Advances in Systems Science and Applications 2020-01-09T11:52:10+00:00 Mikhail Goubko, Associate Editor-in-Chief Open Journal Systems <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> Advanced Solow Model as a Tool for Coordination of Interests of Spatial Economic Systems’ Development 2020-01-09T11:52:09+00:00 G. A. Ougolnitsky T. Y. Anopchenko asdsad@sdfsdf.sdf O. I. Gorbaneva sdfsdfsd@sdfsdf.sdf E. I. Lazareva uhuhl@yhfgkhgf.htf A. D. Murzin asdas@sdfsdf.sdf <p>The article presents a dynamic socio-ecological-economic model of the synergistic development of individual entities within the southern Russian macro-region, which allows to coordinate the general and private interests of each region. The maximization of specific consumption is proposed as a target criterion, regarding private interests – for the region, regarding general interests – for the macro-region. The model provides for the possibility of using the available resources of each region, both for solving the problems of its own development, and for the general development goals of other regions as part of the macroregion. The model is investigated using simulation modeling based on materials from the Southern Federal District. There are several debatable conclusions made after the research. Calculations, in particular, show that it is not profitable for any region to develop its own production sector in the current conditions, the optimal strategy for each of them is only to increase consumption in the hope of production activity in neighboring regions. In view of the selection of this rational strategy by all regions at the same time, general degradation of the production sphere and stagnation of the regional economy are forecasted. At the same time, it was revealed that a further reduction in production becomes unprofitable for almost all lagging regions (republics of the Southern Federal District), while inaction remain profitable for leading regions (regions of the Southern Federal District).</p> 2019-12-14T00:00:00+00:00 ##submission.copyrightStatement## Distributed Data Gathering System to Analyze Natural Gas Composition 2020-01-09T11:52:09+00:00 Ivan Andreeich Brokarev Sergei Vladimirovich Vaskovskii <p>In this paper we proposed a system to analyze natural gas composition. We developed algorithms to solve a number of gas analysis tasks for distributed systems. We made recommendations to effectively apply neural network tools as the main models to analyze natural gas composition. Opportunities to further develope the proposed system are considered.</p> 2019-12-25T13:51:03+00:00 ##submission.copyrightStatement## Improving Semi-Supervised Clustering Algorithms with Active Query Selection 2020-01-09T11:52:09+00:00 Walid Atwa Mahmoud Emam <p>Semi-supervised clustering algorithms use a small amount of supervised data in the form of pairwise constraints to improve the clustering performance. However, most current algorithms are passive in the sense that the pairwise constraints are provided beforehand and selected randomly. This may lead to the use of constraints that are redundant, unnecessary, or even harmful to the clustering results. In this paper, we address the problem of constraint selection to improve the performance of semi-supervised clustering algorithms. Based on the concepts of Maximum Mean Discrepancy, we select a batch of most informative instances that minimize the difference in distribution between the labeled and unlabeled data. Then, querying these instances with the existing neighborhoods to determine which neighborhood they belong. The experimental results with state-of-the-art methods on different real-world dataset demonstrate the effectiveness and efficiency of the proposed method.</p> 2019-12-20T00:00:00+00:00 ##submission.copyrightStatement## Evaluating Comparative Total Factor Productivity in the Russian Industry 2020-01-09T11:52:09+00:00 Evgeniy Vitalyevich Kislitsyn Svetlana Vladimirovna Orekhova <p>Searching for domestic reserves of economic growth has lately become one of the central problems in Russia. The paper examines the role of small industrial enterprises in stimulating economic growth. In contrast to the stereotype that small business serves as a driving force for the economic development and encourages innovation, the authors hypothesizes that in Russia this statement is false. The conceptual and methodological framework of the study rests upon neo-classical models of economic growth. The authors investigate the existing approaches to the analysis of factors influencing economic growth of the state and choose the tools of total factor productivity analysis. Total factor productivity is calculated using the translog production function, which allows determining the effect of the technological level on value added of the object under study. The choice of the type’s function is due to the low elasticity between the factors of production, as well as the imperfect competition in the industrial markets under review. The information base of the research includes the data of small, medium-sized and large enterprises of 10 industrial macro-sectors of the Russian economy for 2013–2017. We use SPARK-Interfax database to assess production functions. The results of the analysis prove that small enterprises operating in the Russian industry demonstrate much lower values of average and weighted average total factor productivity than medium-sized and large enterprises. The general trend for such businesses is a decline in total factor productivity. Only single leading companies produce a gain in value added in small entrepreneurship. Thus, the economic situation in Russia rejects the hypothesis about a higher entrepreneurial potential of small businesses, business models and technological innovations emerging on its basis. Our further studies are assessing institutional traps and general context in the development of small business.</p> 2019-12-25T00:00:00+00:00 ##submission.copyrightStatement## Resource Allocation with a Probabilistic Amount of Resource 2020-01-09T11:52:09+00:00 Vladimir Burkov Irina Burkova Larisa Rossikhina asdasd@sadf.vcsd <p>The allocation problem of a limited resource under the probabilistic uncertainty over its amount is considered. The Principal has a certain amount of resources to be allocated by him/her among consumers (agents). Each agent submits the request for the resource to the Principal. The Principal allocates the resource in accordance with a specified resource allocation mechanism. In the theory of active systems, the priority-based resource allocation mechanisms were proposed and investigated. With these mechanisms, the resource is allocated proportionally to the values of the agent’s priority functions. Three types of the priority-based mechanisms were identified, namely, the mechanism of absolute priorities, the mechanism of straight priorities and the mechanism of reverse priorities. Previously, the priority-based mechanisms were considered under the assumption that the amount of available resource to be allocated by the Principal is known. However, in many real resource allocation problems arising in practice this amount is often unknown. In this paper, the priority-based mechanisms are studied for the case in which the agents know the Principal’s resource allocation function. The mechanisms of resource allocation based on the principle of reverse priorities are studied.</p> 2019-12-14T00:00:00+00:00 ##submission.copyrightStatement## A Planning and Scheduling Method for Large-Scale Innovation Projects 2020-01-09T11:52:09+00:00 Anatoliy Tsvirkun Vladimir Topka <p>We consider the problem of uniform allocation according to the minimax criterion of a non-renewable resource of an innovative project's activities. A lexicographic method is used for ordering these minimax criteria To solve the problem - one objective function - developed a greedy heuristic for finding the maximum path on an acyclic digraph with double weights on arcs. The greedy heuristic gives approximate solution of the problem mentioned. The obtained solution allows building a project resources plan and schedule with four types of temporary slacks with inaccurate initial data. The proposed approach allows performing an analysis of the project Risk of Performance parameter, for which has not developed the apparatus for its analysis. &nbsp;These include the risks that the project when complete fails to perform as intended or fails to meet the mission or business requirements that generated the justification for the project. Performance risks are estimated on the probability distribution function of a favorable/unfavorable outcome. Proposed lexicographic disintegration is a decomposition procedure and is suitable for planning and scheduling large-scale projects. Practical calculations for the convex problem in the initial statement may be performed with the help of ready-made software, and the obtained greedy solution of the problem-consequence has theoretical significance in graph theory.</p> 2019-12-25T13:40:54+00:00 ##submission.copyrightStatement## An Optimal Itinerary Generation in a Configuration Space of Large Intellectual Agent Groups with Linear Logic 2020-01-09T11:52:10+00:00 Dmitry Maximov <p>A group of intelligent agents which fulfill a set of tasks in parallel is represented by the tensor multiplication of corresponding processes in a linear logic game category.&nbsp; An optimal itinerary in the configuration space of the group states is defined as a play with maximal total reward in the category. The reward is represented as a degree of certainty (visibility) of an agent goal, and the system goals are chosen by the greatest value corresponding to these processes in the system goal lattice.</p> 2019-12-25T00:00:00+00:00 ##submission.copyrightStatement## Exchange Rate of the Ruble Modeling 2020-01-09T11:52:10+00:00 Anton Kuzmin <p>As underlying determinants of the author’s model are used capital flows, import and export operations, elasticities of cross-country trade, terms of foreign trade, indexes of real GDP, indexes of domestic and export prices, solutions of microagents. The model was verified on data from the crisis period in Russia 2013-2015. The simulation results are applied to the analysis of contemporary monetary policy of Russia.</p> 2019-12-25T13:41:14+00:00 ##submission.copyrightStatement##