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17th Pacific-Rim Conference on Multimedia, PCM 2016

作者： Zhang, Xiao Du, Youtian MOE Key Lab for Intelligent Networks and Network Security Xi’an Jiaotong University Xi’an710049 China

ISBN: (纸本)9783319488950

In this paper, we propose a simple nonlinear convolutional network, named Nonlinear PCA network (NL-PCANet) for image classification. Compared with previous PCA network, NL-PCANet introduces a nonlinear term in the convolution filters, which ensures that the maps depend on not only the direction of principal components of global distribution but also the location of individual example. Consequently, it is suitable to the nonlinear distribution of data and keeps more information of raw features. The main difference of our method from the traditional nonlinear architecture is that we introduce a nonlinear term in the traditional convolution filter instead of adding the layer of nonlinear transformation. Experiments of face recognition over Extended Yale B, Yale, ORL datasets and object recognition over various sizes of partial CIFAR10 dataset show the effectiveness of our approach. © Springer International Publishing AG 2016.

关键词： Image classification

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An Uncertainty-Based Traffic Training Approach to Efficiently Identifying Encrypted Proxies 12

An Uncertainty-Based Traffic Training Approach to Efficientl...

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12th International Conference on Advanced Infocomm Technology, ICAIT 2020

作者： Zhang, Xianlei Ma, Xiaobo Han, Xiao She, Bo Li, Wei Xi'an Jiaotong University Moe Key Lab for Intelligent Networks and Network Security China Shaanxi Tobacco Corporation China

ISBN: (纸本)9781728183848

Encrypted proxies, such as Shadowsocks and v2ray, are increasingly used to reserve user privacy and circumvent censorship. However, they are also widely misused by attackers to carry out illegal activities like malware downloading, information theft. Therefore, identifying encrypted proxies is a fundamental task concerning cyber security for network administrators. Existing studies focus on traffic feature engineering and designing the classification model. Although indispensable, they do not consider the training efficiency problem, thereby unable to approach the best possible performance when the number of affordable training samples is limited due to resource constraint. In this paper, we propose an uncertainty-based traffic sample selection strategy to boost traffic training of encrypted proxies. The proposed strategy allows one to use fewer samples to quickly learn diverse traffic characteristics. Through experiments, we demonstrate that our strategy significantly outperforms random sample selection, and hence substantially improves identification performance. © 2020 IEEE.

关键词： Malware

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Dynamic output feedback robust model predictive control based on ellipsoidal estimation error bound for quasi-LPV systems

Dynamic output feedback robust model predictive control base...

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第25届中国控制与决策会议

作者： Xubin Ping Baocang Ding Ministry of Education Key Lab For Intelligent Networks and Network Security (MOE KLINNS Lab) Department of Automation School of Electronic and Information Engineering Xi'an Jiaotong University

ISBN: (纸本)9781467355322

This paper presents a dynamic output feedback robust model predictive control (DOFRMPC) for the quasiLPV (quasi-linear parameter varying) systems with both polytopic uncertainty and bounded disturbance. Our previous studies have shown that the refreshment of the estimation error set (EES) is a key knob for improving the control performance. In our previous work, for calculating the EES, the recursion of polyhedral set is utilized, which also involves the polyhedral outer approximation of the ellipsoid and the outer ellipsoidal approximation of polyhedral set. By applying S-procedure, a new method for refreshing EES is proposed in this paper which directly utilizes the recursion of ellipsoidal EES. A numerical example is given to illustrate the effectiveness of the approach.

关键词： Dynamic output feedback, model predictive control, quasi-linear parameter varying systems, estimation error set

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Dynamic output feedback robust MPC for constrained quasi-LPV systems with both polyhedral and ellipsoidal bounds on estimation error

Dynamic output feedback robust MPC for constrained quasi-LPV...

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第三十二届中国控制会议

作者： DING Baocang Ministry of Education Key Lab For Intelligent Networks and Network Security(MOE KLINNS Lab) Department of AutomationSchool of Electronic and Information EngineeringXi'an Jiaotong University

ISBN: (纸本)9781479900305

A new approach is proposed for the output feedback robust model predictive control(MPC) of a quasi-linear parameter varying(quasi-LPV) system with bounded *** the main optimization problem for finding the control law,the current true state is substituted with its *** bounds are represented by either an ellipsoid or a polyhedron,the latter being used if and only if it is contained in the *** the ellipsoid and the polyhedron are refreshed at each sampling *** recursive feasibility of the main optimization problem is guaranteed by a simple refreshment of the ellipsoid,the control performance can be improved by applying the polyhedron,and the closed-loop stability is achieved by the technique of quadratic boundedness.A numerical example is given to illustrate the effectiveness of the controller.

关键词： Dynamic output feedback Model predictive control Uncertain systems Quadratic boundedness

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Dynamic output feedback robust model predictive control with guaranteed quadratic boundedness under redefined bounds on the unknown true state for the system with polytopic uncertainty and bounded disturbance

Dynamic output feedback robust model predictive control with...

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第三十二届中国控制会议

作者： DING Baocang PING Xubin Ministry of Education Key Lab For Intelligent Networks and Network Security(MOE KLINNS Lab) Department of AutomationSchool of Electronic and Information EngineeringXi'an Jiaotong University

ISBN: (纸本)9781479900305

This paper considers the dynamic output feedback robust model predictive control for a system with both polytopic uncertainty and bounded *** previous studies on this topic have shown that the techniques for handling the unknown true state are *** is required to utilize the bounds of the true state to replace the true state itself in the optimization *** previous approach,which defines an error signal as the linear combination of the true state,the estimated state and the output,is *** the improved procedure,an extended technique for handling the unknown true state is given for the main optimization problem,but greatly simplified technique is involved for the auxiliary optimization ***,like our published works,the main optimization problem is utilized to refresh the control law parameters,but needs not be solved at every sampling instant,and the auxiliary optimization problem is solved to determine whether or not to refresh the solution of the approximate main optimization *** applying the proposed method,the augmented state of the closed-loop system is guaranteed to converge to the neighborhood of the equilibrium point.

关键词： Model predictive control Uncertain systems Dynamic output feedback Bounded disturbance

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A Multi-scale Perception Enhancement Network for Underwater Waste Detection 9

A Multi-scale Perception Enhancement Network for Underwater ...

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9th International Conference on Image, Vision and Computing, ICIVC 2024

作者： Li, Yangke Zhang, Xinman MOE Key Lab for Intelligent Networks & Network Security School of Automation Science and Engineering Xi’an Jiaotong University Xi’an China

ISBN: (纸本)9798350385991

Underwater waste detection plays an important role in aquatic ecosystems and environmental protection. In fact, waste deposits in aquatic environments not only cause water contamination, but also pose potential risks to human health. However, underwater images often face the problem of image degradation, which makes underwater waste detection tasks more challenging. Therefore, we propose an efficient multi-scale perception enhancement network (MPE-Net) for underwater waste detection, which can provide more discriminative information to improve detection performance. On the one hand, we introduce a multi-scale semantic enhancement module (MSEM) to capture richer contextual features in different receptive fields, and enhance critical semantic information by using frequency domain information. On the other hand, we design a multi-scale boundary enhancement module (MBEM) to extract boundary information at different scales, and emphasize important detail features by using hybrid boundary perception. We conduct comprehensive experiments on two common underwater waste image datasets. Relevant experimental results show that our method outperforms other representative deep learning models. © 2024 IEEE.

关键词： Health risks

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Querent-centric Domain Name System Modeling and Its Application in Passive Software Discovery 8

Querent-centric Domain Name System Modeling and Its Applicat...

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8th International Conference on Dependable Systems and Their Applications, DSA 2021

作者： Qu, Jian Ma, Xiaobo Liu, Wenmao Xi'an Jiaotong University MOE Key Lab for Intelligent Networks and Network Security Xi'an China NSFOCUS Inc. Beijing China

ISBN: (纸本)9781665443913

Domain Name System (DNS) is indispensable to the daily operation of all Internet services, computer programs, smartphones, etc. It has been commonly explored as a vantage point for network monitoring. However, a fundamental question that whether a DNS query originating from a querent is issued by humans or software entities remains not deeply investigated. Tackling such a question enables us to further passively discover software entities that the querent uses from DNS traffic. In this paper, we systematically perform querent-centric DNS modeling and explore its application in passive software discovery. Through in-depth measurement of real-world DNS traffic involving 4,398 querents, we develop an entropy-based method to distinguish between human and non-human domain names, and propose a community-based software discovery solution. The measurement and experiments show that our methods can well characterize the non-human and human DNS query behavior, and achieve passive software discovery. © 2021 IEEE.

关键词： Application programs

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Towards a Unified Recurrent Neural Network Theory： The Uniformly Pseudo-Projection-Anti-Monotone Net

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Acta Mathematica Sinica,English Series 2011年第2期27卷 377-396页

作者： Zong Ben XU Chen QIAO Institute for Information and System Science Faculty of Science MOE Key Lab for Intelligent Networks and Network Security Xi'an Jiaotong University Xi'an 710049 P. R. China qiaochen @mail.xjtu. edu. cn

In the past decades, various neural network models have been developed for modeling the behavior of human brain or performing problem-solving through simulating the behavior of human brain. The recurrent neural networks are the type of neural networks to model or simulate associative memory behavior of human being. A recurrent neural network （RNN） can be generally formalized as a dynamic system associated with two fundamental operators： one is the nonlinear activation operator deduced from the input-output properties of the involved neurons, and the other is the synaptic connections （a matrix） among the neurons. Through carefully examining properties of various activation functions used, we introduce a novel type of monotone operators, the uniformly pseudo-projectionanti-monotone （UPPAM） operators, to unify the various RNN models appeared in the literature. We develop a unified encoding and stability theory for the UPPAM network model when the time is discrete. The established model and theory not only unify but also jointly generalize the most known results of RNNs. The approach has lunched a visible step towards establishment of a unified mathematical theory of recurrent neural networks.

关键词： Feedback neural networks essential characteristics uniformly pseudo-projection-anti- monotone net unified theory dynamics

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Low complex decision-feedback equalization for time-reversal quasi-orthogonal space-time block codes

Low complex decision-feedback equalization for time-reversal...

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作者： Feng, Ang Yin, Qinye MOE Key Lab for Intelligent Networks and Network Security School of Electronics and Information Engineering Xi'an Jiaotong University Xi'an 710049 China

In this paper, we design a practical time-reversal quasi- orthogonal space-time block code (TR-QO-STBC) system for broadband multi-input multi-output (MIMO) communications. We first modify the TR-QO-STBC encoding structure so that the interference between the transmitted blocks can be completely removed by linear processing. Two low complex decision-feedback equalization (DFE) schemes are then proposed. One is built from the frequency-domain decision-feedback equalization (FD-DFE). The derived bi-directive FD-DFE (BiD-FD-DFE) cancels the interference among the successive symbols along the time axis. The other one is the enhanced V-BLAST, which cancels the interference between the real and imaginary parts of the spectral components. They have distinct performance characteristics due to the different interference- cancellation strategies. The underlying orthogonal and symmetric characters of TR-QO-STBC are exploited to reduce the computational complexity. Computer simulations confirm that the proposed equalizers can achieve better performance than the existing schemes. Copyright © 2011 The Institute of Electronics, Information and Communication Engineers.

关键词： Space-time block coding (STBC)

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A distributed multi-antenna space hopping transceiver technique

A distributed multi-antenna space hopping transceiver techni...

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2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013

作者： Zuo, Shalin Jia, Shuqiao Yin, Qinye MOE Key Lab for Intelligent Networks and Network Security School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an 710049 Shaanxi China

ISBN: (纸本)9781479910274

To achieve secure wireless communications, since traditional solutions like frequency hopping spread spectrum (FHSS) technology not only are technically difficult to implement but also make the frequency resources shortage even more critical, researches on signal's energy distribution over space are conducted in this paper. The results indicate that space spectrum varies from location to location in multi-antenna transceiver wireless communications systems, which implies that space spectrum resources rather than frequency spectrum resources can be taken into account on security grounds. Based on this point of view, a distributed multi-antenna transceiver technique - 0/1 space hopping (SH) technique is proposed. According to the space hopping pattern, weights are first obtained at the target user via training without having to know the array manifold or to solve the sophisticated multichannel. Moreover, regular constellations can be obtained for direct symbol retrieving. Simulation results are presented and analyzed to evaluate the performance of our technique. © 2013 IEEE.

关键词： Radio transceivers

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