• 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.

• Bulletin of the Korean Mathematical Society
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• v.7 no.1
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• pp.7-11
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• 1970

• The Journal of the Acoustical Society of Korea
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• v.33 no.1
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• pp.68-74
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• 2014

In a previous work, we proposed a novel approach of histogram equalization using a supplement set which is composed of centroids of Fuzzy C-Means of the background utterances. The performance of the proposed method is affected by the size of the supplement set, but it is difficult to find the best size at the point of recognition. In this paper, we propose a histogram equalization using a supplement set for majority voting based speaker identification. The proposed method identifies test utterances using a majority voting on the histogram equalization methods with various sizes of supplement sets. The proposed method is compared with the conventional feature normalization methods such as CMN(Cepstral Mean Normalization), MVN(Mean and Variance Normalization), and HEQ(Histogram Equalization) and the histogram equalization method using a supplement set.

• Survey Research
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• v.10 no.2
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• pp.23-43
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• 2009

The purpose of this paper is to explain characteristics of panel data and display the academic cases using panel data. Panel data have merit to control various variables to influence respondents' attitude and estimate the effects of independent variables researchers are interested in by surveying the same respondents several times. However, panel data also have problems such as contaminating the respondents and reducing the number of the respondents as survey conducted several times. In spite of a few inherent problems of panel data, informations that panel data provide are valuable and some research themes could not be possible without panel data. This paper investigates the relationship between interest in elections and voting. Electoral stimulation such as watching TV debates influences the consistent voting intended. But changing nonvoters who had voting intention but not vote are not influenced by the electoral stimulation.

• The Journal of the Korea Contents Association
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• v.17 no.8
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• pp.80-89
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• 2017

Television viewing affects viewers' attitudes and opinions on their political issues. Since the beginning of General Programming TV services in 2011, they are criticized of their politically biased programming. In order to investigate the effect of General Programming TV on voters' behavior, we analyzed whether or not there is a change in the voting behavior of the conservative parties among the areas with high and low TV ratings of general programming TV. Based on the result of 18th presidential election in December 2012, we could not find any difference in voting behavior on the Saenuri party among the areas with high and low ratings of general programming TV channels. However, in the 6th provincial election in June 2014, while the voting shares of the Saenuri party were higher in the areas with high ratings of TV Chosun, Channel A, and JTBC than in those areas with low ratings.

• Journal of The Korean Association of Information Education
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• v.10 no.1
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• pp.119-127
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• 2006

This paper is designed to search the new alternatives to supplement the inconvenience of the traditional written ballot method which is executed every early semester to select the class board at the school. It is prepared on the based the results of the design and implement of the wired/wireless inter-working mobile electronic voting system where the students can participate in the real-time class board selection and the decision-making utilizing the mobile phones, PDA and PC they commonly have. It is time when we should consider introducing the electronic voting system, to minimize the students' inconvenience and the subsequent missing class, having to wait in the long line in the designated place to select the class board at every election season. This system enables the students to participate wherever they are other than the common place as well. Further, this research will provide the opportunity to think over the new school election culture in line with the age of Ubiquitous, as well as the useful means in the field to promote the active participation of the parents and students in the students' self-administration, decision-making necessary at the schools.

• The KIPS Transactions:PartB
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• v.15B no.3
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• pp.205-210
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• 2008

A new approach is proposed for restoration of corrupted regions and segmentation in natural text images. The challenge is to fill in the corrupted regions on the basis of color feature analysis by second order symmetric stick tensor. It is show how feature analysis can benefit from analyzing features using tensor voting with chromatic and achromatic components. The proposed method is applied to text images corrupted by manifold types of various noises. Firstly, we decompose an image into chromatic and achromatic components to analyze images. Secondly, selected feature vectors are analyzed by second-order symmetric stick tensor. And tensors are redefined by voting information with neighbor voters, while restore the corrupted regions. Lastly, mode estimation and segmentation are performed by adaptive mean shift and separated clustering method respectively. This approach is automatically done, thereby allowing to easily fill-in corrupted regions containing completely different structures and surrounding backgrounds. Applications of proposed method include the restoration of damaged text images; removal of superimposed noises or streaks. We so can see that proposed approach is efficient and robust in terms of restoring and segmenting text images corrupted.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.8A
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• pp.822-828
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• 2002

Optical flow estimation based on multi constraint approaches is frequently used for recognition of moving objects. However, the use have been confined because of OF estimation time as well as error problem. This paper shows a new method form effectively extracting movement information using the multi-constraint base approaches with sobel edge detection. The moving objects anr extraced in the input image sequence using edge detection and segmentation. Edge detection and difference of the two input image sequence gives us the moving objects in the images. The process of thresholding removes the moving objects detected due to noise. After thresholding the real moving objects, we applied the Combinatorial Hough Transform (CHT) and voting accumulation to find the optimal constraint lines for optical flow estimation. The moving objects found in the two consecutive images by using edge detection and segmentation greatly reduces the time for comutation of CHT. The voting based CHT avoids the errors associated with least squares methods. Calculation of a large number of points along the constraint line is also avoided by using the transformed slope-intercept parameter domain. The simulation results show that the proposed method is very effective for extracting optical flow vectors and hence recognizing moving objects in the images.