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	1. Exact controllability of backward stochastic control system
	Wang Xiangrong,Huang Hong
	Information Science and System Science 13 October 2013
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	Abstract:Based on the study of Peng[1], this paper gives a necessary condition of exact controllability for backward stochastic control systems, and introduces three equivalent conditions of necessary and sufficient for the system to be exactly controllable when the system is linear. In the end, two examples on the optimal portfolio problem with consumption will be given.
	TO cite this article:Wang Xiangrong,Huang Hong. Exact controllability of backward stochastic control system[OL].[13 October 2013] http://en.paper.edu.cn/en_releasepaper/content/4562493


	2. Featured Circular Profile for Vessel Thresholding
	Na Lu
	Information Science and System Science 30 September 2013
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	Abstract:To analyze the characteristics of the blood vessels quantitatively is of great importance to the diagnosis of different diseases, e.g., stenosis, diabetic retinopathy, tumor and so on. However, the occurrence of imaging noise or illumination variation may include difficulty for image analysis, especially for accurate quantitative analysis. Therefore, more efficient algorithms for vessel image thresholding, segmentation or extraction have been studied. Nevertheless, these methods may still fail entirely in case of images with large noise or structural noise (such as spots that obscure and/or are brighter than vessels). To improve the algorithm performance on these issues, we propose a novel thresholding algorithm for vascular images by probing the polarity in the circular profiles (PCP) of image pixels. This can robustly distinguish tube-like objects from both cloud-like contaminations and structural noise. Extensive simulation studies based on multiple evaluation criteria suggest that the PCP algorithm typically has a superior performance over other representative approaches. Finally, we also demonstrate the satisfactory performance of the PCP method on real image data.
	TO cite this article:Na Lu. Featured Circular Profile for Vessel Thresholding[OL].[30 September 2013] http://en.paper.edu.cn/en_releasepaper/content/4560953

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	3. Fault Detection of Rail Vehicle Suspension System Based on CPCA
	Wei xiukun,Guo Ying,Jia Limin,Liu Hai
	Information Science and System Science 30 September 2013
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	Abstract:The suspension system plays a crucial role of the rail vehicles. The fault detection of the suspension system is an effective way to ensure the security of the safe, stable operation of rail vehicles. This paper concerns the fault detection issue of rail vehicle suspension systems with the consensus principle components analysis (CPCA). The signal information used in the fault detection is obtained from the SIMPACK and MATLAB co-simulation environment. In this paper, two typical primary spring and damper fault with coefficient reduction of 5% and 25% are detected successfully using CPCA. Compared with DPCA, the simulation results show that the CPCA method can detect smaller fault with faster response speed.
	TO cite this article:Wei xiukun,Guo Ying,Jia Limin, et al. Fault Detection of Rail Vehicle Suspension System Based on CPCA[OL].[30 September 2013] http://en.paper.edu.cn/en_releasepaper/content/4561573


	4. Recurrence networks from multivariate signals for uncovering dynamic transitions of horizontal oil-water stratified flows
	Gao Zhongke,Zhang Xinwang,Jin Ningde,Donner Reik V.,Marwan Norbert,Kurths Jürgen
	Information Science and System Science 07 August 2013
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	Abstract:Characterizing the mechanism of drop formation at the interface of horizontal oil-water stratified flows is a fundamental problem eliciting a great deal of attention from different disciplines. We experimentally and theoretically investigate the formation and transition of horizontal oil-water stratified flows. We design a new multi-sector conductance sensor and measure multivariate signals from two different stratified flow patterns. Using the Adaptive Optimal Kernel Time-Frequency Representation (AOK TFR) we first characterize flow behavior from the energy and frequency point of view. Then, we infer multivariate recurrence networks from experimental data and investigate the cross-transitivity for each constructed network. We find that the cross-transitivity from recurrence network analysis allows quantitatively uncovering the flow behavior when the stratified flow evolves from stable state to unstable state and recovers deeper insights into the mechanism governing the formation of drops at the interface of stratified flows, a task that existing method based on AOK TFR fails to work. These interesting and significant findings present a first step towards an improved understanding of the dynamic mechanism leading to the transition of horizontal oil-water stratified flows from a complex network perspective
	TO cite this article:Gao Zhongke,Zhang Xinwang,Jin Ningde, et al. Recurrence networks from multivariate signals for uncovering dynamic transitions of horizontal oil-water stratified flows[J].


	5. Multivariate recurrence network analysis for characterizing horizontal oil-water two-phase flow
	Gao Zhongke,Zhang Xinwang,Jin Ningde,Marwan Norbert,Kurths Jürgen
	Information Science and System Science 25 July 2013
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	Abstract:Characterizing complex patterns arising from horizontal oil-water two-phase flows is a contemporary and challenging problem of paramount importance. We design a new multi-sector conductance sensor and systematically carry out horizontal oil-water two-phase flow experiments for measuring multivariate signals of different flow patterns. We then infer multivariate recurrence networks from these experimental data and investigate local cross-network properties for each constructed network. Our results demonstrate that local cross-clustering coefficient from a multivariate recurrence network is very sensitive to transitions among different flow patterns and recovers quantitative insights into the flow behavior underlying horizontal oil-water flows. These properties render multivariate recurrence networks particularly powerful for investigating a horizontal oil-water two-phase flow system and its complex interacting components from a network perspective.
	TO cite this article:Gao Zhongke,Zhang Xinwang,Jin Ningde, et al. Multivariate recurrence network analysis for characterizing horizontal oil-water two-phase flow[J].


	6. Growth Mechanism of the Industrial Competition Networks based on a Motif-Hierarchical model
	Yao Canzhong
	Information Science and System Science 18 July 2013
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	Abstract:It has been shown that many complex networks share self-similar properties. To reveal the ubiquitous characteristics that many real networks may have in common, we first improve the box covering algorithm and use it to measure several real industrial competition networks. As a result, we find some real industrial competition networks illustrate the fractal properties. In order to reveal the growth mechanism of the network, we introduce a motif-hierarchical model, we simulate how the fractal structure of the industrial network may be formed, and to some extent verify the disassortative process to be one important self-organizing mechanism of the industry system.
	TO cite this article:Yao Canzhong. Growth Mechanism of the Industrial Competition Networks based on a Motif-Hierarchical model[OL].[18 July 2013] http://en.paper.edu.cn/en_releasepaper/content/4552353


	7. On Combining Trilinear Decomposition and ICA
	GONG Xiaofeng,HAO Yana,LIN Qiuhua,LIU Zhiwen,XU Yougen
	Information Science and System Science 16 June 2013
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	Abstract:We present a new canonical polyadic decomposition (CPD) algorithm to exploit both source statistical independence and trilinear structure of a three-way tensor based on independent component analysis (ICA) and joint diagonalization (JD). More exactly, ICA is first performed on the matricized tensor to exploit the statistical independence in one mode, JD is then carried out upon the initial ICA results to restore the trilinear structure of the original tensor, and rank-1 approximation is finally used to extract the parallel factors. The proposed algorithm is able to overcome the converging difficulties of standard CPD in the presence of collinearities. Moreover, it is able to exploit the trilinearity of the target tensor more thoroughly than existing methods that combine CPD and ICA, and thus is less sensitive to the incorporated ICA stage than these methods. Simulations are provided to compare the proposed algorithm with both standard CPD algorithms and algorithms that combine CPD and ICA.
	TO cite this article:GONG Xiaofeng,HAO Yana,LIN Qiuhua, et al. On Combining Trilinear Decomposition and ICA[OL].[16 June 2013] http://en.paper.edu.cn/en_releasepaper/content/4548303


	8. Modeling of Opinion Dynamics in Social Networks with Relationship Heterogeneity
	LI Pei,FAN Peng-Yi,JIANG Zhi-Hong,WANG Hui
	Information Science and System Science 21 May 2013
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	Abstract:Traditional opinion dynamic models usually assume homogeneous relationships, where individual opinions tend to get closer when interaction happens. In this paper we propose an opinion dynamic model which can capture relationship heterogeneity. To show this model is analytical, we take into account a scenario with three individuals, where there are both positive and negative relationships. We find that if the level of negative relationship is low, individuals tend to reach consensus, and if the level of negative relationship is high, individuals tend to hold different opinions. The analysis results are verified by numerical simulations.
	TO cite this article:LI Pei,FAN Peng-Yi,JIANG Zhi-Hong, et al. Modeling of Opinion Dynamics in Social Networks with Relationship Heterogeneity[OL].[21 May 2013] http://en.paper.edu.cn/en_releasepaper/content/4544143


	9. Global stability analysis and optimal taxation strategy for a prey-predatorsystem with prey population refuge
	LIU Chao,ZHANG Yi,ZHANG Qingling ,LI Yuanke
	Information Science and System Science 09 May 2013
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	Abstract:In this paper, a prey predator system with prey refuge is proposed, where selective harvest effort on predator population is considered and taxation is utilized as a control instrument to protect the predator population from overexploitation. Conditions which influence boundedness of positive solutions of model system are studied. By using differential dynamical system theory, local stability analysis around all equilibria of system are discussed due to variation of prey refuge level and taxation. Furthermore, global stability of system around the positive equilibrium is investigated based on Bendixson criterion. By using Pontryagin's maximum principle, an optimal taxation policy is derived to ensure the sustainable development of related population resource and prosperous commercial harvesting.
	TO cite this article:LIU Chao,ZHANG Yi,ZHANG Qingling , et al. Global stability analysis and optimal taxation strategy for a prey-predatorsystem with prey population refuge[J].


	10. Beamforming Weight Vectors Designing for 60 GHz Wireless Communication Systems
	Forgin Harlad Komba,Xu Pingping,Chu Hongyun
	Information Science and System Science 19 April 2013
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	Abstract:In this paper, we design codebooks for supporting beamforming in 60 GHz frequency band. The proposed codebooks support both discrete and continuous phase resolution, respectively. The codebooks with discrete resolution were derived following the concept initiated by TG3c in IEEE 802.15.3c standard while the codebook with continuous resolution is based on Kaiser-Bessel windowing function. The designed codebooks give weight vectors that have reasonable level of side lobe and can be used in 60 GHz systems employing analog and digital phase shifters. The codebooks were created by considering the main features of linear array such as array gain, side lobe level, directivity loss and half-power beamwidth of the radiation pattern. The simulation results show that the weight vectors of the designed codebooks improve the performance of linear arrays in terms of power of side lobe, directivity loss, and output SNR of beamforming receiver. The designed weight vectors are frequency independent; in this case, they are both applicable in wideband and narrowband beamforming systems.
	TO cite this article:Forgin Harlad Komba,Xu Pingping,Chu Hongyun. Beamforming Weight Vectors Designing for 60 GHz Wireless Communication Systems[OL].[19 April 2013] http://en.paper.edu.cn/en_releasepaper/content/4537723

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