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> en-US (Natalya Pavlova) (Alla Shinkaryuk, Technical Editor) Tue, 31 Mar 2020 23:14:40 +0000 OJS 60 Concept of a Universal Smart Machine with Protection against Spark Discharge <p>The concept of a universal device that can provide diagnostics and monitoring of individual and collective power supply systems, the construction of life support systems, the state of household appliances, the Internet of Things devices and housing and communal services devices is considered. This paper proposes new design solutions able to improve the existing technologies for assessment of the quality of the energy flow by two orders of magnitude in terms of overall characteristics relative to the existing analogues. The developed Smart microcontroller is designed to operate as an intelligent unit, to analyze the parameters of the AC voltage network and control the electromechanical elements of the Smart Circuit Breaker, as well as to send data through a standard interface. The implementation of protection against spark discharge is proposed. The proposed solution is based on the application of cloud and boundary computing technology. The possibilities for improvement of the efficiency of design technologies and construction of energy-efficient buildings, provision of the industry and households with a new type of information management services (monitoring energy infrastructure, etc.) are presented.</p> Andrey I. Vlasov, Sergei S. Filin, Alexey I. Krivoshein ##submission.copyrightStatement## Tue, 31 Mar 2020 19:50:57 +0000 Enhancing Hadoop Performance in Homogenous and Heterogeneous Big Data Environments by Dynamic Slot Configuration <p>Hadoop is one of the most famous platform solutions for processing large volume and scale of data in parallel processing in Cloud computing. A Hadoop system can be characterized based on three main factors: cluster, workload and user. Each of these factors can be described as either heterogeneous or homogenous, which reflects the heterogeneity degree of the Hadoop systemThe objective of this proposed research work is to investigate the degree of influence of heterogeneity for each of these factors on the performance of Hadoop based on different schedulers. Three schedulers are considered with different levels of Hadoop heterogeneity and are tested and analyzed: the first algorithm considered is the FIFO (First in First out), the second is the Fair sharing, and the final is the COSHH (Classification and Optimization based Scheduler for Heterogeneous Hadoop). Performance issues are related to Hadoop schedulers and comparative performance analysis between different cases of jobs submission. These jobs are processed in different homogenous or heterogeneous data environments and under fixed or reconfigurable slot between map and reduce tasks for Hadoop MapReduce java programming clustering model. The results showed that when assigning tunable knob between map and reduce tasks under certain schedulers like FIFO algorithm, the performance enhanced significantly especially in cases of heterogeneity environment where the workload decreased significantly and the utilization of computational resources increase was obvious.</p> Ekhlas Kadhum Hamza ##submission.copyrightStatement## Tue, 31 Mar 2020 20:20:48 +0000 Average Predictive Control for Nonlinear Discrete Dynamical Systems <p>We explore the problem of stabilization of unstable periodic orbits in discrete nonlinear dynamical systems. This work proposes the generalization of predictive control method for resolving the stabilization problem. Our method embodies the development of control method proposed by B.T. Polyak. The control we propose uses a linear (convex) combination of iterated functions. With the proposed method auxiliary, the problem of robust cycle stabilization for various cases of its multipliers localization is solved. An algorithm for finding a given length cycle when its multipliers are known is described as a particular case of our method application. Also, we present numerical simulation results for some well-known mappings and the possibility of further generalization of this method.</p> Dmitriy Dmitrishin, Ionut Emil Iacob, Alex Stokolos ##submission.copyrightStatement## Tue, 31 Mar 2020 22:59:20 +0000 Leveraging Category Theory in Model Based Enterprise <p>A mathematical framework based on category theory is proposed to formally describe and explore procedures of modeling engineering products and processes that comprise operation of a model-oriented enterprise. The framework is intended to provide interoperability across a variety of engineering modeling languages and tools, supplying them with a common abstract foundation capable to represent, generate, and verify diverse design and production knowledge. The framework is leveraged via algebraic representation of product configurations as diagrams in categories with models as objects and descriptions of actions involved into products assembly as morphisms. Relevance of the framework is justified by appealing to systems engineering standards such as IEC 81346. Category theoretical methods for solving direct assembly problems that consist in constructing a product model from a given configuration are presented. Specifically, solutions are obtained via the universal construction called a colimit of a diagram. Much attention is then paid to stating and solving inverse assembly problems that consist in recovery and subsequent optimization of the configuration from the product model and assembly actions. Inverse problem solving is in demand for generative design, viz. an emerging fully automatic product development and manufacturing technology. Example solutions to direct and inverse problems are described in categories that represent two major areas of model-based enterprise operation: solid body geometric modeling of mechanical products and discrete-event simulation of production processes.</p> Serge Protasovitch Kovalyov ##submission.copyrightStatement## Tue, 31 Mar 2020 00:00:00 +0000 A Novel Enriched LASSO Based Compression Technique for Energy Efficient Wireless Sensor Networks <p>The capability of transmission in Wireless sensor networks (WSN) is circumscribed due to the precincts in energy utilization, controlled resources of transmission devices and network components. Information compression is taken into account as the best option, because the major part of energy consumed is for transmission of information. Habitually Lossy compression is adopted, since WSN abides some error in the reconstructed signals subjected to some acceptable tolerance. Lasso based models have been ascertained their &nbsp;&nbsp;capability to effectually compress both multivariate and univariate data. Traditional Lasso considers ℓ1-norm regularization for learning in multi-dimensional data sets and assumes sparsity as model parameters. Lasso &nbsp; prominence on sparsity and deal with the correlation between the data points.&nbsp; However, model sparsity may be constricting and not essentially the foremost applicable assumption in several problem domains. To eliminate this limitation, an enriched lasso (MLasso) is proposed for compression bearing in mind both sparsity and correlation. In specific the strategy can select data that are having strong features to reconstruct the data and are less correlated between each other. Furthermore, an efficient Alternating Direction Method of Multipliers (ADMM) is adopted to resolve the ensuing sparse non-convex optimization problem. Extensive experiments on diverse datasets provides the proof that MLasso outperforms other similar algorithms for signal compression. Thus the proposed method ensures less energy consumption, decreases power loss and improves the operational life and reliability of network components.</p> Anitha K, Jaison B, Nalini M, Shiny Irene D ##submission.copyrightStatement## Tue, 31 Mar 2020 19:31:13 +0000 Network Redundant DCS Configuration Management <p>An approach to the configuration management of a distributed control system with redundant components is proposed. The approach is based on a formalized vector-matrix representation of sets of system components, possible system configurations and functional relationships between them.</p> Nikolay Zakharov, Vladimir Klepikov, Dmitry Podkhvatilin ##submission.copyrightStatement## Tue, 31 Mar 2020 00:00:00 +0000 On Properties of Coincidence Points of Mappings between $(q_1,q_2)$-Quasimetric Spaces <p>In this paper, the properties of coincidence points of mappings&nbsp;acting between $(q_1,q_2)$-quasimetric spaces are studied.&nbsp;For a pair of mappings, we obtain estimates for the distance from a&nbsp;point to the coincidence points set and intersection of the respective graphs of the mappings. In addition,&nbsp;the stability of coincidence points is studied. A generalization of&nbsp;Lim's lemma is obtained.</p> Richik Sengupta, Zukhra Tagirovna Zhukovskaya, Sergey Evgenyevich Zhukovskiy ##submission.copyrightStatement## Tue, 31 Mar 2020 23:04:22 +0000 Comparison of Some Molecular Structures by Minimizing the Comparison Function <p>The geometric difference in the relative arrangement of atoms in molecules with the same chemical formula significantly affects the properties of the crystal. For quantitative comparison of the spatial geometric structure of two molecules, we used the method of optimal superposition of molecules through the minimization of a certain comparison function by rotating the molecules after superposing their centers of mass. The search for the minimum of the comparison function over Euler rotation angles is performed by the Rosenbrock method. The assumed criterion for comparing molecules allows us to quantify the proximity in the spatial structure of molecules. The implementation of the method is shown by comparing the structure of eight molecules in four crystalline substances.</p> Natalia Chernikova, Eugeniy Laneev ##submission.copyrightStatement## Tue, 31 Mar 2020 23:13:26 +0000 A Data Management Model for Proactive Risk Management in Healthcare <p>The Delphi investigation made possible to create and present a model of data flows and expertise for decision - making in healthcare. The model structures and visualizes data flows including population health risks assessment and healthcare interventions value. Most elements of this model are used in practice and are regulated by international or local documents. The investigation also indicates the need for the creation and utilization of additional level of expertise including integrated analysis and modeling of the results of management decisions. Structuring of data management in accordance with this model provides an opportunity to implement proactive risk management in healthcare there to increase healthcare effectiveness significantly.</p> Dmitry Meshkov, Lyudmila Bezmelnitsyna, Sergey Cherkasov ##submission.copyrightStatement## Tue, 31 Mar 2020 00:00:00 +0000 Local Normal Forms of Autonomous Quasi-Linear Constrained Differential Systems <p>The paper presents a study of impasse (singular) points of autonomous quasi-linear constrained differential systems, also called differential-algebraic equations. The interest in such systems is motivated by their applications in various problems of pure and applied mathematics, including control theory, biology, and electric engineering. Local normal forms of such systems in a neighborhood of their impasse points are established.</p> Alexander Kotyukov, Stanislav Nikanorov, Natalya Pavlova ##submission.copyrightStatement## Tue, 31 Mar 2020 20:50:17 +0000