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International Symposium on Multiple-Valued Logic

作者： Dušan B. Gajić Radomir S. Stanković Department of Computing and Control Engineering University of Novi Sad Novi Sad Serbia Department of Computer Science University of Niš Niš Serbia

The discrete Pascal transform (DPT) is a relatively recently introduced spectral transform based on the concept of the Pascal triangle which has been known for centuries. It is used in digital image processing, digital filtering, pattern recognition, watermarking, and related areas. Its applicability is limited by the O(N 2 ) asymptotical time complexity of best current algorithms for its computation, where N is the size of the function to be processed. In this paper, we propose a method for the efficient computation of the DPT in O(N log N) time, based on the factorization of its transform matrix into a product of three matrices with special structure - two diagonal matrices and a Toeplitz matrix. The Toeplitz matrix is further embedded into a circulant matrix of order 2N. The diagonalization of the circulant matrix by the Fourier matrix permits the use of the fast Fourier transform (FFT) for performing the computations, leading to an algorithm with the overall computational complexity of O(N log N). Since the entries in the Toeplitz matrix have very different magnitudes, the numerical stability of this algorithm is also discussed. We also consider the issues in implementing the proposed algorithm for highly-parallel computation on graphics processing units (GPUs). The experiments show that computing the DPT using the proposed algorithm processed on GPUs is orders of magnitude faster than the best current approach. As a result, the proposed method can significantly extend the practical applicability of the discrete Pascal transform.

关键词： Transforms Matrix decomposition Matrix converters Time complexity Numerical stability Symmetric matrices Nickel

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Multi-antenna channel interpolation via Tucker decomposed extreme learning machine

arXiv

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arXiv 2018年

作者： Zhang, Han Ai, Bo Xu, Wenjun Xu, Li Cui, Shuguang Department of Electrical and Computer Engineering University of California DavisCA95616 United States State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Key Lab of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Institute of Computing Technology Chinese Academy of Science Beijing100190 China

Channel interpolation is an essential technique for providing high-accuracy estimation of the channel state information (CSI) for wireless systems design where the frequency-space structural correlations of multi-antenna channel are typically hidden in matrix or tensor forms. In this letter, a modified extreme learning machine (ELM) that can process tensorial data, or ELM model with tensorial inputs (TELM), is proposed to handle the channel interpolation task. The TELM inherits many good properties from ELMs. Based on the TELM, the Tucker decomposed extreme learning machine (TDELM) is proposed for further improving the performance. Furthermore, we establish a theoretical argument to measure the interpolation capability of the proposed learning machines. Experimental results verify that our proposed learning machines can achieve comparable mean squared error (MSE) performance against the traditional ELMs but with 15% shorter running time, and outperform the other methods for a 20% margin measured in MSE for channel interpolation. Copyright © 2018, The Authors. All rights reserved.

关键词： Interpolation

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Traffic parameters prediction using a three-channel convolutional neural network 1

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2nd IFIP TC 12 International Conference on Intelligence Science, ICIS 2017

作者： Zang, Di Wang, Dehai Cheng, Jiujun Tang, Keshuang Li, Xin Department of Computer Science and Technology Tongji University Shanghai China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Department of Transportation Information and Control Engineering Tongji University Shanghai China Shanghai Lujie Electronic Technology Co. Ltd. PudongShanghai China

ISBN: (数字)9783319681214

ISBN: (纸本)9783319681207

Traffic three elements consisting of flow, speed and occupancy are very important parameters representing the traffic information. Prediction of them is a fundamental problem of Intelligent Transportation Systems (ITS). Convolutional Neural Network (CNN) has been proved to be an effective deep learning method for extracting hierarchical features from data with local correlations such as image, video. In this paper, in consideration of the spatiotemporal correlations of traffic data, we propose a CNN-based method to forecast flow, speed and occupancy simultaneously by converting raw flow, speed and occupancy (FSO) data to FSO color images. We evaluate the performance of this method and compare it with other prevailing methods for traffic prediction. Experimental results show that our method has superior performance. © IFIP International Federation for Information Processing 2017.

关键词： Forecasting

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Using convolutional neural network with asymmetrical kernels to predict speed of elevated highway 1

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2nd IFIP TC 12 International Conference on Intelligence Science, ICIS 2017

作者： Zang, Di Ling, Jiawei Cheng, Jiujun Tang, Keshuang Li, Xin Department of Computer Science and Technology Tongji University Shanghai China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Department of Transportation Information and Control Engineering Tongji University Shanghai China Shanghai Lujie Electronic Technology Co. Ltd. Pudong Shanghai China

ISBN: (数字)9783319681214

ISBN: (纸本)9783319681207

In this paper, we present a deep learning based approach to performing the whole-day prediction of the traffic speed for the elevated highway. In order to learn the temporal features of traffic speed data in a hierarchical way, an improved convolutional neural network (CNN) with asymmetric kernels is proposed. Speed data are collected from loop detectors of Yan’an elevated highway of Shanghai. To test the performance of the presented method, we compare it with some conventional approaches of traffic speed estimation. Experimental results demonstrate that our method outperforms all of them. © IFIP International Federation for Information Processing 2017.

关键词： Speed

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Statistical shape model generation using diffeomorphic surface registration 17

Statistical shape model generation using diffeomorphic surfa...

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2nd International Conference on Biomedical Signal and Image Processing, ICBIP 2017

作者： Wu, J. Li, G. Lu, H. Kim, H. Ogunbona, P.O. School of Electronics and Information Engineering Tianjin Polytechnic University No. 399 Binshui Xi Road Xiqing District Tianjin300387 China Department of Control Engineering Kyushu Institute of Technology 1-1 Sensuicho Tobata Kitakyushu Fukuoka Japan School of Computing and Information Technology University of Wollongong Northfield Avenue WollongongNSW2522 Australia

ISBN: (纸本)9781450352680

Statistical shape modelling is an efficient and robust method for medical image segmentation in computer-aided diagnosis. The key step in building a statistical shape model is to find corresponding landmarks in each instance of a training set. In this paper, a novel landmark correspondence estimation method that uses edge collapse surface simplification and the sphere registration is proposed. All the landmarks are selected and transformed by spherical conformal mapping from the instances of the training set and the associated correspondence are automatically found on the spheres. We applied our method on 21 cases of 3-D right lung shapes. The results of image segmentation experiment indicate that our method has a positive influence on the accuracy of segmentation result. © 2017 Association for computing Machinery.

关键词： Spheres

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6TiSCH operation sublayer (6top) implementation on Contiki OS

6TiSCH operation sublayer (6top) implementation on Contiki O...

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International Communication Systems and Networks and Workshops, COMSNETS

作者： Lijo Thomas R Shalu J Jerry Daniel S. V. R Anand Malati Hegde Centre for Development of Advanced Computing Control and Instrumentation Group Thiruvananthapuram India Centre for Development of Advanced Computing Juhu Maharashtra IN Department of Electrical Communication Engineering Indian Institute of Science Bangalore India

ISBN: (纸本)9781509042517

The Internet engineering Task Force (IETF) has set up the 6TiSCH Working Group (WG) to focus on enabling IPv6 over the Time Slotted Channel Hoping (TSCH) mode of the IEEE 802.15.4-2015 standard. This paper describes our Contiki implementation of the 6TiSCH operation sublayer, 6top, which is used for dynamic scheduling of bandwidth between the neighboring sensor nodes and facilitate the On the Fly (OTF) scheduling.

关键词： Computer architecture Dynamic scheduling Bandwidth Schedules IEEE 802.15 Standard Job shop scheduling

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Automated data extraction from synthetic and real radargrams of district heating pipelines

Automated data extraction from synthetic and real radargrams...

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International Workshop on Advanced Ground Penetrating Radar (IWAGPR)

作者： Aleksandar Ristić Milan Vrtunski Miro Govedarica Lara Pajewski Xavier Derobert Department for computing and control engineering University of Novi Sad Novi Sad Serbia Department of Information Engineering Electronics and Telecommunications Sapienza University of Rome Rome Italy GERS Department LUNAM University Bouguenais France

ISBN: (纸本)9781509054855

The main goal of this paper is to investigate the performance of an algorithm for point extraction from hyperbolic reflections in synthetic and real Ground-Penetrating Radar (GPR) data. The real radargrams that we considered contain hyperbolic reflections due to the presence, in the surveyed area, of district heating pipelines DN250 (250mm inner diameter pipe). These are buried 88 cm deep in a soil trench, and covered by compacted sand and concrete bricks (behaton pavement). The synthetic radargrams result from the simulation of a model representing the real geometry on the location of interest. The simulation was carried out by using gprMax, ver. 3.

关键词： Reflection Ground penetrating radar Heating systems Pipelines Soil Concrete Geometry

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Mathematical modeling of the synthesis process of vinyl acetate

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Journal of Physics: Conference Series 2019年第1期1278卷

作者： D Arapov S Tikhomirov S Podvalny V Denisenko I Avcinov Chair of Higher Mathematics and Information Technology Voronezh State University of Engineering Technologies 19 Revolution Avenue Voronezh 394036 Russian Federation Chair of Information and Control Systems Voronezh State University of Engineering Technologies 19 Revolution Avenue Voronezh 394036 Russian Federation Head of the Department of Automated and Computing Systems Voronezh State Technical University 14 Moskovsky Avenue Voronezh 394026 Russian Federation

A complete mathematical modeling of the technological process of manufacturing vinyl acetate monomer by vapor-phase method has been implemented. The model is partial differential equations of the material and energy balance and catalyst aging. An algorithm for an integrated equation based on the second-order Gregg-Bulirsh-Shter rectangle symbol has been developed. The error in modeling the process is equal (CH3COOCH=CH2) ± 5.4% rel. for the target matter, and (CO2) ± 6.4% rel. for the secondary substance The kinetic coefficients of differential equations, namely the pre-exponential factors and the activation energy have been refined. The obtained data of the modeling of the vapor-phase manufacturing process of vinyl acetate are shown in the form of tables and graphic three-dimensional dependencies of quality indicators on technological parameters.

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Verification of algorithm for point extraction from hyperbolic reflections in GPR data

Verification of algorithm for point extraction from hyperbol...

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International Workshop on Advanced Ground Penetrating Radar (IWAGPR)

作者： Aleksandar Ristić Željko Bugarinović Miro Govedarica Lara Pajewski Xavier Derobert Department for computing and control engineering University of Novi Sad Novi Sad Serbia Department of Information Engineering Electronics and Telecommunications Sapienza University of Rome Rome Italy IFFSTAR LUNAM University Bouguenais France

The main goal of this paper is to determine the characteristics of an algorithm for point extraction from hyperbolic reflections in Ground-Penetrating Radar (GPR) data with different acquisition settings. Analysis is performed on a series of experimental radargrams that were collected in real conditions, on the same location. Two district heating pipes DN250 in atrench, covered by compacted sand, were scanned and the acquisition was done by using a 900MHz antenna. The pipe depth and the axial distance were measured when the trench was open. Measured dimensions were then compared with the values obtained by the algorithm.

关键词： Ground penetrating radar Reflection Algorithm design and analysis Data mining Heating systems Artificial neural networks Civil engineering

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Angular Speed control of Brushed DC Motor Using Nonlinear Method: Design and Experiment 35

Angular Speed Control of Brushed DC Motor Using Nonlinear Me...

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第35届中国控制会议

作者： ZHANG Sen GU Wanli HU Yunfeng DU Juan CHEN Hong Department of Control Science and Engineering Jilin University State Key Laboratory of Automotive Simulation and Control Jilin University Computing Center of Jilin Province

ISBN: (纸本)9781509009107

The major concentration of this study is on developing a novel control system with response and tracking accuracy features capable of precise angular speed regulation of brushed DC motor. Towards this objective, speed loop controller of brushed DC motor based on Triple-step nonlinear method has been designed. The Triple-step nonlinear method consists of the steady-state control, the reference variation-based feed-forward control, the error feedback control. The designed nonlinear controller has the advantage of concision and specific signification. The controller can greatly enhance the transient response performance of brushed DC motor. When a brushed DC motor running at low angular speed, the system appears the speed fluctuation and dead-zone characteristic. Therefore, the friction model of motor is considered in the design of controller. Current dynamic is neglected due to the fast electric response, the commonly used feedforward controller and PI feedback controller is designed. The effectiveness of the control method compared with conventional PID controllers is verified through experiments.

关键词： Brushed DC Motor Triple-step Method Friction model Angular Speed control

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