• Korean Journal of Legislative Studies
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• v.26 no.2
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• pp.35-71
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• 2020

The purpose of this study is to verify the effect of electoral competition on voters deciding on strategic split-ticket voting under the mixed-member electoral system. As result, the more competitive the constituencies are, the more voters choose to vote for the major parties. The results of logistic regression analysis including interaction terms showed that the more competitive the constituencies are, the more voters choose for candidates from the major parties. Also, the finding shows that major party supporters are less affected by electoral competition than minor party supporters in choosing a candidate in the single-seat districts. In the case of minor party supporters, the more competitive the constituencies were, the more likely they were to choose the major party candidate instead of the minor party candidate. Based on these results, it can be inferred that voters are affected by the presence or behavior of other voters in local constituencies under the first-past-the-post rule. Because of the psychology of not wanting their votes to be useless, voters cast their ballots more strategically as the competition in constituencies intensifies, and as the competition in constituencies slackens, such tendencies weaken, and this trait is particularly evident among minor party supporters.

• Journal of Contemporary Eastern Asia
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• v.15 no.2
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• pp.191-210
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• 2016

While general belief is that the military alliances are stable and rigid, the authors argue that the states are far more flexible in their behavior and often act against their alliances. This paper looks at states' behavior in the UN GA and looks how it is reflected in participation in military alliances during three periods of history since 1976 to this day. The authors illustrate the need to consider the network representation of co-sponsoring groups in General Assembly votes. They find significant support for their argument, indicating that social aspects can be extended beyond alliances. An application of social network analysis shows some unexpected affiliations in UN GA. If the UN GA is the "true" nature of these countries' alliance strategies, then it might suggest some significant defections and interesting association.

• Korean Journal of Legislative Studies
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• v.25 no.1
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• pp.79-106
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• 2019

Local governments within the boundaries of a state need increasing flexibility to satisfy diverse economic, social, and environmental goals in their particular geographical setting. However, many candidates in the local election in South Korea tend to see local politics as an extension of national-level politics. In particular, this paper mainly deals with how the voters' evaluation of a president's performance has influenced subnational elections in South Korea. Our analysis suggests that the fate of candidates in subnational elections is shaped by the performance of the incumbent president in both economic development and foreign affairs.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.306-311
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• 2003

This paper presents a novel localization paradigm for mobile robots based on artificial and natural landmarks. A model-based object recognition method detects natural landmarks and conducts the global and topological localization. In addition, a metric localization method using artificial landmarks is fused to complement the deficiency of topology map and guide to action behavior. The recognition algorithm uses a modified local Zernike moments and a probabilistic voting method for the robust detection of objects in cluttered indoor environments. An artificial landmark is designed to have a three-dimensional multi-colored structure and the projection distortion of the structure encodes the distance and viewing direction of the robot. We demonstrate the feasibility of the proposed system through real world experiments using a mobile robot, KASIRI-III.

• Journal of Information Processing Systems
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• v.15 no.1
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• pp.67-90
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• 2019

Accurate detection, tracking and analysis of human movement using robots and other visual surveillance systems is still a challenge. Efforts are on to make the system robust against constraints such as variation in shape, size, pose and occlusion. Traditional methods of detection used the sliding window approach which involved scanning of various sizes of windows across an image. This paper concentrates on employing a state-of-the-art, hierarchical graph based method for segmentation. It has two stages: part level segmentation for color-consistent segments and object level segmentation for category-consistent regions. The tracking phase is achieved by employing SIFT keypoint descriptor based technique in a combined matching and tracking scheme with validation phase. Localization of human region in each frame is performed by keypoints by casting votes for the center of the human detected region. As it is difficult to avoid incorrect keypoints, a consensus-based framework is used to detect voting behavior. The designed methodology is tested on the video sequences having 3 to 4 persons.

• Asian Journal for Public Opinion Research
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• v.11 no.2
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• pp.77-106
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• 2023

The DPP's victory over the KMT in Taiwan's 2020 elections has been interpreted as a triumph for anti-China sentiment. However, the rise of political outsiders and their influence on voting behavior in this election were overlooked and underestimated. In this article, we examined different sources of data and found that supporters of these political outsiders mentioned sovereignty and cross-Strait issues less than the incumbent Tsai Ing-wen. However, when faced with the choice between Tsai and challenger Han Kuo-yu, voters who were concerned about governance chose Tsai, contributing to her winning a record number of votes. This article suggests that economic and governance issues had a considerable role in the election's result and will probably be the main focus of the 2024 presidential election. With the potential for a conflict in the Taiwan Strait increasing, anti-China sentiment is unlikely to be the deciding factor this time around.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.385-398
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• 2018

This study aims to explore implications by analyzing voters' behaviors and attitudes of political campaigns & political advertising audience in the 19th presidential election. For this purpose, in-depth interviews with 59 voters who voted in the last election were conducted, and interviewees were allocated by their gender and age. As a result, the motivation to ballot for a candidate was based on the candidates' political affiliations to a party, political inclinations, and election pledges. Voters also determined whom they would vote for after watching the final TV debate. The biggest issue of this election was to create jobs in the public sector, an economical issue. TV was the most trusted medium among the voters, and TV debates had the greatest influence in changing the minds of the voters. Voters thought that Shim, Sang Jung was the best on TV debates and that An, Chul Soo was the worst. Also, voters recalled An, Chul Soo the most among all election posters, but they recalled Moon, Jae In the most out of other political advertisement methods. Therefore, the results elucidated the voters' behaviors and the audience's attitudes in political advertising, and this study provided theoretical and practical implications to be utilized in future presidential election campaigns and political advertising endeavors.

• Journal of Agricultural Extension & Community Development
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• v.8 no.2
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• pp.223-234
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• 2001

The community consciousness used to be the core of the social capital in rural Korea, and there used to be a long tradition of mutual trust and cooperation in rural village community in Korea. However, recent trends in rapid urbanization or de-ruralization may affected community consciousness and social capital in rural society in Korea. The social capital has been existed in terms of mutual trust, commonly shared norms, and cooperative behavior in farm work and daily life of rural people. Commonly shared norms and networks have accelerated social effectiveness and promoted cooperative work as well as moral and spiritual aspects of rural society. Social capital in terms of community consciousness, participation of village work, visit and invitation of the neighborhood, and participation in various village group and networks were suveyed in JanggogRi, Jori Myun, Paju city, Gyeonggi province. The data collected from 65 persons, and the major findings of the study were as follow; The respondents responded that the community consciousness of de-rural area decreased in general with a few exception in the groups of alumni, family, religion and voluntary society. Social capital in terms of participation of village work, visiting the neighbors and voting increased slightly. Further research on social capital should be conducted to strengthen community consciousness, and various measures to increase the social capital should be adopted for livable community development.

• Journal of Information Processing Systems
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• v.10 no.3
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• pp.443-458
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• 2014

An extreme learning machine (ELM) is a recently proposed learning algorithm for a single-layer feed forward neural network. In this paper we studied the ensemble of ELM by using a bagging algorithm for facial expression recognition (FER). Facial expression analysis is widely used in the behavior interpretation of emotions, for cognitive science, and social interactions. This paper presents a method for FER based on the histogram of orientation gradient (HOG) features using an ELM ensemble. First, the HOG features were extracted from the face image by dividing it into a number of small cells. A bagging algorithm was then used to construct many different bags of training data and each of them was trained by using separate ELMs. To recognize the expression of the input face image, HOG features were fed to each trained ELM and the results were combined by using a majority voting scheme. The ELM ensemble using bagging improves the generalized capability of the network significantly. The two available datasets (JAFFE and CK+) of facial expressions were used to evaluate the performance of the proposed classification system. Even the performance of individual ELM was smaller and the ELM ensemble using a bagging algorithm improved the recognition performance significantly.

• ETRI Journal
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• v.41 no.4
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• pp.494-505
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• 2019

In this paper, we propose a new framework for detecting the unauthorized dumping of garbage in real-world surveillance camera. Although several action/behavior recognition methods have been investigated, these studies are hardly applicable to real-world scenarios because they are mainly focused on well-refined datasets. Because the dumping actions in the real-world take a variety of forms, building a new method to disclose the actions instead of exploiting previous approaches is a better strategy. We detected the dumping action by the change in relation between a person and the object being held by them. To find the person-held object of indefinite form, we used a background subtraction algorithm and human joint estimation. The person-held object was then tracked and the relation model between the joints and objects was built. Finally, the dumping action was detected through the voting-based decision module. In the experiments, we show the effectiveness of the proposed method by testing on real-world videos containing various dumping actions. In addition, the proposed framework is implemented in a real-time monitoring system through a fast online algorithm.