Pub Date : 2018-12-28DOI: 10.25728/ASSA.2018.18.4.617
Ramya Raghavachari, Moorthi Sridharan
The tremendous increase in the use of portable electronic devices is due to the development in the fields of signal processing and electronic technology. These battery operated devices needs reduction in power consumption with increased performance and long battery life. Since CMOS technology scaling fast approaches its physical limit of minimum supply voltage and smaller feature size, the hardware designer has to opt for new multiplier architectures for achieving low power and high speed performance. This paper proposes an area and power efficient approximate multiplier architecture. The error metrics are estimated to verify its performance advantage over other approximate multipliers. Using Frequency Response masking approach, a 6-band non-uniform digital FIR filter bank is developed using approximate multiplier for hearing aid application. Audiogram matching is done with audiograms of two different types of hearing losses and the matching error is computed. Simulation results show that the audiogram matching error falls within +/- 4 dB range.
{"title":"Modeling and Simulation of Frequency Response Masking FIR Filter Bank using Approximate Multiplier for Hearing Aid Application","authors":"Ramya Raghavachari, Moorthi Sridharan","doi":"10.25728/ASSA.2018.18.4.617","DOIUrl":"https://doi.org/10.25728/ASSA.2018.18.4.617","url":null,"abstract":"The tremendous increase in the use of portable electronic devices is due to the development in the fields of signal processing and electronic technology. These battery operated devices needs reduction in power consumption with increased performance and long battery life. Since CMOS technology scaling fast approaches its physical limit of minimum supply voltage and smaller feature size, the hardware designer has to opt for new multiplier architectures for achieving low power and high speed performance. This paper proposes an area and power efficient approximate multiplier architecture. The error metrics are estimated to verify its performance advantage over other approximate multipliers. Using Frequency Response masking approach, a 6-band non-uniform digital FIR filter bank is developed using approximate multiplier for hearing aid application. Audiogram matching is done with audiograms of two different types of hearing losses and the matching error is computed. Simulation results show that the audiogram matching error falls within +/- 4 dB range.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"18 1","pages":"74-91"},"PeriodicalIF":0.0,"publicationDate":"2018-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47464481","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}
Pub Date : 2018-12-28DOI: 10.25728/ASSA.2018.18.4.660
A. Sapronov, V. Belavin, K. Arzymatov, M. Karpov, A. Nevolin, A. Ustyuzhanin
In this paper, we consider the problem of fine-tuning a discrete event simulator of distributed storage system by a neural network trained with reinforcement learning algorithms on real data. The simulator has a set of control parameters that affect its behaviour and can be tuned during the simulation. Variation of these parameters influences how realistic the simulation is. The problem of simulator tuning is equivalent to the discovery of an optimal control strategy that leads to sensible results. We investigate different optimization metrics and demonstrate the viability of the approach.
{"title":"Tuning hybrid distributed storage system digital twins by reinforcement learning","authors":"A. Sapronov, V. Belavin, K. Arzymatov, M. Karpov, A. Nevolin, A. Ustyuzhanin","doi":"10.25728/ASSA.2018.18.4.660","DOIUrl":"https://doi.org/10.25728/ASSA.2018.18.4.660","url":null,"abstract":"In this paper, we consider the problem of fine-tuning a discrete event simulator of distributed storage system by a neural network trained with reinforcement learning algorithms on real data. The simulator has a set of control parameters that affect its behaviour and can be tuned during the simulation. Variation of these parameters influences how realistic the simulation is. The problem of simulator tuning is equivalent to the discovery of an optimal control strategy that leads to sensible results. We investigate different optimization metrics and demonstrate the viability of the approach.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"18 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2018-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44382943","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}
Pub Date : 2018-10-31DOI: 10.25728/ASSA.2018.18.3.568
G. Veresnikov, L. Pankova, V. Pronina
In design, especially in preliminary design, the assumption of parameter accuracy is not justified, since the parameters here are inaccurate (uncertain), due to insufficient knowledge or lack of statistics, as well as the fact that design parameters are further implemented in the production with some tolerance. The application of deterministic optimization methods under conditions of parametric uncertainty can lead to unacceptable solutions even with slight variation in the parameters. Currently, to account for uncertainty of the parameters there are commonly used stochastic methods designed to account for aleatory uncertainty with a priori known distribution functions of random parameters. However, in the preliminary design, most of the parameters are not random variables with known distribution functions. The necessary information on the parameters is obtained from the experts. In this paper, we develop methods and algorithms for preliminary design in conditions of epistemic uncertainty arising from lack of knowledge and observation results, replenished by expert assessments. In the paper the problem of optimal design in the presence of input and design parameters with epistemic uncertainty is considered. The choice of Liu's uncertainty theory for solving the problems of preliminary design is justified. The model of uncertain design parameter and optimization model with uncertain design and input parameters are proposed. The task of optimal design of the propulsion system parameters of supersonic maneuverable airplane is solved using the proposed models. The results are compared with the solution using Monte Carlo method. The solution time using the proposed model is two orders of magnitude less.
{"title":"Preliminary Design With the Epistemic Uncertainty of Parameters","authors":"G. Veresnikov, L. Pankova, V. Pronina","doi":"10.25728/ASSA.2018.18.3.568","DOIUrl":"https://doi.org/10.25728/ASSA.2018.18.3.568","url":null,"abstract":"In design, especially in preliminary design, the assumption of parameter accuracy is not justified, since the parameters here are inaccurate (uncertain), due to insufficient knowledge or lack of statistics, as well as the fact that design parameters are further implemented in the production with some tolerance. The application of deterministic optimization methods under conditions of parametric uncertainty can lead to unacceptable solutions even with slight variation in the parameters. Currently, to account for uncertainty of the parameters there are commonly used stochastic methods designed to account for aleatory uncertainty with a priori known distribution functions of random parameters. However, in the preliminary design, most of the parameters are not random variables with known distribution functions. The necessary information on the parameters is obtained from the experts. In this paper, we develop methods and algorithms for preliminary design in conditions of epistemic uncertainty arising from lack of knowledge and observation results, replenished by expert assessments. In the paper the problem of optimal design in the presence of input and design parameters with epistemic uncertainty is considered. The choice of Liu's uncertainty theory for solving the problems of preliminary design is justified. The model of uncertain design parameter and optimization model with uncertain design and input parameters are proposed. The task of optimal design of the propulsion system parameters of supersonic maneuverable airplane is solved using the proposed models. The results are compared with the solution using Monte Carlo method. The solution time using the proposed model is two orders of magnitude less.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"18 1","pages":"154-164"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45629851","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}
Pub Date : 2018-10-31DOI: 10.25728/ASSA.2018.18.3.583
A. Abdulov, A. Abramenkov, A. Shevlyakov
Using simulators and virtual environments can simplify the development and testing of various control, behavior and navigation scenarios significantly. In this article we describe our experience using the ROS environment and the Gazebo simulator to develop an autonomous multicopter UAV that can navigate an unknown building and locate an exit using computer vision techniques.
{"title":"Visual Odometry Approaches to Autonomous Navigation for Multicopter Model in Virtual Indoor Environment","authors":"A. Abdulov, A. Abramenkov, A. Shevlyakov","doi":"10.25728/ASSA.2018.18.3.583","DOIUrl":"https://doi.org/10.25728/ASSA.2018.18.3.583","url":null,"abstract":"Using simulators and virtual environments can simplify the development and testing of various control, behavior and navigation scenarios significantly. In this article we describe our experience using the ROS environment and the Gazebo simulator to develop an autonomous multicopter UAV that can navigate an unknown building and locate an exit using computer vision techniques.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"18 1","pages":"17-28"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42236397","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}
Pub Date : 2018-10-31DOI: 10.25728/ASSA.2018.18.3.634
A. Valuev, Maria Alexeevna Lozinskaya
The main regional economic, ecological and social effects resulting from the implementation of design solutions in the field of mining of solid mineral deposits are systematized in general. Two cases are distinguished, for which the new enterprise production is mainly consumed within the region and outside it, resp. Typical impact on transport branch and social sphere is studied for both cases. The paper mainly concentrates on the case of Russian Federation, since differences in legal system (in particular, the fiscal system), culture of everyday life, territorial distribution and mobility of population, as it is shown in scientific literature, lead to different form of interrelation between these factors in involved countries and regions. Their influence on incomes and expenses of local budgets depending on the economic conjuncture and the state of the manpower market is considered. Direct and indirect effects are taken in to account, the latter resulting from additional amount of services due to increase of total wages in the local mining industry. A formula for budget increment because of the new production including the indirect effects is derived. Particular attention is paid to the problem of selecting the level of completeness of the stock extraction in the project. Economic and ecological consequences of the latter are considered in detail. The problem rests to reveal significance of impact of expected mineral industry activities on different sectors of the local economy, for which probably the statistical method by Toda and Yamamoto may be applied.
{"title":"On Classification and Assessment of Regional Economic and Social Effects of the Implementation of Projects for Mining of Solid Minerals Deposits","authors":"A. Valuev, Maria Alexeevna Lozinskaya","doi":"10.25728/ASSA.2018.18.3.634","DOIUrl":"https://doi.org/10.25728/ASSA.2018.18.3.634","url":null,"abstract":"The main regional economic, ecological and social effects resulting from the implementation of design solutions in the field of mining of solid mineral deposits are systematized in general. Two cases are distinguished, for which the new enterprise production is mainly consumed within the region and outside it, resp. Typical impact on transport branch and social sphere is studied for both cases. The paper mainly concentrates on the case of Russian Federation, since differences in legal system (in particular, the fiscal system), culture of everyday life, territorial distribution and mobility of population, as it is shown in scientific literature, lead to different form of interrelation between these factors in involved countries and regions. Their influence on incomes and expenses of local budgets depending on the economic conjuncture and the state of the manpower market is considered. Direct and indirect effects are taken in to account, the latter resulting from additional amount of services due to increase of total wages in the local mining industry. A formula for budget increment because of the new production including the indirect effects is derived. Particular attention is paid to the problem of selecting the level of completeness of the stock extraction in the project. Economic and ecological consequences of the latter are considered in detail. The problem rests to reveal significance of impact of expected mineral industry activities on different sectors of the local economy, for which probably the statistical method by Toda and Yamamoto may be applied.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"18 1","pages":"144-153"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41352928","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}
Pub Date : 2018-10-31DOI: 10.25728/ASSA.2018.18.3.563
Silki Baghla, S. Bansal
Optimum network selection is one of the major issues for vertical handover in heterogeneous networks so as to provide requisite quality of service (QoS) to the user. In this context, multiple attribute decision-making algorithms provide a promising solution. Normalization process used can play a vital role in selecting the most appropriate network during the handover process.In this work, vector normalized preferred performance based (V-VPP) normalization technique is proposed and applied to MADM based VIKOR algorithm. Performance of the proposed technique is analyzed extensively by varying QoS parameters and weighting methods for different traffic classes in a heterogeneous network The results obtained are compared with the available MAX, MAX-MIN and Vector normalization.The proposed method is also compared with the popular MADM algorithms. Performance of proposed method is quite optimistic in terms of lesser number of handovers, ranking abnormality, selection of appropriate network though with slight increase in handover latency in comparison to the available normalization methods.
{"title":"VIKOR MADM Based Optimization Method For Vertical Handover In Heterogeneous Networks","authors":"Silki Baghla, S. Bansal","doi":"10.25728/ASSA.2018.18.3.563","DOIUrl":"https://doi.org/10.25728/ASSA.2018.18.3.563","url":null,"abstract":"Optimum network selection is one of the major issues for vertical handover in heterogeneous networks so as to provide requisite quality of service (QoS) to the user. In this context, multiple attribute decision-making algorithms provide a promising solution. Normalization process used can play a vital role in selecting the most appropriate network during the handover process.In this work, vector normalized preferred performance based (V-VPP) normalization technique is proposed and applied to MADM based VIKOR algorithm. Performance of the proposed technique is analyzed extensively by varying QoS parameters and weighting methods for different traffic classes in a heterogeneous network The results obtained are compared with the available MAX, MAX-MIN and Vector normalization.The proposed method is also compared with the popular MADM algorithms. Performance of proposed method is quite optimistic in terms of lesser number of handovers, ranking abnormality, selection of appropriate network though with slight increase in handover latency in comparison to the available normalization methods.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"18 1","pages":"90-110"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44025927","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}
Pub Date : 2018-10-31DOI: 10.25728/ASSA.2018.18.3.528
Abdullah Salem Baquhaizel, Safia Kholkhal, B. Alshaqaqi, M. Keche
In this paper, we present the conception and implementation of a system for person re-identification in a camera network, based on the appearance. This system aims to build an online database that contains the history of every person that enters the field of view of the cameras. This system is able to associate an identifier to each detected person, which keeps this identifier in the same camera and in other cameras even if he or she disappears and then appears again. Our system comprises a moving objects detection step that is implemented using the Mixture of Gaussians method and a proposed difference method, to improve the detection results. It also comprises a tracking step that is implemented using the sum of absolute differences algorithm. The re-identification stage is realized using three steps: the tracking for the temporal association, the histogram and the new smart exploitation of the interpolation technique for comparison. The global system was tested on a real data set collected by three cameras. The experimental results show that our approach gives very satisfactory results.
{"title":"Person Re-Identification Based on SAD and Histogram in a Non-Overlapping Camera Network","authors":"Abdullah Salem Baquhaizel, Safia Kholkhal, B. Alshaqaqi, M. Keche","doi":"10.25728/ASSA.2018.18.3.528","DOIUrl":"https://doi.org/10.25728/ASSA.2018.18.3.528","url":null,"abstract":"In this paper, we present the conception and implementation of a system for person re-identification in a camera network, based on the appearance. This system aims to build an online database that contains the history of every person that enters the field of view of the cameras. \u0000This system is able to associate an identifier to each detected person, which keeps this identifier in the same camera and in other cameras even if he or she disappears and then appears again. \u0000Our system comprises a moving objects detection step that is implemented using the Mixture of Gaussians method and a proposed difference method, to improve the detection results. It also comprises a tracking step that is implemented using the sum of absolute differences algorithm. The re-identification stage is realized using three steps: the tracking for the temporal association, the histogram and the new smart exploitation of the interpolation technique for comparison. \u0000The global system was tested on a real data set collected by three cameras. The experimental results show that our approach gives very satisfactory results.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"18 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41369036","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}
Pub Date : 2018-10-31DOI: 10.25728/ASSA.2018.18.3.581
Sonvir Singh
Importance of Non-Conventional Source of Energy (NCSE) is upsurging day by day to tackle the increased load, energy consumption, and environmental pollution related problems. Out of Non-Conventional Source of Energy (NCSE), Solar Energy, mainly Solar Photovoltaic (SPV) energy, is one of the most promising RES because of pollution-free, no rotating part, an abundance of solar energy, low-cost energy, and high efficiency. The main thing is how to extract maximum power from the Solar PV panel. Power extract from the PV system depends upon the solar radiation (isolation), ambient temperature and terminal voltage. Regulation of terminal voltage is required to extract the maximum power at the operating point. The technique of extracting maximum power by changing its terminal voltage by the various method is called as MPPT.This paper takes up the problem of finding the MPPT power point under changing environmental conditions, developing efficient MMPT and changing the operating point of the system very fast according to the environmental condition. In this paper, a new MPPT technique is developed for tracking maximum power point which is efficient to existing techniques with the help of Golden Section Search Optimization Method. This paper is intended to serve efficient method and reliable to find maximum power point at which maximum power is extracted from PV system.
{"title":"Maximum Power Point Tracking Technique For PV System By Using Golden Section Search Method","authors":"Sonvir Singh","doi":"10.25728/ASSA.2018.18.3.581","DOIUrl":"https://doi.org/10.25728/ASSA.2018.18.3.581","url":null,"abstract":"Importance of Non-Conventional Source of Energy (NCSE) is upsurging day by day to tackle the increased load, energy consumption, and environmental pollution related problems. Out of Non-Conventional Source of Energy (NCSE), Solar Energy, mainly Solar Photovoltaic (SPV) energy, is one of the most promising RES because of pollution-free, no rotating part, an abundance of solar energy, low-cost energy, and high efficiency. The main thing is how to extract maximum power from the Solar PV panel. Power extract from the PV system depends upon the solar radiation (isolation), ambient temperature and terminal voltage. Regulation of terminal voltage is required to extract the maximum power at the operating point. The technique of extracting maximum power by changing its terminal voltage by the various method is called as MPPT.This paper takes up the problem of finding the MPPT power point under changing environmental conditions, developing efficient MMPT and changing the operating point of the system very fast according to the environmental condition. In this paper, a new MPPT technique is developed for tracking maximum power point which is efficient to existing techniques with the help of Golden Section Search Optimization Method. This paper is intended to serve efficient method and reliable to find maximum power point at which maximum power is extracted from PV system.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"18 1","pages":"111-122"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44767387","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}
Pub Date : 2018-10-31DOI: 10.25728/ASSA.2018.18.3.654
V. Abrosimov
An approach to situational awareness formation as a necessary condition for the operation of large network-centric systems is considered. The basis is information acquisition from all system elements according to the “initial data-parameter-event-situation-solution” scheme. The situational awareness model is constructed as a neural network with an ensemble organization and associative-projective structure. The model is learned using precedent examples.
{"title":"Situational Awareness Formation For Large Network-Systems","authors":"V. Abrosimov","doi":"10.25728/ASSA.2018.18.3.654","DOIUrl":"https://doi.org/10.25728/ASSA.2018.18.3.654","url":null,"abstract":"An approach to situational awareness formation as a necessary condition for the operation of large network-centric systems is considered. The basis is information acquisition from all system elements according to the “initial data-parameter-event-situation-solution” scheme. The situational awareness model is constructed as a neural network with an ensemble organization and associative-projective structure. The model is learned using precedent examples.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"18 1","pages":"29-38"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44200064","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}
Pub Date : 2018-10-31DOI: 10.25728/ASSA.2018.18.3.653
D. Razumov, V. Aleshin
Design and development of large-scale automated systems (AS) is always associated with overcoming a large number of uncertainties, which structuring often through the using of practice standards and modeling at the Systems & Software Engineering. Methods of analysis of large systems (LS) involve their decomposition in the context of structural and/or functional paradigms, which allow us to consider the obtained components as objects for modelling: functional modelling, simulation etc. Design the automated control system (ACS) of region (SmartCity project) need to optimize the decisions. In this paper we propose the new methods of determining the parameters of project in terms of lack statistical information based on the simulation model.
{"title":"A Simulation Modelling as a Tool for Design and Development Large-Scale Automated Systems Smart City Application in Terms of Lack Statistical Information","authors":"D. Razumov, V. Aleshin","doi":"10.25728/ASSA.2018.18.3.653","DOIUrl":"https://doi.org/10.25728/ASSA.2018.18.3.653","url":null,"abstract":"Design and development of large-scale automated systems (AS) is always associated with overcoming a large number of uncertainties, which structuring often through the using of practice standards and modeling at the Systems & Software Engineering. Methods of analysis of large systems (LS) involve their decomposition in the context of structural and/or functional paradigms, which allow us to consider the obtained components as objects for modelling: functional modelling, simulation etc. Design the automated control system (ACS) of region (SmartCity project) need to optimize the decisions. In this paper we propose the new methods of determining the parameters of project in terms of lack statistical information based on the simulation model.","PeriodicalId":39095,"journal":{"name":"Advances in Systems Science and Applications","volume":"18 1","pages":"79-89"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47647227","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}
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