• Korean Journal of Construction Engineering and Management
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• v.21 no.2
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• pp.98-106
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• 2020

Conventional method of PHC pile head cutting work has several challenges with regard to safety, convenience, productivity, and quality. To address such problems, a prototype of the all-in-one attachment-based PHC pile cutting robot is developed(Yeom, 2018). The Primary objective of this study are to develop a final prototype of all-in-one attachment-based PHC pile cutting robot and to analyze technical feasibility and field applicability of final prototype. According to the technical feasibility and field applicability analysis result, at least 74.2% of the respondents are selected positive answer about technical feasibility of the final prototype, at least 66.6% of the respondents are selected positive answer about field applicability of the final prototype. It is expected that when deployed onsite, the final prototype can not only increase the practical use but also improvement the work safety and productivity of work at the PHC pile head cutting job site.

• Korean Journal of Construction Engineering and Management
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• v.21 no.4
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• pp.82-89
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• 2020

Article 64 of the Enforcement Decree of the National Contract Act The requirement of the pre-amendment statute related to the adjustment of the contract price was 5% or more of the price fluctuation rate from the date of the contract. However, the meeting requirement was changed from 5% or more to 3% or more from the date of signing of the Presidential Decree No. 19035 to 2005. 9. 8. The method of adjusting the contract amount was also changed to determine the contractor's desired adjustment method at the time of contract. Alleviating these requirements and revising the empowerment of contract partners is intended to prevent difficulties in achieving smooth objectives by applying to public construction contractors without unfairly benefiting or unfavorable to contract partners. Even if the standards are relaxed and the rights are secured as described above, if the existing provisions for the adjustment of price fluctuation are applied, unlike the original purpose of the government system, the Korea Bank's price economic statistics classification method and the contract construction classification criteria applied in public construction work Due to the inconsistency, it can be seen that the amount of adjustment for price fluctuation by construction type is excessive and underestimated. Therefore, the purpose of this study is to analyze problems through cases and to make appropriate construction cost adjustment through improvement measures.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.709-709
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• 2012

보는 하천을 횡단하는 대표적인 수공구조물로써 수위를 유지하여 각종 용수의 취수 기능 및 주운 기능을 가지고 있다. 그러나 보를 설치할 경우 상류부의 유속이 점차 감소하여 유사 퇴적이 일어나며, 흐름 정체에 따른 수질 저하 및 수위 상승의 원인을 제공한다. 이러한 보의 단점을 개선하기 위해 래버린스 보에 대한 다양한 연구가 진행되고 있다. Hay 등(1970) 연구에 따르면 래버린스 보의 월류능력은 동일 수두 조건에서 선형 보보다 높은 특성을 가진다. 또한 Tsang(2000) 연구에 따르면 큰 유량 및 낮은 월류고 조건에서 폭기 효율이 뛰어난 것으로 나타났다. 박호상(2009) 연구에 따르면 경사형 마루 래버린스 보가 일반형 래버린스 보의 수심유지 범위보다 더 크며, 산소전달효율도 더 높은 것으로 나타났다. 그러나 기존 보에서 발생되는 유사퇴적 및 흐름정체 등의 문제는 여전히 존재하였다. 이와 관련하여 본 연구에서는 유사의 연속성을 유지하고 흐름의 정체를 해소하는 퇴적방지 구조를 구비한 래버린스 보(현대건설, 2011)를 제안하였다(그림 1, 2 참조). 본 연구에서는 퇴적방지 구조를 구비한 래버린스 보의 홍수안정성 및 유사연속성에 대한 효과를 3차원 수치모형(FLOW-3D)을 통해 분석하였다. 수치모의에 사용된 수로 연장은 9.25 m이고 폭은 0.82 m이며, 상류의 수심변화에 따라 수치모의를 수행하였다. 수치모의 결과 에너지 감세 효과와 상류의 수심을 유지하는 효과가 나타났다. 또한 이격된 벽체로 흐르는 유속에 의해 래버린스 보 내의 마찰속도가 증가하였다. 이러한 결과, 퇴적방지 구조를 구비한 래버린스 보가 홍수 안정성 및 유사배제에 효과가 있는 기술로써 가능성이 있는 것으로 판단된다. 향후, 수리모형실험을 통한 연구가 수행된다면 수리특성에 관한 기초자료를 통해 설계 인자가 도출될 수 있을 것이며 나아가 기술의 상용화에도 크게 기여할 수 있을 것이다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.479-479
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• 2022

섬진강 주요호수 4개 호수에 대하여 20년간의 수질자료를 수집하여 한국형 부영양화지수(TSIko)를 산정하고 부영양화정도와 경향성을 분석하였다. 호수별 20년간 평균 수질농도 분석 결과, 4개 호수 중 BOD, COD, T-P, Chl-a, TOC의 5개 항목에서 보성호가 가장 높은 농도를 보이고, T-N도 두 번째로 높은 농도를 나타냈으며, 월별·계절별 분석 결과, 전체 수질항목의 수질은 대체적으로 여름(6-8월)에 가장 높았으나, 동복호의 Chl-a 항목의 경우 봄(3-5월)과 가을(9-11월)에 가장 높았다. 호소별 수질자료를 통한 경향분석 결과, 옥정호(섬진강호)는 BOD, TOC, 주암호는 COD, TOC, 보성호는 COD, TOC, Chl-a, 동복호는 TOC 항목이 증가하는 경향을 보이며, 주로 유기물 항목들이 증가하는 경향을 나타내었고, 각 호소의 수질항목별 상관관계 분석 결과, 보성호의 COD와 TOC 항목 사이의 상관계수가 0.85로 높은 상관관계를 나타냈고, 그 외에는 보통 또는 약한 상관관계 또는 상관관계가 거의 없는 것으로 나타났다. 최근 20년간의 연도별, 월별, 계절별 수질자료를 바탕으로 섬진강 내 주요호수 4개 호수의TSIko 평가 결과, 대부분의 호수가 중영양 상태를 나타내었고, 보성호의 경우, 2001년, 2004년, 2005년, 2015년~2020년에 각각 부영양화지수가 51.31, 56.94, 54.59, 52.77, 51.08, 57.95, 58.10, 50.82, 50.77로 부영양 상태로 평가되었다. 특히 보성호의 경우, TSIko 결과를 기반으로 한 경향분석 결과, 경향성이 없거나 감소하는 다른 호수들과는 달리 증가하는 경향성을 보이고, 항목별 경향성 분석 결과 COD, TOC, Chl-a이 증가하는 경향으로 나타났으며, 유기물인 COD와 TOC 항목의 경우 높은 상관관계를 보이고 있으므로, 추후 섬진강 유역의 물 수요 문제 해소에 대한 중요한 수자원에 대한 모니터링 및 부영양화 해소와 수질개선방안에 대한 연구가 필요할 것으로 판단된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.142-149
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• 2019

In this study, the past erosion history and current status in the CHUNG-UI beach of Eulwang-dong, Jung-gu, Incheon-Si, South Korea were investigated and analyzed the wave with wave-induced current to investigate the causes of coastal erosion. As a result, the significant wave height ($H_{1/3}$) was in the range of 0.07~1.57 m and the mean value was 0.21 m. The maximum wave height ($H_{max}$) was in the range of 0.02-4.76m and the mean value was 0.27m. The vertical wave height and cycles were estimated through numerical model experiments of wave transformation. The 50-year frequency design wave height ranged from 0.82m to 3.75m. As a result of the experiment of wave-induced current, wave-induced current in the CHUNG-UI beach was decreased after the installation of the Detached breakwater and the Jetty. On the other hand, when the crest elevation was increased up to 5 m, there was no significant change, but when the crest elevation was increased to 8m, strong wave-induced current occurred around the submerged breakwaters due to lowered depth of water. In addition, the main erosion of the CHUNG-UI beach is due to the intensive invasion of the wave characteristics coming from the outer sea into the white sandy beach. The deformation of the wave centered on the front of the sandy beach caused additional longshore currents flowing parallel to the sandy beach and rip currents in the transverse direction, thus confirming that the longshore sediment was moved out of the front and out of the sea. The results of this study can be used as preliminary data for the recovery of the sand and the selection of efficient erosion prevention facilities.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.3
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• pp.74-82
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• 2024

In this study, feature point detection and displacement measurement performance depending on feature extraction algorithms were compared and analyzed according to environmental changes and target types in the feature point-based displacement measurement algorithm. A three-story frame structure was designed for performance evaluation, and the displacement response of the structure was digitized into FHD (1920×1080) resolution. For performance analysis, the initial measurement distance was set to 10m, and increased up to 40m with an increment of 10m. During the experiments, illuminance was fixed to 450lux or 120lux. The artificial and natural targets mounted on the structure were set as regions of interest and used for feature point detection. Various feature detection algorithms were implemented for performance comparisons. As a result of the feature point detection performance analysis, the Shi-Tomasi corner and KAZE algorithm were found that they were robust to the target type, illuminance change, and increase in measurement distance. The displacement measurement accuracy using those two algorithms was also the highest. However, when using natural targets, the displacement measurement accuracy is lower than that of artificial targets. This indicated the limitation in extracting feature points as the resolution of the natural target decreased as the measurement distance increased.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.2
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• pp.77-82
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• 2023

The Ministry of Agriculture, Food and Rural Affairs established the FarmMap, an digital map of agricultural land. In this study, using deep learning, we suggest the application of farm map reading to farmland such as paddy fields, fields, ginseng, fruit trees, facilities, and uncultivated land. The farm map is used as spatial information for planting status and drone operation by digitizing agricultural land in the real world using aerial and satellite images. A reading manual has been prepared and updated every year by demarcating the boundaries of agricultural land and reading the attributes. Human reading of agricultural land differs depending on reading ability and experience, and reading errors are difficult to verify in reality because of budget limitations. The farmmap has location information and class information of the corresponding object in the image of 5 types of farmland properties, so the suitable AI technique was tested with ResNet50, an instance segmentation model. The results of attribute reading of agricultural land using deep learning and attribute reading by humans were compared. If technology is developed by focusing on attribute reading that shows different results in the future, it is expected that it will play a big role in reducing attribute errors and improving the accuracy of digital map of agricultural land.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.4
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• pp.20-36
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• 2022

This study aims to provide basic data for high-quality street tree management by setting reasonable management items and appropriate unit prices by reviewing the adequacy of current street tree management. Currently, street tree management items, except for street tree pruning, use general landscape tree quantity per unit for the street tree management quantity per unit. KEPCO (Korea Electric Power Corporation) applied pruning items from standard electric production infrastructure and carried out the activities at an average unit price of 51% lower for heavy pruning and 39% lower for light pruning than the standard estimate. This was judged to be a level that could not maintain or increase the quality of street tree management. It was determined that an appropriate standard unit price for street tree management was necessary. To improve the quantity per unit for the proper management of street trees, it was necessary to review costs in the field. However, due to the absence of data on actual construction costs in the domestic landscape field, detailed items of the US RSMeans Building Construction Cost Data (RSMeans) were reviewed, and the actual construction costs were calculated by applying personal domestic expenses. As a result, the standard of the estimated unit showed a good ratio of 107% for heavy pruning of street tree pruning compared to the actual construction cost, but light pruning was underestimated with a 59% ratio. Shrub pruning was 82%, weeding was 92%, tree fertilization was 87%, and windbreak wall installation was 91% under-engineered. In addition, it was also confirmed that the watering by sprinkler trucks and chemical spraying were over-designed compared to the actual construction cost at the rates of 118% and 124%, respectively. Due to the specificity of the street trees, the increase in personal expenses and the input cost of equipment, such as road safety controls, were judged to be the main cause of the underestimation of items. Therefore, it is necessary to add items related to street trees and general landscape trees to the landscape maintenance items of the standard of the estimated unit.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.6-7
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• 2021

Vegetation development in rivers is one of the important issues not only in academic fields such as geomorphology, ecology, hydraulics, etc., but also in river management practices. The problem of river vegetation is directly connected to the harmony of conflicting values of flood management and ecosystem conservation. In Korea, since the 2000s, the issue of river vegetation and land formation has been continuously raised under various conditions, such as the regulating rivers downstream of the dams, the small eutrophicated tributary rivers, and the floodplain sites for the four major river projects. In this background, this study proposes a method for classifying the distribution of vegetation in rivers based on remote sensing data, and presents the results of applying this to the Naeseong Stream. The Naeseong Stream is a representative example of the river landscape that has changed due to vegetation development from 2014 to the latest. The remote sensing data used in the study are images of Sentinel 1 and 2 satellites, which is operated by the European Aerospace Administration (ESA), and provided by Google Earth Engine. For the ground truth, manually classified dataset on the surface of the Naeseong Stream in 2016 were used, where the area is divided into eight types including water, sand and herbaceous and woody vegetation. The classification method used a random forest classification technique, one of the machine learning algorithms. 1,000 samples were extracted from 10 pre-selected polygon regions, each half of them were used as training and verification data. The accuracy based on the verification data was found to be 82~85%. The model established through training was also applied to images from 2016 to 2020, and the process of changes in vegetation zones according to the year was presented. The technical limitations and improvement measures of this paper were considered. By providing quantitative information of the vegetation distribution, this technique is expected to be useful in practical management of vegetation such as thinning and rejuvenation of river vegetation as well as technical fields such as flood level calculation and flow-vegetation coupled modeling in rivers.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.42 no.6
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• pp.729-738
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• 1997

To estimate the change in rice productivity around lake Juam due to construction of artificial lake, growth, yield components and yield of rice were measured at different locations around lake Juam for three years from 1994 to 1996. Automated weather stations(AWS) were installed nearby the experimental paddy fields, and daily maximum, average and minimum temperature, solar radiation, relative humidity, and precipitation were measured for the whole growing period of rice. Plant height, number of tillers, leaf area and shoot dry weight per hill were observed from 8 to 10 times in the interval of 7 days after transplanting. Yield and yield components of rice were observed at the harvest time. Simulation model of rice productivity used in the study was SIMRIW developed by Horie. The observed data of rice at 5 locations in 1994, 3 locations in 1995 and 4 locations in 1996 were inputted in the model to estimate the unknown parameters. Comparisons between observed and predicted values of shoot dry weights, leaf area indices, and rough rice yield were fairly well, so that SIMRIW appeared to predict relatively well the variations in productivity due to variations of climatic factors in the habitat. Climatic elements prior to as well as posterior to dam construction were generated at six locatons around lake Juam for thirty years by the method of Pickering et al. Climatic elements simulated in the study were daily maximum and minimum temperature, and amount of daily solar radiation. The change in rice productivity around lake Juam due to dam construction were estimated by inputting the generated climatic elements into SIMRIW. Average daily maximum temperature after dam construction appeared to be more or less lower than that before dam construction, while average daily minimum temperature became higher after dam construction. Average amount of daily solar radiation became lower with 0.9 MJ $d^{-1}$ after dam construction. As a result of simulation, the average productivity of habitats around lake Juam decreased about 5.6% by the construction of dam.