At present, multi-se nsor fusion is widely used in object recognition and classification, since this technique can efficiently improve the accuracy and the ability of fault toleranc e. This paper describes a multi-se...At present, multi-se nsor fusion is widely used in object recognition and classification, since this technique can efficiently improve the accuracy and the ability of fault toleranc e. This paper describes a multi-sensor fusion system, which is model-based and used for rotating mechanical failure diagnosis. In the data fusion process, the fuzzy neural network is selected and used for the data fusion at report level. By comparing the experimental results of fault diagnoses based on fusion data wi th that on original separate data,it is shown that the former is more accurate than the latter.展开更多
In order to support the dynamics of the privileged users with low computation, communica- tion and storage overheads in receivers, a secure broadcast encryption scheme for ad hoc networks based on cluster-based struct...In order to support the dynamics of the privileged users with low computation, communica- tion and storage overheads in receivers, a secure broadcast encryption scheme for ad hoc networks based on cluster-based structure is proposed, as Mu-Vmdharajan＇s scheme cannot securely remove subscribers with data redundancy. In the proposed scheme, we employ polynomial function and filter functions as the basic means of constructing broadcast encryption procedure in order to reduce computation and shortage overhead. Compared with existing schemes, our scheme requires low computation, corrmaunication and storage over- heads in receivers and can support the dynamics of the privileged users. Furthermore, our scheme can avoid n^assive message to exchange for estab-fishing the decryption key between members of the cluster. The analysis of security and perforrmnce shows that our scheme is more secure than Mu- Vmdharajan＇s scheme and has the same speed of encryption and decryption as theirs. So our scheme is particularly suitable for the devices with low power setting such as ad hoc networks.展开更多
文摘At present, multi-se nsor fusion is widely used in object recognition and classification, since this technique can efficiently improve the accuracy and the ability of fault toleranc e. This paper describes a multi-sensor fusion system, which is model-based and used for rotating mechanical failure diagnosis. In the data fusion process, the fuzzy neural network is selected and used for the data fusion at report level. By comparing the experimental results of fault diagnoses based on fusion data wi th that on original separate data,it is shown that the former is more accurate than the latter.
基金This paper was supported in part by the National Natural Sci-ence Foundation of China under Crant No.61070164 the Science and Technology Planning Project of Guangdong Province, China under Crants No. 201013010600025, No. 2010A032000002 the Nat-ural Science Foundation of Guangdong Province, China under Ca-ant No. 815106 32010000022.
文摘In order to support the dynamics of the privileged users with low computation, communica- tion and storage overheads in receivers, a secure broadcast encryption scheme for ad hoc networks based on cluster-based structure is proposed, as Mu-Vmdharajan＇s scheme cannot securely remove subscribers with data redundancy. In the proposed scheme, we employ polynomial function and filter functions as the basic means of constructing broadcast encryption procedure in order to reduce computation and shortage overhead. Compared with existing schemes, our scheme requires low computation, corrmaunication and storage over- heads in receivers and can support the dynamics of the privileged users. Furthermore, our scheme can avoid n^assive message to exchange for estab-fishing the decryption key between members of the cluster. The analysis of security and perforrmnce shows that our scheme is more secure than Mu- Vmdharajan＇s scheme and has the same speed of encryption and decryption as theirs. So our scheme is particularly suitable for the devices with low power setting such as ad hoc networks.
