Results 1 to 10 of about 21,089 (139)
Throughput Maximization Using Deep Complex Networks for Industrial Internet of Things [PDF]
Sensors, 2023 The high-density Industrial Internet of Things needs to meet the requirements of high-density device access and massive data transmission, which requires the support of multiple-input multiple-output (MIMO) antenna cognitive systems to keep high ...
Danfeng Sun +4 more
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IEEE Access, 2022 In this paper, a new robust adaptive nonlinear teleoperation system using an improved extended active observer (IEAOB), adaptive Smith predictor (ASP) and sliding mode control is developed to address the time delay in the communication channels and the ...
Linping Chan +3 more
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Machines, 2022 Under variable working conditions, the tool status signal is affected by changing machine processing parameters, resulting in a decreased prediction accuracy of the remaining useful life (RUL).
Qingqing Huang +5 more
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An Aggregative High-Order Singular Value Decomposition Method in Edge Computing
IEEE Access, 2020 In edge computing, for dimensionality reduction and core data extraction, both edge computing node (ECN) and cloud server may implement a high-order singular value decomposition (HOSVD) algorithm before data are passed to local computing models. However,
Junhua Chen +3 more
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Tool Wear Prediction Based on a Multi-Scale Convolutional Neural Network with Attention Fusion
Information, 2022 Compared with traditional machine learning algorithms, the convolutional neural network (CNN) has an excellent automatic feature learning ability and can complete the nonlinear representation from original data input to output by itself. However, the CNN
Qingqing Huang +4 more
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International Journal of Advances in Scientific Research and Engineering, 2017 This book develops the core system science needed to enable the development of a complex industrial internet of things/manufacturing cyber-physical systems (IIoT/M-CPS). Gathering contributions from leading experts in the field with years of experience in advancing manufacturing, it fosters a research community committed to advancing research and ...
Dimitrios Serpanos, Marilyn Wolf
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IEEE Access, 2020 As a key characteristic for industrial wireless sensor networks, deterministic scheduling aims to ensure that real-time data flows arrive at destination devices under deadline constraints by allocating necessary communication resources, such as time ...
Heng Wang +3 more
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Sensors, 2023 In high-speed railway operational monitoring network systems targeting railway infrastructure as its monitoring objective, there is a wide variety of sensor types with diverse operational requirements.
Wei Fu, Qin Peng, Canwei Hu
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Frontiers in Physics, 2023 Low-light image enhancement (LLIE) has high practical value and development potential in real scenarios. However, the current LLIE methods reveal inferior generalization competence to real-world low-light (LL) conditions of poor visibility.
Yong Chen +4 more
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A Global Clock Skew Estimation Scheme for Hierarchical Wireless Sensor Networks
IEEE Access, 2017 Time synchronization is extremely important for wireless sensor networks (WSNs). For largescale WSNs, hierarchical clock synchronization, which can effectively save energy by reducing communication overhead, has become an attractive approach in practical
Heng Wang, Lun Shao, Min Li, Baoguo Wang
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