KEYWORDS: Probability theory, Sensor networks, Sensors, Data fusion, Chemical elements, Detection and tracking algorithms, Networks, Fusion energy, Network architectures, Curium
Data fusion technology is an efficient way to decrease network energy consumption and recognition uncertainty of single
sensor node for clustering wireless sensor networks. However, Dempster's combination rule may induce illogical results,
when the information from different intra-cluster nodes highly conflict due to the background noise or flaws of the
sensor itself. Through analyzing all evidences collected by cluster header, a novel aggregation algorithm based on
support degree coefficient and conflict intensity is proposed. In the method, conflict intensity between every two bodies
of evidence was analyzed, which divides conflict probability into useful and useless information respectively. In order to
weaken the effects of abnormal evidences on fusion result, the combination sequence is made to be descending sort
according to total conflict intensity of evidence. Additive strategy is adopted to obtain the support degree coefficient of
single focal element of evidence set, based on which the useful information is assigned to different certainty propositions
respectively. Numerical example showed that the proposed algorithm can provide more reasonable results with good
convergence compared with other several modified combination rules.
The paper reports that InP epitaxial layers were grown on iron doped semi-insulating GaAs substrate by low-pressure metalorganic chemical vapor decomposition (LP-MOCVD). Prior to the growth of InP, amorphous InP buffer layer was grown at 400°C, then the substrate zone temperature was raised to the normal InP growth temperature and InP epitaxial layer was grown at 665°C. The obtained InP layers have been characterized by transmission electron microscope, optical microscope, X-ray diffraction, photoluminescence measurement.
A novel InP-based micromechanied tunable photodetector with the structure of OMITMC (One-Mirror-Inclined Three-Mirror-Cavity)is presented. The tuning characteristic of the device is analysed in the way of electrical actuation. Through simulation of the filter transmission spectra and the quantum efficiency, the characteristics of high tunability, narrow bandwidth and high quantum efficiency are analysed. As a result, the photodetector is tuned with 30nm,with a quantum efficiency of 59% and a linewidth of 1.2nm, when actuated by 10 volts.
In this letter,a InP-based micromechanical tuneable filter by electrostatic actuation is introduced. Through simulation of the DBR reflectance spectra and the F-P cavity transimission spectra,the filter performance is studied. By means of finite element method,the tunning characteristics of the filters based on several typical micromechanical structures are presented. The dynamical behavior of the top mirror is investigated.In addition,the flatness of the top mirror are compared among these structures. It would be valuable reference for InP-based micromechanical F-P cavity device design and optimization.
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