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In this paper, an overview of our recent development in the effective modeling of microwave filters is presented, highlighting the application of neural network (NN) modeling technique in the design and optimization of multiplexers. For this application, NN models are based on much simplified EM data of only critical filter structures. The cost of model development is therefore significantly reduced...
This paper details an improved method in the 2014 PHM Data Challenge which was organized by the IEEE Reliability Society. The task is to estimate the State of Health (SoH) of a proton exchange membrane fuel cell (PEMFC) system using performance data. The estimation of SoH is a key technique to improve fuel cell system's life span and reliability. This method bases on the similarity relationship in...
In this paper, a High Precise Optimization Algorithm for manipulating multi-layered feed-forward neural network is studied. Its basic principle is: defining neural network average error as objective function, weights and thresholds as design variables, through design variables rationally sorted, objective function is dynamically formed. Compared the new method with BP, the optimum step-length can...
Nowadays as low carbon economy is greatly advocated worldwide, the electricity consumption caused by a huge number of embedded computer systems is gaining more and more attention. Different instruction set, software algorithm and high-level software architecture can significantly affect the system energy consumption. In this paper, we first analyze the relations between software power consumption...
Network survivability is an important topic for the Internet. To improve the performance of the Internet during failure, IP Fast Reroute (IPFRR) mechanisms are proposed to establish backup routes for failure-affected packets. NotVia, a most prominent one, provides 100% protection coverage for single-node failures. However, it brings in nontrivial computing and memory pressure to routers with special...
Identification of non-native personnel is a critical piece of information for making crucial on-the-spot decisions for security purposes. Identification of a non-native speaker is often readily apparent in normal conversation with a native speaker through speech content and accent. Such identification which requires familiarity with language nuances may not be possible for a non-native interrogator...
Based on the relevant papers, some new properties such as weak null-additivity, auto-continuity from above (or from below), null-continuity from above (or from below) and convergence theorem of k-quasi-additive fuzzy integrals on fuzzy sets are given.
A discrete signal with good periodic correlation property is discussed, which is pseudorandom punctured binary sequence pairs. The invariant transformation properties and combinatorial admissibility conditions of it were presented. Based on these properties some pseudorandom punctured binary sequence pairs with certain length were searched out. The research results show that it has high energy efficiency...
A new discrete array signal with good periodic correlation property is discussed, which is ZCZ array pairs. The invariant transformation properties of it were presented. Based on perfect array pair and orthogonal matrix, ZCZ array pairs set with certain volume, family size and zero correlation zone can be synthesized through row or column interleaved technique. Except the binary case, this technique...
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