基于遗传算法的平流层飞艇路径规划设计

利用传统线性化方法--小扰动法将模型线性化,结合平流层飞艇的工作特性,把飞艇上升运动看成是纵向基准运动和横侧向扰动运动.然后采用最小值原理,根据飞艇的控制量和边界条件,设计和优化飞艇的上升轨迹,其性能目标函数是从初始点到目标点运动过程中能量消耗最小.利用遗传算法,在运动模型和控制量变化的共同约束作用下,求取目标函数的最小值.最后根据飞艇实际工作过程,对仿真结果分析表明,该方法具有实际应用价值.     

神经网络在线自学习跟踪控制及其在伺服系统中的应用

针对传统自适应和自校正控制中存在的问题，提出一种基于神经网络的在线自学习控制方法，既做到了对象模型的在线辨识和控制器的在线设计，又避免了神经网络控制方法通常存在的实时控制的困难，使复杂系统的在线学习控制成为可能。仿真表明该方法具有良好的鲁棒性和控制精度。     

Molecular aggregation of PEEK with PES blends and the block copolymers composed of PEEK and PES components

Polymer blends of PEEK with PES were prepared by the solution blending method. Copolymers composed of PEEK and PES components were synthesized from these oligomers. The formation conditions exerted an influence over the molecular aggregation and the crystallization behaviors of the blend films and block copolymers which were examined by X-ray diffractometry and DSC analysis. As a result, phase-separation in the blend films was found when the formation temperature was high. The blend films formed at 340°C, quenched and annealed at 180°C, exhibited the same crystallization behavior as those of PEEK. In the case of the blend films formed at 300°C, the annealing of the films at 250°C was required to crystallize the blend films. The T_g of a copolymer with a PEEK component content of more than 50% tends to shift toward a higher temperature than the T_g of PEEK itself, and the T_m of the copolymer toward a lower temperature than that of PEEK ist.     

Evaluation of four steering wheels to determine driver hand placement in a static environment

While much research exists on occupant packaging both proprietary and in the literature, more detailed research regarding user preferences for subjective ratings of steering wheel designs is sparse in published literature. This study aimed to explore the driver interactions with production steering wheels in four vehicles by using anthropometric data, driver hand placement, and driver grip design preferences for Generation-Y and Baby Boomers. In this study, participants selected their preferred grip diameter, responded to a series of questions about the steering wheel grip as they sat in four vehicles, and rank ordered their preferred grip design. Thirty-two male participants (16 Baby Boomers between ages 47 and 65 and 16 Generation-Y between ages 18 and 29) participated in the study. Drivers demonstrated different gripping behavior between vehicles and between groups. Recommendations for future work in steering wheel grip design and naturalistic driver hand positioning are discussed.     

燕化660 kt/a乙烯冷区设备布置

主要介绍了大型乙烯改扩建的冷区设备布置的主要特点，分析了设备布置的思路，及与土建等各专业的关系，强调了设备布置方案利旧的方法。     

瀑-深梯级AGC厂间负荷实时分配策略研究及应用

为了实现瀑布沟、深溪沟电站的实时联合运行控制,基于分层调管的原理,以深溪沟电站水位控制为目标,提出了一套能够实现瀑布沟和深溪沟两站水量与电量平衡的厂间负荷实时分配策略及求解流程。针对厂间负荷分配时,不同机组组合下的虚拟单台机组的发电特性曲线和振动区,分别采用动态规划技术和集合区间运算法给予求解,同时还给出了一种简单实用的厂间联合躲避振动区的策略。在此基础上,开发的集控侧梯级AGC系统,已成功地应用到了大渡河瀑布沟和深溪沟梯级实时联合运行控制中,且计算结果满足实际运行工况的要求。     

磷矿中氧化钙,氧化镁测定方法的研究

用硝酸铋分离磷酸根离子，在滤液中用ＥＧＴＡ－ＥＤＴＡ分别测定氧化钙，氧化镁较之传统方法简便效果好。     

中国古典爱情诗词社会心理学意义探微

中国古典诗词中的爱情诗词是一朵历经数千年,经久不衰,传诵永远的奇葩.用现代人的眼光,探讨古人爱情诗词蕴含的社会心理意义,体味当时的情景和诗人的情感,别有一番滋味在心头,对于和谐社会的构建,具有十分重要的现实意义.     

改进SPIHT图像压缩算法在弹性成像中的应用

为提高医学超声弹性成像中图像传输的效率,采用了改进的SPIHT算法对图像进行压缩并传输.改进的SPIHT算法对弹性仿体受压前后的图像进行分解,然后对其进行去直流操作、编码和传输,传输后进行逆操作恢复图像并用于弹性成像.实验结果表明改进的SPIHT很大程度上减少了弹性图像的冗余信息,提高了图像的传输速度并在一定程度上提高...     

A Semi-Supervised WLAN Indoor Localization Method Based on 1-Graph Algorithm

For indoor location estimation based on received signal strength (RSS) in wireless local area networks (WLAN), in order to reduce the influence of noise on the positioning accuracy, a large number of RSS should be collected in offline phase. Therefore, collecting training data with positioning information is time consuming which becomes the bottleneck of WLAN indoor localization. In this paper, the traditional semi-supervised learning method based on k-NN and ε-NN graph for reducing collection workload of offline phase are analyzed, and the result shows that the k-NN or ε-NN graph are sensitive to data noise, which limit the performance of semi-supervised learning WLAN indoor localization system. Aiming at the above problem, it proposes a 1-graph-algorithm-based semi-supervised learning (LG-SSL) indoor localization method in which the graph is built by 1-norm algorithm. In our system, it firstly labels the unlabeled data using LG-SSL and labeled data to build the Radio Map in offline training phase, and then uses LG-SSL to estimate user’s location in online phase. Extensive experimental results show that, benefit from the robustness to noise and sparsity of 1-graph, LG-SSL exhibits superior performance by effectively reducing the collection workload in offline phase and improving localization accuracy in online phase.