• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.533-536
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• 2019

Recombinant baculoviruses are widely used to express heterologous genes in cultured insect cells. Recombinant baculoviruses can serve as gene-transfer vectors for expression of recombinant proteins in a wide range of mammalian cell types. Baculovirus system has significant benefits in view of safety, large-scale, and high level of gene expression. In this study, baculoviral vectors which were reconstructed from pOPINEneo-3C-GFP vector, were recombined with cytomegalovirus (CMV) promoter, green fluorescent protein (GFP), and p53 with NcoI and XhoI. These recombinant vectors were infected with various cells and cell lines. The baculovirus vector thus developed was analyzed by comparing the metastasis and expression of the recombinant genes with conventional vectors. These results suggest that the baculovirus vector has higher efficiency in metastasis and expression than the control vector. This work was supported by a grant from Mid-Career Researcher Program(NRF-2016R1A2B4016552) through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning(MSIP).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.523-531
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• 2018

The purpose of this paper is to derive priorities and implications for the organic resource conservation policy in the livestock sector. We conducted a survey on the importance-performance of the organic waste resource reclamation of livestock sector using a 5-point Likert scale. The importance average for the resource recycling of livestock organic waste was 3.63 and the average of performance was 3.04. As a result of the IPA on livestock manure recycling measures, it is necessary to improve feed quality, establish a local recycling system, increase demand for compost and liquid, enhance customer linkages, and develop cost reduction technologies. It requires intensive support for promoting the spread of odor reduction technologies and integrated management of biomass. It is necessary to introduce mid- and long-term measures such as the revival of feed in tariff, promote by-product feeding, establish solid fuel process management standards, create hygiene safety standards, develop eco-beads and promotion of feed conversion. It is required to strengthen support for the development of odor reduction technologies and prepare consultative organizations among related departments, develop eco-friendly solid fuel technology, and support policies for renewable energy certification.

• Korean Journal of Construction Engineering and Management
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• v.22 no.5
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• pp.73-85
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• 2021

This study proposes an efficient management direction for Korean construction accident cases through a deep learning-based text data classification model. A deep learning model was developed, which categorizes five categories of construction accidents: fall, electric shock, flying object, collapse, and narrowness, which are representative accident types of KOSHA. After initial model tests, the classification accuracy of fall disasters was relatively high, while other types were classified as fall disasters. Through these results, it was analyzed that 1) specific accident-causing behavior, 2) similar sentence structure, and 3) complex accidents corresponding to multiple types affect the results. Two accuracy improvement experiments were then conducted: 1) reclassification, 2) elimination. As a result, the classification performance improved with 185.7% when eliminating complex accidents. Through this, the multicollinearity of complex accidents, including the contents of multiple accident types, was resolved. In conclusion, this study suggests the necessity to independently manage complex accidents while preparing a system to describe the situation of future accidents in detail.

• Journal of the Society of Disaster Information
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• v.17 no.1
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• pp.120-127
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• 2021

Purpose: In this study, the effect of changes in the variables related to water droplets on the spray density on the floor in the analysis of the water mist fire protection system using FDS was analyzed. Method: When the spray of the water mist nozzle was analyzed in FDS, Particles Per Seconds, Particle Velocity, Size Distribution, and Spray Pattern Shape that can be set in relation to droplets were input to review the analyzed results. Result: In the analysis results, when the number of particles per second was set above a certain value, the spray density of the floor was similar. In the case of Particle Velocity, as the velocity decreases, the spray density of the central portion increases but decreases at a distance of 0.15m or more. From the analysis of the change in the size distribution function, it was found that an increase in the 𝛾 value increases the spray density of the central part, but the value at a remote location decreases. Compared to the result of applying the Gaussian distribution, the median value decreases dramatically when the uniform distribution is applied, but the value at the adjacent position increases. Conclusion: Variables related to the droplet properties of the FDS affect the spray density of the floor. Therefore, in order to increase the reliability of results before performing analyses such as fire suppression or cooling, a sufficient review of input variables is required.

• Korean Chemical Engineering Research
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• v.59 no.2
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• pp.209-218
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• 2021

First principle-based modeling studies have been performed to improve the heat exchange efficiency of ORV and optimize operation, but the heat transfer coefficient of ORV is an irregular system according to time and location, and it undergoes a complex modeling process. In this study, FNN, LSTM, and AutoML-based modeling were performed to confirm the effectiveness of data-based modeling for complex systems. The prediction accuracy indicated high performance in the order of LSTM > AutoML > FNN in MSE. The performance of AutoML, an automatic design method for machine learning models, was superior to developed FNN, and the total time required for model development was 1/15 compared to LSTM, showing the possibility of using AutoML. The prediction of NG and seawater discharged temperatures using LSTM and AutoML showed an error of less than 0.5K. Using the predictive model, real-time optimization of the amount of LNG vaporized that can be processed using ORV in winter is performed, confirming that up to 23.5% of LNG can be additionally processed, and an ORV optimal operation guideline based on the developed dynamic prediction model was presented.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.245-245
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• 2017

하천 시설물은 홍수시 혹은 비상시 운영할 수 있는 경보시스템이나 관리지침 등의 마련이 필수적임에도 불구하고, 현재까지 가동보 시설물에 대한 비상시 운영 메뉴얼 및 경보시스템이 구축되지 못한 실정이다. 4대강 살리기 사업이나 하천정비사업과 같은 대표적인 하천관련 사업에서 단순한 하천 이 치수 목적뿐만 아니라 소수력 발전, 친수공간조성 등의 다목적 활용을 위하여 가동보 설치 사업이 다수 수행되었으며, 현재 국내 하천에 약 1,200여개의 가동보가 설치 운영되고 있다. 이와 같이 다목적 활용을 위하여 가동보의 수요가 급증하는데 반해, 각 설치 현장 상황에 적합한 가동보 운영지침이나 비상경보시스템이 구축되지 못한 실정이며, 적절한 지침 없이 관행적인 가동보 방류로 인한 물놀이 안전사고나 인명피해가 속출하고 있는 실정이다. 2012년 11월에는 하천 제수변 공사를 위해 전주천에 설치한 가동보를 임시적으로 방류하였는데, 하류측의 안전을 확인하지 않고 관행적으로 가동보를 방류하였고, 경보시스템의 부재로 인하여 가동보 하류측 징검다리를 건너는 유치원생들이 급류에 휩쓸리는 사고가 발생하였고, 최근 2014년 5월에는 수원시에 위치한 원천저수지 여수로 둑에 설치된 가로 34m 높이 1.6m 크기의 가동보가 공기압축기의 오작동으로 인하여 보 높이가 낮아지면서 약 30분 원천저수지 하류의 원천리천에 갑자기 무리 불어나 산책로가 침수되고 인근에 산책하던 주민들이 휩쓸려 떠내려가는 사고가 발생하였다. 해외에서도 가동보 운영 미숙으로 인하여 인명사고가 발생하는데, 2008년 11월 호주에서는 하류측 상황 점검이나 경고 방송 없이 가동보를 도복시켜 4살 여아가 급류에 사망하는 사고가 발생하였다. 국외의 경우에는, 상류측 홍수 수위나 하류측 역류 수위를 조절하기 위하여 가동보의 높이를 제어하는 시스템을 구비하고 있지만 이러한 시스템 역시 단순한 수위조절 기능으로서 가동보의 방류량을 제어하지 못하는 실정이다. 가동보를 운영하기 위한 조작시스템은 국내의 경우, 조작실의 조작판넬을 이용하여 가동보의 기립/도복 조작이나 원격 조작 기능과 같은 단순기능만을 구비하고 있어 가동보 방류시 하류측의 범람 피해를 야기하고 있다. 본 연구에서는 가동보 방류에 의한 하류측 범람 피해를 최소화하기 위하여 (1)가동보 도복에 의한 방류량 산정 알고리즘을 개발하고, (2) 방류량에 따른 하류측 수위상승 범위 예측 기법을 개발하고, (3) 가동보 도복 속도를 제어하는 방류량 제어시스템을 개발하고, (4) 가동보 방류에 의한 비상경보시스템을 개발하였다.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.499-506
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• 2021

Hackers' cyber attack techniques are becoming more sophisticated and diversified, with a form of attack that has never been seen before. In terms of information security vulnerability standard code (CVE), about 90,000 new codes were registered from 2015 to 2020. This indicates that security threats are increasing rapidly. When new security vulnerabilities occur, damage should be minimized by preparing countermeasures for them, but in many cases, companies are insufficient to cover the security management level and response system with a limited security IT budget. The reason is that it takes about a month for analysts to discover vulnerabilities through manual analysis, prepare countermeasures through security equipment, and patch security vulnerabilities. In the case of the public sector, the National Cyber Safety Center distributes and manages security operation policies in a batch. However, it is not easy to accept the security policy according to the characteristics of the manufacturer, and it takes about 3 weeks or more to verify the traffic for each section. In addition, when abnormal traffic inflow occurs, countermeasures such as detection and detection of infringement attacks through vulnerability analysis must be prepared, but there are limitations in response due to the absence of specialized security experts. In this paper, we proposed a method of using the security policy information sharing site "snort.org" to prepare effective countermeasures against new security vulnerability attacks.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.65-73
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• 2022

This study identified the level of awareness of dangerous accidents by empirically analyzing the possibility of hazardous accidents at work and the possibility of dangerous accidents due to COVID-19 targeting the participating seniors who are active in the Senior Club, an organization dedicated to job placement for the elderly. The purpose of this study is to provide basic data for preparing measures to improve risk accidents that may occur in organizations in charge of job placement for the elderly and to suggest countermeasures to prevent dangerous accidents. For this purpose, data were collected from the elderly participating in 16 senior clubs in Busan, and 425 of the collected 430 were ultimately used. As a result of this study, first, it was found that the elderly who participated in a job-dedicated institution for the elderly generally perceived the possibility of occupational risk accidents and risk factors due to COVID-19 to be low. Second, it was found that there was a statistically significant difference in the probability of occurrence of hazardous accidents at work according to demographic characteristics during the participation period, and the probability of occurrence of dangerous accidents with COVID-19 was found to have statistically significant differences in the classification and age of the participating elderly. Based on the results of this study, the project manager suggested creating a safety accident management record sheet, preparing a risk management manual, and establishing a risk management system reflecting the individual characteristics of the participants.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.4
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• pp.173-183
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• 2020

In the midst of the aging of underground facilities in urban areas and anxiety about road excavation safety accidents, the Ministry of Land, Infrastructure and Transport began to build Underground Geospatial Infomation Map from 2015 as part of the 「ground subsidence prevention measures」 and efficient use of underground spaces. So, the scope is spreading every year. The current Underground Geospatial Infomation Map information is web-based and is operated in a desktop environment, so it is true that there are some limitations in its use in a field environment such as an excavation construction site. The Underground Geospatial Infomation Map, built and operated in a web-based environment, is a large-scale 3D data. Therefore, in order to service by transmitting data to the field without delay, it is necessary to lighten the Underground Geospatial Infomation Map data. In addition, the current Underground Geospatial Infomation Map is not unified in data formats such as 3DS and COLLADA, and the coordinate system method is also different in relative coordinates and absolute coordinates. In this study, by analyzing domestic and overseas prior research and technical use cases, a mobile Underground Geospatial Infomation Map data format and a lightweight method were presented, and a technology development was conducted to create a mobile underground space integration map in the presented format. In addition, the weight reduction rate was tested by applying 3D data compression technology so that data can be transmitted quickly in the field, and technology was developed that can be used by decompressing 3D data compressed in the field. finally, it aims to supplement the technology experimentally developed in this study and conduct additional research to produce it as software that can be used in the excavation site and use it.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.4
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• pp.234-252
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• 2020

This paper is to verify the effectiveness of 'Hybrid Disaster Management Strategy' that integrates 'RTM(Real-time Monitoring) based On-line' and 'UAV based Off-line' system. For landslide prone area where sensors were installed, the conventional way of risk management so far has entirely relied on RTM data collected from the field through the instrumentation devices. But it's not enough due to the limitation of'Pin-point sensor'which tend to provide with only the localized information where sensors have stayed fixed. It lacks, therefore, the whole picture to be grasped. In this paper, utilizing 'Digital Photogrammetry Software Pix4D', the possibility of inference for the deformation of ungauged area has been reviewed. For this purpose, actual measurement data from RTM were compared with the estimated value from 3D point cloud outcome by UAV, and the consequent results has shown very accurate in terms of RMSE.