Aplicación móvil en Android para la adquisición de Gas Licuado de Petróleo (GLP) doméstico

At present, access to Liquefied Petroleum Gas (LPG) for domestic use is carried out in a traditional way, by means of gas transport vehicles that circulate through cities. The problem with this form of distribution is the dependence on schedules and routes of mobile gas distributors, being an ineffective way to commercialize gas for domestic use and bringing consequences like vehicular traffic, noise pollution and environmental pollution. For this reason, a mobile application was developed that allows the optimization of the gas distribution process using software development tools such as Android Studio, Firebase and Google APIs.

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Road traffic noise assessment in a hospital area in Umuarama - Brazil

Revista Nacional de Gerenciamento de Cidades ◽

10.17271/2318847297420213027 ◽

2021 ◽

Vol 9 (74) ◽

Author(s):

Samantha Junqueira Moreira ◽

Warde Antonieta Da Fonseca-Zang ◽

Cecília de Castro Bolina ◽

Stella Alonso Rocha ◽

Paulo Henrique Trombetta Zannin

Keyword(s):

Strong Correlation ◽

Sound Pressure ◽

Road Traffic ◽

Traffic Noise ◽

Noise Pollution ◽

Road Traffic Noise ◽

Vehicular Traffic ◽

Noise Levels ◽

Hospital Environments ◽

Noise Assessment

In hospital environments, high noise levels can result in damage to patients' treatments, delaying their rest and recovery. The sound pressure level (SPL) in hospital areas during the day must not exceed 50 dB and 45 dB (A) at night, according to NBR 10.151/2019. This research aimed to carry out environmental monitoring of equivalent sound pressure levels (LAeq) at fifteen points in the vicinity of three hospitals in the central region of the municipality of Umuarama-PR, during working days, at four different times, in the months of August, September and November 2018 and continued in March 2019. To this end, we sought to map the LAeq of the points, compare them with data from municipal and federal legislation and relate the LAeq to the volume of vehicular traffic. The collected SPL were higher than recommended by NBR 10.151 at all times and measurement points, during the week, and when considering the municipal regulations, only one point is in the equipment's accuracy limit. From the statistical analysis, a very strong correlation was observed between LAeq and the total volume of vehicles, and also a strong correlation between the descriptors L10 and L50 and the volume of vehicles. The Traffic Noise Index (TNI) was also calculated and the LAeq values were compared with a subjective noise rating. The results show a scenario of noise pollution in the area and there is a need for the application of mitigating measures.

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Urban green spaces and the influence on vehicular traffic noise control

Ambiente Construído ◽

10.1590/s1678-86212018000400299 ◽

2018 ◽

Vol 18 (4) ◽

pp. 161-175 ◽

Cited By ~ 3

Author(s):

Guillermo Angel Perez Lopez ◽

Léa Cristina Lucas de Souza

Keyword(s):

Negative Correlation ◽

Traffic Noise ◽

Pollution Index ◽

Noise Pollution ◽

Sound Level ◽

Green Spaces ◽

Vehicular Traffic ◽

Statistical Relationship ◽

Urban Green Spaces ◽

Green Areas

Abstract In this paper, we explore a statistical relationship between green areas and traffic-related vehicle noise. A medium-sized Brazilian city was selected as the sampling area. This area was divided into 25 subareas and for each subarea a group of descriptors was developed. The parameters considered were the areas occupied by green spaces and the noise pollution index generated by vehicular traffic during day and night periods. The green areas were quantified by digital processing of satellite images. The vehicular traffic noise was measured directly at the site and analysed by the noise pollution index (Lnp), the equivalent sound level (LAeq) and the day/night sound level (Ldn). In order to establish the statistical relationship between noise descriptors and green areas, Pearson's linear correlation coefficient (r) was used. Two analysis types were developed: a generalised one, including the 25 subareas; and a specific one, classifying the subareas into clusters. The first analysis indicated a trend to a medium negative correlation between green areas and noise pollution day index (Lnpd), noise pollution night index (Lnpn) and Ldn (r= -0.577, -0.484, -0.373). In the second analysis, the subarea cluster 3 is considered, which includes areas with clinics and educational institutions. This correlation was classified as high negative (r= -0.729, -0.721, -0.541). The results show indexes with high negative correlation, statistically meaning that there is an inverse proportional relationship between green areas and noise pollution.

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Pengaruh bising lalu lintas terhadap penurunan fungsi pendengaran pada juru parkir di kota Denpasar

Oto Rhino Laryngologica Indonesiana ◽

10.32637/orli.v40i2.3 ◽

2013 ◽

Vol 40 (2) ◽

Cited By ~ 1

Author(s):

Ni Ketut Susilawati ◽

Wayan Sudana ◽

Eka Putra Setiawan

Keyword(s):

Hearing Impairment ◽

Noise Exposure ◽

Traffic Noise ◽

Hearing Threshold ◽

Noise Pollution ◽

Simple Random Sampling ◽

Cross Sectional Study ◽

Control Group ◽

Cross Sectional ◽

Hearing Function

Background: Noise pollution or noise is an unwanted sound which is disturbing to human beings.However small or soft the sound, if it is undesirable it is considered as noise. Noise induced hearingloss is a sensorineural hearing loss that is commonly encountered second to presbycusis. Purpose: Toknow the effect of traffic noise exposure on hearing impairment to the employees of the Parking DistrictCompany of the Denpasar city and to improve diagnostic detection on hearing impairment caused bynoise. Method: A cross sectional study was conducted at the Parking District Company office. Thepopulations of this study were the employees of the Parking District Company. Samples of this study were the employees who were exposed to traffic noise and control samples were an employee who was unexposed. Samples were selected by simple random sampling. Results: From 40 parking attendants,27 persons (67.5%) aged above 35 years old. The parking attendants who had been working for ten to fifteen years were 36 persons (90%) and no history using ear protection when working. Seven persons(17.5%) had referred DPOAE upon examination with increase hearing threshold on audiogram result.In this study the parking attendants who had hearing deficit induced by noise were 7 persons (17.5%)and only one person (2.5%) in control group. There was a statistically significant effect of traffic noiseto hearing function deficit (p<0.05). Conclusion: Traffic noise has effect in hearing function deficit onthe parking attendants.ORLI Vol. 40 No. 2 Tahun 2010Key words: NIHL, parking attendant, audiometry, DPOAE.

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Knowledge-Based Software Development Tools

10.21236/ada265218 ◽

1993 ◽

Author(s):

Douglas R. Smith ◽

Thomas T. Pressburger

Keyword(s):

Software Development ◽

Knowledge Based ◽

Development Tools ◽

Software Development Tools

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An optimized Deep Neural Network Approach for Vehicular Traffic Noise Trend Modelling

IEEE Access ◽

10.1109/access.2021.3100855 ◽

2021 ◽

pp. 1-1

Author(s):

Ahmed Abdulkareem Ahmed ◽

Biswajeet Pradhan ◽

Subrata Chakraborty ◽

Abdullah Alamri ◽

Chang-Wook Lee

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Traffic Noise ◽

Vehicular Traffic ◽

Network Approach ◽

Neural Network Approach

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Traffic noise disrupts vocal development and suppresses immune function

Science Advances ◽

10.1126/sciadv.abe2405 ◽

2021 ◽

Vol 7 (20) ◽

pp. eabe2405

Author(s):

Henrik Brumm ◽

Wolfgang Goymann ◽

Sébastien Derégnaucourt ◽

Nicole Geberzahn ◽

Sue Anne Zollinger

Keyword(s):

Immune Function ◽

Noise Exposure ◽

Traffic Noise ◽

Vocal Learning ◽

Noise Pollution ◽

Experimental Models ◽

Speech Development ◽

Vocal Development ◽

Learning Impairments ◽

Cognitive Deficiencies

Noise pollution has been linked to learning and language deficits in children, but the causal mechanisms connecting noise to cognitive deficiencies remain unclear because experimental models are lacking. Here, we investigated the effects of noise on birdsong learning, the primary animal model for vocal learning and speech development in humans. We found that traffic noise exposure retarded vocal development and led to learning inaccuracies. In addition, noise suppressed immune function during the sensitive learning period, indicating that it is a potent stressor for birds, which is likely to compromise their cognitive functions. Our results provide important insights into the consequences of noise pollution and pave the way for future studies using birdsong as an experimental model for the investigation of noise-induced learning impairments.

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