Advances in Systems Science and Applications <p><strong><em>Advances in Systems Science and Applications </em></strong><strong>(<em>ASSA</em>) </strong>is an international peer-reviewed open-source online academic journal. Its&nbsp;scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome.</p> <p>ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public&nbsp;governance, finance, and many others.</p> International Institute for General Systems Studies, Pennsylvania, USA en-US Advances in Systems Science and Applications 1078-6236 Person Re-Identification Based on SAD and Histogram in a Non-Overlapping Camera Network <pre>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.</pre> <pre>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.</pre> <pre>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.</pre> <pre>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.</pre> <pre>&nbsp;</pre> Abdullah Salem Baquhaizel Safia Kholkhal Belal Alshaqaqi Mokhtar Keche ##submission.copyrightStatement## 2018-10-31 2018-10-31 18 3 1 16 10.25728/assa.2018.18.3.528 Visual Odometry Approaches to Autonomous Navigation for Multicopter Model in Virtual Indoor Environment <p>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.</p> Alexandr Abdulov Alexandr Abramenkov Andrey Shevlyakov ##submission.copyrightStatement## 2018-10-31 2018-10-31 18 3 17 28 10.25728/assa.2018.18.3.583 Situational Awareness Formation For Large Network-Systems <p>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.&nbsp; The model is learned using precedent examples.</p> Viacheslav Abrosimov ##submission.copyrightStatement## 2018-10-31 2018-10-31 18 3 29 38 10.25728/assa.2018.18.3.654 A Simulation Modelling as a Tool for Design and Development Large-Scale Automated Systems Smart City Application in Terms of Lack Statistical Information <p>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 &amp; 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.</p> Dmitri Razumov Vladimir Aleshin ##submission.copyrightStatement## 2018-10-31 2018-10-31 18 3 79 89 10.25728/assa.2018.18.3.653 VIKOR MADM Based Optimization Method For Vertical Handover In Heterogeneous Networks <p><em>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&nbsp; 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.</em></p> Silki Baghla Savina Bansal ##submission.copyrightStatement## 2018-10-31 2018-10-31 18 3 90 110 10.25728/assa.2018.18.3.563 Maximum Power Point Tracking Technique For PV System By Using Golden Section Search Method <p>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&nbsp; 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.</p> Sonvir Singh ##submission.copyrightStatement## 2018-10-31 2018-10-31 18 3 111 122 10.25728/assa.2018.18.3.581 An Efficient Approach To Civil Structures Health Monitoring Using Fog Computing As Clusters Through 5G Network Environment <p><strong>Structural Health Monitoring (SHM) is a process to trace real time information about the physical health of a civil structures at any given point of time. SHM systems can also approximate the life expectancy of the structure. This constant monitoring can help during emergency situations such as earthquakes. The increasing need for SHM is the result of deterioration of several set of structures over time. A proper maintenance plan is beneficial to not just keep the structure in a favorable state throughout its lifecycle, but to additionally minimize the relative costs required by the structures through resource optimization. Various forms of SHM have been implemented over the past three decades like traditional wired systems. Recent development has resulted in Wireless Sensor Networks (WSN) being designed for the same purpose. Few publications have also included IoT framework along with WSNs. The introduction of WSN has led to easy deployment of SHM compared to the traditional wired network. But WSN's have led to significant challenges. The main challenge that has been focused in this paper is the constraint of power consumption. The power consumption is most critical factor for the sensors deployed in high-rise structures, high density traffic bridges etc., since it is difficult to reach the places to replace the battery drained sensors and also involved high installation cost. This paper proposes a concept of a framework for SHM with FOG computing which hasn't been explored in the field of SHM yet. In this model, the WSN is comprised of a piconet which transmits data through Bluetooth Low energy (LE) and the FOG transmits data to cloud by exploiting 5G network features in order to reduce the power consumption furthermore. Thus, saving power at every level possible in the SHM architecture. It also introduced a head sensor algorithm within clusters which maximizes the lifetime of the WSN. A mathematical model has been developed in support to evaluate how the power of the system can be minimized for the FOG node and cloud servers in accordance with the 5G network environment Experiments have been carried out to validate proposed framework and demonstrate the results. </strong></p> Divya Sinha, Ms Kavish Doshi M Rajasekhara Babu ##submission.copyrightStatement## 2018-10-31 2018-10-31 18 3 123 143 10.25728/assa.2018.18.3.543 On Classification and Assessment of Regional Economic and Social Effects of the Implementation of Projects for Mining of Solid Minerals Deposits <p>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.</p> Andrey Mikhailovich Valuev Maria Alexeevna Lozinskaya ##submission.copyrightStatement## 2018-10-31 2018-10-31 18 3 144 153 10.25728/assa.2018.18.3.634 Preliminary Design With the Epistemic Uncertainty of Parameters <p>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&nbsp; 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.</p> Georgy Sergeevich Veresnikov Ludmila Aleksandrovna Pankova Valeriya Aleksandrovna Pronina ##submission.copyrightStatement## 2018-10-31 2018-10-31 18 3 154 164 10.25728/assa.2018.18.3.568 Plasma Control in Tokamaks. Part 2. <p>Various systems of magnetic control of plasma position, current, and shape are considered in vertically elongated tokamaks including spherical tokamaks being in operation. The systems of Resistive Wall Modes suppression are described. Tokamaks constructions and cross-sections, structural schemes of plasma control systems are given; heed is paid to operating principles of plasma control systems; experimental results of plasma control in tokamaks are given. Various engineering realizations of magnetic plasma control systems in tokamaks are presented.</p> Yuri Vladimirovich Mitrishkin Nikolay Mikhaylovich Kartsev Evgeniya Alexandrovna Pavlova Artem Andreeevich Prokhorov Pavel Sergeevich Korenev Mikhail Ivanovich Patrov ##submission.copyrightStatement## 2018-10-31 2018-10-31 18 3 39 78 10.25728/assa.2018.18.3.645