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滑动窗口
    The security of sliding window data transfer
    滑动窗口数据传输的安全问题
    Optimal size of the sliding window in flow control
    滑动窗口流量控制中的窗口大小计算
    Study on Sliding Window Protocols by the Method of Virtual Experiment
    基于虚拟实验方法的滑动窗口协议分析
    Dynamic Sliding Window Protocol for Short-Wave Communication
    一个应用于短波通信的差错控制协议——动态滑动窗口协议
    Join algorithms of compound sliding window
    复合滑动窗口连接算法
    Processing Compressed Sliding Window Continuous Queries over Data Streams
    基于滑动窗口的数据流压缩技术及连续查询处理方法
    Periodically updating sliding window join algorithms over data streams
    数据流上周期更新滑动窗口的连接算法
    Mining Frequent Closed Patterns from a Sliding Window over Data Streams
    基于滑动窗口的数据流闭合频繁模式的挖掘
    Sliding Window Based Method for Processing Continuous J-A Queries on Data Streams
    基于滑动窗口的数据流连续J-A查询的处理方法
    Study on Local Correlation of On-line Handwriting Signature Based on Sliding Window
    基于滑动窗口的动态手写签名局部相关性研究
    Aggregate Algorithms of Compound Sliding Window over Data Streams
    数据流上的复合滑动窗口聚集算法
    Independent Component Analysis Based on Sliding Window
    基于滑动窗口的独立分量分析算法
    A new noise reduction algorithm for chaotic data based on sliding window subspace projection
    基于滑动窗口子空间的混沌信号降噪算法
    Adaptive Elliptic Curve Sliding Window Scalar Multiplication Algorithm
    自适应的椭圆曲线滑动窗口标量乘法
    3. Based on Support Vector Machines, a Machine Learning Model of Sliding Window (MLMSW) was put forward.
    3.提出了基于支持向量机技术的滑动窗口机器学习模型。
    Compared to the case using Wait-and-Stop, the efficiency of the file transfer protocol using dynamic sliding window is head and shoulders above.
    并在实际应用中把采用了动态滑动窗口的文件传输协议与采用了停等协议的文件传输协议的效率进行比较,前者的结果明显地优于后者。
    Comparing with the basic AHE,the computing time of FAHE is decreased from 5 hours to 4 minutes on a 486dx/33 compatible computer, whenusing a 65×65 sliding window for a 512×512 with 8 bits gray-level range.
    同基本的AHE方法相比,对于一256灰阶的512×512图象,在486/33兼容机上采用65×65的滑动窗口,FAHE的计算时间从原来的大约5小时降低到4分钟。
    Metods\ Through the statistic test in sliding window, Fuzzy ARTMAP neural network is adopted to classify model parameters directly.
    方法 通过统计检验滑动窗口的残差 ,再采用模糊 ARTMAP网络直接对模型参数进行分类 .
    Finally,the comparison shows that scalar multiplication with canonical re-coding and sliding window techniques requires 10.32~17.32% fewer operations than m-ary method,and 4.53~8.40% fewer operations than simple sliding window method.
    最后 ,通过比较说明 ,采用规范重编码和滑动窗口技术的椭圆曲线标量乘法的运算开销比用m ary法少 10 32~ 17 32 % ,比单纯采用滑动窗口法也要少 4 5 3~ 8 4 0 % .
    This paper has put forward join algorithms of compound sliding window based on the periodically execution manner, namely CSWSNLJ and CSWSNHJ.
    提出了适用于周期执行的连续查询的复合滑动窗口连接算法 ,即CSWSNLJ算法和CSWSNHJ算法 .
 

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