• Proceedings of the Safety Management and Science Conference
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• 2012.11a
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• pp.431-434
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• 2012

The paper reviews properties of hypothesis decision approaches using rejection region and significance probability. The study also presents the guidelines for quality practioners to implement most useful hypothesis testing techniques such as RR(Rejection Region) approach and P-Value approach.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2000.11a
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• pp.443-448
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• 2000

In this paper, we propose a novel adaptive feedforward controller for periodic disturbance and noise cancellation, with a frequency tracking capability. It can be added to an existing feedback control system without altering the original closed-loop characteristics, which is based on adaptive algorithm. We introduce novel algorithm "Constrained AFC(adaptive feedforward controller) algorithm" that increase the convergence region regardless of the delay in the closed loop system. In the algorithms, coefficients of the controller are adapted using the residuals of constrained structure which are defined in such a way that the coefficients become time invariant. The proposed algorithm not only estimate the magnitude and phase of the tonal disturbance and noise but also track the frequency of the tone, which changes in quasi-static manner. The frequency tracking algorithm uses the instantaneous frequency approach based on Hilbert transform. A number of computer simulations have been carried out in order to demonstrate the effectiveness of proposed method under various conditions.

• Journal of the Korean Society of Systems Engineering
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• v.15 no.1
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• pp.43-50
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• 2019

Statistical hypothesis tests are important for quantifying answers to questions about samples of data. The Step Process of Statistical Hypothesis Testing; state the null hypothesis, State the alternate hypothesis, State the alpha level, Find the z-score associated with alpha level, Find the test statistic using this formula, If the calculated t distribution value from the data is larger than the t distribution value of alpha level, then you are in the Rejection region and you can reject the Null Hypothesis with ($1-{\alpha}$) level of confidence.

• Journal of Advanced Technology Convergence
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• v.2 no.4
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• pp.21-30
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• 2023

This paper tried to determine whether emotional dysregulation would function as a mediating variable when social exclusion affects SNS addiction tendencies. For this purpose, a survey was conducted targeting students enrolled in a university located in the central region. Responses from 298 people were analyzed. The analysis results show that social exclusion completely mediates emotional dysregulation and influences SNS addiction tendencies. Meanwhile, we set the two sub-dimensions of social exclusion as independent variables to determine whether it influences SNS addiction tendency through emotion regulation. It was found that the experience of being ignored influenced the tendency to addict to SNS by partially mediating the experience of emotion regulation, while the experience of rejection was found to affect the tendency to addict to SNS by fully mediating the experience of emotion regulation. These analysis results show that when establishing social exclusion as an influential factor in SNS addiction tendency, it is meaningful not only to set it as an overall factor but also to approach it by dividing it into individual factors.