• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.2
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• pp.174-189
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• 2015

The objective of this study was to reconstruct spatial information using the results of the investigation and evaluation of the health of the living organisms, habitat, and water quality at the investigation points for the aquatic ecosystem health of the Nakdong River basin, to support the rational decision making of the aquatic ecosystem preservation and restoration policies of the Nakdong River basin using spatial analysis techniques, and to present efficient management methods. To analyze the aquatic ecosystem health of the Nakdong River basin, punctiform data were constructed based on the position information of each point with the aquatic ecosystem health investigation and evaluation results of 250 investigation sections. To apply the spatial analysis technique, the data need to be reconstructed into areal data. For this purpose, spatial influence and trends were analyzed using the Kriging interpolation(ArcGIS 10.1, Geostatistical Analysis), and were reconstructed into areal data. To analyze the spatial distribution characteristics of the Nakdong River basin health based on these analytical results, hotspot(Getis-Ord Gi, $G^*_i$), LISA(Local Indicator of Spatial Association), and standard deviational ellipse analyses were used. The hotspot analysis results showed that the hotspot basins of the biotic indices(TDI, BMI, FAI) were the Andong Dam upstream, Wangpicheon, and the Imha Dam basin, and that the health grades of their biotic indices were good. The coldspot basins were Nakdong River Namhae, the Nakdong River mouth, and the Suyeong River basin. The LISA analysis results showed that the exceptional areas were Gahwacheon, the Hapcheon Dam, and the Yeong River upstream basin. These areas had high bio-health indices, but their surrounding basins were low and required management for aquatic ecosystem health. The hotspot basins of the physicochemical factor(BOD) were the Nakdong River downstream basin, Suyeong River, Hoeya River, and the Nakdong River Namhae basin, whereas the coldspot basins were the upstream basins of the Nakdong River tributaries, including Andong Dam, Imha Dam, and Yeong River. The hotspots of the habitat and riverside environment factor(HRI) were different from the hotspots and coldspots of each factor in the LISA analysis results. In general, the habitat and riverside environment of the Nakdong River mainstream and tributaries, including the Nakdong river upstream, Andong Dam, Imha Dam, and the Hapcheon Dam basin, had good health. The coldspot basins of the habitat and riverside environment also showed low health indices of the biotic indices and physicochemical factors, thus requiring management of the habitat and riverside environment. As a result of the time-series analysis with a standard deviation ellipsoid, the areas with good aquatic ecosystem health of the organisms, habitat, and riverside environment showed a tendency to move northward, and the BOD results showed different directions and concentrations by the year of investigation. These aquatic ecosystem health analysis results can provide not only the health management information for each investigation spot but also information for managing the aquatic ecosystem in the catchment unit for the working research staff as well as for the water environment researchers in the future, based on spatial information.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.11
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• pp.517-526
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• 2008

As the functionality of portable devices arc being enhanced and the performance is being greatly improved, power dissipations of battery driven portable devices are being increased. So, an efficient power management for reducing their power consumption is needed. In this paper, we propose a window-based DVS algorithm for MPEG Player. The proposed algorithm maintains the recently frame information and execution time received from MPEG player in window queue and dynamically adjusts (frequency, voltage) level based on window queue information. Our algorithm can be implemented in the common multimedia player as a module. We employed well-known MPlayer for the measurement of performance. The experimental result shows that the proposed algorithm reduces energy consumption by 56% on maximal performance.

• Journal of Environmental Policy
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• v.2 no.1
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• pp.87-105
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• 2003

토양오염기준은 토지이용별 또는 오염노출경로별 오염토양의 조사, 평가 및 복구를 위한 유용한 지침으로 이용될 수 있다. 이 연구에서는 한국을 포함한 몇몇 국가의 토양오염기준을 특히 중금속에 주안점을 두고 검토하였다. 또한 국내 일부 폐광산 지역의 환경오염 조사결과를 토양오염기준과 비교하며 평가하였다. 영국, 네덜란드, 독일, 캐나다, 일본 등의 국가에서는 복구우선순위 선정과 인체건강 및 생태계 보전을 위한 오염토양의 선별수단으로 토양오염기준을 개발하여 왔다. 국내에서는 1996년 토양환경보전법(시행규칙)의 시행에 따라 토양 오염기준 설정과 특정토양오염유발시설의 관리, 정기적 토양오염도 조사를 실시하고 있으며 이후 2001년 보완 개정되어 토양오염물질의 확대적용과 토양오염 조사, 관리 및 복원 방법의 보완이 이루어진 바 있다. 그럼에도 불구하고 현 중금속(Cd, Cu 및 Pb)의 오염기준을 적용할때 폐광산 지역의 폐기물과 이에 오염된 토양의 경우 다량의 중금속을 함유하고 있지만 오염지역으로 규정되지 않을 수도 있다. 이 연구 결과, 0.1N 염산용출법은 중금속의 토양 내 화학적 형태 중 일부 교환성 및 환원성 형태만을 추출하며 황화물 형태를 충분히 용출하지 못하고 있는 것으로 나타났다. 또한 장기적인 환경조건 변화에 따른 토양 내 중금속의 용출성 변화를 평가하기 위해서는 강산추출법이 요구되어진다. 따라서 폐광산지 역의 중금속에 의한 토양오염의 타당한 환경평가 결정을 위해 현 분석기법 외에 총함량 분석방법의 병행적용과 이에 따른 새로운 오염기준 설정 등이 필요한 것으로 제시되었다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.9 no.4
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• pp.227-234
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• 2005

In this paper, a smart wireless MEMS-based accelerometer(MA) system has been designed and experimented for smart monitoring system of civil structures. Various performance and experimental tests have been carried out to evaluate whether this system is suitable for monitoring system of civil structures. First, we examined its sensitivity, resolution, and noise, specifically to evaluate the performance of the smart wireless MA system. The results of experiments enabled us to estimate performance of the MA in SWMAS in comparison to the value of data sheet from MA. Second, characteristics of model structure were analyzed by the ambient vibration test based on the NExT combined with ERA. Finally, this analysis was compared to the one that was made by FE results, and the comparison proved that a smart wireless MA system was fitted in smart monitoring system effectively.

• Journal of the Korean Society for information Management
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• v.31 no.1
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• pp.231-250
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• 2014

Due to the recent development of Information and Communication Technologies (ICT), the amount of research publications has increased exponentially. In response to this rapid growth, the demand of automated text processing methods has risen to deal with massive amount of text data. Biomedical text mining discovering hidden biological meanings and treatments from biomedical literatures becomes a pivotal methodology and it helps medical disciplines reduce the time and cost. Many researchers have conducted literature-based discovery studies to generate new hypotheses. However, existing approaches either require intensive manual process of during the procedures or a semi-automatic procedure to find and select biomedical entities. In addition, they had limitations of showing one dimension that is, the cause-and-effect relationship between two concepts. Thus;this study proposed a novel approach to discover various relationships among source and target concepts and their intermediate concepts by expanding intermediate concepts to multi-levels. This study provided distinct perspectives for literature-based discovery by not only discovering the meaningful relationship among concepts in biomedical literature through graph-based path interference but also being able to generate feasible new hypotheses.

• Korean Journal of Construction Engineering and Management
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• v.15 no.1
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• pp.62-69
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• 2014

Since a government policy greatly affects markets and firms, an evaluation on government's policies is recognized as a critical issue. In Korea, two major policy plans on CM(Construction Management) include the Construction Industry Promotion Plan and the Construction Technology Promotion Plan from which Government's CM policies can be understood. The objective of the study is to analyze and discuss CM firm's perception and evaluation toward the Government's CM policies of the two plans based on the Gap analysis. The paper identified that the CM firms perceive that the Government's CM policies properly deal with key issues of the industry. However, they evaluate that the execution of the policies has been overall under-performed. As a way forward, the Government needs to improve on the execution plan and performance measurement rather than to develop new policy agenda.

• Korean Journal of Construction Engineering and Management
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• v.21 no.6
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• pp.38-45
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• 2020

This study presents a systematic procedure for developing a short-term prediction deep learning model of rebar price using bidirectional LSTM, Random Search, data combination, Dropout. In general, users intuitively determine these values, making it time-consuming and repetitive attempts to explore results with good predictive performance, and the results found by these attempts cannot be guaranteed to be excellent. With the proposed approach presented in this study, the average accuracy of short-term price forecasts is approximately 98.32%. In addition, this approach could be used as basic data to produce good predictive results in a study that predicts prices with time series data based on statistics, including building materials other than rebars.

• Journal of the Korea institute for structural maintenance and inspection
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• v.23 no.6
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• pp.99-104
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• 2019

In the present study is focused on the evaluation of the shrinkage characteristics of mix proportion using viscosity agent for printing. Also, another purpose is to compare the shrinkage properties of the mold cast specimen with the additive manufactured specimen using 3D printing techniques. Viscosity agent makes the shrinkage was reduced by an average of 25% (as of 56 days) compared to the reference mix. The effects of reduced shrinkage were also founded, with a reduction of about 15% (as of 28 days).As a result of evaluating the shrinkage using the additive manufactured specimen and the mold cast specimen prepared by the printing mix, the shrinkage of the additive manufactured specimen was reduced by about 25% (based on 28 days). Based on the results of this study, it is possible to predict the shrinkage rate and the occurrence of cracks due to shrinkage on the printing of cement-based composite materials using 3D printing.

• Journal of the Korean Society for Railway
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• v.11 no.2
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• pp.158-164
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• 2008

Abstract Infiltration of rainfall that may lead to reduce resistance force due to reduction of matric suction and to increase driving force due to increase of self weight makes the slope fail. There are many specifications to make slope stable based on factor of safety. Although result of slope stability analysis satisfy the specifications, slope failures triggered by rainfall are frequently occurred in reality because slope stability analysis cannot consider uncertainty of each soil properties. This is why conventional analysis has limitation and development of alternative method is needed. So it is suggested to adopt the reliability analysis rather than design based on factor of safety into designing safer structure. Through the evaluation of handicaps for the factor of safety based design, calculation of soil properties by site investigation, and reliability analysis considering distribution of each soil properties, distribution of failure probability in railway slope is obtained. Then, Risk assessment of slopes in Korean railway is executed from the results. Damage loss and incoming loss are considered as the loss. Using these results, it is possible to make proper countermeasure or efficient maintenance.

• Journal of the Korean Society for information Management
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• v.23 no.1 s.59
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• pp.83-98
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• 2006

This study proposes a template-based method of automatic summarization of multiple news articles using the semantic categories of sentences. First, the semantic categories for core information to be included in a summary are identified from training set of documents and their summaries. Then, cue words for each slot of the template are selected for later classification of news sentences into relevant slots. When a news article is input, its event/accident category is identified, and key sentences are extracted from the news article and filled in the relevant slots. The template filled with simple sentences rather than original long sentences is used to generate a summary for an event/accident. In the user evaluation of the generated summaries, the results showed the 54.l% recall ratio and the 58.l% precision ratio in essential information extraction and 11.6% redundancy ratio.