Results 1 to 10 of about 36,051 (317)
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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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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A Lightweight XMPP Publish/Subscribe Scheme for Resource-Constrained IoT Devices
IEEE Access, 2017 The development of wireless technology like Internet Protocol version 6 over Low power Wireless Personal Area Networks, which defines IP communication for resource-constrained networks enables communication on the lower layers, while the diverging and ...
Heng Wang +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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Self-attention-based graph transformation learning for anomaly detection in multivariate time series
Complex & Intelligent SystemsMultivariate time series anomaly detection has widely applications in many fields such as finance, power, and industry. Recently, Graph Neural Network (GNN) have achieved great success in this task due to their powerful ability of modeling multivariate ...
Qiushi Wang +4 more
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MathematicsWith the rapid development of the Industrial Internet of Things (IIoT) and intelligent manufacturing, massive amounts of heterogeneous and non-independent, identically distributed (non-IID) data are continuously generated in industrial environments ...
Yingying Luo +4 more
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A Novel Machine Learning Technique for Fault Detection of Pressure Sensor
EntropyPressure transmitters are widely used in the process industry for pressure measurement. The sensing line, a core component of the pressure sensor in the pressure transmitter, significantly impacts the accuracy of the pressure transmitter’s output.
Xiufang Zhou +7 more
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Mixed Criticality Scheduling for Industrial Wireless Sensor Networks
Sensors, 2016 Wireless sensor networks (WSNs) have been widely used in industrial systems. Their real-time performance and reliability are fundamental to industrial production. Many works have studied the two aspects, but only focus on single criticality WSNs.
Xi Jin +4 more
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International Journal of Reconfigurable Computing, 2018 Driven by the importance of energy consumption in system-on-chip design as an evaluation factor, this paper presents a design methodology at the system level to optimize power consumption on ARM-based architecture for real-time video processing.
Lilia Kechiche +2 more
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Node-Identification-Based Secure Time Synchronization in Industrial Wireless Sensor Networks
Sensors, 2018 Time synchronization is critical for wireless sensors networks in industrial automation, e.g., event detection and process control of industrial plants and equipment need a common time reference.
Zhaowei Wang +4 more
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