Abstract:Most existing image forensics approaches can effectively reveal image forgery by single image manipulation. However, two or more image manipulations, which are referred to be image operation chains, are usually involved in actual image tampering. In this paper, an image forensics approach is proposed to identify an image operation chain, which is possibly made up of three typical image manipulations including image sharping, scaling and median filtering. Since different image manipulations leave their distinct fingerprints, there also exist specific traces formed by interaction or superposition of different fingerprints left by multiple image manipulations in a specific order. Inspired by the rich image steganalytic features, we attempt to identify image operation chain by combining residue-based features in spatial domain and DCT domain. Experimental results show that the proposed approach achieves good detection result, which effectively discriminate multiple operation chains among different combinations of sharpening, scaling and median filtering. Moreover, the proposed method has good robustness against JPEG compression.

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	1. Detection of image operation chains by residual-based hybrid features
	HU Lipin,YANG Gaobo
	Information Science and System Science 06 May 2020
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	Abstract:Most existing image forensics approaches can effectively reveal image forgery by single image manipulation. However, two or more image manipulations, which are referred to be image operation chains, are usually involved in actual image tampering. In this paper, an image forensics approach is proposed to identify an image operation chain, which is possibly made up of three typical image manipulations including image sharping, scaling and median filtering. Since different image manipulations leave their distinct fingerprints, there also exist specific traces formed by interaction or superposition of different fingerprints left by multiple image manipulations in a specific order. Inspired by the rich image steganalytic features, we attempt to identify image operation chain by combining residue-based features in spatial domain and DCT domain. Experimental results show that the proposed approach achieves good detection result, which effectively discriminate multiple operation chains among different combinations of sharpening, scaling and median filtering. Moreover, the proposed method has good robustness against JPEG compression.
	TO cite this article:HU Lipin,YANG Gaobo. Detection of image operation chains by residual-based hybrid features[OL].[ 6 May 2020] http://en.paper.edu.cn/en_releasepaper/content/4751889


	2. Some notes on Input-output Finite-time Stability of Discrete-time Switched Systems
	ZHANG Guang-Chen, WANG Wei-Qun, GAO Jing-Bo
	Information Science and System Science 02 May 2017
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	Abstract:This paper contains a discussion on input-output finite-time stability (I-O FTS) issues related to switched systems featuring arbitrary switching and restricted switching. For switched systems under arbitrary switching, sufficient conditions are separately obtained for input signals $mathcal{W}_2$ and $mathcal{W}_infty$, respectively. The I-O FTS issues for switched systems under restricted switching are then addressed, including cases of switching signals with known instants and average dwell time; corresponding sufficient conditions are proposed via solvable LMIs constraints. To conclude the paper, the effectiveness of the proposed results are illustrated through numerical examples.
	TO cite this article:ZHANG Guang-Chen, WANG Wei-Qun, GAO Jing-Bo. Some notes on Input-output Finite-time Stability of Discrete-time Switched Systems[OL].[ 2 May 2017] http://en.paper.edu.cn/en_releasepaper/content/4727410

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	3. Output-based Disturbance Rejection Control for DC-AC Inverter Systems
	DAI Chen,YANG Jun,WANG Zuo,LI Shihua
	Information Science and System Science 09 May 2016
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	Abstract:In this paper, an output-based disturbance rejection control strategy is designed for the single-phase DC-AC inverter system. By means of the lumped disturbance estimation as well as virtual state estimations, an output feedback control combined with an additional feedforward compensation is proposed. It is shown that under the proposed control method, the asymptotically output voltage tracking performance is obtained even in the presence of various disturbances/uncertainties. Stability analysis for the closed-loop system is demonstrated by using the Lyapunov stability method. Simulation results show the feasibility and effectiveness of the proposed method.
	TO cite this article:DAI Chen,YANG Jun,WANG Zuo, et al. Output-based Disturbance Rejection Control for DC-AC Inverter Systems[OL].[ 9 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4687534


	4. Stability of 2-D discrete system in general model: a frequency-partitioning approach
	GAO Jing-Bo, WANG Wei-Qun
	Information Science and System Science 25 March 2016
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	Abstract:In this paper, the problem of stability two-dimensional discrete systems in general model are investigated. From the stability criterion in frequency domain interval, new sufficient conditions of asymptotic stability are derived in terms of linear matrix inequalities (LMIs). Then via a frequency-partitioning approach, the conditions are improved and have less conservatism. Simulation results are given to illustrate the proposed method.
	TO cite this article:GAO Jing-Bo, WANG Wei-Qun. Stability of 2-D discrete system in general model: a frequency-partitioning approach[OL].[25 March 2016] http://en.paper.edu.cn/en_releasepaper/content/4682162


	5. On Probabilistic Constrained output feedback Stochastic Model Predictive Control
	LI Ji-Wei, LI De-Wei, XI Yu-Geng
	Information Science and System Science 29 April 2015
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	Abstract:This paper designs output-feedback model predictive control for discrete-time stochastic linear systems. An augmented system of both estimated state and estimation erroris formulated. A series of polyhedrons is designed for uncertainty propagation of theaugmented system and handling probabilistic constraints. In particular, the polyhedron of estimation error is maintained over the repeated optimization such that the real system state is properly estimated. The resultant optimization problem of the controller is quadraticprogramming and is solved efficiently. A numerical example is given to illustrateperformance of the controller.
	TO cite this article:LI Ji-Wei, LI De-Wei, XI Yu-Geng. On Probabilistic Constrained output feedback Stochastic Model Predictive Control[OL].[29 April 2015] http://en.paper.edu.cn/en_releasepaper/content/4640982


	6. Formal Modeling and Verification of Complex Interactions in E-Government Applications
	SUN Meng,LI Yi
	Information Science and System Science 14 April 2015
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	Abstract:With the dramatic transformation of society and the increasing size of government information resources, proper modeling and verification techniques for designing large-scale distributed electronic government (E-Government) applications to make them trustworthy, secure and efficient are playing a key role in the development of such applications. This paper focuses on using the integration of a promising coordination modeling framework Reo and the proof assistant Coq for modeling and verification of complex interactions in E-Government applications. An access control example is investigated to show our approach on modeling, simulating and verifying the dynamic behavior of E-Government applications.
	TO cite this article:SUN Meng,LI Yi. Formal Modeling and Verification of Complex Interactions in E-Government Applications[OL].[14 April 2015] http://en.paper.edu.cn/en_releasepaper/content/4638639


	7. Load distribution and topological properties in urban road networks with metric spaces
	ZHENG Jianfeng
	Information Science and System Science 14 March 2015
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	Abstract:By considering the length and "width" of the road in urban transportation systems, this paper empirically investigates the topological structure properties for three realistic urban road networks in the United States, where road segments and junctions are represented by links and nodes, respectively. Links and nodes are embedded in metric spaces and the small-world effect is discussed in regular networks with metric spaces. The "width" of a road can be alternatively described by its capacity. Distributions of degree, capacity and length for these three realistic urban road networks are mainly analyzed. Finally, load distribution in these urban road networks is also explored.
	TO cite this article:ZHENG Jianfeng. Load distribution and topological properties in urban road networks with metric spaces[OL].[14 March 2015] http://en.paper.edu.cn/en_releasepaper/content/4633114


	8. On Convex Formulation of Linear Constrained Model Predictive Control
	LI Ji-Wei, LI De-Wei, XI Yu-Geng
	Information Science and System Science 02 December 2014
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	Abstract:This paper develops a model predictive control strategy for stochastic linearsystems with both multiplicative and additive uncertainty. The random natureof the system is characterized by a sequence of polytopes, in which thestate-transition matrix evolves with certain probability. Design of the polytopesrelies on random samples of the transition matrix, and computation of thepolytopes is efficient through a convex optimization. On the basis of thepolytopic description, linear probabilistic constraints can be transformedinto deterministic ones and be solved in low computation burden. The proposed MPCalgorithm ensures probabilistic constraints and closed-loop stability. The resultsare illustrated by a numerical example.
	TO cite this article:LI Ji-Wei, LI De-Wei, XI Yu-Geng. On Convex Formulation of Linear Constrained Model Predictive Control[OL].[ 2 December 2014] http://en.paper.edu.cn/en_releasepaper/content/4621383


	9. Dynamics Analysis in a Delayed Two-Species Competition Model with Harvest Effort and Nonlinear Intraspecific Regulation
	LIU Chao, WANG Xiao-Min, Yue Wen-Quan
	Information Science and System Science 08 May 2014
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	Abstract:In this paper, a mathematical model is established to investigate interaction and coexistence mechanism of two-species competition ecosystem with nonlinear intraspecific regulation. The combined dynamic effects of maturation delay and harvest effort on population dynamics are discussed. Conditions for existence of three nonnegative boundary equilibria and a unique interior equilibrium are investigated. Positivity and boundedness of solutions are analytically studied. By analyzing associated characteristic equation, local stability of the proposed model around nonnegative boundary equilibrium and interior equilibrium is discussed, respectively. Furthermore, global stability of the nonnegative boundary equilibrium is investigated based on an iterative technique. By constructing an appropriate Lyapunov functional, global stability of the unique interior equilibrium is also discussed. Numerical simulations are carried out to show consistency with theoretical analysis.
	TO cite this article:LIU Chao, WANG Xiao-Min, Yue Wen-Quan. Dynamics Analysis in a Delayed Two-Species Competition Model with Harvest Effort and Nonlinear Intraspecific Regulation[OL].[ 8 May 2014] http://en.paper.edu.cn/en_releasepaper/content/4594689


	10. Impact of Relationship Heterogeneity on Opinion Evolution in Social Networks
	LI Pei,FAN Peng-Yi
	Information Science and System Science 14 March 2014
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	Abstract:Traditional opinion dynamics models usually assume positiverelationships, where opinions of individuals tend to get closer wheninteraction happens. However, these models can not explain whyextreme opinions appear when there are no extreme opinions at thebeginning. In this paper, we believe that individuals shifting awayopinions is due to the negative relationships. We focus onrelationship heterogeneity in social networks, and propose a modelto capture the positive relationships as well as negative ones. Wecharacterize the relationship between two individuals byrelationship factor, and specify the opinion adaptation behaviors fordifferent relationship types. To explore the proposed model, weconsider opinion dynamics in small world networks, and study theimpact of relationship heterogeneity on opinion dynamics by varyingthe fraction of negative relationships. We find that negativerelationships cause extreme opinions, even when the fraction ofnegative relationships is very small, and the largest and secondlargest opinion gaps first increase, and then decrease when thefraction of negative relationships varies from 0 to 1.
	TO cite this article:LI Pei,FAN Peng-Yi. Impact of Relationship Heterogeneity on Opinion Evolution in Social Networks[OL].[14 March 2014] http://en.paper.edu.cn/en_releasepaper/content/4589915

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