• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.05a
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• pp.707-711
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• 2004

Recently, the interests about noises have increased with the rapid development of our living environment Until now the estimation methods to sounds have used the equivalent levels. The sensitivities of human beings aren't considered in these methods. It's a situation to need new estimation methods for environmental noises. They must be analyzed by the characteristics of sounds before making the noise regulations newly. In this study, the noises were measured around our living environment And the frequency analysis, Sound Quality Metrics, the cluster analysis and so on are used to classify the environmental noises.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1997.03a
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• pp.188-191
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• 1997

In the recent sheet metal forming simulations, it increases to adopt the dynamic explicit method for an effective computation and the elastic-plastic formulation for stress recovery. It is inevitable in the dynamic explicit method that some noises occur and sometimes partly spoil results of simulations. It is severer when complicated contact conditions are included in simulations. An effective method to control these noises is introduction of damping effects. In this paper, the concept of contact damping is introduced in order to suppress noises due to complicated contact conditions. This is checked by analyzing a simple sheet metal forming process(U-bending). From the computational results, it is shown that the contact damping can effectively control the noises due to contacts and develop more reliable internal stress states.

• Journal of the Korea Institute of Military Science and Technology
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• v.17 no.5
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• pp.569-576
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• 2014

There were overwhelming high-frequency electromagnetic noises in 200kW-class hybrid electric vehicle(HEV) although EMC control strategy had been applied to cope with the electromagnetic noises during the development of HEV. This paper investigates the characteristics of the conducted and radiated emission noises, the source and path of noises, and the effects of EMI on the electronics. Finally the design concept of noise control is proposed.

• International Journal of Precision Engineering and Manufacturing
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• v.8 no.3
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• pp.45-49
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• 2007

A gearing system emits inconsistent noises from the impact of gear teeth when defects are present, but it is not easy for a noise inspector on a production line to distinguish defective products objectively. Since customers constantly complain about various noises from geared motors, it is desirable to devise an analytical technique to classify motors. However, it is difficult to separate inconsistent noises due to defective gears from the overall noise produced by a geared motor using a general signal processing method such as a FFT because low frequency impulse signals have a tendency not to appear in the frequency domain. In this paper, we propose a method that can be used to obtain more objective estimates and measurements of inconsistent noises from a gearing system. The proposed method makes use of the cepstrum domain with an applied autocorrelation and comb lifter, followed by a domain inversion.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.2
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• pp.102-108
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• 2001

In this paper, an active noise controller for a communication headset was designed. In a communication headset, there exist information signals such as voices from the end for the communication line as well as also, undesirable noises with are induced by external noise sources such as engine noises. Therefore, it is necessary to reduce the external noises for clear hearing of the communication signals. This problem was solved by robust H(sub)$\infty$ controller to reduce noise and a compensator for information signals The designed controller was implemented using TMS320C31 DSP Op-amp, and several experiments were performed to verify its performance. The results showed that the controller reduces the undesirable noises sufficiently, while communication signals are not reduced.

• Journal of information and communication convergence engineering
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• v.5 no.1
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• pp.1-6
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• 2007

In the process of the acquisition, storage, transmission of signals, noises are generated by various causes and the degradation phenomenon by noises tends to generate serious errors for the signal with information. So, in order to analyze and remove these noises, studies on numerous mathematical methods such as the Fourier transform have been implemented. And recently there have been many ongoing wavelet-based denoising algorithms representing excellent characteristics in time-frequency localization and multiresolution analysis, but the method to remove additive white Gaussian noise (AWGN) and the impulse noise simultaneously was not given. So, to reconstruct the corrupted signal by noises, in this paper a novel wavelet-based denoising algorithm was proposed and using signal-to-noise ratio (SNR) this method was compared to conventional methods.

• Proceedings of the KIEE Conference
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• 2004.11a
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• pp.107-109
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• 2004

It is well known that on-site corona and various noises make severe problems on the PD(partial discharge) measurement. In this paper, for the improvement of the on-site PD measuring performance, the applicability of TF(Time-Frequency) map was investigated. For the purpose, PDs that can be generated from the defect in the power cables as well as corona discharges and ground noises were measured. And through the TF analysis for the measured data, we have tried to distinguish the real PDs, corona discharges and noises. As a result, it is confirmed that the data of PDs can be clustered themselves separable from other data such as corona and noises on the TF map.

• Journal of Veterinary Clinics
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• v.24 no.2
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• pp.109-113
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• 2007

This study was performed to find out how the training for overcoming the fear of and adapting to unfamiliar environments and noises, such as exposures at different levels to noises of a helicopter, affected German Shepherd dogs' characteristics to a specific condition. One hundred and nine German Shepherd dogs were tested in this study. There were no significant differences between genders, tasks, experiences boarding a helicopter, tempers and lengths of time spent with the handler in fearful scores. The dogs at different ages showed significant differences in their fearful scores at the time of the arrival of the helicopter(p<0.001) and approaching to it(p<0.01). In conclusion in the cases of the German Shepherd dogs, there's a need to re-examine the existing training methods for overcoming the fear of and adapting to unfamiliar materials and noises.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2001.11b
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• pp.910-915
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• 2001

For the environmental noises has various frequency spectrums and fluctuation characteristics. the dimensions of psychological influencing on persons IS also complex. Analyzing this complex-dimensional psychological factors and characteristics of them then developing the evaluation indexes which have a good correspondence are important for improvement of noise environment. To develop the effective evaluation procedures which reflect the psychological respects of persons, this study firstly we drove the psychological factors and classified the noises into several groups by their psychological response characteristics through the psycho-acoustical experiments using environmental noises. In addition, we analyzed the relationship between the various evaluation indexes, psychological factors and the noise groups, and then suggested several indexes for the simple and efficient psycho-acoustic evaluation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.112-114
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• 2014

Generally, images are corrupted by the impulse or AWGN and there are cases where both of these noises are added at once. When it comes to eliminating the noises added to the image, the previous median filter is effective in removing the impulse noise and the average filter is effective for removing AWGN. However, when the complex noises are added, it lacks the noise suppression characteristics, thus in this paper, a non-linear filter algorithm for removing the complex noises was proposed. The simulation results shows the proposed algorithm has excellent de-noising capabilities of compare existing methods.