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Shuang Q.,Wuhan University of Technology | Shuang Q.,Key Laboratory of Fiber Optic Sensing Technology and Information Processing
Sensors and Transducers | Year: 2013

In this paper, the author successfully proposed a new magnetic grid displacement data fitting model, based on partial least squares regression. Firstly, sinusoidal voltage is generated by the movement of magnetic sense hall on top of alnicos array. Then, handle the experimental data by the partial least squares fitting, obtained the relationship between values of Hall and displacement, and finally finish the displacement measure. The experiment results indicated that: This design can achieve displacement fitting goodness 99.98 % and maximum deviation of 0.1 mm. This method largely simplifies the production process of magnetic grid displacement sensor, reduces costs and achieves mass production. It has important implications in some special environment such as high temperature, low temperature, underwater and so on. © 2013 IFSA. Source


Bai W.,Wuhan University of Technology | Yang M.,Wuhan University of Technology | Yang M.,Key Laboratory of Fiber Optic Sensing Technology and Information Processing | Dai J.,Wuhan University of Technology | And 3 more authors.
Optics Express | Year: 2016

A novel relative humidity (RH) sensing network based on ultraweak fiber Bragg gratings (FBGs) is proposed and demonstrated. Experiment is demonstrated on a 5 serial ultra-weak FBGs sensing network chopped from a fiber array with 1124 FBGs. Experimental results show that the corresponding RH sensitivity varies from 1.134 to 1.832 pm/%RH when ambient environmental RH changes from 23.8%RH to 83.4%RH. The lowreflectance FBGs and time-division multiplexing (TDM) technology makes it possible to multiplex thousands of RH sensors in single optical fiber. © 2016 Optical Society of America. Source


Yang M.,Wuhan University of Technology | Yang M.,Key Laboratory of Fiber Optic Sensing Technology and Information Processing | Li Z.,Wuhan University of Technology | Dai J.,Wuhan University of Technology | And 3 more authors.
Measurement Science and Technology | Year: 2013

Pd-based thin films and sol-gel WO3 coatings are two kinds of hydrogen sensitive elements used in hydrogen concentration sensing and detection. Optical fiber hydrogen sensors are very promising solutions for flammable hydrogen detection, when the sensitive materials are integrated with optical fiber sensors. This paper reviews the sensing performance of optical fiber hydrogen sensors with these two sensitive materials, which are developed at the National Engineering Laboratory for Optical Fiber Sensing Technologies in Wuhan University of Technology. © 2013 IOP Publishing Ltd. Source


Zhiyong Y.,Wuhan University of Technology | Zhiyong Y.,Key Laboratory of Fiber Optic Sensing Technology and Information Processing | Chunlin L.,Wuhan University of Technology | Chunlin L.,Nanjing University | And 2 more authors.
Journal of Software Engineering | Year: 2014

The present study proposes a dynamic replica management strategy based on Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in the cloud storage system. The replica management strategy includes the replica placement algorithm and the replica number strategy. The replica placement algorithm sorts the nodes by TOPSIS according to the node performance and load, the replicas are placed in the nodes with high performance and low load. The replica number strategy designs the reHability model and the availability model to compute the number of replicas, the initial number of the replicas is decided according to the reliability model and the number of the replicas is adjusted dynamically according to the availability model. Experimental results show that the strategy in the study has better performance in response delay and load-balance than the Default Replica Management Strategy in Hadoop (DRMSH) distributed file system. © 2014 Academic Journals Inc. Source


Liu Q.,Key Laboratory of Fiber Optic Sensing Technology and Information Processing | Niu H.,Key Laboratory of Fiber Optic Sensing Technology and Information Processing | Xu W.,Wuhan University of Technology | Zhang D.,Key Laboratory of Fiber Optic Sensing Technology and Information Processing
Computer Networks | Year: 2014

Because of the increasing growth of spectrum utilization in wireless networks, dynamic spectrum allocation (DSA) using cognitive radio has recently attracted attention. DSA provides a promising communication paradigm to relieve the bottleneck that arises in the spectrum utilization of wireless networks. In a cognitive wireless network, deficient matching between user demands and spectrum resources can result in communication deterioration; however, superfluous matching can lead to inefficient spectrum utilization. In this study, a service-oriented, multi-attribute normalization model is developed that considers user demands and spectrum characteristics. Based on this model, a service-oriented DSA, which applies the graph coloring problem (GCP) and an enhanced particle swarm optimization (PSO) method, is proposed to efficiently satisfy user service demands and achieve better utilization and fairness rewards. The simulation results demonstrate that the algorithm satisfies the requirements for accurate spectrum allocations in cognitive wireless networks and performs better with respect to iteration efficiency and utilization rewards than the existing algorithms. © 2014 Elsevier B.V. All rights reserved. Source

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