• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.6
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• pp.28-38
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• 2010

In order to remove the noise contained in recorded analog video, it is important to recognize the real characteristics and strength of the noise. This paper presents an efficient training-based noise reduction method for recorded analog video after analyzing the noise characteristics of analog video captured in a real broadcasting system. First we show that there is non-negligible noise correlation in recorded analog video and describe the limitations of the traditional noise estimation and reduction methods based on additive white Gaussian noise (AWGN) model. In addition, we show that auto-regressive (AR) model considering noise correlation can be successfully utilized to estimate and synthesize the noise contained in the recorded analog video, and the estimated AR parameters are utilized in the training-based noise reduction scheme to reduce the video noise. Experiment results show that the proposed method can be efficiently applied for noise reduction of recorded analog video with non-negligible noise correlation.

• Journal of dental hygiene science
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• v.14 no.3
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• pp.364-370
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• 2014

The purpose of this study was to examine association between oral health status and perceived general health symptom. We analyzed 14,231 subjects who participated in Korea National Health and Nutrition Examination Survey (2007~2009). All individuals were examined by a questionnaire about socioeconomic history, smoking and drinking habit, the frequency of daily tooth brushing, the presence of regular dental visit, and EuroQol-5D. Dental survey was conducted to find the decayed, missing, and filled teeth (DMFT) index and community periodontal index. Subjects with perceived problem with mobility had higher DMFT index (odds ratio, 1.18, p<0.001). Subjects with with perceived problem with pain/discomfort had higher DMFT index (odds ratio, 1.16, p<0.001). Self-rating general health symptom was not associated with periodontitis (p>0.05). Perceived general health was associated with DMFT index. It is recommendable that we can use the perceived general health to predict oral health status.

• Korean Journal of Agricultural Science
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• v.27 no.2
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• pp.101-106
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• 2000

A total of 181 Holstein and 73 Korean cattle were used to investigate the association of bovine leukemia virus (BLV) resistance stains with major economic traits. The frequencies of BLV resistance strain with 91bp PCR products were 60.0% and 40.0% in Holsten and Korean cattle, respectively. The association of BLV resistance and susceptibility strains with 305-d milk and 305-d milk fat yields were not significant(P>0.05) in Holstein cattle. Body weights at birth, 6-mon, and 120-mon of age were not significantly associated with the BLV resistance and susceptibility strains of Holstein and Korean cattle. It could be concluded that the alleletypers of BLV resistance were not associated with major economic traits in Holstein and Korean cattle.

• Journal of the Korean Data and Information Science Society
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• v.26 no.2
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• pp.419-427
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• 2015

Despite of correlation between climate changes and food-related information, it is still not easy for many users to get access to the information with interest. This study investigated how much climate change and food-related information are correlated with each other and how often they are exposed through frequency and correlation analysis on news articles on the internet portals. Through analysis on the frequency of climate change and food-related news articles, this study was able to figure out how often they are exposed at the same time by the internet news portals. In addition, a total of 59 correlation rules regarding the climate change and food-related vocabularies were derived from these news articles using the climate change and food-related glossaries. Then, a correlation between certain climate change-related and food-related words was analyzed in order to package the related words.

• Design Convergence Study
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• v.15 no.2
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• pp.185-201
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• 2016

This study aims to define the basic design elements of a sonic interactive object and relate them with the different metaphor types including physical metaphor, gestural metaphor, sound metaphor, and embodied metaphor that are reflected on the interface, gesture, sound, and embodied experience. It discusses how the concept mapping can be effectively done by utilizing metaphor and considering the relationships between the types of metaphor when designing a sonic interactive object. This study has a significance in the aspect that it expanded the area of metaphor to embodied experience and subdivided the types of metaphor including visual, sound, gestural and tactile information. Furthermore, it attempted to analyze the design elements of a sonic interactive object in relation to the types of metaphor. A researcher or a designer, therefore, can use this study as a reference to design concept mapping of a sonic interactive object, in a way that the design elements and metaphor types work together effectively to enable a visitor to recognize what they are expected to do with the object more intuitively.

• Journal of Korean Home Economics Education Association
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• v.34 no.4
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• pp.1-18
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• 2022

This study aimed to investigate the association between plant protein intake and health-related quality of life (HRQoL) in Korean individuals aged 50 years or older. Using the 2016-2018 Korea National Health and Nutrition Examination Survey data, 7,956 participants (3,434 men and 4,522 women) were included in the study. HRQoL was measured using the Euro-quality of life five-dimension (EQ5D), composed of physical function, self-care, daily activities, pain/discomfort, and anxiety/depression problems. The EQ5D estimates were converted into an EQ5D index score. The association between daily intake of plant proteins and HRQoL was evaluated using regression analysis. The intake of total plant protein, legume nut seed (LNS), and fermented bean (FERMB) proteins were all positively associated with HRQoL in both men and women (p < 0.01). Of EQ5D's five dimensions, physical function and daily activities were most commonly associated with plant protein intake. Compared to LNS protein or FERMB protein intake, total plant protein intake showed a better association with HRQoL. In conclusion, a significant association was observed between plant protein intake and HRQoL. It suggests that adequate intake of plant protein might be helpful for the maintenance or improvement of HRQoL in Korean adults.

• The Journal of Korean Association of Computer Education
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• v.11 no.1
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• pp.65-74
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• 2008

In this paper, we introduce an analysis system for answer dataset by using a data mining method. We analyze students' answer data collected from a test including multiple choice question items, and find associations between the items. Analysis of evaluation results based on our system will not only provide correct information on students' achievement levels but also provides a basis for modifying weaknesses of the evaluation procedures, question items, or teaching/learning procedures. Furthermore, it will enable us to improve the quality of question items for future use so that we can secure itemsets of high quality.

• The Korean Journal of Applied Statistics
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• v.29 no.1
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• pp.113-122
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• 2016

Longitudinal data often occur in prospective follow-up studies. Joint model for longitudinal data and failure time has been applied on several works. In this paper, we extend it to the case where longitudinal data involve informative observation time process as well as competing risks survival times. We use a likelihood approach and derive an EM algorithm to obtain maximum likelihood estimate of parameters. A suggested joint model allows us to make inferences for three components: longitudinal outcome, observation time process and competing risk failure time. In addition, we can test the association among these components. In this paper, liver cirrhosis patients' data is analyzed. The relationship between prothrombin times measured at irregular visiting times and drop outs is investigated with a joint model.

• The KIPS Transactions:PartD
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• v.9D no.1
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• pp.57-64
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• 2002

Few studies have been systematically pursued on a multimedia data mining in despite of the overwhelming amounts of multimedia data by the development of computer capacity, storage technology and Internet. Based on the preliminary image processing and content-based image retrieval technology, this paper presents the methods for discovering association rules from recurrent items with spatial relationships in huge data repositories. Furthermore, multimedia mining algorithm is proposed to find implicit association rules among objects of which content-based descriptors such as color, texture, shape and etc. are recurrent and of which descriptors have spatial relationships. The algorithm with recurrent items in images shows high efficiency to find set of frequent items as compared to the Apriori algorithm. The multimedia association-rules algorithm is specially effective when the collection of images is homogeneous and it can be applied to many multimedia-related application fields.

• Journal of Intelligence and Information Systems
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• v.8 no.2
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• pp.91-103
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• 2002

A collaborative filtering which supports personalized services of users has been common use in existing web sites for increasing the satisfaction of users. A collaborative filtering is demanded that items are estimated more than specified number. Besides, it tends to ignore information of other users as recommending them on the basis of information of partial users who have similar inclination. However, there are valuable hidden information into other users' one. In this paper, we use Association Rule, which is common wide use in Data Mining, with collaborative filtering for the purpose of discovering those information. In addition, this paper proved that Association Rule applied to Recommender System has a effects to recommend users by the relation between groups. In other words, Association Rule based on the history of all users is derived from. and the efficiency of Recommender System is improved by using Association Rule with collaborative filtering.