• Title/Summary/Keyword: 사전투표

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A Study on Correlation of Voting Behavior and Attitude and Vote Intention in the Poll Survey (사전 태도 및 투표 의향과 실제 투표행동간 상관성 연구)

  • Lee, Kay-O;Jang, Deok-Hyun
    • Survey Research
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    • v.12 no.1
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    • pp.1-30
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    • 2011
  • The purposes of the present study were to analyze correlation of vote behavior and attitude and vote intention in the pre-survey, and to investigate the efficient method of predicting the voting result from the pre-surveys. The previous attitude is measured by the support for the candidate, political self-confidence, self-efficacy and opinion on present issues. The vote intention is surveyed by the past election participation and degree of election interest. Real voting behavior is surveyed by the post enumeration, and the pre-survey and both post-survey are conducted to the same person to analyze the correlation of voting behavior and pre-survey. The real election participation is highly correlated with vote intention, election interest and past election participation. Almost respondents did not change the supporting candidate from the poll survey to the election vote. It is shown that the voting behavior at election of the nonrespondent of pre-survey can be predicted with the demographic charater and attitude of present issues.

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Spatial Autocorrelation and the Turnout of the Early Voting and Regular Voting: Analysis of the 21st General Election at Dong in Seoul (공간적 자기상관성과 관내사전투표와 본투표의 투표율: 제21대 총선 서울시 동별 분석)

  • Lim, Sunghack
    • Korean Journal of Legislative Studies
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    • v.26 no.2
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    • pp.113-140
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    • 2020
  • This study is meaningful in that it is the first analysis of Korean elections using the concept of spatial autocorrelation. Spatial autocorrelation means that an event occurring in one location in space has a high correlation with an event occurring in the surrounding area. The voter turnout rate in the 21st general election of Seoul area was divided into the early-voting turnout and voting-day turnout, and the spatial pattern of the turnout was examined. Most of the previous studies were based on the unit of the precinct and personal data, but this study analyzed on the basis of the lower unit, Eup-myeon-dong, and analyzed using spatial data and aggregate data. Moran I index showed a fairly high spatial autocorrelation of 0.261 in the voting-day turnout, while the index of the early-voting turnout was low at 0.095, indicating that there was little spatial autocorrelation despite statistical significance. The voting-day turnout, which showed strong spatial autocorrelation, was compared and analyzed using the OLS regression model and the spatial statistics model. In the general regression model, the coefficient of determination R2 rose from 0.585261 to 0.656631 in the spatial error model, showing an increase in explanatory power of about 7 percentage points. This means that the spatial statistical model has high explanatory power. The most interesting result is the relationship between the early-voting turnout and the voting-day turnout. The higher the early-voting turnout is, the lower the voting-day turnout is. When the early-voing turnout increases by about 2%, the voting-day turnout drops by about 1%. In this study, the variables affecting the early-voting turnout and the voting-day turnout are very different. This finding is different from the previous researches.

서비스 현실화에 중점을 둔 인터넷 전자 투표 시스템

  • 이래;이동훈
    • Review of KIISC
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    • v.14 no.5
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    • pp.8-18
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    • 2004
  • 현재까지 전자투표 프로토콜이 다수 제안되었으나, 선거관리자의 부정 투표, 부정 개표를 투표자 입장에서 막거나 예방할 수 있는 장치들이 부족했다. 이러한 문제들을 단순히 가정(assumption)으로 단정한 후 설계된 프로토콜들은 현실적으로 적용하기에 큰 어려움이 따른다. 어떤 시스템이든 실질적인 서비스가 가능하도록 설계되기 위해서는 현실적인 가정에 근거해야 한다. 본 논문에서 제안하는 시스템은 비현실적인 가정에 의존하지 않고 투표서버와 개표서버의 부정행위를 사전에 예방할 수 있다. 또, 기존 암호 라이브러리를 그대로 사용할 수 있고 국내 PKI와의 연동이 쉬워 "주민투표제"와 전자정부 성격에 부합되는 시스템이다. ElGamal암호 알고리즘, Schnorr 은닉암호와 같이 연산량을 많이 요구하고 암호문이 기하급수적으로 증가되는 알고리즘을 사용하지 않아 계산적으로도 효율적이며, 투표자가 개표결과에 자신의 투표 내용이 올바르게 반영되었는지 확인할 수 있는 안전한 전자투표 시스템이다.자투표 시스템이다.

A Mobile Ad-hoc Voting System by Scatternet Formation in Bluetooth (블루투스 스캐터넷 형성을 통한 모바일 즉석투표시스템)

  • Kim, Dongju;Lee, Hongrae;Moon, Mikyeong
    • 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.

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Building a Korean Sentiment Lexicon Using Collective Intelligence (집단지성을 이용한 한글 감성어 사전 구축)

  • An, Jungkook;Kim, Hee-Woong
    • Journal of Intelligence and Information Systems
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    • v.21 no.2
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    • pp.49-67
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    • 2015
  • Recently, emerging the notion of big data and social media has led us to enter data's big bang. Social networking services are widely used by people around the world, and they have become a part of major communication tools for all ages. Over the last decade, as online social networking sites become increasingly popular, companies tend to focus on advanced social media analysis for their marketing strategies. In addition to social media analysis, companies are mainly concerned about propagating of negative opinions on social networking sites such as Facebook and Twitter, as well as e-commerce sites. The effect of online word of mouth (WOM) such as product rating, product review, and product recommendations is very influential, and negative opinions have significant impact on product sales. This trend has increased researchers' attention to a natural language processing, such as a sentiment analysis. A sentiment analysis, also refers to as an opinion mining, is a process of identifying the polarity of subjective information and has been applied to various research and practical fields. However, there are obstacles lies when Korean language (Hangul) is used in a natural language processing because it is an agglutinative language with rich morphology pose problems. Therefore, there is a lack of Korean natural language processing resources such as a sentiment lexicon, and this has resulted in significant limitations for researchers and practitioners who are considering sentiment analysis. Our study builds a Korean sentiment lexicon with collective intelligence, and provides API (Application Programming Interface) service to open and share a sentiment lexicon data with the public (www.openhangul.com). For the pre-processing, we have created a Korean lexicon database with over 517,178 words and classified them into sentiment and non-sentiment words. In order to classify them, we first identified stop words which often quite likely to play a negative role in sentiment analysis and excluded them from our sentiment scoring. In general, sentiment words are nouns, adjectives, verbs, adverbs as they have sentimental expressions such as positive, neutral, and negative. On the other hands, non-sentiment words are interjection, determiner, numeral, postposition, etc. as they generally have no sentimental expressions. To build a reliable sentiment lexicon, we have adopted a concept of collective intelligence as a model for crowdsourcing. In addition, a concept of folksonomy has been implemented in the process of taxonomy to help collective intelligence. In order to make up for an inherent weakness of folksonomy, we have adopted a majority rule by building a voting system. Participants, as voters were offered three voting options to choose from positivity, negativity, and neutrality, and the voting have been conducted on one of the largest social networking sites for college students in Korea. More than 35,000 votes have been made by college students in Korea, and we keep this voting system open by maintaining the project as a perpetual study. Besides, any change in the sentiment score of words can be an important observation because it enables us to keep track of temporal changes in Korean language as a natural language. Lastly, our study offers a RESTful, JSON based API service through a web platform to make easier support for users such as researchers, companies, and developers. Finally, our study makes important contributions to both research and practice. In terms of research, our Korean sentiment lexicon plays an important role as a resource for Korean natural language processing. In terms of practice, practitioners such as managers and marketers can implement sentiment analysis effectively by using Korean sentiment lexicon we built. Moreover, our study sheds new light on the value of folksonomy by combining collective intelligence, and we also expect to give a new direction and a new start to the development of Korean natural language processing.

Blind Signature Protocol Based Rabin-Type (Rabin 기반의 은닉 서명 프로토콜)

  • 황성민;최영근;김순자
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04a
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    • pp.847-849
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    • 2001
  • 전자현금(Electronic Cash)이나 전자투표(Electornic Vote)에의 응용을 목적으로 Chaum에 의해 처음으로 RSA 기반의 은닉서명(Blind Signature) 개념을 제안하였다[1]. 휴대폰, 스마트카드와 같은 작은 용량의 메모리와 연산 능력을 가진 장치에서는 연산량이 작은 은닉서명 프로토콜을 필요로 한다. 본 논문에서는 사전계산과 효율적인 이차잉여 선택 방법을 이용하여 Rabin 기반 전자서명 방법에 은닉서명 개념을 도입하여 효율적인 Rabin 기반의 은닉 서명 프로토콜을 제안한다.

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Generalized Hough Transform using Internal Gradient Information (내부 그레디언트 정보를 이용한 일반화된 허프변환)

  • Chang, Ji Young
    • Journal of Convergence for Information Technology
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    • v.7 no.3
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    • pp.73-81
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    • 2017
  • The generalized Hough transform (GHough) is a useful technique for detecting and locating 2-D model. However, GHough requires a 4-D parameter array and a large amount of time to detect objects of unknown scale and orientation because it enumerates all possible parameter values into a 4-D parameter space. Several n-to-1 mapping algorithms were proposed to reduce the parameter space from 4-D to 2-D. However, these algorithms are very likely to fail due to the random votes cast into the 2-D parameter space. This paper proposes to use internal gradient information in addition to the model boundary points to reduce the number of random votes cast into 2-D parameter space. Experimental result shows that our proposed method can reduce both the number of random votes cast into the parameter space and the execution time effectively.

Relationship between orders of signs and vote within parties in electing local district councilors during the 7th nationwide local election (제7회 전국동시지방선거 중 기초의원선거에서의 정당 내 기호 순서와 득표 순서의 관계 분석)

  • Kim, Hyuk Joo
    • The Korean Journal of Applied Statistics
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    • v.31 no.6
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    • pp.825-833
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    • 2018
  • We examined the relationship between the order of signs and the order of vote within parties in electing local district councilors during the 7th nationwide local election held on June 13th, 2018. We analyzed election data for respective cases that include two, three, four candidates within the same party. In most cases, the candidate with sign 'Ga' gained more than other candidates in the same party, showing a need for provisional measures. In addition, a difference in voting tendency was found between in-house voting and early outside voting when there were two candidates in the Democratic Party of Korea as well as for when there were two candidates in the Liberty Korea Party.

Dynamic Role Combination and Assignment in Real-time, Multi-Agent Environments (실시간 다중 에이전트 환경에서 동적 역할 조합과 배정)

  • Park, Gun-Soo;Kwon, Ki-Duk;Kim, In-Cheol
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.05a
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    • pp.329-332
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    • 2003
  • 현재의 일반적인 다중에이전트 시스템 환경은 실시간이며 복잡한 환경을 제공한다. 또한 제한적인 통신 환경을 제공한다. 본 논문의 테스트 환경인 Unreal Tournament 의 환경은 일반적인 다중 에이전트 시스템 환경을 제공한다. UT 게임의 GameBots 시스템에서 실시간 다중 에이전트 협상 시스템의 구현을 위한 ACL (Agent Communication Language) 을 정의하였으며 그에 따른 다중 에이전트 협상 프로토콜을 정의하였다. 통신 환경은 단일 채널 환경이며 제한적인 통신을 제공한다. 에이전트들은 게임 시작과 동시에 인지 정보를 기반으로 맴을 작성하게 된다. UT 게임은 환경이 실시간으로 급변하기 때문에 최단의 협상 과정을 가져야 한다. 협상 시스템의 구성은 협상 과정에서 모든 것을 정하기엔 시간이 부족하기 때문에 빠른 협상 과정을 유도하기 위하여 협상과정의 일부분을 사전에 정의함으로써 협상과정을 단순화 시켰으며, 나머지는 실시간 협상과정을 통하여 동적으로 역할 분담을 하였다 협상 방법으로는 각 에이전트의 의견이 반영될 수 있는 투표 (voting) 방법을 사용하였다.

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Analyzing Reputation of Candidates in the Election Using Opinion Mining (오피니언 마이닝을 이용한 선거 후보자 평가 분석)

  • Hong, Jun-Hyuk;Yoon, Jae-Yeol;Lim, Ji-Yeon;Kim, Iee-Jun;Kim, Ung-Mo
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06c
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    • pp.192-194
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    • 2012
  • 선거는 한 국가의 발전에 큰 영향을 미치는 중요한 행사이다. 국민들의 선거에 대한 관심은 해가 갈수록 증가하고 있고, 선거철마다 많은 여론이 형성되고 있다. 유권자들은 자신이 원하는 후보를 선정하기 위해 많은 후보자 정보를 살펴보아야한다. 올바른 판단을 위해서는 수많은 정치인과 정당에 대한 사전 분석이 필요할 것이다. 이는 시사나 정치에 대한 지속적인 관심이 요구되기 때문에 쉬운 일이 아니다. 그래서 후보자에 관한 기사나 공인된 온라인 토론에서의 정보를 검색하고 점수화하여, 투표자들이 후보를 결정하는데 도움을 줄 수 있는 방법을 제안한다.