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state-transition diagram in Chinese

Pronunciation:
How to pronounce "state-transition diagram""state-transition diagram" in a sentence

Translationmobile phoneMobile

  • 狀態(tài)轉(zhuǎn)移圖

Examples

  • State - transition diagram
    狀態(tài)轉(zhuǎn)移圖
  • We extend the state - transition diagram with uml " actor " notation to show the owner of the object when it is in that state
    我們使用uml " actor "符號來擴(kuò)充狀態(tài)轉(zhuǎn)換關(guān)系圖，以顯示當(dāng)處于該狀態(tài)時(shí)物件的所有者。
  • We used a state - transition diagrams for this model , where the states represent the milestones , and the transitions represent events that cause changes in that state
    我們使用狀態(tài)轉(zhuǎn)換關(guān)系圖來描述這一模型，其中狀態(tài)代表里程碑，轉(zhuǎn)換代表促使變成該狀態(tài)的事件。
  • An ooa model may be expressed informally in diagrams or text , or more formally in entity - relationship ( er ) diagrams , data - flow diagrams , state - transition diagrams , or a variety of specialty representation currently available
    面向?qū)ο蠓治瞿Ｐ涂梢苑钦?guī)地用圖表或者文本表示,或者正規(guī)些用實(shí)體關(guān)系圖,數(shù)據(jù)流圖,狀態(tài)轉(zhuǎn)換圖,或可以利用的其他方式來表示
  • Like the business process model , we used a state - transition diagram , where the states indicate the screens and dialogs and the transitions represents the actual ui events , like menu items being selected and buttons being pressed
    與業(yè)務(wù)流程模型一樣，我們也使用狀態(tài)轉(zhuǎn)換關(guān)系圖，其中狀態(tài)代表螢?zāi)缓蛯υ挿綁K，而轉(zhuǎn)換代表實(shí)際的ui事件，如選擇功能表項(xiàng)和按下按鈕。
  • We have used this simple extension for years as a way to organize use cases and tie them to the business process in fact , we like to joke that a use case diagram is just a state - transition diagram that hasn t " hatched " yet
    我們使用這個簡單的擴(kuò)展已經(jīng)多年了，將此作為組織用例并將其綁定到業(yè)務(wù)流程的方法（事實(shí)上，我們喜歡開玩笑地稱用例關(guān)系圖就是一個尚未“孵出”的狀態(tài)轉(zhuǎn)換圖） 。
  • At the same time , the formulas on reliability , mean time to failure and availability , mean time between failure etc were deduced respectively based on the distribution density function and markov state - transition diagram
    同時(shí)依據(jù)分布密度函數(shù)和馬爾可夫模型的數(shù)學(xué)理論分別推導(dǎo)了兩種系統(tǒng)的可靠度、平均故障前時(shí)間和可用度、平均故障間隔時(shí)間等指標(biāo)的計(jì)算公式，為軟件內(nèi)核程序的開發(fā)奠定了理論基礎(chǔ)。

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