Advances in Systems Science and Applications
http://ijassa.ipu.ru/ojs/ijassa
<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 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 governance, finance, and many others.</p>en-USmgoubko@ipu.ru (Mikhail Goubko, Associate Editor-in-Chief)ijassa@yandex.ru (Andrey Shevlyakov, Secretary)Fri, 25 May 2018 12:58:12 +0000OJS 3.0.2.0http://blogs.law.harvard.edu/tech/rss60 Analytical study of the antitumor viral vaccine introduction regimens based on mathematical modeling
http://ijassa.ipu.ru/ojs/ijassa/article/view/493
<p><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: SimSun; mso-ansi-language: RU; mso-fareast-language: RU; mso-bidi-language: AR-SA;">The paper presents the algorithm for calculating the maximal effective antitumor viral vaccine introduction regimens, using a computing experiment method (in silico) based on the software implementation of two mathematical models in the MatLab-Simulink system. The first model of antitumor vaccine therapy describes a two-stage mechanism of the tumor cells’ death as a result of the immune response. The effectiveness of immune response is measured in the number of antibodies formed by the immune system against virus-infected tumor cells. The second model of antitumor therapy with discontinuous trajectories of tumor growth is designed to evaluate the rate of the tumor cells’ death after the introduction of the viral vaccine. The effectiveness of the therapy is measured in the number of dying tumor cells after the introduction of a viral vaccine.</span></p>Nina Babushkina, Ekaterina Kuzina
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http://ijassa.ipu.ru/ojs/ijassa/article/view/493Fri, 25 May 2018 00:00:00 +0000 A two-stage algorithm for generating a set of Pareto-optimal trajectories of an object
http://ijassa.ipu.ru/ojs/ijassa/article/view/571
<p>A two-stage algorithm is proposed for generating trajectories and parameters of the object's motion based on searching for a set of Pareto-optimal paths from the initial vertex to the terminal vertex. The features of graph construction in the first and second stages of the algorithm are described. At the first stage, the set of vertices of the graph uniformly cover the area of the object's motion, and the edges connect only the nearest neighboring vertices. At the second stage, the set of vertices of the graph includes only those vertices through which the paths constructed in the first stage pass. For this set of vertices, a complete graph is constructed: the edges connect each vertex to all the others. An algorithm for constructing a set of Pareto-optimal characteristics of graph paths is described. The two-stage approach allows to significantly reduce the calculation time in comparison with the application of the described algorithm for a complete graph in one stage. Two variants of the algorithm are considered. The first algorithm requires a longer calculation time, but allows to obtain more trajectories that are diverse. In particular, it is possible to obtain trajectories of different classes, for example, avoiding obstacles from different sides, etc. For the case when time for calculations is not enough, an abridged algorithm is proposed. The results of computational experiments are presented.</p>Elena Lvovna Kulida
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http://ijassa.ipu.ru/ojs/ijassa/article/view/571Mon, 14 May 2018 00:00:00 +0000 Neuroprotection and Timely Troubleshooting of Electric Drive Equipment
http://ijassa.ipu.ru/ojs/ijassa/article/view/573
<p><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: SimSun; mso-ansi-language: RU; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">The article discusses the neurodiagnostics drives with the prediction of the future fault is a relevant task to avoid failure of electric motors and actuators. Such systems neurodiagnostics increase the reliability and safety of operation, anticipating contingencies. An important aspect in the management of complex dynamic objects designed to operate in harsh operating conditions, such as aggressive, explosive and dusty environments, extreme temperatures, increased vibration, is the use of real sensors. The use of state observers in such facilities will improve the operational reliability of the electric drive, avoid shock currents, reduce weight and size characteristics, etc. In recent years, there are high requirements for modern control systems of electric drives, namely: accurate speed control, maintaining high torque at low control speeds, limiting the starting and shock currents, high dynamic characteristics, high signal processing accuracy, improved coordinate accuracy.</span></p>Viktor Buyankin
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http://ijassa.ipu.ru/ojs/ijassa/article/view/573Fri, 25 May 2018 00:00:00 +0000 Severity of Breast Masses Prediction in Mammograms Based on Optimized Naive Bayes Diagnostic System
http://ijassa.ipu.ru/ojs/ijassa/article/view/266
<p>Mammography is the most effective tool for breast masses screening. It is a special CT scan technique used only to detect breast tumors early and accurately. Detecting tumors in its early stage has improved the survival rate for breast cancer patients. Computer aided diagnostic systems help the physicians to detect breast cells abnormalities earlier than other traditional procedures. In this paper, an improved Naive Bayes classifier based on Chicken swarm optimization algorithm (CSO-NBC) is analyzed on mammographic mass dataset. The main aim of this research is to increase physician's ability to determine the severity of a mammographic mass lesion from the BI-RADS features and the patient's age using the bio inspired chicken swarm optimization (CSO) algorithm for naive bayes (NB) classifier. The dataset is preprocessed and divided to train the CSO-NBC system and test it by 5-folds cross validation technique. The performance of our proposed classification system is compared with papers' results of other researchers to show the eﬃciency of our system in predicting severity of breast tumors with the highest accuracy. </p>Abeer S. Desuky
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http://ijassa.ipu.ru/ojs/ijassa/article/view/266Thu, 24 May 2018 00:00:00 +0000 The Contract Theory: A 3-Dimensional Reflection on Commodities & Capital Conversions
http://ijassa.ipu.ru/ojs/ijassa/article/view/246
<p>Contract Theory is a relatively young field of the economic science. The uniqueness of this branch of investigation is established on the basis that it is crucial to study the origin of microeconomic and macroeconomic indicators. In particular, because of this theory of contracts, it becomes possible to properly evaluate the performance of the real balanced growth. The study of the theoretical foundations of contracting paves the way for further development of particular tools for analyzing economic policies.</p>Sailau Baizakov, Azamat R. Oinarov, Dana A. Eshimova, Jeffrey Yi-Lin Forrest
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http://ijassa.ipu.ru/ojs/ijassa/article/view/246Thu, 24 May 2018 00:00:00 +0000 Management of the development of the region: the attractiveness of the region and human potential
http://ijassa.ipu.ru/ojs/ijassa/article/view/575
<p align="justify"><span style="font-size: small;"><span style="color: #222222;"><span lang="en">Using a comparative analysis of the data of the "passive" experiment, it was shown that an increase in the attractiveness of the region can be achieved by long-term, purposeful increase in human potential and by attracting corresponding additional investments</span></span></span></p>Vadim Kleparskiy, Victor Sheinis
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http://ijassa.ipu.ru/ojs/ijassa/article/view/575Thu, 24 May 2018 00:00:00 +0000 Review of recent trends in Coarse Grain Reconfigurable Architectures for signal processing applications
http://ijassa.ipu.ru/ojs/ijassa/article/view/508
<p> Coarse grained reconfigurable architecture got the attention of researchers working in designing computing architectures for processing massive streaming data associated with the multimedia applications in portable entertainment and communication electronics. The algorithms for processing audio, video, and graphics are very complex in nature. These data intensive computation algorithms belong to the domain of signal processing. As the complexity of algorithms increases, a matching improvement in speed performance of the hardware becomes essential to maintain the quality of service. The observed growth of algorithmic complexity is much higher than the growth rate of integration density governed by Moore’s law. Also, the constraints on memory bandwidth in the traditional von Neumann architectures along with the slow growth in the battery capacity demands a paradigm shift in computer architecture design. Reconfigurable hardware architecture is proposed as a possible alternative in this regard. The reconfigurable architectures are designed to exploit the regular and repetitive structure of signal processing algorithms and the coarse grained processing elements are designed to match with the word level granularity of these complex algorithms. The research shows that the coarse grain reconfigurable architectures with heterogeneous processing elements are a better option for system design in DSP applications which exploit granularity matching between the algorithms and the processing hardware, and also the inherent parallelism of DSP algorithms for the realization of low power DSP systems.</p>Moorthi Sridharan
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http://ijassa.ipu.ru/ojs/ijassa/article/view/508Mon, 14 May 2018 00:00:00 +0000 Application of algorithms of objectifying expert clustering of Multiparameter objects in the analysis of big arrays of information
http://ijassa.ipu.ru/ojs/ijassa/article/view/570
<p class="ASSAAbstract"><span lang="EN-US">The use of expert assessments is relevant for the development of new complex scientific and technical products, in medical diagnostics, in the study of unusual phenomena. To successfully apply these estimates, it is proposed to use a procedure that allows improving the quality of expert clustering of objects based on the analysis of measured parameters - a procedure that objectifies expert estimates. This interactive procedure is based on elementary assumptions about the properties of objects. The paper describes the features of the implementation of the algorithm of this interactive procedure, proposed by the author. This procedure is essential during the creation of the technology of work to with complex objects that are difficult to fully or even partially formalize. A method for representing the proposed procedure for objectifying expert clustering in terms of the theory of fuzzy sets is described. The developed objectifying procedure was used to create algorithms for medical diagnostics based on pulsed signals of the radial artery. Subjective clustering of the shape of pulse signals was used.</span></p>Vladimir Vsevolodovich Guchuk
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http://ijassa.ipu.ru/ojs/ijassa/article/view/570Fri, 25 May 2018 00:00:00 +0000 Models of adaptation in dynamical contracts under stochastic uncertainty
http://ijassa.ipu.ru/ojs/ijassa/article/view/540
<p><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: SimSun; mso-ansi-language: RU; mso-fareast-language: RU; mso-bidi-language: AR-SA;">In this paper, we establish new sufficient conditions for the optimality of lump-sum and compensatory incentive schemes (contracts) under stochastic uncertainty. In addition, we suggest and analyze dynamical models of principal’s and agents’ adaptation to changes in statistical characteristics of an external environment. </span></p>Mikhail V. Belov, Dmitry A. Novikov
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http://ijassa.ipu.ru/ojs/ijassa/article/view/540Fri, 25 May 2018 00:00:00 +0000 Algorithms for prosodic discourse feature interpretation in case of its processing using low-speed codecs
http://ijassa.ipu.ru/ojs/ijassa/article/view/524
<p class="ASSAAbstract">In this article we propose two algorithms for discourse prosodic feature interpretation. The first algorithm based on wide phonetic categories and second algorithm based on audio signal melodic cross-correlation functions and short-timed energy series – as well as methodical recommendations for their use are proposed as a part of the problem of audio signal language identification based on a prosodic approach. An experimental evaluation of both algorithms is proposed. Neural networks are used as a decision rule. Wide phonetic categories were pause, pitch, noise. We have expanded wide phonetic categories to pause, pitch, noise, five levels of pitch, sites of decreasing energy, main maximum, adverse maximum. The total number of categories was 14. These algorithms can be applied for language identification or speaker identification. At the same time there is no requirement to restore the speech signal after processing it by low-speed codec. Certainly, frames of the speech codec must contain such parameters as pitch, tone-noise parameter, energy. The base of speech signals consists of 10 languages 10 speakers per language. Total time of the speech per speaker is 100 minutes. This time takes into account statistical regularities of languages. Tests for evaluation of the algorithms were carried out with a multilayer perceptron.</p>Maxim Bessonov, Natalia A. Bessonova, Mais P. Farkhadov
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http://ijassa.ipu.ru/ojs/ijassa/article/view/524Mon, 14 May 2018 00:00:00 +0000