• American Studies
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• v.44 no.1
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• pp.81-112
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• 2021

As polarization intensified in the United States, the voting support of the presidential party lawmakers has become the most important source of power for the president. The presidential party has been believed to legalize the president's agenda in a unified government and prevent legislation opposed by the president from being passed by the Congress within a divided government. However, even under party polarization, all the lawmakers and factions of the presidential party have not voted in accordance with the president's policy preferences. Statistical analysis shows that lawmakers who corresponded to the ideology median of the presidential party most strongly supported the president's agendas during the unified government. However, lawmakers with extreme ideologies voted more actively for the president than those with median ones during the divided government. Furthermore, this trend has been amplified regarding ideological factions.

• Journal of Advanced Information Technology and Convergence
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• v.9 no.1
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• pp.89-102
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• 2019

Collagen can be used in building artificial skin replacements for treatment of burns and towards the reconstruction of bone as well as researching cell behavior and cellular interaction. The strength of collagen in connective tissue rests on the characteristics of collagen fibers. 3D confocal imaging of collagen fibers enables the characterization of their spatial distribution as related to their function. However, the image stacks acquired with confocal laser-scanning microscope does not clearly show the collagen architecture in 3D. Therefore, we developed a new method to reconstruct, visualize and characterize collagen fibers from fluorescence confocal images. First, we exploit the tensor voting framework to extract sparse reliable information about collagen structure in a 3D image and therefore denoise and filter the acquired image stack. We then propose to segment the collagen fibers by defining an energy term based on the Hessian matrix. This energy term is minimized by a min cut-max flow algorithm that allows adaptive regularization. We demonstrate the efficacy of our methods by visualizing reconstructed collagen from specific 3D image stack.

• Journal of East Asia Management
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• v.5 no.1
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• pp.33-46
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• 2024

This study examines the relationship between institutional investors' shareholder activism and their performance, focusing particularly on the adoption of stewardship codes. The stewardship code includes guidelines for institutional investors to effectively fulfill the role of trustees and strengthen relationships with investee companies, with core elements such as enhancing shareholder rights. By analyzing the performance of institutional investors following the introduction of stewardship codes, this study aims increase understanding of the motivations behind institutional investors' active shareholder activism and the importance of stewardship codes. The study analyzes the relationship between the introduction of stewardship codes and the fidelity of voting rights exercised by asset management companies. According to the analysis, asset management companies that have adopted stewardship codes demonstrate higher performance compared to those that have not, particularly in terms of ROA performance. The result suggests a positive effect of stewardship adoption.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.199-219
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• 2018

With the everyday use of the Internet and the spread of various smart devices, users have been able to communicate in real time and the existing communication style has changed. Due to the change of the information subject by the Internet, data became more massive and caused the very large information called big data. These Big Data are seen as a new opportunity to understand social issues. In particular, text mining explores patterns using unstructured text data to find meaningful information. Since text data exists in various places such as newspaper, book, and web, the amount of data is very diverse and large, so it is suitable for understanding social reality. In recent years, there has been an increasing number of attempts to analyze texts from web such as SNS and blogs where the public can communicate freely. It is recognized as a useful method to grasp public opinion immediately so it can be used for political, social and cultural issue research. Text mining has received much attention in order to investigate the public's reputation for candidates, and to predict the voting rate instead of the polling. This is because many people question the credibility of the survey. Also, People tend to refuse or reveal their real intention when they are asked to respond to the poll. This study collected comments from the largest Internet portal site in Korea and conducted research on the 19th Korean presidential election in 2017. We collected 226,447 comments from April 29, 2017 to May 7, 2017, which includes the prohibition period of public opinion polls just prior to the presidential election day. We analyzed frequencies, associative emotional words, topic emotions, and candidate voting rates. By frequency analysis, we identified the words that are the most important issues per day. Particularly, according to the result of the presidential debate, it was seen that the candidate who became an issue was located at the top of the frequency analysis. By the analysis of associative emotional words, we were able to identify issues most relevant to each candidate. The topic emotion analysis was used to identify each candidate's topic and to express the emotions of the public on the topics. Finally, we estimated the voting rate by combining the volume of comments and sentiment score. By doing above, we explored the issues for each candidate and predicted the voting rate. The analysis showed that news comments is an effective tool for tracking the issue of presidential candidates and for predicting the voting rate. Particularly, this study showed issues per day and quantitative index for sentiment. Also it predicted voting rate for each candidate and precisely matched the ranking of the top five candidates. Each candidate will be able to objectively grasp public opinion and reflect it to the election strategy. Candidates can use positive issues more actively on election strategies, and try to correct negative issues. Particularly, candidates should be aware that they can get severe damage to their reputation if they face a moral problem. Voters can objectively look at issues and public opinion about each candidate and make more informed decisions when voting. If they refer to the results of this study before voting, they will be able to see the opinions of the public from the Big Data, and vote for a candidate with a more objective perspective. If the candidates have a campaign with reference to Big Data Analysis, the public will be more active on the web, recognizing that their wants are being reflected. The way of expressing their political views can be done in various web places. This can contribute to the act of political participation by the people.

• Journal of the Korea Society of Computer and Information
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• v.27 no.1
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• pp.183-191
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• 2022

The Korea Stewardship Code 'Principles on the Fiduciary Responsibilities of Institutional Investors' was introduced in 2016 and the National Pension Service adopted it in 2018. the National Pension Service casted 'dessent' vote on the agenda which is able to reduce the ownership interest of shareholder in general meeting. This paper examines whether 'dissent' voting affected on the ownership interest of shareholder or not. The 'dissent' vote on the agenda are related to revision artical of corperation, appointment or compensation of director and auditor, approval of financial statements ect. The proxies of earnings management is discretionary accruals calculated by modified Jones model. The control variablies are size of assets, liabilities per assets, returns on assets. The results of this study are as followings. First, the 'dissent' voting on the agenda are related to revision artical of corperation, M&A, approval of financial statements ect. are not significant because their sample size is too small, Second, the 'dissent' voting on appointment of director and auditor affected on reduction of discretionary accruals. So the National Pension Service activism shall affect on increasing the ownership interest of shareholder. Third, the 'dissent' voting on compensation of director and auditor is not affected on reduction of discretionary accruals. This results show that 'unconditional dissent voting' on the agenda in general meeting is not to reduce the ownership interest of shareholder.

• Journal of the Korea Society for Simulation
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• v.30 no.4
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• pp.9-19
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• 2021

Electronic voting has been recognized as an alternative to complement the limitations of existing paper voting. At the same time, security concerns are being raised. This paper presents a blockchain-based electronic voting and survey system that can guarantee reliability. Our smart contract was created using Solidity on Ethereum which is a blockchain-based distributed computing platform, and the system was implemented in connection with the Javascript based user interface. In addition, in order to protect the personal information of participants, the system is generating hash of the personal data and storing the hash of users for the contract data. Since we exploited different kinds of languages for the system, we derived items of functionality testing and presented the functionality testing result. Moreover, we made use of the Chrome's performance evaluation functionality to see the response time of the blockchain-based system. In addition, we compared the performance with the system which has the same functionality on database. The contribution of this research is design and implementation of blockchain-based electronic voting system and presentation of the functionality and performance simulation result.

• Korean Journal of Legislative Studies
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• v.15 no.2
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• pp.67-88
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• 2009

This study aims at examining what factors have an effect on congressional voting behaviors. In particular, the study closely investigates the Whole Reform Bill on the Law of Local Educational Self-Governing because the bill attracts a lot of attentions. Above all, the bill contains direct election of superintendents of educational affairs and members of a board of education. Likewise, the education committee is converted into a standing committee of the local assembly due to the passage of the bill. The reason the study mainly focuses on the bill is because in general, bills on the floor are approved with significant high in favor; however, the bill was passed with opposition. The study examines factors having an influence on legislators' voting decision. Statistical results show that the ruling party played a significant role in passing the bill. Also, the results exhibit that legislators with high careers and proportional members were in favor of the bill compared with other legislators. Although the study examined only particular bill passed by the National Assembly, it gave an opportunity to look at voting behaviors of legislators. Hopefully, the study contributes to the understanding of congressional voting behaviors.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.2804-2807
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• 2011

As computer-based train control system became used widely, reliability and safety assessment of the computer is getting more important. A fault on a computer can cause a malfunction of train control system, and this can lead an accident. So where reliability and safety is highly required TMR is used. In this paper, the method of data sharing and voting for TMR processing is proposed, designed and verified.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.191-194
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• 2003

As internet commerce grows, many company has begun to use a CF (Collaborative Filtering) as a Recommender System. To achieve an accuracy of CF, we need to obtain sufficient account of voting scores from customers. Moreover, those scores may not be consistent. To overcome this problem, we propose a new recommendation scheme using binary user-item matrix, which represents whether a user purchases a product instead of using the voting scores. Through the experiment regarding this new scheme, a better accuracy is demonstrated.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.65-66
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• 2014

본 논문에서는 어떤 주제에 대해 한 공간에 모인 사람들의 의견을 조사하기 위해 실시될 수 있는 모바일 즉석투표 시스템의 개발내용에 대해 기술한다. 이 시스템은 블루투스 스캐터넷 형성을 통해 특정 서버가 갖춰지지 않은 상태에서, 사전 관계가 지어있지 않은 모집단을 대상으로 투표를 실시 할 수 있다.