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International Conference on Indoor Positioning and Indoor Navigation (IPIN)

作者： Tobias Feigl Thorsten Nowak Michael Philippsen Thorsten Edelhäußer Christopher Mutschler Programming Systems Group (Informatics II) Friedrich-Alexander University Erlangen-Nürnberg Erlangen Germany Institute of Information Technology (Comm. Electronics) Friedrich-Alexander University Erlangen-Nürnberg Erlangen Germany Precise Positioning and Analytics Department Fraunhofer Institute for Integrated Circuits IIS Nürnberg Nürnberg Germany Machine Learning and Data Analytics Lab Friedrich-Alexander University Erlangen-Nürnberg Erlangen Germany

Kalman filters (KFs) are popular methods to estimate position information from a set of time-of-flight (ToF) values in radio frequency (RF)-based locating systems. Such filters are proven to be optimal under zero-mean Gaussian error distributions. In presence of multipath propagation ToF measurement errors drift due to small-scale motion. This results in changing phases of the multipath components (MPCs) which cause a drift on the ToF measurements. Thus, on a short-term scale the ToF measurements have a non-constant bias that changes while moving. KFs cannot distinguish between the drifting measurement errors and the true motion of the tracked object. Hence, very rigid motion models have to be used for the KF which commonly causes the filters to diverge. Therefore, the KF cannot resolve the short-term errors of consecutive measurements and the long-term motion of the tracked object. This paper presents a data-driven approach that uses training sequences to derive a near-optimal position estimator. A Long Short-Term Memory (LSTM) Recurrent Neural Network (RNN) learns to interpret drifting errors in ToF measurements of a tracked dynamic object directly from raw ToF data. Our evaluation shows that our approach outperforms state-of-the-art KFs on both synthetically generated and real-world dynamic motion trajectories that include drifting ToF measurement errors.

关键词： Trajectory Hidden Markov models Tracking Measurement uncertainty Neural networks Position measurement Dynamics

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Scientific Data Lake for High Luminosity LHC project and other data-intensive particle and astro-particle physics experiments

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Journal of Physics: Conference Series 2020年第1期1690卷

作者： A Alekseev A Kiryanov A Klimentov T Korchuganova V Mitsyn D Oleynik A Smirnov S Smirnov A Zarochentsev Compiler Technology Department Ivannikov Institute for System Programming of the RAS Moscow 109004 Russia Cloud technologies and Big Data analytics laboratory Plekhanov Russian University of Economics Moscow 117997 Russia ATLAS group Universidad Andres Bello Santiago 7550196 Chile Department of computing resources and technologies NRC 'Kurchatov Institute' - PNPI 188300 Gatchina Russia Physics Department Brookhaven National Laboratory Upton NY 11973 USA Laboratory of Information Technologies Joint Institute for Nuclear Research Dubna 141980 Russia Institute of Nuclear Physics and Engineering National Research Nuclear University MEPhI Moscow 115409 Russia Laboratory of Ultra-High Energy Physics Saint Petersburg State University Saint Petersburg 198504 Russia

The next phase of LHC Operations – High Luminosity LHC (HL-LHC), which is aimed at ten-fold increase in the luminosity of proton-proton collisions at the energy of 14 TeV, is expected to start operation in 2027-2028 and will deliver an unprecedented scientific data volume of multi-exabyte scale. This amount of data has to be stored and the corresponding storage system should ensure fast and reliable data delivery for processing by scientific groups distributed all over the world. The present LHC computing and data processing model will not be able to provide the required infrastructure growth even taking into account the expected hardware technology evolution. To address this challenge the new state-of-the-art computing infrastructure technologies are now being developed and are presented here. The possibilities of application of the HL-LHC distributed data handling technique for other particle and astro-particle physics experiments dealing with large-scale data volumes like DUNE, LSST, Belle-II, JUNO, SKAO etc. are also discussed.

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Identification of hand motion using background subtraction method and extraction of image binary with backpropagation neural network on skeleton model

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Journal of Physics: Conference Series 2018年第1期978卷

作者： Fauziah E P Wibowo S Madenda Hustinawati Information Technology Doctoral Programme in Gunadarma University Lecturer in Faculty of Informatic and Communication Technology Nasional University Indonesia Microelectronic & Images Processing Studies Gunadarma University Professor in Gunadarma University Indonesia Head Laboratory of Application and Programming Gunadarma University

Capturing and recording motion in human is mostly done with the aim for sports, health, animation films, criminality, and robotic applications. In this study combined background subtraction and back propagation neural network. This purpose to produce, find similarity movement. The acquisition process using 8 MP resolution camera MP4 format, duration 48 seconds, 30frame/rate. video extracted produced 1444 pieces and results hand motion identification process. Phase of image processing performed is segmentation process, feature extraction, identification. Segmentation using bakground subtraction, extracted feature basically used to distinguish between one object to another object. Feature extraction performed by using motion based morfology analysis based on 7 invariant moment producing four different classes motion: no object, hand down, hand-to-side and hands-up. Identification process used to recognize of hand movement using seven inputs. Testing and training with a variety of parameters tested, it appears that architecture provides the highest accuracy in one hundred hidden neural network. The architecture is used propagate the input value of the system implementation process into the user interface. The result of the identification of the type of the human movement has been clone to produce the highest acuracy of 98.5447%. The training process is done to get the best results.

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Method for rules set forming of cyber incidents extrapolation in network-centric monitoring

Method for rules set forming of cyber incidents extrapolatio...

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International Scientific-Practical Conference Problems of Infocommunications Science and technology

作者： Zhengbing Hu Andrii Gizun Viktor Gnatyuk Vitalii Kotelianets Tetiana Zhyrova School of Educational Information Technology Central China Normal University Wuhan China IT-Security Academic Dept National Aviation University Kyiv Ukraine Kyiv College of Communication Cycle Commission of Mathematics Modeling and Programming Kyiv Ukraine

ISBN: (纸本)9781538609842

Cyber incidents can disrupt regular mode of information and telecommunication systems functioning and to cause the substantial material and image losses for the company. One of the approaches in incident management is the use of the theory of network-centric management for cyber incidents monitoring, but is not formalized stage of forming basic rules set. In this regard, in this work developed the method for rules set forming of cyber incidents extrapolation in network-centric monitoring, which allows to automate and increase accuracy operation of network-centric systems for information and telecommunication systems monitoring by determining possible types of cyber attacks and cyber incidents categories, forming vector-matrix of cyber incidents probability, cyber incidents ranging by their importance and determining limit values of probability, forming cyber incidents possibility indicators, and also development and establishment of cyber incidents extrapolation rules.

关键词： Computer security information technology Computer networks Conferences

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Modular Fault Diagnosis in Fixed-Block Railway Signaling Systems

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IFAC-PapersOnLine 2016年第3期49卷 459-464页

作者： Durmus, Mustafa S. Ustoglu, lker Tsarev, Roman Y. Schwarz, Michael Electrical and Electronics Engineering Department Pamukkale University Denizli Turkey Control and Automation Engineering Department Yildiz Technical University Istanbul Turkey Institute of Space and Information Technology Siberian Federal University Krasnoyarsk Russia Computer Architecture and System Programming Kassel University Kassel Germany

The diagnosis of possible faults in railway signaling systems is an important issue to provide safe travel and transportation in railways. Signaling system designers have to consider the possible faults which may occur in railway field components both on the requirements preparation phase and on the development phase of the signaling system software or namely, the interlocking system. Although the diagnosis of different unobservable faults is relatively hard, especially for large scale railway fields, this complexity can be overcome by using the Discrete Event System (DES) based modular diagnosis approach which is explained in this paper. The main advantage of using such modular approach for fault diagnosis in fixed-block signaling systems is the inspection of the diagnosability of the whole system with respect to its subsystems (railway field components). In this study, the diagnosability of the railway field equipment and the whole system is also explained with a case study. © 2016

关键词： Fault detection Discrete event simulation Failure analysis Railroad signal systems Railroads Signaling Development phase Field components Field equipment Fixed block signaling Interlocking systems Modular approach Railway signaling systems Signaling systems

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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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The Approximate Solution of one Task on Thermal Processes by Means of the Finite Element Method

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IOP Conference Series: Materials Science and Engineering 2017年第1期225卷

作者： A A Aliyev C K Kazimov R B Samadov Department of Information technology and programming Baku State University Baku city AZ-1073/1 Republic of Azerbaijan

An elliptic second-order equation is solved by support of the finite element method that describes one thermal process. The solution is sought in the space . The finite-element approximation of the problem is provided...

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The use of Cryptography in Network Security

The use of Cryptography in Network Security

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9th International Conference on Application of information and Communication Technologies, AICT 2015

作者： Jafarov, Zafar Information Technology and Programming' Department Azerbaijan Technical University Baku Azerbaijan

ISBN: (纸本)9781467368551

Network Security is the most vital component in information security because it is responsible for securing all information passed through networked computers. Network Security refers to all hardware and software functions, characteristics, features, operational procedures, accountability, measures, access control, and administrative and management policy required to provide an acceptable level of protection for Hardware and Software, and information in a network. Only one particular element underlies many of the security mechanisms in use: Cryptographic techniques; hence our focus is on this area Cryptography. Cryptography is an emerging technology, which is important for network security. Research on cryptography is still in its developing stages and a considerable research effort is still required for secured communication. © 2015 IEEE.

关键词： Network security

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Fuzzy Logic and Lexicological Support of the Creation of Terminological Dictionary of Intermediate Language in Bilingual Education

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Procedia Computer Science 2016年 102卷 390-397页

作者： Tarlan Abdullayev Niyar Umarova Zeynal Jamalov A. Alekperov Department of Computing Engineering Odlar Yurdu University Baku AZ1008 Azerbaijan Department of Information Technology and Programming Baku State University Baku AZ1148 Azerbaijan Azerbaijan State Economic University Baku AZ1001 Azerbaijan

The paper is formulated and tested a fuzzy approach to the formation of a lexicological dictionary of intermediate language in bilingual education. To estimate the degree of assimilation of the new term it is selected block of evaluation criteria, which based on observations students range marks and aggregated for subsequent assignment of the degree of comprehensibility concerning to this term as part of lexicological dictionary.

关键词： Intermediate language bilingual education glossary of terms fuzzy set fuzzy conclusion

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Design adaptability for multilingual mobile application software 24

Design adaptability for multilingual mobile application soft...

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24th International Conference on Software Engineering and Data Engineering, SEDE 2015

作者： Netinant, Paniti College of Information Technology and Communication Rangsit University Patumthani Thailand Concurrent Programming Research Group Illinois Institute of Technology ChicagoIL United States

ISBN: (纸本)9781510812277

Developing adaptable mobile application software is very difficult. An adaptability in multilingual mobile software becomes inevitable numerous changes. This paper presents not only perimeter reusability, but also makes modification invasive changes to meet new requirements for the mobile software design of multilingual mobile application software. The multilingual mobile software has to reengineer, in order to meet the new language requirements. A misunderstanding that an object-oriented approach generally endorses adaptability, as none of these problems is routinely imposed. Software designers and developers have to specifically considered software making adaptability stress-free. We present a mobile application framework which is a better supporting adaptability. In the framework, functional components and nonfunctional components are relatively separated. This technique makes multilingual mobile software developing much better adaptability. A framework enables manageable reusability and adaptability for building of multilingual mobile software. Our research focuses on a decomposition of an interaction in a multilingual mobile software development and our goal is to demonstrate a better model of multilingual mobile software design and development.

关键词： Reusability

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