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International Conference on Intelligent and Advanced systems

作者： Tale Saeidi Idris bin Ismail Vala Saleh Adam R. H. Alhawari Instrument Smart System and Advanced Control Centre (ISAAC) Department of Electrical & Electronic Engineering Universiti Teknologi PETRONAS Faculty of Engineering Universiti Tenaga Nasional Jalan IKRAM-UNITEN Department of Electrical Engineering Faculty of Engineering Najran University

ISBN: (纸本)9781509008469

A tri-band fractal structure for Agriculture, WLAN and GSM band applications is presented. The desired resonances are 0.915, 1.8 and 2.45 GHz. This antenna consists of a modified 90 degree Koch fractal resonator, two layer substrates which are separated by an air gap layer and then fed through the SMA port and finally simulated on RT/Duroid 5880. Fractal shapes have been used to have a multi-band frequencies with a reduction in size. Furthermore, inductive and capacitive loadings have been applied though some stubs, gaps and two shorting posts to reduce the size. Thereafter, the equivalent circuit of the proposed antenna designed based on the literature. The uniqueness of the antenna is the miniaturized size (90 × 90×10mm~3) compared to the first resonant frequency with high performance. The measured results performed on the performance of the proposed antenna, which has a good agreement with the simulation results.

关键词： Koch Triple-band Shrunk size Fractal Performance

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Coherent motion of chaotic attractors

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Physical Review E 2017年第4期96卷 042210-042210页

作者： Patrick Louodop Suman Saha Robert Tchitnga Paulsamy Muruganandam Syamal K. Dana Hilda A. Cerdeira São Paulo State University (UNESP) Instituto de Física Teórica Rua Dr. Bento Teobaldo Ferraz 271 Bloco II Barra Funda 01140-070 São Paulo Brazil Laboratory of Electronics and Signal Processing Faculty of Science Department of Physics University of Dschang P.O. Box 67 Dschang Cameroon Dumkal Institute of Engineering and Technology Murshidabad 742406 India Department of Instrumentation and Electronics Engineering Jadavpur University Kolkata 700090 India Institute of Surface Chemistry and Catalysis University of Ulm Albert-Einstein-Allee 47 89081 Ulm Germany Department of Physics Bharathidasan University Tiruchirapalli 620024 Tamil Nadu India Department of Mathematics Jadavpur University Kolkata 700032 India Centre for Complex System Research Kolkata Kolkata 700094 India

We report a simple model of two drive-response-type coupled chaotic oscillators, where the response system copies the nonlinearity of the driver system. It leads to a coherent motion of the trajectories of the coupled systems that establishes a constant separating distance in time between the driver and the response attractors, and their distance depends upon the initial state. The coupled system responds to external obstacles, modeled by short-duration pulses acting either on the driver or the response system, by a coherent shifting of the distance, and it is able to readjust their distance as and when necessary via mutual exchange of feedback information. We confirm these behaviors with examples of a jerk system, the paradigmatic Rössler system, a tunnel diode system and a Josephson junction–based jerk system, analytically, to an extent, and mostly numerically.

关键词： Coupled oscillators Synchronization

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Study of Learning Entropy for Onset Detection of Epileptic Seizures in EEG Time Series

Study of Learning Entropy for Onset Detection of Epileptic S...

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International Joint Conference on Neural Networks

作者： Ivo Bukovsky Matous Cejnek Jan Vrba Noriyasu Homma Department of Instrumentation and Control Faculty of Mechanical Engineering CTU Prague Czech Republic Tohoku University Graduate School of Medicine Sendai Japan

ISBN: (纸本)9781509006212

This paper presents a case study of non-Shannon entropy, i.e. Learning Entropy (LE), for instant detection of onset of epileptic seizures in individual EEG time series. Contrary to entropy methods of EEG evaluation that are based on probabilistic computations, we present the LE-based approach that evaluates the conformity of individual samples of data to the contemporary learned governing law of a learning system and thus LE can detect changes of dynamics on individual samples of data. For comparison, the principle and the results are compared to the Sample Entropy approach. The promising results indicate the LE potentials for feature extraction enhancement for early detection of epileptic seizures on individual-data-sample basis.

关键词： Entropy Channel coding History Unified modeling language Adaptation models Epilepsy Rats

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Precise Multi-Sensor Georeferencing system for Micro UAVs

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IFAC-PapersOnLine 2016年第25期49卷 170-175页

作者： Petr Gabrlik Ales Jelinek Premysl Janata Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Department of Forest Management and Applied Geoinformatics Faculty of Forestry and Wood Technology Mendel University in Brno Brno Czech Republic

The direct georeferencing technique in aerial photogrammetry using micro Unmanned Aerial Vehicles (UAV) is not commonly used against indirect approach due to high requirements of equipment and calibration. On the other hand this technique brings several advantages which can be beneficial in some applications. This paper deals with the development and testing of precise multi-sensor system for the direct georeferencing of aerial imagery. The system consist of dual-antenna Real Time Kinematic (RTK) Global Navigation Satellite system (GNSS) receiver with centimeter level accuracy and Inertial Navigation system (INS) which fuses inertial and position information to provide accurate navigation and orientation data in real time. Special attention is paid to the time synchronization of various sensor data and lever arm correction. 3D print technology was used to achieve low weight and high modularity of the system which can be easily modified and mounted to different types of UAVs. This paper also describes a test flight mission and the processing workflow from the data acquisition to the import of georeferenced orthophoto to a Geographic Information system (GIS).

关键词： Direct georeferencing photogrammetry multisensor integration navigation systems UAV

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Dead time approximation of LTI SISO systems in time domain using generalized Laguerre functions

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AIP Conference Proceedings 2018年第1期1978卷

作者： Martin Tůma Pavel Jura 1Central European Institute of Technology CEITEC BUT Brno University of Technology Technicka 12 616 00 Brno Czech Republic Department of Control & Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Technicka 12 616 00 Brno Czech Republic 2Central European Institute of Technology CEITEC BUT Brno University of Technology Technicka 12 616 00 Brno Czech Republic

In this article some properties of the generalized Laguerre functions (GLF) will be presented. The application of the generalized Laguerre functions for modeling of the dead time in the time domain will be shown. The speed of convergence for the approximating series with the generalized Laguerre functions will be compared with the simple Laguerre functions series.

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Optimal parameters for the generalized Laguerre identification method

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AIP Conference Proceedings 2018年第1期1978卷

In this article the question of the optimal choice of the generalization parameter α and the time-scale parameter p for truncated series of generalized Laguerre functions (GLF) will be studied. Short introduction of the GLF identification method will be given. The impact of the optimal choice of parameters α and p for approximating output signals of LTI dynamical systems will be presented on the examples.

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Corrigendum to: The TianQin project: current progress on science and technology

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Progress of Theoretical and Experimental Physics 2021年第5期2021卷

作者： Mei, Jianwei Bai, Yan-Zheng Bao, Jiahui Barausse, Enrico Cai, Lin Canuto, Enrico Cao, Bin Chen, Wei-Ming Chen, Yu Ding, Yan-Wei Duan, Hui-Zong Fan, Huimin Feng, Wen-Fan Fu, Honglin Gao, Qing Gao, TianQuan Gong, Yungui Gou, Xingyu Gu, Chao-Zheng Gu, De-Feng He, Zi-Qi Hendry, Martin Hong, Wei Hu, Xin-Chun Hu, Yi-Ming Hu, Yuexin Huang, Shun-Jia Huang, Xiang-Qing Jiang, Qinghua Jiang, Yuan-Ze Jiang, Yun Jiang, Zhen Jin, Hong-Ming Korol, Valeriya Li, Hong-Yin Li, Ming Li, Pengcheng Li, Rongwang Li, Yuqiang Li, Zhu Li, Zhulian Li, Zhu-Xi Liang, Yu-Rong Liang, Zheng-Cheng Liao, Fang-Jie Liu, Qi Liu, Shuai Liu, Yan-Chong Liu, Li Liu, Pei-Bo Liu, Xuhui Liu, Yuan Lu, Xiong-Fei Lu, Yang Lu, Ze-Huang Luo, Yan Luo, Zhi-Cai Milyukov, Vadim Ming, Min Pi, Xiaoyu Qin, Chenggang Qu, Shao-Bo Sesana, Alberto Shao, Chenggang Shi, Changfu Su, Wei Tan, Ding-Yin Tan, Yujie Tan, Zhuangbin Tu, Liang-Cheng Wang, Bin Wang, Cheng-Rui Wang, Fengbin Wang, Guan-Fang Wang, Haitian Wang, Jian Wang, Lijiao Wang, Panpan Wang, Xudong Wang, Yan Wang, Yi-Fan Wei, Ran Wu, Shu-Chao Xiao, Chun-Yu Xu, Xiao-Shi Xue, Chao Yang, Fang-Chao Yang, Liang Yang, Ming-Lin Yang, Shan-Qing Ye, Bobing Yeh, Hsien-Chi Yu, Shenghua Zhai, Dongsheng Zhang, Caishi Zhang, Haitao Zhang, Jian-dong Zhang, Jie Zhang, Lihua Zhang, Xin Zhang, Xuefeng Zhou, Hao Zhou, Ming-Yue Zhou, Ze-Bing Zhu, Dong-Dong Zi, Tie-Guang Luo, Jun TianQin Research Center for Gravitational Physics & School of Physics and Astronomy Sun Yat-sen University (Zhuhai Campus) Zhuhai 519082 P.R. China Centre for Gravitational Experiments School of Physics MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics PGMF Huazhong University of Science and Technology Wuhan 430074 P.R. China SISSA Via Bonomea 265 34136 Trieste Italy and INFN Sezione di Trieste & IFPU – Institute for Fundamental Physics of the Universe Via Beirut 2 34014 Trieste Italy Former Faculty Politecnico di Torino Corso Duca degli Abruzzi 24 10129 Torino Italy Yunnan Observatories Chinese Academy of Sciences Kunming 650011 China School of Physical Science and Technology Southwest University Chongqing 400715 China Beijing Institute of Control Engineering Beijing 100094 P.R. China SUPA School of Physics and Astronomy University of Glasgow Glasgow G12 8QQ UK DFH Satellite Co. Ltd. Beijing 100094 P.R. China National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 China School of Astronomy and Space Science University of Chinese Academy of Sciences Beijing 100049 China School of Physics and Astronomy University of Birmingham Birmingham B15 2TT United Kingdom Center for High Energy Physics & Department of Physics and State Key Laboratory of Nuclear Physics and Technology Peking University No. 5 Yiheyuan Rd Beijing 100871 P.R. China Lomonosov Moscow State University Sternberg Astronomical Institute Moscow 119992 Russia Dipartimento di Fisica “G. Occhialini” Universitá degli Studi Milano Bicocca Piazza della Scienza 3 I-20126 Milano Italy School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai 200240 China Purple Mountain Observatory Chinese Academy of Sciences Nanjing 210023 & School of Astronomy and Space Science University of Science and Technology of China Hefei Anhui 230026 P.R. China Max-Planck-Institut für Gravitationsphysik (Al

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Vehicle license plate image segmentation system using cellular neural network optimized by adaptive fuzzy and Neuro-Fuzzy algorithms

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous engineering 2016年第12期11卷 383-400页

作者： Rahmat, Basuki Joelianto, Endra Ketut Eddy Purnama, I. Purnomo, Mauridhi Hery Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia Department of Informatics Engineering Faculty of Industrial Technology Universitas Pembangunan Nasional Veteran Jawa Timur Surabaya60294 Indonesia Instrumentation and Control Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung40132 Indonesia

Vehicle License Plate Images Segmentation is a substantial stage for developing an Automatic License Plate Recognition (ALPR) system. In this paper, it is considered an efficient segmentation algorithm for extracting vehicle license plate images using Cellular Neural Networks (CNN). The learning CNN templates values are formulated as an optimization problem to achieve the desired performances which can be found by means of Adaptive Fuzzy (AF) algorithm and Neuro-Fuzzy (NF) algorithm techniques. The main objective of the paper is to compare the performances of standard CNN, Adaptive Fuzzy (AF), and Neuro-Fuzzy (NF) on real data of several vehicle license plate images of standard Indonesia License Plates. The results are then compared with ideal vehicle license plate images. Quantitative analysis between ideal vehicle license plate images and segmented vehicle license plate images is presented in terms of Peak signal-to-noise ratio (PSNR), Mean Squared Error (MSE) and Root Mean Squared Error (RMSE). From the performance analysis, the CNN template optimized by ANFIS algorithm is more recommended than the standard CNN edge detector or the CNN template optimized by Adaptive Fuzzy algorithm in vehicle license plate image segmentation. It is shown from the calculation that PSNR is 80% better than the standard CNN, and the resulted MSE and RMSE are 70% better than the standard CNN. Whereas the CNN template optimized by Adaptive Fuzzy algorithm achieves the PSNR 90% better than the standard CNN, but it yields the MSE and RMSE 40% worse than the standard CNN. © 2016 SERSC.

关键词： Signal to noise ratio

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A dynamic co-evolution compact genetic algorithm for E/T problem

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IFAC-PapersOnLine 2015年第28期48卷 1439-1443页

作者： Han, Zhonghua Zhu, Yihang Lin, Shuo Faculty of Information and Control Engineering Shenyang Jianzhu University Department of Digital Factory Shenyang Institute of Automation Key Laboratory of networked control system Shenyang China Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang China

In this paper, a dynamic co-evolution compact genetic algorithm (DCCGA) is proposed for flexible flow shop scheduling problem (FFSP) to minimize the total earliness and tardiness (E/T) penalties. In this new algorithm, a dynamic co-evolution mechanism containing two probabilistic models and a best individual inheritance strategy are integrated into the compact genetic algorithm (CGA). For improving the stability of the evolutionary trend in the evolution processes, the diversity of evolution trend and the convergence speed. Lastly, the experimental results show that, DCCGA outperforms CGA by 11.74% on the problem we study. © 2015

关键词： Genetic algorithms Machine shop practice Co evolution Compact genetic algorithm Earliness tardiness Flexible flow shop Probabilistic models

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Micro-scratching tests of a rolled aluminium alloy AA2024-T351 thick plate using a diamond micro-blade

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IOP Conference Series: Materials Science and engineering 2017年第1期174卷

作者： E Pirva A Tudor A Gavrus G Chisiu N Stoica A Predescu Machine Elements and Tribology Department Faculty of Mechanical Engineering and Mechatronics University POLITEHNICA of Bucharest 313 Independentei Street Bucharest Romania Mechanical and Control System Engineering Departament Mechanical and Civil Engineering Laboratory LGCGM-EA3913 INSA Rennes France

The present research work is focused on investigating the apparent coefficient of abrasive friction of a rolled thick plate of an AA2024-T351 aluminium alloy, using micro-scratch tests. For this study, specific materials specimens and a particular UMT Micro-Scratch Equipment were used. The test involved the generation of a scratch process at a local scale using a diamond stylus (micro-blade defined by a radius of 0.8 μm) moving along a specified path under a constant normal force (10 N) and with a constant speed (0.2 mm/s). For the characterization of the surface quality, two orthogonal directions were considered: the longitudinal one, along the rolling direction, and the corresponding transversal one. Given the fractal nature of the surface, an investigation was done in order to assess its influence on the coefficient of abrasive friction. The fractal dimension Df, one of the most important parameters in a fractal surface analysis, was used to determine this influence in the global friction and abrasion phenomena. The abrasion factor was calculated using the Zum Gahr method for the data obtained with a specialized Mitutoyo SJ-301 surface tester. Measurements were made at the beginning, middle and at the end of the scratch channel. The obtained value for the abrasion factor was slightly less than zero. Other influences of anisotropic material features on global abrasion effects were also analyzed via comparisons of the coefficients of abrasive friction for both static and kinematic conditions.

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