基于多源数据融合的注射坯密度分布控制算法

自动化和智能化是未来粉末注射成形技术的重要发展方向,本文通过对注射模具温度基于滑动窗口技术的数据挖掘处理以及对注射坯CT切片密度分布的分析修正、阈值预处理后,采用基于神经网络数据融合的方式对多源数据进行融合,实现对注射坯密度分布的有效控制。     

基于信任向量的P2P信任机制

针对现有P2P信任机制不能有效地检测和惩罚短期内反复建立信任然后进行恶意攻击的摇摆节点,本文提出了基于信任向量和时间窗口的信任机制,用信任向量记录节点的交易信息,用时间窗口收集最近一段时间内交易的记录,提高了信任评估的准确性和动态性。仿真实验表明,与已有的信任机制相比,该机制能够有效处理动态恶意节点行为。     

Multivariate statistical process control based on multiway locality preserving projections

An approach for multivariate statistical process control based on multiway locality preserving projections (LPP) is presented. The recently developed LPP is a linear dimensionality reduction technique for preserving the neighborhood structure of the data set. It is characterized by capturing the intrinsic structure of the observed data and finding more meaningful low-dimensional information hidden in the high-dimensional observations compared with PCA. In this study, LPP is used to extract the intrinsic geometrical structure of the process data. Hotelling’s T² (D) and the squared prediction error (SPE or Q) statistic charts for on-line monitoring are then presented, and the contribution plots of these two statistical indices are used for fault diagnosis. Moreover, a moving window technique is used for the implementation of on-line monitoring. Case study was carried out with the data of industrial penicillin fed-batch cultivations. As a comparison, the results obtained with the MPCA are also presented. It is concluded that the Multiway LPP (MLPP) outperforms the conventional MPCA. Finally, the robustness of the MLPP monitoring is analyzed by adding noises to the original data.     

改进的滑动窗口标量乘算法

;标量乘法是实现椭圆曲线密码体制的瓶颈问题,本文对传统滑动窗口算法进行改进,首先利用预处理栈存储非零窗口值与非零窗口权的指数,然后结合底层域直接计算2kR S算法和预计算表提出了新的标量乘算法.新算法在以牺牲适量的存储空间换取赋值阶段效率的提高.本文还分析出在混合坐标下,当w=4时新算法比仿射坐标下传统滑动窗口算法效率提高约40.6%左右,而且新算法同时还抵抗基于边际信道的攻击.     

面向航空电子的分区操作系统

伴随新一代航空电子的综合化趋势,机载软件对机载操作系统提出新的要求.通过管理系统的软硬件资源,包括内存、CPU、通信等,机载操作系统将各类机载软件融合在同一个CPU上,实现综合化.该文给出一种面向航空电子的分区操作系统的实现框架,支持二级调度,对于各类机载软件实施分区调度,并且分区的运行互不干扰,保证了分区的安全性.     

存储最优的连续MAX查询方法

考虑滑动窗口数据流上的连续MAX查询问题,提出了一种存储最优的方法.该方法只需保存数据集中可能成为极大值点的部分数据(候选点集),而将所有完全不可能成为极值点的数据进行丢弃,从而可以有效降低存储开销;提出了一个动态维护候选点集的方法,当数据独立分布时,处理一个新到数据所需的时间为O(1og N),处理数据失效的时间开销为O(1),其中N为滑动窗口包含的全部数据数目.理论分析和实验结果表明了该方法能够适应流速很快的场景,具有较高的效率.     

Improved Approximate Detection of Duplicates for Data Streams Over Sliding Windows

Detecting duplicates in data streams is an important problem that has a wide range of applications. In general,precisely detecting duplicates in an unbounded data stream is not feasible in most streaming scenarios,and,on the other hand,the elements in data streams are always time sensitive. These make it particular significant approximately detecting duplicates among newly arrived elements of a data stream within a fixed time frame. In this paper,we present a novel data structure,Decaying Bloom Filter(DBF),as an extension of the Counting Bloom Filter,that effectively removes stale elements as new elements continuously arrive over sliding windows. On the DBF basis we present an efficient algorithm to approximately detect duplicates over sliding windows. Our algorithm may produce false positive errors,but not false negative errors as in many previous results. We analyze the time complexity and detection accuracy,and give a tight upper bound of false positive rate. For a given space G bits and sliding window size W,our algorithm has an amortized time complexity of O((G/W))~(1/2). Both analytical and experimental results on synthetic data demonstrate that our algorithm is superior in both execution time and detection accuracy to the previous results.     

嵌入式汽车车窗控制器设计

为了降低汽车车窗控制器成本,提高可靠性,本设计运用低成本Microchip单片机作为核心设计了汽车车窗控制器,实现了一键升降、防夹、延时等功能。本设计产品已小批量生产,用于海南马自达轿车。     

彩色扫描地图中线目标的矢量化方法

地图要素的矢量化是从扫描地图中获取地理信息的重要问题之一.通过分析彩色扫描地图的颜色特征,提出了一种线目标半自动矢量化的方法.该方法通过在用户选择的线目标上加一个滑动窗,采用颜色空间转换、K-均值聚类和区域生长相结合的方法对窗口内的当前线目标进行自适应分割;再通过不断地沿前进方向移动窗口和对窗口内的线目标进行分割、细化及序贯跟踪,来完成线目标的矢量化.实验结果表明,文中方法快速、准确、适应性强,对于低对比度、低信噪比的彩色扫描地图尤为有效.     

移动环境中基于规则的数据收集技术

数据收集是指在断连前把用户将来可能访问的数据预先存储到本地缓存的过程,在研究基于失效报告的缓存策略的基础上,提出了一种超图模型的自动数据收集技术。理论分析和实验结果表明,该技术开销较低,可以有效提高Cache命中率和降低平均访问时间,尤其适用于缓存较大和注意力频繁转移的情况。