• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.1
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• pp.47-53
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• 2008

Blocking artefact noise is necessarily happened in compressed images using block-coded algorithms such as JPEC compressing algorithm. This noise is more recognizable especially in highly compressed images. In this paper, an algorithm is presented for reduction of blocking artefact noise using block division. Furthermore, we also mention about the median filter which is often used in image processing.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2003.05a
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• pp.1182-1186
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• 2003

Noise map is becoming an increasingly important tool supporting noise policy. In order to main am a quiet environment of urban areas, noise map was developed by using GIS technique which combines geographic and noise informations with a database management system. By evaluating various methods of the spatial anal: sis, it was concluded that the inverse distance weighted method gave the best results and was applied to develope the noise maps of road noise.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2001.05a
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• pp.149-154
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• 2001

Ship owners are demanding quieter vessels since crews have become more sensitive to their acoustic environment. Accordingly, designers of shipyards need to respond intelligently to the challenging requirements of delivering a quiet vessel. In early design stage, to predict shipboard noise the statistical approach is preferred to other methods because of simplicity. However, since the noise characteristics of the ships vary continuously with the environments, it is necessary to update the prediction formula with data base management system. This paper describes the feature of database program with the prediction method. Database management programs with GUI, are applied to Intranet system that is accessible by any users. Statistical approach to the prediction of A-weighted noise level in ship cabins, based on multiple regression analysis, is conducted. The noise levels in ship cabins are mainly affected by the parameters of the deadweight, the type of ship, the relative location of engines and cabins, the type of deckhouse, etc. As a result of verification, the formulas ensure the accuracy of 3 ㏈ in 83 % of cabins.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.2
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• pp.75-80
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• 2008

The impulse noise is very common and typical noise in the digital image. Many methods are invented in order to remove the impulse noise since the development of Digital Image Processing. For example, the median filter has been used for removing the impulse noise. In this paper, we try to remove the impulse noise using wavelet transformation in the wavelet-transformed detail areas. We also compare the algorithm with median filter with the visual and numerical methods. The result using the algorithm in this paper was much better than the median filter in both removing the noise and keeping the edges. The proposed algorithm needs more calculating time but has more advantages than the median filter has.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.708-709
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• 2015

In Korea, a series of noise-reduced aluminum forms are being recently used in apartment housing construction. However, their complicated and time-consuming work processes, and the noise which is still generated due to the inherent property of aluminum when especially installing and dismantling them are have been pointed out as a problem to be certainly solved for increasing their practical use in construction sites. The primary objectives of this study are to propose a conceptual design of a newly designed noise-reduced aluminum form in which the noise can be enormously decreased during form works. The conceptual design in this study improved problems of conventional system aluminum forms, and, later, a system aluminum form developed based on this conceptual design will be able to ensure noise-reduction and safety as well as excellent applicability.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2008.11a
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• pp.616-618
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• 2008

The objective of this study is to prepare the plan for managing construction noise effectively and solving the popular enmity from construction noise reasonably. In order to carry out this purpose, it covers the efficient improvement plan for installing and managing the automatically noise-measuring system which shows the advantage for construction noise management and popular enmity solution due to construction noise.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.11
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• pp.4170-4188
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• 2014

In this study, we present a denoising algorithm for high-frame-rate videos in an ultra-low illumination environment on the basis of Kalman filtering model and a new motion segmentation scheme. The Kalman filter removes temporal noise from signals by propagating error covariance statistics. Regarded as the process noise for imaging, motion is important in Kalman filtering. We propose a new motion estimation scheme that is suitable for serious noise. This scheme employs the small motion vector characteristic of high-frame-rate videos. Small changing patches are intentionally neglected because distinguishing details from large-scale noise is difficult and unimportant. Finally, a spatial bilateral filter is used to improve denoising capability in the motion area. Experiments are performed on videos with both synthetic and real noises. Results show that the proposed algorithm outperforms other state-of-the-art methods in both peak signal-to-noise ratio objective evaluation and visual quality.

• Journal of Environmental Impact Assessment
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• v.22 no.4
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• pp.369-379
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• 2013

Noise and vibration problems at the construction site, expansion of construction scale and frequency of urban construction is increased, has given the damage to local residents. Also, the result of civil complaint about noise and vibration that occurred in 2011 was 56,244; it is showing an increasing trend of more than 4% annually. In particular, the construction noise and vibration, the civil complaints of around construction site accounts for 64.6%(36,353), are harmful to the tranquility of living environment. As a result, the government has managed to strengthen the regulatory standard of construction noise (65dB(A), Day-time) from 2011. However, the regulatory standard of construction noise and vibration does not meet and also complaints related the construction noise and vibration not decreased. Because the management system can be applied to the construction site is insufficient and a shortage of manpower. In this study, investigated the status and problems of the regulatory standards related to construction noise and vibration, we propose an efficient management plan of construction noise and vibration.

• Korean Journal of Construction Engineering and Management
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• v.5 no.6 s.22
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• pp.110-117
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• 2004

The environmental-related disputes and claims are steeply increasing recently. Among them the number of disputes and claims on noise and vibration incurred in the process of construction is more than $85\%$. Since those disputes and claims cause cost overrun and or penalty and bad impression for the construction company, it is necessary to develop a systematic management method for solving them. This study presents a environmental management structure based on the examining many kinds of environmental-related laws including 'The Act on Regulation of Noise and Vibration' furthermore, through analysing various dispute and claim cases, and surveying literatures we suggest environmental study noise and vibration management method using for the preconstruction phase, the construction phase and the post construction phase, respectively.

• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.1
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• pp.109-141
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• 1998

Many processes in the industrial realm exhibit sstochastic and nonlinear behavior. Consequently, an intelligent system must be able to nonlinear production processes as well as probabilistic phenomena. In order for a knowledge based system to control a manufacturing processes as well as probabilistic phenomena. In order for a knowledge based system to control manufacturing process, an important capability is that of prediction : forecasting the future trajectory of a process as well as the consequences of the control action. This paper examines the robustness of data mining tools under varying levels of noise while predicting nonlinear processes, includinb chaotic behavior. The evaluated models include the perceptron neural network using backpropagation (BPN), the recurrent neural network (RNN) and case based reasoning (CBR). The concepts are crystallized through a case study in predicting a chaotic process in the presence of various patterns of noise.