• Journal of Wetlands Research
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• v.21 no.3
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• pp.199-206
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• 2019

To understand vegetational characteristics of abandoned paddy terraces (APTs), species composition and plant species richness of APTs were compared with those of other natural- and constructed wetlands (NWs and CWs, respectively). Based on frequency of major vegetational components, Phragmites japonicus was more common in APTs (23.9%) than NWs (10.8%) and CWs (10.8%), whereas P. australis was less frequent in APTs (18.3%) than NWs (43.1%) and CWs (35.4%). Typha orientalis was common only in APTs (19.7%), whereas T. angustifolia was relatively common in NWs (21.5%) and CWs (32.3%). In addition, some wetland obligate species such as Leersia japonica, Oenanthe javanica, and Sium suave were frequently found only in APTs. In particular, APTs showed higher plant species richness ($6.3{\pm}2.2\;species/m^2$) than NWs ($4.9{\pm}1.8\;species/m^2$) and CWs ($3.9{\pm}1.3\;species/m^2$). APTs exhibited not only their distinctive vegetational characteristics but also higher ecological value in terms of plant species richness. Further attention on APTs as valuable biotopes supporting diverse plant species and continuous effort for management and conservation are needed more.

• Fire Science and Engineering
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• v.32 no.6
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• pp.46-54
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• 2018

A total of 19 elevators for evacuation were installed in the Lotte World Tower and it is planned to operate the shuttle using the manual key from five refuge floors to the 1st floor in an emergency. In the event of a fire or other disaster, it is necessary to conduct intensive analysis to determine how much RSET reduction could be achieved using the evacuation elevator compared to the existing evacuation plans. When the optimal transportation sharing ratio by the evacuation elevators was 40% at the Lotte World Tower, the RSET of the evacuation scenario in parallel with the elevators in the entire building was calculated to be 1 hour and 2 minutes. The RSET of a conventional evacuation scenario (Walking along the stairs without using the elevators) was calculated to be 1 hour 29 minutes, therefore, the former evacuation scenario were found to have a shortening effect of approximately 27 minutes compared to the latter. On the other hand, to maintain this effect, each part of the evacuation route using the elevator must have the capability to protect the evacuee from any hazards caused by fires, such as smoke, flame, and radiant heat during the evacuation. Moreover, the evacuation route should be continuous from the residence position of the elevator user to the final evacuation site, and be recognized easily.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.329-331
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• 2014

The analysis of the similarities and redundancies among R&D projects is important for the efficient investment of government budgets. When government R&D projects are planned, the redundancies of research tasks are examined by institutions specializing in research management, relevant offices and departments, and the government to prevent redundant funding. However, as existing similarity analyses depend on methods wherein new task proposals and existing R&D project proposals are compared and looked up based on keywords. This results in vulnerability wherein similarity cannot be accurately measured in the event of partial modifications of the task name or technical substitutions. This study aims to use patent information as characteristics by which R&D project documents can be identified. The patent data used is based on materials officially published by the government's R&D patent trend survey project (http://ipas.rndip.re.kr). The study aims to propose a method by which patent information can be used to analyze the similarity and redundancy among R&D projects when new projects are entered. For this purpose, a similarity measurement model based on set theory and probability theory is presented. The presented measurement model is implemented into an actual system to identify redundant documents, and calculate and show their similarity.

• Journal of Cadastre & Land InformatiX
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• v.49 no.1
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• pp.103-112
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• 2019

Extraction of region of interest for satellite image classification is one of the important techniques for efficient management of the national land space. However, recent studies on satellite image classification often depend on the information of the selected image in selecting the region of interest. This study propose an effective method of selecting the area of interest using the continuous digital topographic map constructed from high resolution images. The spatial information used in this research is based on the digital topographic map from 2013 to 2017 provided by the National Geographical Information Institute and the 2015 Sejong City land cover map provided by the Ministry of Environment. To verify the accuracy of the extracted area of interest, KOMPSAT-3A satellite images were used which taken on October 28, 2018 and July 7, 2018. The baseline samples for 2015 were extracted using the unchanged area of the continuous digital topographic map for 2013-2015 and the land cover map for 2015, and also extracted the baseline samples in 2018 using the unchanged area of the continuous digital topographic map for 2015-2017 and the land cover map for 2015. The redundant areas that occurred when merging continuous digital topographic maps and land cover maps were removed to prevent confusion of data. Finally, the checkpoints are generated within the region of interest, and the accuracy of the region of interest extracted from the K3A satellite images and the error matrix in 2015 and 2018 is shown, and the accuracy is approximately 93% and 72%, respectively. The accuracy of the region of interest can be used as a region of interest, and the misclassified region can be used as a reference for change detection.

• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.181-193
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• 2019

The regional economy growth of Jeju has seen higher than national growth since 2011 by the establishment of Jeju Special Self-Governing Province and the increase of incoming population, but its economic growth has slowed after 2016. This study conducted the dynamic shift-share analysis using the production and employees of each industry from 2010 to 2016, targeting Jeju with many factors of regional economic change. In the results of empirical analysis, the regional economy of Jeju was not the industrial structure depending on the national growth, but the industrial structure by the competitiveness and industrial structure of Jeju region. The industries having positive(+) effects of industrial mix effect and competitive effect on the production and the number of employees were the electricity/gas/heavy equipments & waterworks, construction, accommodation & restaurants, and service industry. These industries have positive effects on the regional industry of Jeju. The above-mentioned industries are not only more likely to grow than other regions, but also to drive the local economy of Jeju. In order for these industries to continuously contribute to the regional economy of Jeju, it would be necessary to have the policy/institutional support in the long-term perspective.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.394-405
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• 2019

The purpose of this study is to clarify the concept of the frail elderly and to obtain theoretical evidence. The research method was conducted using the basic principles for conceptual analysis of Walker and Avant(2005). As a Result of a review of the literature about how to utilize the concept of a frail elderly, frail elderly might be in the intermediate state of health and disease. They can be defined as physically vulnerable in the sarcopenia, inflammation, insulin resistance, and preceding advanced disease, lead to hospitalization, falls, disability, and death. The attributes were physiological, psychological, and socio-environmental and economic factors, so they had multidimensional factors. They were required the assist daily living of another person. Also, their attributes had decreased the amount of recovery time and degree, and exhaustion. The attributes of frail elderly consisted of these facts: dynamic process, multidimensional factors, dependency, vulnerability. The frail elderly was a dynamic process that involves the possibility of change to health and disease, and include physical, mental, cognitive, and social environmental factors. In addition, the frail elderly was difficulty in daily life, physical vulnerability and difficulty in adaption. In conclusion, frail elderly as defined by the results of this study will contribute to the foundation of health care systems, including community visiting nursing to understand the level of frail elderly and systemic management to do not go into long term care.

• Journal of Korean Society of Disaster and Security
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• v.14 no.3
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• pp.1-16
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• 2021

Recently, large-scale projects are required in the water resources sector considering safety and publicitythe due to uncertainty of securing water resources and changes in the ecological environment by climate change. Among these large-scale projects, the projects that fall under the preliminary feasibility study are determined by comprehensive analysis based on economic analysis, policy analysis, and balanced regional development analysis. However, most of the results of the preliminary feasibility study showed a tendency to depend heavily on economic analysis. For this reason, projects in non-metropolitan areas sometimes fail in the preliminary feasibility study. To supplement this point, the Korea Development Institute revised the standard guidelines for preliminary feasibility studies for water resources sector projects that place a high weight on policy feasibility analysis. Therefore, the objective of this study is to analyze the cases of the preliminary feasibility study conducted previously and to suggest the direction of policy analysis in the preliminary feasibility study for water resources sector projects. For this, we analyze preliminary feasibility studies conducted for 18 years from 2002 to 2019, and suggest direction of policy analysis method using the benefit items not included in the economic analysis.

• Journal of Platform Technology
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• v.9 no.3
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• pp.52-62
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• 2021

Quality control is critical at manufacturing sites and is key to predicting the risk of quality defect before manufacturing. However, the reliability of manual quality control methods is affected by human and physical limitations because manufacturing processes vary across industries. These limitations become particularly obvious in domain areas with numerous manufacturing processes, such as the manufacture of major nuclear equipment. This study proposed a novel method for predicting the risk of quality defects by using natural language processing and machine learning. In this study, production data collected over 6 years at a factory that manufactures main equipment that is installed in nuclear power plants were used. In the preprocessing stage of text data, a mapping method was applied to the word dictionary so that domain knowledge could be appropriately reflected, and a hybrid algorithm, which combined n-gram, Term Frequency-Inverse Document Frequency, and Singular Value Decomposition, was constructed for sentence vectorization. Next, in the experiment to classify the risky processes resulting in poor quality, k-fold cross-validation was applied to categorize cases from Unigram to cumulative Trigram. Furthermore, for achieving objective experimental results, Naive Bayes and Support Vector Machine were used as classification algorithms and the maximum accuracy and F1-score of 0.7685 and 0.8641, respectively, were achieved. Thus, the proposed method is effective. The performance of the proposed method were compared and with votes of field engineers, and the results revealed that the proposed method outperformed field engineers. Thus, the method can be implemented for quality control at manufacturing sites.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.328-328
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• 2016

우리나라는 생활용수의 대부분을 지표수에 의존하고 있는 실정이다. 그러나 지표수는 가뭄과 같은 기상변화, 수질사고 등으로 물 공급의 안정성에 문제가 되기도 한다. 향후 기후변화는 가뭄의 빈도와 강도를 증대시킬 것으로 파악되므로 수질 및 수량의 문제를 더욱 악화시킬 것으로 예상된다. 이러한 문제점을 해결하기 위해 지표수를 대수층 내에 인공적으로 함양한 뒤 대수층의 자연정화 기능에 의해 여과된 양질의 청정원수를 생산하는 기술을 본 연구에서 현장에 실증 적용하는 시설을 구축하였다. 이러한 기술은 기존의 지하 대수층을 이용하는 강변여과 등이 갖는 장점을 취하고 단점을 보완하였으며 친환경적이며 지속가능한 용수공급뿐만 아니라 청정 원수 확보를 통해 정수처리비용을 절감, 장기간의 가뭄이나 지표수 수질사고 시에 비상용수 공급 등 기존 취수원들과 달리 많은 장점을 갖고 있는 대규모 청정지하저수지 시험시설이다. 청정 지하저수지 기술이 주로 적용되는 지역은 해안지역 또는 하구 델타지역을 대상으로 한다. 해안 또는 델타지역은 해수침투로 인하여 염지하수가 부존되어 있기 때문에 지하수자원 활용에 매우 제한적이다. 따라서 지표수(담수)를 전처리하여 대수층에 인공적으로 함양을 하여 염지하수 대수층 안에 담지하수(담수체)를 형성할 수 있다. 이는 염수와 담수의 밀도차에 의해 희석되지 않는 특성을 이용한 기술이다. 청정 지하저수지 시험시설은 크게 지표수 취수시설, 전처리시설, 주입정, 양수정, 운영시스템으로 나눌 수 있다. 주입정 및 양수정은 원형의 형태로 지하저수지 조성범위 중심부에 9개의 주입정과 외각에 8개의 양수정을 설치하였다. 시험시설의 운영 과정은 하천수를 취수하여 전처리시설에서 탁도를 제거한 후, 피압대수층 염지하수에 동력으로 주입을 한다. 이때 기존에 부존되어 있던 염지하수를 밀어내고 담수체 지하수 형성을 유도한다. 일정기간 주입을 통해 목표 담수체를 만들어 내면 양수정에서 담수를 취수하되, 대수층의 모래자갈층을 일정거리 이동하여 취수하는 방식이다. 즉, 하천수를 대수층에 함양하고, 일정거리를 이동하여 취수하는 ASTR 방식의 대체수자원 확보 기술이다. 시험시설은 통합운영센터를 통해 원격감시 및 각종 제어/계측을 실시하며, 모니터링된 자료는 운영시스템에서 관리한다. 본 연구시설에서는 대수층 주입, 관정폐색, 미생물/지화학 수질반응, 지하수모니터링, 지반변형 등이 주요 핵심 연구를 진행하고 있도록 시설을 구성하였다. 본 시험시설은 2015년 8월 착공하여 2016년 4월에 완공 예정이며, 2016년 3월부터 주입을 시작하여 6개월간 피압대수층에 주입을 실시하고 이후부터 주입과 양수를 병행할 계획이다.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.6
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• pp.25-32
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• 2020

The seed, the most basic component, is an important factor in increasing production and efficiency in agriculture. Seeds with superior genes can be expected to improve agricultural productivity, crop survival, and reproduction. Currently, however, screening of superior seeds depends mostly on manual work, which requires a lot of time and manpower. In this paper, we propose a system that can extract the characteristics of seed phenotypes by using computer image processing technology, so that even a small number of people and a short period of time are needed to extract the characteristics of seeds. The proposed system detects individual seeds from images containing large quantities of seeds, and extracts and stores various characteristics such as representative colors, area, perimeter and roundness for each individual seed. Due to the regularity of input images, the accuracy of individual seed extraction in the proposed system is 99.12% for soybean seeds and 99.76% for rice seeds. The extracted data will be used as basic data for various data analyses that reflect the opinions of experts in the future, and will be used as basic data to determine the expressive nature of each seed.