世界航天发射运输的发展趋势

 针对世界航天发射运输系统，梳理了国内外发展现状和发展特点，综合对比了国内外航天发射场、运载火箭、火箭发动机的发展现状，并提出了未来发展趋势和展望。提出了低成本进入空间将改变世界航天发展的基本格局，航天远程跨域运输将突破航空领域运输效率的极限，指出了天地往返运输将成为维系空间环境的必然选择，轨道的多样性将催生多样态全域发射能力，同时传统液氧/煤油、液氢/液氧、液氧/甲烷等推进体制的主力运用领域将会迎来重大变革。     

山西省重点实验室评估政策研究

省重点实验室是地方科技创新平台的重要组成部分,发挥着为地方集聚人才、提升基础研究和应用基础研究能力的重要作用,重点实验室评估政策的制定和实施应以推动实验室提质增效、发挥科技创新平台效用为基础.在阐述实验室体系、评估意义及重点实验室定位、作用的基础上,结合国内外考核评估相关政策、山西省现有实验室建设情况,提出了山西省重点实验室评估政策的建议.     

综合控制系统的动态输出反馈控制器设计

为进一步对控制系统进行系统分析与设计,对离散时滞奇异摄动不确定控制系统设计动态输出反馈控制器,使闭环系统渐近稳定.针对时滞依赖和时滞独立两种情形进行讨论,构造一种新的二次求和型李雅普诺夫泛函.利用交叉项界定方法对泛函差分过程进行放大,并综合运用引理消除系统的不确定性,推出动态输出反馈控制器在时滞条件下存在的充分性判据,扩大控制器的摄动控制范围.对所得结论进行推广,通过算例验证该方法的有效性和可行性,并通过对比相应文献,说明所得控制器具有一定的优越性,可使闭环系统渐近稳定.不仅符合设计要求,而且能达到二次调节控制效果.     

基于CWD和残差收缩网络的调制方式识别方法

针对低信噪比时莱斯信道下特征提取准确性难以保证、识别准确率偏低等问题, 提出一种基于Choi-Williams分布(Choi-Williams distribution, CWD)和深度残差收缩网络(deep residual shrinkage network, DRSN)的通信辐射源信号调制方式识别方法。利用CWD将时域复信号转换为二维时频矩阵, 对深度残差网络添加软阈值化得到DRSN, 将时频矩阵样本用于对DRSN的训练, 最终构建不同信噪比下的调制方式识别网络。仿真实验表明, 基于RadioML2016.10a数据集, 利用部分先验信息的情况下, 该分类识别方法具有较高的识别准确率和噪声鲁棒性。在0 dB时, 对11类信号的总体识别准确率达到了89.95%;在2 dB以上时, 总体识别准确率均超过91%, 优于其他深度学习识别方法。     

De Casteljau Algorithm and Degree Elevation of Toric Surface Patches

De Casteljau algorithm and degree elevation of Bézier and NURBS curves/surfaces are two important techniques in computer aided geometric design. This paper presents the de Casteljau algorithm and degree elevation of toric surface patches, which include tensor product and triangular rational Bézier surfaces as special cases. Some representative examples of toric surface patches with common shapes are illustrated to verify these two algorithms. Moreover, the authors also apply the degree elevation of toric surface patches to isogeometric analysis. And two more examples show the effectiveness of proposed method.     

互助担保:连带责任、互助保证金与成员努力程度

构建了针对现行互助担保模式的简单模型，分析了在互助担保中连带责任以及互助保证金对成员企业努力程度的影响.为了进一步激励成员企业的努力程度，提出增加监督惩罚机制和次序担保贷款机制，并通过建立动态激励模型验证了这些机制的有效性.研究结果如下:在现行的互助担保机制下，连带责任越大成员企业努力程度越低，且保证金越多成员企业努力程度越低，而引入监督惩罚机制以及次序贷款机制能够一定程度避免成员企业低努力程度行为的发生.     

Cost and Service-Level-Based Model for a Seru Production System Formation Problem with Uncertain Demand

With increasing demand diversification and short product lifecycles, industries now encounter challenges of demand uncertainty. The Japanese seru production system has received increased attention owing to its high efficiency and flexibility. In this paper, the problem of seru production system formation under uncertain demand is researched. A multi-objective optimization model for a seru production system formation problem is developed to minimize the cost and maximize the service level of the system. The purpose of this paper is to formulate a robust production system that can respond efficiently to the stochastic demand. Sample average approximation (SAA) is used to approximate the expected objective of the stochastic programming. The non-dominated sorting genetic algorithm II (NSGA-II) is improved to solve the multi-objective optimization model. Numerical experiments are conducted to test the tradeoff between cost and service level, and how the performance of the seru production system varies with the number of product types, mean and deviation of product volume, and skill-level-based cost.     

Real-Time Pricing of Smart Grid Based on Piece-Wise Linear Functions

In a power grid system, utility is a measure of the satisfaction of users' electricity consumption; cost is a monetary value of electricity generated by the supplier. The utility and cost functions represent the satisfaction of different users and the supplier. Quadratic utility, logarithmic utility,and quadratic cost functions are widely used in social welfare maximization models of real-time pricing. These functions are not universal; they have to be discussed in detail for individual models. To overcome this problem, a piece-wise linear utility function and a piece-wise linear cost function with general properties are proposed in this paper. By smoothing the piece-wise linear utility and cost functions, a social welfare maximization model can be transformed into a differentiable convex optimization problem. A dual optimization method is used to solve the smoothed model. Through mathematical deduction and numerical simulations, the rationality of the model and the validity of the algorithm are verified as long as the elastic and cost coefficients take appropriate values. Thus, different user types and the supplier can be determined by selecting different elastic and cost coefficients.     

基于空地协同采样的植被覆盖度随机森林估算方法

基于无人机高光谱影像, 建立地形复杂地区植被覆盖度的非参数随机森林回归估算模型。为获得构建随机森林模型所需的足够数量的训练样本, 利用低空无人机搭载的光学相机, 在从地面难以到达的山地、水域和植被茂密区, 通过垂直拍摄获得厘米分辨率的航拍影像, 作为对地面样方采样的补充。首先计算地面数码相机照片和无人机可见光影像的红绿蓝植被指数(red-green-blue vegetation index, RGBVI), 然后使用大津分割法提取样方的植被覆盖信息, 得到构建模型所需的训练样本。在此基础上, 基于2018年8月16—18日在内蒙古自治区察右中旗油娄沟矿区获取的GaiaSky-mini2无人机高光谱影像数据, 利用递归特征消除算法优选参与随机森林回归的特征变量集, 利用空地协同获取的训练样本构建植被覆盖度的随机森林回归估算模型。该模型在测试集上的确定系数R2为0.923, 均方根误差为0.087, 优于常用的像元二分模型, 可用于矿区植被动态信息的精细化监测。     

超强筋小麦粉面包烘焙技术研究

为了烘焙出能充分表现超强筋小麦济麦229面粉品质特性的优良面包,设置了4种醒发时间处理、5种酵母和糖用量处理、4种配粉处理,对超强筋小麦面粉的面包品质进行了评价分析。结果表明,在4个醒发时间处理中,当面团醒发时间为30min和面包胚醒发时间为50min时,烘焙的面包品质最好。在5种酵母和糖用量的处理中,利用吐司面包程序时,干酵母和糖的用量分别为6g和24g时烘焙的面包品质最好；利用法式面包程序时,干酵母和糖的用量分别为3g和18g时烘焙的面包品质最好。在4个配粉处理中,200g超强筋小麦济麦229面粉中添加100g普通小麦济麦22面粉的混粉烘焙得到的面包品质最好。因此,适当调整超强筋小麦粉面包的面团、面包胚醒发时间及物料配比,可以烘焙出品质优良的面包。