Background dominant colors extraction method based on color image quick fuzzy c-means clustering algorithm

A quick and accurate extraction of dominant colors of background images is the basis of adaptive camouflage design. This paper proposes a Color Image Quick Fuzzy C-Means (CIQFCM) clustering algorithm based on clustering spatial mapping. First, the clustering sample space was mapped from the image pixels to the quantized color space, and several methods were adopted to compress the amount of clustering samples. Then, an improved pedigree clustering algorithm was applied to obtain the initial class centers. Finally, CIQFCM clustering algorithm was used for quick extraction of dominant colors of background image. After theoretical analysis of the effect and efficiency of the CIQFCM algorithm, several experiments were carried out to discuss the selection of proper quantization intervals and to verify the effect and efficiency of the CIQFCM algorithm. The results indicated that the value of quantization intervals should be set to 4, and the proposed algorithm could improve the clustering efficiency while maintaining the clustering effect. In addition, as the image size increased from 128 × 128 to 1024 × 1024, the efficiency improvement of CIQFCM algorithm was increased from 6.44 times to 36.42 times, which demonstrated the significant advantage of CIQFCM algorithm in dominant colors extraction of large-size images.     

基于改进FPA和SVM的装备器材需求预测

精确预测已成为制约器材筹措决策的重难点问题.对此,在对国内外研究分析基础上,提出适用于复杂装备保障的消耗性器材需求预测方法.针对器材消耗规律,构建基于支持向量机的器材需求预测模型,并提出模型约束优化指标;针对器材需求预测约束优化的不确定性,将佳点集种群初始化、Deb可行性比较法、着约束法融入花朵授粉算法,设计面向SVM模型优化的花朵授粉求解算法;以某建制单位器材供应为例,验证方法的可行性和优越性.     

基于演化博弈的结构化无人集群协作控制方法

针对无人集群作战中的分工合作问题,提出了一种基于演化博弈的结构化集群协作控制方法.分析无人集群分工合作需求,基于演化博弈理论,构建结构化集群分工合作模型;在此基础上,理论推导模型的演化动力学过程及博弈均衡解,得出集群分工合作的形成条件;最后,以集群火力打击任务为想定,仿真规则图及一般拓扑上的集群策略演化过程,仿真结果与理论推导相印证,证明了模型方法的合理性与可行性,为相关理论向实际应用转化提供了初步和有意义的探索.     

深度视觉语音生成研究进展与展望

为了进一步推进深度学习技术驱动的视觉语音生成相关科学问题的研究进展,阐述了视觉语音生成的研究意义与基本定义,并深入剖析了该领域面临的难点与挑战;在此基础上,介绍了目前视觉语音生成研究的现状与发展水平,基于生成框架的区别对近期主流方法进行了梳理、归类和评述;最后探讨视觉语音生成研究潜在的问题和可能的研究方向。     

纳米SiO2改性聚合物锂离子电池的研究

研究了一种基于含氟聚合物的聚合物锂离子电池,考察了SiO2纳米粉对聚合物电解质隔膜的机械性能、吸液量以及电导率的影响,用电镜分析探讨了纳米改性聚合物电解质膜的微观结构;并以此纳米改性聚合物隔膜组装了小型的聚合物锂电池,研究了其电性能.