NBA常规赛同部不同区的球队的比赛安排

NBA常规赛同部不同区球队的比赛有的队赛3场有的队赛4场,故NBA常规赛同部不同区球队的比赛安排是整个赛程安排的难点。笔者分别以公平性及观赏性为目标,作出了NBA常规赛中同部不同区的球队的比赛安排。且用行、列追逐法对赛3场时的主、客场作出了安排。     

A novel low-noise high-linearity CMOS transmitter for mobile UHF RFID reader

A novel CMOS transmitter with low TX noise and high linearity is implemented in a 0.18μm 1P6M standard CMOS process for Mobile UHF RFID reader.Adopting double-sideband amplitude-shift-keying(DSBASK)as the only modulation is supported,this transmitter has very low power consumption.A novel analog baseband circuit is proposed to reduce the transmitter noise.With a G′′m–cancellation technology,a highly linear up-conversion active mixer and a power amplifier driver are designed.The transmitter has a measured output1 dB compression point of 13.4 dBm.Occupying a silicon area of about 1 mm2and consuming 144 mW from a1.8 V voltage supply,the transmitter makes the Mobile UHF RFID reader communicate with a transponder in a distance of 1 m conveniently.     

面向智能驾驶的平行视觉感知：基本概念、框架与应用

目的 视觉感知技术是智能车系统中的一项关键技术,但是在复杂挑战下如何有效提高视觉性能已经成为智能驾驶领域的重要研究内容。本文将人工社会（artificial societies）、计算实验（computational experiments）和平行执行（parallel execution）构成的ACP方法引入智能驾驶的视觉感知领域,提出了面向智能驾驶的平行视觉感知,解决了视觉模型合理训练和评估问题,有助于智能驾驶进一步走向实际应用。方法 平行视觉感知通过人工子系统组合来模拟实际驾驶场景,构建人工驾驶场景使之成为智能车视觉感知的“计算实验室”;借助计算实验两种操作模式完成视觉模型训练与评估;最后采用平行执行动态优化视觉模型,保障智能驾驶对复杂挑战的感知与理解长期有效。结果 实验表明,目标检测的训练阶段虚实混合数据最高精度可达60.9%,比单纯用KPC（包括：KITTI（Karlsruhe Institute of Technology and Toyota Technological Institute）,PASCAL VOC（pattern analysis,statistical modelling and computational learning visual object classes）和MS COCO（Microsoft common objects in context））数据和虚拟数据分别高出17.9%和5.3%;在评估阶段相较于基准数据,常规任务（-30°且垂直移动）平均精度下降11.3%,环境任务（雾天）平均精度下降21.0%,困难任务（所有挑战）平均精度下降33.7%。结论 本文为智能驾驶设计和实施了在实际驾驶场景难以甚至无法进行的视觉计算实验,对复杂视觉挑战进行分析和评估,具备加强智能车在行驶过程中感知和理解周围场景的意义。     

区间时变时滞离散系统的稳定性分析及控制器设计

含有区间状态时滞的系统在实际中有重要的应用,如它可以方便地描述一类网络控制系统.本文对含有区间状态时滞的线性离散系统考虑了稳定性分析与状态反馈控制器设计问题.为研究该类系统的稳定性,通过引入二重求和和三重求和构造了新型的Lyapunov-Krasovskii泛函.在对所构造的泛函处理其差分的过程中,利用了基于Abel引理的有限和不等式技术以及时滞分割方法,进而提出了该类系统稳定的线性矩阵不等式充分性条件.相对于以往的Lyapunov泛函,本文所提出的Lyapunov-Krasovskii泛函包含更多的时滞信息,而且所采用的差分处理方法不涉及原系统的模型变化,因而所提出的渐近稳定充分条件具有较低保守性.另外,相对于以前存在的自由权矩阵方法,本文所提出的方法具有较少的可行性变量矩阵,因而能有效地降低计算量.基于所提出的稳定性条件,本文进一步提出了无记忆状态反馈镇定控制器的设计方法.所提出镇定控制器设计方法也通过线性矩阵不等式给出,具有很好的数值稳定性.最后,通过数值算例验证了所提方法的正确性和有效性.     

面向数字舞台表演的海龟机器人系统研制

针对所创作的机器人戏剧剧本,研制一套用于数字舞台表演的大型海龟机器人系统.该机器人由机械系统和控制系统组成,机械部分由4条3DOF模块化轻型腿、一套具有连续曲率的柔性脖子、龟壳开合装置和碳纤维框架组成,所有电机、电路板等机电部件安装于躯干中,通过同步带将电机的运动传递到外端,降低了悬臂部分的尺寸和质量,减轻了电机的负载.系统的控制部分由上位机及嵌入式控制器组成,分别提供顶层的人机交互和底层的关节实时控制功能.采用重心自调整的方法规划运动步态,确保多足运动的稳定性.经大量实验,研制、开发了样机,完成了机器人戏剧的公演,所研制的机器人可以完美地演绎戏剧角色,外形美观,惹人喜爱,表演效果极佳.     

一种新的自动驾驶轨迹规划方法

提出了一种轨迹规划算法,该算法可以为自动驾驶生成舒适安全的轨迹,障碍物通过摄像头或车间通讯的协同感知消息（（CAM））和分散化环境通知消息（DENM）方式感知。该算法主要分为3个部分,首先由轨迹生成模块生成舒适的轨迹簇,其次由于传感器可能存在的误差,对其他交通车的位置和速度进行估计,最后由轨迹选择模块选择最适合的轨迹。为了帮助无人车做出决策,建立了碰撞概率模型。在MATLAB环境下的仿真证明了该算法安全可靠。     

采用自适应字典学习的InSAR降噪方法

We consider the phase noise filtering problem for interferometric synthetic aperture radar (InSAR) based on the dictionary learning technique. Due to the non-convexity of the optimization problem is difficult to solve. By using the splitting technique and employing the augmented Lagrangian framework, we obtain a relaxed nonlinear constraint optimization problem with l₁-norm regularization which can be solved efficiently by the alternating direction method of multipliers (ADMM). Specifically, we firstly train dictionaries from the InSAR complex phase data, and then reconstruct the desired complex phase image from the sparse representation. Simulation results based on simulated and measured data show that this new InSAR phase noise reduction method has a much better performance than several classical phase filtering methods in terms of residual count, mean square error (MSE) and preservation of the fringe completeness.     

Efficient Preparation and Characterization of Functional Graphene with Versatile Applicability

Graphene, as star versatile materials having extraordinarily high electric conductivity, electron mobility, thermal conductivity, thermal stability, optical transparency, and mechanical strength, has attracted much attention from scientists and engineers in the field of materials, chemistry, physics, energy, and environment in the last decade and achieved fruitful accomplishment. This review discusses preparation strategies, functionality, characterization, and applications for two dimensional nanosheet and quasi-one-dimensional nanoribbon of graphene through direct exfoliation of graphite, chemical vapor deposition of hydrocarbon, laser-induced direct synthesis of graphene, laser etched graphene oxide in the dry state without the use of toxic reducing agent hydrazine, unzipping carbon nanotube, and polycondensation of polycyclic aromatics on the basis of 178 representative references mostly in 2015. The stabilization of graphene oxide prepared in chemical preparation in "top-down" is emphasized. Several vital classic methods of characterizing molecular structure, C/O ratio, defect, morphology, single-or few-layered (2 to 10 layers) structure, porous and hollow structures, including Raman spectroscopy, AFM, SEM, TEM, STM, electron diffraction, X-ray diffraction, and X-ray photoelectron spectroscopy are systematically introduced. Because graphene possesses novel incomparable multifunctionalities, its versatile applications as novel conducting additives, reinforcing filler, separation membrane, sensor, anticorrosive coating, catalyst, electromagnetic shield, lubricant, and flexible electrode materials in electrochemical and electronic devices, including photovoltaic cells, supercapacitors, rechargeable batteries, sensors, field effect transistors, light emitting diodes, separation membranes, adsorbents and absorbents, catalysts, electro-optic modulator, terahertz emitter and detector, and semiconductors, have been mentioned.Especially in the aspect of both high performance and cost-effectiveness, graphene is expected to be even superior to the expensive carbon nanotubes.     

高阶马尔可夫链无线链路连通性建模

针对动态无线网络对高精度链路连通性建模的需求,结合无线电波传播特性和节点运动模式,基于高阶马尔可夫链建立链路连通性模型.采用统计方法获取模型参数转移概率矩阵,并利用模型评估链路生命时间等网络特性参数.通过仿真实验分析链路生命时间精度与马尔可夫链阶数的对应关系.研究表明,链路生命时间精度随着马尔可夫链阶数增加而提高,四阶以上马尔可夫模型生成的链路生命时间精度提升不明显.相比多状态一阶马尔可夫链路连通性模型,四阶马尔可夫模型在仿真链路生命时间时误差降低68%.