• Journal of the Korean Statistical Society
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• v.29 no.2
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• pp.231-245
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• 2000

This paper considers a linear regression model with space and time data in where the disturbances follow spatially correlated error components. We provide the best linear unbiased predictor for the one way error components. We provide the best linear unbiased predictor for the one way error component model with spatial autocorrelation. Further, we derive two diagnostic test statistics for the assessment of model specification due to spatial dependence and random effects as an application of the Lagrange Multiplier principle.

• Journal of the Korean Statistical Society
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• v.33 no.4
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• pp.435-447
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• 2004

In additive nonparametric regression, Linton and Nielsen (1995) showed that the marginal integration when applied to the local linear smoother produces a rate-optimal estimator of each univariate component function for the case where the dimension of the predictor is two. In this paper we give new formulas for the bias and variance of the marginal integration regression estimators which are valid for boundary areas as well as fixed interior points, and show the local linear marginal integration estimator is in fact rate-optimal when the dimension of the predictor is less than or equal to four. We extend the results to the case of the local polynomial smoother, too.

• IEMEK Journal of Embedded Systems and Applications
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• v.15 no.2
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• pp.103-109
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• 2020

This paper finds solutions for using ZigBee in wireless networked control system (WNCS). The round trip time delay and packet loss rate of the WNCS are measured. On the basis of these measured data, a playback buffer is used to solve the variable time delay in WNCS, and a Smith predictor is introduced to compensate for the time delay. The WNCS was able to be actually constructed to perform DC motor position control with 40 Hz sampling frequency.

• Journal of the Korea Society for Simulation
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• v.2 no.1
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• pp.125-133
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• 1993

A statistical method is described for estimation of the unknown constants in a theory using both of the computer simulation data and the real experimental data, The best linear unbiased predictor based on a spatial linear model is fitted from the computer simulation data alone. Then nonlinear least squares estimation method is applied to the real experimental data using the fitted prediction model as if it were the true simulation model. An application to the computational nuclear fusion devices is presented, where the nonlinear least squares estimates of four transport coefficients of the theoretical nuclear fusion model are obtained.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.143-144
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• 2006

This paper presents an adaptive OFDM system with multistep predictor to effectively compensate multiple feedback delays. The proposed scheme adaptively changes the modulation order per subcarrier based on the predicted CSI to improve data capacity and system performance.

• Journal of Industrial Convergence
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• v.4 no.1
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• pp.109-132
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• 2006

The purpose of this paper is to examine the relationships among service quality, corporate image, and customer satisfaction of a financial institution in J city of Gyeongnam. The results show as follows. First, service quality affects positively corporate image. Second, service quality affects positively customer satisfaction. Third, corporate image affects positively customer satisfaction. Specifically, among the dimensions of service quality, the most significant predictor of corporate image is responsiveness, while the most significant predictor of customer satisfaction is tangibles. Further discussion and managerial implications can be drawn from these findings.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.1
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• pp.77-84
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• 2017

Generally, a time-varying vibration signal is generated in a rotating machine system, and when there is a failure in the rotating machine, the signal contains noise. In this paper, we propose a system consisting of an adaptive predictor and a binary tree filter bank for analyzing time - varying vibration signals with noise. And the vibration signal analyzed results in this system is used for fault diagnosis of the rotating machine. The adaptive predictor of the proposed system predicts the periodic signal components, and the filter bank system decomposes the difference signal between the input signal and the predicted periodic signal into subband. Since each subband signal includes a noise signal component due to a failure, it is possible to diagnose the failure of the using rotary machine. The validity of the proposed vibration signal analysis method is shown in the simulations, where the periodic components cancelled vibrating signals are decomposed to 32 subband, and the signal characteristics related faults are analyzed.

• Journal of the Korean Home Economics Association
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• v.33 no.1
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• pp.125-140
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• 1995

The purpose of this study was to answer the following questions. (1) Is there any relationship between father's child-rearing behavior and children's role-taking, between father's child-rearing behaviors and children's prosocial behavior?(2) Is there any relationship between children's role-taking and children's prosocial behavior? (3) Is there any differences in father's child-rearing behaviors, children's role-taking and children's prosocial behavior in relation to children's sex, SES, and mother's job? (4) what are the most important predictor variables which influence on children's role-taking? (5) What are the most important predictor variables which influence on children's prosocial behavior? The subjects of this study were 72boys and 70girls attending the nursery schools and their mothers in Busan. For the measurement of father's child-rearing behaviors, Choi's(1991) questionnare were used and for children's role-taking, children were interviewed with the Flavell's apple-dog stories. children's prosocial behavior was measured by amount of candies to share with classmates. The results were as follows: (1) There were significant correlation between father's child-rearing behaviors and children's role-taking, between father's was positively related to children's prosocial behavior. (2) Children's role-taking was positively related to children's prosocial behavior. (3) There were significant differences in father's child-rearing behaviors, children's role-taking and children's prosocial behavior according to children's sex, SES, and mother's job. (4) Father's child-rearing behaviors and SES were the most important predictor variables influencing on children's role-taking. (5) Children's sex, children's role-taking and father's childrearing behaviors were the most important predictor variables influencing on children's prosocial behavior. The findings stated above seemed father's child-rearing behaviors and children's role-taking, influenced on children's prosocial behavior.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.64-70
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• 2008

Computer Assisted Learning (CAL) is quite different from in many aspects. CAL provides individualistic learning environment and facilitates autonomy of the learner. Thus the learners who uses CAL program has more sense of control and engages in more strategic learning than conventional learning environment. In this experiment, we used KORI (KORea university intelligent agent) which is a new type of ITS adopting TA (Teachable Agent) that fosters learning by teaching, So, we investigated the critical motivational factor that have influences in CAL learning and the effects of reward in CAL are another area of our interest. Thus, we divided two conditions that presence of reward and absence of reward. The 174 elementary school students(5th) were participated and they are randomly assigned the one of the reward conditions. Before entering the experimental instruction, all participants measured about metacognition, self-efficacy and goal orientation questionnaire as independent variables. Then, Participants were instructed of method of using KORI program and asked to study for ten days with KORI program at least 20 minutes everyday in their home, about 10 days. After 10 days, they were rated interest and comprehension. Regression results suggest that regardless of the presence of reward, metacognition is a positive predictor in interestingness. It indicate that metacognitive skills are required in CAL learning situation irrespective of reward. But on comprehension in the absence of reward, only self- efficacy appeared to be a positive predictor. In the presence of reward, performance goal orientation showed as a negative predictor of comprehension, whereas self-efficacy was a positive predictor. This result suggest that presence of reward especially interferes learning process of performance goal orientation in CAL learning situation. It could be interpreted that reward interferes the learning process of performance goal orientation by debilitating intrinsic motivation.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.47 no.5
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• pp.24-30
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• 2010

In this paper, we described intra prediction which is the one of techniques to be used for higher compression performance in H.264/AVC and proposed the design of intra predictor for efficient intra prediction mode processing. The proposed system is consist of processing elements, precomputation processing elements, an intra prediction controller, an internal memory and a register controller. The proposed system needs the reduced the computation cycles by using processing elements and precomputation processing element and also needs the reduced the number of access time to external memory by using internal memory and registers architecture. We designed the proposed system with Verilog-HDL and verified with suitable test vectors which are encoded YUV files. The proposed architecture belongs to the baseline profile of H.264/AVC decoder and is suitable for portable devices such as cellular phone with the size of $176{\times}144$. As a result of experiment, the performance of the proposed intra predictor is about 60% higher than that of the previous one.