• 한국치위생학회지
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• 제11권5호
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• pp.695-706
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• 2011

Objectives : The purpose of this study is to assess oral health perception, oral health behavioral and family smoking status according to smoking experience in a part of high school students. Methods : A survey is conducted with a total of 648 first grader at high school in Dae-Gu city from 1st to 30th September, 2009. The results are as follows. Results : 1. 95.5% of respondents are 'smoking is very harmful for health' and the majority of smoking-related disease are lung cancer, oral disease, and oral cancer. 2. 127 respondents have experience in smoking and 62 respondents are smoking at that time. 59.7% respondents have 1 year smoking history and the majority of respondent are 5 cigarettes/day. 67.8% respondents are under 5 cigarettes/day. 3. In oral health behavioral by smoking, the majority of smokers' teeth brushing are 3 times, 47.2% and 2 times, 27.6%. The majority of nonsmoker's teeth brushing are 3 times, 47.0% and 2 times 26.5%. The results of teeth brushing time are significantly different between smokers and non-smokers(p<.001). The majority of smokers and non-smokers have not experienced about scaling. It is significantly different between 2 groups(p<.05). 4. The smoking rate of father and grandfather in smokers is higher than non-smokers. It is significantly different between 2 groups(p<.005). 5. The need for oral management in oral health education is gum treatment and dental caries treatment. 22.8% smokers and 25.7% non-smokers require to get gum treatment. 18.1% smokers and 20.2% non-smokers required to get dental caries treatment. Conclusions : Also Future longitudinal research is required to develop oral health promotion program contents according smoking-oral health.

• Asian Pacific Journal of Cancer Prevention
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• 제14권3호
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• pp.1969-1974
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• 2013

The objective of this study was to determine the knowledge and associated factors regarding colorectal cancer screening among university students in Malaysia. The questionnaire consisted of three parts: socio-demographic characteristics, lifestyle practice and knowledge of colorectal screening. A cross-sectional study was conducted among 300 students ($21.3{\pm}1.4$ years old). The majority of the participants were Malay with a monthly family income of less than 5,000 Ringgit Malaysia (equal to 1,700 USD) (67.0% and 76.0%, respectively). Regarding their lifestyle practices, the majority were non-smokers and had never consumed alcohol (83.7%, and 88.0%, respectively). The majority of the participants had no knowledge of digital rectal examination, colonoscopy, barium enema and fecal occult blood screening (63.3%, 60.7%, 74.0% and 62.3%, respectively). Univariate and multivariate analysis revealed that their age and the discipline which the students were studying significantly influenced their level of knowledge about colorectal screening. The present study results indicate that education campaigns about colorectal cancer should be promoted.

• Asian-Australasian Journal of Animal Sciences
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• 제13권5호
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• pp.702-710
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• 2000

A large portion of total energy expenditure associated with ruminant livestock production goes towards maintenance. Approximately 55% of whole body energy use is consumed by visceral tissues (including internal organs) with the majority of this going to the liver and gastrointestinal tract. Muscle and adipose tissues consume about 27% of total body energy expenditure. Metabolic components within the viscera responsible for the majority of energy consumption include ion transport, protein turnover, substrate cycling, and urea synthesis (liver). Within muscle tissue of growing animals ion transport and protein turnover account for most of the energy expenditure. Protein synthesis consumes approximately 23% of whole body energy use and visceral tissues account for proportionally more of whole body protein synthesis than skeletal muscle. Research efforts focused on improving energetic efficiency of the tissues and metabolic mechanisms responsible for the majority of whole animal energy expenditure should provide information leading to more efficient production of an edible product.

• 한국컴퓨터정보학회논문지
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• 제20권12호
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• pp.101-106
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• 2015

This paper suggests heuristic algorithm with polynomial time complexity for rigging elections problem that can be obtain the optimal solution using linear programming. The proposed algorithm transforms the given problem into adjacency graph. Then, we divide vertices V into two set W and D. The set W contains majority distinct and the set D contains minority area. This algorithm applies divide-and-conquer method that the minority area D is include into majority distinct W. While this algorithm using simple rule, that can be obtains the optimal solution equal to linear programing for experimental data. This paper shows polynomial time solution finding rule potential in rigging elections problem.

• 대한가정학회지
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• 제24권1호
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• pp.129-138
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• 1986

The purpose of this study is to investigate the child's preference attitude for one parent and to analyze the difference in the four variables(sex, age, birth order and maternal employment) and the factors influencing it. To meet this purpose, three kinds of questionnaire for child (school-age/late adolescence) and his parents were used. The data were obtained through 136 pairs(parents and child) and analyzed by chisquare test and Guttman's lambda. The results of this test are summerized as follows. 1. The majority of children prefer mother to father and especially adolescent daughters prefer mother more than sons. 2. The majority of parents answered that their child would prefer mother to father and the correlation coefficient between mother's answer and fathers is .53. But child's actual preference is no related with parent's awareness of being preferred. 3. The majority of parent's answer were consistent with child's preference but the correlation coefficients are very low from the analysis of factors influencing the child's preference. Therefore parents and child must have more communication, concern and expression of love for mutual consistence.

• Journal of information and communication convergence engineering
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• 제11권4호
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• pp.258-267
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• 2013

New incremental learning algorithm using extended data expression, based on probabilistic compounding, is presented in this paper. Incremental learning algorithm generates an ensemble of weak classifiers and compounds these classifiers to a strong classifier, using a weighted majority voting, to improve classification performance. We introduce new probabilistic weighted majority voting founded on extended data expression. In this case class distribution of the output is used to compound classifiers. UChoo, a decision tree classifier for extended data expression, is used as a base classifier, as it allows obtaining extended output expression that defines class distribution of the output. Extended data expression and UChoo classifier are powerful techniques in classification and rule refinement problem. In this paper extended data expression is applied to obtain probabilistic results with probabilistic majority voting. To show performance advantages, new algorithm is compared with Learn++, an incremental ensemble-based algorithm.

• Journal of Information Processing Systems
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• 제16권4호
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• pp.809-819
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• 2020

Gender prediction accuracy increases as convolutional neural network (CNN) architecture evolves. This paper compares voting and ensemble schemes to utilize the already trained five CNN models to further improve gender prediction accuracy. The majority voting usually requires odd-numbered models while the proposed softmax-based voting can utilize any number of models to improve accuracy. The ensemble of CNN models combined with one more fully-connected layer requires further tuning or training of the models combined. With experiments, it is observed that the voting or ensemble of CNN models leads to further improvement of gender prediction accuracy and that especially softmax-based voters always show better gender prediction accuracy than majority voters. Also, compared with softmax-based voters, ensemble models show a slightly better or similar accuracy with added training of the combined CNN models. Softmax-based voting can be a fast and efficient way to get better accuracy without further training since the selection of the top accuracy models among available CNN pre-trained models usually leads to similar accuracy to that of the corresponding ensemble models.

• Nuclear Engineering and Technology
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• 제55권10호
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• pp.3716-3724
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• 2023

Loose parts monitoring and detecting alarm type in real Nuclear Power Plant have challenges such as background noise, insufficient alarm data, and difficulty of distinction between alarm data that occur during start and stop. Although many signal processing methods and alarm determination algorithms have been developed, it is not easy to determine valid alarm and extract the meaning data from alarm signal including background noise. To address these issues, this paper proposes a denoising autoencoder-based majority vote classification. Training and test data are prepared by acquiring alarm data from real NPP and simulation facility for data augmentation, and noisy data is reproduced by adding Gaussian noise. Using DAEs with 3, 5, 7, and 9 layers, features are extracted for each model and classified into neural networks. Finally, the results obtained from each DAE are classified by majority voting. Also, through comparison with other methods, the accuracy and the false alarm rate are compared, and the excellence of the proposed method is confirmed.

• 인지과학
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• 제34권1호
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• pp.39-66
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• 2023

뉴미디어는 사회적 교류의 장을 인터넷으로 옮겨와 대규모 집단이 시공간의 한계를 뛰어넘어 한 곳에서 소통할 수 있게 만들었다. 최근 연구는 인간의 사회적 능력이 소셜 미디어를 통해 경험하는 확장된 집단 스케일을 따라가지 못하는 사례를 보고하기도 한다. 이러한 맥락에서, 본 연구는 인간의 사회적 정보 지각이 인구 집단 스케일의 확장에 영향을 받는지 다수편향 맥락에서 확인하였다. 인터넷 기반 과제를 통해 구성원의 수로 나타낸 집단 크기와 전체에서 특정 집단이 차지하는 집단 비율이 개인에게 지각되고 다수편향적 사회적 정보 활용에 영향을 주는 심리적 과정을 조사하였으며, 전체 집단 스케일의 확장에 각 과정이 영향을 받는지 살펴보았다. 집단 비율은 다수편향에 정적 영향을 주고 있으며, 그 관계는 비율 지각에 의해 부분매개 되었다. 전체 집단 스케일은 집단 비율과 비율 지각의 관계를 조절하지 않았다. 반면, 집단 크기와 다수편향의 상관은 유의하지 않았다. 전체 집단 스케일은 집단 크기 지각을 조절하였다. 전체 집단 스케일이 작은 조건에서 집단 크기와 크기 지각은 양적 상관을 나타냈지만, 전체 집단의 스케일이 확장된 조건에서 지각된 집단 크기는 유의미하게 작아졌고, 두 변수는 상관을 잃었다. 이러한 결과를 통해 집단 크기 지각과 관련된 심리 기제가 전체 집단 스케일의 확장에 제대로 반응하지 못하고 있음을 확인하였다. 나아가 집단 크기 정보를 처리하는 전문화된 심리 기제가 존재할 가능성과 다수편향이 특이적으로 받아들이는 자극의 형태를 진화심리적 관점에서 논하였다.

• 전기전자학회논문지
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• 제23권1호
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• pp.310-313
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• 2019

This paper used the majority function to digitally filter back-electromotive force as an explanation of the Brushless DC MOTOR control algorithm. The cause and improvement of motor noise, which are operating in close proximity to high frequency sources, did not use conventional low pass filter and comparator elements. Also, they repeatedly output a noise-free BEMF signal for the input value of the majority detection filtering. These filtering steps can help reduce costs and minimize the area of a PCB by requiring relatively little hardware.