A macroscopic model for VOC emissions process complemented by real data

2018 ◽  
Vol 32 (19) ◽  
pp. 1850209 ◽  
Author(s):  
Yu-Qing Wang ◽  
Chao-Fan Zhou ◽  
Zi-Ang Zhu ◽  
Jia-Wei Wang ◽  
Zi-Meng Wang ◽  
...  
Keyword(s):  
Industrial Production ◽  
Real Data ◽  
Macroscopic Model ◽  
Optimal Solutions ◽  
Control Effect ◽  
Voc Emissions ◽  
Complete Set ◽  
The Relationship ◽  
Theoretical Analyses ◽  
Sample Set

Based on tremendous real data, a macroscopic model is established, which can depict the process of volatile organic compound (namely, VOC) emissions. Different from previous work, a complete set of sources is taken into account rather than only an isolated source. These data have been processed to support the sample set in order to prove the validity of the theoretical analyses. Besides, the relationship between the industrial production and VOC emissions of industrial source is discussed and depicted. Furthermore, the relationship between the electronic industrial production and VOC emissions is emphasized and calculated. VOC emissions per unit production is investigated. Additionally, the relationship between the number of sample points in the sample set and VOC emissions is illustrated. Then, the control strategy of VOC emissions is proposed by calculating the optimal solutions of each sample set. It is found that the lower the slope of optimal solutions, the lower the average VOC emissions, the better the VOC emissions control effect.

scholarly journals Spatial pattern and genetic diversity estimates are linked in stochastic models of population differentiation

2000 ◽  
Vol 23 (3) ◽  
pp. 541-544 ◽  
Author(s):  
José Alexandre Felizola Diniz-Filho ◽  
Mariana Pires de Campos Telles
Keyword(s):  
Genetic Diversity ◽  
Spatial Pattern ◽  
Stochastic Models ◽  
Population Differentiation ◽  
Real Data ◽  
Population Heterogeneity ◽  
Data Set ◽  
Mantel’S Test ◽  
The Relationship ◽  
Diversity Estimates

In the present study, we used both simulations and real data set analyses to show that, under stochastic processes of population differentiation, the concepts of spatial heterogeneity and spatial pattern overlap. In these processes, the proportion of variation among and within a population (measured by G ST and 1 - G ST, respectively) is correlated with the slope and intercept of a Mantel's test relating genetic and geographic distances. Beyond the conceptual interest, the inspection of the relationship between population heterogeneity and spatial pattern can be used to test departures from stochasticity in the study of population differentiation.

scholarly journals Fuzzy Interpolation with Extensional Fuzzy Numbers

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 170
Author(s):  
Michal Holčapek ◽  
Nicole Škorupová ◽  
Martin Štěpnička
Keyword(s):  
Analytical Methods ◽  
Fuzzy Numbers ◽  
Interpolation Method ◽  
Natural Extension ◽  
Real Data ◽  
Fuzzy Interpolation ◽  
The Relationship

The article develops further directions stemming from the arithmetic of extensional fuzzy numbers. It presents the existing knowledge of the relationship between the arithmetic and the proposed orderings of extensional fuzzy numbers—so-called S-orderings—and investigates distinct properties of such orderings. The desirable investigation of the S-orderings of extensional fuzzy numbers is directly used in the concept of S-function—a natural extension of the notion of a function that, in its arguments as well as results, uses extensional fuzzy numbers. One of the immediate subsequent applications is fuzzy interpolation. The article provides readers with the basic fuzzy interpolation method, investigation of its properties and an illustrative experimental example on real data. The goal of the paper is, however, much deeper than presenting a single fuzzy interpolation method. It determines direction to a wide variety of fuzzy interpolation as well as other analytical methods stemming from the concept of S-function and from the arithmetic of extensional fuzzy numbers in general.

Predicting emotions in music using the onset curve

2021 ◽  
pp. 030573562110316
Author(s):  
Elena Saiz-Clar ◽  
Miguel Ángel Serrano ◽  
José Manuel Reales
Keyword(s):  
Emotional Response ◽  
Principal Component ◽  
Musical Instrument ◽  
Musical Score ◽  
Musical Note ◽  
Human Voice ◽  
Frequency Domains ◽  
Complete Set ◽  
The Moment ◽  
The Relationship

The relationship between parameters extracted from the musical stimuli and emotional response has been traditionally approached using several physical measures extracted from time or frequency domains. From time-domain measures, the musical onset is defined as the moment in that any musical instrument or human voice issues a musical note. The onsets’ sequence in the performance of a specific musical score creates what is known as the onset curve (OC). The influence of the structure of OC on the emotional judgment of people is not known. To this end, we have applied principal component analysis on a complete set of variables extracted from the OC to capture their statistical structure. We have found a trifactorial structure related to activation and valence dimensions of emotional judgment. The structure has been cross-validated using different participants and stimuli. In this way, we propose the factorial scores of the OC as a reliable and relevant piece of information to predict the emotional judgment of music.

INTERCONNECTION BETWEEN GLOBAL SUPPLY CHAINS AND INDUSTRY

2021 ◽  
pp. 6-11
Author(s):  
Alexander N. Bryntsev ◽  
◽  
M.A. Bykova ◽  
Keyword(s):  
Artificial Intelligence ◽  
Supply Chains ◽  
Automotive Industry ◽  
Industrial Production ◽  
High Tech ◽  
Global Supply Chains ◽  
Global Competition ◽  
Macroeconomic Analysis ◽  
The Relationship

In the article, the authors consider the issues of the relationship between global supply chains and industrial production of semiconductors in modern conditions. Particular attention is paid to the applied value of the application of artificial intelligence technologies in industry in the light of the growth of global competition. Their specific features, strengths and weaknesses are shown. A brief macroeconomic analysis of the development of markets for robotics, the automotive industry, high-tech products, as well as modern regulations on the eve of a new technological order is given.

Application of a flow-measurement structure for sediment-laden streams

2009 ◽  
Vol 36 (9) ◽  
pp. 1539-1543
Author(s):  
Mustafa Göğüş ◽  
A. Cüneyt Gerek ◽  
A. Burcu Altan-Sakarya
Keyword(s):  
Water Level ◽  
Flow Measurement ◽  
Sediment Load ◽  
Real Data ◽  
Flow Depth ◽  
Rating Curve ◽  
Natural Streams ◽  
The Relationship ◽  
High Sediment ◽  
Single Relation

Generally, measurement of flow in natural streams is accomplished by measuring the flow depth. Hence, the relationship between the water level and discharge should be obtained in advance. However, in streams with high sediment load, the bottom level may change due to sediment deposition, preventing the single relation between water level and discharge. This paper summarizes the application of a flow-measurement structure for sediment-laden streams. The proposed structure is designed and built in Turkey and has been under operation since 1998 without any sedimentation problem. The agreement between the real data obtained from the structure and the theoretical rating curve is quite reasonable.

scholarly journals Relationship Between Industrial Production and Pawnshop Market of the Ural Macroregion

2021 ◽  
Vol 93 ◽  
pp. 05020
Author(s):  
Natalia Novikova ◽  
Mariia Rigel
Keyword(s):  
Industrial Production ◽  
Market Development ◽  
High Tech ◽  
Economic Region ◽  
Economic Entity ◽  
Republic Of Bashkortostan ◽  
Perm Krai ◽  
Chelyabinsk Region ◽  
Economic Regions ◽  
The Relationship

The article focuses on the need to study the processes of a new high-tech industrialization (neo-industrialization) at the macroregion level. The object of the study is the economic region of the Russian Federation (the macroregion) as a relatively integral spatially localized and complexly structured socio-economic entity, which includes four Ural regions – Kurgan region, Orenburg region, Sverdlovsk region and Chelyabinsk region, Perm krai and two republics – Republic of Bashkortostan and Republic of Udmurtia, which corresponds to the borders of the Ural economic region according to the all-Russian classifier of economic regions. The purpose of this study is to prove the relationship between the level of industrial production and the level of the pawnshop market development in the Ural macroregion. The territory of the Ural macroregion is analyzed from the perspective of the relationship between the level of industrial production and the level of the pawnshop market development. The Authors proved the existence of a direct relationship between the level of industrial production and the level of pawnshops territorial concentration, and also identified the territories that are leaders in the pawnshops concentration. The Authors put forward a scientific hypothesis about the most effective model of pawnshop activity. The conclusion is made about mutually beneficial cooperation between precious metal processing enterprises and pawnshops, which contributes to the development of both the pawnshop sector and this type of industrial activity.

scholarly journals CRECIMIENTO ECONÓMICO Y DESIGUALDAD EN ASIA, EUROPA Y AMÉRICA LATINA, 1990-2019

2020 ◽  
Vol 80 (315) ◽  
pp. 59
Author(s):  
Verónica Cerezo García ◽  
Heri Oscar Landa Díaz
Keyword(s):  
Economic Growth ◽  
Latin America ◽  
Income Distribution ◽  
Trade Liberalization ◽  
Latin American ◽  
Free Market ◽  
Exogenous Shock ◽  
America Latina ◽  
The Relationship ◽  
Sample Set

<p>El objetivo de este trabajo es analizar el efecto de la liberalización comercial sobre la productividad, la distribución del ingreso y el crecimiento económico, además de examinar la capacidad de absorción que este proceso ha concedido a los países ante choques externos, como el Covid-19. Empíricamente, tomamos pie en la taxonomía de crecimiento y desigualdad de Fajnzylber (1990) y en un modelo panel para evaluar esta relación en Asia, América Latina y Europa durante el periodo 1990-2019. Los principales resultados muestran: 1) co-movimiento entre crecimiento y equidad en Asia, mientras que en América Latina hay rezagos significativos, y 2) la productividad y la competitividad no precio constituyen el factor dinamizante en Asia y Europa.</p><p align="center"><strong> </strong></p><p align="center">ECONOMIC GROWTH AND INEQUALITY IN ASIA, EUROPE, AND LATIN AMERICA, 1990-2019</p><p align="center"><strong>ABSTRACT</strong></p><p>The paper’s aim is to analyse the effect of trade liberalization on productivity, income distribution and economic growth. The ability of a free-market oriented economy to fence off an exogenous shock such as the Covid-19 pandemic is also dealt with. Following Fajnzylber’s (1990) taxonomy of growth and inequality, we assess the relationship between trade liberalisation, growth and income distribution for a sample set of Asian, Latin American, and European countries over the period 1990-2019. Our main empirical results show that there exist: 1) a co-movement between growth and equality in Asia, but significant lags in both respects prevail in Latin America; 2) productivity and non-price competitiveness are the dynamizing factors in both Asia and Europe</p>

scholarly journals State and Private Archives: Construction of the System of Relations and Opportunities of Cooperation

Atlanti ◽  
2018 ◽  
Vol 28 (1) ◽  
pp. 229-237
Author(s):  
Andrei Rybakou
Keyword(s):  
Future Generations ◽  
Archival Science ◽  
Optimal Solutions ◽  
Public And Private ◽  
Private Organizations ◽  
Permanent Storage ◽  
State Archives ◽  
The Relationship

The article is devoted to the search for optimal solutions for building the relationship between public and private archives. The author acknowledges that the documents formed in the activities of private organizations have value and are subject to permanent storage for future generations. However, it is impossible to keep all the documentation, therefore, when selecting documents for permanent storage, it is necessary to take into account the principles and criteria for disposal developed by archival science, to apply them in a complex and creatively. When organizing work with private archives and accepting their documents in state archives, it is necessary to proceed from the property of the documents and, depending on the established legal relations and the value of documents of specific organizations, apply different approaches.

scholarly journals Toward a Country-Based Prediction Model of COVID-19 Infections and Deaths Between Disease Apex and End: Evidence From Countries With Contained Numbers of COVID-19

2021 ◽  
Vol 8 ◽  
Author(s):  
Tianshu Gu ◽  
Lishi Wang ◽  
Ning Xie ◽  
Xia Meng ◽  
Zhijun Li ◽  
...  
Keyword(s):  
Real Data ◽  
Control Measures ◽  
Actual Number ◽  
The Public ◽  
The Us ◽  
Multiple Regression Models ◽  
Before And After ◽  
Using Data ◽  
High Degree ◽  
The Relationship

The complexity of COVID-19 and variations in control measures and containment efforts in different countries have caused difficulties in the prediction and modeling of the COVID-19 pandemic. We attempted to predict the scale of the latter half of the pandemic based on real data using the ratio between the early and latter halves from countries where the pandemic is largely over. We collected daily pandemic data from China, South Korea, and Switzerland and subtracted the ratio of pandemic days before and after the disease apex day of COVID-19. We obtained the ratio of pandemic data and created multiple regression models for the relationship between before and after the apex day. We then tested our models using data from the first wave of the disease from 14 countries in Europe and the US. We then tested the models using data from these countries from the entire pandemic up to March 30, 2021. Results indicate that the actual number of cases from these countries during the first wave mostly fall in the predicted ranges of liniar regression, excepting Spain and Russia. Similarly, the actual deaths in these countries mostly fall into the range of predicted data. Using the accumulated data up to the day of apex and total accumulated data up to March 30, 2021, the data of case numbers in these countries are falling into the range of predicted data, except for data from Brazil. The actual number of deaths in all the countries are at or below the predicted data. In conclusion, a linear regression model built with real data from countries or regions from early pandemics can predict pandemic scales of the countries where the pandemics occur late. Such a prediction with a high degree of accuracy provides valuable information for governments and the public.

Sign in / Sign up

Export Citation Format

Share Document