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    Wyświetlanie 1-11 z 11
    Tytuł:
    Statistical model for traffic noise prediction in signalised roundabouts
    Autorzy:
    Motylewicz, M.
    Gardziejczyk, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/200550.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    traffic noise
    noise prediction
    intersection
    signalised roundabout
    Opis:
    The existing traffic noise prediction models in road intersections relate mainly to the typical solutions of intersection geometry and traffic organisation. There are no models for large and more complex intersections such as signalised roundabouts. This paper presents the results of studies on the development of a traffic noise prediction model for this type of intersection. The model was developed using a multiple regression method based on the results of field measurements of traffic parameters and noise levels in the vicinity of signalised roundabouts in Poland. The obtained model consists of two groups of variables affecting noise levels at the intersection. The first group determines in detail the inf luence of traffic and geometry of the closest entry. The second group shows the inf luence of more distant noise sources (traffic at the three remaining entries of the intersection) and the inf luence of the dimensions of the entire intersection. The developed model was verified through additional field measurements, as well as compared to the results of two methods of traffic noise prediction: the French ‘NMPB-Routes-2008’ and the German ‘RLS-90’. The obtained results confirmed a higher accuracy of calculations performed using the developed model in the range of: −1.2 dB ÷ +1.0 dB, while the ‘NMPB-Routes-2008’ and ‘RLS-90’ calculate precision were respectively: −2.8 dB ÷ +1.3 dB, and + 0.8 dB ÷ +5.2 dB. Therefore, the developed model allows for a more accurate prediction of noise levels in the vicinity of signalised roundabouts in a f lat terrain without buildings and noise barriers.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 4; 937-948
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Appraisal of Noise Level Dissemination Surrounding Mining and Industrial Areas of Keonjhar, Odisha: a Comprehensive Approach Using Noise Mapping
    Autorzy:
    Lokhande, S. K.
    Dhawale, S. A.
    Pathak, S. S.
    Gautam, R.
    Jain, M. C.
    Bodhe, G. L.
    Powiązania:
    https://bibliotekanauki.pl/articles/176752.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    noise mapping
    noise prediction
    predictor LimA
    mining
    GIS
    Opis:
    Noise mapping is a well-established practice among the European nations, and it has been follow for almost two decades. Recently, as per guidelines of the Directorate General of Mines Safety (DGMS), India, noise mapping has been made mandatory in the mining expanses. This study is an effort to map the noise levels in nearby areas of mines in the northern Keonjhar district. The motive of this study is to quantify the existing A-weighted time-average sound level (LAeq, T) in the study area to probe its effects on the human dwellings and noise sensitive areas with the probability of future development of the mines, roads, and industrial and commercial zone. The LAeq, T was measured at 39 identified locations, including industrial, commercial, residential, and sensitive zones, 15 open cast mines, 3 major highways, and 3 haulage roads. With the utilisation of Predictor LimA Software and other GIS tools, the worked out data is mapped and noise contours are developed for the visualisation and identification of the extent and distribution of sound levels across the study area. This investigation discloses that the present noise level at 60% of the locations in silence and residential zone exposed to significantly high noise levels surpasses the prescribed limit of Central Pollution Control Board (CPCB), India. The observed day and night time LAeq, T level of both zones ranged between 43.2–62.2 dB(A) and 30.5–53.4 dB(A), respectively, whereas, the average Ldn values vary between 32.7 and 51.2 dB(A). The extensive mobility of heavy vehicles adjoining the sensitive areas and a nearby plethora of open cast mines is the leading cause of exceeded noise levels. The study divulges that the delicate establishments like schools and hospitals are susceptible to high noise levels throughout the day and night. A correlation between observed and software predicted values gives R2 of 0.605 for Ld, 0.217 for Ln, and 0.524 for Ldn. Finally, the mitigation measure is proposed and demonstrated using a contour map showing a significant reduction in the noise levels by 0–5.3 dB(A).
    Źródło:
    Archives of Acoustics; 2017, 42, 3; 423-432
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparative Application of Radial Basis Function and Multilayer Perceptron Neural Networks to Predict Traffic Noise Pollution in Tehran Roads
    Autorzy:
    Mansourkhaki, A.
    Berangi, M.
    Haghiri, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/124655.pdf
    Data publikacji:
    2018
    Wydawca:
    Polskie Towarzystwo Inżynierii Ekologicznej
    Tematy:
    MLP
    RBF
    neural network
    noise prediction
    road traffic noise
    Opis:
    Noise pollution is a level of environmental noise which is considered as a disturbing and annoying phenomenon for human and wildlife. It is one of the environmental problems which has not been considered as harmful as the air and water pollution. Compared with other pollutants, the attempts to control noise pollution have largely been unsuccessful due to the inadequate knowledge of its effects on humans, as well as the lack of clear standards in previous years. However, with an increase of traveling vehicles, the adverse impact of increasing noise pollution on human health is progressively emerging. Hence, investigators all around the world are seeking to find new approaches for predicting, estimating and controlling this problem and various models have been proposed. Recently, developing learning algorithms such as neural network has led to novel solutions for this challenge. These algorithms provide intelligent performance based on the situations and input data, enabling to obtain the best result for predicting noise level. In this study, two types of neural networks – multilayer perceptron and radial basis function – were developed for predicting equivalent continuous sound level (LAeq) by measuring the traffic volume, average speed and percentage of heavy vehicles in some roads in west and northwest of Tehran. Then, their prediction results were compared based on the coefficient of determination (R2) and the Mean Squared Error (MSE). Although both networks are of high accuracy in prediction of noise level, multilayer perceptron neural network based on selected criteria had a better performance.
    Źródło:
    Journal of Ecological Engineering; 2018, 19, 1; 113-121
    2299-8993
    Pojawia się w:
    Journal of Ecological Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Microscopic Prediction Model for Traffic Noise in Adjacent Regions to Arterial Roads
    Autorzy:
    Li, Ming
    Liu, Jizhou
    Powiązania:
    https://bibliotekanauki.pl/articles/31339809.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    traffic noise
    arterial roads
    noise prediction method
    microscopic level
    Opis:
    Traffic noise in big cities impacts the people who live and work in high-rise buildings alongside arterial roads. To determine this impact magnitude, this paper proposes and validates a microscopic level method that locally predicts the total noise level and the spectral characteristics of traffic flow in the near-road region. In the proposed method, the vehicles on the road are considered as multiple queues of moving point sound sources with ground reflection considered. To account for the flow of vehicles on the road, traffic field data, and individual vehicle noise source models are also employed. A field measurement is conducted to validate the proposed method. Results comparison shows that the predicted and the measured overall A-weighted sound pressure level and A-weighted noise spectra are within 3 dBA and 5 dBA, respectively. Based on the validated method, the spatial distribution of traffic noise near the arterial road is investigated for different traffic scenarios.
    Źródło:
    Archives of Acoustics; 2023, 48, 3; 433-449
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Work Efficiency Prediction of Persons Working in Traffic Noise Environment Using Adaptive Neuro Fuzzy Inference System (ANFIS) Models
    Autorzy:
    Yadav, Manoj
    Tandel, Bhaven
    Powiązania:
    https://bibliotekanauki.pl/articles/2141713.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    traffic noise
    noise exposure
    social questionnaire survey
    human work efficiency
    ANFIS prediction model
    Opis:
    A study was carried to assess the effect of traffic noise pollution on the work efficiency of shopkeepers in Indian urban areas. For this, an extensive literature survey was done on previous research done on similar topics. It was found that personal characteristics, noise levels in an area, working conditions of shopkeepers, type of task they are performing are the most significant factors to study effects on work efficiency. Noise monitoring, as well as a questionnaire survey, was done in Surat city to collect desired data. A total of 17 parameters were considered for assessing work efficiency under the influence of traffic noise. It is recommended that not more than 6 parameters should be considered for ANFIS modeling hence, before opting for the ANFIS modeling, most affecting parameters to work efficiency under the influence of traffic noise, was chosen by Structural Equation Model (SEM). As a result of the SEM model, two ANFIS prediction models were developed to predict the effect on work efficiency under the influence of traffic noise. R squared for model 1, for training data was 0.829 and for testing data, it was 0.727 and R squared for model 2 for training data was 0.828 and for testing data, it was 0.728. These two models can be used satisfactorily for predicting work efficiency under traffic noise environment for open shutter shopkeepers in tier II Indian cities.
    Źródło:
    Archives of Acoustics; 2021, 46, 4; 677-683
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Study on Noise Attenuation Characteristics of Hydrofoil with Specific Cavitation Number
    Autorzy:
    Xiaohui, He
    Zhongle, Liu
    Chao, Yang
    Zhiyong, Yuan
    Powiązania:
    https://bibliotekanauki.pl/articles/31339799.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    sound pressure spectrum
    noise
    sound power spectrum
    numerical prediction
    Opis:
    In this study, the modified Sauer cavitation model and Kirchhoff-Ffowcs Williams and Hawkings (K-FWH) acoustic model were adopted to numerically simulate the unsteady cavitation flow field and the noise of a three-dimensional NACA66 hydrofoil at a constant cavitation number. The aim of the study is to conduct and analyze the noise performance of a hydrofoil and also determine the characteristics of the sound pressure spectrum, sound power spectrum, and noise changes at different monitoring points. The noise change, sound pressure spectrum, and power spectrum characteristics were estimated at different monitoring points, such as the suction side, pressure side, and tail of the hydrofoil. The noise characteristics and change law of the NACA66 hydrofoil under a constant cavitation number are presented. The results show that hydrofoil cavitation takes on a certain degree of pulsation and periodicity. Under the condition of a constant cavitation number, as the attack angle increases, the cavitation area of the hydrofoil becomes longer and thicker, and the initial position of cavitation moves forward. When the inflow velocity increases, the cavitation noise and the cavitation area change more drastically and have a superposition tendency toward the downstream. The novelty is that the study presents important calculations and analyses regarding the noise performance of a hydrofoil, characteristics of the sound pressure spectrum, and sound power spectrum and noise changes at different monitoring points. The article may be useful for specialists in the field of engineering and physics.
    Źródło:
    Archives of Acoustics; 2023, 48, 3; 359-372
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Methodics of assessing environmental noise emission while performing hydraulic fracturing operations in shale formations
    Autorzy:
    Łukańko, Ł.
    Macuda, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/298719.pdf
    Data publikacji:
    2016
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    hydraulic fracturing
    sound level prediction
    simulation
    reference point
    prospecting
    well pad
    shale gas
    noise
    noise measurement
    Opis:
    Hydraulic fracturing operations performed at the stage of gas prospection in shale formations are aimed at opening out gas residing in rock micropores. Large quantities of fracturing fluid, with physicochemical composition adjusted to their properties, are injected to the selected interval of a horizontal well. Finally, sand (proppant) is injected along with the fracturing fluid to support the newly formed fracture. The results of a computer simulation of noise emission generated by high pressure pumps during hydraulic fracturing operations, and the results of noise measurements during such work in the north of Poland are presented in the paper. The analysis of the obtained results revealed that the noise standards for day hours in the residential area localized ca. 320 m from the well pad was not exceeded for the hydraulic fracturing operations. The noise level in the night hours was considerably higher, therefore a respective sound berm should be construed.
    Źródło:
    AGH Drilling, Oil, Gas; 2016, 33, 4; 769-780
    2299-4157
    2300-7052
    Pojawia się w:
    AGH Drilling, Oil, Gas
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Assessment of Heterogeneous Road Traffic Noise in Nagpur
    Autorzy:
    Lokhande, S. K.
    Pathak, S. S.
    Kokate, P. A.
    Dhawale, S. A.
    Bodhe, G. L.
    Powiązania:
    https://bibliotekanauki.pl/articles/176717.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    traffic noise
    FHWA
    Federal Highway Administration
    TNM
    Traffic Noise Model
    Prediction Model
    LAeq,T
    a-weighted time-average sound level
    noise pollution
    Opis:
    The objective of the study is to assess the noise scenario and evaluate prediction model for heterogeneous traffic conditions. In the past few years, road traffic of Nagpur has increased significantly due to the rapid increase in the number of vehicles. Noise levels are monitored at six different squares, characterized as interrupted traffic flow due to traffic signals, high population density and heavy traffic where the major sources of noise are engines, exhausts, tires interacting with the road, horns, sound of gear boxes, breaks, etc. The A-weighted time-average sound levels (LAeq, T) are measured at the different time of day during peak and off-peak traffic hours. To assess the traffic noise more precisely, the noise descriptors such as L10, L50, L90, LAeq, T, TNI (Traffic Noise Index), NPL (Noise Pollution Level) and NC (Noise Climate) are used. In the present study, the Federal Highway Administration (FHWA) noise prediction model is used for prediction of noise levels and it is observed that one-hour duration measured LAeq, T ranged from 71 to 76 dB(A) and 71.6 to 76.3 dB(A) during peak and off peak hours respectively. Due to the heavy traffic the peak hour Sound Exposure Levels (LAE) at all locations are exceeding permissible limit of 70 dB(A) prescribed by the World Health Organization (W.H.O). Off-peak traffic hour noise levels are within permissible limit except at two locations, Jagnade and HB town square. Significant correlation was obtained when best fit lines generated between measured and predicted values gives R2 of 0.455 for all time intervals. Chi-Square test (X2) was also computed to investigate the noise levels at different squares. The results show that the inhabitants of Nagpur city are exposed to high transportation noise during daytime.
    Źródło:
    Archives of Acoustics; 2018, 43, 1; 113-121
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    IDENTYFIKACJA KOMPONENTÓW DESTRUKCYJNYCH W MODELACH PREDYKCYJNYCH W PODEJŚCIU WIELOMODELOWYM
    IDENTYFIKACJA KOMPONENTÓW DESTRUKCYJNYCH W MODELACH PREDYKCYJNYCH W PODEJŚCIU WIELOMODELOWYM IDENTIFICATION OF DESTRUCTIVE COMPONENTS IN PREDICTIVE MODELS WITH A MULTI-MODEL APPROACH
    Autorzy:
    Szupiluk, Ryszard
    Rubach, Paweł
    Powiązania:
    https://bibliotekanauki.pl/articles/453339.pdf
    Data publikacji:
    2017
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
    Tematy:
    predykcja
    agregacja modeli
    ślepa separacja
    identyfikacja szumów
    prediction
    blind separation
    ensemble methods
    Theta noise measure
    Opis:
    W niniejszym artykule przedstawimy metodę identyfikacji komponentów destrukcyjnych występujących w podejściu wielomodelowym wykorzystującym algorytmy ślepej separacji sygnałów. Ocena charakterystyki poszczególnych komponentów dokonana zostanie na podstawie autorskich mierników zmienności/gładkości sygnałów. W celu potwierdzenia skuteczności prezentowanej metody przedstawimy praktyczny eksperyment poprawy wyników prognozy zużycia energii elektrycznej.
    In this paper we present a method of identification of destructive components in predictive models. This method may be applied in case of a multi-model approach and uses algorithms of blind signal separation. The evaluation of the characteristics of individual components will be based on the proposed metrics for evaluating the variation or smoothness of signals. In order to confirm the effectiveness of the presented method, we will present a practical experiment in which the results of the forecast of short-term electricity consumption are improved. Keywords: prediction, blind separation, ensemble methods, Theta noise measure
    Źródło:
    Metody Ilościowe w Badaniach Ekonomicznych; 2017, 18, 4; 679-688
    2082-792X
    Pojawia się w:
    Metody Ilościowe w Badaniach Ekonomicznych
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The Impact of Noise and Mismatch on SAR ADCs and a Calibratable Capacitance Array Based Approach for High Resolutions
    Autorzy:
    Mueller, J. H.
    Strache, S.
    Busch, L.
    Wunderlich, R.
    Heinen, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/226396.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    analog-digital conversion
    analog-digital integrated circuits
    calibration
    CMOS integrated circuits
    mathematical model
    MATLAB
    mixed analog digital integrated circuits
    noise
    numerical simulation
    prediction methods
    Opis:
    This paper describes widely used capacitor structures for charge-redistribution (CR) successive approximation register (SAR) based analog-to-digital converters (ADCs) and analyzes their linearity limitations due to kT/C noise, mismatch and parasitics. Results of mathematical considerations and statistical simulations are presented which show that most widespread dimensioning rules are overcritical. For high-resolution CR SAR ADCs in current CMOS technologies, matching of the capacitors, influenced by local mismatch and parasitics, is a limiting factor. For high-resolution medium-speed CR SAR ADCs, a novel capacitance array based approach using in-field calibration is proposed. This architecture promises a high resolution with small unit capacitances and without expensive factory calibration as laser trimming.
    Źródło:
    International Journal of Electronics and Telecommunications; 2013, 59, 2; 161-167
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wpływ metody redukcji szumu losowego na dokładność prognoz ekonomicznych szeregów czasowych
    The Effect of Random Noise Reduction Method on the Accuracy of Forecasting Economic Time Series
    Autorzy:
    Miśkiewicz-Nawrocka, Monika
    Powiązania:
    https://bibliotekanauki.pl/articles/593330.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    Lapunow wykładnik
    Metoda najbliższych sąsiadów
    Największy wykładnik
    Prognozowanie za pomocą największego wykładnika lapunowa
    Redukcja szumu losowego
    Współczynnik NRL
    Lyapunov exponent method of prediction
    Nearest neighbor method
    NRL indicator largest Lyapunov exponent
    Random noise reduction
    State space reconstruction
    Opis:
    Od momentu pojawienia się w literaturze pojęcia deterministycznego chaosu można zaobserwować ogromny wzrost zainteresowania wielu badaczy teorią nieliniowych układów dynamicznych. Owo zainteresowanie zaowocowało pojawieniem się nowych metod predykcji szeregów czasowych, tj. metody największego wykładnika Lapunowa oraz metody najbliższych sąsiadów. Rzeczywiste szeregi czasowe są zwykle zaburzone przez szum losowy, który może komplikować problem ich prognozowania. Obecność szumu w danych może znacząco wpływać na jakość otrzymanych prognoz, dlatego głównym celem artykułu będzie ocena dokładności prognozowania szeregów czasowych poddanych procesowi redukcji szumu losowego oraz ocena efektywoności wybranej metody redukcji.
    Since the deterministic chaos appeared in the literature, we have observed a huge increase of interest in nonlinear dynamic systems theory among researchers. This interest has led to the creation of new methods of time series prediction, e.g. the method of the largest Lyapunov exponent and the nearest neighbors. Real time series are usually distributed by random noise, which can complicate the problem of time series forecasting. As the presence of noise in the data can significantly affect the quality of forecasts, the aim of the article is to evaluate the accuracy of predicting the time series filtered using the nearest neighbor method and the effectiveness of the chosen method of reduction.
    Źródło:
    Studia Ekonomiczne; 2015, 227; 41-58
    2083-8611
    Pojawia się w:
    Studia Ekonomiczne
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-11 z 11

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