基于语义与规则的有标复句层次体系研究

汉语复句层次关系分析是中文信息处理领域极具挑战性的课题之一。为解决关系词标识信息不充足所导致的复句层次关系识别准确率下降问题,挖掘了影响分句关联的形式化语义知识,在此基础上构建了小句关联体识别算法并将其应用于相应的复句层次判定规则之中,以辅助分析其层次关系;对于其余单、多重有标复句的层次识别,使用基于搭配规则的移进-归约算法;最后提出了一种语义与规则相结合的复句层次分析模型。实验结果表明,此方法在一定程度上提高了复句层次关系识别的准确率。     

两轮摩托车变挡机构动力学分析

用Adams建立某两轮摩托车的虚拟样机,对其变挡机构进行动力学仿真计算,找出影响变挡脚踏力的关键因素,提出优化设计思路,解决该车在使用过程中脚踏变挡不顺畅且费力的问题,提高该车型的综合性能.     

Modeling the impact of spectral sensor configurations on the FLD retrieval accuracy of sun-induced chlorophyll fluorescence

Chlorophyll fluorescence is related to photosynthesis and can serve as a remote sensing proxy for estimating photosynthetic energy conversion and carbon uptake. Recent advances in sensor technology allow remote measurements of the sun-induced chlorophyll fluorescence signal (Fs) at leaf and canopy scale. The commonly used Fraunhofer Line Depth (FLD) principle exploits spectrally narrow atmospheric oxygen absorption bands and relates Fs to the difference of the absorption feature depth of a fluorescensing and a non-fluorescensing surface. However, due to the nature of these narrow bands, Fs retrieval results depend not only on vegetation species type or environmental conditions, but also on instrument technology and processing algorithms. Thus, an evaluation of all influencing factors and their separate quantification is required to further improve Fs retrieval and to allow a reproducible interpretation of Fs signals.Here we present a modeling study that isolates and quantifies the impacts of sensor characteristics, such as spectral sampling interval (SSI), spectral resolution (SR), signal to noise ratio (SNR), and spectral shift (SS) on the accuracy of Fs measurements in the oxygen A band centered at 760 nm (O₂-A). Modeled high resolution radiance spectra associated with known Fs were spectrally resampled, taking into consideration the various sensor properties. Fs was retrieved using the three most common FLD retrieval methods, namely the original FLD method (sFLD), the modified FLD (3FLD) and the improved FLD (iFLD). The analysis investigates parameter ranges, which are representative for field and airborne instruments currently used in Fs research (e.g., ASD FieldSpec, OceanOptics HR, AirFLEX, AISA, APEX, CASI, and MERIS).Our results show that the most important parameter affecting the retrieval accuracy is SNR, SR accounts for ≤ 40% of the error, the SSI for ≤ 12%, and SS for ≤ 7% of the error. A trade-off study revealed that high SR can partly compensate for low SNR. There is a strong interrelation between all parameters and the impact of specific parameters can compensate or amplify the influence of others. Hence, the combination of all parameters must be considered by the evaluation of sensors and their potential for Fs retrieval. In general, the standard FLD method strongly overestimates Fs, while 3FLD and iFLD provide a more accurate estimation of Fs. We conclude that technical sensor specifications and the retrieval methods cause a significant variability in retrieved Fs signals. Results are intended to be one relevant component of the total uncertainty budget of Fs retrieval and have to be considered in the interpretation of retrieved Fs signals.     

基于FPGA的铁路移频信号测试系统设计

介绍了一种基于FPGA和单片机的移频信号检测系统新方案,对移频信号进行实时检测和处理,并给出系统的硬件构成框图、硬件设计和软件设计.该移频信号检测系统具有集成度高、电路简单、接口方便、运算速度快、精确度高、实时性好等优点.     

基于梯度特征与彩色特征相融合的mean shift跟踪方法

针对mean shift跟踪方法中存在的光照变化不稳定问题,提出了基于梯度特征与彩色特征相融合的mean shift跟踪方法。首先分别提取目标的梯度特征和彩色特征,利用多尺度的相似度计算方法进行特征的匹配,然后通过最大化相似度对目标进行跟踪。通过物体和人体等运动目标的跟踪,验证了改进的跟踪算法在光照变化情况下的鲁棒性优于原有的算法,显著降低了跟踪位置误差。     

基于ZOOM-FFT的移频信号参数算法研究

为了准确检测轨道电路移频信号的参数,在分析国内外轨道电路移频信号频谱特点的基础上,提出了针对两种不同信号分别采用整周期和欠采样的采样方法,在以上采样的基础上,介绍了ZOOM-FFT算法的原理和实现步骤,并采用ZOOM-FFT对信号载频附近的频段进行频谱细化放大,提取实验数据。仿真结果表明上述方法是可行的,可以准确检测轨道电路移频信号的参数,有效提高了信号的频率分辨率,满足了技术指标的要求。     

可变长移位逻辑的设计与实现

主要研究可变长移位逻辑的几种设计方法。为克服传统的采用移位寄存器来实现可变长移位功能消耗大量寄存器和组合逻辑资源的缺点,结合Xilinx FPGA的结构,提出了基于Xil-inx FPGA的实现方法;针对ASIC设计,提出了两种基于存储器的实现方法,并对它们的优缺点进行了分析和比较,同时给出了原理图和仿真波形。     

Robust object tracking with background-weighted local kernels

Object tracking is critical to visual surveillance, activity analysis and event/gesture recognition. The major issues to be addressed in visual tracking are illumination changes, occlusion, appearance and scale variations. In this paper, we propose a weighted fragment based approach that tackles partial occlusion. The weights are derived from the difference between the fragment and background colors. Further, a fast and yet stable model updation method is described. We also demonstrate how edge information can be merged into the mean shift framework without having to use a joint histogram. This is used for tracking objects of varying sizes. Ideas presented here are computationally simple enough to be executed in real-time and can be directly extended to a multiple object tracking system.     

红外传感器应用时的自动零位跟踪

热敏型红外传感器被用在温度一维分布测量系统中 ,使用时将传感器接入由数字电位器及电阻器组成的电桥中。通过单片机直接控制数字电位器 ,实现了传感器零位的自动跟踪 ,成功地解决了传感器的直流漂移问题     

基于统计移位排序结构的高速路由器公平队列调度算法实现

高速化和多媒体化是未来网络的主要发展方向,为了给用户提供可靠的端到端服务质量保证,通常需要在网络的中继节点上引入基于流的队列调度机制。WF^2Q＋队列调度算法即是一种性能优异同时又易于实现的公平队列调度算法。文中提出了一种基于统计移位排序结构的WF^2Q＋算法高速硬件实现方法,该方法充分利用队列的统计信息,以相对较少的硬件资源实现了统计意义上的快速完全排序。FPGA实现的结果表明,该结构可以应用于端口速率为OC－48的高速IP路由器上。