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	1. Global properties of a computer virus model with discontinuous anti-virus strategy
	Liao Xiaofeng,Dong Tao
	Information Science and System Science 27 November 2015
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (4K B)

	Abstract:In this paper, a dynamical model characterizing the spread of computer viruses over the Internet is established, in which two assumptions are imposed: (1) the anti-virus strategy is discontinuous and (2) a computer possesses infectivity once it is infected. The qualitative properties of this model are fully studied. First, the basic reproduction number is determined, which describes the structure of possible equilibria as well as establishes the stability/instability of the equilibria. Second, we find that in the case that the virus-free equilibrium is asymptotically stable, the convergence to the virus-free equilibrium can actually be achieved in finite time, and we can estimate this time in terms of the model parameters, the initial number of the latent computer and breaking out computer and the initial anti-virus strength. This suggests that from the view point of eliminating the virus from the Internet, discontinuous anti-virus strategies would be superior to continuous ones. Finally, an illustrative example is also given to support the theoretical results.
	TO cite this article:Liao Xiaofeng,Dong Tao. Global properties of a computer virus model with discontinuous anti-virus strategy[OL].[27 November 2015] http://en.paper.edu.cn/en_releasepaper/content/4666003


	2. Distributed observer-based stabilization of nonlinear multi-agent systems with sampled-data control
	Ying Wan,Jinde Cao,Guanghui Wen
	Information Science and System Science 21 November 2015
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	Abstract:In this paper, distributed observer-based stabilization problem of multi-agent systems under directed graph is investigated. Distributed observer-based control protocol with sampled-data information is proposed. The dynamics of each agent contain nonlinear part, which is supposed to be general Lipschitz. In order to stabilize the states of the whole network, all the nodes utilize the relative output estimation error at sampling instants and only a small fraction of nodes use the absolute output estimation error additionally. By virtue of ISS property and Lyapunov stability theory, an algorithm to design control gain matrix, observer gain matrix, coupling strength as well as the allowable sampling period are derived. The conditions are in the form of LMIs and algebraic inequality, which are simple in form and easy to verify. Lastly, some further discussions about the solvability of obtained LMIs are given.
	TO cite this article:Ying Wan,Jinde Cao,Guanghui Wen. Distributed observer-based stabilization of nonlinear multi-agent systems with sampled-data control[OL].[21 November 2015] http://en.paper.edu.cn/en_releasepaper/content/4664435


	3. A Review of Pain Estimation: Motivation, Databases, Methods, and Challenges
	Peng Jinye,Yang Ruijing,Feng Xiaoyi
	Information Science and System Science 19 November 2015
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	Abstract:Facial expression is deemed as a sign of expressing one's internal emotion. Automatic recognition of spontaneous facial expression is the most popular research area during the past decades. Similarly, automatically recognizing pain from spontaneous facial expression is of increased attention, because of its wide application in clinical settings, such as for patients who cannot express their pain vocally. Such special categories of patients may be neonates, patients with dementia, patients in intensive care units, etc. Lots of research work focus on detecting binary results of pain from facial expressions, whereas this insufficient results may lead to under treatment for patients. In addition, detecting pain from static imges may lose lots of valuable information. Therefore, automatic detection of pain intensity in video sequences has become popular in the field. However, the lack of databases in natural scenarios related to pain expression and the reduction of the large dimensionality of facial features are the major problem in this field. In the present paper, several databases and the basic detecting model and methods that are used in concurrent studies are reviewed , together with the remaining challenges of pain detection.
	TO cite this article:Peng Jinye,Yang Ruijing,Feng Xiaoyi. A Review of Pain Estimation: Motivation, Databases, Methods, and Challenges[OL].[19 November 2015] http://en.paper.edu.cn/en_releasepaper/content/4663789


	4. Finite-Time Stability Analysis of FractionalOrder Delayed Memristive Neural Networks
	Li Ruo-Xia, Cao Jin-De
	Information Science and System Science 18 November 2015
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (4K B)

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