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1
Ortega, Jose C. « Paul S. Veneklasen, contributions to enviromental noise control ». Journal of the Acoustical Society of America 102, no 5 (novembre 1997) : 3174. http://dx.doi.org/10.1121/1.420810.
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Zhigulski, Vladimir, Daria Zhigulskaya, Vladimir Shuisky, Ekaterina Chebynina et Vitaly Panichev. « ENVIROMENTAL ASPECTS OF NOISE ASSESSMENT AND REGULATION IN THE DESIGN OF PORT COMPLEXES IN RUSSIA ». Akustika 34 (1 novembre 2019) : 72–78. http://dx.doi.org/10.36336/akustika20193472.
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A comparative analysis of various biological objects sensitivity to acoustic effects is being conducted. For many animal species, the frequency range at which sounds are heard is very different from that for humans and may not even intersect with it. The total frequency range at which various animals can hear covers at least eight orders of magnitude (from hundredths of Hz to hundreds of kHz), while for humans this interval is limited to only four orders of magnitude. Thus, the existing anthropocentric standards for permissible noise levels are unsuitable for regulating their impacts on natural ecosystems and it is necessary to develop standards for sound pressure levels in the entire specified frequency range that are acceptable for the most sensitive recipients. For terrestrial and riparian ecosystems and protected areas, natural test subjects are birds, for which noise levels of 35-40 dBA do not cause pathological changes in behavior and physiological processes. This level can tentatively be considered as maximum permissible for man-made noise and for the noise of ports in particular. More reliable results will be given by regulating the permissible sound pressure levels in the entire frequency range based on reactions of the most sensitive recipients in each octave.
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Tuân, Lê Đình, Anh Trần Tiến et Hải Nguyễn. « On the airport environmental noise monitoring and control system ». Science & ; Technology Development Journal - Engineering and Technology 3, SI2 (23 janvier 2021) : first. http://dx.doi.org/10.32508/stdjet.v3isi2.622.
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Most major airports use permanent noise and operations monitoring systems to reduce the noise of flight operations in the surrounding community. This paper aims at a technical proposal for a permanent environmental noise monitoring and control system to provide solutions to reduce the noise of flying activities for communities around the airport. Airport noise monitoring is often used to evaluate noise abatement programs and to improve the aircraft's take-off / landing procedures, to minimize the impact of aircraft noise based on altitude, flight path and time of day. Noise monitoring is usually linked to the tracking radar to determine which aircraft is in particular when the noise limit is exceeded and thus provides immediate operational requirements to meet. The airport noise enviromental monitoring and control system is often structured with fixed permanent noise monitoring stations, mobile noise monitoring stations, multi-parameter wheather stations, radar tracks and flights information to automatically evaluate the noise impact due to operation of aircrafts in the surrounds of airport, near and on residential areas. The entire system is operated by a software platform proposed as a cloud configuration available on the internet. The platform provides all the modules required to manage data such as noise and flight information monitoring and control, live data, reports, noise and flight information in public disclosure, complaints management, alarms and warnings, etc.
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Sohor, A. R., et P. M. Zazuliak. « Mapping of enviromental pollution of air in Lviv ». Kosmìčna nauka ì tehnologìâ 28, no 3 (18 juillet 2022) : 86–91. http://dx.doi.org/10.15407/knit2022.03.086.
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The condition and composition of air in Lviv are influenced by two main factors: the introduction of pollutants into the atmosphere through various sources and harmful physical effects on it. The latter includes radiation, sound vibrations, noise, and so on. These and other factors disrupt the optimal conditions of the air, which negatively affects human health and the condition and development of animals and plants. The main sources of pollutants in the air of Lviv are as follows: dust — vehicles, woodworking and building materials industry; sulfur dioxide — industrial enterprises, carbon monoxide — vehicles, thermal power plants; nitrogen dioxide — heat power companies; formaldehyde — motor transport, woodworking industry. Today, emissions from mobile sources are the biggest air pollutants in the city. The chemical composition of emissions from mobile sources of pollution is characterized by the predominance of carbon monoxide (up to 74 %), nitrogen compounds, and hydrocarbons (12 % and 11 %, respectively). Today the state of atmospheric air in large cities of Ukraine and, in particular, in the city of Lviv is at an unsatisfactory level. The main problems in this area are the progressive nature of the negative impact on the ecological state of the environment and human health. As there is currently no interactive cartographic material that can visualize the problem of environmental pollution, the main purpose of this work was to create an interactive web map of the quality of life of the population of Lviv in terms of air pollution. To achieve this goal, we collected and systematized geospatial statistical cartographic materials on the ecological conditions of the air in Lviv. The necessary software for the development of an interactive map of air pollution has been selected, and its possibilities have been studied. An algorithm for loading geospatial data into the created web resource has been developed. A template of applications for creating web maps of air pollution in Lviv was selected according to the indicators of 2020, which were measured at 30 crossroads of the city. Thus, two interactive web maps of air pollution in Lviv were developed in the environment «Google My Maps» and «ArcGIS Online».
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Sirait, Pahala, Irpan Adiputra Pardosi, Apriyanto Halim et Tommy -. « Implementasi Kombinasi Metode AFF dan FBET Untuk Peningkatan Kualitas Citra ». Jurnal SIFO Mikroskil 20, no 1 (4 avril 2019) : 1–10. http://dx.doi.org/10.55601/jsm.v20i1.550.
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Image enhancement is one of the most popular research topics currently in the field of image processing. Often image has poor quality caused by various factors such as lighting factor, enviromental factor or low quality of camera, and others. A number of these disturbances often become a barrier in improving the image quality where handling is the main objective of this research is done in the form of methodology base on the combination of AFF dan FBET algorithm. The result of the test on the proposed methodology show that in the process of noise loss continued with the image sharpening process obtained the value of PSNR = 18.56 dB is more optimal than the first done image sharpening process with the value of PSNR = 18.10 dB.
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Allen, John S. « Ambient acoustic enviroment—Diurnal soundscapes ». Journal of the Acoustical Society of America 152, no 4 (octobre 2022) : A270. http://dx.doi.org/10.1121/10.0016242.
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Soundscape ecology has emerged as an important technique for monitoring complex coastal environments. Spatial and temporal acoustic variability exists between different regions and habitats. The sound characteristics have been hypothesized to be related to the associated community’s diversity and health. The prominent sounds may originate from physical, biological, and anthropogenic sources. Biological sounds especially those at coral reefs locations may have seasonal, monthly and diurnal variations. Snapping shrimp noise can dominate the ambient noise background in these sub-tropical coastal regions. While seasonal variations of snapping shrimp sounds have been studied extensively, the diurnal variations across habitats are less understood. Ambient noise data from two sites on Oahu, Hawaii are investigated with respect to diurnal variations using both spectral and time series analysis. Motivations and inspirations from Dr. Lisa Zurk’s extensive work on passive acoustics are highlighted. In addition, Dr. Zurk made notable theoretical and numerical contributions to acoustic scattering research. Some recent studies on the scattering from gas bubbles in complex media are also outlined in tribute.
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Wu, Xiao Mei, Ren Cheng Zhang et Jian Hong Yang. « The On-Line Detection for AC Contactor’s Vibration Noise ». Advanced Materials Research 479-481 (février 2012) : 1174–79. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.1174.
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In order to make the AC contactor’s working noise measured under enviroment with strong backgroud noise, a kind of noise detecting system is developed based on LabVIEW. Firstly,a vibrating signal is obtained by acceleration transducer;Then a noise value is figured out by using sound radiation efficiency index curve and A weighting curve. The results indicate that the measuring precision is 2dB. The noise detecting system meets the precision demand of noise detecting.
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Setyawan, Febri Endra Budi, Amalia Wahyu Natasari, Nesrin Zaharah, Divi Aditya Romadhona Putra, Wafiyah Hasanah et Ronty Birnanda Ramadhona. « Preventive Management for Occupational Diseases in Battery Industry ». KELUWIH : Jurnal Kesehatan dan Kedokteran 3, no 1 (31 décembre 2021) : 1–8. http://dx.doi.org/10.24123/kesdok.v3i1.4678.
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Abstract—Occupational disease are important topic since they often occur in a long period of time. The purpose of this article is to find out how to prevent occupational diseases in the battery industry. This research is a systematic review of articles obtained through manual search engines from Google Scholars, Proquest, PubMed, Research Gate and has been published nationally and internationally in 2015-2020. The results of a systematic review were obtained from 30 scientific articles that were published nationally and internationally in 2015-2020 related to the battery industry process and related to occupational diseases. The factors contributing are varies from enviromental, biological, ergonomic, and the workers itself. There are several preventive management that can be done according to the analysis of the possible diseases that can be occured. Workers in the battery industry can experience occupational diseases, including: allergic contact dermatitis, bacterial conjunctivitis, noise-induced hearing loss, Low Back Pain and Carpal tunnel syndrome. Some prevention efforts that can be done include: using personal protective equipment, detecting workers who have a history of DKA, maintaining hygiene and cleanliness of the work environment, using furniture that is in accordance with ergonomic standards and not lifting heavy loads, reducing repetitive pressing movements and doing regular exercise.
Keywords: preventive, allergic contact dermatitis, conjungtivitis, nihl, lbp, cts, battery industry
Abstrak—Penyakit akibat kerja menjadi perhatian penting karena muncul dalam jangka waktu panjang sehingga harus dilakukan upaya pencegahan penyakit. Penelitian ini merupakan review sistematik artikel yang diperoleh melalui melalui mesin pencari manual dari Google Scholars, Proquest, PubMed, Research Gate dan telah terpublikasi nasional maupun internasional pada tahun 2015-2020. Hasil review sistematik diperoleh dari 30 artikel ilmiah yang telah terpublikasi nasional maupun internasional pada tahun 2015-2020 yang terkait dengan proses industry baterai dan terkait dengan penyakit akibat kerja. Faktor penyebabnya juga berbagai macam karena faktor lingkungan, biologi, ergonomi, ataupun dari faktor pekerja. terdapat beberapa upaya preventif yang dapat disesuaikan dengan kemungkinan penyakit akibat kerja yang mungkin akan timbul. Pekerja di industri baterai dapat mengalami penyakit akibat kerja, antara lain: dermatitis kontak alergi, konjungtivitis bakteri, gangguan pendengaran akibat kebisingan, Low Back Pain dan Carpal tunnel syndrome. Beberapa upaya pencegahan yang dapat dilakukan antara lain: menggunakan alat pelindung diri, mendeteksi pekerja yang memiliki riwayat DKA, menjaga kebersihan dan kebersihan lingkungan kerja, menggunakan furnitur yang sesuai dengan standar ergonomis dan tidak mengangkat beban berat, mengurangi penekanan berulang. gerakan dan melakukan olahraga teratur.
Kata Kunci: preventif, dermatitis kontak alergi (dka), konjungtivitis, nihl, lbp, cts, industri baterai
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Cheng, Lizhou, Jian Mao et 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.
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The traditional filtering methods such as median filter and mean filter always blurrs image features, resulting in poor noise reduction effect. Wavelet transform has unique adaptability due to its variable resolution, which can better implement wavelet denoising on the basis of image feature. Aiming at the shortcoming of traditional wavelet transform threshold denoising, based on the hard threshold and soft threshold function, this paper proposes improved adaptive thresholding function. By comparing and validating, this method obtains the smaller mean square error (MSE) and higher peak signal to noise ratio. Meanwhile, this method improves the quality of detection images, and reduces the impact on images brought by noise from external enviroment and internal system. So, this can be applied to image noise reduction of the detection system.
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GOLELOV, IGOR. « The Silicon Pixel Sensors in ATLAS ». International Journal of Modern Physics A 16, supp01c (septembre 2001) : 1100–1102. http://dx.doi.org/10.1142/s0217751x01009016.
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The ATLAS experiment is now in the process of finalizing the development of the design of silicon pixel sensors for use in the pixel detector. The sensors will be operated in a severe LHC radiation enviroment with bias voltages at the end of lifetime up to 600 V while maintaining a good signal-to-noise ratio and charge collection efficiency, small cell size and minimal multiple scattering. The radiation hardness issues and quality assurance procedures are discussed.
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ISHIMITSU, Shunsuke, Masashi NAKAYAMA et Toshikazu YOSHIMI. « 115 Construction of Recognition System Using Body-Conducted Speech in High Noise Enviroment ». Proceedings of the Symposium on Environmental Engineering 2007.17 (2007) : 75–76. http://dx.doi.org/10.1299/jsmeenv.2007.17.75.
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Jalil, Abdul Rahim, Muhammad Sharfi Najib, Suhaimi Mohd Daud et Mujahid Mohamad. « Intelligent Classification of Palm Oil Tree Pollination Using E-Nose ». MEKATRONIKA 2, no 1 (6 juin 2020) : 28–37. http://dx.doi.org/10.15282/mekatronika.v2i1.6722.
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The pollination period is one of the crucial steps needed to ensure crop yield increases, especially in palm oil palm plantations. Most of the research has difficulty determining the pollination period of palm oil. Many problems contribute to this problem, such as difficut to reach and depedency of the polination insect as the insect activity is influenced by the surrounding enviroment.E-Nose can help determine the period by classifiy odour pattern of the male and female palm oil flower. The pattern of each of the flowers were classified using cased – based reasoning artificial intelligent technique. This paper shows the research of the palm oil pollination flower odour profile pattern using case-based reasoning (CBR) classifier.
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Fabbri, A., S. M. Mari, P. Montini, F. Petrucci, D. Riondino et S. Sanfilippo. « Low Background Readout Electronics for Large Area Silicon Photomultipliers ». Journal of Physics : Conference Series 2374, no 1 (1 novembre 2022) : 012085. http://dx.doi.org/10.1088/1742-6596/2374/1/012085.
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In this work we present a low noise high speed readout electronics for large area Silicon Photomultipiers (SiPMs) to be used in a cryogenic environment. The board is able to manage the signals coming from a 25 cm2 SiPM tile, showing ¡10% SPE resolution and wide dynamic. The sub-nanosecond timing properties make them suitable to work with the typical mixtures of Liquid Scintillators currently being used in particle and astroparticle physics experiments. The boards have been tested with several types of SiPMs from room temperature down to -70 C showing excellent single photo-electron resolution in all the enviroments. The board’s PCBs have been developed with ultra low background material in order to be used in rare event searches.
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Hussain, A., F. Akhtar, Z. H. Khand, A. Rajput et Z. Shaukat. « Complexity and Limitations of GNSS Signal Reception in Highly Obstructed Enviroments ». Engineering, Technology & ; Applied Science Research 11, no 2 (11 avril 2021) : 6864–68. http://dx.doi.org/10.48084/etasr.3908.
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Multipath (MP) and/or Non Line-Of-Sight (NLOS) reception remains a potential vulnerability to satellite-based positioning and navigation systems in high multipath environments, such as an urban canyon. In such an environment, satellite signals are reflected, scattered or faded, and sometimes completely blocked by roofs and walls of high-rise buildings, fly-over bridges, complex road structures, etc. making positioning and navigation information inaccurate, unreliable, and largely unavailable. The magnitude of the positioning error depends on the satellite visibility, geometric distribution of satellites in the sky, and received signal quality and characteristics. The quality of the received signal (i.e. its statistical characteristics) can significantly vary in different environments and these variations can reflect in signal strength or power, range measurements (i.e. path delay and phase difference), and frequency, all of which distort the correlation curve between the received signal and receiver-generated replicas, resulting in range errors of tens of meters. Therefore, in order to meet stringent requirements defined for the Standard Positioning Service (SPS), the characterization of distortions that could significantly affect a Global Navigation Satellite System (GNSS) signal is essentially important. The scope of this paper is to detect possible imperfections/deviations in the GNSS signal characteristics that can occur due to MP or NLOS reception and analyze its effects. For this purpose, analysis of fading patterns in received signal strength (i.e. Carrier-to-Noise Ratio and strength fluctuations) is carried out in both clear LOS and high MP environment and then its impact on satellite lock state (i.e. tracking) is assessed. Furthermore, phase fluctuations and range residuals are computed to analyze the effects of path delays. The results show that significant variations can occur in GNSS signal characteristics in the MP environment that may result in loss of lock event and inaccurate/faulty range measurements.
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Benocci, Roberto, H. Eduardo Roman et Giovanni Zambon. « Optimized Sensors Network and Dynamical Maps for Monitoring Traffic Noise in a Large Urban Zone ». Applied Sciences 11, no 18 (9 septembre 2021) : 8363. http://dx.doi.org/10.3390/app11188363.
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We review a Dynamap European Life project whose main scope was the design, commissioning, and actual implementation of “real-time” acoustic maps in a district of the city of Milan (District 9, or Z9, composed of about 2000 road stretches), by employing a small number of noise monitoring stations within the urban zone. Dynamap is based on the idea of finding suitable sets of roads displaying similar daily traffic noise behavior, so that one can group them together into single dynamical noise maps. The Dynamap sensor network has been built upon twenty-four monitoring stations, which have been permanently installed in appropriate locations within the pilot zone Z9, by associating four sensors to each one of the six group of roads considered. In order to decide which road stretches belong to a group, a non-acoustic parameter is used, which is obtained from a traffic flow model of the city, developed and tested over the years by the “Enviroment, Mobility and Territory Agency” of Milan (EMTA). The fundamental predictive equation of Dynamap, for the local equivalent noise level at a given site, can be built by using real-time data provided by the monitoring sensors. In addition, the corresponding contributions of six static traffic noise maps, associated with the six group of roads, are required. The static noise maps can be calculated from the Cadna noise model, based on EMTA road traffic data referred to the ‘rush-hour’ (8:00–9:00 a.m.), when the road traffic flow is maximum and the model most accurate. A further analysis of road traffic noise measurements, performed over the whole city of Milan, has provided a more accurate description of road traffic noise behavior by using a clustering approach. It is found that essentially just two mean cluster hourly noise profiles are sufficient to represent the noise profile at any site location within the zone. In order words, one can use the 24 monitoring stations data to estimate the local noise variations at a single site in real time. The different steps in the construction of the network are described in detail, and several validation tests are presented in support of the Dynamap performance, leading to an overall error of about 3 dB. The present work ends with a discussion of how to improve the design of the network further, based on the calculation of the cross-correlations between monitoring stations’ noise data.
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Nugrahaeni, Ardhini. « HEALTH RISK ASSESSMENT IN UTILITY AREA IN PT PERTAMINA LUBRICANT PRODUCTION UNIT GRESIK ». Indonesian Journal of Public Health 15, no 2 (4 août 2020) : 224. http://dx.doi.org/10.20473/ijph.v15i2.2020.224-235.
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Health Risk Assessment (HRA) is one part of risk assessment. In the utility area at PT Pertamina Lubricant Production Unit of Gresik use a machines that have impact on health noise and temperature hazards. The aim of this study was to identify health risk assessment in the utility area at PT Pertamina Lubricant Production Unit Gresik. This was an observational descriptive study with cross sectional design. This study uses total population of 9 people consist of 1 supervisors Health Safety Enviroment (HSE), 3 HSE officer, and 5 workers. Primary data obtained from interviews, observations, noise and temperature measurements. Secondary data were got in the documents from the company. The collected data were assessed as likelihood and severity to count the risk. Afterward risk control assessed and residual risk is calculated. The results of this study showed that there were 3 steps of work with 6 potential hazard noise and temperature. The risk assessment has levels of risk medium risk and low risk. Medium risk was found in the boiler monitoring and compressor. Low risk was found in the stage of preparing CNG gas and turning on the machines. Control effectiveness is 75%. Residual risk has a low risk and no risk. It can be concluded that the potential hazard in the utility area was noise. Most of the risk found in this area was categorized as low risk. Risk control was properly implemented. If the recommendation of control properly implemented there will be no residual risk. The suggestions given are monitoring the implementation of controls, fit to work, use of PPE, socialization of the use of PPE, giving reward and punishment to motivate workers to safe behavior at workKeyword: health risk assessment, utility area, PT Pertamina Lubricant Production Unit Gresik
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Wang, Encheng, Zichen Mao, Jie Wang et Daming Lin. « An efficient wind measurement method with chaotic-sequence improved genetic-particle swarm optimization algorithm ». Journal of Intelligent & ; Fuzzy Systems, 28 décembre 2022, 1–12. http://dx.doi.org/10.3233/jifs-223378.
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Wind power is widely used in industry, meteorology, shipping and so on. Accurate measurement of wind parameters is the key to improve the efficiency of wind power application. But at present, wind parameters are largely measured by different devices based on time difference method, which is easily influnced by enviromental noise. Beam-forming algorithm can improve the ability to resist environmental noise and the accuracy of hardware itself. Therefore, the beam-forming algorithm can be used to measure wind parameters in the high noise environment. However, the efficiency of the algorithm depends on how to search for spectral peak. In this paper, a three-dimensional wind measurement method with chaotic-sequence improved genetic-particle swarm optimization algorithm is proposed to improve the waveform searching efficiency of beamforming algorithm. It first searches for rough target wind parameters globally, and then searches for precise target wind parameters locally. Through simulation verification, the proposed algorithm can measure the wind parameters after 0.087s under the condition of system error of 50dB and environmental noise of 20dB, the accuracy of wind speed is 0.5%, the accuracy of wind direction is 1%, and the accuracy of pitch angle is 0.5%. Compared with the wind measurement by traversal method, the proposed algorithm can improve the wind measurement efficiency by about 20 times, and has similar or even better measurement results.. And by comparing with other algorithms, the advantages of this algorithm are verified.