基于支持向量机的体数据分类算法研究

在由工业CT图像构成的体数据中,低密度材质的灰度与背景及伪影的灰度接近,影响了分类的准确性,进而影响体绘制的结果.针对这一问题,提出了一种基于支持向量机的体数据分类算法.首先以体素的灰度、梯度、局部直方图的熵和矩为样本特征进行训练,得到决策函数,并通过决策函数对体数据进行类别标记,再将具有相同标记的体素的灰度值变换到指定的灰度区间,最后利用阻光度传递函数对体素进行阻光度赋值,完成体数据的分类.实验结果表明,所提出的算法较好的实现了体数据的分类,体绘制结果清晰,且能够实现试件的模拟拆卸.     

考虑随机需求和库存决策的多商品物流网络设计的优化模型与算法

提出一种将库存控制决策和设施选址模型相结合的优化方法,用来解决一类多商品物流网络优化设计问题, 网络内的用户需求是随机的且服从正态分布,优化设计的目的是在满足一定服务水平的前提下,最小化物流网络内包括建设费用、储存费用 和运输费用在内的总成本费用,建立了一个能同时描述设施选址决策和库存决策的多商品物流网络设计问题的非线性混合整数优化模型,并使用组合模拟退火算法对其进行求解分析,最后的算例计算结果验证了模型和算法的有效性.     

Codebook design for uplink of densely small cells

The shrinking of cell-size brings significant changes to the wireless uplink of densely small cells （DSCs）. A codebook design is proposed that utilizes the strong line of sight （LOS） chan- nel component existing in a DSC system for uplink of the DSC system. To further improve the uplink performance, the high-rank codebook is designed based on singular value decomposition （SVD） due to the unnecessary preservation of strict constant modulus in the DSC system. And according to the simulation result, the proposed codebook leads to significant sum-rate gain and appreciable block error rate （BLER） performance improvement in the DSC system.     

弹性轨道上二自由度磁浮车辆动力学仿真研究

建立了二自由度磁浮车辆轨道耦合动力学模型,选用合理的控制方案和数值算法,对车轨耦合动力响应基本特性进行了数值仿真,证明了所采用的控制方案能实现磁浮列车稳定悬浮运行。此项研究对进一步探讨磁浮车轨相互作用问题,完善系统设计参数具有参考价值。     

中国城乡居民消费乘数效应的比较研究

基于社会核算矩阵(SAM)乘数理论和中国细化社会核算矩阵,本文对中国城乡居民消费乘数效应进行了比较研究.分别测算了按不同收入分组的中国城乡居民关于七类商品的账户乘数效应和固定价格乘数效应.并对账户乘数效应和固定价格乘数效应进行了比较研究.分析了中国城乡居民的消费潜力,并揭示了其消费需求结构特征和不同收入水平的居民在消费潜力上的差异.     

利用元胞自动机模拟滩角地形

滩角是滩面上的一种特征地形.本文利用改进的元胞自动机模型,对滩角地形进行了模拟.结果表明滩角的形成过程具有自组织特征,因此滩角可以通过海滩泥沙、地形与波、流的自组织过程形成.指出自组织理论为从不同的侧面认识和研究海岸带现象与过程提供了一扇窗口.     

一种基于新的条件信息量的属性约简算法

为了获得决策系统中更好的相对约简,讨论了属性约简与条件信息量的关系,提出了新的条件信息量,由此定义新的属性重要性。统一了一致决策表和不一致决策表属性约简方法,以新的属性重要性为启发信息,给出了计算新的条件信息量的高效算法。理论分析和实验结果表明,与现有的基于条件信息量的约简算法相比,该算法时间复杂度较低,同时约简后的属性数目更少。     

旅游系统的空间结构：一个具有不对称特点的垄断竞争的空间模型

通过构建一个具有不对称性特点的垄断竞争的空间模型,把规模经济、旅行成本以及多样性偏好和产品差异化等因素纳入到一个统一的分析框架中,并分析了这些因素对旅游空间结构的影响.文章认为,为提升市场份额,区位条件较差、旅游基础设施和接待设施不足、市场知名度低的地区应强调旅游产品的地方特色,优先发展观光产品,并坚持政府主导战略.而接近市场的城市近郊区应重点发展度假产品.     

System deployment optimization in architecture design

Optimization of architecture design has recently drawn research interest. System deployment optimization （SDO） refers to the process of optimizing systems that are being deployed to activi- ties. This paper first formulates a mathematical model to theorize and operationalize the SDO problem and then identifies optimal so- lutions to solve the SDO problem. In the solutions, the success rate of the combat task is maximized, whereas the execution time of the task and the cost of changes in the system structure are mini- mized. The presented optimized algorithm generates an optimal solution without the need to check the entire search space. A novel method is finally proposed based on the combination of heuristic method and genetic algorithm （HGA）, as well as the combination of heuristic method and particle swarm optimization （HPSO）. Experi- ment results show that the HPSO method generates solutions faster than particle swarm optimization （PSO） and genetic algo- rithm （GA） in terms of execution time and performs more efficiently than the heuristic method in terms of determining the best solution.     

Opportunistic spectrum sharing in software defined wireless network

Over the past few decades, the world has witnessed a rapid growth in mobile and wireless networks（MWNs） which significantly change human life. However, proliferating mobile demands lead to several intractable challenges that MWN has to face. Software-defined network is expected as a promising way for future network and has captured growing attention. Network virtualization is an essential feature in software-defined wireless network（SDWN）, and it brings two new entities, physical networks and virtual networks. Accordingly, efficiently assigning spectrum resource to virtual networks is one of the fundamental problems in SDWN. Directly orienting towards the spectrum resource allocation problem, firstly, the fluctuation features of virtual network requirements in SDWN are researched, and the opportunistic spectrum sharing method is introduced to SDWN. Then, the problem is proved as NP-hardness. After that, a dynamic programming and graph theory based spectrum sharing algorithm is proposed.Simulations demonstrate that the opportunistic spectrum sharing method conspicuously improves the system performance up to around 20%–30% in SDWN, and the proposed algorithm achieves more efficient performance.