隨機數據 的英文怎麼說

中文拼音 [suíjīshǔjù]
隨機數據 英文
random data
  • 隨 : Ⅰ動詞1 （跟; 跟隨） follow 2 （順從） comply with; adapt to 3 （任憑; 由著） let （sb do as he li...
  • 機 : machineengine
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 據 : 據Ⅰ動詞1 （占據） occupy; seize 2 （憑借; 依靠） rely on; depend on Ⅱ介詞（按照; 依據） according...
  • 隨機 : random stochasticrandom
  • 數據 : data; record; information
  1. The first one : fitting together ultimate values of every dimensions in one dimension - chain one by one, educing many equations by itself, calculating results, and comparing these results of close dimension to find maximal and minimal values. the second one : projecting all dimensions on two preestablished axis, then providing the solutions to analyze whether every projected dimensions is increscent or decreasing, and synthesize the effect of every projected dimensions to close dimension, educing many equations by itself, at last calculating the result of close dimension. the third one : according to monte carlo analysis, getting every dimensions " values from every dimensions " tolerances at random time after time, simulating the actual circumstances of mass production using these dimensions, and calculating reasonable results of close dimension economically

    鑒于這類系統在各大中小型企業的廣泛應用與相對滯后的研究水平，本文提出了三種新的能切實地解決目前尺寸鏈計算機輔助分析解算中存在的各種難題的設計方案，第一種方案將尺寸鏈中各組成環能取的極值組合起來，自動列方程組，求解每個組合情況下的封閉環尺寸，最後比較這些結果，得出封閉環的最大最小值；第二種方案將尺寸鏈各組成環向預先設定好的兩個方向投影，之後再分析各尺寸環投影分量的增減性，並且提供了組成環兩個方向上的投影分量增減性不一的復雜情況下的解決辦法，綜合組成環各投影分量的增減性，然後自動列出方程組，最後根據各組成環的投影分量以及所列的方程組來確定尺寸鏈封閉環的尺寸；第三種方案以蒙特卡洛法為原理，在尺寸鏈各組成環的取值范圍內使用計算機產生大量隨機數，模擬實際大批量生產中的零件尺寸分佈情況，以更經濟更合理的方式分析、計算封閉環尺寸。
  2. Test results indicated : with the hoist of altitude, the increase of ice amount and the rise of pollutant, the average flashover voltage reduced. the character exponent generally depends on the insulator profile, ice amount, ice state and pollution severity etc. by means of a high - speed camera, a data acquisition system and high voltage test facilities, a series of the flashover processes on ice surfaces were record. the experimental results form this study and the subsequent theoretical analyses suggested : the thermal ionization of the air in front of an arc root resulted in arc movement ; the electrostatic force had an auxiliary effect of impelling arc propagation ; the electrical

    通過對攝像機、數據採集系統及高壓試驗裝置記錄覆冰絕緣子表面閃絡電弧的發展過程的試驗結果進行理論分析得出：弧根周圍空氣的熱電離導致了電弧的發展，靜電場力對電弧的發展起到了加速作用，電擊穿僅發生在閃絡最終的跳躍階段；通過測量閃絡過程中的放電電壓、泄漏電流、閃絡時間、覆冰水電導率、電弧長度及電弧半徑等參數，得到了不同階段電弧（電弧起弧階段、電弧發展階段及完全閃絡）的發展速度、臨界電弧長度均隨覆冰水電導率的增加而減小。
  3. In chapter 7, we combine the monte carlo simulation and optimiza - tion. we first introduce the monte carlo simulation of light transport in tissue, explain how to generate the random num

    首先我們介紹了光在組織中傳播的蒙特仁羅模擬的完整過程，解釋了如何利用第2章中介紹的隨機數生成方法根據實際問題產生隨機數。
  4. Abstract : a technical solution for the multi - channel random data stream by tsr receiving programming is presented. details about resident interrupt receiving, data buffer setup, data segment address keeping, buffer read / write operation and program resident / unresident are described ， and information process programming with advanced language is discussed. the application of this technique in the control system for the automatic burdening of a cement production line is given. the debugging method and procedure is introduced. source program written in advanced language, include data buffer access and calling are listed

    文摘:給出了一種「多通道隨機數據流的中斷駐留接收技術方案」 ，詳細描述了內存駐留中斷接收、開設數據緩沖區、數據段地址保存、駐留/解除和數據緩沖區讀取，討論了高級語言程序信息處理，舉出了該技術方案在「水泥生產線微機全自動配料測控系統」中應用的實例，介紹了調試方法和步驟，給出了高級語言讀取數據緩沖區數據及調用源程序。
  5. Monte carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory. when comes to bayesian classification, it firstly gets the conditional probability distribution of the unlabelled classes based on the known prior probability. then, it uses some kind of sampler to get the stochastic data that satisfy the distribution as noted just before one by one

    蒙特卡羅是一種採用統計抽樣理論近似求解數學或物理問題的方法，它在用於解決貝葉斯分類時，首先根據已知的先驗概率獲得各個類標號未知類的條件概率分佈，然後利用某種抽樣器，分別得到滿足這些條件分佈的隨機數據，最後統計這些隨機數據，就可以得到各個類標號未知類的后驗概率分佈。
  6. Creates an instance of the default implementation of a cryptographic random number generator that can be used to generate random data

    創建可用於生成隨機數據的加密隨機數生成器默認實現的實例。
  7. Finally, the nonlinear identification method to stochastic data in frequency domain is used to analyze and identify the nonlinear characteristic of some multifunctional electrical case with honeycomb sandwich structure

    最後，將隨機數據的頻域非線性分析與辨識方法應用於某鋁蜂窩夾層結構多功能電子機箱的非線性特性研究中。
  8. The honeycomb sandwich structure has been widely utilized in engineering field nowadays. however, due to the complex construction of this structure, it seems not quite easy to describe its dynamic characteristic clearly and completely via conventional methods. the purpose of this thesis is to analyze and identify the dynamic characteristic of honeycomb sandwich structure based on nonlinear methods to stochastic data in frequency domain

    現今鋁蜂窩夾層結構廣泛應用於工程領域，但由於鋁蜂窩夾層結構復雜，使得應用傳統的辨識方法難以對其動力學特性給出清楚和完整的描述，本文的目的就是應用隨機數據的頻域非線性分析與辨識方法對鋁蜂窩夾層結構的動力學特性進行辨識。
  9. Using random data to rewrite the files or the empty disk districts, insuring that data will be removed absolutely after being deleted ; impossible to recover

    採用以隨機數據多次重寫文件或空磁盤區的方案，確保文件的數據在刪除后徹底清除，不可恢復。
  10. Commands to set data patterns, perform ecc tests, manipulate the error log, dump the sequencer ram

    用來為測試配置柱面，磁頭，給出選項來隨機柱面/磁頭和隨機數據模式的指令。
  11. Common probability distributions : a compendium which covers numbers of useful distributions for modeling of random data

    常見的機率分佈:此概要包括許多為隨機數據建模所用的分佈。
  12. The debug version of the runtime overwrites the contents of discarded back buffers with random data, to enable developers to verify that their applications are updating the entire back buffer surface correctly

    運行庫的調試版本使用隨機數據改寫舍棄的后臺緩沖區的內容，從而使開發人員能夠確認其應用程序對整個后臺緩沖區表面的更新正確無誤。
  13. Autoregressive model can predict the low - scale ( high frequency random ) data as well as fnn, but it is simpler than fnn. so we use ar to predict high frequency data. we perform simulations for a certain 30s sttf prediction using different approaches and compare the results

    對于分解后的高頻隨機數據，自回歸（ ar ）模型預測能取得和模糊神經網路相當的精度，但它相對而言數學物理意義更明確，不需要確定繁雜的模糊規則。
  14. Into our program, view the assembly code generated to call

    一個解決方案就是採用多個隨機數據源，並且將數據流xor到一起。
  15. The encryption key will be generated from random data during the installation

    加密密鑰會在安裝過程中使用隨機數據生成。
  16. The random data that was shared between the client and server is used to create a

    在客戶機和服務器之間共享的隨機數據用來創建
  17. Determines whether the content of this partition should be overwritten with random data before setting up the encryption

    決定在建立加密前是否使用隨機數據覆蓋分區內容。
  18. Abstract : the dynamic stall experiment is an unsteady aerodynamic test, whose experimental data are random

    文摘:動態失速風洞實驗是一種非定常實驗，其測量所得數據屬于隨機數據范疇。
  19. Random key a new encryption key will be generated from random data each time you try to bring up the encrypted partition

    當您每次使用加密分區的時候，會從隨機數據中生成一個新的加密密鑰。
  20. If authentication succeeds, both the server and client run the shared random data through an algorithm to create the master secret

    如果認證成功，那麼服務器和客戶機就會通過一個演算法使用這個共享的隨機數據來創建
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