• Journal of Korean Society of Coastal and Ocean Engineers
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• v.7 no.1
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• pp.116-125
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• 1995

Higher order nonlinear transfer functions are applied to model the nonlinear responses obtained Inn dynamic analysis of single degree of freedom systems (SDOF) subjected to wave and current loadings. The structural systems are subjected to single harmonic, two wave combination and irregular wave loading. Three different sources of nonlinearities are examined for each of the wave loading condition and it is shown that the nonlinear response appear at the resonance frequencies of the SDOF even when virtually no wave energy exists at those resonance frequencies. Higher order nonlinear transfer functions based on Volterra series representation are used to model the nonlinear responses mainly f3r the flexible systems and clearly shows the degrees of nonlinearity either as quadratic or cubic.

• Journal of KIISE
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• v.42 no.1
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• pp.93-96
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• 2015

The SIFT method is well-known for robustness against various image transformations, and is widely used for image retrieval and matching. The SIFT method extracts keypoints using scale space analysis, which is different from conventional keypoint detection methods that depend only on the image space. The SIFT method has also been extended to use higher-order scale space derivatives for increasing the number of keypoints detected. Such detection of additional keypoints detected was shown to provide performance gain in image retrieval experiments. Herein, a sigma based normalization method for keypoint detection is introduced using higher-order scale space derivatives.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.101-113
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• 2013

Although the methodological literature is replete with advice regarding the development and validation of multi-item scales based on reflective measures, the issue of index construction using formative measures has received little attention. The aim of this paper is to enhance researchers' understanding of formative measures of high-order factor and assist them in their index construction efforts. This article is also to provide some insights into the nature of formative indicators for researchers to reach an informed choice as to the appropriate high order formative measurement model for their needs. We first provide a brief background on formative indicators, drawing from the limited and fragmented literature on the topic. Next we give an example of constructing an index based on actual survey data and highlight the procedures used to assess its quality. We conclude the article with some thoughts about the use of indexes in empirical studies.

• Journal of Korea Port Economic Association
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• v.31 no.4
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• pp.209-225
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• 2015

A freight forwarder plays an important role in global trade and logistics by connecting worldwide nodes such as shippers, ports, and airports. Most freight forwarders in Korea are small and do not provide a sophisticated and professional service. This study aims to develop a strategy for Korean freight forwarders to the world-class 3PLs which they have to establish the strategy on how shippers select their freight forwarders. We conducted a higher-order factor analysis using the PLS-SEM techniques on the SmartPLS program to confirm the importance and significance of each factor, while considering relevant previous research. The findings suggested that shippers chose their freight forwarders for international logistics activities primarily by the reliability and forwarder service factors. Therefore, freight forwarders in Korea have to strengthen confidence and widen their service to shippers in order to become leading logistics companies.

• Korean Journal of Cognitive Science
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• v.23 no.4
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• pp.487-515
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• 2012

The purpose of this study was to investigate the effect of the individual differences in cognitive processes on paragraph comprehension. To do so, the lexical decision task and the pattern comparison task were used to measure the low-level cognitive processes. Digit span task was used to test the phonological loop capacity. The individual differences of the central executive processing capacity were measured by operational span task. Reading span task was used to test the working memory capacity related with the sentence processing. Reading times and accuracies of the logically valid inferences and logically void inferences were tested to measure the high-level cognitive processes. Reading times and accuracies for the target sentences with and without prior explicit causal sentence were measured to test individuals' paragraph comprehension abilities. The results showed that the speed of the low-level cognitive processes was related with the speed of the high-level cognitive processes. Also, the accuracy of the low-level cognitive processes was related with the accuracy of the high-level cognitive processes while there was no significant correlation between the speed and the accuracy in any measures of the cognitive processes. Working memory capacity was related with the accuracy of the cognitive processes while it was not significantly correlated with the speed of the cognitive processes. Most importantly, the speed of low-level cognitive processes significantly affected the speed of the paragraph comprehension while the working memory capacity and the high-level cognitive processes had influences on the accuracies of the paragraph comprehension. The speed of the paragraph comprehension had no influence on the accuracies of the paragraph comprehension.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.67-74
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• 2017

This paper analyzes the causal relationship from climate to international grain prices. Although climate is an important factor affecting the grain markets, it has been restrictively considered in previous studies analyzing the causal relationship of international grain prices. In this paper, monthly data from May 1987 to 2013 is used for the causal analysis in which the sea surface temperature (SST), a representative global climate variable, and the international prices of wheat, corn, and soybean, the world's three major crops, are considered. The test method is the parametric version of the nonparametric test for causality in high-order moments suggested by Nishiyama et al. (2011). The results show that the climate causes in the first moment the prices of all the three grains and causes in the second moment the prices of corn and soybean, but does not cause in the third moment any of the three grain prices.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.5
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• pp.561-574
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• 2011

This study investigates the ultimate factor structure of consumer dissatisfaction with the off-line purchase and usage of clothing. It identifies the determinant dimensions of consumer dissatisfaction on clothing purchase and usage and investigates the hierarchical structure of consumer dissatisfaction by assessing and comparing the effectiveness of five alternative factor structure models. A total of 300 women were online-surveyed to assess the level of dissatisfaction based on their dissatisfying experience with clothing purchases and usage in terms of product quality, price, salesperson's attitude, and store environment. The exploratory factor analysis identified the underlying dimensions of dissatisfaction: Handling, Aesthetics, Salesperson, Size, Price, Product Quality, Service, and Environment. By employing a first-order confirmatory factor analysis and higher-order confirmatory factor analysis, consumer dissatisfaction was confirmed to have a hierarchical structure with three second-order constructs Intrinsic instrument is manifested by handling, quality, and size, Intrinsic expression consists of service, salesperson, and environment, and Extrinsic circumstance contains aesthetics and price. On empirically demonstrating the multi-dimensional constructs of consumer dissatisfaction by identifying its hierarchical structure, the study provides the theoretical and practical insights to comprehend consumer purchase and post-purchase behavior. Specifically, it affords an empirical platform to extend the scope of research with condensed concepts of dissatisfaction to researchers. In addition, it also enables marketers to take a broader view of consumer dissatisfaction by providing cues about potential problems and identifying the source of those problems.

• Korean Journal of Health Psychology
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• v.14 no.3
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• pp.511-529
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• 2009

The purpose of this study was to develop and validate Korean Game Addiction Scale for children and adolescents. Data from a representative sample of 3,115 children and adolescents residing in Korea were analyzed to identify the factor structure and reliability of the scale. In addition, criterion-related evidence of validity (concurrent and convergent) was examined. Consistent with our theoretical assumptions, the Korean Game Addiction Scale revealed a stable higher order factor structure (second order-one factor, first order-seven factors), and the reliability of the scale was high (average Cronbach's alpha = .84, six week test-retest reliability = .75). The scale was also showed high levels of concurrent and convergent validity. Implications of the findings and directions for future research on game addiction are discussed.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.121-142
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• 2007

The purpose of this study is to construct the evaluation model for the major science research facilities and equipments to enhance the competitiveness of the science and technology and also to test the reliability and validity of the model. To achieve the purposes, this study theoretically reviews the concept of the major science research facilities and equipments and their characteristics. Through a review of literature, this study draws 11 criteria for evaluating the priorities of the major science research facilities and equipments. These criteria are categorized as two dimensions - 'science & technology' and 'national policy'. The dimension of science & technology includes scientific importance, technological readiness, utilization rate, common utilization rate, and ability of management and operation. The national policy dimension contains degree of correspondence with national science development, imperativeness of national policy, science and technical effectiveness, economic and industrial effectiveness, responsiveness of research demand, and equity among the related institutions. The competitiveness of the science and technology consists of these two dimensions. The evaluation model is established on the framework of criteria. The 18 major science research facilities and equipments are selected through a series of Delphi. The survey of experts (BT, ET, IT, NT and ST) is also implemented to evaluate the 18 major science research facilities and equipments by 11 criteria. The overall results indicate that the reliability and validity of the model are good. The reliability tests show that the five indicators of science & technology and the six indicators of national policy have high internal consistencies. The confirmatory factor analyses reveal that the two constructs - 'science & technology' and 'national policy' - have high convergent and discriminant validity. The correlational analyses also show that the criteria-related validity between them is high. Furthermore, the results of higher order factor analysis indicate that the fit indices of the model are high and suggest a good fit to the data. Based on these findings, the policy implications of the model are discussed.

• The Journal of Society for e-Business Studies
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• v.22 no.2
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• pp.79-98
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• 2017

Understanding the consumer-brand relationship in the IT market from the "emotional" or "love" perspective requires an urgent research effort to fully comprehend IT consumers beyond brand loyalty. This study introduces and attempts to empirically validate the concept and measurement of "Lovemarks," which capture the emotional relationship between consumers and IT brands, especially smartphone brands. Having a second-order confirmatory factor analysis for three different smartphone brands, this study extracted 18 final items with six constructs of mysteriousness, sensuality, intimacy, performance, trust, and reputation. The results indicate that the Lovemarks are psychometrically valid and reliably measure the emotional interaction of consumers and IT brands beyondbrand loyalty.