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    • 31. 发明申请
    • HANDHELD ELECTRONIC DEVICE AND REMOTE CONTROL METHOD
    • 手持电子设备和远程控制方法
    • US20130137466A1
    • 2013-05-30
    • US13442149
    • 2012-04-09
    • Hsaio-Han ChenYi-Bing LinCoral Ying-Rong SungRen-Huang Liou
    • Hsaio-Han ChenYi-Bing LinCoral Ying-Rong SungRen-Huang Liou
    • H04W24/00
    • H04N21/42206H04N21/42222
    • A handheld electronic device and a remote control method are provided. The handheld electronic device comprises a display unit, an electronic compass and a processing unit. The reference locations are correlated with the controlled device. The processing unit constructs the coordinate system and calculates the reference location coordinates for the reference locations in the coordinate system. After the coordinate system is constructed, the electronic compass measures the current direction information directed towards the controlled device to be remote controlled from a current location. The processing unit controls the display unit to display a control interface of the controlled device to be remote controlled. The electronic compass measures origin direction information directed towards at least two reference locations from an origin location and measures move direction information directed towards the reference locations from a move location.
    • 提供了一种手持电子设备和远程控制方法。 手持电子设备包括显示单元,电子罗盘和处理单元。 参考位置与受控设备相关。 处理单元构造坐标系,并计算坐标系中参考位置的参考位置坐标。 在构建坐标系之后,电子罗盘测量当前方向信息,指向受控设备从当前位置进行远程控制。 处理单元控制显示单元显示受控设备的控制界面以进行远程控制。 电子罗盘测量从起始位置指向至少两个参考位置的起始方向信息,并且测量从移动位置指向参考位置的移动方向信息。
    • 40. 发明授权
    • Botnet early detection using hybrid hidden markov model algorithm
    • 僵尸网络早期检测使用混合隐马尔可夫模型算法
    • US08307459B2
    • 2012-11-06
    • US12726272
    • 2010-03-17
    • Hahn-Ming LeeChing-Hao MaoYu-Jie ChenYi-Hsun WangJerome YehTsu-Han Chen
    • Hahn-Ming LeeChing-Hao MaoYu-Jie ChenYi-Hsun WangJerome YehTsu-Han Chen
    • G06F7/04G06F11/00
    • H04L63/1441H04L2463/144
    • A botnet detection system is provided. A bursty feature extractor receives an Internet Relay Chat (IRC) packet value from a detection object network, and determines a bursty feature accordingly. A Hybrid Hidden Markov Model (HHMM) parameter estimator determines probability parameters for a Hybrid Hidden Markov Model according to the bursty feature. A traffic profile generator establishes a probability sequential model for the Hybrid Hidden Markov Model according to the probability parameters and pre-defined network traffic categories. A dubious state detector determines a traffic state corresponding to a network relaying the IRC packet in response to reception of a new IRC packet, determines whether the IRC packet flow of the object network is dubious by applying the bursty feature to the probability sequential model for the Hybrid Hidden Markov Model, and generates a warning signal when the IRC packet flow is regarded as having a dubious traffic state.
    • 提供僵尸网络检测系统。 突发特征提取器从检测对象网络接收因特网中继聊天(IRC)分组值,并相应地确定突发特征。 混合隐马尔可夫模型(HHMM)参数估计器根据突发特征确定混合隐马尔可夫模型的概率参数。 流量简档生成器根据概率参数和预定义的网络流量类别建立混合隐马尔可夫模型的概率序列模型。 可疑状态检测器响应于接收到新的IRC分组而确定与中继IRC分组的网络相对应的业务状态,通过将突发特征应用于概率序列模型来确定对象网络的IRC分组流是否可疑, 混合隐马尔可夫模型,并且当IRC分组流被认为具有可疑业务状态时,生成警告信号。