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IEEE Conference on Quality management, Transport and information Security, information Technologies (IT&MQ&IS)

作者： Mikhail A. Afanasev Mark S. Kliachin Diana V. Demidko Department of Information System Management and Programming Plekhanov Russian University of Economics Moscow Russia

ISBN: (纸本)9781538667583

In a modern world, organization of mass events of various kinds is rapidly becoming ever more popular. Organization of any event requires a serious preparation and considerable amount of various resources. Organizers ever more frequently conclude that they need to use information systems for preparation and delivery of such events. This paper describes the process automation experience for planning and conduct of an annual event during a period of several years.

关键词： Automation information systems Organizations Planning Databases Kernel

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Enterprise Investments for Transition from Automation to Digitization

Enterprise Investments for Transition from Automation to Dig...

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International Russian Automation Conference

作者： Natalia Mamedova Natalia Dneprovskaya Department of State and Municipal Management Plekhanov Russian University of Economics Department of Information system management and programming Plekhanov Russian University of Economics

ISBN: (纸本)9781538649398

The paper considers the stages of information-and-technological development of an enterprise from automation to digitization. The task is set to determine the appropriate moment when an enterprise shall come to its activity digitization. An early or late transition threatens with the reduction of the enterprise efficiency achieved due to information technology use. The paper presents the policy of making an investment decision on transition from automation to digitization for an operating enterprise based on the investment efficiency assessment and the Gompertz distribution.

关键词： Digitization Project of improving innovation Concept of key competence of organization Methods of investment project assessment

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The Knowledge management system Development for Smart Education

The Knowledge Management System Development for Smart Educat...

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IEEE Conference on Quality management, Transport and information Security, information Technologies (IT&MQ&IS)

作者： Natalia V. Dneprovskaya Inessa V. Shevtsova Department of Information System Management and Programming Plekhanov Russian University of Economics Moscow Russia School of Public Administration Lomonosov Moscow State University Moscow Russia

ISBN: (纸本)9781538667583

This paper is devoted to solving a problem of improving the content of education and instructional materials used. The digital technologies are developing so fast that the engineering aspects of application and scientific investigations start blurring the aspects associated with the methodology and content of smart learning. The need for development of digital economy places severe requirements not only upon know-how, but also upon the content of smart learning, i.e., the content of educational courses shall be a reflection of professional activity. The techniques and methods of knowledge management can provide for a desired rate and quality of development of educational materials. This paper describes a knowledge management system which employs intelligent database, network and co-authorship instruments to insure the compliance of the content being developed with the requirements of digital economy and fills out the smart learning with a qualitative content.

关键词： Training Knowledge management Electronic learning Organizations Task analysis Instruments

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Study of Digitization of Russian Higher Education as Basis for Smart Education

Study of Digitization of Russian Higher Education as Basis f...

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IEEE Conference on Quality management, Transport and information Security, information Technologies (IT&MQ&IS)

作者： Natalia V. Dneprovskaya Tuyana A. Bayaskalanova Vitaly L. Ruposov Inessa V. Shevtsova Department of Information System Management and Programming Plekhanov Russian University of Economics Moscow Russia Management Department Irkutsk National Research Technical University Irkutsk Russia School of Public Administration Lomonosov Moscow State University Moscow Russia

ISBN: (纸本)9781538667583

The research objective is to assess the status of digitalization of Russian higher education as a basis for the development of smart education. To solve the tasks of public administration of education, various state information systems are being created. 80% of Russian universities use different information systems in the administrative activities of universities. The assessments of the use of ICT in the educational process point to a great potential that has remained unoccupied in the last few years, less than 30% of Russian students are trained using e-learning and distance education technologies. The use of educational technologies and techniques using ICT is fragmentary. The initiative to develop educational tools and techniques on the basis of ICT, as a rule, belongs to nongovernmental organizations that highly appreciate not only the effectiveness of the use of these technologies in the educational process, but also the potential of the market of educational services provided online. The study shows that the Russian education system has created the necessary backlog for the creation of an ICT infrastructure, regulatory and legal support, which should be used to develop smart education.

关键词： Electronic learning information and communication technology Economics Task analysis information systems Training

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Modeling of Thermoviscoelasticity Time Harmonic Variational Problem for a Thin Wall Body

Modeling of Thermoviscoelasticity Time Harmonic Variational ...

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IEEE International Conference on Data Stream Mining & Processing (DSMP)

作者： Romanna Malets Heorgiy Shynkarenko Igor Malets Petro Vahin Department of programming Ivan Franko National University of Lviv Lviv Ukraine Department of Information System Opole University of Technology Opole Poland Lviv Ukraine Department of Project Management Information Technologies and Telecommunications Lviv State University of Life Safety Lviv Ukraine Department of Information System Ivan Franko National University of Lviv Lviv Ukraine

ISBN: (纸本)9781538628751

The paper presents the construction and analysis of vibration problem of thermoviscoelastic shells under the influence of non-stationary heat and under forced loads. The studied model was based on application of simplest finite element semidiscretization to mixed variational problem of dynamical thermoviscoelasticity. The problem in addition to the mutual influence of temperature field and stress field is also taken into account the viscoelastic properties of the material thin wall body. For assumptions quite suitable for applications we prove the well-posedness forthis model of time harmonic vibrations.

关键词： Heating systems Vibrations Harmonic analysis Mathematical model Tensile stress Load modeling Method of moments

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Preface

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CEUR Workshop Proceedings 2019年 2514卷 1-2页

作者： Avetisyan, Arutyun Ivar, Jacobson Pozin, Boris A. Petrenko, Alexander K. Pozin, Boris A. Petrenko, Alexander K. Cavalli, Ana Rosa Petrenko, Alexander K. Avetisyan, Arutyun Arlazarov, Vladimir Avdoshin, Sergey Batovrin, Victor K. Bershadsky, Alexander M. Boichenko, Alexander Juris, Borzovs Vasenin, Valery A. Schlingloff, Holger Kalyanov, Georgy Kantorovich, Georgy G. Korolev, Anton Kosolapov, Mikhail S. Kostogryzov, Andrey I. Koznov, Dmitry V. Kuznetsov, Sergey Prokhorov, Sergei Soyfer, Victor A. Starykh, Vladimir A. Stolyarov, Gennady K. Stupnikov, Sergey A. Telnov, Yury Ph. Shmid, Alexander Mira, Kajko-Mattssen Miroslawa Wentzl, Wilfried Mayer, Walter H. Yevtushenko, Nina Zakharov, Victor Zmeev, Oleg Cavalli, Ana Rosa Petrenko, Alexander K. Pozin, Boris A. RAS ISP Russia Ivar Jacobson International Switzerland NRU HSE «-leasing» Co Russia NRU HSE ISP RAS Russia Information and Analytical Systems «-leasing» Co Russia Department of Network Software TELECOM and Management SudParis France NRU HSE Russia Software Engineering of Ivannikov Institute for System Programming RAS Russia RAS System Analysis Institute of Federal Research Centre Informatics and Management Russia Russia Penza State University Russia Federal State Educational Centre of Higher Learning «Plekhanov Russian University of Economics» Russia CISA Academy of Sciences of Latvia State University of Latvia Latvia MSU Institut für Offene Kommunikationssysteme FOKUS Germany Verifikation und Testtheorie an der Humboldt-Universität zu Berlin Germany Institute of Control Sciences RAS Russia Institute of Sociology RAS NRU HSE Russia ISO IEEC Institute of Informatics Problems Federal Research Centre IM RAS Russia St. Petersburg State University Russia Institute for System Programming RAS Moscow State University Russia SRI Korolev Samara State Aerospace University Russia Belarus FRC IM RAS Russia FSEC «Plekhanov Russian University of Economics» Russia KTH School of Information and Communication Technology Sweden Governmental Agricultural Analyst Austria Austria Ivannikov Institute for System Programming RAS Russia Institute of Informatics Problems Federal Research Centre IM RAS Russia Tomsk State University Russia

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Preface

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CEUR Workshop Proceedings 2017年 1989卷 5-7页

作者： Pozin, Boris A. Cavalli, Ana Rosa Petrenko, Alexander K. Department of Information and Analytical Systems EC-leasing Co. Russia Department of Network Software TELECOM and Management SudParis France Department of System Engineering Institute of System Programming of RAS Russia

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ROLE OF SIMULATION IN RAPID PROTOTYPING FOR CONCEPT DEVELOPMENT

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NAVAL ENGINEERS JOURNAL 1991年第3期103卷 204-211页

作者： KING, JF BARTON, DE J. Fred King:is the manager of the Advanced Technology Department for Unisys in Reston Virginia. He earned his Ph.D. in mathematics from the University of Houston in 1977. He has been principal investigator of research projects in knowledge engineering pattern recognition and heuristic problem-solving. Efforts include the development of a multi-temporal multispectral classifier for identifying graincrops using LANDSAT satellite imagery data for NASA. Also as a member of the research team for a NCI study with Baylor College of Medicine and NASA he helped develop techniques for detection of carcinoma using multispectral microphotometer scans of lung tissue. He established and became technical director of the AI Laboratory for Ford Aerospace where he developed expert scheduling modeling and knowledge acquisition systems for NASA. Since joining Unisys in 1985 he has led the development of object-oriented programming environments blackboard architectures data fusion techniques using neural networks and intelligent data base systems. Douglas E. Barton:is manager of Logistics Information Systems for Unisys in Reston Virginia. He earned his B.A. degree in computer science from the College of William and Mary in 1978 and did postgraduate work in London as a Drapers Company scholar. Since joining Unisys in 1981 his work has concentrated on program management and software engineering of large scale data base management systems and design and implementation of knowledge-based systems in planning and logistics. As chairman of the Logistics Data Subcommittee of the National Security Industrial Association (NSIA) he led an industry initiative which examined concepts in knowledge-based systems in military logistics. His responsibilities also include evaluation development and tailoring of software engineering standards and procedures for data base and knowledge-based systems. He is currently program manager of the Navigation Information Management System which provides support to the Fleet Ballistic Missile Progr

A valuable technique during concept development is rapid prototyping of software for key design components. This approach is particularly useful when the optimum design approach is not readily apparent or several known alternatives need to be rapidly evaluated. A problem inherent in rapid prototyping is the lack of a "target system" with which to interface. Some alternatives are to develop test driver libraries, integrate the prototype with an existing working simulator, or build one for the specific problem. This paper presents a unique approach to concept development using rapid prototyping for concept development and scenario-based simulation for concept verification. The rapid prototyping environment, derived from artificial intelligence technology, is based on a blackboard architecture. The rapid prototype simulation capability is provided through an object-oriented modeling environment. It is shown how both simulation and blackboard technologies are used collectively to rapidly gain insight into a tenacious problem. A specific example will be discussed where this approach was used to evolve the logic of a mission controller for an autonomous underwater vehicle.

关键词： Military Engineering

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