一类非齐次退化抛物方程的零可控性

介绍了解的适定性、Carleman估计、可观测性不等式和最优控制概念,通过推导证明存在一个控制函数,使原方程的解在t=T时为零,说明此方程具有零可控性.     

Combination of dynamic features with a new mask to optimize neural network speech enhancement

Concerning the problem that the Neural Network speech enhancement algorithm cannot fully represent the nonlinear structure of speech due to feature selection,which leads to speech distortion.This paper proposes the combination of dynamic features with a new mask to optimize neural network speech enhancement.First,three features of noisy speech are extracted and spliced to obtain static features.Then,the first and second difference derivatives are obtained to capture the instantaneous signals of speech and fuse them into dynamic features.The combination of dynamic and static features completes internal complementarity of features and reduced speech distortion.Second,in order to enhance the intelligibility and clarity of speech at the same time,an adaptive mask is proposed,which can adjust the energy ratio of speech and noise as well as the ratio of the traditional mask and the square root mask.The Gammatone channel weight is used to modify the mask value in each channel to simulate the human auditory system and further improve the speech intelligibility.Finally,the simulation of multiple voices under different noise backgrounds shows that compared with different literature algorithms,the algorithm has a higher SNR,subjective speech quality and short-term objective intelligibility,which verifies the effectiveness of the algorithm.     

光伏玻璃抗钢球冲击和光伏组件抗冰雹冲击对应关系研究

抗冲击强度是光伏玻璃和光伏组件的一个重要机械强度指标.目前玻璃的抗冲击性能使用钢球检测,组件的抗冲击性能使用冰球检测.本文从两种检测手段的理论能量计算对比、组件使用钢球和冰球进行抗冲击试验结果对比、以及玻璃或冰球破碎时的形态对比三方面来研究玻璃和组件抗冲击检测手段的对应关系.结果表明:两种检测手段无对等关系,且玻璃抗冲击标准要严于组件抗冲击标准.     

高校实验室低值耐用品管理探析

为了加强高校实验室低值耐用品精细化管理,从低值耐用品管理现状及存在的问题以及解决策略方面进行了阐述.介绍了采用二维码生成及识别技术对低值耐用品进行信息化管理,使实验技术人员通过扫描物品上的二维码就能即时查看物品信息及存放地点,为实验室精细化管理提供了便捷.     

面向不平衡数据流的自适应加权在线超限学习机算法

一般的在线学习算法对不平衡数据流的分类识别会遇到较大困难,特别是当数据流发生概念漂移时,对其进行分类会变得更困难.文中提出面向不平衡数据流的自适应加权在线超限学习机算法,自动调整实时到达的训练样本的惩罚参数,达到在线学习不平衡数据流的目的.文中算法可以适用于不同偏斜程度的静态数据流的在线学习和发生概念漂移时数据流的在线学习.理论分析和在多个真实数据流上的实验表明文中算法的正确性和有效性.     

两种不同培养工艺制备森林脑炎灭活疫苗的免疫原性及安全性评价

目的评价细胞工厂工艺制备森林脑炎灭活疫苗的免疫原性及安全性。方法利用10 L转瓶和细胞工厂两种工艺在地鼠肾细胞上培养森林脑炎病毒(tick-borne encephalitis virus,TBEV),收获病毒液,经病毒灭活、超滤浓缩、柱层析纯化、除菌过滤后,制备森林脑炎灭活疫苗。采用透射电子显微镜及SDS-PAGE对病毒进行形态观察及鉴定。将两种工艺共制备的6批疫苗免疫小白鼠,评价疫苗的免疫原性;通过家兔刺激试验及豚鼠主动过敏性试验评价疫苗的安全性。结果两种工艺共制备的6批疫苗原液,透射电镜下观察均可见约为50 nm的圆形病毒颗粒,SDS-PAGE分析均可见相对分子质量分别为50 000和40 000~45 000的蛋白条带,病毒形态及蛋白条带大小均与TBEV相符;免疫保护指数均大于1. 0×10~5,符合《中国药典》三部(2015版)标准;家兔刺激试验对注射部位无刺激性,豚鼠主动过敏试验无小鼠出现过敏性反应。结论细胞工厂工艺和10 L转瓶工艺制备的森林脑炎灭活疫苗均具有良好的免疫原性及安全性。     

一种大型复杂构件加工新模式及新装备探讨

大型复杂构件是航空航天、能源、船舶等领域装备的核心结构件，此类构件通常具有尺寸大、形状复杂、刚性弱等特点。传统“分体离线加工-在线检测”模式存在工艺不稳定、过程复杂、柔性差、周期长等问题，以龙门式多轴数控机床加工为代表的“包容式”加工模式，难以适应大型复杂构件的高效高质量加工制造需求。提出一种基于移动式和吸附式机器人的多机协同原位加工新模式，通过多机器人系统自主寻位、精确定位加工与加工质量原位检测，实现大型复杂构件多安装面并行铣削、制孔与打磨等作业。多机器人系统包括移动式混联机器人、吸附式并联机器人、移动式串联铣削机器人、移动式双臂加工机器人和移动式打磨机器人。构建多机协同原位加工模式，需要揭示多机器人协同原位加工行为与大型弱刚性结构件质量控制的交互机理，面临着本体、测量、工艺和集成四个方面的挑战，需要设计高灵活、高刚度的移动式和吸附式加工机器人，解决移动机器人自主准确寻位和超大结构件原位高精检测难题，攻克加工变形误差在线补偿和振动抑制技术，通过集成实现多机协同高效高精加工，为大型复杂构件的高效高质量制造提供创新技术及装备，并实现此类构件制造核心技术及装备自主可控。     

基于最小包容区域的球度误差评定方法

针对球度误差评定方法存在原理误差或模型误差,提出了一种符合最小包容区域定义的球度误差评定方法,即将几何搜索逼近算法与基于最小包容区域法的球度误差评定的几何结构和定义结合起来的准确评定方法。对仿真数据和其他文献中的数据进行了评定。所提方法与其他方法的评定结果表明,所提方法可以准确地找到最小包容区域球的球心并给出球度误差的精确解。     

A comparative thermodynamic analysis of Kalina and organic Rankine cycles for hot dry rock: a prospect study in the Gonghe Basin

Hot dry rock is a new type of geothermal resource which has a promising application prospect in China. This paper conducted a comparative research on performance evaluation of two eligible bottoming cycles for a hot dry rock power plant in the Gonghe Basin. Based on the given heat production conditions, a Kalina cycle and three organic Rankine cycles were tested respectively with different ammonia-water mixtures of seven ammonia mass fractions and nine eco-friendly working fluids. The results show that the optimal ammonia mass fraction is 82% for the proposed bottoming Kalina cycle in view of maximum net power output. Thermodynamic analysis suggests that wet fluids should be supercritical while dry fluids should be saturated at the inlet of turbine, respectively. The maximum net power output of the organic Rankine cycle with dry fluids expanding from saturated state is higher than that of the other organic Rankine cycle combinations, and is far higher than the maximum net power output in all tested Kalina cycle cases. Under the given heat production conditions of hot dry rock resource in the Gonghe Basin, the saturated organic Rankine cycle with the dry fluid butane as working fluid generates the largest amount of net power.