• Proceedings of the Korean Aquaculture Society Conference
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• 2003.10a
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• pp.88-89
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• 2003

Rotifer의 먹이 생물로 이용되는 Chlorella의 대량 배양에는 농업용 비료가 널리 이용되고 있다. 그러나 농업용 비료만을 사용할 경우 f/2배지에 비해 성장이 낮은 단점이 있다. 따라서 본 연구는 농업용 비료 배지에 여러 가지 미량 성분을 첨가하여 그 성장 변화를 측정하고, 고밀도 대량 배양에 필요한 미량 원소 성분을 파악하고자 하였다. 먼저 Chlorella의 대량 배양에 이용되는 농업용 비료 배지(복합, 요소비료)에 실내 배양에 주로 이용되는 f/2배지의 trace element 성분 중 코발트(Co), 구리(Cu), 아연(Zn) 및 몰리브덴(Mo)를 f/2배지의 함량을 기준으로 각각 0.5, 1.0, 1.5 및 2.0배로 첨가하여 $25^{\circ}C$, 5,000 lux 연속조명, 15$\textperthousand$에서 배양한 결과 각 미량 원소의 첨가 함량이 높을수록 Chlorella의 성장은 높게 나타났다. 전체 실험구 중에서 아연 2.0배, 구리 2.0배를 첨가한 비료 배지에서 S.G.R.이 각각 0.3598, 0.3599의 성장을 나타내었으며, 아연과 구리 성분을 첨가한 Chlorella에서 높은 성장률을 보였다. 위의 실험에서 첨가효과가 좋은 Cu와 Zn 2.0배와 철(Fe)과 망간(Mn)을 같은 비율(0.5~2.0배)로, 다시 배양한 결과, Cu 2.0배와 Zn 2.0배는 S.G.R.이 각각 0.6283과 0.6231로 가장 높았으며, Fe 2.0배, Mn 2.0배와 1.5배에서 S.G.R이 각각 0.6210, 0.6200, 0.6183의 높은 성장률을 나타내었다. 위의 실험에서 농업용 비료에 첨가된 모든 trace element 중에서 가장 좋은 성장을 나타낸 구리(Cu) 성분의 정확한 공급 농도를 파악하기 위하여 농업용 비료에 2, 3, 4 및 5배를 첨가하여 $25^{\circ}C$, 5,000 lux, 15$\textperthousand$에서 배양한 결과, S.G.R.이 CU 함량을 3배로 첨가하였을 경우 2716$\times$$10^4$cells/$m\ell$로 가장 높은 세포 밀도를 나타내었다. 또한 5종의 trace element (Fe, Mn, Zn, Cu, Co)를 혼합하여 비료 배지(1.25배)에 첨가하여 미량 원소간의 상호 작용에 대해서 알아 본 결과, Fe와 Mn 두가지 성분만을 농업용 비료 배지에 혼합하였을 경우 세포수가 2720$\times$$10^4$cells/$m\ell$로서 높은 성장을 나타내었다. 다음으로 Fe, Mn, Zn 및 Cu 4종을 모두 혼합하여 첨가한 실험구가 2608$\times$$10^4$ cells/$m\ell$ 높은 세포 밀도를 나타내었다. 이러한 결과로서 옥외에서 농업용 비료배지에 구리(Cu, f/2배지 기준 3.0배)성분을 첨가함으로써 Chlorella의 성장을 효율적으로 향상시킬 수 있을 것으로 판단된다.

• Journal of KIISE:Software and Applications
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• v.27 no.5
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• pp.529-542
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• 2000

Recent years, the use of multimedia information is rapidly increasing, and the video media is the most rising one than any others, and this field Integrates all the media into a single data stream. Though the availability of digital video is raised largely, it is very difficult for users to make the effective video access, due to its length and unstructured video format. Thus, the minimal interaction of users and the explicit definition of video structure is a key requirement in the lately developing image and video management systems. This paper defines the terms and hierarchical video structure, and presents the system, which construct the clustering-based video hierarchy, which facilitate users by browsing the summary and do a random access to the video content. Instead of using a single feature and domain-specific thresholds, we use multiple features that have complementary relationship for each other and clustering-based methods that use normalization so as to interact with users minimally. The stage of shot boundary detection extracts multiple features, performs the adaptive filtering process for each features to enhance the performance by eliminating the false factors, and does k-means clustering with two classes. The shot list of a result after the proposed procedure is represented as the video hierarchy by the intelligent unsupervised clustering technique. We experimented the static and the dynamic movie videos that represent characteristics of various video types. In the result of shot boundary detection, we had almost more than 95% good performance, and had also rood result in the video hierarchy.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.2
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• pp.597-604
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• 2014

In this study, we investigate to show the limitations of current bus arrival time estimation model based on each bus route, and to propose a bus arrival time estimation model based on a bus stop to overcome these limitations. Using the characteristic of bus arrival time calculated on travel time between two bus stops, we develop a model to estimate bus arrival times with the data of all buses traveling the same section regardless of bus route numbers. In the proposed model, an estimated arrival time is calculated by weighted moving average method, and verification between observed value and estimated time is performed on the basis of RMSE. Error was reduced by up to 20% compared to the existing models and the data update period was reduced by more than half that is related to the accuracy of bus arrival time information. We expect to solve the following problems with the suggested method: sudden increase or decrease in arrival time of the bus, the difference of the expected arrival times at the same stop between two or more buses having different route numbers, and impossibility of offering information of a bus if the bus is not operated with the designated schedule.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2293-2302
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• 2013

Flood inundation map has been used as a fundamental information in flood risk management. However, there are various sources of uncertainty in flood inundation mapping, which can be another risk in preventing damage from flood. Therefore, it is necessary to remove or reduce uncertainty sources to improve the accuracy of flood inundation maps. However, the entire removal of uncertainty source may be impossible and inefficient due to limitations of knowledge and finance. Sensitivity analysis of uncertainty sources allows an efficient flood risk management by considering various conditions in flood inundation mapping because an uncertainty source under different conditions may propagate in different ways. The objectives of this study are (1) to perform sensitivity analysis of uncertainty sources by different conditions on flood inundation map using the FOA method and (2) to find a major contributor to a propagated uncertainty in the flood inundation map in Flatrock at Columbus, U.S.A. Result of this study illustrates that an uncertainty in a variable is differently propagated to flood inundation map by combination with other uncertainty sources. Moreover, elevation error was found to be the most sensitive to uncertainty in the flood inundation map of the study reach.

• Journal of the Korean earth science society
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• v.35 no.4
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• pp.215-224
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• 2014

Data assimilation effect of mobile rawinsonde observation was evaluated using Unified Model (UM) with a Three-Dimensional Variational (3DVAR) data assimilation system during the intensive observation program of 2013 summer season (rainy season: 20 June-7 July 2013, heavy rain period: 8 July-30 July 2013). The analysis was performed by two sets of simulation experiments: (1) ConTroL experiment (CTL) with observation data provided by Korea Meteorological Administration (KMA) and (2) Observing System Experiment (OSE) including both KMA and mobile rawinsonde observation data. In the model verification during the rainy season, there were no distinctive differences for 500 hPa geopotential height, 850 hPa air temperature, and 300 hPa wind speed between CTL and OSE simulation due to data limitation (0000 and 1200 UTC only) at stationary rawinsonde stations. In contrast, precipitation verification using the hourly accumulated precipitation data of Automatic Synoptic Observation System (ASOS) showed that Equivalent Threat Score (ETS) of the OSE was improved by about 2% compared with that of the CTL. For cases having a positive effect of the OSE simulation, ETS of the OSE showed a significantly higher improvement (up to 41%) than that of the CTL. This estimation thus suggests that the use of mobile rawinsonde observation data using UM 3DVAR could be reasonable enough to assess the improvement of prediction accuracy.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1807-1811
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• 2009

홍수기 유량측정에 있어서 가장 큰 어려움이었던 유속측정의 정확성을 확보하고 실무자의 안전성을 보장하기 위한 기본 취지에서 1993년 시작된 "대하천 유량 자동측정 설비개발"이라는 연구 주제하에 비접촉식 유속측정 기법에 대한 연구를 수년간 연구개발을 거듭한 결과물인 전자파표면유속계를 1999년도에 상품화하여 현재 국내에서 홍수유속측정 설비로 이용되어지고 있다. 현장에서 유량측정업무에 종사하는 실무자들은 홍수유량측정에 비하여 훨씬 간편함을 몸소 느끼게 되었고, 상품화보급이 시작된지 수년이 지난 상태에서는 더욱 성능이 개선된 전자파표면유속계가 개발되기를 기대하였다. 무엇보다도 홍수기에 유량측정시 기존의 유속측정 방법과 같은 방식으로 각 측선마다 전자파표면유속계를 설치해야하는 번거로움을 피력하였다. 기존의 전자파표면유속계는 하천을 가로지르는 교량위에서 흐름방향에 나란히 측정하는 조건을 고려하였기 때문에 이와 같은 편각인 상태의 유속측정은 검토하지 않았다. 이와 같은 사용자의 요구에 대하여 한국수자원공사에서는 홍수기 유량측정시의 사용자 편의성을 증대하기 위하여 성능개선 작업에 착수하여 편각측정용 전자파표면유속계를 개발하였다. 편각측정의 주된 목적은 전자파표면유속계를 모든 측선에 설치하지 않고 한 지점에서 편각(oblique angle)으로 여러 측선의 유속을 측정함으로써 유속측정의 효율성을 증대시키는 것이다. 전자파표면 유속계에서의 편각 측정은 하천의 유속 방향을 기준으로 정면에서 측정하면 수평 편각이 0도가 되며 좌우로 안테나를 회전하여 움직인 각도가 측정 편각으로 결정된다. 전자파의 물리적 특성 때문에 편각이 증가하면 반사된 신호의 수신 크기가 감소하여 측정이 불가능하게 된다. 이러한 문제를 최대한 극복하는 것이 본 연구의 중점 개선사항이다. 이를 통하여 전자파표면유속계를 교량의 임의 지점에 설치하여 좌우로 편각 $20^{\circ}$에 이르는 범위의 유속을 측정하고자 목표로 하였다. 홍수시의 현장 측정 환경은 열악하기 때문에 정확한 측정을 조건으로 측정자에게 최대한의 편리함과 신속한 측정 환경을 제공해야 효과적인 업무수행이 가능하다. 이러한 편각 측정을 가능토록 하기 위해서는 유속측정시 송신되는 전자파의 출력을 기존의 시스템보다 보다 높게 발사하여야 하며 안테나의 수신감도 및 지향성이 개선되어야 한다. 이를 위해서 안테나 형태에 있어 기존 전자파표면유속계와의 차이점은 기존안테나는 파라볼릭 형상이었으나 신규 제작된 안테나는 평면안테나로 이러한 형태의 개선를 통해 안테나 특성 및 구조적인 차이를 유도하였다. 두 가지 안테나 사양 각각 장단점이 있으나 가장 큰 차이점은 빔폭 특성에서 평면 안테나가 우수하며 수신 감도를 향상시킬 수 있다는 강점이 있다. 특히 Tx/Rx 분리의 평면안테나 구조는 파라볼릭 안테나에서 불가능한 기능으로서 편각측정으로 인한 수신감도의 저하의 문제를 해결하기 위한 개선조치이었다. 성능개선 제작된 편각측정용 전자파표면유속계를 이용하여 일반하천의 홍수유속에 대한 편각측정 실험을 안성천에서 실시한 결과 유속 약 1.7 m/s 인 상황에서 편각 $20\;^{\circ}$ 까지 편각 $0\;^{\circ}$일때와 유사한 측정 성능을 보였다.

• Journal of Korea Water Resources Association
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• v.50 no.7
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• pp.489-502
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• 2017

The objective of this study is to propose and evaluate the BAYES-ESP, which is a dam inflow prediction method based on Ensemble Streamflow Prediction method (ESP) and Bayesian theory. ABCD rainfall-runoff model was used to predict monthly dam inflow. Monthly meteorological data collected from KMA, MOLIT and K-water and dam inflow data collected from K-water were used for the model calibration and verification. To estimate the performance of ABCD model, ESP and BAYES-ESP method, time series analysis and skill score (SS) during 1986~2015 were used. In time series analysis monthly ESP dam inflow prediction values were nearly similar for every years, particularly less accurate in wet and dry years. The proposed BAYES-ESP improved the performance of ESP, especially in wet year. The SS was used for quantitative analysis of monthly mean of observed dam inflows, predicted values from ESP and BAYES-ESP. The results indicated that the SS values of ESP were relatively high in January, February and March but negative values in the other months. It also showed that the BAYES-ESP improved ESP when the values from ESP and observation have a relatively apparent linear relationship. We concluded that the existing ESP method has a limitation to predict dam inflow in Korea due to the seasonality of precipitation pattern and the proposed BAYES-ESP is meaningful for improving dam inflow prediction accuracy of ESP.

• Journal of KIISE:Software and Applications
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• v.31 no.8
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• pp.1010-1026
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• 2004

The goal of product line engineering is to support the systematic development of a set of similar software systems by understanding and controlling their common and distinguishing characteristics. The product line engineering is a process that develops reusable core assets and develops a set of software-intensive systems from a common set of core assets in a prescribed way. Currently, many software development technologies are accomplished in context of product line. However, much of the product line engineering research have focused on the reuse of work products relating to the software's architecture, detail design, and code. The product lines fulfill the promise of tailor-made systems built specifically for the needs of particular customers or customer groups. In particular, commonality and variability play central roles in the all product line development processes. These must be treated already during the requirement analysis phase. Requirements in product line engineering are basis of software development just like as traditional system development engineering, and basis of deciding other core assets' property - commonalities and variabilities. However, it is difficult to elicit, analyze and manage correct requirements. Therefore, it is necessary to develop systematic methods which can develop and manage requirement as core asset, which can be stable in anticipative change and can be well adapted to unpredictable change. In this paper, we suggest a method of managing requirements as core asset in product line. Through this method, the reuse of domain requirements can be enhanced. As a result, the cost and time of software development can be reduced and the productivity can be increased.

• Journal of Broadcast Engineering
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• v.17 no.2
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• pp.305-315
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• 2012

Color correction between two or multiple images is very crucial for the development of subsequent algorithms and stereoscopic 3D camera system. Even though various color correction methods are proposed recently, there are few methods for measuring the performance of these methods. In addition, when two images have view variation by camera positions, previous methods for the performance measurement may not be appropriate. In this paper, we propose a method of measuring color difference between corresponding images for color correction. This method finds matching points that have the same colors between two scenes to consider the view variation by correspondence searches. Then, we calculate statistics from neighbor regions of these matching points to measure color difference. From this approach, we can consider misalignment of corresponding points contrary to conventional geometric transformation by a single homography. To handle the case that matching points cannot cover the whole regions, we calculate statistics of color difference from the whole image regions. Finally, the color difference is computed by the weighted summation between correspondence based and the whole region based approaches. This weight is determined by calculating the ratio of occupying regions by correspondence based color comparison.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.1
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• pp.89-102
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• 2010

Future uncertainty on water demand caused by future climate condition and water consumption leads a difficulty to determine the reservoir operation rule for supplying sufficient water to users. It is, thus, important to operate reservoirs not only for distributing enough water to users using the limited water resources but also for preventing floods and drought under the unknown future condition. In this study, the reservoir storage is determined in the first stage when future condition is unknown, and then, water distribution to users and river stream is optimized using the available water resources from the first stage decision using 2-stage stochastic linear programming (2-SLP). The objective function is to minimize the difference between target and actual water storage in reservoirs and the water shortage in users and river stream. Hedging rule defined by a precaution against severe drought by restricting outflow when reservoir storage decreases below a target, is also applied in the reservoir operation rule for improving the model applicability to the real system. The developed model is applied in a system with five reservoirs in the Han River basin, Korea to optimize the multi-reservoir system under various future water demand scenarios. Three multi-purposed dams - Chungju, Hoengseong, and Soyanggang - are considered in the model. Gwangdong and Hwacheon dams are also considered in the system due to the large capacity of the reservoirs, but they are primarily for water supply and power generation, respectively. As a result, the water demand of users and river stream are satisfied in most cases. The reservoirs are operated successfully to store enough water during the wet season for preparing the coming drought and also for reducing downstream flood risk. The developed model can provide an effective guideline of multi-reservoir operation rules in the basin.