• Title/Summary/Keyword: Smart Nation

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A Study on the Possibility of Introducing a Resources Circulation Type Livestock Zone of Reclaimed Land (간척지 자원순환형 축산단지의 도입 가능성 연구)

  • Yoon, Sung-Yee
    • Korean Journal of Organic Agriculture
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    • v.17 no.3
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    • pp.307-326
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    • 2009
  • The present study suggests a concept of resources circulation type agriculture and a concept of a livestock zone related to it and evaluated economical efficiency about a possibility of the resources circulation type livestock zone based on the concept. As a result, when the resources circulation type livestock zone is operated in an area of 1,300ha, it was evaluated that the profit of 11,244 hundred thousand won per year is generated, compared to the conventional agriculture. When light and heat expenses and roughage of Hanwoo production, production of TMR forage as well as income of the energy and composting business of livestock manure at the recycling center were considered in addition to that, it was judged that the present zone development bushiness has enough business feasibility. However, it is necessary that the support regulations, etc. is constructed so that all produced compost byproducts are used at farmhouses and the system related to facility investment assurance and assistance of operating expenses is maintained. It is thought that the complement of a system is also necessary so that energy or power generation expenses can be operated in the same conditions as other new & renewable energy, and the nation's purchase of carbon credits(CDM) is investigated and systemized in the early period, and construction of a revitalization plan of the business through budget securing of the Ministry of Agriculture and Forestry related to the trade of CDM and carbon emission rights is also a business that should be urgently developed. In the future, the change of an outside environment will further promote use of the energy. Also, as people, who don't know agriculture. farm village, increase day by day because of population concentration in a city, an opportunity that can new added value through experience tourism or educational programs utilizing them is increasing. Accordingly, if programs utilizing social characteristics, such as utilization as a space of tourism. leisure. experience, system construction of bio-energy and system construction that Micro Grid or Smart Grid as a dispersed storage and generation system is stabilized, are constructed, it can be said that revitalization or success conditions of the zone is further achieved.

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A plan to Improve the Ratio of CPR done by the General Public using Smart-phone Location-Based Service APPs (스마트폰의 위치기반서비스 앱을 활용한 일반인 심폐소생술 시행률 향상방안)

  • Han, Seungtae
    • Journal of the Society of Disaster Information
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    • v.11 no.2
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    • pp.183-190
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    • 2015
  • When patients have acute cardiac arrest before they are hospitalized, the ratio of CPR done by the general public is directly related to patient survival ratio. However, compared with that of advanced nations, our nation has low patient survival ratio due to its low ratio of CPR done by the general public. To improve this situation, the current study conducted a pre-survey targeting 3,800 general public to find how to apply an emergent medical system using smart phone location-based service. According to its outcome, first, they have a high level of CPR experience while their recognition of CPR generality is low. Second, their self-confidence in doing CPR significantly differ according to their age, academic achievement and occupation yet with generally low self-confidence. Third, their participation in the emergent medical system using location-based service APPs is high, and has co-relation to their will for CPR, self-confidence in CPR and experience in CPR training.

Analysis of News Regarding New Southeastern Airport Using Text Mining Techniques (텍스트 마이닝 기법을 활용한 동남권 신공항 신문기사 분석)

  • Han, Mu Moung Cho;Kim, Yang Sok;Lee, Choong Kwon
    • Smart Media Journal
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    • v.6 no.1
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    • pp.47-53
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    • 2017
  • Social issues are important factors that decide government policy and newspapers are critical channels that reflect them. Analysing news articles can contribute to understanding social issues, but it is very difficult to analyse the unstructured large volumes of news data manually. Therefore, this study aims to analyze the different views among stakeholders of a specific social issue by using text analysis, word cloud analysis and associative analysis methods, which systematically transform unstructured news data into structured one. We analyzed a total of 115 news articles and a total of 6,772 comments, collected from the selected newspapers (Chosun-Il-bo, Joongang-Il-bo, Donga-Il-bo, Maeil Newspaper, Busan-Il-bo) for two weeks. We found that there are significant differences in tone between newspapers. While nation-wide daily newspapers focus on political relations with local areas, local daily newspapers tend to write articles to represent local governments' interests.

A Study on the Concept of the Cyber Warfare and the Plan of Reaction (사이버전의 개념과 대응방안에 관한 연구)

  • Park, Chan-soo;Park, Yongsuk
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.521-524
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    • 2014
  • Because of the development of computers and networks, the use of the internet has been rapidly increased. The smart devices, such as smart phones and tablet PCs, have made an epoch-making changes, which have brought people's daily lives to the cyber world and life values have been improved. The cyber world not only just changed individual's lives, but also affected all areas and the world. The recent global trends reside mainly in protection of energy sources, and nation's dependency of the information system such as politic, economic and national security. Since major national infrastructure becomes a stragic attack target, the importance of cyber warfare has rised as an effective way to attact enermy. This article explores the concept of cyber warfare and national cyber capability, and then figure out the plan of reaction to minimize damages with best protection when cyber warfare occurs.

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A Study on Smart Eco-city and Ubiquitous Administrative Spatial Informatization : In terms of Water Pollution and Disaster Prevention of Busan Ecodeltacity (스마트생태도시와 유비쿼터스 행정공간정보화연구 -부산 에코델타시티 수질오염 재난방재 측면에서-)

  • Lee, Sang-Yun;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.9
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    • pp.827-840
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    • 2016
  • In recent years, our society, because of the arrival of a new paradigm according to the rapid changes in ICT has entered into future smart society and the ubiquitous era. So it can be a notable turning point in the city disaster prevention system with big data, aspects of the era change. Therefore, this study was to derive a desirable vision for the big data city disaster prevention informatization in terms of ICT city disaster prevention system development as preparedness for the city disaster by applying 'scenario planning' as a foresight method. Soon this study derived a successful city disaster prevention informatization strategy as preparedness for the city disaster, for example, in terms of water pollution and disaster prevention of Busan Ecodeltacity. It proposed the big data city disaster prevention informatization system with the use of the administrative aspects of information with spatial informatization as big data information. Also this study explored the future leadership strategy of the big data city disaster prevention informatization in smart society and smart eco-city. Eventually in 2030 to around, in order to still remain our city disaster prevention informatization as a leading ICT nation, this study suggested the following strategy. It is important to ready the advanced ubiquitous administrative spatial informatization and ICT disaster prevention system with big data in terms of water pollution and disaster prevention of Busan Ecodeltacity.

The Analysis Methods Based on Patent Citation Networks for the Convergence Technologies Development Planning : A Case of Smart Factory's ICT Technologies (융합기술 개발전략 기획을 위한 특허 인용 네트워크 기반의 분석 방법론 : 스마트공장 ICT 기술을 중심으로)

  • Lee, Hyun-Min;Kim, Sun-Jae;Kim, Hong-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.34-47
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    • 2018
  • As interest in advanced countries regarding the convergence technology development increases, a methodology for identifying the core convergence technology that has a large spill-over effect on the technology and industry is required for the nation's competitiveness enhancement in the convergence technology field. Based on patent citation network analysis using 1,124 USPTO patents in the ICT convergence technology field of the smart factory, this study examined the proposed heterogeneous technology convergence index as a tool for measuring the convergence characteristics of the spillovers compared to other indexes (i.e. other sector ratio index and homogeneous technology convergence index). The proposed heterogeneous technology convergence index was used to investigate core technology sectors among ICT technology sectors of smart factory identified by government ministries. Results found 6 core ICT convergence technology sectors including the manufacturing execution analysis application sector. Also, this study conducted blockmodeling analysis using the IPC codes of patents in the manufacturing execution analysis application sector, and identified that the blocks representing the electronic communication and electric digital data processing technology sectors (Block 3 & 4) are related technology sectors which can be converged with core technology. Based on the findings, the implications for the convergence technology development planning of the smart factory field are discussed.

Category Variable Selection Method for Efficient Clustering

  • Heo, Jun;Kim, Chae Yun;Jung, Yong-Gyu
    • International journal of advanced smart convergence
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    • v.2 no.2
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    • pp.40-42
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    • 2013
  • Recent medical industry is an aging society and the application of national health insurance, with state-of-the-art research and development, including the pharmaceutical market is greatly increased. The nation's health care industry through new support expansion and improve the quality of life for the research and development will be needed. In addition, systemic administration of basic medical supplies, or drugs are needed, the drug at the same time managing how systematic analysis of pharmaceutical ingredients, based on data through the purchase of new medicines and pharmaceutical ingredients automatically classified by analyzing the statistics of drug purchases and the future a system that can predict a patient is needed. In this study, the drugs to the patient according to the component analysis and predictions for future research techniques, k-means clustering and k-NN (Nearest Neighbor) Comparative studies through experiments using the techniques employ a more efficient method to study how to proceed. In this study, the effects of the drugs according to the respective components in time according to the number of pieces in accordance with the patient by analyzing the statistics by predicting future patient better medical industry can be built.

Artificial neural network algorithm comparison for exchange rate prediction

  • Shin, Noo Ri;Yun, Dai Yeol;Hwang, Chi-gon
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.125-130
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    • 2020
  • At the end of 1997, the volatility of the exchange rate intensified as the nation's exchange rate system was converted into a free-floating exchange rate system. As a result, managing the exchange rate is becoming a very important task, and the need for forecasting the exchange rate is growing. The exchange rate prediction model using the existing exchange rate prediction method, statistical technique, cannot find a nonlinear pattern of the time series variable, and it is difficult to analyze the time series with the variability cluster phenomenon. And as the number of variables to be analyzed increases, the number of parameters to be estimated increases, and it is not easy to interpret the meaning of the estimated coefficients. Accordingly, the exchange rate prediction model using artificial neural network, rather than statistical technique, is presented. Using DNN, which is the basis of deep learning among artificial neural networks, and LSTM, a recurrent neural network model, the number of hidden layers, neurons, and activation function changes of each model found the optimal exchange rate prediction model. The study found that although there were model differences, LSTM models performed better than DNN models and performed best when the activation function was Tanh.

The Prediction of Total Revenue of V2G System Considering Battery Wear Cost (배터리 열화비용을 고려한 V2G 시스템의 수익예측)

  • Won, Il-Kuen;Kim, Do-Yun;Ko, An-Yeol;Shin, Chang-Hyun;Hwang, Jun-Ha;Kim, Young-Real;Won, Chung-Yuen
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.29 no.4
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    • pp.85-94
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    • 2015
  • Recently, research on the smart grid that combines ICT(Information & Communication technology) to the power system has been actively progressed. If the occupancy of the EV(Electric vehicle) is increased. the V2G(Vehicle to grid) system is available which constitutes the micro-grid through battery of EV. V2G system performs load leveling and efficient energy consumption by battery operation considering load condition. But, if the battery is used only depending on the electricity rates, it doses not consider the life of the battery. The ACC(Achievable cycle) and the total transferable energy of battery varies corresponding to the selected DOD(Depth of discharge). In this paper, the optimal DOD selection method of V2G system considering battery wear cost and average driving distance of EV. Also, the total revenue prediction of various nation is presented considering the actual electricity costs per hour.

Patent Information Analysis of Cycling Wear (사이클 의류의 특허정보 분석)

  • Kim, Chunjeong;Choi, Kyeyoun
    • Journal of the Korean Society of Clothing and Textiles
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    • v.41 no.5
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    • pp.901-913
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    • 2017
  • This study analyzed the current state of art by investigating related patents of cycling wear, and suggested fundamental data to develop clothing - originated in Korea. Patent trends were then analyzed after the related patents applied in Korea, USA, and Japan from 1975 to 2015 were extracted using WIPS ON, classified as nation, applicant, technology, use, and technological maturity of the applicant country. The number of patent applications has steadily increased since the 1990s, and has steeply grown since the 2000s. The USA accounted for 55.6% of all collected patents in the study, Japan for 30.6%, and Korea for 13.7%. Technologies related to patterns and functional materials have been dominated by the USA and Japan; however, smart technologies have been actively developed in Korea. According to use, USA focused on functionality, Korea concentrated on safety, and Japan uniformly combined functionality, safety, and convenience. According to the positioning of technology by application, water repellency, stretchability, muscle strengthening, pad, panel, finishing, and weaving technologies were positioned in the functionality.