Changing weather condition,region height and meteorological parameters of atmosphere determines the feasibility of proposed research,technical and commercial applications of THz electromagnetic wave *** to Internation...
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Changing weather condition,region height and meteorological parameters of atmosphere determines the feasibility of proposed research,technical and commercial applications of THz electromagnetic wave *** to International Telecommunication Union Radio communication Sector(ITU-R)recommendation P.676-9,the paper programmed,simulated and calculated THz band atmospheric gases attenuation under different water-vapour density(0,5,7.5,15g/m3),temperature(-20,15.40℃),barometric pressure(80,101.3,110kPa),***,based on the solid electronics THz band T/R modules,series 330GHz wave propagation attenuation experiment are carried out under certain atmosphere *** experimental results of IF power show good agreement with the calculation results,the power discrepancy less than 1.5dB.
An adaptive distributed differential evolution algorithm is proposed based on the change of the individual's fitness value. Firstly, the initial population is divided into several subpopulations. When the migratio...
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An adaptive distributed differential evolution algorithm is proposed based on the change of the individual's fitness value. Firstly, the initial population is divided into several subpopulations. When the migration condition is satisfied, the best individual in each subpopulation will replace the worst individual of its neighbor subpopulations according to the Von Neumann topology. The migration mechanism among subpopulations enables the information to be communicated in the whole population. Meanwhile, the adaptive mechanism of F and CR is presented for assigning different F and CR to each individual according to the individual's fitness. Numerical results show that, the proposed algorithm is beneficial to explore the solution space, which can avoid the premature convergence and search the excellent solutions.
This paper explores the design of a collimating lens based on freeform method. With this freeform structure, the light can be propagated as nearly parallel light which allow the light be transmitted to a large distanc...
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This paper explores the design of a collimating lens based on freeform method. With this freeform structure, the light can be propagated as nearly parallel light which allow the light be transmitted to a large distance without substantial loss.
With the advent of the information age, the data volumes of various industries are in explosive growth, which increasingly highlights the importance of data. When a disaster occurs, how to recover the data completely ...
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Data generated by various fields are increasing exponentially and thus results in challenges for data performances in both scales of diversity and complexity. The problem how to solve the bottlenecks of low-bandwidth ...
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Data generated by various fields are increasing exponentially and thus results in challenges for data performances in both scales of diversity and complexity. The problem how to solve the bottlenecks of low-bandwidth networks has been of fatal significance for all kinds of network status. We present a new approach on improved optimization for data disaster recovery system (DDRS) over low-bandwidth networks that not only aims to improve the defects and deficiencies of mainstream DDRS but also helps ensure the reliable network resources for operators to conduct multi-services. A novel bandwidth self-adaptive approach (BSAA) for data packing replication was essentially established to make contribution to the integral performance improvement. A Hidden Markov Model (HMM) for predicting network status was also built to ensure system availability and stability. Experiments showed that the DDRS over low-bandwidth networks named InfoDr can effectively optimize the workload with better performance and better application self-adaptability for multi-services.
When the traditional SNR estimation algorithm based on singular value decomposition (SVD) is applied to the digital data analysis of spaceflight TT&C system, problem of large deviation arises. This paper analyzes ...
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ISBN:
(纸本)9781634392785
When the traditional SNR estimation algorithm based on singular value decomposition (SVD) is applied to the digital data analysis of spaceflight TT&C system, problem of large deviation arises. This paper analyzes the limitations of SVD, and proposes a modified singular value decomposition (MSVD) SNR estimation algorithm. Before estimating SNR by use of SVD, MSVD does some processing to whiten noise, such as band-pass, down-sampling, and up-sampling. The simulation results show that this algorithm can, within a large range, accurately estimate the actually received SNR, effectively improving the application scope of traditional algorithms.
GM (1, 1) is a biased grey exponential model, whose accuracy depends on the structure of background values and the selection of original conditions. Current literatures optimized GM (1, 1) models just by optimizing ba...
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With the rapid development of complex adaptive systems, traditional modeling and simulation methods have been unable to meet the need of accurate modeling of complex adaptive systems. Therefore, we need a way to accur...
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With the increasing abundance of Web Services across Internet, Quality of Service (QoS)-based service recommendation has become a hot issue. It is necessary to predict the missing values of QoS for service recommendat...
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In this paper a method is introduced to simulate the complexsystem by ABMS. space system can be considered a complexsystem that is composed of many satellites,which need a powerful and flexible method to study, MAS ...
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