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2021 China Automation Congress, CAC 2021

作者： Wang, Mufeng Liu, Ke Geng, Yangyang Che, Xin Wang, Jingpei College of Control Science & Engineering Zhejiang University Hangzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665426473

In recent years, driven by huge engineering demands, industrial Cyber-Physical System (iCPS) has developed rapidly. As an important energy conversion device in iCPS, stable operation of permanent magnet synchronous motor (PMSM) is very important to ensure the availability of the whole iCPS. In this paper, based on Lyapunov stability theory, the function projective synchronization (FPS) of chaotic PMSM systems with certain and uncertain system parameters are investigated, respectively. The proposed control method is proved by using explicit numerical theory and then applied in numerical simulations. From the results of simulations, effectiveness of the control method is obviously. Our study can solve the synchronization and motors coordination problem in industry manufacture. © 2021 IEEE

关键词： Cyber Physical System

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Tailor : Datacenter Load Balancing for Accelerating Distributed Deep Learning 9

Tailor : Datacenter Load Balancing for Accelerating Distribu...

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9th International Conference on advanced Cloud and Big Data, CBD 2021

作者： Xu, Zhengzhi Lu, Yifei Li, Jingqi Ma, Xu Qian, Lei Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210096 China State Key Lab of Mathematical Engineering and Advanced Computing Wuxi214215 China

ISBN: (纸本)9781665407458

Accelerating Distributed Deep Learning draws increasing attention recently. Existing solutions like gradient compression, pipelining computation/communication, flow scheduling based on gradient disparities, neglect load balancing for Distributed Deep Learning (DDL) flows in DataCenter Network. In this paper, we review the PS traffic pattern in usual DDL training and propose that minimizing tail Flow Completion Time (FCT) of DDL flows is objective for DDL traffic Load Balancing. Besides, traffics of DDL differ from traditional DataCenter in temporal and spatial distribution. Current DCN Load Balancing become unadaptable to optimization requirements of DDL traffic, so we propose Tailor, a brand new load balancing scheme for DDL traffics training in DCN. Tailor is a solution without complex switch modification that sufficiently leverages the known parameter amount of DDL flows to discover congestion and reroutes by ECMP-like hash function to compensate bandwidth for slower flows. With large-scale simulation, we validate the effectiveness of Tailor. Tailor behaves well in both symmetric and asymmetric topology. It reduces time cost of DDL training by decreasing about 20-30% tail FCT than other load balancing mechanisms. © 2022 IEEE.

关键词： Deep learning

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CAD-IDS: A Cooperative Adaptive Distributed Intrusion Detection System with Fog computing 25

CAD-IDS: A Cooperative Adaptive Distributed Intrusion Detect...

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25th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2022

作者： Li, Shuren Lu, Yifei Li, Jingqi Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210096 China State Key Lab of Mathematical Engineering and Advanced Computing Wuxi214215 China

ISBN: (纸本)9781665405270

Nowadays, the IoT (internet of things) botnet has become a huge threat to network security. In response to this threat, we present a cooperative adaptive network intrusion detection system (IDS) framework with fog computing. The core part is cooperation detection architecture based on online adaptive machine learning algorithms. Our CAD-IDS aims to decrease the new attack detection time for all the IoT nodes and reduce the complexity of the cooperative IDS framework. The results of the experiment indicate that our CAD-IDS can detect IoT attacks efficiently and timely. Our ML code is available in https://***/LiQianchang/CAD-IDS-ML-Code. © 2022 IEEE.

关键词： Internet of things

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Stepwise DOA Estimation for Coherent and Uncorrelated Mixed Signals on Coprime Array 5

Stepwise DOA Estimation for Coherent and Uncorrelated Mixed ...

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5th IEEE advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2022

作者： Jiang, Heng Li, Lichun Zhang, Hailong Pan, Hongyi Li, Xue College of Information System Engineering Information Engineering University Zhengzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665479677

The coprime array constructs virtual array to obtain higher degrees of freedom (DOF), but the premise of doing so is that the signals are independent of each other. Once there are coherent signals, the signal model of virtual array is destroyed and the method fails. To solve these problems, we propose the stepwise estimation of the Direction of Arrival (DOA) for a mixture of coherent and uncorrelated signals. Firstly, the symmetry of the two coprime subarrays is used to eliminate the uncorrelated signals, and combined with the properties of prime numbers, the coherent source DOA is jointly estimated. The obtained coherent source DOA was combined with the optimization algorithm to remove the coherent signal in the mixed signal. Finally, the virtual domain signal processing method was used to estimate the independent source DOA. This method can effectively reduce the influence of coherent signals on the accuracy of DOA estimation without loss of degrees of freedom. In this paper, the feasibility of the proposed method is proved by theoretical derivation, and the effectiveness of the method is also verified by experimental simulations. © 2022 IEEE.

关键词： Direction of arrival

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Discovering users' potential demands for literature recommendation

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9th FTRA InternationalConference on Future Information Technology, FutureTech 2014

作者： Gao, Yinghu Chen, Xue Xu, Zheng School of Computer Engineering and Science Shanghai University Shanghai China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

ISBN: (纸本)9783642550379

Inspired by the process of human memory and interaction, this paper provides a discovery model of user demands. We can get the keywords network and episodic network by capture and analysis the user's behavior in the process of interaction, which can help the searching results to meet the user's actual demands better. © 2014 Springer-Verlag Berlin Heidelberg.

关键词： Behavioral research

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A semantic representation of micro-blog short text based on topic model

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9th FTRA InternationalConference on Future Information Technology, FutureTech 2014

作者： Tang, Wenqing Chen, Xue Xu, Zheng State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China School of Computer Engineering and Science Shanghai University Shanghai China

ISBN: (纸本)9783642550379

The fundamental challenge confronting micro-blog short texts is to represent, compute and mine their semantics since they are colloquial language and restricted within 140 words. This paper presents an approach to represent micro-blogs semantically based on topic model. First, we get the topic vector of micro-blog through word-themes Mutual Reinforcement of micro-blog texts. Second, we take advantages of improved K-means to cluster micro-blog topic vectors and gain a category set of micro-blogs. Third, we make experiments to prove the above-mentioned methods. Finally, we find these methods can calculate semantics of micro-blogs text accurately and effectively. © 2014 Springer-Verlag Berlin Heidelberg.

关键词： Semantics

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Honeypot Detection Method Based on Anomalous Requests Response Differences 23

Honeypot Detection Method Based on Anomalous Requests Respon...

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6th International Conference on Electronics, Communications and Control engineering, ICECC 2023

作者： Chen, Xingyu Lu, Bin Sun, Rongbo Jiang, Mi State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University China Cyber Security College Information Engineering University China

ISBN: (纸本)9798400700002

Honeypot detection is a popular technology in the current cyber security, which can be used to check the disguise and protection level of deployed honeypots. To address the problem of low detection accuracy of existing honeypot detection techniques, this paper proposes a honeypot detection method based on the differences of anomalous requests' response. The method uses the anomalous request packet construction method designed in this paper to construct anomalous request packets, and sends the constructed anomalous request packets to the identity-known devices to collect the responses. Combined with the responses analysis method designed in this paper, the responses are analyzed in terms of similarity in both content and structure dimensions, which enables the evaluation of anomalous request packets in turn, and the selection of those that can consistently trigger a differential response from the honeypots to form a probing packets set based on anomaly. A deep learning model aiming at honeypot detection is designed using the responses of the identity-known devices in response to the probing packets set based on anomaly. The model and the responses of the nodes to detect to the probing packets set based on anomaly are used to detect honeypots. Experiment shows that the method is able to detect the nodes to detect with an accuracy of 96.4%. © 2023 ACM.

关键词： Deep learning

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BOBBLE: A Mixed Routing-Granularity Distributed Load Balancing for Data Center Networks 23

BOBBLE: A Mixed Routing-Granularity Distributed Load Balanci...

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23rd IEEE International Conference on High Performance computing and Communications, 7th IEEE International Conference on Data Science and Systems, 19th IEEE International Conference on Smart City and 7th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Xu, Zhengzhi Lu, Yifei Ma, Xu School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210096 China State Key Lab of Mathematical Engineering and Advanced Computing Wuxi214215 China

ISBN: (纸本)9781665494571

In current Datacenter Networks (DCNs), Equal-Cost Multipath (ECMP) is a default load balancing scheme. However, using ECMP may result in rapid growth of Flow Completion Time (FCT) due to its well-known drawbacks. In order to solve the problem of ECMP, load balancing schemes with per-packet granularity (such as RPS) and per-flowlet granularity (such as LetFlow) are proposed. These two different granularities have their own features, but there's no existing load balancing considering both their advantages. In this paper, we mix per-flowlet and per-packet in scheduling decisions and introduce the potential performance bottleneck in mixed granularities load balancing. Based on this idea, we propose a hybrid scheme for load balancing, referred to as BOBBLE. The key idea of BOBBLE is to distinguish elephant and mouse flows and schedule them with different granularity. We evaluate BOBBLE in simulations with NS-3. Experiment shows that BOBBLE slightly sacrifices elephant flows FCT but it is worthy because our results demonstrate that BOBBLE is a good trade-off which outperforms RPS and LetFlow in mouse flows FCT in both symmetric and asymmetric topology. © 2021 IEEE.

关键词： Data centers Network topology Smart cities Load management Routing Mice Computer networks

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Constructing Non-binary Asymmetric Quantum Codes via Graphs

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China Communications 2013年第2期10卷 33-41页

作者：马智冷日光魏正超钟淑琴 State key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Information Science and Technology Institute

The theory of quantum error correcting codes is a primary tool for fighting decoherence and other quantum noise in quantum communication and quantum computation. Recently, the theory of quantum error correcting codes has developed rapidly and been extended to protect quantum information over asymmetric quantum channels, in which phase-shift and qubit-flip errors occur with different probabilities. In this paper, we generalize the construction of symmetric quantum codes via graphs (or matrices) to the asymmetric case, converting the construction of asymmetric quantum codes to finding matrices with some special properties. We also propose some asymmetric quantum Maximal Distance Separable (MDS) codes as examples constructed in this way.

关键词： asymmetric quantum codes quantum MDS codes graph construction

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A Modeling Method of Cyberspace Security Structure Based on Layer-Level Division 5

A Modeling Method of Cyberspace Security Structure Based on ...

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5th IEEE International Conference on Computer and Communication engineering Technology, CCET 2022

作者： Zhu, Yuwen Yu, Lei State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Information Security Institute of Information Engineering Beijing100000 China

ISBN: (数字)9781665467353

ISBN: (纸本)9781665467353

As the cyberspace structure becomes more and more complex, the problems of dynamic network space topology, complex composition structure, large spanning space scale, and a high degree of self-organization are becoming more and more important. In this paper, we model the cyberspace elements and their dependencies by combining the knowledge of graph theory. Layer adopts a network space modeling method combining virtual and real, and level adopts a spatial iteration method. Combining the layer-level models into one, this paper proposes a fast modeling method for cyberspace security structure model with network connection relationship, hierarchical relationship, and vulnerability information as input. This method can not only clearly express the individual vulnerability constraints in the network space, but also clearly express the hierarchical relationship of the complex dependencies of network individuals. For independent network elements or independent network element groups, it has flexibility and can greatly reduce the computational complexity in later applications. © 2022 IEEE.

关键词： Graph theory

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