• Asia pacific journal of information systems
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• 제6권2호
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• pp.5-17
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• 1996

There are various cases that we vote for making a decision or combining ideas (i.e. human being's opinions) in group meetings. Group Decision Support System(GDSS) provides us with a number of voting methods for decision making or aggregation of the ideas. It is generally difficult to select a voting method appropriate for given a meeting situation, without any aid of experts or computers having a knowledge on voting. In this paper we propose a supporting system for selecting an appropriate voting method. Since the selected method is recommended to the facilitator of GDSS, a part of time and effort related with the voting would be reduced. The knowledge in the system is represented as rules that are inductively generated from examples of voting. We used UNiK-INDUCE with ID3 algorithm so as to learn, which is a tool of developing expert systems.

• 한국조사연구학회지:조사연구
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• 제5권2호
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• pp.3-30
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• 2004

출구조사에서 투표소 표집방법으로는 지금까지 판단표집의 일종인 대표구 추출방법과 층화 대표구의 두 가지 방법이 주로 사용되고 있지만 아직 어느 방법이 더 효과적인가에 대해서 체계적인 연구가 이어지지 않았다. 본 연구는 지금까지 논의되어 온 네가지 투표소 추출방법 중에서 어느 방법을 사용할 때 오차가 가장 적을것인지 그리고 어느 정도의 투표소를 추출하는 것이 적절한지에 대해서 분석해 보았다. 17대 총선에서 1위와 2위간의 격차가 8% 이내로 경합을 보인 50개 선거구를 대상으로 투표소 추출방법과 추출규모를 달리했을 때 예측오차가 어떻게 달라지는가를 분석한 결과, 과거 선거결과를 토대로 투표소를 정치성향별로 정렬한 후 체계적으로 추출하는 '종단적 체계적 추출방법'이 지금까지 주로 사용되었던 대표구 혹은 층화후 대표구 방법보다 우수한 것으로 나타났다. 그리고 표집규모는 9개에서 11개 정도의 투표소 추출이 적절한 것으로 나타났다.

• Journal of the Korean Data and Information Science Society
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• 제18권3호
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• pp.585-598
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• 2007

It is so difficult to get complete data when we conduct a questionaire in actuality. And we get inefficient results if we analyze statistical tests with ignoring missing values. Therefore, we use imputation methods which evaluate quality of data. This study proposes a imputation method by decomposition and voting with ordinal data. First, data are sorted by each variable. After that, imputation methods are used by each decomposition level. And the last step is selection of values with voting. The proposed method is evaluated by accuracy and RMSE. In conclusion, missing values are related to each variable, median imputation method using decomposition and voting is powerful.

• 정보과학회 논문지
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• 제43권8호
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• pp.869-877
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• 2016

본 논문에서는 무릎 MR 영상에서 다중 아틀라스 기반 지역적 가중투표를 이용한 대퇴부 연골 자동 분할 방법을 제안한다. 제안하는 방법은 다음의 두 단계로 구성된다. 첫째, 대퇴부 연골이 대퇴골에 붙어 있다는 형상정보를 이용하기 위해 볼륨 및 객체 정합 기반의 지역적 가중투표와 협대역 영역확장을 통해 대퇴골을 분할한다. 둘째, 대퇴골의 객체 기반 어파인 변환을 대퇴부 연골 정합에 적용한 후, 다중 아틀라스 형상 기반의 지역적 가중투표를 통해 대퇴부 연골을 분할한다. 제안 방법의 성능을 평가하기 위해 다수투표 기법, 밝기값 기반 지역적 가중투표 기법과 제안 방법의 분할 결과를 전문가에 의한 수동 분할 결과와 비교한다. 실험 결과 제안 방법이 주변 유사 밝기값 영역으로의 누출을 방지하여 분할 정확도가 향상되었음을 보여준다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 추계학술대회 논문집 학회본부 B
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• pp.482-484
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• 1999

In this paper, we propose a voting method for capacitance measurement. Nowadays the measurement system is changing from analog system to digital system. However, capacitance measurement system has a data error because of the noise. The data of general digital measurement system include an internal and external measurement noises that highly affect to the results. Therefore, this paper proposes data compensation method using voting method. Finally, simulation results are used to demonstrate the efficiency of the proposed method.

• Journal of Contemporary Eastern Asia
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• 제16권1호
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• pp.48-68
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• 2017

Manual elections processes in Egypt have several negative effects; that mainly leads to political corruption due to the lack of transparency. These issues negatively influence citizen's participation in the political life; while electronic voting systems aim to increase efficiency, transparency, and reduce the cost comparing to the manual voting. The main research objectives are, finding the successful factors that positively affects E-voting implementation in Egypt, in addition of finding out the reasons that keep Egyptian government far from applying E-voting, and to come up with the road map that Egyptian government has to take into consideration to successfully implement E-voting systems. The findings of the study suggest that there are seven independent variables affecting e-voting implementation which are; leadership, government willingness, legal framework, technical quality, awareness, citizen's trust in government and IT literacy. Technology-Organization-Environment (TOE) theory was used to provide an analytical framework for the study. A quantitative approach (i.e., survey questionnaire) strategy was used to collect data. A random sampling method was used to select the participants for the survey, whom are targeted voters in Egypt and have access to the internet, since the questionnaire was distributed online and the data is analyzed using regression analysis. Practical implications of this study will lead for more citizen participation in the political life due to the transparency that E-voting system will create, in addition to reduce the political corruption.

• 음성과학
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• 제15권2호
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• pp.79-88
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• 2008

Recently demands for the speech technology-based products targeted for the mobile terminals such as cellular phones and PDA are rapidly increasing. And voting-based speaker identification algorithm is known to have a good performance in the mobile environment, since it works well with small amount of speaker training data. In this paper, we proposed a method to improve the performance of this voting based speaker identification system by using the observation confidence value which is derived from the function of SNR each frame. The proposed method is evaluated with ETRI cellular phone DB which is made for the speaker recognition task. The experimental results show that the proposed method has better performance of 2-3% identification rate than the conventional GMM method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권1호
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• pp.166-183
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• 2013

It requires a lot of costs and manpower to manage an election. The electronic voting scheme can make the election system economic and trustful. The widespread use of smart phones causes mobile voting to be a major issue. The smart phone can be used as a mobile voting platform since it can carry out many services in addition to basic telephone service. To make mobile voting practical and trustful, we analyzed two subjects of study. Firstly, the way to make a biometric based mobile ID, which has legal binding forces. In mobile voting, user identification is accomplished on line since the voter should be able to vote wherever they go. The digital ID conducts a similar role to the need for a resident card. The user's identity is bound to the resident card legally. To bind the user's identity to the smart phone, we use USIM. Biometric recognition is also needed to authenticate the user, since the user cannot prove him or her on line face-to-face. The proposed mobile ID can be reissued by means of introducing a random secret value. Secondly, the mobile voting scheme is proposed where candidates can accept election results without doubt. The goal of an election is to select a leader among two or more candidates. Existing electronic voting schemes mainly focus on the study of ballot verification accomplished by voters. These approaches are not safe against collusion attacks where candidates and the election administration center are able to collude to fabricate election results. Therefore, a new type of voting and counting method is needed where candidates can directly take part in voting and counting stages. The biometric based multi-signature scheme is used to make the undeniable multi-signed ballot. The ballot cannot be verified without the help of all candidates. If candidates accept election results without a doubt, the fairness of the election is satisfied.

• Communications for Statistical Applications and Methods
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• 제21권5호
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• pp.411-422
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• 2014

A classification ensemble method aggregates different classifiers obtained from training data to classify new data points. Voting algorithms are typical tools to summarize the outputs of each classifier in an ensemble. WAVE, proposed by Kim et al. (2011), is a new weight-adjusted voting algorithm for ensembles of classifiers with an optimal weight vector. In this study, when constructing an ensemble, we applied the WAVE algorithm on the double-bagging method (Hothorn and Lausen, 2003) to observe if any significant improvement can be achieved on performance. The results showed that double-bagging using WAVE algorithm performs better than other ensemble methods that employ plurality voting. In addition, double-bagging with WAVE algorithm is comparable with the random forest ensemble method when the ensemble size is large.

• 한국정보과학회논문지:소프트웨어및응용
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• 제36권11호
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• pp.912-919
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• 2009

본 논문에서는 이차원 텐서보팅과 에지 기반 방법을 이용하여 자연영상에서 문자를 검출하는 새로운 방법을 제시한다. 텍스트의 문자들은 보통 연속적인 완만한 곡선 상에 배열되어 있고 서로 가깝게 위치하며, 이러한 특성은 텐서보팅에 의하여 효과적으로 검출될 수 있다. 이차원 텐서보팅은 토큰의 연속성을 curve saliency 로 산출하며 이러한 특성은 다양한 영상해석에 사용된다. 먼저 에지 검출을 이용하여 영상 내의 텍스트 영역이 위치할 가능성이 있는 텍스트 후보영역을 찾고 이러한 후보영역의 연속성을 텐서보팅에 의해 검증하여 잡음영역을 제거하고 텍스트 영역만을 구분한다. 실험 결과, 제안된 방법은 복잡한 자연영상에서 효과적으로 텍스트 영역을 검출함을 확인하였다.