• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.4
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• pp.441-447
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• 2021

Construction sites are complex and dangerous because heavy equipment and workers perform various operations simultaneously within limited working areas. Solitary works of heavy equipment in complex job sites can cause fatal accidents, and thus they should interact with spotters and obtain information about surrounding environments during operations. Recently, many computer vision technologies have been developed to automatically monitor construction equipment and detect their interactions with other resources. However, previous methods did not take into account the interactions between equipment and spotters, which is crucial for identifying solitary works of heavy equipment. To address the drawback, this research develops a computer vision-based solitary work detection model that considers interactive operations between heavy equipment and spotters. To validate the proposed model, the research team performed experiments using image data collected from actual construction sites. The results showed that the model was able to detect workers and equipment with 83.4 % accuracy, classify workers and spotters with 84.2 % accuracy, and analyze the equipment-to-spotter interactions with 95.1 % accuracy. The findings of this study can be used to automate manual operation monitoring of heavy equipment and reduce the time and costs required for on-site safety management.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.2
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• pp.1-17
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• 2021

Existing research on the investment relationship between venture capital and start-up companies has mainly focused on choosing a startup from the perspective of venture capital, an investor. However, as competition among venture capital has increased recently, excellent start-ups with proven technology are choosing venture capital in reversely. This study investigated key elements that affect the selection of the venture capital by a startup. To this end, we looked at which venture capital company was selected as the final investor for startups that have received investment proposals from multiple venture capitals at the same time. Six early start-ups(pre-series A/Series A) and five mid-term (Series B/C) start-ups were interviewed to focus on the influence of the three elements regarding venture capital - 1) venture capital reputation, 2) relationship between cofounders and investors, and 3) value adding service provided by venture capital - on choice. As a result of the research, the investment portfolio among the reputations of venture capital was a very important element in selecting venture capital. However, it has been shown that the age and asset under management of venture capital are not important. Relationships have emerged as a very important element. Finally, as for venture capital's value-adding services, start-ups in this study did not consider it important. In particular, consulting and monitoring by venture capital has been found to be a burdening attribute for startups. This study suggests implications that can increase the probability of successful investment by venture capital in the investment market where investment competition is fierce, and enhance mutual understanding between venture capital and startups.

• Journal of Korea Water Resources Association
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• v.54 no.2
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• pp.121-133
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• 2021

Suspended Solids (SS) generated in rivers are mainly introduced from non-point pollutants or appear naturally in the water body, and are an important water quality factor that may cause long-term water pollution by being deposited. However, the conventional method of measuring the concentration of suspended solids is labor-intensive, and it is difficult to obtain a vast amount of data via point measurement. Therefore, in this study, a model for measuring the concentration of suspended solids based on remote sensing in the Nakdong River was developed using Sentinel-2 data that provides high-resolution multi-spectral satellite images. The proposed model considers the spectral bands and band ratios of various wavelength bands using a machine learning model, Support Vector Regression (SVR), to overcome the limitation of the existing remote sensing-based regression equations. The optimal combination of variables was derived using the Recursive Feature Elimination (RFE) and weight coefficients for each variable of SVR. The results show that the 705nm band belonging to the red-edge wavelength band was estimated as the most important spectral band, and the proposed SVR model produced the most accurate measurement compared with the previous regression equations. By using the RFE, the SVR model developed in this study reduces the variable dependence compared to the existing regression equations based on the single spectral band or band ratio and provides more accurate prediction of spatial distribution of suspended solids concentration.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.541-548
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• 2021

Recently, multispectral cameras are being actively utilized in various application fields such as agriculture, forest management, coastal environment monitoring, and so on, particularly onboard UAV's. Resultant multispectral images are typically georeferenced primarily based on the onboard GPS (Global Positioning System) and IMU (Inertial Measurement Unit)or accurate positional information of the pixels, or could be integrated with ground control points that are directly measured on the ground. However, due to the high cost of establishing GCP's prior to the georeferencing or for inaccessible areas, it is often required to derive the positions without such reference information. This study aims to provide a means to improve the georeferencing performance of a multispectral camera images without involving such ground reference points, but instead with the simultaneously onboard high resolution RGB camera. The exterior orientation parameters of the drone camera are first estimated through the bundle adjustment, and compared with the reference values derived with the GCP's. The results showed that the incorporation of the images from a high resolution RGB camera greatly improved both the exterior orientation estimation and the georeferencing of the multispectral camera. Additionally, an evaluation performed on the direction estimation from a ground point to the sensor showed that inclusion of RGB images can reduce the angle errors more by one order.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.515-522
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• 2022

This study analyzed the child protection system in Germany from a preventive perspective and attempts to find the applicable implications to Korea. The research method was analyzed in terms of legal, policy and professionalism. The result is as follows. First, Child and Youth Support Act in Germany stipulated a preventive support system to restore the function of the family. Second, according to the Civil Act, it was stipulated that the family court could intervene early. Third, the federal Child Protection Act stipulated community cooperation for thd child protection system. Fourth, the Youth Agency as the general authority made it possible to provide preventive support and intervention at the same time. Firth, qualification standards were specified in the Child and Youth Support Act. Child protection specialists are granted to public officials who have worked for more than three years. The implications are as follows. First, the child protection system, which operates as a child abuse reporting system, should be expanded to a preventive support system. Second, it is necessary to expand monitoring by establishing an early warning system between networks in order to establish a support system for potentially at-risk children. Third, local governments should support children and parents flexibly and comprehensively for dysfunction caused by difficulties at home. Fourth, it is necessary to enact the Child Protection System Cooperation Act for a network cooperation system.

• Food Science and Industry
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• v.55 no.1
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• pp.23-32
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• 2022

Processed foods using food additives designated as the other countries but not yet in Korea can be mixed and distributed among imported foods in Korea. Accordingly, it is necessary to develop an analysis method of undesignated food additives in order to continuously monitor. This paper introduced a study on the development and validation of analytical methods conducted in academia. The development of analytical methods was conducted using the analytical methods presented in previous studies. We first exhibited that simultaneous analysis of 12 food dyes was easy to reproduce, but the second introduced analytical method of emulsifiers cannot be utilized analysis using expensive equipment not provided in general laboratories, and it is difficult to reproduce due to the old publications. Therefore related national institutions, research and industry-academia circles need to constantly conduct research on the development of analytical methods for undesignated food additives.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.spc
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• pp.1-10
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• 2022

As the volume of marine hazardous and noxious substances (HNSs) transported in domestic and overseas seas increases, the risk of HNS spill accidents is gradually increasing. HNS leaked into the sea causes destruction of marine ecosystems, pollution of the marine environment, and human casualties. Secondary accidents accompanied by fire and explosion are possible. Therefore, various types of HNSs must be rapidly detected, and a control strategy suitable for the characteristics of each substance must be established. In this study, the ground HNS spill experiment process and application result of detection algorithms were presented based on hyperspectral remote sensing. For this, styrene was spilled in an outdoor pool in Brest, France, and simultaneous observation was performed through a hyperspectral sensor. Pure styrene and seawater spectra were extracted by applying principal component analysis (PCA) and the N-Findr method. In addition, pixels in hyperspectral image were classified with styrene and seawater by applying spectral matching techniques such as spectral distance similarity (SDS), spectral correlation similarity (SCS), spectral similarity value (SSV), and spectral angle mapper (SAM). As a result, the SDS and SSV techniques showed good styrene detection results, and the total extent of styrene was estimated to be approximately 1.03 m². The study is expected to play a major role in marine HNS monitoring.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.14-14
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• 2023

산업발전에 따른 인구증가, 기후위기에 따른 가뭄 및 물 부족심화, 그리고 수질오염 등은 2015년 제79차 UN총회의 물 안보측면에서 국제사회의 물 분야 위기관리를 위해 2030년을 지속가능한 발전 목표(Sustainable Development Goals)로 하였다. 또한, 현재 물 산업은 빠르게 성장하고 있으며, 2016년 세계경제포럼(World Economic Forum) 의장 클라우스 슈밥(Klaus Schwab)부터 주창된 제4차 산업혁명로 인해 현재 물 산업의 패러다임 또한 급속히 변화하고 있다. 이는 컴퓨터를 기반으로 하는 CPS(Cyber Physical System) 및 DT(Digital Twin) 연계 분석방식의 혁신을 일컫는다. 2002년경에 DT의 기본개념이 제시되었고, 2006년경에는 Embedded System에서의 DT와 같은 개념으로 CPS의 용어가 등장했다. DT는 현실세계에 존재하는 사물, 시스템, 환경 등을 S/W시스템의 가상공간에 동일하게 모사(Virtualization) 및 모의(Simulation)할 수 있도록 하고, 모의결과를 가상시스템으로 현실세계를 최적화 체계 구현 기술을 말한다. DT의 6가지 기능은 ① 실제 데이터(Live Data), ② 모사, ③ 분석정보(Analytics), ④ 모의, ⑤ 예측(Predictions), ⑥ 자동화(Automation) 이다. 또한, CPS는 대규모 센서 및 액추에이터(Actuator)를 가지는 물리적 요소와 이를 실시간으로 제어하는 컴퓨팅 요소가 결합된 복합시스템을 말한다. CPS는 물리세계에서 발생하는 변화를 감지할 수 있는 다양한 센서를 통해 환경인지 기능을 수행한다. 센서로부터 수집된 정보와 물리세계를 재현 및 투영하는 고도화된 시스템 모델들을 기반으로 사이버 물리공간을 인지·분석·예측할 수 있다. CPS의 6가지 구성요소는 ① 상호 운용성(Interoperability), ② 가상화(Virtualization), ③ 분산화(Decentralization), ④ 실시간(Real-time Capability), ⑤ 서비스 오리엔테이션(Service Orientation), ⑥ 모듈화(Modularity)이다. DT와 CPS는 본질적으로 같은 목적, 내용, 그리고 결과를 만들어내고자 하는 같은 종류의 기술이라고 할 수 있다. CPS 및 DT는 물리세계에서 발생하는 변화를 감지할 수 있으며, 토양-지하수 센서를 포함한 관측기술을 통해 환경인지 기능을 수행한다. 지하수 관측기술로부터 수집된 정보와 물리세계를 재현 및 투영하는 고도화된 시스템 모델들을 기반으로 사이버 물리공간 및 디지털 트윈 공간을 인지·분석·예측할 수 있다. CPS 및 DT의 기본 요소들을 실현시키는 것은 양질의 데이터를 모니터링할 수 있는 정확하고 정밀한 1차원 연직 프로파일링 관측기술이며, 이를 토대로 한 수자원 관련 빅데이터의 증가, 빅데이터의 저장과 분석을 가능하게 하는 플랫폼의 개발이다. 본 연구는 CPS 및 DT 기반 토양수분-지하수 관측기술을 이용한 지표수-지하수 연계, 지하수 순환 및 관리, 정수 운영 및 진단프로그램 개발을 위한 토양수분-지하수 관측장치를 지하수 플랫폼 동시성과 디지털 트윈 시뮬레이터 시스템 개발 방향으로 제시하고자 한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.111-111
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• 2021

메콩지역은 최근 연 7%에 육박하는 경제성장률을 달성하며 아세안의 고성장을 지속 견인하고 있으나, 기후변화 및 급속한 도시화로 매년 가뭄·홍수 등 물 관련 재해 발생 빈도 및 강도 증가와 이에 따른 상·하류 국가간 물 분쟁 등으로 인해 메콩지역 지속가능 발전에 지장이 초래되고 있다. 이에 한국과 미국은 메콩우호국(Friends of the Lower Mekong, FLM) "메콩지역 수자원 데이터 관리 및 정보공유 강화에 관한 공동성명(2018년 8월)"을 계기로 메콩유역의 실시간 수자원 변동 모니터링 및 분석과 수자원 데이터 공동활용 역량을 강화하여 효율적이고 과학적인 수자원관리 지원과 함께 한국의 신남방정책과 미국의 인도-태평양 전략 시너지효과를 극대화하고자 메콩 주변국 재해경감 및 수자원 데이터 활용 역량강화를 위한 글로벌 위성기반 수문자료의 생산·활용 및 홍수·가뭄 등의 수재해 분석기술을 개발하고 있다. 여기에는 한국 K-water의 물관리 기술과 미국 NASA, USACE의 위성활용 및 수자원분석 기술을 접목하여 메콩지역의 체계적인 물관리 및 재해로부터 안전성 확보 기여에 목표를 두고 연구를 진행 중에 있다. 본 연구에서는 전 세계적으로 광범위하게 활용되고 있는 미공병단(USACE, U.S. Army Corps of Engineers)의 HEC software 프로그램을 메콩 시범지역(pilot area)에 적용하여 수리/수문모델 구축을 진행코자 한다. 구축되는 모형은 유역 상류 댐의 연계 모의운영 및 하류 홍수분석이 동시 가능한 HEC-RTS(Real-Time Simulation)로 이는 HEC-HMS, -ResSim, -RAS와 -FIA 모형이 순차적으로 결합된 수리/수문 모델링 시스템이다. 모형의 시범적용 지역은 현지 메콩위원회(MRC, Mekong River Comission)의 의견 등을 반영, 메콩강 하류지역(Lower Mekong) 본류 유역에 위성 자료 활용 및 준실시간(near real-time)으로 댐 모의운영 등을 고려할 수 있는 JingHong댐(중국 란창강 최하류)에서 라오스 Xayaburi댐(메콩강 최상류)까지의 구간을 선정하였다. 한편, 금번 연구에서는 HEC-RTS 중 HMS 모형 적용을 중심으로 가용한 위성자료(GPM IMERG)와 K-LIS 지표 모형 생산 자료를 활용하여 과거 홍수사상에 대한 모의를 고려하였다. 아울러, 연구에서 구축된 HMS 모형은 HEC-RTS에 포함되어 메콩 시범지역의 종합적 수리/수문분석에 적용될 예정이다.

• Convergence Security Journal
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• v.22 no.1
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• pp.93-98
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• 2022

Information service technology continues to develop, and information service continues to expand based on the IT convergence trend. The premeter-based security model chosen by many organizations can increase the effectiveness of security technologies. However, in the premeter-based security model, it is very difficult to deny security threats that occur from within. To solve this problem, a zero trust model has been proposed. The zero trust model requires authentication for user and terminal environments, device security environment verification, and real-time monitoring and control functions. The operating environment of the information service may vary. Information security management should be able to response effectively when security threats occur in various systems at the same time. In this study, we proposed a security policy distribution system in the object reference method that can effectively distribute security policies to many systems. It was confirmed that the object reference type security policy distribution system proposed in this study can support all of the operating environments of the system constituting the information service. Since the policy distribution performance was confirmed to be similar to that of other security systems, it was verified that it was sufficiently effective. However, since this study assumed that the security threat target was predefined, additional research is needed on the identification method of the breach target for each security threat.