γ-Y2Si2O7, a Machinable Silicate Ceramic: Mechanical Properties and Machinability

In this paper, the mechanical properties of bulk single-phase γ-Y₂Si₂O₇ ceramic are reported. γ-Y₂Si₂O₇ exhibits low shear modulus, excellent damage tolerance, and thus has a good machinability ready for metal working tools. To understand the underlying mechanism of machinability, drilling test, Hertzian contact test, and density functional theory (DFT) calculation are employed. Hertzian contact test demonstrates that γ-Y₂Si₂O₇ is a "quasi-plastic" ceramic and the intrinsically weak interfaces contribute to its machinability. Crystal structure characteristics and DFT calculations of γ-Y₂Si₂O₇ suggest that some weakly bonded planes, which involve Y–O bonds that can be easily broken, are the sources of the low shear deformation resistance and good machinability.     

化工槽车自动化洗涤装置失效原因分析及对策

对化工槽车自动化洗涤装置失效及其原因进行了分析,指出洗槽机的冲洗和抽水不匹配、洗涤工艺不满足设计要求、硬件出现故障及化学品性质的影响是导致洗涤失效的主要原因,提出了完善现场流程、优化工艺操作、使用自动化控制技术、加强设备维护和保养等解决失效的措施。     

微通道中两相流压降与传质的研究

以氮气和水为实验体系,采用均质混合模型,研究微混合器的微通道中两相流通过微通道的压降,并测定了两相流的传质系数.结果表明,微通道当量直径为95.2 μm,气体速率为1.089～4.355 m/s,液体速率为0.006 41～0.170 90 m/s的条件下,均质混合模型计算压降值与实测值吻合良好.气速为1.633～3.484 m/s,液速为0.025 6 m/s时,随着气速增加,传质系数呈递增的趋势.气速为1.633～3.484 m/s,液速为0.019 2 m/s时,随着气速增加,传质系数先增加后降低然后再增加.传质系数对液速变化更为敏感.     

基于硬件Kalman滤波器的航拍云台姿态获取

航拍云台姿态获取是航空摄影中相机姿态校正的基本依据,介绍了一种基于硬件Kalman滤波器的航拍云台姿态获取的实现方法。设计中采用MPU6050作为系统的姿态传感器,它提供三轴角速度和三轴加速度数据。根据系统特征建立Kalman滤波方程对这些数据进行数据融合处理,Kalman滤波过程中的加减乘除浮点数运算由FPGA实现,外部数据的采集和时序的控制也由FPGA完成。经过对实际数据的处理实验,得出该硬件模块可以获得较为准确的航拍云台姿态,输出结果误差在-1.5°~1.5°范围内。     

基于能量优化的LEACH路由协议改进

针对LEACH路由算法中簇头选举随机性和簇头与基站直接通信导致能量消耗过快且不平衡的特点,提出新的改进算法,以达到降低能耗目的。在改进算法中,簇头剩余能量高于网络平均能量。根据簇头节点与基站的相对位置划分不同区域,簇头节点发送数据采用多跳方式,避免簇头节点能量消耗过快,达到平衡网络能量消耗的目的。仿真表明,通过改进簇头选举条件和采用多跳路由的方式,即使在数据通信量增加的情况下,依然能够延长网络通信时间。     

异龙脑愈创木酚合成檀香的制备

以酸性白土为催化剂 ,进行异龙脑与愈创木酚的选择性烷基化反应 ,烷基化反应产物异龙脑基愈创木酚在雷尼镍存在下催化加氢 ,得到合成檀香异莰基环己醇混合物。该工艺所得合成檀香中主要成分含量较高 ,香气纯正 ,粘度较大 ,留香时间长 ,有一定的实用价值。     

Discourse cues to deception in the case of multiple receivers

Behavioral cues to deception are instrumental in detecting deception. As one of the primary sources of deception behavior, text has been analyzed at the level of sub-sentence or message but not the discourse of interaction. Additionally, empirical studies on cues to deception in the case of multiple receivers remain nonexistent. To fill these voids, we propose a discourse framework and six hypotheses about deception behaviors in a multi-receiver environment. The deception behaviors are operationalized by discourse features based on an analysis of real-world data. The results of statistical analysis validate the efficacy of discourse features in discriminating deceivers from truth-tellers.     

汽车用塑料注塑新技术的进展

综述了汽车用塑料的注射成型技术的进展，简单介绍了气体辅助注射成型(GAIM)、水辅助注射成型、熔芯注射成型、反应注射／增强反应注射(RIM／RRIM)成型等技术的特点、生产的汽车部件及最新动向。     

脂质体及其应用

综述了脂质体在医药制剂、化妆品中的应用状况和前景及其典型的制备方法。     

Multi-tier service differentiation by coordinated learning-based resource provisioning and admission control

Multiple Internet applications are often hosted in one datacenter, sharing underlying virtualized server resources. It is important to provide differentiated treatment to co-hosted applications and to improve overall system performance by efficient use of shared resources. Challenges arise due to multi-tier service architecture, virtualized server infrastructure, and highly dynamic and bursty workloads. We propose a coordinated admission control and adaptive resource provisioning approach for multi-tier service differentiation and performance improvement in a shared virtualized platform. We develop new model-independent reinforcement learning based techniques for virtual machine (VM) auto-configuration and session based admission control. Adaptive VM auto-configuration provides proportional service differentiation between co-located applications and improves application response time simultaneously. Admission control improves session throughput of the applications and minimizes resource wastage due to aborted sessions. A shared reward actualizes coordination between the two learning modules. For system agility and scalability, we integrate the reinforcement learning approach with cascade neural networks. We have implemented the integrated approach in a virtualized blade server system hosting RUBiS benchmark applications. Experimental results demonstrate that the new approach meets differentiation targets accurately and achieves performance improvement of applications at the same time. It reacts to dynamic and bursty workloads in an agile and scalable manner.