43 Result(s)
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Chapter and Conference Paper
Removal of EOG Artifact in Electroencephalography with EEMD-ICA: A Semi-simulation Study on Identification of Artifactual Components
Purpose: The electroencephalography (EEG) signals recorded in clinical settings are usually corrupted by electrooculography (EOG) artifacts. EEMD-ICA is a commonly used method for removing EOG artifacts. This stu...
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Chapter and Conference Paper
A Reinforcement-Learning-Driven Bees Algorithm for Large-Scale Earth Observation Satellite Scheduling
The Earth Observation Satellite Scheduling Problem (EOSSP) is difficult to solve due to its scale and constraints. Through analysing the problem, we build a mathematical programming model of the EOSSP. After t...
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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...
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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.
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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...
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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...
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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...
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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].
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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...
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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...
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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 ...
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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.
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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...
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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...
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Chapter and Conference Paper
Research on Network Optimization and Network Security in Power Wireless Private Network
With the explosive growth of communication demand, all kinds of services require higher and higher wireless communication indicators, and the power wireless private network and 4G public network are not enough...
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Chapter and Conference Paper
An Improved SMA Algorithm for Solving Global Optimization Problems
In this paper, an improved slime mould optimization algorithm (iSMA) is proposed to solve global optimization problems. The iSMA adopts a dominant-non-dominant swarm partitioning strategy and introduces a Gaus...
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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...
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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...
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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...
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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...
