 산불 발생 빈도가 낮은 환경에서는 불필요한 산불 감지로 센서의 생명주기 낮아지는 비효율적인 면이 있다. 이에 본 논문에서는 센서 기반 산불 감지 시스템을 위한 향상된 센싱 주기 기법을 제안한다. 제안하는 센싱 주기 기법은 환경 요인, 센서의 작동시간 알고리즘을 이용하여 환경에 맞는 센서의 작동시간 설정값을 결정한다. 그 후 센서의 화재 감지 알고리즘을 통해 센서는 서버로부터 설정값을 받아 운용모드로 전환하여 화재상황이 났을 시에 서버로 메세지를 보낸 후 생명주기를 위해 저전력모드로 전환한다. 성능평가를 통해 기존의 방식보다 평균 18.1분 빠르게 화재상황을 감지할 수 있고 소모전력도 2.2mA만큼 낮았다. 향우 실제 화재환경에서의 성능평가가 필요하다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.2
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• pp.215-222
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• 2018

This study aims to compare and analyze the quality of life of residents between those living in coastal and non-coastal areas. The indicators for the quality of life were divided into three different sectors. First, the economic sector observed the rate of population growth, the number of businesses per 1000 people, the employment and unemployment rate. The second was the environmental sector, which included the number of car registrations per capita, water supply and sewer service ratio, the urban park composition area per 1000 people and the road pavement rate. Thirdly, the social sector comprising data about the number of students per teacher, the number of sickbeds in medical institutions per 1000 people, the rate of traffic accidents per 1000 cars and the portion of social welfare budget in general accounting. The analysis method of standardized indicators and T-Test were carried out in 24 coastal cities and 51 non-coastal cities across the country. Results of the indicator comparison suggested there were significant differences in the number of businesses per 1000 people, the road pavement rate and the rate of traffic accidents per 1000 cars. From the results of each sector comparison, the coastal cities showed a higher value than non-coastal cities only in the economic sector. The quality of life comparison showed that coastal cities were better than non-coastal cities but were not statistically significant.

• Geophysics and Geophysical Exploration
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• v.15 no.4
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• pp.177-189
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• 2012

Evaluation of three-dimensional ore body modeling has been performed by applying the geostatistical integration technique to multiple geophysical (electrical resistivity, MT) and geological (borehole data, physical properties of core) information. It was available to analyze the resistivity range in borehole and other area through multiple geophysical data. A correlation between resistivity and density from physical properties test of core was also analyzed. In the case study results, the resistivity value of ore body is decreased contrast to increase of the density, which seems to be related to a reason that the ore body (magnetite) includes heavy conductive component (Fe) in itself. Based on the lab test of physical properties in iron mine region, various geophysical, geological and borehole data were used to provide ore body modeling, that is electrical resistivity, MT, physical properties data, borehole data and grade data obtained from borehole data. Of the various geostatistical techniques for the integrated data analysis, in this study, the SGS (sequential Gaussian simulation) method was applied to describe the varying non-homogeneity depending on region through the realization that maintains the mean and variance. With the geostatistical simulation results of geophysical, geological and grade data, the location of residual ore body and ore body which is previously reported was confirmed. In addition, another highly probable region of iron ore bodies was estimated deeper depth in study area through integrated modeling.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.385-391
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• 2006

It is very important to make a decision for locating public facility site in a objectively way people in general agree with. This is because public facility affects not only daily life of people in there but also a regional development. This paper sets up a site selection model which utilize an accessibility theory and GIS spatial analysis techniques. This model has been applied to all the twelve alternatives of Chungnam Provincial Office (CPO) sites which are well known to the public. On the criterion of average access time from all the other areas in Chungnam Province, CH alternative is found to be the best one followed by CH/AS, AS alternatives. On the basis of total people-travel time CH/AS alternative turns out to be the best one followed by CH, AS alternatives. In conclusion top three best locations for CPO are CH and AS area where transportation facility are in good condition and population density is highest in Chungnam Province. This fact implies that a transportation accessibility and population density are the primary key in determining the location of public facility.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.929-929
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• 2012

제주도는 연평균 강우량이 1,975mm에 달하는 우리나라 최다우 지역이지만 하천은 주로 한라산 정상을 중심으로 남 북사면 방향으로 급한 경사를 이루며 발달하고 있으며 하천연장은 대부분 15km 내외로 내륙지역의 하천에 비하여 매우 짧은 특성을 보이고 있다. 투수성이 높은 지질학적 특성으로 인하여 집중 호우시 짧은 기간 동안만 유출이 발생하고 평상시 대부분의 하천은 건천의 상태로 유지되고 있다. 향후 기후변화에 의하여 강우량 및 강우강도의 증가로 인한 강우패턴 변화로 집중호우 및 강력한 태풍의 가능성이 지속적으로 증가할 것으로 예측되고 있으나 제주도에서는 기초 수문자료의 확보조차 어려운 실정이며 강우사상에 따른 하천유출 특성 해석 연구는 거의 전무한 실정이다. 본 연구에서는 제주도 도심부에 위치한 화북천 유역을 대상으로 SWAT 모델 및 WMS(HEC-HMS) 모델을 이용하여 장단기 강우에 따른 유출 특성을 해석하고자 한다. 유역 내 수문 기상 자료는 기상청 관할 AWS 및 기상관측지점 자료를 수집하여 사용하였으며 DEM(미국 USGS), 토지피복도(국가수자원 종합정보시스템), 토양통도(농업과학기술원)의 자료를 각각 구축하여 모델의 입력자료로 사용하였다. 또한 제주특별자치도 수자원본부에서 운영하는 화북천 하류지점의 실 관측자료를 이용하여 모델의 결과치를 검 보정 하였으며, 모의결과의 적합성을 판단하기 위하여 상관계수의 제곱( ), 평균 제곱근 오차(RMSE), 모형 효율성계수(ME)를 이용하였다. 모델링 기법을 이용하여 장기간(2008.1.1~2010.12.31) 동안의 유출량을 산정한 결과 2008년에는 전체 유역 평균 강우량 중에서 5.66%가 유출되었으며, 2009년도에는 3.47%, 2010년도에는 8.12%가 유출되었다. 화북천 유역은 단일강우 40~50mm 발생시에도 유출은 발생하지 않으나 선행강우가 발생시에는 20mm의 강우에도 반응을 하고 50mm 이상에서 급격한 유출이 발생하는 특징을 도출하였다. 향후 유역 내의 많은 실측 유출량 관측자료를 구축하고 모델 개선을 통하여 모델링 기법을 적용한다면 보다 정밀한 하천유출량 산정 및 유출특성 해석이 가능할 것으로 판단된다.

• Journal of Korea Water Resources Association
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• v.42 no.2
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• pp.149-160
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• 2009

The objective of this study is to suggest parameter regionalization scheme which is integrated two multivariate statistical methods: principal components analysis(PCA) and hierarchical cluster analysis(HCA). This technique is to apply semi-distributed rainfall-runoff model on ungauged catchments. 7 catchment characteristics (area, mean altitude, mean slope, ratio of forest, water content at saturation, field capacity and wilting point) are estimated for 109 mid-sized sub-basins. The first two components from PCA results account for 82.11% of the total variance in the dataset. Component 1 is related to the location of the catchments relevant to the altitude and Component 2 is connected with the area of these. 103 ungauged catchments are clustered using HCA as the following 6 groups: Goesan 23, Andong 6, Imha 5, Hapcheon 21, Yongdam 4, Seomjin 44. SWAT model is used to simulate runoff and the parameters of the model on the 6 gauged basins are estimated. The model parameters were regionalized for Soyang, Chungju and Daecheong dam basins which are assumed as ungauged ones. The model efficiency coefficients of the simulated inflows for these three dams were at least 0.8. These results also mean that goodness of fit is high to the observed inflows. This research will contribute to estimate and analyze hydrologic components on the ungauged catchments.

• Journal of Korea Water Resources Association
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• v.47 no.9
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• pp.753-766
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• 2014

The future mean sea level rise (MSLR) due to climate change in major harbors of Korean Peninsula has been estimated by some statistical methods in this article. Firstly, Mann-Kendall non-parametric trend test to find some trend in the observed long-term tidal data has been performed and also Bayesian change point analysis has been used also to detect the location of change points and their magnitude quantitatively. Especially, in this study, the results from Bayesian change point analysis have been applied to combine 4 future MSLR scenario projections with local MSLR data at 5 tidal gauges. This proposed procedure including Bayesian change point analysis results can improve the step for the determination of starting years of future MLSR scenario projections with 18.6-year lunar node tidal cycle and effectively consider local characteristics at each gauge. The final results by the proposed procedure in this study have shown that the future MSLR in Jeju region (Jeju tidal gauge) is in the largest increment and also the future MSLRs in Western region (Boryeong tidal gauge) and Southern region (Busan tidal gauge) are in the second largest one. Finally, it has been shown that the future MSLRs in Southern region (Yeosu tidal gauge) and Eastern region (Sokcho tidal gauge) seem to be in the relatively smallest growth among 5 gauges.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.6B
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• pp.544-550
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• 2006

Next-generation wireless/mobile networks are envisioned to have an IP-based infrastructure. One of the research challenges for next-generation all IP-based networks is the design of intelligent mobility management technologies that have a seamless mobility and minimal signaling overhead. Recently, HMIPv6 was proposed by the IETF for efficient mobility management. HMIPv6 reduces the amount of signaling and improves the performance of MIPv6 in terms of handover latency. However the MAP can be a single point of performance bottleneck when there are a lot of local movements. HMIPv6 can cause signaling overhead due to the unnecessary location update of idle mobile nodes. Therefore, in this paper, we propose the dynamic paging Mobile IPv6 that reduces the signaling cost of the unnecessary location updates using IP paging and organizes dynamically optimal MAP area according to user's mobility and traffic. We show performance results that are obtained from the average total location update cost and packet delivery cost.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.5B
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• pp.459-473
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• 2008

This study investigated typhoon characteristics that provoke precipitation which is much attacking periodically in our country, and calculated probability precipitation of extreme rainfalls using Empirical Simulation Technique. The typhoon influenced in Korea was happened 3.18 times per, and year exposed to affect Korea during 107 hours. The depth of precipitation with the typhoon was different according to observation points. The extreme precipitation of typhoon events has analyzed by change and trend analyses. In the results, mean and standard deviation of extreme rainfall has been increasing than the past events in some areas. Also, About 143 typhoons influenced Korea was applied in EST techniques using center position, central pressure, time precipitation data using rainfall observatory in Korea. Therefore, we applied EST techniques and calculated probability precipitation. In the results, Jeonla-do, Gyeongsang-do and Gangwon-do will have heavy rain with typhoon events in high probability.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.459-459
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• 2017

본 연구에서는 순물소모량 개념의 농업용수 수요량 추정방법을 적용하여 기후변화에 따른 제주도의 미래 수요량 변화를 추정 분석하였다. 지하수를 주 수원으로 하고 관정에 의한 밭작물 위주의 작물재배와, 일정 규모 이상의 강우시에만 유출이 발생하며, 유출량의 대부분이 지하수로 침투되는 물순환 특성 등을 고려할 수 있는 제주도 지역에 적합한 순물소모량 산정방법을 적용하였다. 순물소모량 산정에 필요한 실제증발산량 및 잠재증발산량 등은 유역모형인 SWAT을 이용하여 산정하였다. SWAT 모형의 구동에 필요한 미래 기후자료는 10개의 대표적인 대순환모델(General Circulation Model, GCM) 결과로부터 상세화(Downscaling) 기법을 통해 적용하였으며, RCP 4.5와 RCP 8.5 시나리오를 중심으로 미래 기후변화에 따른 영향을 분석하였다. 미래(2010-2099)의 수문성분별 변화를 살펴본 결과, 연도별 증감과 GCM 모델별 차이는 있으나, 평균적으로 강수량, 잠재증발산량, 실제증발산량, 함양량 등이 점차 증가하는 것으로 나타났으며, RCP 4.5보다는 RCP 8.5 시나리오에서 증가현상이 좀 더 크게 나타났다. 순물소모량 또한 2010년에 비해 2099년을 기준으로 약 100~200mm 정도 증가하는 것으로 나타났으며, RCP 8.5 시나리오에서 증가폭이 크게 나타났다. 그러나 이는 자연적인 기후변화에 따른 단위면적당 순물소모량으로서, 인위적인 요인인 농업형태의 변화(관개면적의 증감, 작물품종의 변화, 인위적 용수절감 등)에 따라 실제 지역별 농업용수 수요량은 다른 경향을 나타낼 수도 있다. 특히 농업용수는 계절별, 지역별 편차가 크게 나타나므로, 자연적 조건에 의한 가용수자원량과 지역별 공급시설에 의한 용수공급량 및 수요예측량의 상호분석을 통해 안정적 물수급을 위한 대응책 마련이 필요할 것으로 판단된다.