Troublesome incidents like sudden water inflows increase the risk of collapse accidents in tunnel excavation. In this study, a data-driven underground water prediction method is proposed based on trend features extrac...
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In this paper, a novel hybrid model is proposed for online prediction of rate of penetration (ROP) in drilling process, which including two parts (online data pre-processing and online hybrid modeling). In the first p...
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Geo-hazards have become one of the main disasters endangering the safety of people's lives and property in the world. In order to improve the early warning of disasters, a persistent monitoring method of multi-age...
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This paper presents an improved stability criterion and controller design scheme condition for a networked control system under denial of service (DoS) attack. Firstly, the DoS attack interval is divided into attack i...
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Landslide disasters are extremely destructive. Accurate identification of landslides plays an important role in disaster assessment, loss control and post-disaster reconstruction. This paper proposes a semantic segmen...
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Timely and accurate anomaly detection is of great importance for the safe operation of the drilling process. To detect bit bounce during the drilling process, this paper proposes a method based on interval augmentatio...
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Extraction of relations among entities from texts is critical for domain knowledge representation. In this paper, an association graph was constructed to represent the dependencies among entities and relations, upon w...
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This paper explores the finite-time synchronization of a class of discrete-time nonlinear singularly perturbed complex networks using a dynamic event-triggered mechanism (DETM). The DETM is designed to optimize packet...
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This article is concerned with a class of nonlinear and nonautonomous functional Hopfield neural networks with impulsive *** existence of attracting set and invariant set of the desired impulsive differential equation...
This article is concerned with a class of nonlinear and nonautonomous functional Hopfield neural networks with impulsive *** existence of attracting set and invariant set of the desired impulsive differential equations is ***,we construct a novel vector inequality,which considers the features of *** on the more general vector inequality,we ensure the positive invariant set and global attracting set for a class of the impulsive functional differential *** means of numerical simulation,the effectiveness of our theoretical results is demonstrated.
This paper is concerned with the stability of discrete-time networked control systems with network induced delay and malicious packet dropout. Firstly, network induced delay and malicious packet dropout are analyzed, ...
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