纯La及混合稀土镁基储氢合金的性能研究

用共沉淀还原扩散法制备了不同化学计量比的LaMg2Ni9-xCox（x=0．3-6．0）和M／Mg2Ni9-xCox（x=0．3-4．5）稀土镁基储氢电极合金。电化学测试结果表明：制得的合金活化性能良好；在Co含量x逐渐增大的过程中，合金的活化次数没有发生明显的变化，合金的放电容量逐渐减小，合金的循环稳定性逐渐增强。混合稀土合金比纯镧合金的活化次数多、放电量小，但是循环稳定性好。合金结构分析表明，合金主相为MgNi2相和LaNi5相，随着Co含量增加，LaCo5相和LaCo3相含量增加。     

污损释放型涂料的防污与减阻性能研究

制备了一种以有机硅树脂为基体树脂的污损释放型涂料,并对其防污性能与减阻性能进行了研究。结果发现,硅油能够渗出到涂层的表面,引起表面形貌和表面能的强烈变化。随着硅油渗出量的增加,涂层表现出的"结构表面能"越大,并有利于防污性能的增强。污损释放型涂层的表面粗糙度远小于通用自抛光型涂层的表面粗糙度,并且在不同雷诺数下均表现出了良好的减阻效果。所研制的污损释放型涂料同时具有良好的防污性能与减阻性能,能够为我国商品化环境友好型防污减阻涂料的研发提供借鉴。     

冻结哈尔滨粉质黏土超声波速测定试验研究

采用超声波技术测定冻土动弹性力学指标正是目前冻土学术界及工程领域致力研究的一个热点。本文将基于日产UVM -2型声速仪对冻结哈尔滨粉质黏土超声波速测定结果 ,主要考察负温和含水率对超声波在冻土中传播速度及冻土动弹性力学指标的影响     

不同灌溉模式下太湖流域稻田土对氨氮的吸附特性

为了考察灌溉模式对稻田土吸附氨氮的影响,本文采集太湖流域不同灌溉模式下的稻田土,在室内开展氨氮的等温吸附试验。结果表明:氨氮在两种稻田土上的吸附动力学过程均可分为明显的快、慢两个阶段,且均以准二级吸附动力学方程的拟合结果最佳;控制灌溉模式下稻田土氨氮的理论平衡吸附量、试验平衡吸附量分别为454.5mg/kg和446.2mg/kg,均高于漫水灌溉模式。Freundlich方程对等温吸附数据的拟合结果最好。控制灌溉模式下稻田土的不均匀性、吸附氨氮的反应强度以及对氨氮的吸附容量均升高。     

多共振分量融合CNN的行星齿轮箱故障诊断

针对行星齿轮箱中各部件所激起的振动成分混叠、早期故障特征经常被较强的各级齿轮谐波成分以及环境噪声所湮没的问题,提出一种多共振分量融合卷积神经网络（multi-resonance component fusion based convolutional neural network,简称MRCF-CNN）的行星齿轮箱故障诊断方法。首先,对振动信号进行共振稀疏分解,得到包含齿轮谐波成分的高共振分量和可能包含轴承故障冲击成分的低共振分量;其次,构建多共振分量融合卷积神经网络,将得到的高、低共振分量和原始振动信号进行自适应的特征级融合,通过有监督的方式训练模型并进行行星齿轮箱故障诊断。对行星齿轮箱实验数据的分析结果表明,该方法能够有效分类行星齿轮箱中滚动轴承和齿轮的故障,成功对行星齿轮箱故障进行诊断,同时能够进一步增强卷积神经网络对振动信号所蕴含的故障信息的辨识能力。     

Time-critical on-demand data broadcast: algorithms, analysis, and performance evaluation

On-demand broadcast is an effective wireless data dissemination technique to enhance system scalability and deal with dynamic user access patterns. With the rapid growth of time-critical information services in emerging applications, there is an increasing need for the system to support timely data dissemination. This paper investigates online scheduling algorithms for time-critical on-demand data broadcast. We propose a novel scheduling algorithm called SIN-/spl alpha/ that takes the urgency and number of outstanding requests into consideration. An efficient implementation of SIN-/spl alpha/ is presented. We also analyze the theoretical bound of request drop rate when the request arrival rate rises toward infinity. Trace-driven experiments show that SIN-/spl alpha/ significantly outperforms existing algorithms over a wide range of workloads and approaches the analytical bound at high request rates.     

An error-resilient and tunable distributed indexing scheme for wireless data broadcast

Access efficiency and energy conservation are two critical performance concerns in a wireless data broadcast system. We propose in this paper a novel parameterized index called the exponential index that has a linear yet distributed structure for wireless data broadcast. Based on two tuning knobs, index base and chunk size, the exponential index can be tuned to optimize the access latency with the tuning time bounded by a given limit, and vice versa. The client access algorithm for the exponential index under unreliable broadcast is described. A performance analysis of the exponential index is provided. Extensive ns-2-based simulation experiments are conducted to evaluate the performance under various link error probabilities. Simulation results show that the exponential index substantially outperforms the state-of-the-art indexes. In particular, it is more resilient to link errors and achieves more performance advantages from index caching. The results also demonstrate its great flexibility in trading access latency with tuning time.     

Top-k Monitoring in Wireless Sensor Networks

Top-k monitoring is important to many wireless sensor applications. This paper exploits the semantics of top-k query and proposes an energy-efficient monitoring approach called FILA. The basic idea is to install a filter at each sensor node to suppress unnecessary sensor updates. Filter setting and query reevaluation upon updates are two fundamental issues to the correctness and efficiency of the FILA approach. We develop a query reevaluation algorithm that is capable of handling concurrent sensor updates. In particular, we present optimization techniques to reduce the probing cost. We design a skewed filter setting scheme, which aims to balance energy consumption and prolong network lifetime. Moreover, two filter update strategies, namely, eager and lazy, are proposed to favor different application scenarios. We also extend the algorithms to several variants of top-k query, that is, order-insensitive, approximate, and value monitoring. The performance of the proposed FILA approach is extensively evaluated using real data traces. The results show that FILA substantially outperforms the existing TAG-based approach and range caching approach in terms of both network lifetime and energy consumption under various network configurations.     

导电聚合物/无机纳米复合材料的研究进展

主要介绍了导电聚合物/无机纳米复合材料的制备方法,详细评述了各种制备方法的优缺点,总结了导电聚合物/无机纳米粒子复合材料性能的改善与应用领域,并展望了导电聚合物/无机纳米粒子复合材料的研究方向和应用前景.     

基于单片机的火控系统FEC设计

介绍了一种以MCU为主要核心的火控系统的软硬件设计,着重讨论了满足该系统要求的FEC(前向纠错)设计方案,最终选择了RS码 CRC(循环冗余校验)的信道编码,并分析了误码性能,证明其能满足系统要求。采用ATmega128单片机实现了文中提出的设计方案,在原始误比特率为10-3的信道上,实现了误比特率低于10-10的可靠通信。