Conference Program of WCICA 2012

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Conference Program WCICA 2012 Intelligent Test Paper Generation System Based on Slicing Processing, pp.506–511 Ma, Fengning Dong, Yao Shi, Jin Zhang, Ying Tianjin Univ. Hebei Univ. of Tech. Hebei Univ. of Tech. Tianjin Univ. nowadays, paperless test is very popular in the universities. The classical test paper generating methods have not satisfied the increasing test requirement. So, an intelligent test paper generating algorithm based on the slicing processing is proposed, which classifies the indexes, such as the type and amount of questions, the knowledge point, difficulty and discrimination of the test paper, with the value type and flexible feature. The actual application indicates that the method has a balance between the success ratio and efficiency, and provides the theory evidence for the efficient intelligent test paper generation system. ◁ PFrA-90 An improved Transfer Learning Algorithm for Document categorization Based on data sets reconstruct, pp.575–578 Sun, Wei Qian, Xu China Univ. of Mining & Tech.(Beijing) School of Mechanical Electronic & Information Engineering, China Univ. of Mining & Tech. (Beijing) Traditional machine learning and data mining algorithms usually assume that the training and test data have the same feature space and data distribution, but in the real application this assumption is often d- ifficult to establish, and always lead the existing model to outdate. As a new learning mechanism, transfer learning can solve this problem effectively, in this paper, we will propose an improved transfer learning algorithm for document categorization based on data sets reconstruct, we also describe the main idea and the step of the algorithm, then use experiment to test the algorithm and compare it with other algorithms, the result of experiment proves the algorithm we proposed in this paper is better than the others in some extent. ◁ PFrA-91 A New Ant Colony Optimization with Global Exploring Capability and Rapid Convergence, pp.579–583 Deng, Xiangyang Yu, Wenlong Zhang, Limin Naval Aeronautical & Astronautical Univ. Naval Aeronautical & Astronautical Univ. Naval Aeronautical & Astronautical Univ. Ant colony optimization (ACO) is a meta-heuristic algorithm, and is widely applied in combinatorial optimization. To enhance the ACO’s global exploiting capability and convergence, a new pheromone update strategy is presented, which results in a gradually transition of the ant colony’s diversity, and an improved ACO algorithm called ACO+ is proposed. For a solution to the traveling salesman problem (TSP), a s- tatistical model of traversed ants of sub-routes is introduced to rank the sub-routes, and an adaptive pheromone trails update mechanism is implemented, which integrates with the iteration-best pheromone update strategy. The algorithm can effectively combine the global exploring capability and convergence rate. Experiments show that the ACO+ has a good performance and robustness. ◁ PFrA-92 Study on Control Strategy for Vehicle Braking Force on Low Adhesive Cornering Road, pp.618–622 Song, Dandan Yang, Tao Henan Communication Vocational Tech. Henan Communication Vocational Tech. Along with reducing the centrifugal force based on decreased speed using vehicle braking, the maximum lateral force of the wheel could bear diminishing gradually. In this paper, the deficiency of vehicle’s anti-lock braking system on cornering road is analyzed, a control strategy of vehicle braking on low adhesive cornering road is presented, vehicle’s ABS and the biggest lateral force of the wheel could bearing when vehicle occur side slip are comprehensive considered, and the maximum braking force applied to vehicle can be determined according to relatively small value of both. Simulation shows the validity of the proposed control method. ◁ PFrA-93 A Novel Prototype Architecture for Equipment Tele-control and Simulation, pp.633–637 Wang, Yong Ming Zhao, Guang Zhou Yin, Hong Li Kunming Univ. of Sci. & Tech. Kunming Univ. of Sci. & Tech. Yunnan Normal Univ. Due to the working hazardous or other conditions, such as tele-medical, tele-embodiment, operations should be executed with a fully remote control and monitoring. So, tele-control and reality simulation are crucial in these environments. However, there exists a lack of an effective system architecture that integrates remote condition monitoring and control of automated equipment; that give much consideration about data transfer time delay via TCP/IP data package. This paper presented a novel prototype architecture for tele-control and reality simulation, which can guarantee the non-distortion-transfer of control information and reduce the action time difference between local simulated virtual equipment and remote real equipment, couple the remote control and virtual reality together. In order to demonstrate and validate the effectiveness of the novel architecture, a 3 DOF Fischertechnik industry robot remote operation and monitoring system have been developed. Experimental results are encouraging and demonstrate a promising application in any other relevant environment. ◁ PFrA-94 Keep the Geometries: Image Segmentation by K-MSVC with Random Region Grouping and Propagation, pp.672–679 LIN, Yining Wei, Wei DAI, Yuanming Zhejiang Univ. College of Electrical Engineering, Zhejiang Univ. Zhejiang Univ. We propose new techniques to address low-level image segmentation problem under clustering theory. The goal of this paper is to provide a compromised solution between methods that produce two different kinds of segmentation results: one generates coherent regions but views disjoint regions as totally different objects, and the others do not consider the spatial relationship at all. For our approach, spatial geometries are partially preserved and disjoint regions are also allowed to be grouped into a single cluster. The approach is built on the feature space clustering algorithm called K-MSVC, but constrained by the graph to maintain the capability of partially preserving the spatial coherence. A new type of graph called Random Grouping Graph (RGG) is introduced then, to overcome the high computational cost on the gridgraph based image representation. It’s fast to construct, greatly reduce the graph size and can speedup other graph-based segmentation algorithms. Though with less vertices, the segmentation on RGG works better than on downsampled version of the image. Nontrivial experimental results on the Berkeley Segmentation Dataset demonstrate that our method outperforms the existing algorithms and yields more satisfactory results. ◁ PFrA-95 Routing in Wireless Sensor Networks Using Swarm Intelligence, pp.680–684 Lv, Yong JiaXing Univ. Wireless Sensor Networks consisting of nodes with limited power are deployed to collect and distribute useful information from the field to the other sensor nodes. Energy consumption is a key issue in the sensor’s communications since many use battery power, which is limited. The sensors also have limited memory and functionality to support communications. Ant Colony Optimization, a swarm intelligence based optimization technique, is widely used in network routing. This paper describes a new routing approach for Wireless Sensor Networks consisting of stable nodes based an Ant Colony Optimization algorithm that explore the network and learn good routes, using a novel variation of reinforcement learning. Simulation results show that proposed algorithm provides promising solutions allowing node designers to efficiently operate routing tasks. 122
WCICA 2012 Book of Abstracts: Friday Sessions Chair: Lin, Zongli Co-Chair: Hou, Zhongsheng Poster Session PFrB July 6, 15:00-16:20 Univ. of Virginia Beijing Jiaotong Univ. ◁ PFrB-01 Reliable H ∞ filtering in low-frequency domain for networked control systems subject to packet loss and quantization, pp.1670–1675 Wang, Heng Long, Yue Ye, Dan Beijing Univ. of Tech. Northeastern Univ. Northeastern Univ. This paper studies the problem of reliable H ∞ filtering for networked control systems (NCSs) subject to packet loss and quantization in lowfrequency domain. By considering the influences of quantization, packet losses and possible sensor stuck failures, the NCSs are modeled as discrete-time switched systems with constant delays. Subsequently, an analysis condition to capture low-frequency specifications is presented. With the aid of the derived condition, a procedure of reliable filter synthesis is given in terms of linear matrix inequalities (LMIs). Finally, an example is given to illustrate the effectiveness of the proposed method. ◁ PFrB-02 An Included Angle Gridding Algorithm for Multimodel Decomposition of Hammerstein Systems with Input Multiplicity, pp.1745–1749 Du, Jingjing Zhang, Xinliang Song, Chunyue Henan Polytechnic Univ. Henan Polytechnic Univ. Zhejiang Univ. This paper proposes an included angle gridding algorithm for Hammerstein systems with input multiplicity for which the common nonlinearity inversion control method can not be used. Different from the common gridding method, the included angle gridding algorithm takes the nonlinearity of a Hammerstein system into account so that the efficiency of the consequent multimodel decomposition can be improved largely. Based on the decomposition result, a Multi-PI controller is designed. Simulations demonstrate the effectiveness of the proposed gridding algorithm. ◁ PFrB-03 Nonlinear Iterated Mappings based Model and Tracking Control of Boost Converter, pp.1838–1843 Bin, Yang Dong, Haolong Feng, Nenglian Univ. of Wisconsin Milwaukee BJUT BJUT On account of the inductance current continuous conduction mode boost converter, a approximate discrete time nonlinear model is proposed in this paper on the basis of the nonlinear iterated mappings method. Then, an exact feedback linearization method over the discrete time nonlinear system is introduced, in order to deduce a partial linearized form. Utilizing this form, a control algorithm is derived according to the pole placement. The simulation results indicate that the performance of the proposed control algorithm presents a fast dynamic response, an accurate tracking feature and a strong robustness towards the disturbance from the input voltage. ◁ PFrB-04 Improved results on asymptotic stability criteria for neutral neural network, pp.1893–1898 Wu, Xueli Li, Yang Hou, Lifeng Wang, Yuehua Hebei Univ. of Sci. & Tech. Hebei Univ. of Sci. & Tech. Hebei Univ. of Sci. & Tech. Hebei Chemical & Pharmaceutical Tech. College The stability of constant delay neutral neural network dynamic system is studied in this paper. A new Lyapunov functional method is proposed. The method can solve the problem which stability of constant delay neutral neural network dynamic system. ◁ PFrB-05 Improved results on exponential stability criteria for neutral neural network, pp.1899–1903 Zhao, Zhe Hebei Univ. of Sci. & Tech. Zhen, Ran Wei, Shaoqing Wang, Yuehua Hebei Univ. of Sci. & Tech. Hebei Univ. of Sci. & Tech. Hebei Chemical & Pharmaceutical Tech. College Dynamical behavior of neutral neural networks with distributed delays is studied by employing suitable Lyapunov functional, delay-dependent criteria to ensure local and global asymptotic stability of the equilibrium of the neural networks. Our results are applied to classical neutral neural networks with time delay and some novel asymptotic stability criteria are also derived. The obtained conditions are shown to be less conservative and restrictive than those reported in the known literature. ◁ PFrB-06 Parallel Rail Transit System Based on ACP Approach, pp.2048–2053 Dong, Xisong XIONG, Gang Dong, Fan Lv, Yisheng Sun, Xubin Inst. of Automation, Chinese Acad. of Sci., Inst. of Automation,Chinese Acad. of Sci. CAISA Institue of Automation, Chinese Acad. of Sci. Beijing Jiaotong Univ. This paper presents a novel parallel system for Rail Transit based on ACP approach (Artificial systems, Computational experiments, Parallel execution), which is proposed to address issues on safety, efficiency and reliability of their operation and optimization. Firstly, the construction of dynamic, overall and real Artificial Rail Transit Systems and their demonstration are provided. Then, based on these systems, the platform, content and analysis of computational experiments and comprehensive evaluation system are researched. Finally, parallel control and management of the actual systems via parallel execution can be achieved. By Parallel Rail Transit Systems, a set of recommendations and strategies of railway can be formed, which would improve the overall functionality of the comprehensive transportation system. ◁ PFrB-07 Working Process Simulation of Roll Forming Machine Based on Virtual Reality Technology, pp.2072–2075 Wang, Dong Cao, Yuchao Zhang, Tuo Qin, Shoutong zhengzhou Univ. Zhengzhou Univ. Zhengzhou Univ. zhengzhou Univ. Taking the virtual reality development software-Open Inventor as platform, the three-dimensional models are created by using Solidworks software. Based on the great engine mechanism of Open Inventor development platform, the gear’s meshing transmission and the Chain wheel’s rotation are realized by SoRotor node. The simulation is realized by programming on the VC++ development platform programming, and the complex working process of roll forming machine is simulated and displayed by programming, which give a better virtual demonstration. The simulation lays the foundation for the future working process simulation. ◁ PFrB-08 An Agricultural Irrigation System Based on GIS and RFID, pp.2076– 2080 Wang, Hui Li, Juan Zhao, You-gang Jiang, Zhongmin Qingdao Agricultural Univ. Qingdao Agricultural Univ. Qingdao Agricultural Univ. Qingdao Agricultural Univ. To solve the serious problem of water waste for agricultural irrigation in our country, an agricultural irrigating system is developed by combining GIS with RFID which charges according to water flow. The system implements the quantitative charge and automatic accounting by AT89S52 micro-controller, RF card and MF RC500 as its core components; and implements the visualized management which can display the irrigation condition in specific area and quantitative information of user’s water consumption by utilizing the GIS and SQL DB. This system helps to overcome the problem of single performance and incompatibility of devices, as well as the unavailability of sharing data etc. The system has simple operation, friendly interface, and high performanceprice ratio, which can be widely applied in irrigation areas and irrigation 123
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WCICA 2012 The 10 th World Congress
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