• Journal of the Korea Convergence Society
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• 제7권1호
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• pp.49-55
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• 2016

In a delegate authentication, a user can lend his/her own authentication data to the third parties to let them be authenticated instead of himself/herself. The user authentication schemes based on the memory of unique data such as password, are vulnerable to this type of attack. Biometric authentication could minimize the risk of delegate authentication since it uses the biometric data unique by each person. Group authentication scheme is used to prove that each group member belongs to the corresponding group. For applications such as an electronic voting or a mobile meeting where the number of group members is changing dynamically, a new group authentication method is needed to reflect the status of group in real time. In this paper, we propose biometric authentication based dynamic group signature scheme. The proposed scheme is composed of biometric key generation, group public key creation, group signature generation, group signature verification and member update protocols. The proposed member update protocol is secure against colluding attacks of existing members and could reflect group status in real time.

• Journal of the Korean Regional Science Association
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• 제35권2호
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• pp.3-18
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• 2019

This study aims to analyse the relationship between the sense of community and resident online participation. To solve a variety of social problems in localities, both resident participation and the sense of community have been getting more important. Online voting is a project that is being implemented by the city of Seoul to expand the participation of residents. We surveyed residents living in the apartment complex in Seoul that was participating in with the pilot program for online voting. The empirical analysis shows the sense of community was, indeed, positively related to resident online participation. In particular, shared emotional connection, a component of the sense of community, was the most important factor for the resident online participation.

• Journal of Digital Convergence
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• 제20권1호
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• pp.119-127
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• 2022

In order to analyze the effect of strengthening the disclosure of remuneration for high-paid workers among the measures to improve the governance structure of financial companies by the Financial Services Commission in 2018, this study demonstrated the compensation system, management performance, and improvement of governance for Korean financial companies from 2015 to 2020. Analysis was performed. As a result of the empirical analysis, it was found that financial companies after 2018 decreased the employee compensation disparity and the majority shareholding ratio, while the stock performance and foreign ownership ratio increased. This study has the greatest contribution in that it is the first domestic study to verify the effect of applying the so-called Say on Pay, which discloses management's remuneration and allows shareholders to check its appropriateness through voting.

• Korean Journal of Legislative Studies
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• 제26권3호
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• pp.85-123
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• 2020

Under representative democracy, members of the National Assembly exercise their authority to propose, enact, and revise bills on behalf of the people, and the legislation of such lawmakers has a great impact on individuals and society. There exist criticisms that the quality of legislator-sponsored bills has not improved while the number of them has been expanding recently. This study examines the type, productivity, and efficiency of legislation in the 17~19th National Assembly, and empirical analysis is conducted on how the lawmaker's legislations respond to election-related variables such as voter turnout and election competition. The results show that legislator-sponsored bills are mainly produced in the area of governance, finance, macroeconomic policy, social welfare, and health. The number of legislator's proposals increases, while the passing rate decreases, and the processing period extends. Constituents' participation in voting has been shown to enhance legislative efficiency. Based on the results, the paper emphasizes the enhancement of transparency in the legislative process, the improvement of the people's political knowledge, and the revitalization of election functions for the improvement of parliamentary legislation.

• Korean journal of communication and information
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• 제62권
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• pp.179-199
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• 2013

This study is aimed to draw the meaning and possibility of political participation of the SNS users through a phenomenological analysis of participation and awareness of authentication shot for vote of the users. Especially, the reason for focusing on 'SNS vote authentication shot' is because the creative imagination of the users and the meaning and possibility of collective intelligence are drew while citizens are participating in political activities for themselves. Theory resources are based on technical imagination of Vil$\acute{e}$m Flusser that is concerned with users and political practice in the New Media Era, creative imaginer and discussions of collective intelligence of Pierre L$\acute{e}$vy. Based on these theoretical discussions, it is aimed to select the SNS users experienced in authentication shot for the by-election for mayor of Seoul in 26. Oct. 2011 and to use phenomenological analysis model on materials collected after in-depth interview. The researchers take contextual circumstance into consideration for experiences of study participants sticking to SNS users' opinions and intersubjectivity and approach prejudice of their experiences to untouched structure of phenomenon and meaning. It is because a phenomenological study exploring "the own meaning of 'die Sachen'" is 'strict study' and method focusing on the political participation of SNS users itself.

• Korean Journal of Legislative Studies
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• 제27권2호
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• pp.5-40
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• 2021

In the 4.7 by-election in 2021, the ruling Democratic Party suffered a record devastating defeat, breaking the trend of a post-intermediate evaluation confirmed in the recent election. Why did the Democratic Party lose by a large margin unlike the recent election trend? In order to find answers to these questions, this study analyzes the voting behavior of individual voters based on the voter consciousness survey data conducted after the 4.7 by-election, while examining the background and causes of such voter choices. As a result of the study, in the 4.7 by-election, as confirmed in previous studies, public opinion against the ruling government was strong, and negative elections were held. However, if we look at the process and results of this by-election in more detail, we can see that it is different from the general by-election. In the past by-elections, the government judgement was due to the passive participation of the ruling party-oriented voters in elections with low political weight, or the active judgement psychology that was maximized in situations where the political burden was less. However, in this by-election, on the contrary, in an election with a high political weight, the active judgement psychology of the Democratic Party and non-partisan voters had an effect on strengthening the midterm evaluation character of the election. In addition, it can be seen that the gathering of conservative voters who support the opposition also had a strong influence on the reinforcement of the midterm evaluation character of the election.

• The Journal of Bigdata
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• 제6권2호
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• pp.151-159
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• 2021

Construction of a blockchain network needs a cumbersome and time consuming activity. To overcome these limitations, global IT companies such as Microsoft are providing cloud-based blockchain services. In this paper, we propose a blockchain-based construction and management tool that enables blockchain developers, blockchain operators, and enterprises to deploy blockchain more comfortably in their infrastructure. This tool is implemented using Hyperledger Fabric, one of the famous private blockchain platforms, and Ansible, an open-source IT automation engine that supports network-wide deployment. Instead of complex and repetitive text commands, the tool provides a user-friendly web dashboard interface that allows users to seamlessly set up, deploy and interact with a blockchain network. With this proposed solution, blockchain developers, operators, and blockchain researchers can more easily build blockchain infrastructure, saving time and cost. To verify the usefulness and convenience of the proposed tool, a blockchain network that conducts electronic voting was built and tested. The construction of a blockchain network, which consists of writing more than 10 setting files and executing commands over hundreds of lines, can be replaced with simple input and click operations in the graphical user interface, saving user convenience and time. The proposed blockchain tool will be used to build trust data infrastructure in various fields such as food safety supply chain construction in the future.

• Journal of Intelligence and Information Systems
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• 제29권4호
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• pp.309-323
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• 2023

As the role of online reviews has become increasingly crucial, numerous studies have been conducted to utilize helpful reviews. Helpful reviews, perceived by customers, have been verified in various research studies to be influenced by factors such as ratings, review length, review content, and so on. The determination of a review's helpfulness is generally based on the number of 'helpful' votes from consumers, with more 'helpful' votes considered to have a more significant impact on consumers' purchasing decisions. However, recently written reviews that have not been exposed to many customers may have relatively few 'helpful' votes and may lack 'helpful' votes altogether due to a lack of participation. Therefore, rather than relying on the number of 'helpful' votes to assess the helpfulness of reviews, we aim to classify them based on review content. In addition, the text of the review emerges as the most influential factor in review helpfulness. This study employs text mining techniques, including topic modeling and sentiment analysis, to analyze the diverse impacts of content and emotions embedded in the review text. In this study, we propose a review helpfulness prediction model based on review content, utilizing movie reviews from IMDb, a global movie information site. We construct a review helpfulness prediction model by using an explainable Graph Neural Network (GNN), while addressing the interpretability limitations of the machine learning model. The explainable graph neural network is expected to provide more reliable information about helpful or non-helpful reviews as it can identify connections between reviews.

• Journal of the Korean Society for information Management
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• 제19권4호
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• pp.35-51
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• 2002

Inductive learning and classification techniques have been employed in various research and applications that organize textual data to solve the problem of information access. In this study, we develop hybrid model combination methods which incorporate the concepts and techniques for multiple modeling algorithms to improve the accuracy of text classification, and conduct experiments to evaluate the performances of proposed schemes. Boosted stacking, one of the extended stacking schemes proposed in this study yields higher accuracy relative to the conventional model combination methods and single classifiers.

• Journal of Broadcast Engineering
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• 제7권1호
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• pp.66-75
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• 2002

In this paper, a new wireless internet service for TV is proposed using the detection of a mobile agent of each mobile company Especially. new broadcasting programs like as music charts. quiz games can be serried by a mobile internet phone. In this proposed system, all mobile protocols( WAP, ME. W3C) are supported by one server based on the mobile agent detection of URL over the existed wire and wireless internees.