能辨其微 的英文怎麼說

中文拼音 [néngbānqíwéi]
能辨其微 英文
appreciate minute differences
  • 能 : 能名詞（姓氏） a surname
  • 辨 : Ⅰ動詞（辨別; 分辨; 明察） distinguish; discriminate; differentiate; recognize Ⅱ名詞（姓氏） a surname
  • 其 : 其名詞[書面語] （周年） anniversary
  1. Abstract : the light atom imaging method in high resolution transmission electron microscopy ( hrtem ) and its application in crystal structure analysis for a series of metastable oxides of copper, nickel and silver is described. the idea stemming from this method has been extended to show the possibility of observing surface structure in a series of rather thick films with the hrtem plan - view imaging mode

    文摘:介紹了利用高分辨電子顯微學進行晶體結構分析的一種方法輕原子成像法的建立過程及其在銅、鎳、銀等金屬的初期氧化（硫化）產物結構分析中的應用.介紹了利用輕原子成像法的思想解決厚膜上觀察表面結構的可能性問題的新進展
  2. It achieves the electrical measurement of no - electricity ( especially displacement ) through the variation of self - inductance of or mutual inductance of coil. inductive micrometer, with a low cost, high - resolution power, long life and high reliability, has been applied to the measurement of micro - displacement for a long time. it is common that the inductive micrometer is chosen as a preferred instrument in high - precision micro - displacement test

    電感微位移傳感器是一種建立在電磁感應基礎上，利用線圈的自感或互感系數的改變來實現非電量（主要是位移）測量的低成本、高精度測量儀，因為其分辨力高、使用壽命長、工作性能穩定，應用於微位移測量己經有很長的歷史，進行高精度微位移測量時選用電感位移傳感器已經成為一種共識。
  3. Confocal microscope ( cm ), with a higher resolution capability and 3d optical sectioning property, can implement sample detection with large scale and no damnification

    共焦顯微鏡，憑借其較高的分辨能力和三維光學層析特性，可實現樣品大范圍、無損傷探測。
  4. Because of the shortcomings of the classical rough sets model such as the sensitive to noise often encountered in many real - world applications, the dissertation presents a variable precision and md relation rough sets model from the perspective of rough membership function and micro - difference. not only can the vp - md model overcome the shortcomings of the classical model, but also is consistent with the statistics. this model can extend the application scopes of rough sets and enhance its adaptability

    本文從對象的不可分辨關系出發，討論了信息系統的經典粗糙集模型，並針對經典粗糙集模型存在的對噪音敏感等缺陷，提出了基於隸屬度和微差距離的可變精度微差關系（ vp - md ）模型，該模型不僅能夠處理含有噪音的不完全信息系統，其結果也能反映大量數據所滿足的統計規律，使粗糙集理論的應用范圍更廣、適應性更強。
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