• Proceedings of the KIEE Conference
• /
• 1988.07a
• /
• pp.636-639
• /
• 1988

This paper suggests the operation performing the noise elimination of binary image. The image is read by the scanner. And operand is selected according to the size of input image. Through the Dilation and Erosion, elementary vector operation with selected operand, the noise of input image is eliminated.

• Proceedings of the KIEE Conference
• /
• 1995.07b
• /
• pp.810-812
• /
• 1995

Effects of positions of transducers and of distances between transducers on attenuation properties of active noise control systems is investigated via computer simulations. Computer simulations show that the acoustic monopole and dipole systems for duct noise attenuation are sensitive to variations of the transducer location.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2009.10a
• /
• pp.370-375
• /
• 2009

The purpose of this study is to reduce the vibration of the computer by developing the vibration absorber and damper. The eccentricity of the cooling fan causes the vibration of the computer. We designed the material properties of the vibration absorber by FEM model within operation frequencies of the cooling fan. We experiment the overall analysis and system analysis. The vibration of cooling fan is measured by using a laser vibrometer. The result shows that the proposed vibration absorber and damper reduce the vibration of the computer.

• Proceedings of the IEEK Conference
• /
• 2005.11a
• /
• pp.893-896
• /
• 2005

This paper describes Low Noise Amplifier(LNA) and Single Balanced Mixer(SBM) with monolithic image rejection notch filter using 0.5um MESFET process. LNA, Notch filter, and SBM were integrated on a chip. This chip does not need off chip SAW filter, thereby reducing the overall cost and system volume. The LNA with Notch filter provides a gain of 15dB, noise figure of 1.2dB, and image rejection ratio of -74dB. The SBM has a conversion gain of 6dB.

• Speech Sciences
• /
• v.9 no.1
• /
• pp.39-47
• /
• 2002

This paper proposes an effective method to remedy the acoustic modeling problem inherent in the usual log-normal Parallel Model Composition intended for achieving robust speech recognition. In particular, the Gaussian kernels under the prescribed log-normal PMC cannot sufficiently express the corrupted speech distributions. The proposed scheme corrects this deficiency by judiciously selecting the 'fairly' corrupted component and by re-estimating it as a mixture of two distributions using data-driven PMC. As a result, some components become merged while equal number of components split. The determination for splitting or merging is achieved by means of measuring the similarity of the corrupted speech model to those of the clean model and the noise model. The experimental results indicate that the suggested algorithm is effective in representing the corrupted speech distributions and attains consistent improvement over various SNR and noise cases.

• Transactions of the Korean Society for Noise and Vibration Engineering
• /
• v.21 no.4
• /
• pp.339-345
• /
• 2011

The purpose of this study is reduction the vibration of the personal computer by developing the vibration absorber and damper. The eccentricity of the cooling fan causes the vibration of the computer. We designed the material properties of the vibration absorber and damper by FEM model within operation frequencies of the cooling fan. We experiment the overall analysis and system analysis by using a laser vibrometer. The result shows that the proposed dynamic absorber and damper reduce the vibration of the personal computer.

• Proceedings of the KIEE Conference
• /
• 2001.07d
• /
• pp.1961-1963
• /
• 2001

In a target tracking problem, the radar glint noise has non-Gaussian heavy-tailed distribution and will seriously affect the target tracking performance. In this study, an extended robust $H_{\infty}$ was developed which can significantly improve the tracking performance when glint noise is present. Through the computer simulations, the proposed filter showed superior and robust tracking performance compared with other extended Kalman filters.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.8
• /
• pp.53-59
• /
• 2015

Noise from the surrounding environment, building structures and machine equipment have significant effects on daily life. Many solutions to this problem have been suggested by analyzing causes of noise generated from particular locations in general buildings or machine equipment and detecting defects of buildings or equipment. Therefore, this paper suggests a visualization technique of sounds by using the microphone array to measure sound sources from machines and perform the visual machine condition monitoring (VMCM). By analyzing sound signals and presenting effective sound visualization methods, it can be applied to identify machine's conditions and correct errors through real-time monitoring and visualization of noise generated from the plant machine equipment.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.15 no.2
• /
• pp.102-110
• /
• 2015

The main source of noise in computed tomography (CT) images is a quantum noise, which results from statistical fluctuations of X-ray quanta reaching the detector. This paper proposes a neural network (NN) based hybrid filter for removing quantum noise. The proposed filter consists of bilateral filters (BFs), a single or multiple neural edge enhancer(s) (NEE), and a neural filter (NF) to combine them. The BFs take into account the difference in value from the neighbors, to preserve edges while smoothing. The NEE is used to clearly enhance the desired edges from noisy images. The NF acts like a fusion operator, and attempts to construct an enhanced output image. Several measurements are used to evaluate the image quality, like the root mean square error (RMSE), the improvement in signal to noise ratio (ISNR), the standard deviation ratio (MSR), and the contrast to noise ratio (CNR). Also, the modulation transfer function (MTF) is used as a means of determining how well the edge structure is preserved. In terms of all those measurements and means, the proposed filter shows better performance than the guided filter, and the nonlocal means (NLM) filter. In addition, there is no severe restriction to select the number of inputs for the fusion operator differently from the neuro-fuzzy system. Therefore, without concerning too much about the filter selection for fusion, one could apply the proposed hybrid filter to various images with different modalities, once the corresponding noise characteristics are explored.

• 전기의세계
• /
• v.29 no.12
• /
• pp.798-803
• /
• 1980

A computer program for noise analysis of the audio circuit is developed. The application of the program to the equalizer, low frequency amplifier of radio circuit and cascaded amplifier show good results. The general noise analysis method for cascade operational amplifier is presented. The noise spectral power density is calculated for a resonator active filter.