• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.2
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• pp.133-138
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• 2013

This paper addresses a state consensus controller design technique of Takagi-Sugeno fuzzy model-based multi-agent systems in a continuous-time domain. We express the interconnection topology among the agents through graph theory. The design condition is represented in terms of linear matrix inequalities. Numerical example is provided to demonstrate the effectiveness of the proposed method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.409-411
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• 2014

There have been various advanced research on how changes of analysts' profit forecasts affect stock prices. Also, consensus, which is usually drawn by the arithmetic mean of profit forecasts, has been widely harnessed among investors in stock market. Recently, it is emphasized to reflect the internal factors of individual forecasts to raise the accuracy of consensus. Based on national and international research, this study proposes a new methodology in consensus by applying statistically meaningful factors in computation.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.53-67
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• 2022

The study's goal is to look at the factors that influence people's willingness to whistleblow in the Malaysian public sector by applying two elements from the Moral Intensity Theory: the magnitude of consequences and societal consensus with professional commitment as an additional variable. The cross-sectional study used primary data collection through questionnaires adopted from previous studies. The survey questionnaires were distributed to target respondents from 27 ministries in Malaysian public sectors selected based on their grade positions in the departments ranging from Grade 29 and above. The findings revealed that societal consensus and professional commitments significantly impact the intention to whistleblow. The findings imply that closed people's opinions may have certain persuasive elements that influence the act of whistleblowing as a moral and ethical activity, thereby increasing their whistleblowing intention. The results also suggest that when individuals are more committed to their career and organization, they will act ethically and under the professional norm, hence, they will be inclined to whistleblow. On the other hand, the magnitude of consequences suggested an insignificant relationship with the intention to whistleblow. The results could facilitate the government in curbing the whistleblowing issue by defining its root before the implementation of necessary policies.

• 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 Korea Journal of Herbology
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• v.34 no.6
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• pp.33-44
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• 2019

Objectives : This study aims to record and conserve oral traditional knowledge of medicinal animals from the indigenous people living in the local communities of Songnisan National Park, Korea. Methods : Data was collected by participatory observations and in-depth interviews with semi-structured questionnaires. Quantitative comparative analyses were accomplished through data received from the following three methods: informant consensus factor (ICF), fidelity level (FL), and network analysis. Results : The investigation reveals that the indigenous people have used 49 species of medicinal animals distributed within 45 genera, belonging to 39 families with 336 different usages. According to the distribution of recorded families, the most representative families were Scolpendridae and Phasianidae, which were utilized 36 times each (10.71 % each). The category with the highest degree of consensus from informants was disorders related to the nervous system (0.97). 16 species were classified with a fidelity level of 100 %. The network analysis revealed that a lack of vigor was related to 23 species, including Agkistrodon blomhoffii, Gallus domesticus, and Canis familiaris, among the total 49 species investigated. Conclusions : This documentation can help preserve the traditional knowledge and local health traditions of Korea that are disappearing due to rapid industrialization, urbanization, and death of the elderly with traditional knowledge. Additionally, the animals investigated in this study can be developed into medicinal food and drug for treating specific health conditions through further research.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.128-134
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• 2023

The widespread usage of blockchain technology in cryptocurrencies has led to the adoption of the blockchain concept in data storage management systems for secure and effective data storage and management. Several innovative studies have proposed solutions that integrate blockchain with distributed databases. In this article, we review current blockchain databases, then focus on two well-known blockchain databases-BigchainDB and FalconDB-to illustrate their architecture and design aspects in more detail. BigchainDB is a distributed database that integrates blockchain properties to enhance immutability and decentralization as well as a high transaction rate, low latency, and accurate queries. Its architecture consists of three layers: the transaction layer, consensus layer, and data model layer. FalconDB, on the other hand, is a shared database that allows multiple clients to collaborate on the database securely and efficiently, even if they have limited resources. It has two layers: the authentication layer and the consensus layer, which are used with client requests and results. Finally, a comparison is made between the two blockchain databases, revealing that they share some characteristics such as immutability, low latency, permission, horizontal scalability, decentralization, and the same consensus protocol. However, they vary in terms of database type, concurrency mechanism, replication model, cost, and the usage of smart contracts.

• Safety and Health at Work
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• v.13 no.4
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• pp.408-414
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• 2022

Background: This study aimed to determine and define the elements of an Fatigue Risk Management System (FRMS) diagnostic tool to assist an organization in systematically assessing its level of implementation of an FRMS. Methods: A modified Delphi process was used involving 16 participants with expertise in sleep science, chronobiology, and fatigue risk management within occupational settings. The study was undertaken in two stages 1) review of elements and definitions; 2) review of statements for each element. Each stage involved an iterative process, and a consensus rule of ≥ 60% was applied to arrive at a final list of elements, definitions, and statements. Results: Stage 1: a review of elements (n = 12) and definitions resulted in a final list of 14 elements and definitions with a consensus of ≥ 60% achieved after 2 Delphi rounds. Stage 2: a review of statements (n = 131) resulted in a final list of 119 statements with a consensus of ≥ 60% achieved after 2 Delphi rounds. Conclusion: The final FRMS diagnostic tool will enable an organization to systematically assess the level of implementation of their current FRMS and identify gaps and opportunities to reduce risk.

• Korean Journal of Radiology
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• v.24 no.1
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• pp.22-30
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• 2023

Ultrasonography (US) is a primary imaging modality for diagnosing nodular thyroid disease and has an essential role in identifying the most appropriate management strategy for patients with nodular thyroid disease. Standardized imaging techniques and reporting formats for thyroid US are necessary. For this purpose, the Korean Society of Thyroid Radiology (KSThR) organized a task force in June 2021 and developed recommendations for standardized imaging technique and reporting format, based on the 2021 KSThR consensus statement and recommendations for US-based diagnosis and management of thyroid nodules. The goal was to achieve an expert consensus applicable to clinical practice.

• Child Health Nursing Research
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• v.30 no.2
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• pp.142-153
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• 2024

Purpose: This study aimed to describe the process of developing a validated pediatric nursing simulation scenario template using the real-time Delphi method. Methods: A panel of 13 pediatric nursing experts participated in a real-time Delphi survey conducted over two rounds. Initially, 83 items were included in the questionnaire focusing on the structure and content of the simulation scenario template. Data analysis involved calculating the content validity ratio (CVR) and the coefficient of variation to assess item validity and stability. Results: Through iterative rounds of the Delphi survey, a consensus was reached among the experts, resulting in the development of a pediatric nursing simulation scenario template comprising 41 items across nine parts. The CVR values ranged from 0.85 to 1.0, indicating a high consensus among experts regarding the inclusion of all items in the template. Conclusion: This study presents a novel approach for developing a pediatric nursing simulation scenario template using real-time Delphi methods. The real-time Delphi method facilitated the development of a comprehensive and scientifically grounded pediatric nursing simulation scenario template. Our template aligns with the International Nursing Association for Clinical Simulation and Learning standards, and provides valuable guidance for educators in designing effective simulation scenarios, contributing to enhanced learning outcomes and better preparation for pediatric clinical practice. However, consideration of cultural and contextual adaptations is necessary, and further research should explore alternative consensus criteria.

• Journal of Environmental Health Sciences
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• v.50 no.2
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• pp.81-82
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• 2024

Urban air mobility (UAM) is emerging as an innovative transportation solution for cities. However, the potential noise impact on urban life must be carefully examined. Continuous exposure to UAM noise, with its unique frequency characteristics and temporal variability, may adversely affect citizens' health by causing sleep disorders, cardiovascular disease, and cognitive impairmenet, particularly in children. NASA has formed a UAM Noise Working Group to study this issue comprehensively. In Korea, the Seoul Metropolitan Government's UAM demonstration project is expected to accelerate related research and development. Scientific analysis, including noise measurement, prediction modeling, and health impact assessment, must be prioritized. Measures to minimize noise should be established based on this evidence, such as optimizing flight modes, developing noise reduction technologies, and establishing new noise management standards. Transparency and social consensus are crucial throughout this process. Expert review and open communication with civil society are necessary to address related concerns. Sharing demonstration project results and providing opportunities to experience UAM noise through digital twin simulations can help address public concerns and build social consensus. Proactively and scientifically tackling noise issues is essential for the sustainable development and successful integration of UAM into daily life.