• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2002.11a
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• pp.225-229
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• 2002

The electronic voting becomes new challenging area in cryptographic application. A variety of schemes are designed and implemented based on cryptographic protocols. Initiated by ICU, one of best practices was votopia[1] which was successfully served into the Internet voting based on modified Ohkubo et al.'s scheme[2] under Public Key Infrastructure (PKI) and Java technology. Votopia was used to select the Most Valuable Player and Best Goal Keepers of 2002 FIFA World Cup Korea/Japan$\^$TM/ through the Internet where most voters can access and cast their ballots from any place and at any time. However, votopia assumed that the resources of the Internet voters only connected via wired environment. In this paper, we suggest how to extend votopia to mobile voting which has limited computing resources.

• Smart Media Journal
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• v.6 no.4
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• pp.32-40
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• 2017

In this paper, a robust text detection method based on edge enhanced contrasting extremal region (CER) is proposed using stroke width transform (SWT) and tensor voting. First, the edge enhanced CER extracts a number of covariant regions, which is a stable connected component from input images. Next, SWT is created by the distance map, which is used to eliminate non-text regions. Then, these candidate text regions are verified based on tensor voting, which uses the input center point in the previous step to compute curve salience values. Finally, the connected component grouping is applied to a cluster closed to characters. The proposed method is evaluated with the ICDAR2003 and ICDAR2013 text detection competition datasets and the experiment results show high accuracy compared to previous methods.

• Communications for Statistical Applications and Methods
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• v.21 no.5
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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.

• Proceedings of the KIEE Conference
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• 1999.11c
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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.

• Speech Sciences
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• v.15 no.2
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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.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2010.04a
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• pp.157-160
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• 2010

Terrestrial LiDAR data contains outliers which do not need in processing purpose. That is inefficient in the aspect of productivity. These noise requires manual process to be removed, which causes inefficiency in aspect of productivity. The purpose of this research is to demonstrate a possibility of automatic outlier removal of LiDAR data using 3D Tensor Voting method. For this, we presented in this article about the procedure to perform the application of Tensor Voting algorithm to the real data from terrestrial LiDAR.

• American Studies
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• v.42 no.1
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• pp.57-97
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• 2019

This study seeks to reveal why the U.S. House Democrats showed different levels of support in the voting of the U.S.-Morocco FTA, U.S.-Bahrain FTA, and U.S.-Oman FTA. Existing studies focusing on the constituency or members' ideology do not properly account for the variance of these three FTA voting results. All of these FTAs, however, were promoted as a part of the president's foreign policies. If so, FTA support in Congress could depend on representatives' evaluation of the presidential foreign policy. Based on this, the study analyzes how representatives' evaluation of President Bush's foreign policy changed according to the period of the three FTA votes. The vote on the FTAs has been influenced by their evaluation of the presidential foreign and national security policies.

• Asian Journal for Public Opinion Research
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• v.11 no.2
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• pp.107-144
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• 2023

In competitive political contexts, sustaining power is the ultimate goal for political parties. Nominating celebrity politicians can be a double-edged sword for parent brands in attracting votes and influencing voting intention. This study contributes to the moderating role of brand affinity towards celebrity politicians. It considers celebrities' cognitive perceived benefits and voting intention relationship in a multiparty parliamentarian election. A cross-sectional survey with a stratified proportional random sampling technique in fifteen Lebanese districts ensured a representative sample. One thousand two hundred sixty-nine responses were found eligible for analysis. Findings indicate that brand affinity positively moderates the negative relationship between perceived benefits and voting intention. This study offers a new understanding of celebrity politicians' implementation strategy and campaign management and considers the contribution of the affective intelligence theory. It provides implications, limitations, and promising directions for future research on celebrity politicians.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.189-195
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• 2024

The issue "Exploring Social Media and Other Crucial Success Elements of Attitude towards Politics and Intention for Voting in Pakistan" is a huge study embracing more issues. The politics of Pakistan is basically the politics of semantic groups. Pakistan is a multilingual state more than six languages. There are 245 religious parties in Pakistan, as elaborated by the Daily Times research. The use of social media sites in Pakistan peaked to its maximum after announcement of election schedule by the Election Commission of Pakistan in March 22, 2013. Most of the political parties used it for the recent elections in Pakistan to promote their agenda and attract country's 80 million registered electors. This study was aiming to investigate the role of social media and other critical variables in the attitude towards politics and intention for voting.

• 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.