• Archives of design research
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• v.12 no.2
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• pp.121-130
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• 1999

The purpose of this study is to provide standardization on the examination that could measure students' diagrammatic creativity at design college. For this purpose, we tested college students, who was selected by educational system, regional, and grade groups to use the examination, and suggested the standardization criterion by analyzing these data. The data analysis procedures of this study consist of three step, the first that was to investigate the goodness of the examination paper, second step was to measure the reliability and the validity for the goodness of questions, the last step was to suggest the standardize scores for standardization on the examination. The results of the goodness and standardization analysis showed three structural factors(fluency, flexibility, originality) of this examination were proper to measure the diagrammatic creativity, and the proposed examination tool seemed to be good enough to apply in practice.

• Smart Structures and Systems
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• v.5 no.1
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• pp.95-117
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• 2009

In this paper, the time series based damage detection algorithms developed by Nair, et al. (2006) and Nair and Kiremidjian (2007) are applied to the benchmark experimental data from the National Center for Research on Earthquake Engineering (NCREE) in Taipei, Taiwan. Both acceleration and strain data are analyzed. The data are modeled as autoregressive (AR) processes, and damage sensitive features (DSF) and feature vectors are defined in terms of the first three AR coefficients. In the first algorithm developed by Nair, et al. (2006), hypothesis tests using the t-statistic are applied to evaluate the damaged state. A damage measure (DM) is defined to measure the damage extent. The results show that the DSF's from the acceleration data can detect damage while the DSF from the strain data can be used to localize the damage. The DM can be used for damage quantification. In the second algorithm developed by Nair and Kiremidjian (2007) a Gaussian Mixture Model (GMM) is used to model the feature vector, and the Mahalanobis distance is defined to measure damage extent. Additional distance measures are defined and applied in this paper to quantify damage. The results show that damage measures can be used to detect, quantify, and localize the damage for the high intensity and the bidirectional loading cases.

• Structural Engineering and Mechanics
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• v.51 no.4
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• pp.663-683
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• 2014

In order to study the dynamic failure mechanism and aseismic measure for high concrete gravity dam under earthquake, the comparative models experiment on the shaking table was conducted to investigate the dynamic damage response of concrete gravity dam with and without the presence of reinforcement and evaluate the effectiveness of the strengthening measure. A new model concrete was proposed and applied for maintaining similitude with the prototype. A kind of extra fine wires as a substitute for rebar was embedded in four-points bending specimens of the model concrete to make of reinforced model concrete. The simulation of reinforcement concrete of the weak zones of high dam by the reinforced model concrete meets the similitude requirements. A tank filled with water is mounted at the upstream of the dam models to simulate the reservoir. The Peak Ground Acceleration (PGA) that induces the first tensile crack at the head of dam is applied as the basic index for estimating the overload capacity of high concrete dams. For the two model dams with and without strengthening tested, vulnerable parts of them are the necks near the crests. The results also indicate that the reinforcement is beneficial for improving the seismic-resistant capacity of the gravity dam.

• Journal of Korean language education
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• v.29 no.4
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• pp.201-223
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• 2018

The purpose of this study is to observe the effects of text modification by comparing differences in Korean reading comprehension levels that arise from differences in vocabulary levels in texts. This study intends to use simplified texts with the vocabulary difficulty adjusted differently from the original text to measure reading comprehension levels of Korean learners and analyze the result. To measure reading comprehension, the researcher divided 55 Korean learners of intermediate to advanced level of fluency into two groups; the control group read the original text and the treatment group read a simplified text in which complex vocabulary were substituted with easier words of medium difficulty. Then the two groups were tested with the same questionnaire to measure comprehension levels of each group. The result showed that the groups that read simplified texts scored higher than the control group; this suggests that the reading comprehension level was increased in the treatment group. The experiment confirmed that unknown vocabulary density has direct impact on Korean reading comprehension. The result shows that the proportion of unknown vocabulary should be reduced for meaning-focused reading. It also demonstrates that comprehension of the learner was enhanced with lexical simplification rather than structural simplification i.e. simplification of grammar or sentences. Thus, diverse reading materials adjusted to the learners' level of fluency should be developed to enable reading for learning Korean. By reducing the burden of understanding the meaning of each vocabulary, learners will be able to achieve the initial goal of reading.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.275-280
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• 2021

With the development of communication networks, the processes of exchanging and transmitting information rapidly developed. As millions of images are sent via social media every day, also wireless sensor networks are now used in all applications to capture images such as those used in traffic lights, roads and malls. Therefore, there is a need to reduce the size of these images while maintaining an acceptable degree of quality. In this paper, we use Python software to apply K-mean Clustering algorithm to compress RGB images. The PSNR, MSE, and SSIM are utilized to measure the image quality after image compression. The results of compression reduced the image size to nearly half the size of the original images using k = 64. In the SSIM measure, the higher the K, the greater the similarity between the two images which is a good indicator to a significant reduction in image size. Our proposed compression technique powered by the K-Mean clustering algorithm is useful for compressing images and reducing the size of images.

• Earthquakes and Structures
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• v.22 no.2
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• pp.157-168
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• 2022

A moment-independent importance measure analysis approach was introduced to quantify the effects of structural uncertainty parameters on probabilistic seismic demands of simply supported girder bridges. Based on the probability distributions of main uncertainty parameters in bridges, conditional and unconditional bridge samples were constructed with Monte-Carlo sampling and analyzed in the OpenSees platform with a series of real seismic ground motion records. Conditional and unconditional probability density functions were developed using kernel density estimation with the results of nonlinear time history analysis of the bridge samples. Moment-independent importance measures of these uncertainty parameters were derived by numerical integrations with the conditional and unconditional probability density functions, and the uncertainty parameters were ranked in descending order of their importance. Different from Tornado diagram approach, the impacts of uncertainty parameters on the whole probability distributions of bridge seismic demands and the interactions of uncertainty parameters were considered simultaneously in the importance measure analysis approach. Results show that the interaction of uncertainty parameters had significant impacts on the seismic demand of components, and in some cases, it changed the most significant parameters for piers, bearings and abutments.

• Physical Therapy Korea
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• v.12 no.4
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• pp.20-25
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• 2005

The Gross Motor Function Measure (GMFM) is an internationally widely used outcome measure. The aim of this study was to evaluate the structural properties of the Korean version of GMFM using the Rasch Model, with regard to scoring within rehabilitation centers in Korea. GMFM data for 206 children with cerebral palsy were collected from 11 outpatient rehabilitation facilities by 29 pediatric therapists. The Winsteps software was used to refine the rating scale. This study suggests that the scoring categories of the Korean version of the GMFM should be collapsed from 0 (subject does not initiate task), 1 (subject initiates task), 2 (subject partially completes task), 3 (subject completes task) to 0 (subject does not initiate task), 1 (subject initiates or partially completes task), 2 (subject completes task) for better accuracy in estimating the gross motor function of children with cerebral palsy.

• Journal of Korean Society for Quality Management
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• v.40 no.4
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• pp.599-614
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• 2012

Purpose: We measure service quality based on service process, and examine relationships among product quality, product and service loyalty. Methods: We develop a construct to evaluate process based service quality. We collect data from customers of auto maintenance centers to measure perceived product quality, service and product quality. We test relationships between constructs using structural equation model and regression analysis. Results: Relationships among perceived-product quality, service quality, service loyalty, and product loyalty are all significant. Conclusion: Perceived-product quality has a indirect impact through service quality and loyalty in addition to a direct impact on product loyalty.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2005.11a
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• pp.185-189
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• 2005

For the simultaneous measurement of strain and vibration signal, a fiber Bragg grating sensor system with a dual demodulator was proposed. One demodulator using a tunable Fabry-Perot filter could measure low-frequency signal such as strain and the other demodulator using a coarse wavelength division multiplexer could detect high-frequency signal such as vibration signal using intensity demodulation method. In order to measure strain and vibration of the composite main wing model under static loading a real time monitoring program was developed. Also using intensity demodulation of CWDM, sensitivity and resolution at high frequency vibration were evaluated.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.19 no.9
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• pp.943-949
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• 2009

Many studies for measuring vibration using image signal are suggested. These methods can measure vibration of multi-points simultaneously. However, it has the disadvantage that is very sensitive to an environment. If the measured environment is not good, image signals can be measured including much background noise. So, it is difficult to obtain accurate vibration from the measured image signals. Another problem is that camera imaging has a resolution limit. Because the resolution of the camera image is relatively much lower than that of a data acquisition system, accurate measuring vibration cannot be performed. In this paper, we proposed the enhanced technique for measuring vibration using camera signal. The key word of this paper is a curve fitting. The curve fitting can exactly detect the measurement line of interested object. So, we can measure the vibration in noisy environment. Also, it can overcome the resolution limit.