Development and Basic Experiment of Active Noise Control System for Reduction of Road Noise

Moon, Hak Ryong; Kang, Won Pyoung; Lim, You Jin

doi:10.7855/ijhe.2013.15.6.041

Cited by 3 publications

(4 citation statements)

References 3 publications

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“…One is that the illumination chromaticity Γ lies on the Planckian locus that describes the chromaticity of black body radiators with respect to temperature [10]. To use this prior, we first express illumination chromaticity as (x c , y c ) in CIE xy space, which can be converted from RGB as described in [4]. The Planckian locus in CIE xy space is defined as…”

Section: Illuminationmentioning

confidence: 99%

Intrinsic Face Image Decomposition with Human Face Priors

Zhou

Lin

2014

Lecture Notes in Computer Science

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We present a method for decomposing a single face photograph into its intrinsic image components. Intrinsic image decomposition has commonly been used to facilitate image editing operations such as relighting and re-texturing. Although current single-image intrinsic image methods are able to obtain an approximate decomposition, image operations involving the human face require greater accuracy since slight errors can lead to visually disturbing results. To improve decomposition for faces, we propose to utilize human face priors as constraints for intrinsic image estimation. These priors include statistics on skin reflectance and facial geometry. We also make use of a physically-based model of skin translucency to heighten accuracy, as well as to further decompose the reflectance image into a diffuse and a specular component. With the use of priors and a skin reflectance model for human faces, our method is able to achieve appreciable improvements in intrinsic image decomposition over more generic techniques.

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Section: Illuminationmentioning

confidence: 99%

Intrinsic Face Image Decomposition with Human Face Priors

Zhou

Lin

2014

Lecture Notes in Computer Science

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“…In their present form, however, both sets of legislation are too liberal to have had any significant effect, and the number of people exposed to ambient noise has consequently increased rather than declined (Den Boer, Schroten 2007). As one of the most popular methods to reduce road traffic noise, noise barriers are installed along the road, but the excessive cost of installation and maintenance has been identified as the problem, and rising height has increasingly been a blot on the landscape (Moon et al 2013). In Japan, active noise control technology was applied to noise barriers in 2004.…”

Section: Introductionmentioning

confidence: 99%

“…In Japan, active noise control technology was applied to noise barriers in 2004. Active noise reduction technology is intended to reduce the noise by generating counter-noise with the same level and frequency after converting 180° the frequency of the noise (Moon et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of Carriageway Operational Condition Influence on Acoustic Roadside Area Pollution

et al. 2019

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Environmental noise management is an important part of the policy across the EU policy context, because transportation noise is a significant local environmental problem for most of the urban population. Increasing numbers of vehicles are associated with growing noise levels from road transport in urban areas and rising public health problems. Motor transport is considered to be a main source of noise pollution, so it is important to investigate the level of traffic noise and assess the relationship with traffic flows. The paper describes the main methods for determination of noise characteristics of traffic flows. The dependences for the prediction of the equivalent noise level and the results of field measurements of sound levels are presented. The results of field experiments and the calculated values of sound levels obtained by the analytical method are tested for homogeneity, using the Wilcoxon test. Experimental studies have established that the external sound level depends largely on the speed of vehicles, road conditions, and basic operating characteristics of highways. The analytical method associated with the use of deterministic and probabilistic models makes it possible to predict the traffic noise. But when dealing with the foregoing methods, there arise specific problems, many of which have not been resolved: there is no uniform terminology, nor is there any consensus on the use of noise characteristics of traffic flows in calculations at different stages of construction and reconstruction of highways of a certain traffic flow model under conditions of human settlements. Standardized measurement methods have been established and revised throughout the years by many renowned researchers. These methodologies have been revised in order to minimize problems that may occur and may not be foreseen by a less experienced researcher when adopting the measurement methods. Standardizing the measurement method is also useful for researchers because it becomes possible for researchers from around the world to compare their data. The joint effect of road conditions and the operational status of the roadway on the acoustic pollution of the roadside area is not fully taken into account. Therefore, applying the internationally recognized acoustical measurement standards is a good way to start any noise measurement experiment. The purpose of experimental research is to investigate the joint effect of road conditions and the operational status of the roadway on the acoustic pollution of the roadside area of settlements: identify the main characteristics of noise produced by traffic flows, consider the comparability of results of the field experiment and analytical computations. Slopes of 20…40‰ have little impact on the noise caused by the movement of passenger cars and trucks. In this case, the average acoustic emissions are identical to those used in the prediction of noise mode.

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“…As shown in Figure 1, the active noise cancelation is a method to reduce the noise level and frequency by generating noise with station by converting the frequency phase of target noise by 180 ˚. (Moon et al, 2013) Under this research, the ANC was developed. The 1st test using single frequency noise through research of Moon H. R.(2013) was carried out.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study Reducing Road Noise Using Active Noise Cancelation

Kang

Moon

Lim

2014

AMM

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This research has developed the active noise cancelation (ANC) equipment for reducing road traffic noise. This ANC equipment is consisted of microphones, controllers and speakers. This research has conducted simulation by using the noise source that was recorded at the roads to confirm the ANC equipment. The simulation conducted in the field used 1 non-directional speaker and 2-directional speakers. Also, this simulation applied the Fx LMS algorithm. The result of this study showed that the non-directional speaker was shown to reduce the maximum of 5.5 dB (A) in low frequency band. And, the 2 directional speakers was shown to reduce the noise for 2.5 dB (A) and 3.8 dB (A), respectively. This equipment did not diffuse anyexternal influence and operated stably.

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Development and Basic Experiment of Active Noise Control System for Reduction of Road Noise

Cited by 3 publications

References 3 publications

Intrinsic Face Image Decomposition with Human Face Priors

Intrinsic Face Image Decomposition with Human Face Priors

Experimental Study of Carriageway Operational Condition Influence on Acoustic Roadside Area Pollution

A Comparative Study Reducing Road Noise Using Active Noise Cancelation

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