Intelligent Techniques for Simulation and Modelling

Mathematical Problems in Engineering

Intelligent Techniques for Simulation and Modelling Guest Editors: William Guo, Chih-Cheng Hung, Ross Shepherd, Zhiqiang Ma, and Siddhivinayak Kulkarni

Intelligent Techniques for Simulation and Modelling


Intelligent Techniques for Simulation and Modelling Guest Editors: William Guo, Chih-Cheng Hung, Ross Shepherd, Zhiqiang Ma, and Siddhivinayak Kulkarni

Copyright © 2014 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in “Mathematical Problems in Engineering.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Editorial Board M. Abd El Aziz, Egypt E. M. Abdel-Rahman, Canada R. K. Abu Al-Rub, USA Sarp Adali, South Africa Salvatore Alfonzetti, Italy Igor Andrianov, Germany Sebastian Anita, Romania W. Assawinchaichote, Thailand Erwei Bai, USA Ezzat G. Bakhoum, USA José M. Balthazar, Brazil R. K. Bera, India C. Bérenguer, France Jonathan N. Blakely, USA Stefano Boccaletti, Spain Stephane P.A. Bordas, USA Daniela Boso, Italy M. Boutayeb, France Michael J. Brennan, UK Salvatore Caddemi, Italy Piermarco Cannarsa, Italy Jose E. Capilla, Spain Carlo Cattani, Italy M. M. Cavalcanti, Brazil Diego J. Celentano, Chile Mohammed Chadli, France Arindam Chakraborty, USA Yong-Kui Chang, China Michael J. Chappell, UK Kui Fu Chen, China Xinkai Chen, Japan Kue-Hong Chen, Taiwan Jyh-Horng Chou, Taiwan Slim Choura, Tunisia C. Cruz-Hernandez, Mexico Swagatam Das, India Filippo de Monte, Italy Antonio Desimone, Italy Yannis Dimakopoulos, Greece Baocang Ding, China Joao B. R. Do Val, Brazil Daoyi Dong, Australia B. Dubey, India Horst Ecker, Austria M. Onder Efe, Turkey

Elmetwally Elabbasy, Egypt A. El´ıas-Zún˜ iga, Mexico Anders Eriksson, Sweden Vedat S. Erturk, Turkey Moez Feki, Tunisia Ricardo Femat, Mexico Robertt A. Valente, Portugal C. Fuerte-Esquivel, Mexico Zoran Gajic, USA Ugo Galvanetto, Italy Furong Gao, Hong Kong Xin-Lin Gao, USA Behrouz Gatmiri, Iran Oleg V. Gendelman, Israel Didier Georges, France P. Gonçalves, Brazil Oded Gottlieb, Israel Fabrizio Greco, Italy Quang Phuc Ha, Australia M. R. Hajj, USA Tony S. W. Hann, Taiwan Thomas Hanne, Switzerland K. R. (Stevanovic) Hedrih, Serbia M.I. Herreros, Spain Wei-Chiang Hong, Taiwan Jaromir Horacek, Czech Republic Huabing Huang, China Chuangxia Huang, China Gordon Huang, Canada Yi Feng Hung, Taiwan Hai-Feng Huo, China Asier Ibeas, Spain Anuar Ishak, Malaysia Reza Jazar, Australia Zhijian Ji, China Jun Jiang, China J. J. Judice, Portugal Tadeusz Kaczorek, Poland Tamas Kalmar-Nagy, USA Tomasz Kapitaniak, Poland Hamid Reza Karimi, Norway Metin O. Kaya, Turkey Nikolaos Kazantzis, USA Farzad Khani, Iran K. Krabbenhoft, Australia

Ren-Jieh Kuo, Taiwan Jurgen Kurths, Germany Claude Lamarque, France Usik Lee, Korea Marek Lefik, Poland Stefano Lenci, Italy Roman Lewandowski, Poland Shanling Li, Canada Ming Li, China Jian Li, China Shihua Li, China Teh-Lu Liao, Taiwan Panos Liatsis, UK Shueei M. Lin, Taiwan Yi-Kuei Lin, Taiwan Jui-Sheng Lin, Taiwan Yuji Liu, China Wanquan Liu, Australia Bin Liu, Australia Paolo Lonetti, Italy V. C. Loukopoulos, Greece Junguo Lu, China Chien-Yu Lu, Taiwan Alexei Mailybaev, Brazil M. K. Maiti, India O. D. Makinde, South Africa R. Martinez-Guerra, Mexico Driss Mehdi, France Roderick Melnik, Canada Xinzhu Meng, China Yuri V. Mikhlin, Ukraine G. Milovanovic, Serbia Ebrahim Momoniat, South Africa Trung Nguyen Thoi, Vietnam Hung Nguyen-Xuan, Vietnam Ben T. Nohara, Japan Sotiris K. Ntouyas, Greece Gerard Olivar, Colombia Claudio Padra, Argentina Bijaya Ketan Panigrahi, India Francesco Pellicano, Italy Matjaz Perc, Slovenia Vu Ngoc Phat, Vietnam M. do Rosário Pinho, Portugal A. Pogromsky, The Netherlands

Seppo Pohjolainen, Finland Stanislav Potapenko, Canada Sergio Preidikman, USA Carsten Proppe, Germany Hector Puebla, Mexico Justo Puerto, Spain Dane Quinn, USA K. R. Rajagopal, USA Gianluca Ranzi, Australia Sivaguru Ravindran, USA G. Rega, Italy Pedro Ribeiro, Portugal J. Rodellar, Spain R. Rodriguez-Lopez, Spain A. J. Rodriguez-Luis, Spain Ignacio Romero, Spain Hamid Ronagh, Australia Carla Roque, Portugal R. R. Garc´ıa, Spain Manouchehr Salehi, Iran Miguel A. Sanjuán, Spain Ilmar F. Santos, Denmark Nickolas S. Sapidis, Greece E. J. Sapountzakis, Greece Bozidar Sarler, Slovenia Andrey V. Savkin, Australia Massimo Scalia, Italy Mohamed A. Seddeek, Egypt A. P. Seyranian, Russia Leonid Shaikhet, Ukraine

Cheng Shao, China Bo Shen, Germany Jian-Jun Shu, Singapore Zhan Shu, UK Dan Simon, USA Luciano Simoni, Italy Grigori M. Sisoev, UK Christos H. Skiadas, Greece Davide Spinello, Canada Sri Sridharan, USA Rolf Stenberg, Finland Changyin Sun, China Jitao Sun, China Xi-Ming Sun, China Andrzej Swierniak, Poland Yang Tang, Germany Allen Tannenbaum, USA Cristian Toma, Romania Irina N. Trendafilova, UK Alberto Trevisani, Italy Jung-Fa Tsai, Taiwan K. Vajravelu, USA Victoria Vampa, Argentina Josep Vehi, Spain Stefano Vidoli, Italy Xiaojun Wang, China Dan Wang, China Youqing Wang, China Yongqi Wang, Germany Cheng C. Wang, Taiwan

Moran Wang, China Yijing Wang, China Gerhard-Wilhelm Weber, Turkey J. S. Witteveen, The Netherlands Kwok-Wo Wong, Hong Kong Ligang Wu, China Zhengguang Wu, China Gongnan Xie, China Wang Xing-yuan, China Xi Frank Xu, USA Xuping Xu, USA Jun-Juh Yan, Taiwan Xing-Gang Yan, UK Suh-Yuh Yang, Taiwan Mahmoud T. Yassen, Egypt Mohammad I. Younis, USA Bo Yu, China Huang Yuan, Germany S.P. Yung, Hong Kong Ion Zaballa, Spain A. M. Zenkour, Saudi Arabia Jianming Zhan, China Xu Zhang, China Yingwei Zhang, China Lu Zhen, China Liancun Zheng, China Jian Guo Zhou, UK Zexuan Zhu, China Mustapha Zidi, France

Contents Intelligent Techniques for Simulation and Modelling, William Guo, Chih-Cheng Hung, Ross Shepherd, Zhiqiang Ma, and Siddhivinayak Kulkarni Volume 2014, Article ID 179457, 3 pages Crop Yield Forecasting Using Artificial Neural Networks: A Comparison between Spatial and Temporal Models, William W. Guo and Heru Xue Volume 2014, Article ID 857865, 7 pages Design and Implementation of Fuzzy Logic Controller for Online Computer Controlled Steering System for Navigation of a Teleoperated Agricultural Vehicle, Prema Kannan, Senthil Kumar Natarajan, and Subhransu Sekhar Dash Volume 2013, Article ID 590861, 10 pages A Sarsa(𝜆) Algorithm Based on Double-Layer Fuzzy Reasoning, Quan Liu, Xiang Mu, Wei Huang, Qiming Fu, and Yonggang Zhang Volume 2013, Article ID 561026, 9 pages Semiphysical Modelling of the Nonlinear Dynamics of a Surface Craft with LS-SVM, David Moreno-Salinas, Dictino Chaos, Eva Besada-Portas, José Antonio López-Orozco, Jesús M. de la Cruz, and Joaqu´ın Aranda Volume 2013, Article ID 890120, 13 pages An Ensemble Method for High-Dimensional Multilabel Data, Huawen Liu, Zhonglong Zheng, Jianmin Zhao, and Ronghua Ye Volume 2013, Article ID 208051, 5 pages BMCloud: Minimizing Repair Bandwidth and Maintenance Cost in Cloud Storage, Chao Yin, Changsheng Xie, Jiguang Wan, Chih-Cheng Hung, Jinjiang Liu, and Yihua Lan Volume 2013, Article ID 756185, 11 pages Structural Attack to Anonymous Graph of Social Networks, Tieying Zhu, Shanshan Wang, Xiangtao Li, Zhiguo Zhou, and Riming Zhang Volume 2013, Article ID 237024, 8 pages A Hyperbolic Tangent Adaptive PID + LQR Control Applied to a Step-Down Converter Using Poles Placement Design Implemented in FPGA, Marcelo Dias Pedroso, Claudinor Bitencourt Nascimento, Angelo Marcelo Tusset, and Maur´ıcio dos Santos Kaster Volume 2013, Article ID 101650, 8 pages New Algorithms for Bidirectional Singleton Arc Consistency, Yonggang Zhang, Qian Yin, Xingjun Zhu, Zhanshan Li, Sibo Zhang, and Quan Liu Volume 2013, Article ID 904768, 10 pages Machine Directional Register System Modeling for Shaft-Less Drive Gravure Printing Machines, Shanhui Liu, Xuesong Mei, Jian Li, and Li’e Ma Volume 2013, Article ID 251636, 10 pages

An Efficient Schema for Cloud Systems Based on SSD Cache Technology, Jinjiang Liu, Yihua Lan, Jingjing Liang, Quanzhou Cheng, Chih-Cheng Hung, Chao Yin, and Jiadong Sun Volume 2013, Article ID 109781, 9 pages Opposition-Based Animal Migration Optimization, Yi Cao, Xiangtao Li, and Jianan Wang Volume 2013, Article ID 308250, 7 pages Time-Domain Joint Parameter Estimation of Chirp Signal Based on SVR, Xueqian Liu and Hongyi Yu Volume 2013, Article ID 952743, 9 pages Multiscale Feature Model for Terrain Data Based on Adaptive Spatial Neighborhood, Huijie Zhang, Yun Ma, Zhiqiang Ma, Xinting He, Yaxin Liu, and Zijun Feng Volume 2013, Article ID 278754, 12 pages Message Passing Algorithm for Solving QBF Using More Reasoning, Su Weihua, Yin Minghao, Wang Jianan, and Zhou Junping Volume 2013, Article ID 165927, 6 pages A Topology Structure Based Outer Membrane Proteins Segment Alignment Method, Han Wang, Bo Liu, Pingping Sun, and Zhiqiang Ma Volume 2013, Article ID 541359, 10 pages Model Predictive Control Based on Kalman Filter for Constrained Hammerstein-Wiener Systems, Man Hong and Shao Cheng Volume 2013, Article ID 104702, 6 pages Cross-Domain Personalized Learning Resources Recommendation Method, Long Wang, Zhiyong Zeng, Ruizhi Li, and Hua Pang Volume 2013, Article ID 958785, 6 pages The Prediction of Calpain Cleavage Sites with the mRMR and IFS Approaches, Wenyi Zhang, Xin Xu, Longjia Jia, Zhiqiang Ma, Na Luo, and Jianan Wang Volume 2013, Article ID 861269, 6 pages A New Skeleton Feature Extraction Method for Terrain Model Using Profile Recognition and Morphological Simplification, Huijie Zhang, Zhiqiang Ma, Yaxin Liu, Xinting He, and Yun Ma Volume 2013, Article ID 523729, 16 pages Behavior-Based Fuzzy Control for Mobile Robot Navigation, Hongwei Mo, Qirong Tang, and Longlong Meng Volume 2013, Article ID 561451, 10 pages The Algorithm of Link Prediction on Social Network, Liyan Dong, Yongli Li, Han Yin, Huang Le, and Mao Rui Volume 2013, Article ID 125123, 7 pages

A Novel Framework Based on ACO and PSO for RNA Secondary Structure Prediction, Gang Wang, Wen-yi Zhang, Qiao Ning, and Hui-ling Chen Volume 2013, Article ID 796304, 8 pages Identification of Protein Pupylation Sites Using Bi-Profile Bayes Feature Extraction and Ensemble Learning, Xiaowei Zhao, Jian Zhang, Qiao Ning, Pingping Sun, Zhiqiang Ma, and Minghao Yin Volume 2013, Article ID 283129, 7 pages Sliding Mode Control for NSVs with Input Constraint Using Neural Network and Disturbance Observer, Yan-long Zhou and Mou Chen Volume 2013, Article ID 904830, 12 pages An Abstract Description Method of Map-Reduce-Merge Using Haskell, Lei Liu, Dongqing Liu, Shuai Lü, and Peng Zhang Volume 2013, Article ID 147593, 12 pages Optimization of 𝑝-Cycle Placement for Differentiated Levels of Protection, Hong Hui Li and Xue Liang Fu Volume 2013, Article ID 920564, 5 pages An Accurate and Efficient Method to Predict Y-NO Bond Homolysis Bond Dissociation Energies, Hong Zhi Li, Lin Li, Zi Yan Zhong, Yi Han, LiHong Hu, and Ying Hua Lu Volume 2013, Article ID 860357, 10 pages Infrared Target Detection and Location for Visual Surveillance Using Fusion Scheme of Visible and Infrared Images, Zi-Jun Feng, Xiao-Ling Zhang, Li-Yong Yuan, and Jia-Nan Wang Volume 2013, Article ID 720979, 7 pages Phase Transitions of Contingent Planning Problem, Junping Zhou, Weihua Su, Zhiqiang Ma, and Minghao Yin Volume 2013, Article ID 687578, 9 pages Reconfigurable Architecture for Elliptic Curve Cryptography Using FPGA, A. Kaleel Rahuman and G. Athisha Volume 2013, Article ID 675161, 8 pages On the Completeness of Pruning Techniques for Planning with Conditional Effects, Dunbo Cai, Sheng Xu, Tongzhou Zhao, and Yanduo Zhang Volume 2013, Article ID 398245, 6 pages

Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2014, Article ID 179457, 3 pages http://dx.doi.org/10.1155/2014/179457

Editorial Intelligent Techniques for Simulation and Modelling William Guo,1 Chih-Cheng Hung,2 Ross Shepherd,1 Zhiqiang Ma,3 and Siddhivinayak Kulkarni4 1

School of Engineering and Technology, Central Queensland University, North Rockhampton, QLD 4702, Australia Center for Biometrics Research, Southern Polytechnic State University, Atlanta, GA 30060-2896, USA 3 College of Computer Science and Information Technology, Northeast Normal University, Changchun, Jilin 130017, China 4 School of Science, Information Technology and Engineering, Federation University, Ballarat, VIC 3353, Australia 2

Correspondence should be addressed to William Guo; [email protected] Received 23 January 2014; Accepted 23 January 2014; Published 26 February 2014 Copyright © 2014 William Guo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Emergence and development of computational intelligence in the last 20 years have broadened the scope of simulation and modelling in many scientific and engineering disciplines. In conjunction with the 2013 International Conference on Information Technology, Computation and Applications (ICITCA2013) held in Hohhot, China on August 6–8, 2013, an open special issue on “Intelligent Techniques for Simulation and Modelling (ITSM)” in Mathematical Problems in Engineering (MPE) was organized for publishing highquality papers selected from both the conference and open submissions. In total, fifty-three papers were submitted to this special issue through MPE’s online submission system by the closure. Contributors were from more than 70 institutions in Australia, Brazil, Canada, China, India, Iran, Mexico, Serbia, Spain, and USA. After rigorous peer review of each of these submissions, thirty-two revised papers were accepted for publishing in this special issue. Depending on the completion time of revision and final editing, these papers have been published progressively since September 2013. An engineering or a scientific problem is often based on some physical natures. To solve such a problem, we need to formulate the problem as a mathematical model in terms of variables, functions, and equations. The process of creating such a model, solving it, and interpreting the result in physical, chemical, geometric, engineering, or other terms is modelling. Such a model is likely comprised of a number of unknown factors, such as temporal and spatial constraints. By varying one or more of these unknown factors within the limits, different outcomes can be generated from the mathematical model and/or solution. These outcomes

correlate to different physical, chemical, geometric, engineering scenarios. This model-based iterative mathematical computation is simulation. Modelling and simulation are two different but closely related approaches in many disciplines, which are illustrated in Figure 1 [1]. Many techniques play important roles in the stages of finding solutions for and interpreting the solutions for different purposes from the simulation and modelling process. Commonly used techniques in simulation and modelling include statistics, intelligent methods, numeric computations, experiments, and combinations [2–6]. Popular and emerging applications of simulation and modelling include systems control, forecasting, scheduling or planning, network security, and various optimizations [7–10]. All these techniques and applications are found in the 32 accepted papers in this special issue. Categorically, there are six papers in adaptive or optimal control of various systems. Pedroso et al. presented an adaptive control that integrates two linear control strategies for the stepdown converter. Hong and Cheng designed a predictive control algorithm based on the Kalman filter for constrained Hammerstein—Wiener systems. Liu et al. studied the mathematical model of the machine directional register system for the multicolor gravure printing machines in order to improve the control accuracy of the register system. Mo et al. presented a new behavior-based fuzzy control method for mobile robot navigation which can deal with uncertainties in unknown environments and has the ability to accommodate different behaviors. Prema et al. described the design, modeling, simulation, control, and implementation of an

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Physical system

∙ ∙ ∙ ∙ ∙

Statistics Intelligent computation Numeric computation Experiments Hybrid approach

Mathematical model

Solution Change parameters

∙ ∙ ∙ ∙ ∙

System/process control Prediction/detection Scheduling/planning Cryptography/security Optimization

Physical interpretation Simulation Outcome

Modelling

Figure 1: The procedure of modelling and simulation (modified from [1]).

intelligent system for controlling the teleoperated agricultural vehicle. Zhou and Chen proposed a sliding mode control scheme for near space vehicles with strong nonlinearity, high coupling, parameter uncertainty and unknown time-varying disturbance based on radial basis function neural networks (RBFNNs) and the nonlinear disturbance observer. The five papers in scheduling, planning, and resources allocation include the paper on a new pruning strategy for search based planning and its realisation through numeric approximation by Cai et al., the paper on a new algorithm for phase transitions of the planning problem by Zhou et al., the paper on crop yield forecasting using neural network models by Guo and Xue, the paper on a new similarity-based link prediction algorithm for social networks by Dong et al., and the paper on a new method for learning resources allocation or recommendation by Wang et al. There are nine papers that proposed new algorithms for feature detection, extraction, or reconstruction in digital data and image processing contributed by Feng et al., Zhao et al., Wang et al., Zhang et al., Wang et al., Li et al., Zhang et al., Liu et al., and Su et al., respectively. The four papers in encryption and security in digital data storage and communication networks are contributed by Zhu et al. on an effective structural attack to deanonymize social graph data on social networks, Rahuman and Athisha on a new reconfigurable architecture for elliptic curve cryptography using FPGA, Li and Fu on a new scalable model for the design of p-cycles with the differentiated levels of node protection for communication networks, and Yin et al. on a new efficient cloud storage system to protect and recover data in cloud environment. The remaining eight papers in optimization algorithms for various applications were contributed by Liu et al., Liu et al., Wang et al., Liu et al., Moreno-Salinas et al., Zhang et al., and Liu and Yu, respectively. All these papers have made new contributions to the broad area of modelling and simulation.

Acknowledgments We are grateful to all authors and reviewers for their contributions to this special issue. William Guo Chih-Cheng Hung Ross Shepherd Zhiqiang Ma Siddhivinayak Kulkarni

References [1] W. W. Guo, Advanced Mathematics for Engineering and Applied Sciences, ” Pearson, Melbourne, Australia, 2014. [2] D. Bradford and C. C. Hung, “Pollen-based bee algorithm for data clustering-a computational model,” Progress in Intelligent Computing and Applications, vol. 1, no. 1, pp. 16–36, 2012. [3] T. Kohonen, Self-Organizing Maps, Springer, New York, NY, USA, 2001. [4] R. Shepherd, T. Meuwissen, and J. Woolliams, “Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers,” BMC Bioinformatics, vol. 11, pp. 529–541, 2010. [5] M. M. Li, W. Guo, B. Verma, K. Tickle, and J. O’Connor, “Intelligent methods for solving inverse problems of backscattering spectra with noise: a comparison between neural networks and simulated annealing,” Neural Computing and Applications, vol. 18, no. 5, pp. 423–430, 2009. [6] C. C. Hung, S. Kulkarni, and B. C. Kuo, “A new weighted fuzzy C-means clustering algorithm for remotely sensed image classification,” IEEE Journal on Selected Topics in Signal Processing, vol. 5, no. 3, pp. 543–553, 2011. [7] X.-S. Yang, Engineering Optimization, Wiley, New York, NY, USA, 2010. [8] G. Dong, W. W. Guo, and K. Tickle, “Solving the traveling salesman problem using cooperative genetic ant systems,” Expert Systems with Applications, vol. 39, no. 5, pp. 5006–5011, 2012.

Mathematical Problems in Engineering [9] E. K. P. Chong and S. H. Zak, An Introduction to Optimization (3rd Edition), Wiley, New York, NY, USA, 2008. [10] F. Giordano, W. P. Fox, and S. Horton, A First Course in Mathematical Modeling (5th Edition), Cenerge Learning, Stamford, Conn, USA, 2014.

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