Articles de revues sur le sujet « Enviromental noise »

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.

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

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.

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.

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.

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.

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.

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.

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

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.