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arXiv 2018年

作者： Abramov, Sergei A. Petkovsek, Marko Zakrajsek, Helena Dorodnicyn Computing Center Federal Research Center "computer Science and Control" Russian Academy of Sciences Moscow Russia Faculty of Mathematics and Physics University of Ljubljana Institute of Mathematics Physics and Mechanics Ljubljana Slovenia Faculty of Mechanical Engineering University of Ljubljana

While Liouvillian sequences are closed under many operations, simple examples show that they are not closed under convolution, and the same goes for d'Alembertian sequences. Nevertheless, we show that d'Alember-tian sequences are closed under convolution with rationally d'Alembertian sequences, and that Liouvillian sequences are closed under convolution with rationally Liouvillian sequences.68W30, 33F10 Copyright © 2018, The Authors. All rights reserved.

关键词： Convolution

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A performance analysis of computing the LU and the QR matrix decompositions on the CPU and the GPU

A performance analysis of computing the LU and the QR matrix...

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作者： Gajić, Dušan B. Stanković, Radomir S. Radmanović, Miloš Department of Computing and Control Engineering Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia Department of Computer Science Faculty of Electronic Engineering University of Niš Niš Serbia

We present an analysis of time efficiency of five different implementations of the LU and the QR decomposition of matrices performed on central processing unit (CPUs) and graphics processing units (GPUs). Three of the considered implementations, developed using the Eigen C++ library, Intel MKL, and MATLAB are executed on a multi-core CPU. The remaining two implementations are processed on a GPU and employ MATLAB's Parallel computing Toolbox and Nvidia CUDA augmented with the cuSolver library. Computation times are compared using randomly generated single- and double-precision floating-point matrices. The experiments for the LU decomposition show that the two GPU implementations offer best performance for matrices that can fit into the GPU global memory. For larger LU decomposition problem instances, Intel MKL on the CPU is found to be the fastest approach. Furthermore, Intel MKL also proves to be the fastest method for computing QR decomposition for all considered sizes of matrices. Copyright © 2017 Inderscience Enterprises Ltd.

关键词： MATLAB

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Estimation of Non-integer Order Models to Represent the Pressure Dynamics in Common-rail Natural Gas Engines

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IFAC-PapersOnLine 2017年第1期50卷 14551-14556页

作者： Kapetina, Mirna Lino, Paolo Maione, Guido Rapai, Milan University of Novi Sad Faculty of Technical Sciences Computing and Control Department Trg D. Obradovica 6 Novi Sad Serbia Politecnico di Bari Department of Electrical and Information Engineering Via E. Orabona 4 Bari Italy

Automotive natural gas engines are designed to dramatically reduce the emission of polluting gases, particulate matter, and harmful substances associated to combustion of Diesel or gasoline fuels. Their performance depends on the accurate metering of the air/fuel ratio, which is pursued by controlling the gas injection timing and the pressure in the common rail volume. To this aim, an accurate control-oriented model is necessary to represent gas pressure dynamics in the main parts of the injection system. This work focuses on the gas transition from inner parts of the system to the common rail. The aim is to identify a linear non-integer-order model that describes the process in a more effective and compact way than ARX integer-order models of high order. Identification is performed in a non-parametric setting, trying to identify the optimal smooth fit in the frequency domain by minimization of an appropriate discrepancy criterion, between the actual measurements and the model outputs. In this way, the model structure will be obtained as part of the identification process and will not be fixed a priori. © 2017

关键词： Compressed natural gas Diesel engines Frequency response Gas engines Gases Particle swarm optimization (PSO) Actual measurements control oriented models Fractional order systems Harmful substances Identification process Injection systems Model identification Particulate Matter

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Sufficient stability conditions of fractional systems with perturbed differentiation orders

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IFAC-PapersOnLine 2017年第1期50卷 14557-14562页

作者： Malti, Rachid Rapai, Milan Bordeaux University IMS UMR 5218 CNRS 351 cours de la Libration Talence cedex33405 France University of Novi Sad Faculty of Technical Sciences Computing and Control Department Trg D. Obradovica 6 Novi Sad Serbia

In this paper sufficient stability conditions are established for fractional systems with perturbed differentiation orders. It is an extension of the recently published paper Rapaic and Malti [2016] which allows henceforth increasing the highest differentiation order. The maximum allowable variation on all differentiation orders is computed so that the stability (respectively instability) is preserved when differentiation orders are perturbed away from the commensurate ones. The maximum allowable variations are compared in both cases: when the highest order is allowed to be increased and when it is not. The established conditions allow concluding on the stability of incommensurate fractional systems on the basis of Matignon's theorem and the additional sufficient condition. © 2017

关键词： System stability

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P2P Over MANET: A Review and Its Conceptual Framework

P2P Over MANET: A Review and Its Conceptual Framework

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International Conference on Parallel Distributed and Grid computing (PDGC)

作者： Farkhana Muchtar Pradeep Kumar Singh Siti Nor Zawani Ahmmad Radzi Ambar Hafizul Fahri Hanafi Suzi Iryanti Fadilah Faculty of Computing Universiti Teknologi Malaysia Skudai Johor Malaysia Department of CSE &IT JayPee University of IT Waknaghat Solan Himachal Pradesh India Instrumentation & Control Engineering MITEC Johor Malaysia Faculty of Electronic & Electrical Engineering Universiti Tun Hussein Onn Batu Pahat Malaysia Faculty of Art Computing and Creative Industry Universiti Pendidikan Sultan Idris Tanjung Malim Perak Malaysia School of Computer Sciences Universiti Sains Malaysia Gelugor Pulau Pinang Malaysia

ISBN: (纸本)9781728106489

Lately, Peer to Peer (P2P) over Mobile Ad hoc Network have become a hot topics. Thus, the main motivation of this paper is to review various techniques that have been used in previously reported research of Peer to Peer (P2P) over Mobile Ad hoc Network (MANET). From the said document, it is identified that all previously techniques used in P2P over MANET have one similarity; namely maintaining the use of TCP/IP stack as network solution, in which the source for high energy resources for their proposed solution. Hence, this paper proposed a new solution beyond the TCP/IP stack paradigms in order to improve energy efficiency in P2P over MANET, whereby through the use of Content Centric Networking (CCN). In detail, this paper has included conceptual framework of our suggested solution. It is hoped that this paper achieves its two objectives: (i) to present a literature review on the topic of P2P over MANET, and (ii) to provide conceptual framework of our suggested solution.

关键词： Mobile ad hoc networks Peer-to-peer computing TCPIP Overlay networks Internet Protocols

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Prediction of multi-parameters in the inverse heat conduction problems

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Journal of Physics: Conference Series 2020年第1期1707卷

作者： Talaat Abdelhamid Rongliang Chen Mahbub Alam Md. Shenzhen Institutes of Advanced Technology Chinese Academy of Science Shenzhen China. Institute for Turbulence-Noise-Vibration Interaction and Control Shenzhen Graduate School Harbin Institute of Technology Shenzhen China. Physics and Mathematical Engineering Department Faculty of Electronic Engineering Menoufiya University Menouf Egypt. Shenzhen Key Laboratory for Exascale Engineering and Scientific Computing Shenzhen China

This paper studies the prediction of the spatial-dependent-heat transfer coefficient γ(x) and- heat flux q(x), using the modified conjugate gradient method (MCGM). The mathematical formulation of the problem well defined and the existence of the minimizer is investigated. We establish the sensitivity and adjoint equations for computing the gradient with respect to γ(x) and q(x). The proposed algorithm 4.1 is derived for reconstructing γ(x) and q(x) using the MCGM. The numerical experiments are examined to show the efficiency and accuracy of the proposed method. Finally, some conclusions and remarks are given.

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Computation scheduling in multiprocessor systems with several types of additional resources and arbitrary processors

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Moscow University Computational Mathematics and Cybernetics 2017年第3期41卷 145-151页

作者： Furugyan, M.G. Faculty of Computational Mathematics and Cybernetics Moscow State University Moscow 119991 Russian Federation Dorodnitsyn Computing Center Federal Research Center “Computer Science and Control” Russian Academy of Sciences Moscow 119333 Russian Federation

The problem of feasible preemptive scheduling in a multiprocessor system is considered for when scheduled intervals are assigned, processor performance can be arbitrary, there are several types of additional resources, and the time for executing tasks depends linearly on the amount of additional resources allocated to them. Polynomial algorithms based on reducing the original problem to a flow problem and a linear programming problem are developed. © 2017, Allerton Press, Inc.

关键词： multiprocessor system preemptive scheduling resource allocation scheduled intervals

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Design of AI + Curriculum for Primary and Secondary Schools in Qingdao

Design of AI + Curriculum for Primary and Secondary Schools ...

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2018 Chinese Automation Congress, CAC 2018

作者： Han, Xiao Hu, Fang Xiong, Gang Liu, Xiwei Gong, Xiaoyan Niu, Xiaojie Shi, Wanruo Wang, Xinzhu Qingdao Institute of Education Sciences Qingdao China Qingdao No.2 Middle School of Shandong Province Qingdao China Cloud Computing Center Chinese Academy of Sciences Dongguan China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Institute of Smart Education Systems Qingdao Academy of Intelligent Industries Qingdao China Faculty of Education Beijing Normal University Institute of Educational Technology Beijing China

ISBN: (纸本)9781728113128

We are entering a new AI era, and the development of AI technology and popularization of AI education has become the national strategy of China. The primary and secondary school students are the builder of future society, and have strong curiosity and passion to learn new things;therefore, we should make a good preparation of AI education for them and cultivate their basic AI literacy and computational thinking to adapt to the future. In this paper, from the viewpoint of thinking mode and literacy and skill training, a curriculum including basic, project, and practical types is designed. Integrating with the iSTREAM educational system proposed by Chinese Academy of Sciences, exploratory works were shown with some case studies. The applications show that AI education is helpful to enrich the study of primary and secondary school students and to prompt comprehensive quality. © 2018 IEEE.

关键词： Curricula

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The impact of vocabulary size and language model order on the polish whispery speech recognition

The impact of vocabulary size and language model order on th...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Piotr Kozierski Talar Sadalla Szymon Drgas Adam Dąbrowski Joanna Zietkiewicz Poznan University of Technology Pozuan Faculty of Computing Institute of Automation and Robotics Faculty of Electrical Engineering Institute of Control

The article presents studies on the automatic whispery speech recognition. In the performed research a new corpus with whispery speech has been used. The aim of studies presented in this paper was to check, how the vocabulary size and the language model order influence on the speech recognition quality. It has been concluded that even using recordings with 5,000 different words only it is possible to prepare large vocabulary continuous speech recognition (LVCSR) model. It has been also found that the third order of language model is the best choice. The difference between normal and whispery speech is negligible and is manifested only in higher word error rate index (about 1.5 times higher for whispery speech).

关键词： Speech Speech recognition Vocabulary Training Hidden Markov models Error analysis

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Relation Model of Burden Operation and State Variables of Blast Furnace Based on Low Frequency Feature Extraction*

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IFAC-PapersOnLine 2017年第1期50卷 13796-13801页

作者： Zhang, Kexin Wu, Min An, Jianqi Cao, Weihua Liu, Zhentao Ning, Fulong School of Automation China University of Geosciences Wuhan430074 China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Faculty of Engineering China University of Geosciences wuhan430074 China Department of Computer Science School of Computing Tokyo Institute of Technology Yokohama226-8502 Japan

In the blast furnace ironmaking process, the running state of the blast furnace can be directly adjusted by the burden operation. Therefore, the explicit relation between the burden operation and the running state variables is vital for the blast furnace operators. However, the state variables of the blast furnace are affected by many factors and the burden matrix is complicated. In this paper, a support vector regression(SVR) predicting model based on low frequency feature extraction is proposed to solve these problems. First, the low frequency components of state variables time series which are mostly affected by the burden operation are extracted. Then, the dimensions of the burden matrix are reduced by a devised simple expression method. Finally, the relation model based on SVR is proposed to predict the values of the expected state variables according to the simplified burden matrix and the value of initial state variables. The simulation on real factory data indicates that the model reflects the accurate quantitative relation between the burden operation and the state variables. © 2017

关键词： Blast furnaces Blast furnace practice Extraction Feature extraction Support vector regression Blast furnace iron making Blast furnace operators burden operation Initial state variables Low frequency components Relation models State variables Support vector regression (SVR)

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