• Korean Journal of Construction Engineering and Management
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• v.14 no.3
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• pp.12-21
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• 2013

Total Project Cost Management System(TPCMS) was introduced with the purpose of increasing the efficiency of cost control for public construction project in 1994. In this paper, general perception of participants of the public construction project on the TPCMS was examined, and the problems in implementing the TPCMS was figured out through expert interviews and survey. Then better ways to implement the system were drawn based on the problems. To effectively manage the cost of public construction project, basically project cost should be estimated accurately in planning stage and managed based on it to have a project complete within the budget. In addition, the cost need to be managed in more systematic ways in terms of data collection and analysis, and the autonomy in managing the project cost given to the project owner needs to be expanded. Most of all, proper budget should be provided to prevent a project from delay through setting the priority of projects and proper budget allocation based on the priority.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.60-60
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• 2019

OECD 발표에 의하면 물산업 관련 인프라 투자 전망은 전세계 GDP 대비 2010~2020년 약 1.01%에서 2020~2030년 약 1.03%로 확대될 전망으로 다른 통신, 전력, 철도 인프라 투자수요보다 많을 것으로 전망하고 있다(파이넨셜 뉴스, 2013.3.21.). 우리나라는 2005년 베트남 홍강종합개발사업을 시작으로 2015년 기준으로 세계 35개국에 진출하고 있다. 그러나 대부분의 물 산업 진출 대상 국가는 미계측 유역이 많고 지상에서 계측된 수문 자료가 부족한 실정이다. Namgung and Lee(2014)에 의하면 네팔의 수력발전소 건설에 관측된 강우량 자료가 없어 발전소 하류 10km 지점의 유하량 자료를 이용하여 자료의 정확도 검증을 대신하여 적용한 바 있다. 이와 같이 계측자료가 없거나 부족한 지역에 대하여 기상 위성을 이용하여 추정된 강수량 자료가 해당 지역의 강수 특성을 파악하는데 중요한 자료로 이용될 수 있다. 글로벌 위성 기반의 강수량 관측에 대한 역사는 1979년에 IR방법에 의해 위성으로부터 강우자료를 유도하는 개념이 도입된 이후 1987년 다중 채널의 마이크로파(MW) 복사계를 이용한 방법, 이후 두 IR과 MW를 혼합한 방법에서, 1997년 TRMM위성의 PR(Precpipitation Radar)의 레이더를 이용하는 방법, 그리고 2014년 GPM 핵심 위성(GPM Core Observatory)에 탑재된 Dual PR에 의한 방법으로 위성강수의 정확도를 매우 높여가고 있다. 본 연구는 대표적인 위성강수인 IMERG(Integrated MultisatellitE Retrievals for GPM)의 활용성을 높이기 위해 QGIS 기반의 위성강수 전처리 모듈을 개발하는 것을 목적으로 하고 있다. 위성강수를 활용하기 위해서는 위성강수의 정확도 평가가 선행되어야 한다. 본 연구를 통해 2017년 7월 중부지방 및 충청도 지방에 내린 강수자료를 비교한 결과 상관계수가 약 0.7정도로 상관성이 높은 것으로 분석되었고, 2018년 8월 9호 태풍 솔릭(Solik)에 대한 1시간의 시간해상도 분석 결과 상관계수 0.624로 위성강수의 활용성이 있음을 입증하였다. IMERG 위성강수의 활용성을 높이기 위하여 HDF5 포맷의 원시자료를 활용이 용이한 Tiff 로 변환하는 기능에서부터 특정범위 및 특정지점 추출 기능, Resampling 기능 등을 포함하는 전처리 모듈을 개발하였다.

• Resources Recycling
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• v.27 no.1
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• pp.84-91
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• 2018

In this study, a novel soft information based most probable classification scheme is proposed for sorting recyclable metal alloys with laser induced breakdown spectroscopy (LIBS). Regression analysis with LIBS captured spectrums for estimating concentrations of common elements can be efficient for classifying unknown arbitrary metal alloys, even when that particular alloy is not included for training. Therefore, partial least square regression (PLSR) is employed in the proposed scheme, where spectrums of the certified reference materials (CRMs) are used for training. With the PLSR model, the concentrations of the test spectrum are estimated independently and are compared to those of CRMs for finding out the most probable class. Then, joint soft information can be obtained by assuming multi-variate normal (MVN) distribution, which enables to account the probability measure or a prior information and improves classification performance. For evaluating the proposed schemes, MVN soft information is evaluated based on PLSR of LIBS captured spectrums of 9 metal CRMs, and tested for classifying unknown metal alloys. Furthermore, the likelihood is evaluated with the radar chart to effectively visualize and search the most probable class among the candidates. By the leave-one-out cross validation tests, the proposed scheme is not only showing improved classification accuracies but also helpful for adaptive post-processing to correct the mis-classifications.

• Resources Recycling
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• v.27 no.1
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• pp.31-37
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• 2018

To enhance the recycling rate of used metal resources, it is strongly desired to develop a metal sorting system that can automatically identify metal type from mixed metal scraps and sort them separately. Laser-induced breakdown spectroscopy(LIBS) is a technique that enables real time classification of different metals based on multi-elemental and in-air analysis. In this work, we report the results of LIBS elemental analysis of field scrap samples acquired from a recycling company. By applying multivariate analysis, it was found that the LIBS signals of five different metals could be perfectly classified if surface contamination was removed. The classification accuracy degraded for LIBS signals including contaminant emission, which however could be overcome by performing the multivariate analysis using properly selected emission lines of higher correlation only. The significant improvement in classification accuracy and process speed by the selection of proper emission lines demonstrated the feasibility of LIBS technique as an industrial tool for metal scrap sorting.

• Journal of Advanced Marine Engineering and Technology
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• v.38 no.6
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• pp.688-697
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• 2014

In this study, electrode bonding technology needed for high density of rechargeable battery is studied, which is recently researched for electric vehicle, the small leisure vessel. For the alternative overcoming the limit of stacking amount able to be stacked by conventional ultrasonic welding, the low temperature bonding method, eligible for minimum of degeneration of chemical activator on the electrode surface which is generated by thermal effect as well as the increase of conductivity and tension strength caused by electrode bonding using filler metal, not using conventional direct heating on the electrode material method, is studied. Specifically to say, recently used more generally the ultrasonic welding and spot welding method are not usable for satisfying stable electric conductivity and bonding strength when much electrode is stacking bonded. If the electrical power is unreasonably increased for the welding, due to the effect of welding temperature, deformation of electrode and activating material degeneration are caused, and after the last packaging, decline of electrical output and generating heat cause to reduce stability of battery. Therefore, in this study, induction heating system bonding method using high frequency heating and differentiated electrode method using filler metal pre-treatment of hot dipping are introduced.

• Resources Recycling
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• v.26 no.6
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• pp.73-83
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• 2017

Used small household appliances have a wide variety of product types and component materials, and contain high percentage of black plastics. However, they are not being recycled efficiently as conventional sensors such as near-infrared ray (NIR), etc. are not able to detect black plastic by types. In the present study, an automatic sorting system was developed based on laser-induced breakdown spectroscopy (LIBS) to promote the recycling of waste plastics. The system we developed mainly consists of sample feeder, automatic position recognition system, LIBS device, separator and control unit. By applying laser pulse on the target sample, characteristic spectral data can be obtained and analyzed by using CCD detectors. The obtained data was then treated by using a classifier, which was developed based on artificial intelligent algorithm. The separation tests on waste plastics also were carried out by using a lab-scale automatic sorting system and the test results will be discussed. The classification rate of the radial basis neural network (RBFNNs) classifier developed in this study was about > 97%. The recognition rate of the black plastic by types with the automatic sorting system was more than 94.0% and the sorting efficiency was more than 80.0%. Automatic sorting system based on LIBS technology is in its infant stage and it has a high potential for utilization in and outside Korea due to its excellent economic efficiency.

• Resources Recycling
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• v.29 no.4
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• pp.58-66
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• 2020

Carbonation (step I) and cryo-crystallization (crystallization at low temperature) (step II) were performed to synthesize Na compounds from sodium concentrated solution. In the step 1, the solubility and pH of carbon dioxide (95 wt.%) affecting carbonation could be changed by the variation of reaction temperature. The step II was performed at 2 ℃ after carbonation. The injection of carbon dioxide was carried out twice for the stable production and the saturated solubility of carbonate ions in solution. Firstly, we tried to inject CO₂ for controlling the solubility of CO₂ by changing the reaction temperature from 35 ℃ to 10 ℃, and the second injection was aimed at 10 ℃ for inducing nucleation of Na compound through carbonation after NaCl solution addition. In the cryo-crystallization step, the crystal growth of Na compounds could be induced by slowing the carbonation rate through reaction temperature change from 10 ℃ to 2 ℃. In this study, the effect on NaOH concentration was examined and the purity of Na compound was increased when 2M NaOH was used. In addition, the synthesized Na compounds were mostly rod-shaped and consisted of sodium carbonate or sodium carbonate with monohydrate.

• The Journal of the Korea Contents Association
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• v.9 no.1
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• pp.159-166
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• 2009

In this paper, we analyse the noise robustness of MLPs(Multilayer perceptrons) through deriving the probability density function(p.d.f.) of output nodes with additive input noises and the misclassification ratio with the integral form of the p.d.f. functions. Also, we propose linear preprocessing methods to improve the noise robustness. As a preprocessing stage of MLPs, we consider ICA(independent component analysis) and PCA(principle component analysis). After analyzing the noise reduction effect using PCA or ICA in the viewpoints of SNR(Singal-to-Noise Ratio), we verify the preprocessing effects through the simulations of handwritten-digit recognition problems.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.363-364
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• 2015

본 연구는 모바일 쇼핑의 급증과 더불어 성장하고 있는 O2O(Online-to-Offline) 시장에서 소비자가 추구하는 쇼핑가치(shopping values)를 충족시켜줄 수 있는 웹사이트를 구축하기 위한 요인들을 탐색함으로써 이들 쇼핑가치와 웹사이트 성공요인 간 관계가 향후 소비자의 재구매의도와 같은 고객충성도에 미치는 영향을 고찰하는 데에 그 목적이 있다. O2O 시장에서는 온라인 웹사이트로 소비자를 유도하여 필요한 정보를 제공한 후 관련 제품과 서비스를 수령할 때에는 다시 오프라인으로 유도함으로써 잠재 고객을 확대하고 기존 소비자의 구매를 확대시키고자 한다. 따라서 소비자가 제품과 서비스를 접하는 첫 관문인 웹사이트 설계는 중요한 고려대상이다. 기존 B2C(Business-to-Consumer) 환경에서는 온라인과 오프라인이 각각 독립적인 채널로 운영된 데에 반해 O2O 환경에서는 온라인과 오프라인의 통합으로 시너지 효과를 추구하기 때문에 O2O 채널을 이용하는 소비자가 추구하는 쇼핑가치는 기존 B2C와 다르며 본 연구에서는 새로운 O2O 환경에서 이러한 소비자의 쇼핑가치를 충족시켜줄 수 있는 성공적인 웹사이트 요인을 탐색하고자 한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.2
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• pp.159-164
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• 2010

This paper focuses on the stability analysis and stabilization for networked control system with neutral type of time-delay. By utilizing the delay partitioning idea, new stability criteria are proposed in terms of linear matrix inequalities(LMIs). These conditions are developed based on the Lyapunov-Krasovskii functionals. Based on the derived criteria, a sufficient condition for te solvability of this problem is obtained in terms of linear matrix inequality without decomposing the original system matrices. Also, it is shown that the proposed controller design method is general for networked control systems. Finally, illustrative examples are presented to show the applicability of the proposed method.