scholarly journals Building a physical model of acoustic air pollution reduction process for brick manufacturing enterprises

2020 ◽  
Vol 164 ◽  
pp. 01011
Author(s):  
Vadim Bespalov ◽  
Oksana Gurova ◽  
Valeriya Baklakova
Keyword(s):  
Air Pollution ◽  
Physical Model ◽  
Mathematical Description ◽  
Physical Modeling ◽  
Reduction Process ◽  
Energy Approach ◽  
Pollution Reduction ◽  
Dispersed Systems ◽  
Manufacturing Enterprises

The article is devoted to the study of the air acoustic pollution reduction process for brick manufacturing enterprises based on the physical and energy approach based on the theory of dispersed systems. The authors performed physical modeling of the process taking into account the properties of all the objects taking part in it at each stage and the features of the space in which it is implemented. Based on the constructed model, a mathematical description of the probability of the process and its effectiveness is obtained.

scholarly journals Constructing a physical model of the process of acoustic air pollution for brick manufacturing enterprises

2020 ◽  
Vol 164 ◽  
pp. 08012
Author(s):  
Vadim Bespalov ◽  
Oksana Gurova ◽  
Valeriya Baklakova ◽  
Natalya Samarskaya
Keyword(s):  
Air Pollution ◽  
Physical Model ◽  
Physical Nature ◽  
Physical Characteristics ◽  
Energy Approach ◽  
Clay Brick ◽  
Manufacturing Enterprises ◽  
Multi Stage ◽  
Physical Essence ◽  
Probabilistic Process

The article is devoted to the analysis of the physical nature of the air acoustic pollution process for the clay brick workshop of the brick factory molding department. According to the physical and energy approach, acoustic pollution of the air is considered as a multi-stage probabilistic process, the implementation of which depends on the physical characteristics of the objects involved in it at each stage and the characteristics of their interaction with each other. The physical model of the air acoustic pollution process constructed by the authors clearly reveals the physical essence of each stage of this process.

scholarly journals Sounderfeit: cloning a physical model using a conditional adversarial autoencoder

2018 ◽  
Vol 18 (1) ◽  
pp. 44-60 ◽  
Author(s):  
Stephen Sinclair
Keyword(s):  
Neural Network ◽  
Parameter Estimation ◽  
Real Time ◽  
Physical Model ◽  
Physical Modeling ◽  
Synthesis System ◽  
Bidirectional Relationship ◽  
Adversarial Training ◽  
Recorded Data

An adversarial autoencoder conditioned on known parameters of a physical modeling bowed string syn- thesizer is evaluated for use in parameter estimation and resynthesis tasks. Latent dimensions are provided to cap- ture variance not explained by the conditional parameters. Results are compared with and without the adversarial training, and a system capable of “copying” a given parameter-signal bidirectional relationship is examined. A real- -time synthesis system built on a generative, conditioned and regularized neural network is presented, allowing to construct engaging sound synthesizers based purely on recorded data. 

scholarly journals COVID-19 national lockdown in Morocco: impacts on air quality and public health

2020 ◽  
Author(s):  
Kenza Khomsi ◽  
Houda Najmi ◽  
Hassan Amghar ◽  
Youssef Chelhaoui ◽  
Zineb Souhaili
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Anthropogenic Activities ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Pollution Reduction ◽  
Industrial Activities ◽  
Large Cities ◽  
Almost All ◽  
Quality Status

AbstractOn the 20th April 2020, the end date of the first strict lockdown period in Morocco, 2 403 410 cases of the corona Virus were confirmed globally. The number of Morocco confirmed cases attended 2990, while 12 746 were suspected and 143 deaths were recorded. Due to the pandemic of coronavirus disease 2019 worldwide and in Morocco, almost all avoidable activities in the country were prohibited since the kingdom announced activities reduction on March 16, 2020 and then general lockdown with reduced industrial activities on March 20, 2020.This study aims at comparing the air quality status in Casablanca and Marrakech, two large cities from Morocco, before the pandemic and during the lockdown situation to show whether COVID-19 compelled-anthropogenic activities lockdown may have saved lives by restraining ambient air pollution than by preventing infection.We found that, during the quarantine, NO2 dropped by -12 μg/m3 in Casablanca and -7 μg/m3 in Marrakech. PM2·5 dropped by -18 μg/m3 in Casablanca and -14 μg/m3 in Marrakech. CO dropped by -0.04 mg/m3 in Casablanca and -0.12 mg/m3 in Marrakech. This air pollution reduction had created human health benefits and had reduced mortality and saved lives mainly from cardiovascular diseases.

Progress of Theoretical Research-Oriented Multi-Species Small Batch Machining Process

2013 ◽  
Vol 364 ◽  
pp. 470-473
Author(s):  
Ming Yue Yue ◽  
Yi Dan Zhou
Keyword(s):  
Mathematical Description ◽  
Manufacturing Industry ◽  
Rapid Development ◽  
Machining Process ◽  
Theoretical Research ◽  
Process Theory ◽  
Matching Problem ◽  
Batch Production ◽  
Manufacturing Enterprises ◽  
Machinery Manufacturing

With the rapid development of machinery manufacturing industry, multi variety and small batch production has gradually become one of the main means of manufacturing enterprises. On the basis of describing the characteristics and meaning of multi variety and small batch production, this article summarizes its domestic and international situation of machinery process theory, optimization and evaluation methods, presents several methods of mathematical description and model for multi variety and small batch production and finally summarize the trends of matching problem between the processing technology and production system.

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