应用差分GPS实现小麦精播机器人定位

应用差分GPS（Global Positioning System,全球定位系统）进行小麦精播机器人的定位,结合NI公司研发的Lab—view图形化编程软件开发了小麦精播机器人定位系统。首先分析了相对定位和绝对定位各种方法的优缺点;然后介绍了小麦精播机器人定位系统具体的工作流程,详细叙述了GPS数据的接收和提取、经纬度...     

基于稀有事件仿真的商业银行IT操作风险评估研究

系统仿真是风险评价的一种重要手段,针对商业银行IT操作风险预警问题,提出了一种基于稀有事件仿真的IT操作风险评估方法。采用商业银行IT操作风险的概率作为衡量IT操作风险高低的标准,构造基于稀有事件的商业银行IT操作风险识别模型,利用交叉熵方法构建了一种稀有事件仿真的有效算法,并由此估计出发生损失的概率。实证分析结果表明,模型对商业银行IT操作风险具有很强的识别能力,从而提供了一个风险预警的新视角。     

行人视频检测中阴影检测与去除方法设计

设计了基于模糊神经网络的目标本体与阴影的自动分类器,将光谱特征值作为神经网络输入,用遗传算法对网络权值和模糊规则实时更新,并结合图像的空间特性对去除结果进行修正.实验结果表明,应用该方法能有效去除阴影,并可提高行人视频检测的准确率.     

絮凝体DLCCA模型仿真及其废水处理

以MATLAB为平台,编写二维有限扩散集团凝聚(Diffusion-Limited Cluster-Cluster Aggregation,DLCCA)模型程序,模拟絮体的生成并计算分形维数,该过程对探讨絮体的生成机理与分离沉降本质有着重要的理论价值,同时,也可指导优化废水处理的实际过程.通过对絮凝体DLCCA模型仿真,将模拟成果用于指导处理印钞废水的研究.计算结果表明:模拟絮体的分形维数在1.47左右,与其他人的研究相近.以聚硅硫酸铁铝(PSFA)为絮凝剂处理印钞废水,发现絮体的分形维数与絮凝剂用量呈先升后降的趋势,分形维数在1.09～1.40之间.比较模拟絮体与以PSFA作为絮凝剂处理印钞废水获得的实际絮体发现,两者十分相似.DLCCA比DLA模型模拟絮体在分形维数和形态上接近实际絮体,说明絮体的凝聚过程用DLCCA模型去描述更好.     

A new design of delay‐dependent robust ℋ︁∞ filtering for continuous‐time polytopic systems with time‐varying delay

This paper revisits the problem of delay‐dependent robust ?_∞ filtering design for a class of continuous‐time polytopic linear systems with a time‐varying state delay. Based on a newly developed parameter‐dependent Lyapunov–Krasovskii functional combined with Projection Lemma and an improved free‐weighting matrix technique for delay‐dependent criteria, a new sufficient condition for robust ?_∞ performance analysis is first derived and then the filter synthesis is developed by using a simple matrix inequality linearization technique. It is shown that the desired filters can be constructed by solving a set of linear matrix inequalities. Finally, two simulation examples are given to show the effectiveness and less conservatism of the proposed method in comparison with the existing approaches. Copyright © 2009 John Wiley & Sons, Ltd.     

A study of demographic embodiments of product recommendation agents in electronic commerce

Product Recommendation Agents (PRAs) and other web-based decision aids are deployed extensively to provide online shoppers with virtual advising services. While the design of PRA’s functional features has received a high degree of attention in academic studies, the social aspects of human–PRA interactions are comparatively less explored.This paper investigates the potential of enhancing users’ social experiences of interacting with an anthropomorphic PRA (i.e., an agent with human-like characteristics, such as facial expressions, body gestures, or speech output) by manipulating its demographic embodiments. The two demographic variables assessed are ethnicity and gender. As suggested by similarity-attraction theory and social identity theory, the results of our laboratory experiment reveal that PRAs that match the ethnicity, though not the gender, of their users are perceived as more sociable, more enjoyable, and more useful to interact with than the mismatched ones. More interestingly, the “matching-up” effects of ethnicity are more significant among female users than males. Implications for practitioners on how to use an anthropomorphic agent’s demographic characteristics to enhance users’ interaction experience are also discussed.     

Modeling group structures in pedestrian crowd simulation

Grouping is a common phenomenon in pedestrian crowds and plays important roles in affecting crowd behavior. Group modeling is still an open challenging problem and has not been incorporated by existing crowd simulation models. Motivated by the need of group modeling for crowd behavior simulation, this paper presents a unified and well-defined framework for modeling the structure aspect of different groups in pedestrian crowds. Both intra-group structure and inter-group relationships are considered and their effects on the crowd behavior are modeled. Based on this framework, an agent-based crowd simulation system is developed and crowd behavior simulations using two different group structures are presented. The simulation results show that the developed framework allows different group structures to be easily modeled. Besides, different group sizes, intra-group structures and inter-group relationships can have significant impacts on crowd behaviors.     

基于DSP的列车信号处理算法分析

介绍一种互相关检测解调算法用于列车交通信号的检测,可将不同制式下的各种高频信号送DSP进行处理,提取出承载列车控制信号的低频信号,以便分析其中的载频信息和低频信息;对互相关检测算法流程作了分析说明,提出该算法在DSP器件上的基本实现方案,并给出了部分实验数据;采用互相关解调算法(能量算法)对轨道信号进行解调,具有运算速度快、精度高、抗干扰性能好和对硬件资源要求低等特点;经过反复的轨道信号实测,完全符合国家标准。     

基于C8051F330的机动车速度监测及无线传输系统

为实现对高速公路机动车行驶速度的全程监测及预警,设计了一种以C8051F330为控制核心的机动车速度监测及无线传输系统;详细叙述了系统设计原理与软硬件的实现方法,系统利用C8051F330单片机控制传感器实时采集机动车行驶速度信号并进行处理,通过RFID标签和读写器无线传输车辆速度、身份信息以及前方路况限速信息,从而实现对高速公路机动车速度的实时监测和预警功能;实验调试表明系统反应速度快、运行可靠且成本低,具有良好的应用前景.     

复杂背景前下视机场的跑道检测

提出了针对复杂背景的从前下视角度航拍机场图像中自动检测机场跑道的方法;基于引力场的模型可以直接建立图像失配代价函数的梯度场;按照最优估计理论,只要在正确匹配位置的收敛域内,就可以沿最速下降路径找到正确匹配位置;基于计算机视觉和惯性导航的组合导航方案,通过借助惯性导航系统提供的机场预测位置可以减少Hough变换所需的时间,保证了实时性的要求;仿真试验表明这种方法对复杂背景、前下视角度的航拍机场图像能够快速准确地检测、定位机场主跑道.