Academic literature on the topic 'Enviromental noise'
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Journal articles on the topic "Enviromental noise"
Ortega, Jose C. "Paul S. Veneklasen, contributions to enviromental noise control." Journal of the Acoustical Society of America 102, no. 5 (November 1997): 3174. http://dx.doi.org/10.1121/1.420810.
Full textZhigulski, Vladimir, Daria Zhigulskaya, Vladimir Shuisky, Ekaterina Chebynina, and Vitaly Panichev. "ENVIROMENTAL ASPECTS OF NOISE ASSESSMENT AND REGULATION IN THE DESIGN OF PORT COMPLEXES IN RUSSIA." Akustika 34 (November 1, 2019): 72–78. http://dx.doi.org/10.36336/akustika20193472.
Full textTuân, Lê Đình, Anh Trần Tiến, and Hải Nguyễn. "On the airport environmental noise monitoring and control system." Science & Technology Development Journal - Engineering and Technology 3, SI2 (January 23, 2021): first. http://dx.doi.org/10.32508/stdjet.v3isi2.622.
Full textSohor, A. R., and P. M. Zazuliak. "Mapping of enviromental pollution of air in Lviv." Kosmìčna nauka ì tehnologìâ 28, no. 3 (July 18, 2022): 86–91. http://dx.doi.org/10.15407/knit2022.03.086.
Full textSirait, Pahala, Irpan Adiputra Pardosi, Apriyanto Halim, and Tommy -. "Implementasi Kombinasi Metode AFF dan FBET Untuk Peningkatan Kualitas Citra." Jurnal SIFO Mikroskil 20, no. 1 (April 4, 2019): 1–10. http://dx.doi.org/10.55601/jsm.v20i1.550.
Full textAllen, John S. "Ambient acoustic enviroment—Diurnal soundscapes." Journal of the Acoustical Society of America 152, no. 4 (October 2022): A270. http://dx.doi.org/10.1121/10.0016242.
Full textWu, Xiao Mei, Ren Cheng Zhang, and Jian Hong Yang. "The On-Line Detection for AC Contactor’s Vibration Noise." Advanced Materials Research 479-481 (February 2012): 1174–79. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.1174.
Full textSetyawan, Febri Endra Budi, Amalia Wahyu Natasari, Nesrin Zaharah, Divi Aditya Romadhona Putra, Wafiyah Hasanah, and Ronty Birnanda Ramadhona. "Preventive Management for Occupational Diseases in Battery Industry." KELUWIH: Jurnal Kesehatan dan Kedokteran 3, no. 1 (December 31, 2021): 1–8. http://dx.doi.org/10.24123/kesdok.v3i1.4678.
Full textCheng, Lizhou, Jian Mao, and Hongyuan Wei. "Improving Wavelet Threshold De-noising Applied on Parts Detection." MATEC Web of Conferences 232 (2018): 04084. http://dx.doi.org/10.1051/matecconf/201823204084.
Full textGOLELOV, IGOR. "The Silicon Pixel Sensors in ATLAS." International Journal of Modern Physics A 16, supp01c (September 2001): 1100–1102. http://dx.doi.org/10.1142/s0217751x01009016.
Full textDissertations / Theses on the topic "Enviromental noise"
Russo, Domenico. "Innovative procedure for measurement uncertainty evaluation of environmental noise accounting for sound pressure variability." Doctoral thesis, Universita degli studi di Salerno, 2017. http://hdl.handle.net/10556/2574.
Full textThis study aims to demonstrate the importance of uncertainty evaluation in the measurement of environmental noise in the context of Italian legislation on noise pollution. Attention is focused on the variability of the measurand as a source of uncertainty and a procedure for the evaluation of uncertainty for environmental noise measurement is proposed. First drawing on several real noise datasets in order to determine suitable measurement time intervals for the estimation of the environmental noise, a data-driven sampling strategy is proposed, which takes into account the observed variability associated with measured sound pressure levels. Outliers are eliminated from the actual noise measurements using an outlier detection algorithm based on K-neighbors distance. As the third step, the contribution of measurand variability on measurement uncertainty is determined by using the normal bootstrap method. Experimental results exploring the adoption of the proposed method drawing upon real data from environmental noise using acquisition campaigns confirm the reliability of the proposal. It is shown to be very promising with regard to the prediction of expected values and uncertainty of traffic noise when a reduced dataset is considered. [edited by author]
Negli ultimi anni, studiosi ed esperti del settore hanno focalizzato la loro attenzione sulle possibili fonti di incertezza associabili a tale attività, cercando di pervenire a modelli che contemplassero tutte le variabili che concorrono alla determinazione dell’incertezza nella misura dei livelli di pressione acustica: l'incertezza dovuta alle caratteristiche della strumentazione di misura (fonometri o analizzatori multicanale), l'errore derivante dal posizionamento della strumentazione e quindi dei trasduttori microfonici, l'incertezza dovuta al calibratore, nonché l’incertezza da associare. Al fine, però, di fornire un’adeguata stima dell’indeterminazione associata alla misura del livello equivalente di rumore ambientale, risulta indispensabile considerare l’incertezza derivante dall’intrinseca variabilità del fenomeno in esame. Il tema risulta essere di particolare interesse scientifico e, negli ultimi anni, molti autori hanno proposto diverse metodologie di approccio al suddetto problema, in particolare alcuni hanno focalizzato l’attenzione sull’eliminazione dei segnali sonori non desiderati, altri sulla stima del tempo di misura e altri ancora direttamente sulla determinazione dell’incertezza. Alla luce di quanto esposto, ho pensato di integrare le diverse tecniche studiate in un’unica procedura, basata sul metodo bootstrap, tecnica statistica di ricampionamento con sostituzione del dataset iniziale, in quanto non ha limitazioni in termini di forma e di proprietà delle distribuzioni statistiche considerate ed è, pertanto, più adatta all’analisi del rumore ambientale, la cui popolazione non è strettamente gaussiana. Inizialmente, dal momento che l’affidabilità della stima degli indicatori di rumore ambientale dipende in modo significativo dalla variabilità temporale del rumore, e, quindi, risulta fondamentale scegliere in modo accurato il tempo di misura che tenga in considerazione la variabilità statistica del fenomeno acustico sotto osservazione, l’algoritmo individua in modo automatico un tempo minimo di acquisizione, corrispondente al numero minimo di livelli pressione sonora necessari a garantire la significatività statistica del set di dati di partenza. In una seconda fase sono individuati ed eliminati dal segnale acquisito eventuali valori anomali (outlier) ed, infine, è calcolata l’incertezza relativa al misurando applicando il metodo bootstrap. I risultati di tale metodo sono stati anche confrontati con la stima del valore atteso per il descrittore acustico a breve termine e della corrispondente incertezza applicando il metodo classico (GUM ISO). Poiché le grandezze calcolate con l’applicazione del metodo bootstrap si avvicinano molto a quelle determinate con il metodo classico nell’ipotesi di ridotto numero di campioni, tale procedura risulta altresì particolarmente adatta alla previsione dell'indicatore di rumore ambientale quando sono disponibili pochi dati di misura. [a cura dell'autore]
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Lin, Yi-Sheng, and 林意勝. "Enviromental Noise and Vibration Analysis of Moving Track Vehicle with Related Parameter Study." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/61836950775812313206.
Full text國立臺灣海洋大學
系統工程暨造船學系
92
The aim of the thesis is mainly to establish the analysis model for environmental noise and vibration induced by a moving track vehicle. Also the related parameters, such as the characteristics of the track supporting structure and the track itself, on the rail/wheel radiation noise level have been discussed by this model. Basically the rail/wheel noise is analyzed by use of software TWINS(Track-Wheel Interaction Noise Software), which was developed by the ERRI(European Rail Research Institute) and some other related groups for the development of low noise track systems. The analysis results encompass the sound power generated at the rail/wheel interface, the environmental sound level at any receiving point alongside the track, component sound level such as noise radiated from rail, wheel, sleeper, slab and supporting structure respectively. And discussion of the relevant parameter to speed , track structure , fastener. analyse noise of viaducts , embankment , ballasted track. Groundborne vibration generated by track vehicle is predicted by the method developed by the Federal Transit Administration(FTA) of USA. In which groundborne vibration can be analyzed by the transfer function such as mobility or Accelerance spectrum of the geology at the track route and the excitation force spectrum induced by a moving track vehicle. Such groundborne vibration can be assessed by the Gordon’s vibration criterion for the requirement of sensitive equipment manufactures. From the simulation results of the noise of Taiwan High Speed Rail, it shows that the noise level is the smallest when the train is moving on the ballast section, the next is on LVT track and then followed by embankment section and viaduct section. From the simulation results of the gorundborne at a high-tech manufacture 93m away from the track of the Taipei Rapid Transport system, it shows that the vibration level, in the frequency range of 31.5Hz~40Hz for the underground section, has exceeded the Gordon VC-D criterion curve. Keyword: High-speed railway, track system, noise, vibration, rail-wheel interaction
Books on the topic "Enviromental noise"
Noise in Military Enviroment. Ramboro Books PLC, 1997.
Find full textBasic Noise in the Engineering Enviroment. Butterworth-Heinemann Ltd, 1991.
Find full textConference papers on the topic "Enviromental noise"
"INVARIANT SIGNAL RECOGNITION IN NOISE ENVIROMENT." In 2nd International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0001157900790083.
Full textAzmi, Mohamed M., and Hesham Tolba. "Syllable-based automatic arabic speech recognition in noisy enviroment." In 2008 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2008. http://dx.doi.org/10.1109/icalip.2008.4590209.
Full textSingh, Harjit Pal, Sarabjeet Singh, R. K. Sarin, and Jasvir Singh. "Analysis of Interpolated FIR Filter for VoIP in Noisy Enviroment." In 2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN 2010). IEEE, 2010. http://dx.doi.org/10.1109/cicsyn.2010.69.
Full textDreas, Gilberto. "The efficient use of precast concrete technology in the construction of elevated guideways." In IABSE Congress, New York, New York 2019: The Evolving Metropolis. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.0136.
Full textSookpuwong, Chadaporn, and Chow Chompoo-Inwai. "Performance comparisons between a singlechannel feedforward ANC system and a singlechannel feedback ANC system in a noisy-enviroment classroom." In 2017 International Symposium on Electrical Insulating Materials (ISEIM). IEEE, 2017. http://dx.doi.org/10.23919/iseim.2017.8088722.
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