• Journal of Wetlands Research
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• v.21 no.1
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• pp.27-33
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• 2019

The future water management needs decentralization of facilities, diversity of technology and integration of management to overcome the waste of financial resources and increase in scale of facilities that occurred from centralized water management. In addition, citizen's environmental awareness and participation is important because all infrastructure installed in the watershed where citizens live should have the function of water management. Therefore, the research was performed by investigating the citizen's recognition about urban environment와 LID application to analyze citizen's perceptions and analyze the feasibility and possibility of LID application. The LID awareness of citizens was about 59%, but only about 46% of citizens agreed on the extension of application. However, after contacting LID photographs and information, 90% of respondents agreed on the application of LID, and 94% of respondents were able to distinguish between grey infrastructure and LID infrastructure. Citizens appeared to have a tendency to recognize green spaces as multi-functional LID infrastructure or green infrastructure. If citizens recognize multi-functional LIDs only as landscapjng area, it will be very difficult to extend the LID on the city areas. Therefore, for the extended application of the LID facilities, it is necessary to use public relations strategy to utilize the results and visual data on the actual effect verification. In addition, as every social infrastructure is formed in watershed where citizens live, it is necessary to plan and manage the infrastructure through governance with citizen participation.

• Proceedings of the Korean Society for Information Management Conference
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• 2017.08a
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• pp.100-100
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• 2017

100년의 역사를 지닌 한국지질자원연구원(KIGAM)은 국내 유일의 지질자원 전문연구기관으로서 그간 생산한 조사 연구데이터는 우리나라 과학기술의 귀중한 역사적 학술적 가치가 큰 유산으로써 보존 가치가 매우 크다고 할 수 있다. 하지만 현재 KIGAM의 상황은 최종성과물 위주로 자료관리가 이루어지고 있으며, 조사 연구 과정에서 생산된 암석 토양 지하수샘플이나 조사 탐사장비를 통해 얻어지는 자료는 연구자 또는 연구실 팀에서 개별적으로 관리하고 있다. 이러한 자료관리체계는 자료의 공동 활용이 어렵고, 자료를 보유하고 있는 연구자의 퇴직이나, 조직개편으로 인한 팀 실의 분리 과정에서 자료의 손실과 훼손 가능성이 높고, 누가 어디에 어떤 자료를 무슨 형태로 보관하고 있는지 찾기 어려워 자료의 재활용도가 떨어질 뿐만 아니라, 이로 인한 중복 조사 연구 가능성도 배제할 수 없다. KIGAM은 지질자원분야 국가데이터센터 구축을 목표로 연구과정에서 생산되는 연구데이터의 체계적인 관리와 공유, 활용체계 구축을 위해 2015년도에 기획사업을 통해 중장기 로드맵을 포함한 추진전략을 수립하였으며, 한국과학기술정보연구원(KISTI)의 DataNest를 기술이전받아 지질자원 연구데이터 리포지토리 시스템(GDR: Geoscience Data Repository)를 개발하였다. GDR 시스템 개발을 위해 연구데이터 분류코드를 작성하였으며, 2016년부터 데이터관리계획(DMP: Data Management Plan)을 주요사업 연구계획서 양식에 포함시켜 제출하도록 하였다. 과거 KIGAM은 연구데이터를 수집, 관리하기 위해 몇 차례에 걸쳐 시도를 했지만 실패한 경험을 가지고 있다. 실패 요인에는 (1) 관련 정책, 제도, 조직, 인력, 예산 등 데이터 관리 인프라 부재, (2) 연구사업에서 생산된 데이터는 개인소유라는 인식 및 공유 의식 부족, (3) 데이터 관리 활동은 귀찮은 것이고, 시간 낭비라는 인식, (4) 데이터 관리 공개 공유 활동에 대한 보상체계 부재 등을 꼽을 수 있다. 즉, 제도를 포함한 인프라 부족과 경영진과 구성원의 인식부족이 제일 큰 원인으로 판단된다. 성공적인 연구데이터 관리를 위해서는 지속적이고 꾸준한 투자가 이루어져야 하지만 경영진의 의지에 따라 사업이 중단되기도 한다. 이러한 과거의 실패 요인에 대한 해결 없이 지난 1년 6개월 정도의 GDR 운영은 지지부진하였다. 이러한 문제점을 해결하기 위해서는 국가차원의 제도적 뒷받침이 따라야 한다. 즉 국가 R&D 성과물 관리차원에서 연구데이터를 주요 성과물로 관리해야 할 것으로 판단된다. 연구사업계획서에 DMP를 포함시키고, 연구주제 및 분야별로 데이터센터(혹은 데이터 리포지토리)를 지정하고, 국가 R&D에서 생산되는 연구데이터를 의무적으로 제출하도록 하는 것이다. 또한 데이터센터의 안정적이고 지속적인 운영을 위해 연구사업비 항목에 데이터 관리비를 신설하여 데이터센터의 운영비로 사용하도록 하면 예산문제도 어느 정도 해결 될 수 있을 것으로 본다. 또한 데이터 제출 및 인용도에 따라 데이터 생산부서 혹은 생산자에게 평가점수를 부여하는 등 보상체계 마련을 위한 연구도 필요할 것으로 보인다. 국가 R&D 연구데이터의 수집, 관리, 공유, 활용을 제대로 성공시키려면 국가 R&D 최고정책결정자의 지속적인 관심과 지원이 필수적이다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.725-733
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• 2018

With urbanization projects involving trunk roads progressing, many simple interchanges, which separate passing traffic into the main traffic and access subtraffic, are being constructed to maximize the traffic capacity. Under the current Road Connection Rule, the access-prohibited section in an interchange is determined based on the access lane and limit distance in the complete interchange road, but separate criteria for the simple interchange are not defined. This may cause confusion in the Road Management Office's determination of the access-prohibited section in the simple interchange, or lead to the application of the criteria for the access-prohibited section in the complete interchange without considering the features of such interchange. This study conducted a comparative analysis of the domestic and overseas systems related to the installation of access section in trunk roads, such as general national roads. This paper presents a survey of the methods for applying the access-prohibited section in the interchange along with the actual cases and proposes improvement measures for a rational calculation of the access prohibited installation section in the simple interchange to minimize the downsides associated with the application of the extremely strict criteria. The proposed road connection rule improvement measures based on the consideration of the purpose of installing the simple interchange and on the consideration the features of the simple interchange are expected to prevent administration confusion by the field road management offices as well as the waste of unnecessary efforts and costs by petitioners so they can boost the service satisfaction for people and the administrative reliability.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.161-170
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• 2019

Multi-product mass production small and medium enterprise factories have a wide variety of products and a large number of products, wasting manpower and expenses for inventory management. In addition, there is no way to check the status of inventory in real time, and it is suffering economic damage due to excess inventory and shortage of stock. There are many ways to build a real-time data collection environment, but most of them are difficult to afford for small and medium-sized companies. Therefore, smart factories of small and medium enterprises are faced with difficult reality and it is hard to find appropriate countermeasures. In this paper, we implemented the contents of extension of existing inventory management method through character extraction on label with barcode and QR code, which are widely adopted as current product management technology, and evaluated the effect. Technically, through preprocessing using OpenCV for automatic recognition and classification of stock labels and barcodes, which is a method for managing input and output of existing products through computer image processing, and OCR (Optical Character Recognition) function of Google vision API. And it is designed to recognize the barcode through Zbar. We propose a method to manage inventory by real-time image recognition through Raspberry Pi without using expensive equipment.

• 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 Convergence for Information Technology
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• v.11 no.6
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• pp.40-48
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• 2021

The paper dealt with the fact that the green deal took place when the demand for electrical energy surged. However, the procurement of electric vehicles and much of the electric energy of the future still depends on fossil fuels. Accordingly, the importance of the IT industry is highlighted, and the demand for hydrogen-electric vehicles and related industries increases. The method of this study investigated the relevance of EV charging as a future next-generation power source rather than the electric energy demand of the IT industry. This study derives the correlation between industrial electricity and household energy PPP according to economic growth through empirical regression analysis. As the result, it was found that the amount of change, including electric and next-generation electric vehicles, was significant for on thirds of the countries in the change in purchasing power compared to GDP. This affects overall purchasing power as twelve out of thirty two countries with EV demand (Italy, Canada, Switzerland, Poland, Slovenia, Germany, Slovakia, Finland, Sweden, Czech Republic, Estonia, Denmark) are more sensitive to electric energy. This is related to the charging of EVs or hydrogen as the next-generation power of the future rather than the electric energy demand of the IT industry. By preventing waste of unused electricity of IT-electric energy sources and charging-preserving hydrogen electricity, it seems indispensable to prepare for the national IT power conservation buffer facility for supply and demand in future growth.

• Smart Media Journal
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• v.9 no.4
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• pp.66-72
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• 2020

As the online education market expands, educational contents with various presentation methods are being developed and released. In addition, it is imperative to develop content that reflects the usability and user environment of users who use this educational content. However, for qualitative growth of contents that will support quantitative expansion of markets, existing model analysis methods are urgently needed at a time when development direction of newly developed contents is secured. In this process of content development, a typical model for setting development goals is needed, as the rules of the prototype affect the entire development process and the final development outcome. It can also provide a positive benefit that screens the issue of performance dualization between processes due to the absence of communication between a single entity or between a number of entities. In the case of AR-based educational content which is effective to secure data necessary for development by securing samples of similar categories because there are not enough ready-made samples released. Therefore, a big data statistical analysis service is needed that can easily collect data and make decisions using big data. In this paper, we would like to design analysis services that enable the selection and detection of intuitive multidimensional factors and attributes, and propose big data-based statistical analysis services that can assist cooperative activities within an organization or among many companies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.449-455
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• 2020

Inventory management is one of the important business functions for manufacturing companies to determine market responsiveness. Customers' needs are diversifying, and the life cycle of products is decreasing, thus increasing the importance of inventory management. However, for small-scale manufacturing companies, investing in an IT system for inventory management is practically difficult. In this study, we introduce an inventory and warehouse management model that can be applied simply and quickly in small-scale manufacturing companies. Firstly, we introduce the concept of the properties of inventory and provide an analytical methodology based on the age and quantity of the inventory. Secondly, in accordance with the properties of the inventory, we introduce location management rules for warehouse operation. To apply the proposed model, we studied a wallpaper manufacturing company and verified the applicability of the proposed methods in the field. The proposed model can be applied immediately as part of on-site improvement activities by small-scale manufacturing companies, and inventory management activities are expected to reduce bad long-term inventory and further secure storage capacity for warehouses.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.65-79
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• 2021

The purpose of this study was to research how emotional factors affect decision-making on the maintenance and abandonment of a patent, and to present new criteria for patent policies. The types of Korean patent abandonment were analyzed according to the patent holding period, and a questionnaire survey was carried out to verify whether there are differences among patentees in terms of sunk cost bias, endowment effect, and coupling or not. Individuals and small and medium-sized enterprises showed relatively greater emotional bias toward sunk cost and endowment effect than large companies, and the sunk cost effect decreased as decision-making experience increased. In addition, the reduction in the payment cycle of the patent renewal fee has a positive effect on the increase in the willingness to use the patent right, and the individuals and small and medium-sized enterprises has a greater synergistic effect than the case of large companies, in particular. This study are expected to play a part in establishing policies to minimize wasteful factors of patent assets based on the propensity of the patentees.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.53-59
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• 2021

The marine transport industry generally applies new technologies later than other transport industries, such as airways and railways. Vessels require efficient operation, and their performance and lifespan depend on the level of maintenance and management. Many studies have shown that corrective maintenance (CM) and time-based maintenance (TBM) have restrictions with respect to enabling efficient maintenance of workload and cost to improve operational efficiency. Predictive maintenance (PdM) is an advanced technology that allows monitoring the condition and performance of a target machine to predict its time of failure and helps maintain the key machinery in optimal working conditions at all times. This study presents the development of a marine predictive maintenance (MPdM; maritime predictive maintenance) method based on applying PdM to the marine environment. The MPdM scheme is designed by considering the special environment of the marine transport industry and the extreme marine conditions. Further, results of the study elaborates upon the concept of MPdM and its necessity to advancing marine transportation in the future.