EDA介质快慢横波时差和振幅-方位曲线的实验分析

在含垂直定向裂隙的各向异性（EDA）介质中，地震快、慢横波传播的时差及振幅随裂隙（缝）方位变化曲线能反映裂缝的密度、走向和介质的性质，这对多波地震资料的处理、解释有着重要意义。但受观测条件限制以及噪声的影响，在横波分裂记录上，同相轴往往会出现扭曲、倾斜和不规则抖动等现象，给快、慢横波时差的求取和振幅-方位曲线的绘制带来误差。设计了EDA介质物理模型，并利用岩石超声波测量系统获得了快、慢横波记录；分析记录可知，在相同传播方向的分裂横波具有走时和传播速度不随裂缝方位变化的恒定性特征；以此为基础，提出了利用平均法和瞬时振幅法来计算快、慢横波的走时时差和绘制振幅-方位曲线，以提高精度。利用物理模型实验得到的2个正交横波（S1波与S2波）的快、慢横波记录，分别用平均法和瞬时振幅法计算了快、慢横波走时的平均值、时差和均方差，并绘制了相应的振幅一方位曲线。结果表明，采用上述2种方法，消除了同相轴扭曲、倾斜和不规则抖动等对计算结果的影响，时差的计算是可靠的，振幅一方位曲线的绘制是合理的。     

一种基于边界特征线且特征点可变的二阶非线性离散跟踪微分器及在测速定位系统中的应用

利用状态反推方法确定最速离散二阶系统的线性区域的边界特征线及控制特征线,以相平面上的点及边界曲线、控制线的相对位置按线性规则确定控制量的大小,区分可达区与线性区,并依此构造最速分段线性函数形式的跟踪微分器（Tracking-differentiator,TD）,这种算法可以方便地修改特征点,适应能力强,而且运算中不包含任何根号运算,使得控制综合函数的形式极大简化,有利于工程实现.对正弦信号及方波信号的仿真结果表明了上述结论的合理性.验证了特征点分段线性算法在适当修改特征点后得到的TD,与经典TD以及它的线性近似进行比较,跟踪能力和微分提取能力都得到了较大的提高.应用移动平均算法构成的跟踪微分器组,具有相位补偿功能,适当选取TD参数后,得到了滤波能力强、相位特性良好的滤波器,并应用于基于长定子齿槽检测的永磁电动磁悬浮列车的测速定位系统中.实验结果表明,本文提出的简化TD按相位补偿确定的方案能有效滤除脉冲和扰动等噪声,对过轨道接缝时的畸变信号进行修复,边界容易修改,算法简单有效,实时性强,易于工程实现.     

强化两相混合的超临界技术制备聚乳酸微粒

针对商品化聚乳酸微球粒径分布较宽难于适用气溶胶给药要求的不足,采用水力空化混合强化超临界流体辅助雾化技术(SAA-HCM)制备聚乳酸(PLA)超细微粒.该技术主要特点是通过在超临界流体和液相进料处引入水力空化混合器,强化两相间的混合.考察SAA-HCM过程混合器压力、温度、沉淀器温度、进料中CO2与液体溶液质量流量比和溶液质量浓度等操作参数对微粒形态和粒径分布的影响,成功制备出球形度较好,粒径分布较窄(1～3μm)的PLA微球.经X射线衍射(XRD)分析和差示扫描量热(DSC)分析显示,与原料PLA相比,微球晶型及热曲线变化不大,但结晶度下降.同时把操作参数与相行为进行关联,探讨了影响颗粒形貌的机理.对比超临界流体辅助雾化法(SAA)的实验结果表明:水力空化的引入能有效强化混合器内的两相传质,混合更好,能制备出适用于气溶胶给药要求的超细微粒.     

TD-SCDMA系统中快速DCA算法的研究

TDSCDMA东统作为TDD—CDMA系统的代表,与FDDCDMA相比,它在物理层采用了智能天线、多用户检测、上行同步以及特殊的帧结构等。在分析TDSCDMA系统帧结构的基础上,提出了一种改进的动态信道分配方案以及考虑空间分布信息的信道分配算法,通过增大交叉时隙的空间膈离度和减少交叉时隙的使用机率来改善基站间的相互干扰,同时使每个时隙的用户空间分布更加均匀,能够有效增加系统容量,改善系统性能。     

改进TD3算法在四旋翼无人机避障中的应用

为了提高无人机（Unmanned Aerial Vehicle,UAV）系统的智能避障性能,提出了一种基于双延迟深度确定性策略梯度（Twin Delayed Deep Deterministic Policy Gradient,TD3）的改进算法（Improved Twin Delayed Deep Deterministic Policy Gradient,I-TD3）。该算法通过设置两个经验缓存池分离成功飞行经验和失败飞行经验,并根据两个经验缓存池的不同使用目的分别结合优先经验回放（Prioritized Experience Replay）方法和经验回放（Experience Replay）方法,提高有效经验的采样效率,缓解因无效经验过高导致的训练效率低问题。改进奖励函数,解决因奖励设置不合理导致的训练效果差问题。在AirSim平台上实现仿真实验,结果表明在四旋翼无人机的避障问题上,I-TD3算法的避障效果优于TD3算法和深度确定性策略梯度（Deep Deterministic Policy Gradient,DDPG）算法。     

基于现场试验的海上风电大直径单桩三维水平承载力研究

p－y 曲线法是计算分析水平受荷桩常采用的方法。但现场多为 3 m 以内直径试桩,对于海上风电大直径单桩( 4～8 m) 结构的桩土相互作用计算分析,其适用性值得商榷。结合江苏某海上风电大直径钢管桩水平静载荷试验,得到桩身挠度曲线和弯矩曲线; 采用 ABAQUS 建立单桩三维数值模型,将数值模拟结果与试验结果进行了对比分析,并对桩土接触法向刚度进行初步的敏感性分析,验证数值模型的有效性和适用性。随后对大直径单桩进行水平静载数值模拟,与规范推荐的 p－y 曲线法计算结果进行对比,结果表明,规范推荐的 p－y 曲线法过于保守,规范推荐的 p－y 曲线法不适于直接应用在大直径钢管桩的水平承载力分析; 所得结论对该区域海上风电大直径钢管桩设计优化具有指导意义。     

并行通讯格雷码多圈旋转编码器和S7-200型PLC在石灰炉提升机上的应用

本文系统分析了各种旋转编码器和S7-200型PLC的特点,解决了用S7-200型PLC将格雷码翻译成二进制码等难题,选用并行通讯格雷码旋转编码器、S7-200型PLC和中文TD200人机界面组成控制系统,成功实现石灰炉提升机自动控制,控制系统必将在小规模精度定位领域中得到广泛应用。     

On Dual-Mode Driving Control Method for a Novel Unmanned Tractor With High Safety and Reliability

Due to the non-standardization and complexity of the farmland environment, it is always a huge challenge for tractors to achieve fully autonomy (work at Self-driving mode) all the time in agricultural industry. Whereas, when tractors work in the Tele-driving (or Remote driving) mode, the operators are prone to fatigue because they need to concentrate for long periods of time. In response to these, a dual-mode control strategy was proposed to integrate the advantages of both approaches, i.e., by combing Self-driving at most of the time with Tele-driving under special (complex and hazardous) conditions through switching control method. First, the state switcher was proposed, which is used for smooth switching the driving modes according to different working states of a tractor. Then, the state switching control law and the corresponding subsystem tracking controllers were designed. Finally, the effectiveness and superiority of the dual-mode control method were evaluated via actual experimental testing of a tractor whose results show that the proposed control method can switch smoothly, stably, and efficiently between the two driving modes automatically. The average control accuracy has been improved by 20% and 15% respectively, compared to the conventional Tele-driving control and Self-driving control with low-precision navigation. In conclusion, the proposed dual-mode control method can not only satisfy the operation in the complex and changeable farmland environment, but also free drivers from high-intensity and fatiguing work. This provides a perfect application solution and theoretical support for the intelligentization of unmanned farm agricultural machinery with high safety and reliability.      

A hierarchical attention-based neural network architecture, based on human brain guidance, for perception, conceptualisation, action and reasoning

We present a neural network software architecture, guided by that of the human and more generally primate brain, for the construction of an autonomous cognitive system (which we have named GNOSYS). GNOSYS is created so as to be able to attend to stimuli, to conceptualise them, to learn their predicted reward value and reason about them so as to attain those stimuli in the environment with greatest predicted value. We apply this software system to an embodied version in a robot, and describe the activities in the various component modules of GNOSYS, as well as the overall results. We briefly compare our system with some others proposed to have cognitive powers, and finish by discussion of future developments we propose for our system, as well as expanding on the arguments for and against our approach to creating such a software system.     

异构环境下实时多媒体信息组播技术

该文先介绍了组播骨干网(Mbone)和组播的相关概念,然后讨论了Internet和Mbone的异构性,在此基础上论述了如何有效地在异构环境下传输实时多媒体信息,并比较了两种对异构性的不同解决方案.