• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.9
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• pp.1497-1503
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• 2016

This paper presents the overall measurement system for on-line test of super-speed maglev train. The super-speed maglev train is composed of vehicle, propulsion, power, and so on. In order to evaluate and diagnose for sub-system, we made overall measurement system. Just like the other measurement system, it is designed to distributed type. The hardware is consist of SCXI, PXI, Terminal, UPS, and so forth. It is installed on a train, control room, power room and track to collect lots of signals. The software controls hardware system, monitors main data such as inverter current, converter voltage. Using the measurement system, we evaluated a lot of performances for vehicle, track, and so forth. Through the developed system have improved reliability and safety for super-speed maglev train.

• Korean Journal of Human Ecology
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• v.9 no.1
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• pp.5-13
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• 2006

Interaction Scale between Teachers and Infants for childcare Teachers(ISTI) was constructed based on the research data completed by the Bradley, Caldwell & Corwyn's IT-CC-Home and kinds of Interaction Scales with a participation Infants childcare teachers and Child Studies professor, Child Studuies doctoral course students. The results of this study were; First, the study found that the 29 items of the ISTI were categorized into four factors by 205 Infants for childcare teachers: Involvement, Variety, Responsivity, Permission. Second, these factors exhibited a high correlation interactively. Third, the ISTI showed a high correlation with teachers' performance scale. Further ISTI is a vaild and reliable scale for the measurement of Interaction Scale between Teachers and Infants for childcare Teachers.

• Journal of Engineering Education Research
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• v.23 no.1
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• pp.37-46
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• 2020

The purpose of this study is to develop the self-reported measurement for engineering design competency. In this study, engineering design competency is defined as the overall individual ability that is necessary for an engineer for his/her successful accomplishment of engineering design. This measurement was developed through reviewing documents, defining factor and sub-factor, making an item and constructing validity verification. The self-reported measurement for engineering design competency consists of 6 factors and 40 items. 6 factors cover competency of design performance, competency of considering economic and social influence, competency of utilizing mathematical and scientific knowledge, competency of teamwork, competency of design-centered thinking and competency of collecting and using data. A 6-points Likert scale was used for each item.

• Proceedings of the Polymer Society of Korea Conference
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• 2006.10a
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• pp.142-143
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• 2006

Combinatorial methods are being used increasingly to develop the next generation of polymers, coatings and adhesive formulations. Allied to this approach, a new genre of measurement and characterization methods are emerging. These characterization techniques are required to handle and take measurements from small samples. This has led to a number of uses for this technology which usefully fall between convention test specimen and micro- or nano-scale test methods. A versatile measurement platform will be presented which can offer useful indentation, puncture, compression, adhesion and scratch resistance data for a wide variety of material types and that continues to develop and evolve in capability.

• Communications for Statistical Applications and Methods
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• v.9 no.1
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• pp.229-240
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• 2002

Whether to use linear or quadratic model in the analysis of regression data is one of the important problems in classical regression model and measurement error model (MEM). In MEM, four goodness of fit test statistics are available In solving that problem. Two are from the derivation of estimators of quadratic MEM, and one is from that of the general $k^{th}$-order polynomial MEM. The fourth one is derived as a variation of goodness of fit test statistic used in linear MEM. The purpose of this paper is to find the most powerful test statistic among them through the small-scale simulation.

• Wind and Structures
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• v.2 no.2
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• pp.127-131
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• 1999

This paper describes probabilistic characteristics of damping in a tall building based on the results of full-scale measurement. It is found, through statistical analysis of the damping data, that the probability density function(PDF) of damping at the high amplitude plateau can be well represented by Normal distribution (Gaussian distribution). A stochastic damping model is proposed to estimate amplitude-dependent damping for practical application.

• Korean Journal of Childcare and Education
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• v.19 no.6
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• pp.1-19
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• 2023

Objective: The aim of the present study was to develop and validate a recognition scale for childcare teachers' rights. Methods: Statistical methods for data analysis involved the use of SPSS 20.0 and AMOS 20.0. To confirm the reliability and validity of the developed scale, various analyses, including item quality assessment, item discrimination, exploratory factor analysis, confirmatory factor analysis, and Pearson correlation analysis, were conducted. The maximum likelihood estimation method was employed for model fitting. Goodness of fit was assessed using SRMR, RMSEA and its 90% confidence interval, CFI, and TLI. Through these analyses, the scale's reliability and validity exceeded the standard. Consequently, 5 factors and 30 questions were ultimately selected as the recognition scale for childcare teachers' rights. Results: First, a recognition scale for childcare teachers' rights was developed to reflect changes in childcare settings. Second, an objective measurement was incorporated into the recognition scale of childcare teachers' rights. Third, the analysis using the proposed scale revealed a correlation between the recognition of childcare teachers' rights and life satisfaction. Conclusion/Implications: The study developed a scale capable of objectively measuring the recognition of childcare teachers' rights.

• Women's Health Nursing
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• v.30 no.2
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• pp.107-116
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• 2024

Purpose: This study was conducted to develop a cultural competence scale for nurses regarding the lesbian, gay, bisexual, and transgender (LGBT) community and to test its validity and reliability. Methods: The study adhered to the 8-step process outlined by DeVellis, with an initial set of 25 items derived through a literature review and individual interviews. Following an expert validity assessment, 24 items were validated. Subsequently, a preliminary survey was conducted among 23 nurses with experience caring for LGBT patients. Data were then collected from a final sample of 322 nurses using the 24 items. Item analysis, item-total score correlation, examination of construct and convergent validity, and reliability testing were performed. Results: The item-level content validity index exceeded .80, and the explanatory power of the construct validity was 63.63%. The factor loadings varied between 0.57 and 0.80. The scale comprised five factors: cultural skills, with seven items; cultural awareness, with five items; cultural encounters, with three items; cultural pursuit, with three items; and cultural knowledge, with three items; totaling 21 items. Convergent validity demonstrated a high correlation, affirming the scale's validity. Internal consistency analysis yielded an overall reliability coefficient of 0.97, signifying very high reliability. Each item is scored from 1 to 6 (total score range, 21-126), with higher scores reflecting greater cultural competence in LGBT care. Conclusion: This scale facilitates the measurement of LGBT cultural competence among nurses. Therefore, its use should provide foundational data to support LGBT-focused nursing education programs.

• Smart Structures and Systems
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• v.33 no.2
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• pp.93-103
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• 2024

Despite the rapid development of sensors, structural health monitoring (SHM) still faces challenges in monitoring due to the degradation of devices and harsh environmental loads. These challenges can lead to measurement errors, missing data, or outliers, which can affect the accuracy and reliability of SHM systems. To address this problem, this study proposes a classification method that detects anomaly patterns in sensor data. The proposed classification method involves several steps. First, data scaling is conducted to adjust the scale of the raw data, which may have different magnitudes and ranges. This step ensures that the data is on the same scale, facilitating the comparison of data across different sensors. Next, informative features in the time and frequency domains are extracted and used as input for a deep neural network model. The model can effectively detect the most probable anomaly pattern, allowing for the timely identification of potential issues. To demonstrate the effectiveness of the proposed method, it was applied to actual data obtained from a long-span cable-stayed bridge in China. The results of the study have successfully verified the proposed method's applicability to practical SHM systems for civil infrastructures. The method has the potential to significantly enhance the safety and reliability of civil infrastructures by detecting potential issues and anomalies at an early stage.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.421-430
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• 2018

The purpose of this study is to analyze the scale of health risk behaviors among adolescents in Daegu area. The purpose of this study was to develop a health risk behavior measurement item for the adolescent adolescents in Korea and to analyze the validity (CVR) of the existing THI measurement items and then to quantify the health risk behavior Were compared and analyzed. As a result of the analysis, the reliability of the health risk behavior scale of adolescents developed through the factor analysis was verified to derive measurement items such as general condition, respiratory, circulatory, digestive, mental health and other items. The reliability and validity of the developed health risk behavior scale were found to be fairly good. Through these studies, it will be possible to develop a preventive program that can reduce the risk of health related adolescents' youth, and to devise a strategy that can provide basic data for policy formulation.