中小房地产企业多种融资产品的选择决策问题

在民间游资为房地产企业提供越来越多融资产品的背景下,针对中小房地产企业选择多种融资渠道下多种融资产品的选择决策问题,根据成本-服务匹配原则,设计了以综合财务成本最低、社会满意度相对较高为决策目标的中小房地产企业多种融资渠道、多种融资产品的选择决策问题模型,并改进得到了适合该选择决策问题模型的启发式算法.算例仿真结果表明,所设计的模型和算法可以有效地解决中小房地产企业所面临的多渠道、多产品的融资选择决策问题.     

基于熵编码CABAC的信源信道联合解码器

H.264的熵编码都采用基于上下文自适应二进制算术编码（CABAC）,能达到较高的压缩性能,但对信道误码非常敏感.文中提出了一种基于CABAC的算数码变长码联合解码算法,联合信源信道算数码解码之后的信息作为变长码的输入信息,再通过变长码格状图搜索获得最佳的符号序列.同时,在算数码解码部分可以利用变长码的码字结构信息来删除无效搜索路径,提高解码性能.仿真实验表明,该联合迭代解码算法明显优于传统的分离解码器.     

低气压对棒-板间隙工频放电特性影响研究

为研究低气压对棒-板间隙工频放电特性影响,利用低气压放电试验平台对1~20 kPa气压范围内200~500 mm棒-板间隙工频放电进行了试验研究,分析了工频50%击穿电压U_(50%)与气压P及间隙距离d的关系;以及气压对放电通道外形的影响。研究结果表明:在1~20 kPa气压范围内不同间隙距离下U_(50%)-P曲线均有饱和趋势,开始出现饱和趋势的拐点随间隙距离增大向低气压方向移动且拐点处击穿电压U_(50%)和间隙距离与气压乘积Pd之间存在函数关系。随气压升高放电通道由低亮度"间断状"逐渐收细、变亮为高亮度"连续状",曲折现象逐渐显著。研究成果为进一步开展低气压下长间隙放电研究提供参考。     

一种基于确定性调度的工业物联网感知层信道评估方法

为了提高工业物联网感知层无线数据传输的可靠性,主流的工业物联网标准普遍采用跳信道技术。通过周期性地评估和屏蔽受到干扰的信道,网络能够感知信道状态并自适应工作在传输质量较好的信道上。为了能更好地满足工业网络确定性与低功耗的特点,根据工业物联网感知层中信道使用率的不同,提出一种基于确定性调度机制的感知层信道评估方法,其核心思想是根据网络的数据流和跳信道模式统计信道使用率,计算每个信道的评估时间,再对信道进行周期性评估。仿真结果表明,该方法充分地利用了网络信道资源,并有效地提高了通信过程中的抗干扰性、可靠性和吞吐量。     

Continental subduction channel processes: Plate interface interaction during continental collision

The study of subduction-zone processes is a key to development of the plate tectonic theory. Plate interface interaction is a basic mechanism for the mass and energy exchange between Earth＇s surface and interior. By developing the subduction channel model into continental collision orogens, insights are provided into tectonic processes during continental subduction and its products. The continental crust, composed of felsic to mafic rocks, is detached at different depths from subducting continental lithosphere and then migrates into continental subduction channel. Part of the subcontinental lithospheric mantle wedge, composed of perido- tile, is offscrapped from its bottom. The crustal and mantle fragments of different sizes are transported downwards and upwards inside subduction channels by the corner flow, resulting in varying extents of metamorphism, with heterogeneous deformation and local anatexis. All these metamorphic rocks can be viewed as tectonic melanges due to mechanical mixing of crust- and man- lie-derived rocks in the subduction channels, resulting in different types of metamorphic rocks now exposed in the same orogens. The crust-mantle interaction in the continental subduction channel is realized by reaction of the overlying ancient subcontinental lithospheric mantle wedge peridotite with aqueous fluid and hydrous melt derived from partial melting of subducted continental basement granite and cover sediment. The nature of premetamorphic protoliths dictates the type of collisional orogens, the size of ultrahigh-pressure metamorphic terranes and the duration of ultrahigh-pressure metamorphism.     

基于IRS辅助多用户通信系统的信道容量优化

智能反射表面(intelligent reflecting surface,IRS)通过对无线传播环境的智能配置进而获得极好的信道容量增益。在IRS辅助多用户下行链路通信中,本文通过共同优化基站处受功率限制的预编码器和IRS处受单位模量约束的相移器来最大化信道容量。针对由此产生的非确定性多项式难问题,首先将其转换成等效问题,再利用交替优化算法来求解预编码矩阵和相移向量。当固定相移向量时,优化问题可转换为二阶锥规划问题后直接使用标准优化包获得最优预编码矩阵。当固定预编码矩阵时,单位模量约束是解决问题的难点,本文将其嵌入搜索空间之后提出黎曼信赖域(Riemannian trust-region, RTR)算法来求解。仿真结果表明,与现有方法相比,RTR算法不仅具有性能的提升,还有更快的收敛速度。     

基于亮区域暗通道矫正和加权聚合引导滤波

针对暗通道先验在天空等亮区域失效和引导滤波容易导致边缘模糊的不足,提出了一种高效的去雾算法.该算法提出一种新颖的亮区域自适应分割与校正方法,基于自适应的相对景深阈值分割亮区域,采用饱和度和灰度值校正亮区域的暗通道.然后利用加权聚合引导滤波代替引导滤波细化初始透射率,解决引导滤波引起的边缘模糊问题.最后,提出一种有效的亮度校正方法,将复原图像转化到HSV色彩空间,对亮度进行均衡化处理,使用相对雾浓度均值作为权值,对均衡化前后的结果进行线性加权得到最终的复原结果.实验结果表明,与经典算法对比,所提算法亮区域分割准确,复原图像纹理清晰,去雾彻底,复原结果的峰值信噪比、平均梯度与信息熵的最大提升分别为34.46%、99.49%和21.18%.     

基于信息保真度的最优信息传输

为度量信息被信道噪声干扰后的可恢复程度, 提出基于互信息的信息保真度概念, 并揭示保真度与互信息以及信息恢复方法误差概率之间的内在联系。 理论分析表明, 信道最大信息保真度能反映最优传输消息分布, 在此基础上把最优传输消息分布的求取转化为信息保真度极值问题, 并研究基于最大化信息保真度的最优信息传输。 以二元无记忆信道为例, 对其进行理论和数值分析, 并验证了最大保真度与信道容量以及最优传输消息分布之间的关系。 结果表明, 对较为复杂的信道模型, 基于信息保真度的最优化计算比信道容量的计算更为简洁。     

基于压缩感知的自适应加权匹配追踪算法

压缩感知（compressed sensing,CS）技术通过减少发射导频数来提高频谱的利用率。将CS技术应用于导频辅助的稀疏度未知的正交频分复用（orthogonal frequency division multiplexing,OFDM）信道估计中,提出一种自适应加权匹配追踪（CS-based adaptive weighting &matching pursuit,AWMP）算法。该算法使用自适应加权、匹配追踪的方法估计信道时域脉冲响应,按照估计信噪比和匹配原则,利用多次迭代进行自适应加权和寻找最佳稀疏度,实现未知信道稀疏度与信噪比的情况下,准确估计信道信息。仿真验证表明,与传统的信道估计算法相比,采用基于AWMP的信道估计方法,能够利用较少的导频信息获得更低的误码率和均方误差。     

Refinement of primary Si grains in Al–20%Si alloy slurry through serpentine channel pouring process

In this study, a serpentine channel pouring process was used to prepare the semi-solid Al–20%Si alloy slurry and refine primary Si grains in the alloy. The effects of the pouring temperature, number of curves in the serpentine channel, and material of the serpentine channel on the size of primary Si grains in the semi-solid Al–20%Si alloy slurry were investigated. The results showed that the pouring temperature, number of the curves, and material of the channel strongly affected the size and distribution of the primary Si grains. The pouring temperature exerted the strongest effect, followed by the number of the curves and then the material of the channel. Under experimental conditions of a four-curve copper channel and a pouring temperature of 701℃, primary Si grains in the semi-solid Al–20%Si alloy slurry were refined to the greatest extent, and the lath-like grains were changed into granular grains. Moreover, the equivalent grain diameter and the average shape coefficient of primary Si grains in the satisfactory semi-solid Al–20%Si alloy slurry were 24.4 μm and 0.89, respectively. Finally, the refinement mechanism and distribution rule of primary Si grains in the slurry prepared through the serpentine channel pouring process were analyzed and discussed.