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    Chapter and Conference Paper

    Research on Radar Target Detection Method Based on the Combination of MSER and Deep Learning

    Aiming at the problems that arine radar cannot automatically output targets and is difficult to deal with false echoes, this paper adopts the method combining MSER and deep learning to detect radar echoes base...

    Guan** Fang, Wei Wang, Zhiheng Wei, Jun Ye in Frontier Computing (2022)

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    Chapter

    Conclusions and Future Research Directions

    After decades of development, as an important branch of fault diagnosis technology, FE technology and FTC technology based on FE have achieved fruitful results.

    Jun-Wei Zhu, **n Wang, Guang-Hong Yang in Fault Estimation for Network Systems via I… (2022)

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    Chapter

    Introduction

    Since the 1940s, automatic control technology has been widely used in practical engineering fields, such as robotics, chemical industry, aerospace, and nuclear power plants, and continues to play a pivotal rol...

    Jun-Wei Zhu, **n Wang, Guang-Hong Yang in Fault Estimation for Network Systems via I… (2022)

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    Chapter

    IE for Lipschitzian Nonlinear Systems

    In recent years, fault detection and isolation techniques have been extensively studied due to the increasing demands on safety, reliability, and maintainability of practical systems. However, accurate fault i...

    Jun-Wei Zhu, **n Wang, Guang-Hong Yang in Fault Estimation for Network Systems via I… (2022)

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    Chapter

    IE for Time-Varying Delay Systems

    It should be noted that time delay widely exists in reality and is frequently the source of system instability. Sometimes even a small delay may drastically deteriorate the system performance. On the other han...

    Jun-Wei Zhu, **n Wang, Guang-Hong Yang in Fault Estimation for Network Systems via I… (2022)

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    Chapter

    Distributed IE for MASs with Undirected Graph

    In recent years, the multi-agent consensus problem has been extensively studied [130–132].

    Jun-Wei Zhu, **n Wang, Guang-Hong Yang in Fault Estimation for Network Systems via I… (2022)

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    Chapter

    Intelligent IE for MASs

    Note that some limitations exist in the application of the existing observer-based FTC approaches in industrial MASs [135-137]. Firstly, most of the existing FE observers are originally designed for the single...

    Jun-Wei Zhu, **n Wang, Guang-Hong Yang in Fault Estimation for Network Systems via I… (2022)

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    Chapter

    Projected IE for CPSs

    Recently, iterative estimation approaches are presented to improve the estimation accuracy. Typically, for sensor attack reconstruction problem, gradient descent estimation technique based on s-sparsity notion...

    Jun-Wei Zhu, **n Wang, Guang-Hong Yang in Fault Estimation for Network Systems via I… (2022)

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    Chapter

    IE for Uncertain Systems

    It should be pointed out that practical systems always contain uncertainties, which can be attributed to additive unknown internal or external noise, environmental influence, nonlinearities such as hysteresis ...

    Jun-Wei Zhu, **n Wang, Guang-Hong Yang in Fault Estimation for Network Systems via I… (2022)

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    Chapter

    Distributed IE for Complex Networks

    In the previous chapter, we mainly discussed the problem of single-system . In recent years, the fault diagnosis of interconnected systems has become more and more researchers’ attention.

    Jun-Wei Zhu, **n Wang, Guang-Hong Yang in Fault Estimation for Network Systems via I… (2022)

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    Chapter

    Distributed IE for MASs with Directed Graph

    Most of the existing results require the unknown dynamics of the followers to be state dependent, thus they cannot deal with the external disturbances. For this reason, this chapter investigates the cooperativ...

    Jun-Wei Zhu, **n Wang, Guang-Hong Yang in Fault Estimation for Network Systems via I… (2022)

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    Chapter

    IE for LPV Systems

    The previous chapters are mainly focused on network systems with linear dynamics. Despite of the aforementioned achievements, satisfactory fault reconstruction performance is still difficult to be obtained for...

    Jun-Wei Zhu, **n Wang, Guang-Hong Yang in Fault Estimation for Network Systems via I… (2022)

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    Chapter and Conference Paper

    Combined General Vector Machine for Single Point Electricity Load Forecast

    General Vector Machine (GVM) is a newly proposed machine learning model, which is applicable to small samples forecast scenarios. In this paper, the GVM is applied into electricity load forecast based on singl...

    Binbin Yong, Yongqiang Wei, Jun Shen, Fucun Li, Xuetao Jiang in Frontier Computing (2020)

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    Chapter and Conference Paper

    The Taboos of Taiwaness Ghost Month

    Virtual reality has become a trending technology in recent years. Owing to technological development, folk customs are no longer valued by younger generation. Therefore, by combining the main factors of “trad...

    Luo Ya Huang, Zi Jun Lian, Wan Ju Chen, Jou Ying Chang, Ko Wei Tai in Frontier Computing (2020)

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    Chapter and Conference Paper

    Research on Offline Transaction Model in Mobile Payment System

    Mobile payment is a killer wireless network service in the e-commerce. Currently, the typical e-commerce modes based on mobile payment still encounter the problems to meet consumers’ daily needs such as: suppo...

    Songnong Li, **aorui Hu, Fengling, Yu Zhang, Wei Dong, Jun Ye in Frontier Computing (2019)

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    Chapter and Conference Paper

    Research on a Credit Reservation Mechanism for Concurrent Multi-services

    A new credit reservation mechanism is proposed to solve the problem of online charging shared balance allocation of concurrent multi-services in a short time. In the new mechanism, the moving average based sli...

    Jun-Qiang Guo, Ren-Yuan Zhang, Guo-Zhao Wei in Electronics, Communications and Networks V (2016)

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    Chapter and Conference Paper

    An Efficient Study on Large and Complex Network Modeling

    In order to support the automatic construction of an attack graph, a simple, flexible and complete network system model is necessary, which uses formal methods to describe network system resources and security...

    Jun-Chun Ma, Min Li, Shan Chen, Wei Zhang in Electronics, Communications and Networks V (2016)

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    Chapter and Conference Paper

    Cloud Feedback Assistance Based Hybrid Evolution Algorithm for Optimal Data Solution

    This paper develops a cloud based parallel and distributed evolutionary hybrid algorithm with feedback assistance to help planners solve the data optimal problems such as travel salesman problems. Each step an...

    Ming-Shen Jian, Fu-Jie Jhan, Kuan-Wei Lee in Information Technology Convergence (2013)