• Title/Summary/Keyword: network value

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A Study on SNS Records Management (기록관리 대상으로서 SNS 연구)

  • Song, Zoo-Hyung
    • The Korean Journal of Archival Studies
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    • no.39
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    • pp.101-138
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    • 2014
  • This study examined the influence and meaning of SNS as the hot topic of our time from the archival perspective and also studied the 'SNS records management'. The many users mean a high accessibility and utilization of SNS, which increase the influence and value of SNS as a record. Politically, SNS is a tool that strengthens the communication among the voters, politicians and the public while economically, it is a window to accept the complaints of the customers and a marketing tool. In addition, the voices of social minorities are also recorded unlike in the traditional media, which makes the SNS record a method to gain the social variety and diversity. SNS is a place of formation of collective memory and collective memory itself. Furthermore, it can play the role of public sphere. It also is a place for generation of 'big data' in an archival sense. In addition, this study has classified the SNS records management into primary and secondary management that include record management entities, subjects, periods, methods, and causes. This study analyzed the history, status, and the meaning of SNS to assess the values and meanings as the preliminary study for the future SNS record management studies.

A Study on the Typical Characteristics and Conservation Plan of Roadscape as a Modern Asset - Case Study of Yeongdo-gu, Busan - (근대 자산으로서 길에서 보는 경관의 유형적 특성과 경관 보전 방안에 관한 연구 - 영도구를 사례로 -)

  • Kim, Seong-Wan;Kang, Young-Jo
    • Journal of the Korean Institute of Landscape Architecture
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    • v.46 no.6
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    • pp.97-110
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    • 2018
  • This study examined the value of the old roads and roadscapes as modern assets. Topographic maps of the two years (1916 and 1919, which were produced by the Japanese Government-General of Korea) and the digital topographic map produced in 2017, were analyzed. The total amount of roads that have survived for the past 100 years are located in 108 places and total 26.32km. After examining the remnants of the roads in YeongDo, the type of scenery experienced along the roads were classified into nine kinds. The place where a sequential scenery experience takes place due to the survival of the past, the experience is based on the transition of historical scenery, not the scenery of the present time. A new model that can preserve, manage and plan this scenery is required. Therefore, we propose a new landscape model that elevates the concept of gaze from a spatial concept to a spatiotemporal concept. Based on this model, we propose a conservation criterion of the landscape viewed on the road as a viewpoint. As a modern asset for the next 100 years of YeongDo, it is necessary to understand and preserve the meaning of the landscape and roadside scenery as a transit landscape network. The remnant of roads from 100 years ago suggests that the scenery on the road was has been maintained, and it is the historical landscape of the YeongDo area. Through the landscape conservation plan proposed in this study, it is expected that the historical roads and their landscape will be positioned as a modern asset and an aspect of local heritage, and the future conservation and management of the roads and roadscapes will continue.

Quality characteristics of noodles supplemented with rice flour and shell powder (쌀가루와 패각분말을 첨가한 면류의 품질특성)

  • Lee, Jeonggon;Jeong, Gyeong A;Jeong, Jinyi;Lee, Chang Joo
    • Korean Journal of Food Science and Technology
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    • v.51 no.3
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    • pp.221-226
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    • 2019
  • This study investigated the optimal amount of shell powder (0.1, 0.2, 0.3, and 0.4%) to add to rice noodles containing 20% rice flour and compared their quality characteristics to those of wheat noodles containing a commercial alkaline reagent (added at 0.4%). As the amount of shell powder was increased, the L and b values (Hunter's color) increased. The pH, turbidity, and water absorption also increased as the amount of shell powder was increased. However, when the shell powder content exceeded 0.3%, the hardness, chewiness, springiness, and tension tended to decrease below acceptable levels. This might be because the shell powder inhibited network formation. The textural properties and pH value of rice noodles containing 0.2% shell powder were similar to those of the wheat noodles. This suggests that 0.2% shell powder may be the optimal amount to add to rice noodles when used as the alkaline reagent.

Technology Convergence & Trend Analysis of Biohealth Industry in 5 Countries : Using patent co-classification analysis and text mining (5개국 바이오헬스 산업의 기술융합과 트렌드 분석 : 특허 동시분류분석과 텍스트마이닝을 활용하여)

  • Park, Soo-Hyun;Yun, Young-Mi;Kim, Ho-Yong;Kim, Jae-Soo
    • Journal of the Korea Convergence Society
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    • v.12 no.4
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    • pp.9-21
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    • 2021
  • The study aims to identify convergence and trends in technology-based patent data for the biohealth sector in IP5 countries (KR, EP, JP, US, CN) and present the direction of development in that industry. We used patent co-classification analysis-based network analysis and TF-IDF-based text mining as the principal methodology to understand the current state of technology convergence. As a result, the technology convergence cluster in the biohealth industry was derived in three forms: (A) Medical device for treatment, (B) Medical data processing, and (C) Medical device for biometrics. Besides, as a result of trend analysis based on technology convergence results, it is analyzed that Korea is likely to dominate the market with patents with high commercial value in the future as it is derived as a market leader in (B) medical data processing. In particular, the field is expected to require technology convergence activation policies and R&D support strategies for the technology as the possibility of medical data utilization by domestic bio-health companies expands, along with the policy conversion of the "Data 3 Act" passed by the National Assembly in January 2019.

A Study on the Trend of Digital Content Industry (디지털 콘텐츠 산업동향에 관한 연구)

  • BAE, Sung-Pil
    • Industry Promotion Research
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    • v.6 no.2
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    • pp.1-10
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    • 2021
  • The content of the information age does not simply convey content but includes all the transactions that arise from its interaction. The types and forms of information being traded through this interaction are recognized differently from the contents that have been passed on to mankind so far by creating new meaningful content. Because the distribution of interactive content transcending the concept of time-to-time in the network environment is an important component of access to added value in the new world, unlike the content of simple concepts seen in the products of communication so far. In this study, the purpose of this study is to recognize the current status and problems of the Korean digital content industry and to seek ways to revitalize the Korean digital content industry to lead the global market in the future. Specifically, first, we want to learn about the concept of digital content. Second, we would like to look at the industrial trends of digital content at home and abroad. Third, we present a plan to streamline digital content. Fourth, derive research results and implications. In this work, the following results are derived: First, in order for Korea to enter a digital content powerhouse, each government department must first break away from the selfishness of the ministry and actively cooperate to efficiently establish and implement various policies. Second, e-books should be introduced just as current paper and CD-ROM titles are exempt from VAT, and security solutions, related technology development, and copyright issues should be urgently addressed to revitalize the market. Third, the demand for high-quality content should increase as information infrastructure such as high-speed information and communication networks and satellite broadcasting is established.

The Analysis of Changes in East Coast Tourism using Topic Modeling (토핑 모델링을 활용한 동해안 관광의 변화 분석)

  • Jeong, Eun-Hee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.6
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    • pp.489-495
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    • 2020
  • The amount of data is increasing through various IT devices in a hyper-connected society where the 4th revolution is progressing, and new value can be created by analyzing that data. This paper was collected total 1,526 articles from 2017 to 2019 in central magazines, economic magazines, regional associations, and major broadcasting companies with the keyword "(East Coast Tourism or East Coast Travel) and Gangwon-do" through Bigkinds. It was performed the topic modeling using LDA algorithm implemented in the R language to analyze the collected 1,526 articles. It was extracted keywords for each year from 2017 to 2019, and classified and compared keywords with high frequency for each year. It was setted the optimal number of topics to 8 using Log Likelihood and Perplexity, and then inferred 8 topics using the Gibbs Sampling method. The inferred topics were Gangneung and Beach, Goseong and Mt.Geumgang, KTX and Donghae-Bukbu line, weekend sea tour, Sokcho and Unification Observatory, Yangyang and Surfing, experience tour, and transportation network infra. The changes of articles on East coast tourism was was analyzed using the proportion of the inferred eight topics. As the result, the proportion of Unification Observatory and Mt. Geumgang showed no significant change, the proportion of KTX and experience tour increased, and the proportion of other topics decreased in 2018 compared to 2017. In 2019, the proportion of KTX and experience tour decreased, but the proportion of other topics showed no significant change.

An IoT based Green Home Architecture for Green Score Calculation towards Smart Sustainable Cities

  • Kumaran, K. Manikanda;Chinnadurai, M.;Manikandan, S.;Murugan, S. Palani;Elakiya, E.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.7
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    • pp.2377-2398
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    • 2021
  • In the recent modernized world, utilization of natural resources (renewable & non-renewable) is increasing drastically due to the sophisticated life style of the people. The over-consumption of non-renewable resources causes pollution which leads to global warming. Consequently, government agencies have been taking several initiatives to control the over-consumption of non-renewable natural resources and encourage the production of renewable energy resources. In this regard, we introduce an IoT powered integrated framework called as green home architecture (GHA) for green score calculation based on the usage of natural resources for household purpose. Green score is a credit point (i.e.,10 pts) of a family which can be calculated once in a month based on the utilization of energy, production of renewable energy and pollution caused. The green score can be improved by reducing the consumption of energy, generation of renewable energy and preventing the pollution. The main objective of GHA is to monitor the day-to-day usage of resources and calculate the green score using the proposed green score algorithm. This algorithm gives positive credits for economic consumption of resources and production of renewable energy and also it gives negative credits for pollution caused. Here, we recommend a green score based tax calculation system which gives tax exemption based on the green score value. This direct beneficiary model will appreciate and encourage the citizens to consume fewer natural resources and prevent pollution. Rather than simply giving subsidy, this proposed system allows monitoring the subsidy scheme periodically and encourages the proper working system with tax exemption rewards. Also, our GHA will be used to monitor all the household appliances, vehicles, wind mills, electricity meter, water re-treatment plant, pollution level to read the consumption/production in appropriate units by using the suitable sensors. These values will be stored in mass storage platform like cloud for the calculation of green score and also employed for billing purpose by the government agencies. This integrated platform can replace the manual billing and directly benefits the government.

A Reconsideration of Christian Democratic Civility in the New Normal Era (뉴노멀 시대의 기독교 민주적 시민성 재고)

  • Bong, Won Young
    • The Journal of the Korea Contents Association
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    • v.20 no.12
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    • pp.567-581
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    • 2020
  • While Coronavirus (COVID-19) is popular all over the world, democratic citizenship is strongly highlighted as a factor that has enabled the Republic of Korea to successfully prevent it. Democratic citizenship can also be understood as a civility, which means respecting the individual's individuality, value and freedom, but at the same time pursuing common good based on healthy relationships with others in the community. It is true that despite the need for modern Christianity to practice this civility more gracefully and politely in the public sphere, some churches and Christians have failed to show it during the Corona crisis. Under these circumstances, this study made the following suggestions for the realization of communality through the practice of democratic citizenship beyond the privatization of modern Christianity. First, Christianity needs recognition as a public church and theological establishment of it. Second, modern Christianity needs to recognize the importance of a network society and practice public good more than ever. Third, modern Christianity should be able to provide a new lifestyle for the development of public character in the community. So the New Normal-era church should be able to restore its original churchlikeness by having a Christian identity and communicating gentlemanly in the public domain.

Comparative Analysis by Batch Size when Diagnosing Pneumonia on Chest X-Ray Image using Xception Modeling (Xception 모델링을 이용한 흉부 X선 영상 폐렴(pneumonia) 진단 시 배치 사이즈별 비교 분석)

  • Kim, Ji-Yul;Ye, Soo-Young
    • Journal of the Korean Society of Radiology
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    • v.15 no.4
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    • pp.547-554
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    • 2021
  • In order to quickly and accurately diagnose pneumonia on a chest X-ray image, different batch sizes of 4, 8, 16, and 32 were applied to the same Xception deep learning model, and modeling was performed 3 times, respectively. As a result of the performance evaluation of deep learning modeling, in the case of modeling to which batch size 32 was applied, the results of accuracy, loss function value, mean square error, and learning time per epoch showed the best results. And in the accuracy evaluation of the Test Metric, the modeling applied with batch size 8 showed the best results, and the precision evaluation showed excellent results in all batch sizes. In the recall evaluation, modeling applied with batch size 16 showed the best results, and for F1-score, modeling applied with batch size 16 showed the best results. And the AUC score evaluation was the same for all batch sizes. Based on these results, deep learning modeling with batch size 32 showed high accuracy, stable artificial neural network learning, and excellent speed. It is thought that accurate and rapid lesion detection will be possible if a batch size of 32 is applied in an automatic diagnosis study for feature extraction and classification of pneumonia in chest X-ray images using deep learning in the future.

A Study on Establishing Strategy of Living Lab Utilization to Enhance Energy Sector Innovation (에너지 섹터의 혁신성 제고를 위한 리빙랩 활용 전략 수립에 관한 연구)

  • Choi, Kwang Hun;Kwon, Gyu Hyun
    • Journal of Technology Innovation
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    • v.29 no.1
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    • pp.1-38
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    • 2021
  • In this paper, an exploratory analysis study was conducted on establishing a strategy to utilize living labs to enhance the innovation of the energy sector. Through the previous research literature, it was possible to confirm the concept, essential components, innovation characteristics of living labs, and types of innovation issues in the energy sector as the theoretical background. Based on this, the case studies of energy living lab (8 overseas, 1 domestic) were analyzed focusing on the possibility of utilizing living lab as an approach to innovation issues in the energy sector, establishing a customized strategy for essential components of living lab and enhancing innovation. It was confirmed that the establishment of a customized strategy for the essential components of the living lab could be a driving force in enhancing innovation, and the Living Lab is effectively used as an approach method for innovation issues(demand management, supply technology, enhance R&D acceptance and promote commercialization, technology policies) in the energy sector. As a result of the case studies, the driving force of each living lab was derived from the viewpoint of contributing to innovation, and strategies for using the living labs for each energy innovation problem were established. This study is an exploratory and descriptive analytical study of the utilization strategy and value of the living lab model as an approach to innovation issues in the energy field, which can provide a living lab strategy framework that has not been tried in the past and enables living lab activation and network formation. It can also be considered to have academic, practical, and policy implications in that it can also contribute.