Conference Program of WCICA 2012

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Conference Program WCICA 2012 the Mountain Top measure data to validate these reduced-rand STAP technique. Theory analysis and simulation results all show that those schemes can make the residual power least, and reduce computational burden. ◁ PSaB-51 Large Current Measurements Using a Fibre Optics Current Sensor, pp.4337–4340 Wang, Li Hebei Univ. of Tech. An optical ac-current sensor of vast range and high accuracy is designed based on magnetostriction effect and fiber-loop cavity ring-down technique. The model of the sensor quantified the coupling mechanisms among the current, magnetic field, strain and ring-down time of the fiber loop is proposed. The simulation result according to the model shows that both the sensitivity and the measurement range dependent on mechanical prestress and the sensor can measure current over 50kA with an accuracy of 0.2%. This result can provide the theoretical foundation for development of new current sensor with high-sensitivity ◁ PSaB-52 An Optimal Parking Space Search Model Based on Fuzzy Multiple Attribute Decision Making, pp.4350–4355 Yu, Shouyuan Shenzhen Inst.s of Advanced Tech.,Chinese Acad. of Sci. LI, Baopu Zhang, Qi Meng, Max, Q.-H. The Chinese Univ. of Hong Kong Shenzhen Inst.s of Advanced Tech. The Chinese Univ. of Hong Kong This paper proposes a new method based on multiple attribute decision making to search for the optimal parking space in a parking lot. The advantages and limits of different kinds of property weights are investigated in this paper. By improving the limits of subjective weight and combining subjective weight with objective weight, we get an integrated weight. Using this hybrid weight, we introduce how to apply multiple attribute decision making to search for the optimal parking space. Experiments show that this method has a satisfying performance and can find the real-time optimal parking space. The proposed method can be applied to city parking guidance and information system. ◁ PSaB-53 A New Method to Eliminate Negative Frequency Interference Based on Wavelet Transformation and Grey Correlation Theory, pp.4356–4361 Mao, Yuwen Tu, Yaqing Yang, Huiyue Logistical Engineering Univ. Logistical Engineering Univ. Univ. of logistical enginering As for the common low-frequency roll vibration signals in the fields of mechanical vibration and fault diagnosis, the negative frequency interference is an important factor to influence the precision of spectrum analysis and correction. In order to eliminate the negative frequency interference, a new method for the analysis and correction of extremely low frequency signal based on wavelet transformation and grey correlation theory is presented. First, the original signal is constructed as a s- tandard reference sequence. Second, the original signal is transformed via one-dimensional wavelet transformation to calculate the grey correction degree between transformed signal components and the standard reference sequence, by which the grey correction sequence can be obtained. The value of the grey correction degree of negative frequency interference components is small, so the negative frequency interference components can be picked out as ”useless ingredients”. At last, the remaining signal components are reconstructed to restore the original signal in which the negative frequency interference has been eliminated. Simulation experiments and verification examples have shown the effectiveness of the proposed method. ◁ PSaB-54 Analysis of Phase Difference Tracking Methods for Signal of Coriolis Mass Flowmeter, pp.4368–4373 Yi, Peng Tu, Yaqing Xie, Min The Logistical Engineering Univ. lLogistical Engineering Univ. The Logistical Engineering Univ. Shen, Ting’ao Logistical Engineering Univ. In order to achieve a high precision flow measurement and to improve its dynamic response speed of the mass flowrate, it is important to calculate the phase difference of the two sensor output signals accurately and to track its variation in time. The phase difference tracking methods in studying Coriolis mass flowmeter at home and abroad are described comprehensively, and seven main methods were summarized firstly, including the method based on digital phase-locked loop, the method based on quadrature demodulation, the method based on discrete Fourier transform, the method based on adaptive notch filtering, the method based on Hilbert transform and etc. Then the basic idea, the advantages and disadvantages of the main methods were analysed and compared. Finally, analysis and prospect in this field were discussed. ◁ PSaB-55 A multi-scale analysis approach to selecting signals related with combustion status, pp.4374–4377 Hao, Zulong North China Electric Power Univ. In order to improve the diagnostic accuracy of boiler combustion status, it is necessary to select more signals related with combustion status than flame signal and furnace pressure signal. However, it is inefficient only using mechanism analysis when selecting because of the complicated input-output mapping relation of boiler combustion. Based on multi-scale analysis, a new method selecting related signal is presented according to the fluctuation similarity of thermal signals. Firstly, components of different frequency ranges are obtained via multi-level wavelet decomposition and reconstruction. Then, correlation coefficients are calculated based on the assumption of fluctuation similarity between components in same frequency range, which can be used to describe the correlation degree of those components. By this method, the signals related with combustion status can be selected through calculating the correlation coefficients of their high frequency components. The calculation results using on-site data prove the validity of the proposed method. ◁ PSaB-56 An Actuator Real-time Placement Algorithm Based on Regular Hexagonal Grid for Wireless Sensor and Actuator Networks, pp.4378–4384 LIU, Xinhua Wuhan Univ. of Tech. Network coverage is one of key issues for designing a practical Wireless Sensor and Actuator Network (WSANs). In view of real-time coverage and convergence of mobility coverage, an actuator real-time placement algorithm based on regular hexagonal grid for WSANs (ARP-RGH) is proposed. In this algorithm, firstly, a regular hexagonal grid plot algorithm is used to choose the idea location of actuators for maximizing the monitoring area coverage of the network from a theoretical perspective; and then, the actuators are spreaded in the form of uniform distribution by a moving algorithm based on virtual forces; at last, according to the ideal location calculated before, the optimal location of actuators is given by real-time coverage rounds algorithm. ARP-RHG algorithm implements the optimal coverage of actuators under real-time coverage constrain conditions, and makes the actuators avoid moving into the holes of sensor distribution. The results of the simulation show that the ARP-RHG algorithm has good coverage and convergence. ◁ PSaB-57 Improved Pattern Amendment Inversion Algorithm for Dust Fast Realtime Measurement, pp.4423–4428 Ma, Fengying Shandong Inst. of Light Industry Due to the low reliability and the bad real-time performance for coal dust concentration measurement, an improved pattern amendment inversion algorithm was presented. The pattern classification was performed according to diffraction angular with dust information to meet various needs of coal mining. Simulation indicates the minimum recognition time is reduced to 0.05 times of that before. Thereupon, transitional patterns were supplemented and the precision increased markedly. But sometimes there was gross error. Therefore, the pattern amend- 186
WCICA 2012 Book of Abstracts: Saturday Sessions ment function was introduced and the eigenvectors of amendment patterns were worked out. A ranking method of the amendment patterns was proposed and the normalized eigenvectors of amendment patterns ranked were stored in advance. During measurement the optimal patterns were recognized in universe and amended in local area according to the principle of the minimum of variance sum. Then the dust content could be inversed with the total light ratio of signal to optimal pattern. Experiments proved the error of total dust and respiring dust declined from 6% to 2% and from 9% to 3%, respectively. It is concluded that the improved algorithm has enhanced the precision and real-time performance of dust sensor remarkably. ◁ PSaB-58 Fault-tolerant Data Aggregating using Median Filtering in Cluster-based Homogeneous WSN, pp.4441–4445 Liu, Shaoqiang Tan, Zongkai Fan, Xiaoping Long, Hui Li, Yongzhou Liu, Limin Central South Univ. Central South Univ. Central South Univ. Central South Univ. automatication institution Central South Univ., Changsha The nodes of Wireless Sensor Network (WSN) easily produce fault sensor readings because of the harsh environment and the energy restriction and so on. To enhance reliability and save energy, this paper proposes a median filter and weighted pseudo-median filter based aggregating method for in-cluster data of homogeneous WSN, which combines fault nodes self-checking and clustering data fusion together. In the aggregating scheme, each node receives the fusion result from the cluster head (CH) and estimates the confidence grade of its measuring result for next aggregation round, if a node is not a fault one, it transmits its confidence grade and filtered measuring value to the CH. Based on the proposed weighting rule of median filter, the CH sets the current weight of each node’s data, which depends on the confidence grade determined by node itself and the current number of nodes to aggregate data in the cluster. The CH computes and outputs the weighted pseudo-median of the received data as the fusion result. The simulation and analysis show that on the premise of minimum redundancy, the proposed method is valid under the circumstance of high fault node rate and the high fusion accuracy is obtained even in the case of a s- mall proportion of communication error or data packet dropout without communication detecting or confirmation. ◁ PSaB-59 A Street Lamp Clustered-control System Based on Wireless Sensor and Actuator Networks, pp.4484–4489 LIU, Xinhua Wuhan Univ. of Tech. In order to resolve the problems of city street lamp control and management, a street lamp clustered-control system based on wireless sensor and network (WSANs) is proposed in this paper. In the system, the related information of vehicles running on the road will be detected by the sensors deploying along the both side of the road, and then the sensing data will be passed to the actuators being equipped on the lamps through multi-hop wireless communication. The actuators gather the information from the sensors and regulate the brightness of the lamp by the distributed and cooperated control algorithm. According the security rulers of driving a vehicle, a certain number of lamps in a security distance before and after the vehicle will be turned on. The street lamp clustered-control system is good at energy saving and validated by the experiment results. ◁ PSaB-60 Research on blind detection of image splicing based on run length matrix combined properties, pp.4545–4550 Liu, Han Xi’an Univ. of Tech. Image splicing is a technique commonly used in image tampering. In order to achieve image splicing blind detection, a blind, passive, yet effective splicing detection method is proposed in this paper. In this method run length matrix is used to extract image feature and generate the identification model with combination of Neighborhood DCT Coefficient Co-occurrence Matrix Feature and Markov Feature. Support vector machines (SVM) also is selected as classifier for training and testing while genetic algorithm is used to optimize parameters based on evaluation criteria AUC. Experimental results show that there is high classification accuracy for obtained model by this method. ◁ PSaB-61 CRM System Design of Financial Equipment Enterprises Based on XM- L , pp.4141–4146 Cui, Wenhua Liu, Xiaobing Wang, Jie-sheng liaoning Sci.&Tech. Univ. Dalian Univ. of Tech. Univ. of Sci. & Tech. Liaoning Based on the characteristics of the financial equipment manufacturing industry and the customer relationship management theory, a customer relationship management system based on the product maintainer is designed. Then the UML modeling method is adopted to design and implement a CRM system after analyzing the functions of the customer relationship management system. Focusing on the production services and the qualify tracing, the system accomplishes the main modules of customers resource management, stock management, product services and quality tracking management. Based on the technologies of XML, Web and .NET and wireless Wap, an XML-based .NET data access model is proposed to implement the information integration and data exchange between CRM system and other systems or heterogeneous databases. ◁ PSaB-62 An improved particle swarm optimization based on wolves’ activities circle, pp.4557–4562 Wei, Bin Xi’an Jiaotong Univ. Recently nature-inspired algorithms have attracted a lot of attentions. Particle swarm optimization (PSO) is one of the most successful natureinspired algorithms. However, studies showed that PSO has some drawbacks such as easy to fall into the local optimum and slow convergence rate in the later iterations. In this paper, inspired by the wolves’ activities circle we propose a novel PSO (named PSO WOLVES). The PSO WOLVES was tested on eight benchmark functions and compared with three modified PSO, and the results showed that our algorithm not only has better search ability but also has faster convergence speed. ◁ PSaB-63 A New Color Image Sharing Scheme with Natural Shadows , pp.4568– 4573 Chiu, Pei-Ling Lee, Kai-Hui Peng, K.-W. Cheng, S.-Y. Ming Chuan Univ. Ming Chuan Univ. Ming Chuan Univ. Ming Chuan Univ. Conventional visual secret sharing (VSS) schemes generate noiselike random pixels on shares to hide secret images. However, these schemes suffer from two problems, one related to security and one related to management. First, the noise-like shares arouse suspicion, which leads to security problems for participants who are involved in a VSS scheme. Second, participants cannot visually identify each share, especially if they hold more than one share simultaneously, which leads to the management problem. To address the management problem previous researchers developed extended visual cryptography schemes that add a meaningful cover image on each share. Generally, however, these approaches introduce a more serious pixel expansion problem than conventional VSS schemes. In addition, there are still many noiselike shares, which do not effectively reduce the security problems. This paper proposes a natural-image-based secret image sharing scheme (NSISS) that can share a color secret image over n − 1 arbitrary natural images and one noise-like share image. Instead of altering the contents of the natural images, the encryption process extracts feature images from each natural image. In such a way, the unaltered natural images are innocuous, thus greatly reducing the security problem. Experimental results indicate that the proposed approach is an excellent 187
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WCICA 2012 The 10 th World Congress
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