• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.2
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• pp.77-90
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• 2011

In these days, almost all existing contents have been digitalized because of development of IT(Information Technology) and the emergence of various distribution channels. Those digitalized Contents has increased so rapidly, particularly Video contents, and brought new market and open new business. Now it became a lucrative industry. Therefore it's necessary to study Digital contents. This study is to find out the factors which have an influence on Intention to Use and Use charged the digital contents. To carry out this study, TAM(Technology Acceptance Model), IDT(Innovation Diffusion Theory) and Use& Gratifications Theory were applied. An empirical method has been adopted, using Likert-style 7 point measurement scale, data were collected by e-mail and direct survey in Daejeon, Korea. On the collected data, after the validity test and reliability test has been taken by factor analysis and using Cronbach's alpha respectively, following 5 variables were extracted such as Perceived Usefulness, Perceived Easy Of Use, Compatibility, Intention to Use and Use.

• The KSFM Journal of Fluid Machinery
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• v.20 no.2
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• pp.47-52
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• 2017

In general industry, TFM(turbine flow meters) as measuring instruments having high reliability are widely used in the trade of petroleum and in the measurement of tap water and hot water. The TFM is performed calibration for using in the field and is mainly calibrated at room temperature. Since accuracy of TFM depends on Reynolds number of fluid, TFM is calibrated at same Reynolds number by changing flow rate. Furthermore, the TFM using a fluid of high temperature should have considered for other factors such as the thermal expansion of the parts and characteristics change is unknown changes in the turbine flow meter accordingly. In this paper, two turbine flowmeter are experimentally studied about characteristics change using the facilities which can change fluid temperature from 6 degree celsius to 90 degree celsius. As a result, the turbine flow meter can be calibrated to minimize the error characteristic at a similar temperature and the actual temperature.

• Journal of Power Electronics
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• v.5 no.3
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• pp.198-205
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• 2005

The mechanical system of a drive can often be modeled as a two- or three-mass-system. The load is coupled to the driving motor by a shaft able to perform torsion oscillations. For the automatic tuning of the control, it is necessary to know the mathematical description of the system and the corresponding parameters. As the manpower and setup-time necessary during the commissioning of electrical drives are major cost factors, the development of self-operating identification strategies is a task worth pursuing. This paper presents an identification method which can be utilized for the assisted commissioning of electrical drives. The shaft assembly can be approximated as a two-mass non-rigid mechanical system with four parameters that have to be identified. The mathematical background for an identification procedure is developed and some important implementation issues are addressed. In order to avoid the excitation of the system with its natural resonance frequency, the frequency response can be obtained by exciting the system with a Pseudo Random Binary Signal (PRBS) and using the cross correlation function (CCF) and the auto correlation function (ACF). The reference torque is used as stimulation and the response is the mechanical speed. To determine the parameters, especially in advanced control schemes, a numerical algorithm with excellent convergence characteristics has also been used that can be implemented together with the proposed measurement procedure in order to assist the drive commissioning or to achieve an automatic setting of the control parameters. Simulations and experiments validate the efficiency and reliability of the identification procedure.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.4
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• pp.153-162
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• 2019

Recently, it is necessary to develop a technology for quantitatively evaluating railway vibration to prevent civil complaints about orbital structures caused by railway noise and normal operation of ultra-precise equipment of orbital industrial complexes. The existing analytical method requires a very complicated dynamic response model, and it is difficult to secure the reliability of the result due to the inaccuracy of the demand model. Therefore, in this paper, we propose a railway vibration evaluation algorithm and system that deduce the vibration value generated from railway operation by using Linear Regression and Gradient Descent technique based on actual measurement railway vibration database that classifies factors affecting railway vibration. The prediction results obtained by the proposed algorithm show higher efficiency and accuracy than the existing analytical methods.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.154-168
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• 2021

The purpose of this study is to develop and validate the disaster safety awareness scale for high school students. For this purpose, the previously developed disaster safety awareness scale and related prior research was analyzed. Questionnaire data was collected from March 22 to May 25, 2021 from 1054 students (male: 569, female: 485) in the first, second, and third grades of 5 high schools in 3 cities. Through the process of revising, supplementing, and reviewing the items extracted through preliminary research and preliminary test together with experts and students, a final disaster safety awareness scale consisting of 24 items was developed. This scale consists of four sub-factors: 'disaster prevention', 'disaster response A', 'disaster response B', and 'disaster recovery'. Good reliability and validity were secured through exploratory and confirmatory analyses. The significance of this study is that it laid a basic and objective foundation for high school students' disaster safety awareness research by developing a validated scale in a situation where the development of disaster safety awareness scales for high school students was still insufficient. It can be used as useful data for fire safety education as well as a psychological measurement tool for fostering fire safety awareness.

• International Journal of Naval Architecture and Ocean Engineering
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• v.12 no.1
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• pp.691-698
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• 2020

In this study, the effects of hydrodynamic interceptors on a high-speed vessel were investigated to identify the operating principle based on experiments. Model tests were performed using a high-speed towing carriage. The resistance, trim and rise of Center of Gravity (CG) of the high-speed vessel were measured for various ship speeds and interceptor heights. As the interceptor height increased, the trim and rise of CG were reduced. In order to quantitatively analyze these phenomena, the pressure at the stern bottom was measured using tactile sensors. The reliability of the measured results from the tactile sensors was verified through repeat tests. The pressure on the stern bottom increased in proportion to the interceptor height, as the interceptor partially blocked the flow there. Then, the trim was reduced. However, as the ship speed increases, the pressure at the location close to the interceptor decreases when the interceptor height is small, leading to increased trim. Therefore, the interceptor height for running attitude control should be carefully determined considering multiple factors in the operating condition of the high-speed planing hull.

• Journal of Distribution Science
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• v.19 no.1
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• pp.37-47
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• 2021

Purpose: This study aims to review existing research on the definition, conceptualization, and measurement of relationship values to guide future research. This study specifically measures the relationship value between principals and retailers, which is still not widely discussed in previous research. Besides, to broaden our knowledge of the value-based determinants of competitive advantage, satisfaction, and retailer loyalty in business-to-business relationships. Research design, data, and methodology: This research assessed three alternative models of the relationship value construct's dimension structure and then tested for reliability, validity, and confirmatory factor analysis. The research sample is 185 retailers-data analysis using Structural Equation Modeling (SEM). Results: The results showed that product-based values and relationship-based values positively influenced competitive customer advantage, satisfaction, and loyalty. Conclusions: Relationship value construct can be measured and consist of five dimensions: product quality, delivery performance, customer orientation, service support, and personal interaction. They are key factors that maintain the relationship between principal and retailers. This study indicates that principals must invest more time and effort in building valuable relationships with their retailers. Finally, the value of relationships is a determinant of retailer performance: satisfaction and loyalty.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.181-189
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• 2022

The purpose of this study is to verify study models and examine a causal relationship among authenticity, job satisfaction, organizational commitment, quality of life and job achievement for amateur business team player. In order to achieve the purpose, this study conducted structural equation model analysis for study models consisting of extraneous variables after examining the authenticity(organization, leader) that amateur business players perceive and endogenous variables including job satisfaction, organizational commitment, quality of life, and job performance. The object of questionnaires in this study selected sports business team players nationwide as a population and 348 players were chosen as final effective samples by applying a convenient sampling method for offline and online questionnaires. The research tool for this study is a questionnaire. The two dimensions of authenticity were used by developing a scale. For all endogenous variables, the scales used in previous studies were modified and used according to the purpose of the study. This study analyzed the collected data, applying SPSS Win ver. 23.0 and AMOS 20.0 programs in order to analyze the characteristics of the study objects, describe questionnaires, and verify selected study hypothesis, individual hypothesis was verified after identifying the reliability and validity of measurement model, and the fitness verification of study models. In the results, all of the 8 hypothesis were adopted and the reciprocal relationship among each factors in the study model were observed.

• The Journal of Economics, Marketing and Management
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• v.5 no.2
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• pp.1-9
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• 2017

This study has reviewed the "A survey on the relation between the employees' viewpoint with knowledge management and cultural intelligence among the employees working in Social Security Organization of Ardabil". The present study is functional in terms of objective and the method is descriptive and survey. This has asked the others' ideas and viewpoints concerning a specific subject and has analyzed them. About the nature and the method used, the present research is of correlation research. The population applied in this research includes all employees working in Social Security Organization of Ardabil consisting of 400. The method used for sampling is simple random sampling. To collect the information in the first step of the research the library method has been used. In this research the data has been collected through standard questionnaires. Then, via descriptive and inferential statistics the research data has been characterized and regarding the spatial scaling of the measurement to test the hypothesis the, correlation analysis of Pearson has been used and also to specify the reliability of the questionnaire the Chronbach's Alpha has been taken in use and the SPSS software to analyze the data also. The findings resulted from the study showed that there is a significant relation between the factors concerning employees' efficiency with knowledge management and the cultural intelligence and all hypotheses was confirmed.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.21 no.4
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• pp.543-558
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• 2023

Currently, Japan is undertaking a nationwide project to measure and map radioactive contamination around Fukushima, as part of the efforts to restore normalcy following the nuclear accident. The Japan Atomic Energy Agency (JAEA) manages the Fukushima Environmental Safety Center, located approximately 20 km north of the Fukushima Daiichi nuclear power plant in Minamisōma City, Fukushima Prefecture. In collaboration with the JAEA, this study involved conducting comparison experiments and analyses with radiation detectors in high radiation environments, a challenging task in Korean environments. Environmental radiation surveys were conducted using three types of detectors: CZT, NaI(Tl), and LaBr₃(Ce), across two contaminated areas. Dose rate values were converted using dose rate conversion factors for each detector type, and dose rate maps were subsequently created and compared. The detectors yielded similar results, demonstrating their feasibility and reliability in high radiation environments. The findings of this study are expected to be a crucial reference for enhancing the verification and supplementation of procedures and methods in future radiation measurements and mobile surveys in high-radiation environments, using these three types of radiation instruments.