飞思卡尔ColdFire~ LCD器件为工业HMI应用添加触摸功能

<正> 带有触摸屏界面的液晶显示屏(LCD)为众多消费电子产品提供了出色的易操作性,也成为越来越多的消费电子设备的必备组件。为了帮助在工业人机界面(HMI)应用中加快基于触摸的控制的部署,飞思卡尔推出了具有集成触摸屏控制器的 ColdFire~LCD 微处理器。这个先进的32位器件为那些需要出色性能、集成和设计灵活性的人控商业和工业应用提供了非常理想的嵌入式     

Techniques for pipelined broadcast on ethernet switched clusters

By splitting a large broadcast message into segments and broadcasting the segments in a pipelined fashion, pipelined broadcast can achieve high performance in many systems. In this paper, we investigate techniques for efficient pipelined broadcast on clusters connected by multiple Ethernet switches. Specifically, we develop algorithms for computing various contention-free broadcast trees that are suitable for pipelined broadcast on Ethernet switched clusters, extend the parametrized LogP model for predicting appropriate segment sizes for pipelined broadcast, show that the segment sizes computed based on the model yield high performance, and evaluate various pipelined broadcast schemes through experimentation on Ethernet switched clusters with various topologies. The results demonstrate that our techniques are practical and efficient for contemporary fast Ethernet and Giga-bit Ethernet clusters.     

Bandwidth Efficient All-to-All Broadcast on Switched Clusters

Clusters of workstations employ flexible topologies: regular, irregular, and hierarchical topologies have been used in such systems. The flexibility poses challenges for developing efficient collective communication algorithms since the network topology can potentially have a strong impact on the communication performance. In this paper, we consider the all-to-all broadcast operation on clusters with cut-through and store-and-forward switches. We show that near-optimal all-to-all broadcast on a cluster with any topology can be achieved by only using the links in a spanning tree of the topology when the message size is sufficiently large. The result implies that increasing network connectivity beyond the minimum tree connectivity does not improve the performance of the all-to-all broadcast operation when the most efficient topology specific algorithm is used. All-to-all broadcast algorithms that achieve near-optimal performance are developed for clusters with cut-through and clusters with store-and-forward switches. We evaluate the algorithms through experiments and simulations. The empirical results confirm our theoretical finding.     

Feature extraction for man-made objects segmentation in aerial images

This paper describes a new aerial image segmentation algorithm by level set. The non-subsampled contourlet transform (NSCT) is selected to represent the image features for the classification of man-made object. NSCT can avoid pseudo-Gibbs phenomena around singularities during the process of image denoising, owing to the properties of shift-invariant. NSCT also enriches the set of basis functions which makes it possible to extract some critical signal features. The optimization of basis selection is applied in the NSCT to ensure the decomposition based on the maximum information content. Another kind of feature named RMS_error is also extracted from fBm model. Then a modified Mumford-Shah model which comprises the NSCT features and RMS_error features extracted from the aerial images is built to segment the aerial image by a necessary level set evolution. At last the proposed method is proven to be effective by the results of experiments.     

一种基于负载均衡的Ad Hoc网络接入Internet路由机制

在移动自组网(MANET)与Internet互联的网络结构中,由于移动节点的能量是影响网络性能的重要因素,因此必须考虑节点的负载及能量问题.本文针对这些问题提出一种基于负载均衡和不对称多径传输的路由机制LBAMR(Load-Balanced and Asymmetrical Multipath Routing),并用NS2软件对其进行了仿真.仿真结果表明,该路由机制能够有效地均衡网络负载并保护网络中的低能量节点,尽可能地延长网络寿命.     

基于可连Cell的无线传感器网络拓扑控制算法

在无线传感器网络的拓扑控制(TC)中,基于Cell的TC算法被认为是一类可以节省传感器节点能量并延长网络生命周期的方法,但是其需要较多的骨干网节点并且无法保证连通性.通过分析现今算法的内在局限性,提出了一种1-Con思想:当一个Cell的头节点被加入当前骨干网时,所有其可以连接的Cell使用该节点连入拓扑结构,然后此新骨干网递归地继续扩大.基于此思想,设计了一种基于可连Cell的拓扑控制算(CCTC),并从理论上证明:1)CCTC可以保证其所形成的拓扑结构维持网络连通;2)每一轮用于形成骨干网的工作节点非常少.CCTC的计算复杂度是线性的,空间复杂度和信息交换量都是常数量级.仿真实验同样显示,CCTC可以在提供良好鲁棒性和较少的消息交换的情况下,更有效地节省节点能耗并延长网络生命周期.     

基于统计的SVC层间编码快速模式决策算法

可分级视频编码提供了较为灵活的编码方式,但层间模式决策算法增加了编码器的计算复杂度。该文分析了基本层和增强层间模式分布的相关性,设计一种层间编码快速模式决策算法。实验结果表明,在PSNR平均仅降低0.04 dB、码率减少0.096%的前提下,该优化算法能使编码时间平均减少50.34%。     

基于耳廓参数与面部特征相结合的人耳识别

针对外耳轮廓特征与人脸五官的比例关系,提出一种基于耳廓几何参数与面部结构特征相结合的生物鉴别方法。该方法将外耳轮廓与人脸某些特征相结合,如特征向量中包括人耳宽度与两眼瞳孔之间的水平距离之比、人耳高度与眼睛和嘴之间的垂直距离之比。实验结果表明,该算法简单、可操作性强,对数据采集设备及采集条件要求较低,识别率较高。     

基于直接估计梯度思想的数据降维算法

高维非线性数据的降维处理对于计算机完成高复杂度的数据源分析是非常重要的。从拓扑学角度分析,维数约简的过程是挖掘嵌入在高维数据中的低维线性或非线性的流形。该文在局部嵌入思想的流形学习算法的基础上,提出直接估计梯度值的方法,从而达到局部线性误差逼近最小化,实现高维非线性数据的维数约简,并在Swiss roll曲线上采样测试取得了良好的降维效果。