• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.32
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• pp.155-162
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• 1994

The Japanese "Just-In-Time" technique reduces inventory and unnecessary factors. This technique makes the success of Japanese firms, therefore many Korean firms try to apply it to their situation. But the technique doesn't bare the same success in Korean firms. This paper, therefore, considers the different situations between Korean rim and Japanese firm, then simulates the Pull system and Push system for a multiline, multistage production system. This paper drives the different results of simulation according to variable processing times, variable demand, set-up time and shortages in Pull system and Push system using GPSS. The results show that the performance of Pull system is lower than Push system's in variable master production scheduling and variable processing times.ing times.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.12
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• pp.1750-1754
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• 2013

A variable bit rate speech coder is presented. The coder is based on the observation that a speech signal can be viewed as a combination of piecewise linear signals in a short time period. The encoder detects the sample points where the slope of the signal changes, which are called the inflection points in this paper. The coder transmits the location and value for the detected inflection sample, but only the location information for the noninflection samples. In the decoder, the noninflection samples are estimated with interpolation of the received information. Several factors affecting the performance of the coder have been tested through simulation. Simulation results show that the linear interpolation produces 1 ~ 5 dB improvement over the cubic spline interpolation. And the -law companding does not provide any benefit when it is applied before the inflection detection. With low threshold values in the inflection point detection, the coder shows better MOS and more than 16 dB improvement in SNR compared to the continuously variable slope delta modulation (CVSDM).

• Journal of Drive and Control
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• v.11 no.1
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• pp.14-24
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• 2014

Variable displacement vane-type oil pumps represent one of the most innovative pump types for industrial applications, especially for engine lubrication systems. This paper presents a complete and accurate mathematical model for a typical variable displacement vane-type oil pump. Firstly, its theoretical model is revised. Secondly, an analysis of power loss factors of this pump type is carefully investigated to optimize the modeling accuracy. Finally, the estimated pump performance using the complete pump model is verified by numerical simulations in comparison with the practical tests.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2001.10a
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• pp.175-182
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• 2001

Effective length factor approach for framed column design has long played an important design-aid role. This approach, however, is effective only when the columns are in the form of prismatic or uniform cross sections. Structural engineers who have to design or analyse framed columns with variable cross sections need some means to do their job. By using the finite element method, the stability analysis of the isolated compression members with variable cross sections and that of the framed columns are performed. The parameters considered in the stability analysis are taper and sectional property parameters of the columns, the second moment of inertia ratio of beam to column, and beam span to column height ratio. On the basis of the stability analysis results, effective length factor formulas for the columns with variable sections are derived.

• Journal of Power System Engineering
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• v.22 no.1
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• pp.18-24
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• 2018

This paper focuses on systematic design about the membership ranges of the main design factors such as control error, control error rate, and sampling time for the fuzzy logic control of the variable speed drive refrigeration cycle. The upper and the lowest limit of the membership ranges are set up from the data of static characteristics obtained by experiments. Three kinds of membership ranges on the control error and the control error rate are tested by experiments. Especially, an effect of sampling time on control performance is also investigated in the same way. Experimental data showed the control error rate and the sampling time strongly effected on the control performance of the refrigeration cycle with a variable speed drive.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1033-1041
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• 2021

Consumptive behavior is the behavior of consuming goods that are actually less or not needed (especially in relation to the response to the consumption of secondary goods, namely, goods that are not really needed). This study aims to determine the influence of factors such as lifestyle, financial literacy, and social demographics on the consumptive behavior. The population in this research is students of STIE Bank BPD Jawa Tengah who had taken entrepreneurship I and II courses, with a total of 230 students, while the sample is determined by using accidental sampling technique and using Slovin formula, which obtained 70 samples. Quantitative data are used, and data collection method in this study is questionnaire. The analytical tool in this study is the multiple regression analysis. Data is processed by using the SPSS program 21. The results showed that there were positive influence of lifestyle variable on student consumptive behavior; positive influence of financial literacy variable on student consumptive behavior; and positive influence of social demographics on student consumptive behavior. The most dominant variable influencing consumptive behavior is variable X3 (social demographics) with a regression coefficient value of 0.510, followed by variable X1 (lifestyle) and variable X2 (financial literacy).

• Journal of Korean Academy of Nursing
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• v.36 no.1
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• pp.37-44
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• 2006

Purpose: This research has been conducted in order to understand the major factors that affect self-esteem of adolescents. Methods: Data was collected by questionnaires from 1155 students at middle and high school in Seoul and Kyungkido, Korea. The Instrument tools utilized in this study were self-esteem, body-image, problematic behavior, depression, school adjustment, social support tool and thoroughly modified to verify validity and reliability. The collected data have been analyzed using SPSS 11.0 program. The variable of family harmony and counseling partner was treated as a dummy variable. Seven outliers which were bigger than 3 in absolute value were found, so after taking them off, Multiple Regression was used for further analysis. Result: The major factors that affect self-esteem of adolescents were depression, social support, body-image, problematic behavior, school adjustment, and family harmony, which explained $54.7\%$ of self-esteem. Conclusion: It has been confirmed that the regression equation model of this research may serve as a self-esteem prediction factors in adolescents.

• Journal of Information Technology Services
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• v.17 no.3
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• pp.157-169
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• 2018

This study aims to examine the factors influencing user attitude toward Smart Home service as the demand of Smart Home service is increasing and it somewhat involves privacy risk. To this end, the research model includes five independent variables, trust in service provider, perceived privacy risk, self efficacy, interpersonal influence, and external influence, influencing the attitude toward Smart Home service. So, this study aims to analyze which variable is the most critical and influential among the five factors and suggest the direction of Smart Home industries. This study first reviews the literature on Smart Home services and describes its Korean situation. Data were collected from residents living in a smart apartment complex. The results show that (1) users have a very positive attitude toward Smart Home service in total, (2) trust in service providers, self efficacy, and interpersonal influence positively impact user attitude toward Smart Home service and interpersonal influence is the most influential variable, however, (3) perceived privacy risk and external influence dose not significantly impact it. These results imply that the role of service providers, self efficacy, and interpersonal influence are important factors on the user attitude toward Smart Home service. Finally, the study's findings and limitations are discussed and potential avenues for future research are suggested.

• Journal of Information Technology Applications and Management
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• v.18 no.2
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• pp.61-89
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• 2011

Blog is a new global phenomenon, but many research papers about organizational blog have not been shown. In this study the influencing factors of the organizational blog usage are empirically investigated, and several guidelines are suggested to IT professionals who involves the design and implementation of the organizational blog. The research model consists of seven independent variables, one dependent variable, and two moderating variables. The following variables are established as the independent variables; information, interface, service, communication, enjoy, performance expectation, and social influence. Two dimensions such as need and orientation are suggested for the moderating variables, and the actual usage is adopted as a dependent variable. As a result of multiple regression analysis using a stepwise method, the independent variables except for interface and communication affect the actual usage of organizational blogs. The moderating effects for need and orientation are partially supported. The implications of this study are as the followings; (1) The empirical factors affecting the usage of organizational blogs are empirically investigated, (2) The affecting factors vary according to the type of organizational blogs, and (3) Some guidelines are suggested for organizational blog's design.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.30
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• pp.145-174
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• 2006

An anti-dumping has become the trade policy of choice for developing countries as well as advanced countries, hence it is the impending issue to the export-oriented countries including Korea. After colligating the analysis on the trade and industrial policy between Korea and China as well as the analysis on the preceding research, the main reasons of anti-dumping were selected as followings; an unemployment rate, real GDP growth rate and consumer price increase as internal factors, and trade balance, regional coefficient and trade specification index as external factors. Then, the research on how the above seven variable factors can affect the number of anti-dumping measures was accomplished. For the empirical analysis, the above information was used after reorganizing them by on the quarterly basis. Through the use of the correlation analysis, backward elimination of multiple regression analysis model and time-series analysis, it has appeared that the unemployment rate appeared to be the most important factors of anti-dumping measures in addition to the increase rate of trade balance. The variable such as the unemployment rate is uncontrollable for us, so it is appropriate to establish and operate an preemptive monitoring system based on the increasing rate of the amount of export and increasing rate of trade surplus.