共被期刊论文引用了2次
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| 1 | 瞳孔中心快速定位方法研究显示文摘眼球运动是获得和揭示大脑工作信息的重要途径。近年来的研究多将眼球建模成圆或椭圆,利用Hough变换检测圆或椭圆,从而达到瞳孔中心定位的目的。传统的Hough变换(含随机Hough变换)的实时性较差,而为了获得更加准确有效的眼球运动信息,采集帧率往往需要超过100 f/s。为此,利用VOG的暗瞳特性及二值化后瞳孔图像圆的唯一性,通过Video Oculo-graphic(VOG)设备采集眼部视频,对Hough变换进行改进,对预处理过的二值图像进行边缘提取,同时选取边缘上的三点通过点Hough变换得到一个参数组,再用数学期望替代传统Hough变换投票方式,对所有参数组求数学期望,得到最终瞳孔中心。实验证明,该方法可行、精确、稳定。 | 王长元 张景 李京京 | 2011 | 计算机工程与应用2011，47，24： | 11 |
| 2 | Study of Intrusion Detection Systems显示文摘Modern network systems have much trouble in security vulnerabilities such as buffer overflow, bugs in Microsoft Internet, sensor network routing protocol too simple, security flaws of applications, and operating systems. Moreover, wireless devices such as smart phones, personal digital assistants (PDAs), and sensors have become economically feasible because of technological advances in wireless communication and manufacturing of small and low-cost sensors. There are typologies of vulnerabilities to be exploited in these devices. In order to improve securities, many mechanisms are adopted, including authentication, cryptography, access control, and intrusion detection systems (IDS). In general, intrusion detection techniques can be categorized into two groups: misuse detection and anomaly detection. The misuse detection systems use patterns of well-known attacks or weak spots of the systems to identify intrusions. The weakness of misuse detection systems is unable to detect any future (unknown) intrusion until corresponding attack signatures are intruded into the signature database. Anomaly detection methods try to determine whether the deviation is from the established normal usage patterns or not. The critical success of anomaly detection relies on the model of normal behaviors. | Li-Chin Huang Min-Shiang Hwang | 2012 | Journal of Electronic Science and Technology2012，10，3： | 0 |
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