• Journal of Korea Society of Industrial Information Systems
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• v.12 no.1
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• pp.87-94
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• 2007

Many researchers have modeled complicated problems with distributed AI technologies in distributed environment. Especially, intelligent agent technology we often proposed among researchers as efficient method to solve the complicated problems because agent technology makes possibile to share different problem solving abilities among processors in distributed processing environment. In this paper, we propose multiagent system model to solve distributed scheduling problem. At this point we apple CSP techniques to the multiagent model as individual problem solving ability of member agents. Scheduling problem is divided into subproblems according to constraints by distributed resources, then each agent solves its subproblem using CSP solver in the proposed model. This method improves scheduling efficiency. For meeting scheduling problem of case study, we show CSP modeling process and suggest problem solving procedure by multiagent system model.

• Journal of the Korean GEO-environmental Society
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• v.14 no.3
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• pp.19-27
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• 2013

Recently, the natural and man-made slope collapses occur frequently because of sudden heavy rains. So, a variety of slope reinforcement methods have been developed and applied to failure slopes. Soil nailing method usage has been increased because of its workability and economic aspects. This method has been applied in combination with other slope stability methods. Soil nailing method is a kind of combinational structure of steel bar and cement grouting. This method uses skin friction between adjacent ground and cement grouting to stabilize the slope. In this study, End-expanded soil nailing method was developed. This method consists of steel bar and anchor body attached at the tip of the nail. During construction, the anchor body at steel bar tip is settled to the ground through the expanding action. In this study, field pull-out tests were performed for un-grouting soil nailing and grouting soil nailing. From the test results, a wedge force of End-expanded soil nailing method was analyzed. And the behavior characteristics of End-expanded soil nailing were studied.

• Korean Journal of Remote Sensing
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• v.37 no.6_2
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• pp.1803-1818
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• 2021

As the frequency of drought increases due to climate change, it is very important to have a monitoring system that can accurately determine the situation of widespread drought. However, while ground-based meteorological data has limitations in identifying all the complex droughts in Korea, satellite remote sensing data can be effectively used to identify the spatial characteristics of drought in a wide range of regions and to detect drought. This study attempted to analyze the possibility of using remote sensing data for drought identification in South Korea. In order to monitor various aspects of drought, remote sensing and ground observation data of precipitation and potential evapotranspiration, which are major variables affecting drought, were collected. The evaluation of the applicability of remote sensing data was conducted focusing on the comparison with the observation data. First, to evaluate the applicability and accuracy of remote sensing data, the correlations with observation data were analyzed, and drought indices of various aspects were calculated using precipitation and potential evapotranspiration for meteorological drought monitoring. Then, to evaluate the drought monitoring ability of remote sensing data, the drought reproducibility of the past was confirmed using the drought index. Finally, a high-resolution drought map using remote sensing data was prepared to evaluate the possibility of using remote sensing data for actual drought in South Korea. Through the application of remote sensing data, it was judged that it would be possible to identify and understand various drought conditions occurring in all regions of South Korea, including unmeasured watersheds in the future.

• Journal of the Korea Concrete Institute
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• v.21 no.4
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• pp.409-417
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• 2009

In this study, autogenous crack healing and artificial crack healing using electrochemical electro deposition method were conducted to compare in the aspects of corrosion monitoring. Furthermore, the analysis of impressed voltage characteristics, galvanic current and linear polarization resistance comparison, and photo image processing technique were performed for quantitative comparisons of healing ratio. As a result, it was found that, in view of impressed voltage of artificial crack healing, the measured voltage was increased as time goes by. From the galvanic test results of artificial crack healing, the current vs. potential distribution value were formed widely in comparison with autogenous crack healing. In this point, it was shown that artificial crack healing has more eleatic resistance capacity than autogenous crack healing technique. Finally, it was found that artificial crack healing was 1.63 times higher than autogenous healing in view of crack healing ratio.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.11
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• pp.455-464
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• 2022

There are two unique characteristics of the datasets from a manufacturing process. They are the severe class imbalance and lots of Out-of-Distribution samples. Some good strategies such as the oversampling over the minority class, and the down-sampling over the majority class, are well known to handle the class imbalance. In addition, SMOTE has been chosen to address the issue recently. But, Out-of-Distribution samples have been studied just with neural networks. It seems to be hardly shown that Out-of-Distribution detection is applied to the predictive model using conventional machine learning algorithms such as SVM, Random Forest and KNN. It is known that conventional machine learning algorithms are much better than neural networks in prediction performance, because neural networks are vulnerable to over-fitting and requires much bigger dataset than conventional machine learning algorithms does. So, we suggests a new approach to utilize Out-of-Distribution detection based on SVM algorithm. In addition to that, bagging technique will be adopted to improve the precision of the model.

• Journal of the Korean Geotechnical Society
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• v.40 no.1
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• pp.39-46
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• 2024

Artificial recharge systems have been employed to solve drought problems due to global climate change. Despite the increased usage, the applications of artificial recharge systems are limited by clogging problems, which reduce recharge rates. In this study, the soil texture and mineral characteristics of alluvial soil in a planned artificial recharge system area were investigated to evaluate the possibility of chemical clogging during the injection of stream water. The primary minerals contained in the clastic particles are quartz, K-feldspar, plagioclase, and biotite, and the secondary minerals filling the pore space are illite, kaolinite and Fe-oxide. The fact that carbonate and sulfate are observed as secondary minerals in the pore space suggests that chemical clogging has not occurred by the interaction between the groundwater and surface water in the study area. Thus, monitoring soil properties, e.g., the formation and growth of secondary minerals in the pore space, is required to investigate the possibility of chemical clogging in artificial recharge systems.

• Ecology and Resilient Infrastructure
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• v.3 no.4
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• pp.221-230
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• 2016

Multi-functional floating wetland island (mFWI) was developed in order to prevent algal bloom and to improve water quality through several unit purification processes. A test bed was applied in the stagnant watershed in an urban area, from the summer to the winter season. For the advanced treatment, an artificial phosphorus adsorption/filtration medium was applied with micro-bubble generation, as well as water plants for nutrient removal. It appeared that the efficiency of chemical oxygen demand (COD) and total phosphorus (T-P) removal was higher in the warmer season (40.9%, 45.7%) than in the winter (15.9%, 20.0%), and the removal performance (suspended solid, chlorophyll a) in each process differs according to seasonal variation; micro-bubble performed better (33.1%, 39.2%) in the summer, and the P adsorption/filtration and water plants performed better (76.5%, 59.5%) in the winter season. From the results, it was understood that the mFWI performance was dependent upon the pollutant loads in different seasons and unit processes, and thus it requires continuous monitoring under various conditions to evaluate the functions. In addition, micro-bubbles helped prevent the formation of anaerobic zones in the lower part of the floating wetland. This resulted in the water circulation to form a new healthy aquatic ecosystem in the surrounding environment, which confirmed the positive influence of mFWI.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1965-1970
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• 2009

본 연구에서는 하천 물리모니터링 결과를 바탕으로 청미천 유역의 본류에 대한 하천 수변환경을 평가하였다. 평가 지침은 수생태 건강성 평가에서 제시된 지침을 따랐다. 평가 결과, 죽산천과 청미천 합류부 지점은 2등급으로 생태서식 여건이 좋은 편으로 나타났다. 모래로 된 교호사주가 좌우안 넓은 지역에 걸쳐 형성되어 있고, 하중도 및 식생 사주도가 형성되어 식생활착이 왕성하며, 주로 달뿌리풀 위주의 군락이 형성되어 있었다. 특히 합류점 상류 본천은 자연하천의 모습을 간직하고 있었으며, 양안에는 식생과 수목이 왕성하게 자연적으로 형성되어 있었다. 화봉천과 청미천 합류부 지점에서의 수변환경 모니터링 조사 결과, 하도는 정비되어 있으나 저수로는 사행을 유지하고 있으며, 제외지의 토지이용 상태와 하천 복개율 및 횡방향 인공구조물 상태는 비교적 바람직한 것으로 나타났다. 하도 내 저수로는 호안공이 설치되지 않고 흐름의 다양성 자연스럽게 형성되어 있다. 이 지점은 하천환경이 비교적 잘 보전되어 있어, 지속적인 보전을 위한 유지관리가 요구된다. 특히 죽산천에 축산 농가 및 시가지의 확장으로 오염원이 증가되고 이들이 하천으로 유입될 우려가 있다. 생태환경을 보전하기 위한 비점오염원 유입 차단 및 수질개선 대책이 우선시되어야 할 것으로 판단되었다.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.8 no.3
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• pp.197-203
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• 2014

In this paper, we develop an attachable head of bed(HOB) monitoring system, which can prevent ventilator associated pneumonia(VAP), and analyze the performance of the developed HOB monitoring system. The main purpose of the HOB monitoring system is to support visible HOB display for keeping patients' position effectively and collect data for analysis of the relation between HOB elevation and patients' symptom. The HOB monitoring system is developed in attached-type and uses an FIR filter with heuristic logic to remove the unwanted noise. The optical encoder is used for the performance analysis of the developed HOB monitoring system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.3
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• pp.553-558
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• 1999

The ECG signal is very important information for diagnosis of patient and a cardiac disorder That signal is hard to filter the noise because that is mixed with a lot of noise, and the error of the filtering will distort the ECG signal. The existing method for the filtering of the ECG signal has structure that has many steps for filtering, so that structure is complex and the processing speed is slow. For the improvement of that problem, we propose the method of filtering that has simple structure using the RBF neural networks and have good results.