• Journal of Industrial Convergence
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• v.20 no.6
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• pp.37-45
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• 2022

With the development of the Internet of Things (IoT), related network infrastructures require new technologies to protect against threats such as external hacking. This study proposes an L-PBFT consensus algorithm that can protect IoT networks based on a blockchain consensus algorithm. We designed a blockchain (private) model suitable for small networks, tested processing performance for ultra-small/low-power IoT devices, and verified stability. As a result of performance analysis, L-PBFT proved that at least the number of nodes complies with the operation of the consensus algorithm(minimum 14%, maximum 29%) and establishes a trust network(separation of secure channels) different from existing security protocols. This study is a 4th industry convergence research and will be a foundation technology that will help develop IoT device security products in the future.

• Health Policy and Management
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• v.26 no.4
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• pp.243-245
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• 2016

The 9th Global Conference for Health Promotion has been held in Shanghai after 30 years of the first Global Conference for Health Promotion in Ottawa, Canada. In the conference, the delegated members of the countries declared 'Shanghai Declaration on promoting health in the 2030 Agenda for Sustainable Development.' In the declaration, the delegated members of country had agreed that health is one of the 'most effective markers' of any city's successful sustainable development and contributes to make cities inclusive, safe, and resilient for the whole population and 'health literacy' empowers individual citizens and enables their engagement in collective health promotion action. And in a parallel session 'Mayors Forum,' they had consensus for health city and they adopted 'Shanghai Consensus on Healthy Cities.' They recognized their political responsibility to create the conditions for every resident of every city to lead more healthy, safe, and fulfilling lives and to support the full realization of human potential and capabilities at all ages in the city environment.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.6
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• pp.760-765
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• 2007

The sensor network system which has limited resources is deployed in a wide area and plays an important role of gethering information and monitoring. Generally, fault of sensor nodes which was caused by limited resources and poor environment happens. Futhermore, this fault poses many problems related with required quality of whole network. In this paper, new fault detection algorithm which utilizes both consensus algorithm and localized faulty sensor detection scheme is proposed. To verify the feasibility of the proposed scheme, some simulation and experiment are carried out.

• Asian Journal for Public Opinion Research
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• v.9 no.1
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• pp.3-24
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• 2021

Through an empirical comparative analysis, we found that people in mainland China and Taiwan demonstrate strong similarities in their support for democracy, based on democratic suitability, efficiency, preference, and priority. There are also differences in beliefs about democratic values. Compared to people in mainland China, the Taiwanese have a deeper and more widely shared belief in the principles of participation and pluralism, while the differences between their beliefs in the principles of equality, freedom, and checks and balances are narrow. Furthermore, people in mainland China and Taiwan have a strong similarity in their understanding of democracy, that is, they all present a mixed democratic understanding based on substantive bias. Overall, although the differences between mainland China and Taiwan's democratic practices are reflected in the level of value identification from the perspective of democratic support and democratic understanding, the popular democratic political culture in mainland China and Taiwan still has a relatively broad consensus. Thus, the integration and development of cross-strait relations not only has an increasingly profound social and economic foundation but also considerable consensus and mass support on the political and cultural level.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.6
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• pp.939-950
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• 2011

Eco-friendly development is inevitable for eradicating poverty in developing countries. In order to make Eco-friendly development a worldwide movement, we have to provide education for Eco-friendly development. There are, however, many problems in achieving education for Eco-friendly development. In conducting human education, there should be a certain philosophy as a foundation. The Earth charter, which people from various countries have developed since the World Summit on Eco-friendly Development and on which they have gained an international consensus, including consensus from NGOs, should serve as a foundation to conduct education for peace, human rights and environment. In this paper, I have discussed first the loss of Sustainability, second the loss of the view that human development is the basis for education, third the decline of literacy, fourth the decline of education for women, fifth excessive emphasis on knowledge and rote learning, and sixth the deviation from quality-of-life education.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.24 no.3
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• pp.1-18
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• 2021

England's green belt policy as it delivered its framework to designating the development restriction zones(DRZ) in Korea is the key to address issues which try to change green belt boundary or/and housing development. Therefore it should necessarily be reviewed on the understanding of how England has been formulating a national policy to deal with the issues focusing on opportunities for housing development and recreation. This study explored the discourse and framework of England's green belt policy as well as driver changes of housing development and recreation. Results show several characteristics of England's green belt policy which are civil society consensus on conservation and management, limited small-scale housing development through management of release rates, a systematic procedure for application and approval, open-recreation space expansion and utilisation under the premise of conservation of natural green areas, and management structure by the involvement of NGO organisations. Therefore, five suggestions can be delivered to developing Korea's DRZ frameworks: first, preceding social consensus on the preservation value of development-restricted zones, second, addressing housing shortages in different alternatives e.g.) environmental-friendly small-scale housing, third, institutionalising the total proportion of release, fourth, establishing an open-recreation space, fifth, introducing expanded public-private partnerships. Ultimately securing the legitimacy of the nation's development-restricted zone system can contribute positively to the environment preservation and human health by promoting public leisure activities in terms of the recent increase in external activities caused by the Covid-19 crisis. Concluding remarks are here that the understanding of England's green belt policy can be delivered to and help formulate domestic policy addressing current issues.

• Bulletin of the Korean Chemical Society
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• v.33 no.2
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• pp.717-720
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• 2012

• Atmosphere
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• v.25 no.2
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• pp.375-387
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• 2015

A Selected Multi-model CONsensus (SMCON) technique was developed and verified for the tropical cyclone track forecast in the western North Pacific. The SMCON forecasts were produced by averaging numerical model forecasts showing low 70% latest 6 h prediction errors among 21 models. In the homogeneous comparison for 54 tropical cyclones in 2013 and 2014, the SMCON improvement rate was higher than the other forecasts such as the Non-Selected Multi-model CONsensus (NSMCON) and other numerical models (i.e., GDAPS, GEPS, GFS, HWRF, ECMWF, ECMWF_H, ECMWF_EPS, JGSM, TEPS). However, the SMCON showed lower or similar improvement rate than a few forecasts including ECMWF_EPS forecasts at 96 h in 2013 and at 72 h in 2014 and the TEPS forecast at 120 h in 2013. Mean track errors of the SMCON for two year were smaller than the NSMCON and these differences were 0.4, 1.2, 5.9, 12.9, 8.2 km at 24-, 48-, 72-, 96-, 120-h respectively. The SMCON error distributions showed smaller central tendency than the NSMCON's except 72-, 96-h forecasts in 2013. Similarly, the density for smaller track errors of the SMCON was higher than the NSMCON's except at 72-, 96-h forecast in 2013 in the kernel density estimation analysis. In addition, the NSMCON has lager range of errors above the third quantile and larger standard deviation than the SMCON's at 72-, 96-h forecasts in 2013. Also, the SMCON showed smaller bias than ECMWF_H for the cross track bias. Thus, we concluded that the SMCON could provide more reliable information on the tropical cyclone track forecast by reflecting the real-time performance of the numerical models.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.3
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• pp.25-32
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• 2019

The core of the block chain technology is solving the problem of agreement on double payment, and the PoW, PoS and DPoS algorithms used for this have been studied. PoW in-process proofs are consensus systems that require feasible efforts to prevent minor or malicious use of computing capabilities, such as sending spam e-mail or initiating denial of service (DoS) attacks. The proof of the PoS is made to solve the Nothing at stake problem as well as the energy waste of the proof of work (PoW) algorithm, and the decision of the sum of each node is decided according to the amount of money, not the calculation ability. DPoS is that a small number of authorized users maintain a trade consensus through a distributed network, whereas DPS provides consent authority to a small number of representatives, whereas PoS has consent authority to all users. If PoS is direct democracy, DPoS is indirect democracy. This study aims to contribute to the continuous development of the related field through the study of the algorithm of the block chain agreement.

• The Journal of Bigdata
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• v.7 no.1
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• pp.1-14
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• 2022

The proof-of-work consensus algorithm used by most blockchains is causing a massive waste of computing resources in the form of mining. A useful proof-of-work consensus algorithm has been studied to reduce the waste of computing resources in proof-of-work, but there are still resource waste and mining centralization problems when creating blocks. In this paper, the problem of resource waste in block generation was solved by replacing the relatively inefficient computation process for block generation with distributed artificial intelligence model learning. In addition, by providing fair rewards to nodes participating in the learning process, nodes with weak computing power were motivated to participate, and performance similar to the existing centralized AI learning method was maintained. To show the validity of the proposed methodology, we implemented a blockchain network capable of distributed AI learning and experimented with reward distribution through resource verification, and compared the results of the existing centralized learning method and the blockchain distributed AI learning method. In addition, as a future study, the thesis was concluded by suggesting problems and development directions that may occur when expanding the blockchain main network and artificial intelligence model.