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Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems
With recent adoption of wireless sensor-actuator networks (WSANs) in industrial automation, industrial wireless control systems have emerged as a frontier of cyber-physical systems. Despite theirExpand
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Cloud manufacturing service composition based on QoS with geo-perspective transportation using an improved Artificial Bee Colony optimisation algorithm
Cloud Manufacturing (CMfg) ambitions to create dedicated manufacturing clouds (i.e. virtual enterprises) for complex manufacturing demands through the association of various service providers’Expand
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Incorporating emergency alarms in reliable wireless process control
Recent years have witnessed adoption of wireless sensor-actuator networks (WSANs) in process control. Many real-world process control systems must handle various emergency alarms under stringentExpand
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Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity
Neural networks based on Long Short-Term Memory (LSTM) are widely deployed in latency-sensitive language and speech applications. To speed up LSTM inference, previous research proposes weight pruningExpand
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Scheduling Methodology for Production Services in Cloud Manufacturing
Cloud Manufacturing (CMfg) is the delivery of resources control and abilities for manufacturing through the internet. It offers a personalized manufacturing service through several processes (e.g.Expand
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Balanced Sparsity for Efficient DNN Inference on GPU
In trained deep neural networks, unstructured pruning can reduce redundant weights to lower storage cost. However, it requires the customization of hardwares to speed up practical inference. AnotherExpand
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Collaborative Fall Detection Using Smart Phone and Kinect
Humanfall detection has attracted broad attentions as sensors and mobile devices are increasingly adopted in real-life scenarios such as smart homes. The complexity of activities in home environmentsExpand
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SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization
In this paper we present a novel and general method to accelerate convolutional neural network (CNN) inference by taking advantage of feature map sparsity. We experimentally demonstrate that a highlyExpand
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Collaborative Planning in Supply Chains by Lagrangian Relaxation and Genetic Algorithms
A collaborative planning framework combining the Lagrangian Relaxation method and Genetic Algorithms is developed to coordinate and optimize the production planning of the independent partners linkedExpand
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Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical
With recent adoption of wireless sensor-actuator networks (WSANs) in industrial automation, industrial wireless control systems have emerged as a frontier of cyber-physical systems. Despite theirExpand
  • 4
  • 1