• In case 6, the heart looks "inverted" compared to normal (Figure 8). This phenomenon is called dextrocardia, and it results from a looping anomaly during embryologic development.

    病例6中的心脏与正常相比看上去就像“反转”了一样(图8),这称作右位心,是由于胚胎发育过程中的心脏成环异常导致。

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  • The rule sets of the system include normal behavior rules and abnormal behavior rules, it make the system can carry out the anomaly detection and misuse detection in theory.

    其中规则库中包含正常行为规则和异常行为规则,使得原型系统在理论上既可实现误用检测也可实现异常检测,并采用关联规则挖掘模块对网络连接数据进行处理。

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  • Results in 12 asymptomatic patients, 1 vertebral artery with developmental anomaly, 1 with coiling, the rest vertebral arteries and basilar arteries were normal.

    结果12例无症状患者中椎动脉发育异常1例,迂曲1例,其他椎动脉及基底动脉无异常。

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  • The gravity data processing includes displacement rectification, normal field correction, Eotvos rectification, Bouguer correction and Grany anomaly correction.

    重力资料内业整理包括零点位移校正、正常场改正、厄特渥斯校正、布格改正及格莱尼异常改正等。

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  • Mining audit trails to derive the normal user profiles is the common method adapted by anomaly detection.

    挖掘系统审计记录构造用户的行为轮廓,是异常检测的常见方法。

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  • Use data mining methods to analyze the audit data and provide anomaly detection based on the generated normal patterns, this method can improve the performance of intrusion detection system.

    利用数据挖掘技术对审计数据加以分析,总结出一些正常模式,用来进行异常检测,将有助于提高入侵检测系统的检测准确性和完备性。

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  • The volcanic eruptions are correlated with geoid, the positive geoid anomaly can build up high normal stress, which is in favor of huge eruptions.

    火山喷发活动还与当地的重力势有关,重力势正异常可能与高的正压力有关,有利于产生特大喷发。

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  • Secondly, the anomaly detection model based on K-means algorithm and SOM network is constructed. It can classify the normal and abnormal network data stream so better to detect the unknown attack.

    提出了一种k-均值聚类算法和SOM自组织神经网络算法相结合的异常检测模型,使得系统可以更好的分类正常数据流和异常数据流,以此来防范未知的攻击。

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  • Anomaly detection model first summarizes the signatures normal operations which should have to educe models of normal operations, and then monitors the subsequent operations.

    异常检测模型首先总结正常操作应该具有的特征,得出正常操作的模型,对后续的操作进行监视,一旦发现偏离正常统计学意义上的操作模式,即进行报警。

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  • It is always a difficult problem to erect a model of normal behaviors in the area of network traffic anomaly detection, a method of network intrusion detection.

    流量异常检测,作为一种网络入侵检测的方法,存在着如何建立正常行为模型的难题。

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  • Two approaches to anomaly detection of program behaviors are presented which both use a Markov process to represent the normal behavior profile of a program.

    研究了马尔可夫过程在程序行为异常检测中的应用,提出两种新的检测方法。

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  • Describing normal behaviors is one of the difficulties that an anomaly detection system faces.

    对正常行为的描述是异常检测系统必须要解决好的核心问题之一。

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  • This model can adapt to continuously changing environments, dynamically learning the fluid normal patterns and predict new anomaly patterns.

    该模型可以适应连续改变的环境,动态地学习变化的“正常”模式以及预测新的“异常”模式。

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  • Network traffic anomaly refers to the status that traffic behaviors depart from the normal behaviors, which has characteristics of a sudden attack and the unknown threatened characteristics.

    网络流量异常是指网络的流量行为偏离其正常行为的情形,具有发作突然、先兆特征未知的特点,有可能在短时间内给网络及其设备带来极大的伤害。

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  • Developmental venous anomaly represents aberrant venous drainage of normal brain parenchyma.

    发育性静脉异常是指正常脑实质内的异常静脉引流。

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  • Based on the signal-power dependence measurement for the normal and anomalous lines, a double resonance and collision Ionization model is suggested to elucidate the intensity anomaly.

    提出了双共振及碰撞电离模型,以解释实验中出现的强度反常谱线。

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  • The method has the advantage of ensuring that a normal state can be automatically recovered when anomaly appears in the upgrading process so as to finish the starting and upgrading process.

    可保证在升级的过程中遇到异常状况都能够自动恢复的正常状态,以完成启动和升级过程。

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  • The method has the advantage of ensuring that a normal state can be automatically recovered when anomaly appears in the upgrading process so as to finish the starting and upgrading process.

    可保证在升级的过程中遇到异常状况都能够自动恢复的正常状态,以完成启动和升级过程。

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