APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 11th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’19最新文献

{"title":"Noise-induced phantom attractor in the enzyme kinetics","authors":"I. Bashkirtseva, S. Zaitseva, A. Pisarchik","doi":"10.1063/1.5130805","DOIUrl":"https://doi.org/10.1063/1.5130805","url":null,"abstract":"","PeriodicalId":179088,"journal":{"name":"APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 11th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’19","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122350709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Celebrating Vladislav Pukhnachev’s 80th Birthday: Application of Mathematics in Technical and Natural Sciences 11th International Conference – AMiTaNS’19","authors":"D. TodorovMichail","doi":"10.1063/1.5130785","DOIUrl":"https://doi.org/10.1063/1.5130785","url":null,"abstract":"","PeriodicalId":179088,"journal":{"name":"APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 11th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’19","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133233677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparison of quasi-Monte Carlo methods based on Faure and Sobol sequences for multidimensional integrals in air pollution modeling","authors":"V. Todorov, I. Dimov, Yuri M. Dimitrov, Tzvetan Ostromsky, R. Georgieva","doi":"10.1063/1.5130792","DOIUrl":"https://doi.org/10.1063/1.5130792","url":null,"abstract":"Air pollution and meteorological models are examples of mathematical models with a lot of natural uncertainties in their input data sets and parameters. Sensitivity analysis is a powerful tool for studying and improving the reliability of such models. In this paper we present the results of a global sensitivity study of the Unified Danish Eulerian Model (UNI-DEM). One of the most important features of UNI-DEM is its advanced chemical scheme the Condensed CBM IV, which considers a large number of chemicals, and various reactions between them, of which the ozone is the most important pollutant because it is used in many practical applications. The stochastic methods based on Faure and Sobol sequences are used for computing the sensitivity measures. The numerical experiments show that the stochastic algorithms for the multidimensional integrals under consideration are efficient methods for computing the small value sensitivity indices.Air pollution and meteorological models are examples of mathematical models with a lot of natural uncertainties in their input data sets and parameters. Sensitivity analysis is a powerful tool for studying and improving the reliability of such models. In this paper we present the results of a global sensitivity study of the Unified Danish Eulerian Model (UNI-DEM). One of the most important features of UNI-DEM is its advanced chemical scheme the Condensed CBM IV, which considers a large number of chemicals, and various reactions between them, of which the ozone is the most important pollutant because it is used in many practical applications. The stochastic methods based on Faure and Sobol sequences are used for computing the sensitivity measures. The numerical experiments show that the stochastic algorithms for the multidimensional integrals under consideration are efficient methods for computing the small value sensitivity indices.","PeriodicalId":179088,"journal":{"name":"APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 11th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’19","volume":"5 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114134843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Space radiation effects in silicon solar cells: Physics based models, software, simulation and radiation effect mitigation","authors":"A. Fedoseyev, S. Herasimenka","doi":"10.1063/1.5130862","DOIUrl":"https://doi.org/10.1063/1.5130862","url":null,"abstract":"Improvements to solar cell efficiency and radiation hardness that are compatible with low cost, high volume manufacturing processes are critical for power generation applications in future long-term NASA and DOD space missions. We consider the physics based models, and simulations of the radiation effects in a novel, ultra-thin (UT), Si photovoltaic (PV) solar cell technology, Figure 1. Such solar cells have a potential to achieve high conversion efficiencies while shown to be lightweight, flexible, and low-cost, due to the use of Si high volume manufacturing techniques. To achieve high efficiency on thin wafers Regher Solar is using amorphous/crystalline silicon heterojunction technology and a novel contactless metallization technology based on electroplating which can enable ultrathin silicon solar cells with up to 23% AM0 efficiency. Flexible light-weight solar panels made of UT Si solar cells can reduce solar array mass, volume, and cost for space missions.When solar cells are used in outer space or in Lunar or Martian environments, they are subject to bombardment by high-energy particles, which induce a degradation referred to as radiation damage. Radiation tolerance (or hardness) of this UT Si PV technology is not well understood. Research, review, and analysis of solar-cell radiation-effects models in literature have been conducted, and physics-based models have been selected and validated [1]. Several different engineering approaches have been investigated to improve Si solar cell radiation hardness. Other approaches include Material/ Impurity/Defect Engineering (MIDE), Device Structure Engineering (DSE), and device operational mode engineering (DOME), which have been shown to be effective in reducing the effects of displacement damage in Si based devices [2]. Lithium-doped, radiation-resistance silicon solar cell is considered an attractive experimentally proven possibility as well [3].In this paper, we provide the results of numerical simulation of the radiation effects in UT Si PV cells, and review radiation damage mitigation techniques. The results of numerical simulation of the radiation effects, coupled with the phenomenon of non-uniform vacancy creation (i.e., maximum displacement damage occurs near the Bragg peak, as described earlier), further indicate that a high-energy protons will cause minimal damage in the ultra-thin 50µm (or thinner) Si solar cell. These results show that the UT Si PV cell technology can be used for space applications in the high radiation environment.","PeriodicalId":179088,"journal":{"name":"APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 11th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’19","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134269257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On lazy Faber’s type decomposition for linear splines","authors":"A. Makarov, S. Makarova","doi":"10.1063/1.5130851","DOIUrl":"https://doi.org/10.1063/1.5130851","url":null,"abstract":"We examine Faber’s type decompositions for spaces of linear minimal splines. The purpose of the paper is investigating new types of spline wavelets for nonuniform grids on a closed interval. Construction of calibration relations for two-fold refining of a initial arbitrary nonuniform grid leads to lazy linear spline wavelet decomposition.We examine Faber’s type decompositions for spaces of linear minimal splines. The purpose of the paper is investigating new types of spline wavelets for nonuniform grids on a closed interval. Construction of calibration relations for two-fold refining of a initial arbitrary nonuniform grid leads to lazy linear spline wavelet decomposition.","PeriodicalId":179088,"journal":{"name":"APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 11th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’19","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130098475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Conjugate gradient method for solving the inverse gravimetry problem in multilayered medium: Parallel implementation","authors":"E. Akimova, V. Misilov","doi":"10.1063/1.5130861","DOIUrl":"https://doi.org/10.1063/1.5130861","url":null,"abstract":"The paper is devoted to construction of the time efficient algorithm for solving the structural inverse gravimetry problem in the case of multilayered medium. The problem is in finding multiple interfaces between layers with different constant densities using known gravitational data. This problem is described by a nonlinear integral equation of the first kind; it is ill-posed. After discretization of the area and approximation of the integral operator, the problem is reduced to solving a system of nonlinear equations. An efficient method was constructed on the basis of the nonlinear conjugate gradient method. The algorithm uses the approximation of the Jacobian matrix of the integral operator based on dropping out the lesser elements and utilizing the Toeplitz-block-Toeplitz structure of the matrix. The parallel algorithm was implemented for the multicore processors and graphics processors using OpenMP and CUDA technologies. The structural gravimetry problem of reconstructing three surfaces using quasi-real data was solved.The paper is devoted to construction of the time efficient algorithm for solving the structural inverse gravimetry problem in the case of multilayered medium. The problem is in finding multiple interfaces between layers with different constant densities using known gravitational data. This problem is described by a nonlinear integral equation of the first kind; it is ill-posed. After discretization of the area and approximation of the integral operator, the problem is reduced to solving a system of nonlinear equations. An efficient method was constructed on the basis of the nonlinear conjugate gradient method. The algorithm uses the approximation of the Jacobian matrix of the integral operator based on dropping out the lesser elements and utilizing the Toeplitz-block-Toeplitz structure of the matrix. The parallel algorithm was implemented for the multicore processors and graphics processors using OpenMP and CUDA technologies. The structural gravimetry problem of reconstructing three surfaces using quasi-r...","PeriodicalId":179088,"journal":{"name":"APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 11th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’19","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114245881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated management system for the temperature in a pyrolysis station used for end-of-life tires treatment","authors":"D. Menseidov","doi":"10.1063/1.5130814","DOIUrl":"https://doi.org/10.1063/1.5130814","url":null,"abstract":"Pyrolysis is a process that runs in an oxygen-free environment and at the same time a thermochemical decomposition occurs. This process can be used for sound treatment of End-Of-Life tires (EOLT) – one of the most dangerous wastes in the world. Temperature of pyrolysis process is a determining parameter for both the flow rate of the process and the resulting products. This requires the construction of an automated heating process management system that facilitates operation, increases safety and reduces the need for a permanent operator presence on the site. An automated management system for a pyrolysis station with three cameras used for EOLT treatment is presented in this paper.","PeriodicalId":179088,"journal":{"name":"APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 11th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’19","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128285803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computation of risk in pricing of investment projects","authors":"I. Raeva","doi":"10.1063/1.5130818","DOIUrl":"https://doi.org/10.1063/1.5130818","url":null,"abstract":"The notion of risk in the economy and finance refers to the deviation in one or more returns of one or more future events from their expected value. The value of these results may be positive or negative. Positive risk is seen as an opportunity, and the general use of the word risk only focuses on the potential damage (loss of positive outcomes) that may arise from a future event that results either from incurring costs (downside risk) or disability to make a profit (upside risk). The negative consequences of risk determine the need for risk study and management.The most commonly used one - step decision – making criteria in the context of the risk uncertainty are as follow: Laplace’s Criterion - a widely used criterion in decision-making tasks in uncertainty,which is based on the principle of insufficient justification; Gurvish’s Criterion - a Laplace Criterion analogue, but it implements the estimation of the mathematical expectation of loss in a different way; minmax / maxmim criterion - the realization of this criterion assumes choosing the best and the worst opportunity; Seaview’s criterion - a less pessimistic criterion from the previous one.The “scenario analysis” approach is used, in which the financial analyst requires the technical project manager to select indicators in case of poor circumstances (low sales volume, low prices, high cost, etc.) and in case of good circumstances. Based on the latter, the Net Present Value (NPV) is calculated and compared, i.e., the future value of the net income and the present value. A fundamental principle of assessing the cost-effectiveness of an investment project corresponds to the economic behavior of a person taking decision about the appropriateness or loss of certain investments. They are expressed by the indicator of the net income. When calculating the net income, the results and losses are always compared. Examples of different scenarios and selection criteria for risk estimation for particular projects in the paper are considered. The advantages and disadvantages of the different options are discussed.The notion of risk in the economy and finance refers to the deviation in one or more returns of one or more future events from their expected value. The value of these results may be positive or negative. Positive risk is seen as an opportunity, and the general use of the word risk only focuses on the potential damage (loss of positive outcomes) that may arise from a future event that results either from incurring costs (downside risk) or disability to make a profit (upside risk). The negative consequences of risk determine the need for risk study and management.The most commonly used one - step decision – making criteria in the context of the risk uncertainty are as follow: Laplace’s Criterion - a widely used criterion in decision-making tasks in uncertainty,which is based on the principle of insufficient justification; Gurvish’s Criterion - a Laplace Criterion analogue, but it implements the ","PeriodicalId":179088,"journal":{"name":"APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 11th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’19","volume":"23 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124506620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Equivalence group for generalized Kudryashov-Sinelshchikov equations of second order","authors":"Y. Bozhkov, S. Dimas, O. Duque","doi":"10.1063/1.5130788","DOIUrl":"https://doi.org/10.1063/1.5130788","url":null,"abstract":"The equivalence group for a class of nonlinear evolution partial differential equations, generalizing the second order Kudryashov-Sinelshchikov equation which describes pressure waves in liquid with bubbles, is calculated. Then a preliminary group classification of the equations in the considered class is obtained. After a simplification, based on the use of the found equivalence group, a complete group classification of these equations is carried out.The equivalence group for a class of nonlinear evolution partial differential equations, generalizing the second order Kudryashov-Sinelshchikov equation which describes pressure waves in liquid with bubbles, is calculated. Then a preliminary group classification of the equations in the considered class is obtained. After a simplification, based on the use of the found equivalence group, a complete group classification of these equations is carried out.","PeriodicalId":179088,"journal":{"name":"APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 11th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’19","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124626316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Price forecasting and risk portfolio optimization","authors":"V. Centeno, I. Georgiev, V. Mihova, V. Pavlov","doi":"10.1063/1.5130808","DOIUrl":"https://doi.org/10.1063/1.5130808","url":null,"abstract":"Nowadays, the stocks trading is very popular. That is why the problem of forecasting assets’ prices is of a special scientific interest. ARIMA (Autoregressive Integrated Moving Average) models for forecasting the stock prices are presented in this paper. For every model the expected return of the shares is calculated and the variance of the rate of returns is analyzed based on a given historical data. Quarterly data on stock prices of the four biggest banks in the United States, that are classified by total assets,areexamined for the period 01.01.2014 – 01.04.2019. An optimization problem is formulated, that is based on Harry Markowitz’s model. The solution of this problem leads to finding an optimal risk portfolio for one period ahead and gives an estimate value of the expected rate of return. Depending on the coefficient of risk aversion, a comparative analysis of the structure of a complete portfolio of a risky and a risk-free asset is made. A Matlab programming code is developed, giving the results for an optimal risk portfolio with n assets.Nowadays, the stocks trading is very popular. That is why the problem of forecasting assets’ prices is of a special scientific interest. ARIMA (Autoregressive Integrated Moving Average) models for forecasting the stock prices are presented in this paper. For every model the expected return of the shares is calculated and the variance of the rate of returns is analyzed based on a given historical data. Quarterly data on stock prices of the four biggest banks in the United States, that are classified by total assets,areexamined for the period 01.01.2014 – 01.04.2019. An optimization problem is formulated, that is based on Harry Markowitz’s model. The solution of this problem leads to finding an optimal risk portfolio for one period ahead and gives an estimate value of the expected rate of return. Depending on the coefficient of risk aversion, a comparative analysis of the structure of a complete portfolio of a risky and a risk-free asset is made. A Matlab programming code is developed, giving the results fo...","PeriodicalId":179088,"journal":{"name":"APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 11th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’19","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133412209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}