• Publications of The Korean Astronomical Society
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• v.32 no.1
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• pp.313-315
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• 2017

We present physical properties of $24{\mu}m$ galaxies detected by AKARI and Spitzer and their evolution between redshifts 0.4 < z < 2. Using multi-wavelength data from X-ray to radio observations in NEP Deep Field (for AKARI) and Subaru/XMM-Newton Deep Field (for Spitzer), we derive photometric redshift, stellar mass, star-formation rate (SFR), dust extinction magnitude and rest-frame luminosities/colors of the $24{\mu}m$ galaxies from photometric SED fitting. We infer the SFRs from rest-frame ultraviolet luminosity and total infrared luminosity calibrated against Herschel photometric data. For both survey fields, we obtain complete samples with stellar mass of > $10^{10}M_{\odot}$ and SFR of > $30M_{\odot}/yr$ up to z = 2. We find that specific SFRs evolves with redshift at all stellar masses in NON-power-law galaxies (non-PLGs) as star-formation dominant luminous infrared galaxies (LIRGs). The correlations between specific SFR and stellar mass in the Spitzer and AKARI galaxy samples are well consistent with trends of the main sequence galaxies. We also discuss nature of PLGs and their evolution.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.9
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• pp.4386-4404
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• 2016

Most existing salient object detection algorithms commonly employed segmentation techniques to eliminate background noise and reduce computation by treating each segment as a processing unit. However, individual small segments provide little information about global contents. Such schemes have limited capability on modeling global perceptual phenomena. In this paper, a novel salient object detection algorithm is proposed based on region merging. An adaptive-based merging scheme is developed to reassemble regions based on their color dissimilarities. The merging strategy can be described as that a region R is merged with its adjacent region Q if Q has the lowest dissimilarity with Q among all Q's adjacent regions. To guide the merging process, superpixels that located at the boundary of the image are treated as the seeds. However, it is possible for a boundary in the input image to be occupied by the foreground object. To avoid this case, we optimize the boundary influences by locating and eliminating erroneous boundaries before the region merging. We show that even though three simple region saliency measurements are adopted for each region, encouraging performance can be obtained. Experiments on four benchmark datasets including MSRA-B, SOD, SED and iCoSeg show the proposed method results in uniform object enhancement and achieve state-of-the-art performance by comparing with nine existing methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.2
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• pp.676-692
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• 2018

Saliency detection in neurobiology is a vehement research during the last few years, several cognitive and interactive systems are designed to simulate saliency model (an attentional mechanism, which focuses on the worthiest part in the image). In this paper, a bottom up saliency detection model is proposed by taking into account the color and luminance frequency features of RGB, CIE $L^*a^*b^*$ color space of the image. We employ low-level features of image and apply band pass filter to estimate and highlight salient region. We compute the likelihood probability by applying Bayesian framework at pixels. Experiments on two publically available datasets (MSRA and SED2) show that our saliency model performs better as compared to the ten state of the art algorithms by achieving higher precision, better recall and F-Measure.

• Korean Journal of Soil Science and Fertilizer
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• v.49 no.1
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• pp.66-74
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• 2016

Environmental pollution from abandoned metal mines has been awarded as serious problem and many techniques have been applied to remediate pollutants. Main objective of this research was to evaluate efficiency of heavy metal sorption capacity of spent mushroom media (SMM) in aqueous and soil matrix. Laboratory batch experiment was conducted and 4 different heavy metals (Cd, Pb, Cu, Zn) were evaluated. In aqueous phase, all 4 heavy metals showed high reduction efficiency ranged from 60-99% and Pb showed the highest sorption efficiency. In case of soil phase, much lower sorption efficiency was observed compared to aqueous phase. The highest reduction efficiency was observed in Cd (average of 38%). With scanning electron microscopy energy dispersive detector (SED-EDS) analysis, we confirmed sorption of heavy metals at the surface of SMM. Overall, SMM can be used as sorption materials for heavy metals in both aqueous and soil matrix and more research should be conducted to increase sorption efficiency of SMM in soil.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1621-1625
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• 2006

하천은 여러 하천의 연결망으로 구성되어 있으며, 연결부는 절점으로 이루어져 있고, 이 절점은 하천이 합류하는 곳으로서 하천의 시스템을 구성하는 가장 중요한 요소이다. 최근에 친자연 하천 복원 등의 많은 사업을 하고 있음에도 불구하고 이에 대한 검토가 거의 이루어지지 않고 있으며, 이를 검토하고 이해하는 것이 하천을 복원하고 관리하는데 매우 중요하다. 본 연구는 본류와 지류의 하상경사 및 하상고가 다르고, 유사 유입조건이 다른 비평형 유입조건을 갖고 있으며, 하폭이 넓고 수심이 상대적으로 얕은 합류부에서 흐름 및 하상변동에 관하여 수치모의를 수행하여 그 특성을 파악하는데 그 목적이 있다. 적용 대상지역은 금강과 미호천의 합류부로서, 흐름 특성 및 하상변동을 모의하기 위하여 RMA-2와 SED2D를 이용하였다. 유량의 증가에 따라 흐름에 대한 유속이 증가하며, 전단층의 길이가 증가하고, 합류부의 우안의 정체수역에서 발생하는 와(vortex)의 크기도 증가하였다. 부유사의 농도는 실제 상황에 맞도록 비평형 유입조건을 사용하였으며, 미호천에서 유입되는 유사의 농도에 영향을 받아, 합류직후에도 유사의 농도가 높으며, 전단층을 경계로 하여 농도 띠가 하류로 유지되었으며, 합류 후에는 우안에서는 하상이 상승되었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.801-805
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• 2009

하천의 골재는 도로, 항만, 주택건설 등 다양한 건설재료로 이용되어 왔으며 급속한 산업화와 더불어 국가건설사업, 지방자치단체의 수익사업으로 인해 골재 수요가 급격히 증가해 왔다. 그러나 체계적인 조사 및 연구가 없이 무분별하게 행해진 하천준설은 하상저하, 하천의 불안정, 하상의 장갑화 등 물리적 영향뿐만 아니라 주변 하천의 식생, 저서생물의 서식처 등 수서생태계의 파괴, 하천정화능력 저하, 교각의 노출 등 생물적 경제적인 측면에서 악영향을 미치고 있다. 본 연구에서는 하천준설사업이 꾸준히 진행 중에 있는 낙동강 유역의 감천을 연구대상지역으로 선정하여, 2차원 수치모형인 RMA-2를 이용하여 준설에 따른 동수역학적 흐름특성의 변화를 모의하고, SED2D를 이용하여 단기하상변동을 예측하였다. 지형자료는 수치지도 및 실측자료를 토대로 하여 구축하였으며, 준설 전 후의 하상변동을 모의해 비교 분석한 결과, 하도중심에서의 흐름특성은 준설전에 비해 수위가 평균 0.85 m 저하되었고, 하상은 평균 0.56 m 저하되었다. 대상유역의 수위와 유속은 준설전에 비해 준설후에 안정적인 특성을 나타냈다. 또한, 준설전 후 전반적으로 하상상승이 발생하였으며 이는 상류에서의 유사유입량이 많아 퇴적이 많이 일어난 것으로 판단되며, 준설후는 준설전에 비해 하류에서의 퇴적량이 적게 나타났으며 이는 준설구간에서의 퇴적으로 인해 하류 유사이송이 적게 일어난 것으로 판단된다. 본 연구의 결과는 하천준설에 따른 하천환경 및 물리적 영향을 최소화하고, 교란하천의 복원 및 관리 등에도 활용될 수 있을 것이다.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1870-1874
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• 2009

96년, '98년, '99년 3차례에 걸쳐 임진강 유역과 경기북부 지역의 집중호우로 이 지역의 막대한 인명피해 및 재산피해가 발생하여 이에 대한 대책으로 한탄강홍수조절용 댐을 계획하였다. 한탄강 홍수조절댐은 초기방류를 목적으로 상용여수로를 월류부를 통한 방류가 아닌 댐 제체에 방류관(EL.55.0m)을 설치하여 방류하므로 댐지점에 퇴사되는 토사를 효율적으로 배제시켜주어야 한다. 또한 댐 상 하류의 생태단절을 감소시키기 위하여 댐체 저부에 생태통로가 계획, 홍수시 이를 통하여 배사가 원활하도록 배사관을 겸용하도록 하였다. 본 연구에서는 수리모형실험을 통하여 배사관으로 퇴사되는 토사가 원활하게 배출이 되는지를 검토하였으며, 배사실험을 위한 상류부 경계조건으로는 HEC-6모형 이용 댐상류 12km지점에서 댐지점까지의 퇴사량 및 댐지점 2km상류지역은SED-2D모형을 통하여 퇴사량을 산정하여 이를 비교하여 댐 직상류의 퇴사고와 퇴사량을 결정하여 적용하였다. 실험사례는 연평균 유하량, 200년 빈도 홍수량, 댐수위 EL.55.0m이하 방류시로 하였으며, 이에 따른 배사효과를 분석 배사관 설계의 적정성을 확보하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2002.05a
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• pp.3-16
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• 2002

This article describes some of the recent and on-going research developments of the author at Colorado State University. Advances in the field of sedimentation and river mechanics include basic research and computer modeling on several topics. Only a few selected topics are considered here: (1) analytical determination of velocity profiles, shear stress and sediment concentration profiles in smooth open channels; (2) experiments on bedload particle velocity in smooth and rough channels; (3) field measurements of sediment transport by size fractions in curved flumes. In terms of computer modeling, significant advances have been achieved in: (1) flashflood simulation with raster-based GIOS and radar precipitation data; and (2) physically-based computer modeling of sediment transport at the watershed scale with CASC2D-SED. Field applications, measurements and analysis of hydraulic geometry and sediment transport has been applied to: (1) gravel-bed transport measurements in a cobble-bed stream at Little Granite Creek, Wyoming; (2) sand and gravel transport by size fraction in the sharp meander bends of Fall River, Colorado; (3) changes in sand dune geometry and resistance to flow during major floods of the Rhine River in the Netherlands; (4) changes in hydraulic geometry of the Rio Grande downstream of Cochiti Dam, New Mexico; and (5) analysis of the influence of water temperature and the Coriolis force on flow velocity and sediment transport of the Lower Mississippi River in Louisiana. Recent developments also include two textbooks on "Erosion and Sedimentation" and "River Mechanics" by the author and state-of-the-art papers in the ASCE Journal of Hydraulic Engineering.

• Journal of Korean Society for Atmospheric Environment
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• v.18 no.1
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• pp.51-58
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• 2002

Destruction process of toluene using a wire-cylindrical BBD (Dielectric Barrier Discharge) reactor packed with catalysts was investigated to characterize the synergetic effects of non-thermal plasma and catalyst process. The catalysts used in the present study were ${\gamma}$-Al$_2$BO$_3$ and Pt/${\gamma}$-Al$_2$O$_3$. Under the numerous test conditions, specific energy density (SED (J/L)) and the conversion of toluene, defined as (1 -[C$_{f}$]/[C$_{i}$]), were measured. The test results showed that toluene decomposition efficiency followed the pseudo-first order in the case of plasma only process. The pseudo-first order process, however, was modified to pseudo-zeroth order reaction in the case of catalyst-assisted plasma process. This modification of the reaction order was verified based on a simple kinetic model proposed in the present study. Owing to the modification of reaction order, which resulted from the catalytic process, the specific energy to achieve the high removal efficiencies, i.e. 80~90%, was reduced significantly.y.y.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.1
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• pp.272-287
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• 2016

Recently, various and effective contrast based salient object detection models to focus on a single target have been proposed. However, there is a lack of research on detection of multiple objects, and also it is a more challenging task than single target process. In the multiple target problem, we are confronted by new difficulties caused by distinct difference between properties of objects. The characteristic of existing models depending on the global maximum distribution of data point would become a drawback for detection of multiple objects. In this paper, by analyzing limitations of the existing methods, we have devised three main processes to detect multiple salient objects. In the first stage, regional features are extracted from over-segmented regions. In the second stage, the regional features are categorized into homogeneous cluster using the mean-shift algorithm with the kernel function having various sizes. In the final stage, we compute saliency scores of the categorized regions using only spatial features without the contrast features, and then all scores are integrated for the final salient regions. In the experimental results, the scheme achieved superior detection accuracy for the SED2 and MSRA-ASD benchmarks with both a higher precision and better recall than state-of-the-art approaches. Especially, given multiple objects having different properties, our model significantly outperforms all existing models.