Spatial data balancing distribution can evidently improve the performance of parallel spatial database in shared nothing parallel architecture. Considering spatial locality and unstructured variable length characteris...
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Nowadays many Ecommerce corporations need to implement effective content management for controlling the data resources of their websites. In this paper, a role-authorized and MVC-based content management method is pro...
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The extraction of periodic and statistically independent signals is discussed. This problem can be modelled from the perspective of blind source extraction. An algorithm is proposed to extract such kind of signal from...
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Quantum genetic algorithm is a recently proposed new optimization algorithm combining quantum algorithm with genetic algorithm. It characterizes good population diversity, rapid convergence and good global search capa...
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Quantum genetic algorithm is a recently proposed new optimization algorithm combining quantum algorithm with genetic algorithm. It characterizes good population diversity, rapid convergence and good global search capability and so attracts serious and wide attentions. This paper proposes a novel quantum genetic algorithm called variable-boundary-coded quantum genetic algorithm (vbQGA) in which qubit chromosomes are collapsed into variable-boundary-coded chromosomes instead of binary-coded chromosomes. In this way we can obtain much shorter chromosome strings. The method of encoding and decoding of chromosome is first described before a new adaptive selection scheme for angle parameters used for rotation gate is put forward based on the core ideas and principles of quantum computation. Eight typical functions are selected to optimize to evaluate the effectiveness and performance of vbQGA against standard genetic algorithm (sGA) and genetic quantum algorithm (GQA) proposed. The results show that vbQGA is significantly superior to sGA in all aspects and outperforms GQA in robustness and solving velocity, especially for multidimensional and complicated functions.
A direct adaptive control method with a simple identification of the controller parameters is presented for a class of uncertain time-varying nonlinear systems. The systems are divided into a finite number of subsyste...
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A direct adaptive control method with a simple identification of the controller parameters is presented for a class of uncertain time-varying nonlinear systems. The systems are divided into a finite number of subsystems, which are interpolated by functions of an exogenous scheduling variable. The adaptive method yields stability of all signals in the closed-loop, as well as convergence of the state vector to a residual set around the equilibrium, whose size can be set by the choice of several design constants. The effectiveness of the presented method with global convergence and less plant information is demonstrated by simulation results.
In this paper, we started from the point of digital preservation and development of large-scale cultural heritage by combining the Global Positioning System (GPS) technology, the traditional single-point measurement w...
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The performance of Langevin transducers may be degraded if incorrect mechanical pre-stress is applied. A model-based diagnosis method for the pre-stress of Langevin transducers is studied. An equivalent circuit is use...
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The performance of Langevin transducers may be degraded if incorrect mechanical pre-stress is applied. A model-based diagnosis method for the pre-stress of Langevin transducers is studied. An equivalent circuit is used to model the transducer. Based on the measured electrical admittances of transducers for various pre-stress levels, the parameters of the equivalent circuit model were identified by using nonlinear least-square estimation techniques. The model parameter sensitivity with respect to varying pre-stress was analyzed. The result shows the modal damping and admittance maximum have higher sensitivity and are suitable for the diagnosis of transducer pre-stress.
Fault and fault model is the fundament of IC diagnosis. Fault model based on IDDT and its test is the hot issue of modern IC fault diagnosis at present. Open and short fault models of inverter, NAND gate, and SRAM of ...
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Fault and fault model is the fundament of IC diagnosis. Fault model based on IDDT and its test is the hot issue of modern IC fault diagnosis at present. Open and short fault models of inverter, NAND gate, and SRAM of CMOS technology were built in this paper. In the experiments, we selected the deep sub-micron of 0.18 μm CMOS technology to simulate with HSPICE. The simulations of IDDT waveforms and FFT transform waveforms of different fault models were made and the results were indicated that the IDDT test method can detect the open and short fault of CMOS devices effectively.
Now 32 bit embedded RISC microprocessor is used more largely with the development of IC industry. ARM microprocessor is a good choice for an embedded system. It provides many different kinds of interfaces for special ...
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ISBN:
(纸本)9781424448876;9781424448883
Now 32 bit embedded RISC microprocessor is used more largely with the development of IC industry. ARM microprocessor is a good choice for an embedded system. It provides many different kinds of interfaces for special application. In this paper, an embedded uClinux system based on ARM has been developed. We have successfully transplanted uClinux operating system into ARM hardware platform, and gave the developing and loading code of the uClinux device driver and the flow chart. We researched the whole process of how to develop embedded system drivers by designing the wiring harness testing instrument.
The detailed design and analysis for measuring characteristics of via holes in microwave circuits are presented, including the design of devices under test(DUT) and the test fixtures. Then the methodology of de-embedd...
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The detailed design and analysis for measuring characteristics of via holes in microwave circuits are presented, including the design of devices under test(DUT) and the test fixtures. Then the methodology of de-embedding based on TRL calibration is introduced which can help to extract the scattering parameters of via holes from the original measured data. The methodology including design, measurement and analysis will help the study of microstrip via holes.
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