蠕變常數 的英文怎麼說
中文拼音 [rúbiànchángshǔ]-
The following items and data analysis are measured on the second stage surgery : ( 1 ) the area of the expanded skin. ( 2 ) comparison with the rapid and the conventional expansion. ( 3 ) tension of skin in vivo
在二期手術時進行如下的實驗檢測和數據分析： （ 1 ）測量擴張皮膚的面積（ 2 ）常規擴張和快速擴張（ 3 ）在體皮膚的張力（ 4 ）皮膚的即時回縮率（ 5 ）組織學檢查（ 6 ）皮膚的膠原含量（ 7 ）皮膚的生物力學特性，包括強度、應力應變關系、應力鬆弛、蠕變。Using biomechanics methods, through the study of the influence of different injection and maintain period on the expansion efficacy and shrinkage rate of skin, a rapid expansion method with relatively big expansion area is proposed ; biomechanics analysis in vivo is been made on the expanded skin ; comparing the biomechanics property in vitro of the rapid expansion and conventional expansion with different maintaining times, the parameters such as strength, stress - strain relationship, stress relaxation and creep which reflect the characteristic of the expanded skin have been obtained ; making the research of the expanded skin ' s biomechanics changes at different stage after grafting, the long - term and short term diversified regular has been obtained ; making experimental study and discussing the changes in the microcirculation and vessel structure of exceedingly expanded shin, the relationship between survival length of flap and the changes has been gotten
本課題旨在用生物力學的方法通過動物實驗來研究不同注水擴張期和維持擴張期對皮膚擴張量和皮膚回縮的影響，探討有效獲取較大的擴張皮膚面積的快速擴張方法；對擴張皮膚進行在體生物力學特性分析；比較了快速擴張和常規擴張在不同維持期的皮膚離體生物力學特性，得到離體生物力學各參數，如強度、應力?應變、應力鬆弛、蠕變等；為全面了解擴張皮膚在移植后的近期和遠期的變化規律，做了擴張皮膚移植后不同階段的生物力學變化的實驗研究；探討了不同擴張量時皮膚的微循環變化和血管結構變化與皮瓣存活的關系。In this paper, by studying the feature of the netflow data and the mib status of the network equipments, at the same time, in terms of analyzing the characteristics of network attack, worm spread, virus infection and network misuse behaviors, our work is based on the facts that most of the anomaly traffic in campus network has influences of the netflow data and network equipment status. an approach is present to assess the threats of the traffic in terms of five factors : the traffic bytes distribution, flow number distribution, packets number distribution, equipment cpu utilization and the memory utilization. the weight of each factor is computed and determined by fuzzy relation matrix 。 an prototype system is designed to test the method and the results are analyzed to evaluate the availability of our method
本文研究了netflow流數據的特徵和網路設備運行狀態數據，分析了校園網網路異常攻擊、蠕蟲病毒和網路濫用行為的特點，基於大多數的網路流異常必然反映在網路網路流量數據特徵的變化以及網路設備運行狀態的改變這樣一個事實，提出了一套基於網路流量和網路設備運行狀態的異常威脅評估方法，確定了5種威脅評估因素:網路流帶寬分佈、網路流數量分佈、網路流包數量分佈、網路設備cpu利用率、網路設備內存利用率，並採用模糊關系矩陣方法計算和分配這5種評估因素在評估函數中的權重。
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