Information Innovative Technologies: Materials of the International scientific – рractical conference
The materials of The International Scientific – Practical Conference is presented below. The Conference reflects the modern state of innovation in education, science, industry and social-economic sphere, from the standpoint of introducing new information technologies.
It is interesting for a wide range of researchers, teachers, graduate students and professionals in the field of innovation and information technologies.
Traveling wave tubes are actively used in various radio transmitting devices. However, the analysis of modern literature sources showed that there are no mathematical models that allow to take into account the influence of technical parameters of traveling wave tubes on the failure rate, and, as a consequence, on the time to failure and resource.
The paper the model is considered, allowing to receive realization of an operating time of an electronic component for the set model of its operation. The model was obtained within the limits of those limitations and assumptions that are adopted in regulatory documents on the reliability of electronic components.
The collection contains materials, reports and presentations at the II International scientific-practical conference "Innovative technologies in cinema and education", held 21-25 September 2015 in Moscow at the Russian State Institute of Cinematography named after SA Gerasimov. For cameramen, of Cinema, the film industry education teachers as well as students and other professionals.
The author gives a description of a comprehensive approach to assessing economic efficiency when analyzing projects linked with associated gas utilization. Environmental and innovative components of these projects are also considered.
Preface International conference “Data Analytics and Management in Data Intensive Domains” (DAMDID/RCDL’2015) of this year is held on October 13 – 16 in the town of Obninsk, Kaluga region of the Russian Federation. The conference is hosted by the Obninsk education Institute for Nuclear Power Engineering affiliated with the National Research University MEPhI. Obninsk is the first town of science created in USSR in which now many academic and research centers dealing with intensive data analysis in various fields (nuclear physics, modern medicine, oncology, radiology, geophysics, meteorology) are located. «Data Analytics and Management in Data Intensive Domains» conference (DAMDID) is planned as an interdisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains. Approaches to data analysis and management being developed in specific data intensive domains of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social sciences, as well as in various branches of informatics, industry, new technologies, finance and business are expected to contribute to the conference content. The program of the DAMDID/RCDL’2015 conference alongside with traditional data management topics reflects a rapid move into the direction of data science and data intensive analytics. Three conference keynotes form the pivot of the conference program. In the keynote of Peter Wittenburg (Max Planck Data and Compute Center) that opens the conference a survey of the current projects on development of data infrastructures enabling data intensive sciences is given. The second day of the conference is open by the keynote of David Pease (IBM Almaden Research Center). This talk considers objectives and experience of the recently organized IBM Research Lab specifically designed to facilitate complex analytic projects by tackling the challenges of data-intensive scientific discovery. Finally the program of the third day starts with the keynote by Michael Brodie (CSAIL Lab, MIT) in which the author gives analysis and characteristics of the data science as an emerging discipline for data intensive discovery. Three plenary sessions of the conference can be reckoned as the points of reference of the conference program pivot formed by the keynotes. These are: the invited session on IBM Cognitive Systems with Watson System solutions overview and Watson application examples, particularly in medicine; the panel prepared by the researchers from the eight scientific institutes of the RF devoted to the data access challenges for data intensive research in Russia; and the last session of the conference considering infrastructure solutions intended for support of scientific data and processes. More than 40 presentations at the scientific sessions at the twelve scientific sessions of the conference cover the problems of data heterogeneity and integration, information extraction from the multistructured data, subject domains modeling (including formation of knowledge bases in medicine), efficiency of computations, semantics of the large textual collections, as well as the specificity of the systems for data analysis (separate session is devoted to the problems of big data analysis in physics), approaches for data intensive problems solving. The majority of these presentations reflect the results of research made in the research institutes, centers and universities located at the different places on the territory of Russia, including: Briansk, Chernogolovka, Dubna, Irkutsk, Jaroslavl, Kazan, Moscow, Nizhny Novgorod, Novosibirsk, Obninsk, Omsk, Pereslavl Zalessky, Saint Petersburg, Tomsk, Chelyabinsk, Vladivostok. Besides that, the conference includes also several associated events, such as the tutorial on large-scale statistics with MonetDB and R (organized by Hannes Mühleisen (Amsterdam University); PhD Workshop that includes ten talks related to PhD researches and starts with the keynote by Michael Brodie (CSAIL Lab, MIT) entitled “A 21st Century Applied Computer Science PhD “; open workshop devoted to the social network data analysis. Special features of the conference DAMDID/RCDL’2015 organization (comparing to previous RCRDL conferences) include creation of a new site as well as transfer to the CMT system use. The chairs of the Program Committee and Organizing Committee of DAMDID/RCDL’2015 express their gratitude to Alexey Vovchenko for the development of the conference site and to Nikolay Skvortsov for the qualified application of the CMT at all stages of the conference preparation. The chairs of the Organizing Committee and Program Committee of DAMDID/RCDL’2015 express their gratitude to the authors of the submissions as well as to the Russian Foundation for Basic Research and the Department of Nanotechnologies and Information Technologies of the Russian Academy of Sciences for the support of the Conference. The Coordinating committee of the DAMDID/RCDL conferences thanks Director and employees of the Institute for Nuclear Power Engineering of the National Research Nuclear University MEPhI for their hard and responsible work on preparing and carrying out of the Conference as well as the members of the Program Committee for their important work on reviewing and selection of submissions. Co-chairs of the Program committee Co-chairs of the Organizing committee Leonid A. Kalinichenko Natalia G. Ayrapetova (IPI FRC CSC RAS) (INPE NRNU MEPhI) Sergey O. Starkov Victor N. Zakharov (INPE NRNU MEPhI) (IPI FRC CSC RAS)
The shipbuilding sector’s multiple contributions to the social and economic development, as well as to science and technology, of major maritime countries mean that the sector attracts strong interest of entrepreneurs, researchers, and government agencies. Meanwhile the diverse forms of inter-industrial interaction, and specific aspects associated with building high-technology vessels require significant investments. Hence that is a significant challenge in a context of increasingly uncertain future demand for innovative products. What will the global shipbuilding industry look like in the next 10-15 years? What market niches will open ‘windows of opportunity’ for the Russian shipbuilding industry? Experts from industrial companies and research organisations answered these and other questions as part of a foresight study conducted by the HSE ISSEK jointly with the Krylov State Research Centre. The industry is highly dependent on various global environmental, energy, demographic, food, transport and technological factors. Accordingly, the prospects for technological development of the Russian shipbuilding and ship repair industry were analysed in the context of global, national, and industry-specific challenges, trends, drivers and limitations. The study compiled a vision of the global shipbuilding’s future based on the analysis of the expert community’s opinions, strategic documents, programmes, and forecasts. The vision comprises multiple images covering more than 400 technologies and products grouped into 11 subject areas: ecology and environment protection; engines and mechanisms; ship designs; new materials and processing technologies; formation technologies and automated systems; navigation; telecommunications; energy supply and energy saving; safety and security; management and control; vessels’ life cycle technologies; production technologies. Analysis of inter-industrial interaction revealed synergies by applying technological innovations created in other industries in the shipbuilding sector. The four possible shipbuilding development scenarios until 2030 are proposed taking into account key uncertainty factors and strategic ‘forks.’ These scenarios enabled us to identify high-priority areas with a potential to implement the full innovation cycle – from research and development to commercialisation of end products. The study’s plausible conclusion is that the Russian shipbuilding industry’s competitive advantages in the global market can be achieved by implementing active government policies to support the production of high-technology vessels and marine equipment to develop mineral deposits on the continental shelf.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Generalized error-locating codes are discussed. An algorithm for calculation of the upper bound of the probability of erroneous decoding for known code parameters and the input error probability is given. Based on this algorithm, an algorithm for selection of the code parameters for a specified design and input and output error probabilities is constructed. The lower bound of the probability of erroneous decoding is given. Examples of the dependence of the probability of erroneous decoding on the input error probability are given and the behavior of the obtained curves is explained.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
Let G be a semisimple algebraic group whose decomposition into the product of simple components does not contain simple groups of type A, and P⊆G be a parabolic subgroup. Extending the results of Popov , we enumerate all triples (G, P, n) such that (a) there exists an open G-orbit on the multiple flag variety G/P × G/P × . . . × G/P (n factors), (b) the number of G-orbits on the multiple flag variety is finite.
I give the explicit formula for the (set-theoretical) system of Resultants of m+1 homogeneous polynomials in n+1 variables