normal tree 中文意思是什麼

normal tree 解釋
本徵樹
  • normal : adj 1 正常的,平常的,普通的;平均的。2 正規的,標準的,額定的,規定的。3 智力正常的,精神健全的...
  • tree : n 特里〈姓氏〉。n 1 樹〈主要指喬木,也可指較大的灌木〉。 ★玫瑰可以稱為 bush 也可以稱為 tree 2 木...
  1. The essence of edid is to set up a normal behavior fuzzy sub collection a on the basis of watching the normal system transfer of the privilege process, and set up a fuzzy sub collection b with real time transfer array, then detect with the principle of minimum distance in fuzzy discern method the innovation point of this paper is : put forward the method of edid, can not only reduce efficiently false positive rate and false negative rate, also make real time intrusion detection to become possibility ; have independent and complete character database, according to the classification of monitoring program, design normal behavior and anomaly behavior etc., have raised the strongness of ids ; use tree type structure to preservation the character database, have saved greatly stock space ; in detection invade, carry out frequency prior principle, prior analysis and handling the behavior feature of high frequency in information table, have raised efficiency and the speed of detection, make real time intrusion detection to become possibility ; have at the same time realized anomaly intrusion detection and misuse intrusion detection, have remedied deficiency of unitary detection method

    這種方法的實質是在監控特權進程的正常系統調用基礎上建立正常行為模糊子集a ,用檢測到的實時調用序列建立模糊子集b ,然後用模糊識別方法中的最小距離原則進行檢測。本文的創新點是:通過對特權進程的系統調用及參數序列的研究,提出了基於euclidean距離的入侵檢測方法edid ,不僅能有效降低漏報率和誤報率,而且使實時入侵檢測成為可能;設計有獨立而完整的特徵數據庫,根據被監控程序的類別,分別設計正常行為、異常行為等,提高了檢測系統的強健性和可伸縮性;特徵數據庫按樹型結構存儲,大大節省了存儲空間;在檢測入侵時,實行頻度優先原則,優先分析和處理信息表中的高頻度行為特徵,提高檢測的速度和效率,使實時入侵檢測成為可能;同時實現了異常入侵檢測和誤用入侵檢測,彌補了單一檢測方法的不足。
  2. This paper analyzes and develops the existing risk analysis model bases on term rewriting system. it divides the group of assets into critical and normal subset, and performs the analysis in separate procedure. this reduces the system complexity, guarantee the priority of the critical assets ; it also introduces and / or attack tree into the attack scenario, cut down the system requirement of space, and provides support for both the coming graph rewriting model and decision selection algorithm

    本文針對項重寫風險分析模型中資產的關鍵性級別,劃分出關鍵資產,通過分步的風險分析,實現不僅可以降低系統復雜度,還能有效保證關鍵資產的優先處理;引入了與或攻擊樹構建攻擊場景,節約了運行所需的空間,為后來的決策選擇打下基礎,同時也為以後的圖重寫的風險分析提供依據。
  3. According to the ideas of the pava algorithm, when sample numbers of three normal populations are different, a procedure of obtaining the maximum likelihood estimators of means and standard deviations under tree - order restrictions is proposed

    根據pava演算法的思想,給出了均值和標準差的比在樹序約束下的極大似然估計的計算方法。
  4. Maximum likelihood estimation of means and variances from normal distribution means under simple tree order restrictions, variances under simple order restrictions

    正態分佈的均值和方差分別被簡單樹半序和簡單半序約束下的保序最大似然估計
  5. At the same time, holes which may appear in walkthrough will be analyzed and filled in the preprocessing stage ; this thesis proposes a local reconstruction and resampling algorithm to generate a set of new samples which distribute more uniformly on surfaces and then they are organized by obb - tree and normal vector clusters

    為彌補參考圖象對場景表達不完備問題,本文給出了重建平面的空洞分析和預填補演算法,在預處理階段即對漫遊時可能出現的空洞進行分析和高質量的填補;本文提出了一個針對基於點表達的物體的局部重建和重采樣演算法。
  6. The suitable tree - like and 3 / 2curve fractal symmetrical vibrators are chosen to make up a log - periodic antenna ( lpda ), the performance, such as reflectance, input impedance, radiation pattern and gain are also compared with normal log - periodic antenna by cst microwave studio ? simulation, in order to investigate the effect of antenna miniaturization. the application of fractal technology in microstrip antenna is introduced at

    最後本文介紹了分形技術在微帶天線中的應用,研究了minkovski分形雙層微帶天線的阻抗特性和方向圖特性,並與普通雙層微帶天線的性能進行比較,討論了minkovski分形對微帶天線尺寸的縮減作用,同樣研究了分形對交叉極化的影響。
  7. For three normal populations with unknown means and variances, assume that there is a tree - order restriction between ratios of means and standard deviations

    摘要考慮3個正態總體均值和方差都是未知參數及所取的3個正態總體樣本數不等時,均值和標準差的比在樹序約束下的極大似然估計。
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