Line tension of the contact line plays an important role in microscopic wetting, but its understanding remains vague and the reported values are far from convergence. We note in most studies the contact lines are trea...
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Event-triggered control has attracted considerable attention for its effectiveness in resource-restricted applications. To make event-triggered control as an end-to-end solution, a key issue is how to effectively lear...
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How to effectively control the cost of software development and improve the cost efficiency has always been the focus of party A. Software cost estimation process is discussed in this paper, we studied the purchasing ...
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In recent years, geometry-based image and video processing methods have aroused significant interest. This paper considers progress from four aspects: geometric characteristics and shape, geometric transformations, e...
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In recent years, geometry-based image and video processing methods have aroused significant interest. This paper considers progress from four aspects: geometric characteristics and shape, geometric transformations, embedded geometric structure, and differential geometry methods. Current research trends are also pointed out.
In the evaluation of equipment system of systems(So S), equipment data has shown some new characters, such as big volume, wide range sources, and dynamic variance. The paper pointed out the idea to evaluate equipment ...
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ISBN:
(纸本)9781510803084
In the evaluation of equipment system of systems(So S), equipment data has shown some new characters, such as big volume, wide range sources, and dynamic variance. The paper pointed out the idea to evaluate equipment So S based on big data analysis techniques. The outline of the method is provided from two points of view, namely the big data processing techniques and equipment So S evaluation methods. Based on big data, equipment So S efficiency evaluation, counter evaluation, and other deeper level applications, such as intelligence processing and situation analysis, can be made. The method is a new method in the equipment So S evaluation field.
As one of the most important part of weapon system of systems(WSoS),quantitative evaluation of reconnaissance satellite system(RSS)is indispensable during its construction and *** at the problem of nonlinear effective...
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As one of the most important part of weapon system of systems(WSoS),quantitative evaluation of reconnaissance satellite system(RSS)is indispensable during its construction and *** at the problem of nonlinear effectiveness evaluation under small sample conditions,we propose an evaluation method based on support vector regression(SVR)to effectively address the defects of traditional *** the performance of SVR is influenced by the penalty factor,kernel type,and other parameters deeply,the improved grey wolf optimizer(IGWO)is employed for parameter *** the proposed IGWO algorithm,the opposition-based learning strategy is adopted to increase the probability of avoiding the local optima,the mutation operator is used to escape from premature convergence and differential convergence factors are applied to increase the rate of *** experiments of 14 test functions validate the applicability of IGWO algorithm dealing with global *** index system and evaluation method are constructed based on the characteristics of *** validate the proposed IGWO-SVR evaluation method,eight benchmark data sets and combat simulation are employed to estimate the evaluation accuracy,convergence performance and computational *** to the experimental results,the proposed method outperforms several prediction based evaluation methods,verifies the superiority and effectiveness in RSS operational effectiveness evaluation.
The space partitioning algorithm based on the rounding and addressing operations has been proved to be an efficient space partitioning algorithm with the potential for real-time *** improvement on this kind of space p...
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The space partitioning algorithm based on the rounding and addressing operations has been proved to be an efficient space partitioning algorithm with the potential for real-time *** improvement on this kind of space partitioning algorithms for solving complex 3D models is *** examples show that the efficiency of the improved algorithm is better than that of the original *** the size of most target elements is smaller than the size of spatial grids,the efficiency of the improved method can be more than four times of that of the original *** adaptive method of space partitioning based on the improved algorithm is developed by taking the surface element density or the curvature as the threshold for deep partitioning and conducting the deep partitioning using the octree method.A computer program implementation for applying the method in some typical applications is discussed,and the performance in terms of the efficiency,reliability,and resource use is *** testing shows that the results of the adaptive spacing partitioning are more convenient for the follow-up use than that of the basic uniform space ***,when it is used to calculate the electromagnetic scattering of complex targets by the ray tracing(RT)method,the adaptive space partitioning algorithm can reduce the calculation time of the RT process by more than 40%compared with the uniform space segmentation algorithm.
In order to deal with aliasing distortions of Doppler frequencies shown in time-frequency representation( TFR) with aspect undersampling,an approach using adaptive segmental compressive sampling according to the asp...
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In order to deal with aliasing distortions of Doppler frequencies shown in time-frequency representation( TFR) with aspect undersampling,an approach using adaptive segmental compressive sampling according to the aspect dependencies of the scattering centers is proposed. The random noise problem induced by compressive sampling is solved by employing a series of signal processing techniques of filtering,image transformation and Hough Transform. Three examples are presented to verify the effectiveness of this approach. The comparisons between the built models and the precise scattered fields computed by a well-validated full-wave numerical method are investigated,and the results showgood agreements between each other.
Flow is one of the most fundamental physical process in natural *** visualization can give an intuitive view of flow fields and contribute to the observation and analysis of *** flow fields are all dynamic while tradi...
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ISBN:
(纸本)9781467399050
Flow is one of the most fundamental physical process in natural *** visualization can give an intuitive view of flow fields and contribute to the observation and analysis of *** flow fields are all dynamic while traditional visualization approaches are not able to reflect the trends of flows or the diversity inside *** on the research of Lagrangian Coherent Structures in Computational Fluid Dynamics,the concept of flow field topology is redefined,two typical 2D dynamic vector fields are selected for topology analysis,and the results are used to optimize the visual effects of geometric *** show that visualization of 2D dynamic vector fields based on topology analysis can extract the coherent structures of flows which are helpful to the comprehension of flow for researchers and description of characteristic difference inside flows.
Parallel computer architectures bring synchronization problem which bog down the *** the speed gap between CPU and memory keeps growing,making data operation more *** some data-intensive applications,there are similar...
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ISBN:
(纸本)9781467399050
Parallel computer architectures bring synchronization problem which bog down the *** the speed gap between CPU and memory keeps growing,making data operation more *** some data-intensive applications,there are similar or coincident child operations in parallel threads,which take unnecessary *** effectively exploit parallelization,reduce the price of data operation,the concept of data-centered computing is *** considering the similarity and relations between data and merging them into unions as threads' input,data-centered computing can eliminate data operation redundancy of data-intensive *** implementation in web service proves that data-centered computing can effectively improve performance.
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