• Smart Structures and Systems
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• v.10 no.4_5
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• pp.411-426
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• 2012

The Canton Tower (formerly named Guangzhou New TV Tower) of 610 m high has been instrumented with a long-term structural health monitoring (SHM) system consisting of over 700 sensors of sixteen types. Under the auspices of the Asian-Pacific Network of Centers for Research in Smart Structures Technology (ANCRiSST), an SHM benchmark problem for high-rise structures has been developed by taking the instrumented Canton Tower as a host structure. This benchmark problem aims to provide an international platform for direct comparison of various SHM-related methodologies and algorithms with the use of real-world monitoring data from a large-scale structure, and to narrow the gap that currently exists between the research and the practice of SHM. This paper first briefs the SHM system deployed on the Canton Tower, and the development of an elaborate three-dimensional (3D) full-scale finite element model (FEM) and the validation of the model using the measured modal data of the structure. In succession comes the formulation of an equivalent reduced-order FEM which is developed specifically for the benchmark study. The reduced-order FEM, which comprises 37 beam elements and a total of 185 degrees-of-freedom (DOFs), has been elaborately tuned to coincide well with the full-scale FEM in terms of both modal frequencies and mode shapes. The field measurement data (including those obtained from 20 accelerometers, one anemometer and one temperature sensor) from the Canton Tower, which are available for the benchmark study, are subsequently presented together with a description of the sensor deployment locations and the sensor specifications.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.679-684
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• 2023

Currently, large-scale and deep-depth excavation construction is being carried out in the vicinity of structures due to overdensity in urban areas in Korea. It is very important to secure the safety of retaining structures and underground structures for adjacent excavation work in urban areas. The safety of facilities is managed by introducing an automated measurement system. However, the utilization of the results of the automated measurement system is very low. Conventional evaluation techniques rely only on the maximum value of the measured data, and can overestimate abnormal behavior. In this study, we intend to improve the analysis technique for the automation measurement results. In order to identify abnormal behavior of facilities, a time-series analysis method for automated measurement data was presented. By applying a probability statistical analysis technique to a vast amount of data, highly reliable results were derived. In this study, the analysis method and evaluation method that can process the vast amount of data of facilities have been improved.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.15 no.3 s.96
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• pp.329-333
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• 2005

This paper is concerned with the measurement of low-frequency vibrations of structures using the image processing method. To measure the vibrations visually, the measurement system consists of a camera, an image grabber board, and a computer. The specific target installed on the structure is used to calculate the vibration of structure. The captured image is then converted into a pixel-based data and then analyzed numerically. The limitation of the system depends on the image capturing speed and the size of image. In this paper, we propose the methodology for the vibration measurement using the image processing method. The method enables us to measure the displacement directly without any contact. The current resolution of the vibration measurement is limited to sub centimeter scale. However, the frequency bandwidth and resolution can be enhanced by a high-speed and high-resolution image processing system.

• Journal of Korean Society for Quality Management
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• v.40 no.3
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• pp.381-393
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• 2012

Purpose: Considering various measurements for healthcare service quality, the purpose of this study is to examine measurement items for healthcare service quality (HCSQ) based on previous study and service quality evaluation institutions in the international community. Methods: The proposed research model was tested using measurement analysis, based on data collected from 387 respondents in the selected hospital with more than 500 beds in South Korea. Results: The results of the study shed insights about the relative importance of quality items as degree of improvements of care services tangible, safety, efficiency, and empathy. Also, the study provides new measurement model for healthcare service quality. Conclusion: Healthcare organization thrives to find the key factors for improving quality of care and service that meet customers' needs and expectations.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.4
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• pp.346-352
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• 2009

In the present study, the Weibull statistical analysis using the Monte-Carlo simulation has been performed to investigate the micro-Vickers hardness measurement reliability considering the variability. Experimental indentation test were performed with a micro-Vickers hardness tester for as-received and quenching and tempering specimens in SCM440 steels. The distribution of micro-Vickers hardness is found to be 2-parameter Weibull distribution function. The mean values and coefficients of variation (COV) for both data set are compared with results based on Weibull statistical analysis. Finally, Monte-Carlo simulation was performed in order to evaluate the effect of sample size on the micro-Vickers hardness measurement reliability. For the parent distribution with shape parameter 30.0 and scale parameter 200.0 (COV=0.040), the number of sample data required to obtain the true Weibull parameters was founded by 20. For the parent distribution with shape parameter 10.0 and scale parameter 200.0 (COV=0.1240), the number of sample data required to obtain the true Weibull parameters was founded by 30.

• Earthquakes and Structures
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• v.7 no.5
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• pp.609-626
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• 2014

The capabilities of a high-resolution Digital Image Correlation (DIC) system are presented within the context of deformation measurements of full-scale concrete columns tested under reversed cyclic loading. The system was developed to have very high-resolution such that material strains on the order of the cracking stain of concrete could be measured on the surface of full-scale structural members. The high-resolution DIC system allows the measurement of a wide range of deformations and strains that could only be inferred or assumed previously. The DIC system is able to resolve the full profiles of member curvatures, rotations, plasticity spread, shear deformations, and bar-slip induced rotations. The system allows for automatic and objective measurement of crack widths and other damage indices that are indicative of cumulated damage and required repair time and cost. DIC damage measures contrast prevailing proxy damage indices based on member force-deformation data and subjective damage measures obtained using visual inspection. Data derived from high-resolution DIC systems is shown to be of great use in advancing the state of behavioral knowledge, calibrating behavioral and analytical models, and improving simulation accuracy.

• Child Health Nursing Research
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• v.25 no.3
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• pp.333-343
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• 2019

Purpose: This study sought to develop the Breastfeeding Adaptation Scale-Short Form (BFAS-SF) for use at 4 weeks postpartum, to test its validity and reliability, and to examine its measurement invariance. The latent mean score of the BFAS-SF across multiple groups was also compared. Methods: This methodological research study was conducted to develop a short form of the BFAS and to test its psychometric properties and measurement invariance. Data were collected twice for measurement invariance testing. The sample included 431 and 272 breastfeeding mothers at 2 weeks and 4 weeks postpartum, respectively. Results: Confirmatory factor analysis supported six dimensions of the BFAS-SF at 4 weeks postpartum. Multi-group confirmatory factor analysis revealed evidence for invariance of the BFAS-SF according to employment status, parity, delivery mode, and the postpartum period. There were statistically significant latent mean differences. Mothers who were unemployed and who had a vaginal delivery showed significantly higher scores for breastfeeding confidence, sufficient breast milk, and baby's satisfaction with breastfeeding. Conclusion: The BFAS-SF is valid, reliable, and an appropriate instrument for assessing mothers' breastfeeding adaptation. It can be used to compare mean scores according to employment status and delivery mode.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.1
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• pp.183-191
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• 2001

We develop the new data s]ice representation, called the data value flow graph(VFG), for modeling the information flow oil data slices. Then we define a slice complexity measure by using the existing flow complexity measure in order to measure the complexity of the information flow on VFG. We show relation of the slice complexity on a slice with the slice complexity on a procedure. We also demonstrate the measurement scale factors through a set of atomic modifications and a concatenation operator on VFG.

• The Journal of Industrial Distribution & Business
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• v.11 no.7
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• pp.51-60
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• 2020

Purpose: Recently, Korean cosmetics distribution market has been reorganized with the H&B store. In the domestic cosmetics distribution market, existing brand road shops are decreasing, and multi-shops are leading the H & B stores, which have greatly improved their experience and content. In these environmental changes, the offline distribution channels are turning into the multi-editing shops that have introduced products of various brands and greatly enhanced experiences and contents. Nevertheless, most studies of factors and measurement items for measuring customer experience in the H&B store use Schmitt (1999)'s Strategic Experience Modules (SEMs). Therefore, the purpose of this study is to propose a measure that is practicable through consideration of the in-store customer experience components of the H&B store. Research design, data and methodology: Based on Schmitt's Strategic Experience Modules (SEMs), which are widely used in customer experience marketing, the metric pool was constructed through customer and literature research on H & B store managers. Since then, 101 preliminary surveys and 211 main surveys have been conducted in order to propose a dimension of customer experience and refine the metrics. Results: As a result of the research, H&B store's customer experience was derived from a measurement model consisting of 19 measurement items in total of five dimensions: environmental experience, intellectual experience, behavioral experience, tech experience, and relationship experience. This study analyzed that compared to the existing Schmitt's Strategic Experience Modules (SEMs), (1) emotional experience expanded to environmental experience, (2) Cognitive and relationship experiences are maintained (3) behavioral experience was subdivided into physical and technical experiences. In particular, the environmental experience has been proposed as a major component is an important point because the H&B store recently opened a large flagship store and is competitive in constructing a differentiated space. Conclusions: Related experience was seen as an important component of customer experience in the offline store, but in the process of refining the scale, interaction items with employees of the H&B store were removed, and rather, participation in the APP or SNS channel of the company, event Participation, interaction with other customers, etc. appear to be important, while suggesting the practical implications.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.608-618
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• 2021

The aim of this study was to verify the feasibility and reliability of the program outcome indirect measurement tool developed for nursing college students in Korean. 396 nursing students from 5 nursing colleges participated in this study, data were collected from November 22 to December 10, 2019. Data analysis was conducted using the IBM Statistics SPSS 21.0 and AMOS 21.0 programs to analyze item analysis, exploratory and confirmatory factor analysis. As a result of the item analysis, all 79 items were selected for factor analysis. In the exploratory factor analysis, five items that were loaded with other factors were deleted. The final factor loading range was from .37 to .86, and the cumulative explanatory variance for 12 factors was 71.71%. No items were deleted as a result of the confirmatory factor analysis, and the final scale was consisted of 74 items. The average score for scale was 3.78 and Cronbach' α was .98. The feasibility and reliability of the program outcome indirect measurement tool have been verified through this study. Therefore it can be used as a more standardized indirect measurement tool for nursing college students.