• Industry Promotion Research
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• v.9 no.2
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• pp.85-93
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• 2024

This study examines the direct effects of infant temperament, infant happiness, playfulness, and self-regulation and the mediating effect of playfulness and self-regulation in the relationship between infant temperament and infant happiness, and examines the relationship of influence on infant happiness according to infant temperament. The purpose is to provide theoretical and practical information for promotion. The main results of this study are as follows. First, the activity of infant temperament was found to have a positive effect on infant happiness. Second, the adaptability, activity, and approach-avoidance of children's temperament were found to have a positive effect on playability. Third, the physiological regularity of infant temperament was found to have a positive effect on self-regulation. Fourth, playfulness and self-regulation were found to have a positive effect on children's happiness. Fifth, playfulness was found to play a mediating role between infant temperament adaptability, activity, approach avoidance, and happiness. Sixth, self-regulation was found to play a mediating role between the physiological regularity of infant temperament and infant happiness. In conclusion, this study can improve children's happiness by analyzing the direct effects on children's happiness, playfulness, and self-regulation according to the sub-factors of children's temperament, and the indirect influence of the mediating variables, playability and self-regulation, on children's happiness. It is meaningful in providing theoretical and practical basic data for early childhood care and education by understanding what direction there is.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.768-771
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• 2008

This paper presents an algorithm for generating inverse element over finite fields $GF(3^m)$, and constructing method of inverse element generator based on inverse element generating algorithm. The method need to compute inverse of an element eve. $GF(3^m)$ which corresponds to a polynomial eve. $GF(3^m)$ with order less than equal to m-1. Here, the computation is based on multiplication, square and cube method derived from the mathematics properties over finite fields.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.14 no.2
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• pp.95-107
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• 1989

This paper proposes a realization method of multidimensional digital filters that has high modularity, regularity and parallelism enjoying the attributes for efficient VLSI implementation. The method shows that multidimensional transfer functions can be treated as two-dimensional transfer functions modifying the decomposition method of multidimensional transfer functions proposed by Venetsanopoulos etal, and then be displayed by multiplications and additions of one-dimensional transfer functions by applying the griangular decomposition theorem to the coefficient matrices of the two-dimensional transfer functions.

• Archives of design research
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• v.19 no.4 s.66
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• pp.187-204
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• 2006

The brand personality of online products and services is know as its e-brand personality. Although, in the competitive conditions of online markets, e-brand personality is agreed to be an important factor, few studies have suggested how to establish e-brand personality through the visual design of web sites. This study identifies and verifies causal relationships between the visual attributes of web pages and e-brand personalities. The first identifies four major dimensions of e-brand personality on diverse web sites. The second uses 52 experimental home pages to identify key visual attributes associated with those four personality dimensions. The third is a confirmatory study with 16 experimental web sites that verifies causal relationships between visual attributes and e-brand personalities. The results show that two visual attributes, 'simplicity' and 'cohesion,' help to establish a 'bold' personality. Three attributes, 'contrast,' 'density,' and 'regularity,' affect whether a site has an 'analytical' personality. 'Contrast,' 'cohesion,' 'density,' and 'regularity' all influence whether a web site is perceived to have a 'friendly' personality. 'Regularity' and 'balance' were expected to affect the 'sophisticated' personality dimension, but no such impact was observed. The paper concludes with a discussion of implications, limitations, and future research directions.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.305-308
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• 2002

• Smart Media Journal
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• v.5 no.1
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• pp.104-113
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• 2016

A new design method for multi-functional pull-down menu based on stacking rules is proposed. The importance of a design point of view has been emphasized in many previous studies on web navigation. Taking technical aspects with an emphasis on programming techniques into consideration in this paper, multiple elements, which are used for constructing main menu of the pull-down menu, are capable of performing their unique functions independently in addition to basic classification function by disposing them to separated layers using stacking rules. Furthermore, the improvement of visual effects and efficiency for information navigation can be expected by implementing submenu selection-bar using animation techniques and function to automatically search submenu item. Finally, the effectiveness of the proposed method is identified by implementing multi-functional pull-down menu using CSS and jQuery.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.5
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• pp.764-771
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• 2018

This study focused on shape attributes in a basic study that identified infographics expression diversification and delivery efficiency based on formative attributes. To achieve that goal, formative attributes were categorized as geometric or expressional type, and significant differences between them were found by identifying the attributes of each type. The study analyzed the correlations between each infographic type's formative attributes and content delivery. The results found that regularity, clarity, visibility, and content delivery were attributes of the geometric type, whereas expressionality, visibility, clarity, and content delivery were attributes of the expressional type. Further analysis of the attributes focusing on content delivery found that regularity and visibility significantly influenced content delivery for the geometric type, and expressionality and clarity significantly influenced content delivery for the expressional type. Thus, this study empirically confirmed that formative attributes of infographics distinguished between expression types with statistically significant differences during the visualization process. And that specific factors influencing content delivery were formative attributes.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04a
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• pp.377-380
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• 2002

본 논문에서는 대표적인 데이터 마이닝 기법 중 하나인 연관 규칙 마이닝에 대해 PC 성능의 급속한 발전으로 인한 PC 클러스터 시스템의 이종화의 필연성을 효과적으로 대처할 수 있는 부하 분산 알고리즘을 제안한다. 제안한 부하 분산 기법은 실행 전 성능을 미리 측정할 필요가 없이 실행 중에 성능을 측정할 수 있는 동적 부하 분산 알고리즘으로써 노드들 사이에 성능 정보의 교환 비용밖에 요구되지 않는다. 실험 결과는 제안한 알고리즘이 이종의 클러스터 시스템의 효율성을 극대화함을 보여준다. 또한 본 논문에서는 부하 분산 알고리즘의 성능을 분석할 수 있는 방법을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1035-1038
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• 2011

아로마테라피로 알려진 향기요법은 19세기 과학적인 근거로 천연오일을 의학적으로 사용하면서 체계적인 근간을 이루게 된 대체요법이다. 본 논문에서는 향기요법의 이론적 배경을 기반으로 기관지에 효과적인 유칼립투스 천연오일의 발향을 통해 음성기관의 변화 정도를 측정하는 연구를 수행하였다. 특히, 기관지와 관련된 음성분석 요소인 성대 진동의 변화율과 진폭의 규칙성을 측정, 분석하여 유칼립투스 천연오일의 발향에 따른 기관지 기능의 효과성을 객관적으로 입증하는 실험을 수행하였다.

• Journal of the Korean GEO-environmental Society
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• v.16 no.5
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• pp.43-53
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• 2015

In this study, detection methods of outlier in various monitoring data that fit into big data category were developed and outlier detections were conducted for both artificial data and real field monitoring data. Rule-based methods applied rate of change and probability of error for monitoring data are effective to detect a large-scale short faults and constant faults having no change within a certain period. There are however, problems with misjudgement that consider the normal data with a large scale variation as outlier caused by using independent single dataset. Rule-based methods for noise faults detection have a limit to application of real monitoring data due to the problem with a choice of proper window size of data and finding of threshold for outlier judgment. A correlation analysis among different two datasets were very effective to detect localized outlier and abnormal variation for short and long-term monitoring dataset if reasonable range of training data could be selected.