Log in

Relevant bibliographies by topics / Impact noise / Journal articles

To see the other types of publications on this topic, follow the link: Impact noise.

Journal articles on the topic 'Impact noise'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Impact noise.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Yang, Wonyoung, Myung-Jun Kim, and Hyeun Jun Moon. "Effects of indoor temperature and background noise on floor impact noise perception." Indoor and Built Environment 28, no. 4 (January 23, 2018): 454–69. http://dx.doi.org/10.1177/1420326x17753708.

Full text

Abstract:

This study investigates effects of room air temperature and background noise on the perception of floor impact noises in a room. Floor impact noises were recorded in apartment buildings and were presented in an indoor climate chamber with background noise for subjective evaluation. Thirty-two participants were subjected to all combinations of three thermal conditions (20%C, 25%C, 30%C and relative humidity 50%), four background noise types (Babble, Fan, Traffic and Water), three background noise levels (35 dBA, 40 dBA and 45 dBA) and four floor impact noises (Man Jumping, Children Running, Man Running and Chair Scraping). After a 1-h thermal adaptation period for each thermal condition, the participants were asked to evaluate their thermal and acoustic perceptions. Statistically significant effects were found for the room air temperature and background noise level on the perception of the floor impact noises. Noisiness, loudness and complaints of floor impact noise increased with increasing room temperature and background noise level. Annoyance of floor impact noise showed a peak in acceptable thermal environment for general comfort. Room air temperature was a dominant non-auditory factor contributing to floor impact noise annoyance, while the floor impact noise level influenced the floor impact noise loudness and the floor impact noisiness was almost equally affected by the room temperature, background noise level and floor impact noise level. Further investigation is needed to fully understand the combined perception of floor impact noise under various indoor environmental conditions.

APA, Harvard, Vancouver, ISO, and other styles

2

KAGEYAMA, Keitaro, Shinya KIJIMOTO, Koichi MATSUDA, Yousuke KOBA, and Ikuma IKEDA. "Active Noise Reduction of Impact Noise." Transactions of the Japan Society of Mechanical Engineers Series C 74, no. 748 (2008): 2904–9. http://dx.doi.org/10.1299/kikaic.74.2904.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Manohare, Manish, E. Rajasekar, Manoranjan Parida, and Sunali Vij. "Bibliometric analysis and review of auditory and non-auditory health impact due to road traffic noise exposure." Noise Mapping 9, no. 1 (January 1, 2022): 67–88. http://dx.doi.org/10.1515/noise-2022-0005.

Full text

Abstract:

Abstract This paper presents a bibliometric and critical review of auditory and non-auditory health impacts due to road traffic noise exposure. The paper discusses the general trends of studies conducted in the research domain using the bibliometric network approach. These networks are based on citation, bibliographic coupling, and co-authorship relationships. Further, a critical review is conducted to summarise the auditory and non-auditory impacts due to traffic noise exposure. Auditory health impact issues such as noise-induced hearing loss (NIHL) and tinnitus are presented. Non-auditory impacts are categorised as physiology and performance-related impacts. Physiology related health impact includes a review of cardiovascular and sleep disturbance issues due to noise. Performance-related health impact includes annoyance and cognitive impairment issues. This paper discusses the severity level, different exposure-response relationships, techniques, and empirical models developed to assess the magnitude of these health impacts. Subjective and laboratory assessment techniques used to analyse the health impact through various modeling and statistical approaches are considered. Additionally, a scenario analysis of health impact due to heterogeneous transportation is performed. An assessment is done to find the applicability of health risk prediction models in heterogeneous traffic conditions.

APA, Harvard, Vancouver, ISO, and other styles

4

Burn, Melissa M., and Kevin A. Bradley. "Noise impact model." Journal of the Acoustical Society of America 104, no. 3 (September 1998): 1750. http://dx.doi.org/10.1121/1.423660.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

KOBA, Yosuke, Shinya KIJIMOTO, Ikuma IKEDA, Keitaro KAGEYAMA, and Koichi MATSUDA. "621 Active Noise Control of Impact Noise." Proceedings of the Dynamics & Design Conference 2008 (2008): _621–1_—_621–5_. http://dx.doi.org/10.1299/jsmedmc.2008._621-1_.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Kageyama, Keitaro, Sinya Kijimoto, Koichi Matuda, Yosuke Koba, and Ikuma Ikeda. "F15 Active Noise Reduction for impact noise." Proceedings of Conference of Kyushu Branch 2008.61 (2008): 177–78. http://dx.doi.org/10.1299/jsmekyushu.2008.61.177.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

KAGEYAMA, Keitaro, Shinya KIJIMOTO, Koichi MATSUDA, Yosuke KOBA, and Ikuma IKEDA. "133 Active Noise Reduction of impact noise." Proceedings of the Symposium on Environmental Engineering 2008.18 (2008): 148–51. http://dx.doi.org/10.1299/jsmeenv.2008.18.148.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Sheldon, Alexander, Leonid Belostotski, Geoffrey Messier, and Arjuna Madanayake. "Impact of Noise Bandwidth on Noise Figure." IEEE Transactions on Instrumentation and Measurement 68, no. 7 (July 2019): 2662–64. http://dx.doi.org/10.1109/tim.2019.2900145.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

NAKAMURA, Shota, Shinya KIJIMOTO, Yosuke KOBA, and Ikuma IKEDA. "631 Active Noise Control for Impact Noise." Proceedings of the Dynamics & Design Conference 2011 (2011): _631–1_—_631–7_. http://dx.doi.org/10.1299/jsmedmc.2011._631-1_.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Kaku, J., and M. Yamashita. "Impact noise from railroads." Journal of Sound and Vibration 120, no. 2 (January 1988): 333–37. http://dx.doi.org/10.1016/0022-460x(88)90442-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Lapp, Steven. "Noise in Classrooms." Journal for Activist Science and Technology Education 11, no. 1 (May 10, 2020): 1–5. http://dx.doi.org/10.33137/jaste.v11i1.34249.

Full text

Abstract:

Noise in the classroom has been found to have a negative impact on students. However, what can be done to lessen the impact of noise on student performance? How do students perceive noise in the classroom? How do students feel noise impacts on their ability to pay attention and learn in a classroom environment? My previous action project suggested that noise has a negative impact on student performance (Lapp, 2018). This action project was geared to determine whether cost effective baffolds found in Cawthra Park Secondary School’s library could lessen the noise levels. It was also geared to understand how students perceived noise and its effects in a classroom environment. The results suggested that the use of baffolds had a positive impact on lessening noise. It was also noteworthy that students tended to underestimate the noise levels in their classrooms. However, those that perceived the noise as being louder were more aware of its negative impacts than those who perceived the noise as being quieter.

APA, Harvard, Vancouver, ISO, and other styles

12

Arenas, Jorge, Jorge Cardenas, Christian Robertson, and Jose L. Urnia. "Assessment of hearing loss risk due to impact noise in industrial environments." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 1 (February 1, 2023): 6362–68. http://dx.doi.org/10.3397/in_2022_0954.

Full text

Abstract:

Impact noises are often found in industrial environments and they are predominant in mining, construction, factories, workshops, and shipyards. It is well-known that impact noises are more likely to cause noise-induced hearing loss than continuous noise of equal energy. Impulse noises are characterized by their high intensity over a short period of time and many countries have defined impulse noise exposure limits and criteria in occupational settings. They are based on the sound level measurements made using standard sound pressure level meters and dosemeters. However, because of their metrological limitations, it is not appropriate to use these instruments when dealing with such high peak levels and short duration times. Extensive research on hearing damage produced by impulse noise generated by firearms has been presented, mainly on police and military personnel. These studies have led to damage risk criteria contained in various versions of the standard MIL-STD-1474. Although industrial noises can reach similar peak sound pressure levels, not many results have been published on the subject. In this work, several common sources of industrial impact noise were measured in-situ, at the worker locations, using a specialized system equipped with high-dynamic-range microphones and a very high data acquisition rate. The signals were post-processed to obtain the main metrics defined for impulse noise exposure assessment. Then, occupational hearing loss risk was estimated using different criteria. It is shown that many common industrial processes reported a very high risk of impulsive noise to human hearing.

APA, Harvard, Vancouver, ISO, and other styles

13

Van Hulse, Jason, Taghi M. Khoshgoftaar, and Amri Napolitano. "Evaluating the Impact of Data Quality on Sampling." Journal of Information & Knowledge Management 10, no. 03 (September 2011): 225–45. http://dx.doi.org/10.1142/s021964921100295x.

Full text

Abstract:

Learning from imbalanced training data can be a difficult endeavour, and the task is made even more challenging if the data is of low quality or the size of the training dataset is small. Data sampling is a commonly used method for improving learner performance when data is imbalanced. However, little effort has been put forth to investigate the performance of data sampling techniques when data is both noisy and imbalanced. In this work, we present a comprehensive empirical investigation of the impact of changes in four training dataset characteristics — dataset size, class distribution, noise level and noise distribution — on data sampling techniques. We present the performance of four common data sampling techniques using 11 learning algorithms. The results, which are based on an extensive suite of experiments for which over 15 million models were trained and evaluated, show that: (1) even for relatively clean datasets, class imbalance can still hurt learner performance, (2) data sampling, however, may not improve performance for relatively clean but imbalanced datasets, (3) data sampling can be very effective at dealing with the combined problems of noise and imbalance, (4) both the level and distribution of class noise among the classes are important, as either factor alone does not cause a significant impact, (5) when sampling does improve the learners (i.e. for noisy and imbalanced datasets), RUS and SMOTE are the most effective at improving the AUC, while SMOTE performed well relative to the F-measure, (6) there are significant differences in the empirical results depending on the performance measure used, and hence it is important to consider multiple metrics in this type of analysis, and (7) data sampling rarely hurt the AUC, but only significantly improved performance when data was at least moderately skewed or noisy, while for the F-measure, data sampling often resulted in significantly worse performance when applied to slightly skewed or noisy datasets, but did improve performance when data was either severely noisy or skewed, or contained moderate levels of both noise and imbalance.

APA, Harvard, Vancouver, ISO, and other styles

14

Lilly, Jerry. "Impact noise and walking noise in multifamily housing." Journal of the Acoustical Society of America 122, no. 5 (2007): 2955. http://dx.doi.org/10.1121/1.2942528.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Prince, Mary M., and Jeffrey S. Vipperman. "Noise sampling issues for impact/impulse noise surveys." Journal of the Acoustical Society of America 113, no. 4 (April 2003): 2196. http://dx.doi.org/10.1121/1.4808784.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Riva, Maria Giorgia, Francesca Dai, Mirja Huhtinen, Michela Minero, Sara Barbieri, and Dalla Costa Dalla Costa. "The Impact of Noise Anxiety on Behavior and Welfare of Horses from UK and US Owner’s Perspective." Animals 12, no. 10 (May 21, 2022): 1319. http://dx.doi.org/10.3390/ani12101319.

Full text

Abstract:

Noise anxiety is an over-reaction to loud noises commonly detected among pets and can greatly impact on their welfare and on their management. When exposed to noisy events, horses can show intense escape attempts, which may cause severe accidents for the horse and the rider/handler. The aim of the present study was to investigate, through a web survey, UK and US owners’ perception of noise anxiety severity in their horses, their management strategies and perceived efficacy. The questionnaire was shared via social networking and advertised as “What is your horse afraid of?”. Over a total of 1836 questionnaires filled out; 409 owners reported that their horse has shown unusual behavior during a noise event. A two-step cluster analysis identified two groups: very anxious (VA) and slightly anxious (SA). VA horses were reported to have higher frequency of anxiety behaviors; higher frequency of signs of noise reactivity; and their anxiety did not improve with time. The most used management strategies consisted in providing hay throughout the night, turning in/out their horse or moving it to a paddock. A binomial logistic regression identified that horses that have reported injuries during noise events were more likely to be clustered as VA (OR = 0.24, 95% CI: 0.08–0.76); while providing hay throughout the night was more likely to be very effective management strategy in SA horses (OR = 0.41, 95% CI: 0.16–1.01). Our results confirmed that noise anxiety is a growing behavioral problem that can lead to important welfare concerns for horses. New management strategies, including the use of medicinal products, should be considered to reduce behavioral and physiological signs and help horses to cope with noisy events.

APA, Harvard, Vancouver, ISO, and other styles

17

Li, Chujin, and Jinqiao Duan. "Impact of Correlated Noises on Additive Dynamical Systems." Mathematical Problems in Engineering 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/678976.

Full text

Abstract:

Impact of correlated noises on dynamical systems is investigated by considering Fokker-Planck type equations under the fractional white noise measure, which correspond to stochastic differential equations driven by fractional Brownian motions with the Hurst parameterH>1/2. Firstly, by constructing the fractional white noise framework, one small noise limit theorem is proved, which provides an estimate for the deviation of random solution orbits from the corresponding deterministic orbits. Secondly, numerical experiments are conducted to examine the probability density evolutions of two special dynamical systems, as the Hurst parameterHvaries. Certain behaviors of the probability density functions are observed.

APA, Harvard, Vancouver, ISO, and other styles

18

Patella, S. M., F. Aletta, and L. Mannini. "Assessing the impact of Autonomous Vehicles on urban noise pollution." Noise Mapping 6, no. 1 (January 1, 2019): 72–82. http://dx.doi.org/10.1515/noise-2019-0006.

Full text

Abstract:

Abstract This paper presents the results of a noise emission study of Autonomous Vehicles (AVs) and their impact on the road network. By comparing the current situation with a future hypothetical scenario (100% AVs penetration), this study highlights the positive effect, in terms of noise pollution, of the adoption of AVs on a real road network (city of Rome). For this scope, a traffic simulation-based approach was used to investigate the effects of AVs on the network congestion. Results show that the full AVs penetration scenario leads to an improvement in the network performances in terms of travel time and average network speed. Moreover, the amount of Vehicle Kilometre Travelled (VKT) shows an 8% increase on longer extra-urban routes, due to the higher capacity impact of AVs on highways, with a consequent load reduction for intra-urban shortcutting routes. These results are also reflected in terms of noise emission. In fact, the central area would benefit from lower noise emission, whereas an increase in traffic volume and speed lead to worsened conditions for some specific highway links of the network. Overall, it was shown that a 100% AVs fleet would have a beneficial effect for the noise pollution, leading to a general reduction of noise emissions, which is more pronounced for intra-urban roads.

APA, Harvard, Vancouver, ISO, and other styles

19

Xu, Gang, Min Deng, Geng Sun, Ya Guo, and Jie Chen. "Improving Building Extraction by Using Knowledge Distillation to Reduce the Impact of Label Noise." Remote Sensing 14, no. 22 (November 8, 2022): 5645. http://dx.doi.org/10.3390/rs14225645.

Full text

Abstract:

Building extraction using deep learning techniques has advantages but relies on a large number of clean labeled samples to train the model. Complex appearance and tilt shots often cause many offsets between building labels and true locations, and these noises have a considerable impact on building extraction. This paper proposes a new knowledge distillation-based building extraction method to reduce the impact of noise on the model and maintain the generalization of the model. The method can maximize the generalizable knowledge of large-scale noisy samples and the accurate supervision of small-scale clean samples. The proposed method comprises two similar teacher and student networks, where the teacher network is trained by large-scale noisy samples and the student network is trained by small-scale clean samples and guided by the knowledge of the teacher network. Experimental results show that the student network can not only alleviate the influence of noise labels but also obtain the capability of building extraction without incorrect labels in the teacher network and improve the performance of building extraction.

APA, Harvard, Vancouver, ISO, and other styles

20

Schiavoni, Samuele, Francesco D’Alessandro, Giorgio Baldinelli, Cristiano Turrioni, Corrado Schenone, Davide Borelli, and Giuseppe Marsico. "Guidelines for a common port noise impact assessment: the ANCHOR LIFE project." Noise Mapping 9, no. 1 (January 1, 2022): 89–108. http://dx.doi.org/10.1515/noise-2022-0006.

Full text

Abstract:

Abstract The paper reports the main contents of the guidelines developed in the framework of the project ANCHOR, acronym of Advanced Noise Control strategies in HarbOuR, which is a European Project funded as part of the announcement Life 2017. The guidelines represent an updated version of those elaborated in the NoMEPorts project named ‘Good Practice Guide on Port Area Noise Mapping and Management’; the aim is to define a common approach in port noise monitoring and assessment, considering the outcomes of previous EU funded projects and the algorithms defined by the European Directive 2015/996, in order to produce Port Noise Impact Assessments to be included in ports Environmental Management Systems (EMS). The procedures described in the guidelines will guide professionals in organizing and managing geographical data, in characterizing noise sources and defining, for each of them, the correct noise emission power level, in evaluating noise propagation and people exposure to noise and, finally, in selecting the most efficient mitigation action by means of a cost benefit analysis. Moreover, the paper reports the results of a comparison between noise mapping outcomes obtained using the new noise mapping algorithms defined by the 2015/996 Directive and the old 2002/49/EC Annex II ones; especially at long distances from the source the differences between the two methodologies are not negligible.

APA, Harvard, Vancouver, ISO, and other styles

21

NAKAMORI, Shunsuke, and Junichi YOSHIMURA. "DEVELOPMENT OF FOOTSTEP IMPACT NOISE SIMULATOR FOR EVALUATION OF HUMAN TROTTING IMPACT NOISE." Journal of Environmental Engineering (Transactions of AIJ) 80, no. 717 (2015): 1021–28. http://dx.doi.org/10.3130/aije.80.1021.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Bandyopadhyay, Aritra, Kaustuv Deb, Avishek Chakraborty, Atanu Das, and Rajib Bag. "A Neighborhood Impact Driven K-Medoid Clustering and Fuzzy Logic Blended Approach for High Density Impulse Noise Detection and Removal." Traitement du Signal 39, no. 5 (November 30, 2022): 1737–49. http://dx.doi.org/10.18280/ts.390532.

Full text

Abstract:

In the field of image processing, removing impulse noise has been regarded as one of the most important tasks, primarily because of the noise pattern it presents. Existing filters used the effect of only those non-noisy pixels which were present inside the specified windows ignoring the effect of the non-noisy pixels present in the surrounding windows. So, the least distant non-noisy pixels in the present window as well as in the surrounding windows may have an influence on the present window's noisy pixels. Hence, considering the above factors, in this paper, a two-step technique named KMDCIFF (K-medoid clustering identified fuzzy filter) is proposed for removing impulse noise from digital images. In the proposed KMDCIFF algorithm, the first step is noise detection using K-medoid clustering, followed by a fuzzy logic-acquainted noise reduction strategy that utilizes the least distant local and non-local non-noisy pixels for removal operation. The detection process involves the application of K-medoid clustering on all 5×5 windows produced by centering each pixel of the considered image. In order to remove noise, a 7×7 window is constructed with each detected noisy pixel in the center. Analyzing the impact of the least distant local and non-local pixel on each noisy pixel, the same is replaced by an estimated pixel’s intensity value obtained from the most influential non-noisy pixels. KMDCIFF is evaluated using well-known metrics for diverse types of images. At a high noise density of 80%, KMDCIFF exhibited significant peak-signal-to-noise-ratios (PSNRs) of 26.97 dB and 29.67 dB and structural similarity indexes (SSIMs) of 0.8045 and 0.9288 on random and fixed valued impulse noise impacted Lena image, respectively. Comparing the results of the contemporary study to those of previous studies of a similar kind in this sector, the results are unswervingly astounding.

APA, Harvard, Vancouver, ISO, and other styles

23

Park, Choon-Su, Sun-Ho Lee, and Dong-Jin Yoon. "Enhancing Impact Localization from Fluid-Pipe Coupled Vibration under Noisy Environment." Applied Sciences 11, no. 9 (May 5, 2021): 4197. http://dx.doi.org/10.3390/app11094197.

Full text

Abstract:

Big impacts from pressure transients are known to be major contributors to pipeline failures, and even small impacts have the potential to result in pipeline deterioration. The effects of these impacts on a pipeline are not disclosed in detail and are hard to evaluate completely by theoretical modeling or numerical simulation. The impacts excite cylindrical structures containing liquid, which results in the development of wave propagation along pipelines. In particular, quasi-longitudinal waves are known to be developed by fluid-structure interaction during propagation. However, impact signal detection needs great care because extreme noise may corrupt the signal. An enhanced wavelet-based approach is proposed to detect and localize the impact source. The method makes use of continuous wavelet transform and band summation within a band of interest along scales to enhance time-difference detectability. In addition, a noise reduction algorithm intended to remove burst noises, in practice, frequently contaminates the impact signals of interest. Experimental results from a water supply network under operation demonstrate that the proposed approach is able to suppress noise and successfully reveal the impact location. The proposed approach provides a more precise and robust way to localize impacts missed by the conventional cross-correlation algorithm.

APA, Harvard, Vancouver, ISO, and other styles

24

Wendt, Dorothea, Renskje K. Hietkamp, and Thomas Lunner. "Impact of Noise and Noise Reduction on Processing Effort." Ear and Hearing 38, no. 6 (2017): 690–700. http://dx.doi.org/10.1097/aud.0000000000000454.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Cibiel, G., M. Regis, E. Tournier, and O. Llopis. "AM noise impact on low level phase noise measurements." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 49, no. 6 (June 2002): 784–88. http://dx.doi.org/10.1109/tuffc.2002.1009336.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Kalker, J. J., and F. Périard. "Wheel-rail noise: impact, random, corrugation and tonal noise." Wear 191, no. 1-2 (January 1996): 184–87. http://dx.doi.org/10.1016/0043-1648(95)06713-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Stusnick, Eric, Richard L. Thompson, Terence R. Thompson, Bryan A. Evans, and John DiFelici. "Aircraft Community Noise Impact Model." Transportation Research Record: Journal of the Transportation Research Board 1626, no. 1 (January 1998): 58–66. http://dx.doi.org/10.3141/1626-07.

Full text

Abstract:

The Aircraft Community Noise Impact Model (ACNIM) is a computer software system being developed by Wyle Laboratories and Metron, Inc., for the National Aeronautics and Space Administration–Langley Research Center. It is intended to provide a user-friendly tool for analysis of the impact of the noise from aircraft operations on communities near airports. The history of the development of ACNIM and some of its unique features are outlined and the optimization algorithms that are used by ACNIM to produce minimally impacting flight trajectories are discussed in some detail.

APA, Harvard, Vancouver, ISO, and other styles

28

Fröhner, Klaus-Dieter, and Ze Li. "Noise Impact in Powered Respirators." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 27 (July 2000): 395–98. http://dx.doi.org/10.1177/154193120004402730.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Matsukura, Hiroyuki, and Fumio Yamauchi. "Low‐noise type impact printer." Journal of the Acoustical Society of America 82, no. 1 (July 1987): 407. http://dx.doi.org/10.1121/1.395480.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Tikriti, Walid. "Pool equipment mechanical noise impact." Journal of the Acoustical Society of America 141, no. 5 (May 2017): 3686. http://dx.doi.org/10.1121/1.4988018.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Evans, Russ, and Mike Hapgood. "Impact factors - signal or noise?" Astronomy and Geophysics 46, no. 2 (April 2005): 2.15. http://dx.doi.org/10.1111/j.1468-4004.2005.46215.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Henderson, Donald, Vlasta Spongr, Malini Subramaniam, and Pierre Campo. "Anatomical effects of impact noise." Hearing Research 76, no. 1-2 (June 1994): 101–17. http://dx.doi.org/10.1016/0378-5955(94)90092-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Klæboe, R., E. Engelien, and M. Steinnes. "Context sensitive noise impact mapping." Applied Acoustics 67, no. 7 (July 2006): 620–42. http://dx.doi.org/10.1016/j.apacoust.2005.12.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Alam, Md Saniul, Lucy Corcoran, Eoin A. King, Aonghus McNabola, and Francesco Pilla. "Modelling of intra-urban variability of prevailing ambient noise at different temporal resolution." Noise Mapping 4, no. 1 (March 28, 2017): 20–44. http://dx.doi.org/10.1515/noise-2017-0002.

Full text

Abstract:

AbstractThe impact of temporal aspects of noise data on model development and intra-urban variability on environmental noise levels are often ignored in the development of models used to predict its spatiotemporal variation within a city. Using a Land Use Regression approach, this study develops a framework which uses routine noise monitors to model the prevailing ambient noise, and to develop a noise variability map showing the variation within a city caused by land-use setting. The impact of data resolution on model development and the impact of meteorological variables on the noise level which are often ignored were also assessed. Six models were developed based on monthly, daily and hourly resolutions of both the noise and predictor data. Cross validation highlighted that only the hourly resolution model having 59%explanatory power of the observed data (adjusted R2) and a potential of explaining at least 0.47% variation of any independent dataset (cross validation R2), was a suitable candidate among all the developed models for explaining intraurban variability of noise.In the hourly model, regions with roads of high traffic volumes, with higher concentrations of heavy goods vehicles, and being close to activity centreswere found to have more impact on the prevailing ambient noise. Road lengthswere found to be the most influential predictors and identified as having an impact on the ambient noise monitors.

APA, Harvard, Vancouver, ISO, and other styles

35

Diveev, Bogdan. "Vibration impact and noise protection devices with DVA for wheeled vehicles." Transport technologies 2020, no. 2 (November 9, 2020): 65–75. http://dx.doi.org/10.23939/tt2020.02.065.

Full text

Abstract:

The article investigates vibration and noise protection devices for wheeled vehicles using dynamic vibration absorbers (DVA). Algorithms for modeling their dynamic characteristics based on adaptive calculation schemes are presented. A non-linear suspension with DVA and a noise-absorbing partition is considered, which is due to the introduction of a layered composite thin-walled structure with an intermediate damping layer with high damping properties and a DVA system, which provides better vibration and noise absorption. The problems of shock propagation during the overturn of the bus to passengers are also considered. The influence of the parameters of the shock absorber on the dynamic properties of the bus is investigated. The optimal parameters of the shock absorber are determined.

APA, Harvard, Vancouver, ISO, and other styles

36

Schilling, Marcel P., Niket Ahuja, Luca Rettenberger, Tim Scherr, and Markus Reischl. "Impact of Annotation Noise on Histopathology Nucleus Segmentation." Current Directions in Biomedical Engineering 8, no. 2 (August 1, 2022): 197–200. http://dx.doi.org/10.1515/cdbme-2022-1051.

Full text

Abstract:

Abstract Deep learning is often used for automated diagnosis support in biomedical image processing scenarios. Annotated datasets are essential for the supervised training of deep neural networks. The problem of consistent and noise-free annotation remains for experts such as pathologists. The variability within an annotator (intra) and the variability between annotators (inter) are current challenges. In clinical practice or biology, instance segmentation is a common task, but a comprehensive and quantitative study regarding the impact of noisy annotations lacks. In this paper, we present a concept to categorize and simulate various types of annotation noise as well as an evaluation of the impact on deep learning pipelines. Thereby, we use the multi-organ histology image dataset MoNuSeg to discuss the influence of annotator variability. We provide annotation recommendations for clinicians to achieve high-quality automated diagnostic algorithms.

APA, Harvard, Vancouver, ISO, and other styles

37

Mazard, A., B. Mazoyer, O. Etard, N. Tzourio-Mazoyer, S. M. Kosslyn, and E. Mellet. "Impact of fMRI Acoustic Noise on the Functional Anatomy of Visual Mental Imagery." Journal of Cognitive Neuroscience 14, no. 2 (February 1, 2002): 172–86. http://dx.doi.org/10.1162/089892902317236821.

Full text

Abstract:

One drawback of functional magnetic resonance imaging (fMRI) is that the subject must endure intense noise during testing. We examined the possible role of such noise on the activation of early visual cortex during visual mental imagery. We postulated that noise may require subjects to work harder to pay attention to the task, which in turn could alter the activation pattern found in a silent environment. To test this hypothesis, we used positron emission tomography (PET) to monitor regional Cerebral Blood Flow (rCBF) of six subjects while they performed an imagery task either in a silent environment or in an “fMRI-like” noisy environment. Both noisy and silent imagery conditions, as compared to their respective baselines, resulted in activation of a bilateral frontoparietal network (related to spatial processing), a bilateral inferior temporal area (related to shape processing), and deactivation of anterior calcarine cortex. Among the visual areas, rCBF increased in the most posterior part of the calcarine cortex, but at level just below the statistical threshold. However, blood flow values in the calcarine cortex during the silent imagery condition (but not the noisy imagery condition) were strongly negatively correlated with accuracy; the more challenging subjects found the task, the more strongly the calcarine cortex was activated. The subjects made more errors in the noisy condition than in the silent condition, and a direct comparison of the two conditions revealed that noise resulted in an increase in rCBF in the anterior cingulate cortex (involved in performance monitoring) and in the Wernicke's area (required to encode the verbal cues used in the task). These results thus demonstrate a nonadditive effect of fMRI gradient noise, resulting in a slight but significant effect on both performance and the neural activation pattern.

APA, Harvard, Vancouver, ISO, and other styles

38

Borras, Kerstin, Su Yeon Chang, Lena Funcke, Michele Grossi, Tobias Hartung, Karl Jansen, Dirk Kruecker, et al. "Impact of quantum noise on the training of quantum Generative Adversarial Networks." Journal of Physics: Conference Series 2438, no. 1 (February 1, 2023): 012093. http://dx.doi.org/10.1088/1742-6596/2438/1/012093.

Full text

Abstract:

Abstract Current noisy intermediate-scale quantum devices suffer from various sources of intrinsic quantum noise. Overcoming the effects of noise is a major challenge, for which different error mitigation and error correction techniques have been proposed. In this paper, we conduct a first study of the performance of quantum Generative Adversarial Networks (qGANs) in the presence of different types of quantum noise, focusing on a simplified use case in high-energy physics. In particular, we explore the effects of readout and two-qubit gate errors on the qGAN training process. Simulating a noisy quantum device classically with IBM’s Qiskit framework, we examine the threshold of error rates up to which a reliable training is possible. In addition, we investigate the importance of various hyperparameters for the training process in the presence of different error rates, and we explore the impact of readout error mitigation on the results.

APA, Harvard, Vancouver, ISO, and other styles

39

Seong, Woojae. "Experimental Study on Underwater Transient Noise Generated by Water-Entry Impact." Journal Of The Acoustical Society Of Korea 33, no. 1 (2014): 10. http://dx.doi.org/10.7776/ask.2014.33.1.010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Tseng, Li Ho, Ming Tai Cheng, Shih Tsung Chen, Jyi Faa Hwang, Chia Ju Chen, and Chia Yi Chou. "An EEG Investigation of the Impact of Noise on Attention." Advanced Materials Research 779-780 (September 2013): 1731–36. http://dx.doi.org/10.4028/www.scientific.net/amr.779-780.1731.

Full text

Abstract:

During the past two decades, most researchers employed a questionnaire to characterize the effect of noise on psychosomatic responses. Developments in physiological techniques offer a non-invasive method for recording brain activity with electroencephalography (EEG). This method for assessing the impact of noise on attention is growing in popularity. The aim of this study was to investigate brain activity changes in response to noise exposure during attention-demanding tasks by using EEG power and phase coherence estimation. We hypothesized that brain rhythms could be affected by environmental stimuli and would be reflected in the EEG power and phase coherence. Nineteen healthy right-handed university students (mean age = 21.5 ± 2.0 years) participated in this study. The experiment comprised recording EEG data for participants in the following steps: rest with eyes closed (< 50 dBA), rest with eyes open, listening in a noisy environment (85 dBA), performance on an attention-demanding task in a quiet environment (< 50 dBA), and performance on an attention-demanding task in a noisy environment (85 dBA). Significant differences were observed between stages, and the participants performed more effectively in the quiet environment, where they showed higher rates of correct responses (p <.05). From the assessment of the EEG power and phase coherence estimation, the study demonstrated the following: (1) Alpha-2 (10-13 Hz) power and phase coherence decreased when participants shifted from closed eyes to open eyes, while theta power increased. (2) In contrast, during the noise exposure phase, whether during an attention-demanding task or not, beta (13-30 Hz) phase coherence decreased in the brain, but theta phase coherence was not affected compared to the results in the quiet environment. We suggest that the high frequency of neural synchronization is relevant for cognitive performance, and that participants at risk for selective attention are affected by noise exposure.

APA, Harvard, Vancouver, ISO, and other styles

41

Staaterman, E., AJ Gallagher, PE Holder, CH Reid, AH Altieri, MB Ogburn, JL Rummer, and SJ Cooke. "Exposure to boat noise in the field yields minimal stress response in wild reef fish." Aquatic Biology 29 (May 14, 2020): 93–103. http://dx.doi.org/10.3354/ab00728.

Full text

Abstract:

Aquatic anthropogenic noise is on the rise, with growing concern about its impact on species that are sensitive to low-frequency sounds (e.g. most fish and invertebrates). We investigated whether the reef fish Halichoeres bivittatus living in both noisy and quiet areas had differing levels of baseline stress (measured as whole-body cortisol) and whether they would exhibit a physiological stress response when exposed to boat noise playbacks. While the playback experiments significantly increased cortisol levels in fish from our experiment compared to baseline levels, there were minimal pairwise differences across treatments and no difference in baseline stress for fish living in noisy vs. quiet areas. These results may be explained by low overall auditory sensitivity, habituation to a fairly noisy environment (due to biological sounds), or that boat noise simply may not represent an immediate threat to survival in this species. These findings contrast recent studies that have shown elevated stress responses in fishes when exposed to boat noise and highlights that inter-specific differences must be considered when evaluating potential impacts of anthropogenic noise on marine life.

APA, Harvard, Vancouver, ISO, and other styles

42

Yamin, Muhammad, Zohaib Yousaf, Khalid Mahmood Bhatti, Muhammad Ibrahim, Farah Naz Akbar, Redmond R. Shamshiri, Abid Mahmood, and Rahat Ali Tauni. "Noise exposure and its impact on psychological health of agricultural tractor operators." Noise Control Engineering Journal 69, no. 6 (November 1, 2021): 500–506. http://dx.doi.org/10.3397/1/376947.

Full text

Abstract:

Constant exposure of noise to the auditory system of the agricultural tractor opera- tor can cause physical and psychological problems. A field study was conducted in the Faisalabad and Narowal districts of Pakistan to examine the spread of tractor noise and its psychological effects on the safety of tractor operators driving tractors without cabins and other noise reduction measures. Four of the most common imple- ments used in Pakistan, including land scraper, cultivator, disk harrow and seed drill, were used to detect the changes in tractor noise at two speeds of 5.3 km/h and 10.6 km/h in all four directions. Lowest noise was produced during the field operation of the seed drill at a mean noise value of 81.9 dB(A) among all four implements. Disk harrow and cultivator were found to be the most noisy implement, and during oper- ation, the tractor operator was directly exposed to high noise levels of 86.9 dB(A) and 84.9 dB(A), respectively. This noise pollution caused psychological problems in agri- cultural tractor operators, as demonstrated by the highly positive correlations of de- pression, aggression, anxiety and stress. This trend had a negative effect on their social interactions relative to the comparable population of office employees. In or- der to mitigate the adverse health effects, tractor operators must be equipped with sound proof cabins or at least ear plugs because of direct exposure to high noise levels. Furthermore, a safe distance of 48 m or at least a warning distance of 26 m from the tractor must be maintained by farm workers.

APA, Harvard, Vancouver, ISO, and other styles

43

Ivošević, Jurica, Emir Ganić, Antonio Petošić, and Tomislav Radišić. "Comparative UAV Noise-Impact Assessments through Survey and Noise Measurements." International Journal of Environmental Research and Public Health 18, no. 12 (June 8, 2021): 6202. http://dx.doi.org/10.3390/ijerph18126202.

Full text

Abstract:

Possibilities to use unmanned aerial vehicles (UAVs) are rapidly growing. With the development of battery technologies, communication, navigation, surveillance, and autonomous systems in general, many UAVs are expected to operate at relatively low altitudes. Thus, the problem of UAV noise impact on human health and well-being will be more pronounced. In this paper, we conducted noise measurements of two UAVs of different performance (quadrotor and hexarotor) in flying up and down, hovering, and overflight procedures. Respondents of good hearing who were confirmed by audiogram measurement and had participated in the survey during UAV noise measurement gave their subjective assessments on the UAV noise perception. UAV noise measurements and subjective respondents’ assessments were analysed and related. UAV noise analysis showed that the parameters measured at the same measurement point for the hexarotor were higher than those for the quadrotor in flying up and down and flying-over procedures. Low frequency noise was present in the noise spectrum of both drones. Participants were able to distinguish between the noise of UAVs and had a generally more negative experience with the hexarotor. Regardless of the noise perception, more than 80% of the respondents believe there are more pros than cons for UAV introduction into everyday life.

APA, Harvard, Vancouver, ISO, and other styles

44

Nakamura, Shota, Yosuke Koba, Satoshi Ishikawa, and Shinya Kijimoto. "718 Active Noise Control against Impact Noise using Lattice Filter." Proceedings of Conference of Kyushu Branch 2012.65 (2012): 259–60. http://dx.doi.org/10.1299/jsmekyushu.2012.65.259.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Oeding, Kristi, Evelyn Davies-Venn, and Peggy Nelson. "Individual factors that impact noise tolerance." Journal of the Acoustical Society of America 152, no. 4 (October 2022): A196. http://dx.doi.org/10.1121/10.0016010.

Full text

Abstract:

One of the most common complaints of patients wearing hearing aids is difficulty hearing speech in noise. Limited information is available on how to program speech in noise programs as fitting formulas are based on quiet environments. In order to understand what settings could optimize programs in background noise, it is important to determine what objective and subjective factors impact speech understanding in noise. This study sought to evaluate what individual factors (personality, working memory, noise tolerance, and speech in noise abilities) might impact person’s tolerance in background noise. Data was collected remotely using questionnaires and equipment that was dropped off at the participant's home due to covid restrictions at the time. A principal component analysis was used to determine clusters of patients based on the examined factors. The goal of finding group factors will be used to determine the best settings to increase a hearing aid user’s tolerance for background noise so they can wear their hearing aids in these environments and hear speech better. Benefits and disadvantages of at home testing will also be discussed.

APA, Harvard, Vancouver, ISO, and other styles

46

Panosso, Andriele d., and Stephan Paul. "Impact noise insulation performance of commonly used materials when excited by different impact noise sources." Journal of the Acoustical Society of America 140, no. 4 (October 2016): 3179. http://dx.doi.org/10.1121/1.4969990.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Josephine, S., and S. Murugan. "Noise Removal from Brain MRI Images Using Adaptive Bayesian Shrinkage." Journal of Computational and Theoretical Nanoscience 17, no. 4 (April 1, 2020): 1818–25. http://dx.doi.org/10.1166/jctn.2020.8446.

Full text

Abstract:

In MR machine, surface coils, especially phased-arrays are used extensively for acquiring MR images with high spatial resolution. The signal intensities on images acquired using these coils have a non-uniform map due to coil sensitivity profile. Although these smooth intensity variations have little impact on visual diagnosis, they become critical issues when quantitative information is needed from the images. Sometimes, medical images are captured by low signal to noise ratio (SNR). The low SNR makes it difficult to detect anatomical structures because tissue characterization fails on those images. Hence, denoising are essential processes before further processing or analysis will be conducted. They found that the noise in MR image is of Rician distribution. Hence, general filters cannot be used to remove these types of noises. The linear spatial filtering technique blurs the object boundaries and degrades the sharp details. The existing works proved that Wavelet based works eliminates the noise coefficient that called wavelet thresholding. Wavelet thresholding estimates the noise level from high frequency content and estimates the threshold value by comparing the estimated noisy wavelet coefficient with other wavelet coefficients and eliminate the noisy pixel intensity value. Bayesian Shrinkage rule is one of the widely used methods. It uses for Gaussian type of noise, the proposed method introduced some adaptive technique in Bayesian Shrinkage method to remove Rician type of noises from MRI images. The results were verified using quantitative parameters such as Peak Signal to Noise Ratio (PSNR). The proposed Adaptive Bayesian Shrinkage Method (ABSM) outperformed existing methods.

APA, Harvard, Vancouver, ISO, and other styles

48

Cai, Yangsheng. "The impact of China's traffic noise spectrum on the Single-number-quantities (SNQs) evaluation of airborne sound insulation in the new era." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 2 (February 1, 2023): 5562–67. http://dx.doi.org/10.3397/in_2022_0820.

Full text

Abstract:

The ISO 717-1 specified the weighted sound reduction index calculation method of airborne sound insulation, also includes two spectrum adaptation terms C and Ctr, to take into account different spectra of environmental and living noises. The reference spectrum for Ctr is A-weighted urban traffic noise, and it is meant for noise sources such as traffic noise (urban road traffic, railway traffic at low speeds, propeller driven aircraft), disco music, and factory emission noise (low and medium frequency noise emissions).It should be noted that the spectra Ctr applied in ISO 717-1 was adopted from the Nordtest Method NT ACOU 061 (Nordtest, 1987).The means of transportation are undergoing great changes, and the characteristics of traffic noises are also changing significantly. Therefore, in order to better resolve the disputes caused by sound insulation and traffic noise in China, it is necessary to explore whether the existing evaluation standards are still applicable to various types of traffic noise. In this paper, the urban traffic noises in China have been measured and analyzed, a new spectrum adaptation terms for airborne sound insulation evaluation was established, and applied to the calculation of sound insulation of several common building components, and its applicability was discussed.

APA, Harvard, Vancouver, ISO, and other styles

49

Alam, S., ST Akter, MS Sheikh, and I. Bahar. "The Impact of Noise Pollution on Workers Health in Selected Industries of Mirzapur Industrial Area, Tangail, Bangladesh." Journal of Environmental Science and Natural Resources 9, no. 2 (April 14, 2017): 155–60. http://dx.doi.org/10.3329/jesnr.v9i2.32187.

Full text

Abstract:

The unwanted and intolerable sound causes noise. The study was conducted through interviewing of workers and measuring of noise levels on six types of industries. The data were collected on April, May and June, 2013. The data of noise levels were measured at main gate, administration office and working place of the selected industries. The noise level at the working places during day time of the selected industries were 81.50 dB (textile mill), 104.20 dB (cotton mill), 90.50 dB (jute mill), 95.90 dB (spinning mill), 89.25 dB (knit and garments factory) and 83.50 dB (knitting factory), respectively. All the recorded noise level data in working places of the industries exceeded the DoE standard (75 dB at day time and 70 dB at night time) that caused noise pollution. The important contributors of noise pollution were machineries and overcrowding of the workers in the industry. Most of the common impacts of noise pollution were headache, heart diseases and hearing problem. To resolve the noise problem in industry it was suggested to eliminate the noise sources substituting noisy machineries and so on.J. Environ. Sci. & Natural Resources, 9(2): 155-160 2016

APA, Harvard, Vancouver, ISO, and other styles

50

Guo, Y. P., and J. E. Ffowcs Williams. "A theoretical study on drop impact sound and rain noise." Journal of Fluid Mechanics 227 (June 1991): 345–55. http://dx.doi.org/10.1017/s0022112091000149.

Full text

Abstract:

This paper examines the sound waves generated when a spherical water drop impacts upon an initially quiescent water surface. The pressure fluctuations and the acoustic energy radiated by the initial impact are calculated analytically. It is shown that the rapid momentum exchange between the fluid in the falling drop and that in the main water body causes the radiation of compressive waves. These waves are radiated in the form of a wave packet with a densely packed edge which is heard in the far field as a noisy shock-like pulse followed by a quickly decreasing tail. The wave packet carries with it sound energy proportional to the kinetic energy of the falling drop and to the cube of the impact Mach number. Applications of these analytic results to the study of noise from natural rain are discussed, and an illustrative example is given where the noise level due to rain showers is linearly related to the rainfall rate, which is shown to be consistent with observations.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!