量子標度演化 的英文怎麼說

中文拼音 [liángzibiāodùyǎnhuà]
量子標度演化 英文
quantum scaling evolution
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 子 : 子Ⅰ名詞1 （兒子） son 2 （人的通稱） person 3 （古代特指有學問的男人） ancient title of respect f...
  • 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 量子 : quantum; gion
  • 演化 : evolution
  1. And understanding and studying the spectral features and variation rules of geo - targets in the experimental area, raising that it is the basis of geo - targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo - targets, realizing that in a great extent spectral - integrated - form - based classification method can remove the phenomenon of " different spectrum with same objects " resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo - target with similar spectral forms and much different values of whole reflection ratio. it is suggested that " red edge " range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel - based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. the remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed

    研究結果如下：首先針對荒漠化地區的地物特徵，對高光譜數據不同波段的數據質量、波段組合進行了評價，提出了適用於荒漠化監測的基本波段選擇集；初步了解和掌握了研究地區的地物光譜特性及變異規律，進一步明確了掌握地物光譜特徵和變異規律是用成像光譜儀數據提取地物信息的基礎；發現了基於光譜整體形狀的分類方法在很大程度上能夠消除由於傳感器、地物目標觀測方向之間的角度變化引起的反射率曲線整體平移的「同物異譜」現象，對于譜形相似而整體反射率的值相差較大的兩類地物，通過引入均值和方差圖像參與分類得到解決；研究還表明在植被「紅邊」范圍內的波段是進行荒漠化監測的主要特徵波段，這些波段與植被生物量和蓋度都有密切的關系，是開展精細植被分類研究和植被定量反演的重要基礎；像元的導數光譜分析可以消除土壤背景的影響，是進行植被生物量和蓋度定量反演的有力工具；建立了荒漠化監測主要評價因子的定量反演模型，並分析了模型的適用性。
  2. Also, the author ’ s design strategy and creativity has been given in this paper. specifically, it includes : based on the feasibility analysis of the fit selection of control parameters in the aeration process, the aeration process of wastewater treatment of the joint - constructional complete - mixed activated sludge process has been aimed at in this paper. then, the state equations of the aeration process have been proposed in this paper, which is on the base of dissolved oxygen concentration ( do ) and discharge quantity of sludge ( qw ) as control variables, the concentration of bod and sludge as state variables. based on the present study on optimization control of wastewater treatment, the multivariable optimal control model with restriction factor has been presented in the paper with introducing modern control theory and system analysis into the field of activated sludge wastewater treatment,

    具體包括:以完全混合、表面曝氣合建式活性污泥工藝的污水處理曝氣過程為研究對象，在闡述了曝氣過程式控制制參數選取可行性的基礎上，建立了以溶解氧濃度do和活性污泥排放量qw為控制變量，以曝氣池中有機物濃度s和微生物濃度x為狀態變量的活性污泥曝氣過程的基本狀態方程;運用現代控制理論的觀點和污水處理理論，在現有關于污水處理最優控制問題研究的基礎上，建立了有約束條件多變量能耗最小數學模型，該數學模型是以有機物排放總量和狀態變量的末值條件作為約束條件，曝氣過程的能耗最小作為目標泛函;採用增廣拉格朗日乘子法對最優控制問題進行轉化，並對應用極大值原理求解能耗最小這一最優控制問題進行了詳細的解析;引入約束運算元，應用具有控制約束的共軛梯度演算法對能耗最小這一最優控制問題進行求解，並進行模擬實驗驗證。
  3. Among the adaptive beam - forming algorithms, the least mean square algorithm is widely used because it has a simple configuration and it is apt to come true and have nice convergence. on the other hand, it has a disadvantage that it converges slowly and there is a conflict between the fixed step and the convergence pace or the error in stabilization. so people have developed many improved least mean square algorithms which generally start from convergence, stabilization, misadjustment, and robustness and come to a formula about variational step in the end

    在自適應波束形成演算法中，最小均方（ lms ）演算法因結構簡單，易於實現，能穩定收斂而得到廣泛應用，但它也存在收斂速度受限的缺點：固定步長因子無法解決收斂速度和穩態誤差之間的矛盾。因此，人們提出了各種改進的最小均法演算法來解決這一問題。改進的最小均方演算法通常從如何改進收斂速度、穩態誤差、失調量和魯棒性等指標上出發，最後在新演算法最終表達式中的步長公式上變化。
  4. A modified genetic algorithm ( mga ) framework was developed and applied to the flowshop sequencing problems with objective of minimizing mean total flowtime. to improve the general genetic algorithm routine, two operations were introduced into the framework. firstly, the worst points were filtered off in each generation and replaced with the best individuals found in previous generations ; secondly, the most promising individual was selectively cultivating if a certain number of recent generations have not been improved yet. under conditions of flowshop machine, the initial population generation and crossover function can also be improved when the mga framework is implemented. computational experiments with random samples show that the mga is superior to general genetic algorithm in performance and comparable to special - purpose heuristic algorithms. the mga framework can also be easily extended to other optimizations even though it will be implemented differently in detail

    提出了一個改進遺傳演算法的結構，並且應用於帶有目標是最小平均總流程時間的流水調度排序中.為了改進一般遺傳演算法的程序，兩個新的操作被引進到這個操作中.這兩個操作為： 1 ）過濾操作：過濾掉在每一代中的最壞的個體，用前一代中的最好的個體替代它； 2 ）培育操作：當在一定代數內演算法不改進時，選擇一個培育操作用於培育最有希望的個體.通過大量的隨機產生的問題的例子的計算機實驗顯示出，提出的演算法的性能明顯好於一般遺傳演算法，並且和此問題的最好的專門意義的啟發式演算法相匹配.新的mga框架很容易擴展到其它最優化當中，只是實施的詳細的步驟有所不同
  5. Abstract : in this paper, we propose an improved lagrangian relaxation algorithm to solve job - shop scheduling problems. besides the addition of augmented objective, we expand the search scope of near - optimal solutions and improve the computational efficiency greatly by restricting the solution scope of sub - problems and modifying the search method of dual problem. at the same time, we develop a genetic algorithm combining with the lr ( lagrangian relaxation ) method. using the numerous useful solutions we get in the lagrangian relaxation as the original genes, we can improve the solution further. test results show that these methods achieve satisfied outcome for job - shop problems. they can also be applyed to other programming problems with constraints

    文摘:針對車間調度問題，提出了一種改進的拉氏鬆弛演算法.在增加輔助目標函數的基礎上，通過對子問題的限制和搜索策略的改變，使拉氏演算法的計算量減少，近優解的搜索能力有很大改善.本文還提出了一種基因優化演算法，充分利用拉氏演算法得到的多個近優解，進一步優化結果.模擬結果表明對車間調度問題得到了較好的結果.本方法也可用於其它有約束的規劃問題
  6. In order to improve the agility of integration system, this paper analysis the fault effect of heterogeneous data flow in the integration system ; design the integration mode of agile system ; the evaluation is done base on the integration mode ; the gateway system technology is proposed to integrate the heterogeneous system ; also this paper carries out the concept of gateway system, the topology of gateway system, the data filter protocol in the gateway system, the data filter protocol algorithm, the data flux in the gateway system and the work capability of gateway system.

    本文以提高系統敏捷性為目標，在大規模、復雜、動態進化系統環境下，考慮了大量需要交互的數據的異構性對敏捷系統性能造成的不良影響，設計了敏捷系統集成模型，並且對這個模型作了評價。在集成異構系統時採用的關鍵技術是網關系統技術，本文詳細討論了網關系統的概念，網關系統的網路拓撲結構，數據過濾協議，數據過濾演算法，網關系統中網關節點中的數據流量及網關系統的工作能力，有利於保證集成子系統服務質量的要求，在一定程度上解決了上述單節點網關存在的缺點。
  7. In upper level optimization, the thickness and geometry factors of composite skins and webs as well as other structural dimensions are taken as design variables. then, considering the behavior constraints and the side constraints, the structural mass is minimized by the mathematical programming technique. in lower level optimization, the mathematical programming technique or the genetic algorithm ( ga ) is used to search the practical stacking sequence of composite skins and webs to realize the given thickness and geometry factors from upper level optimization

    底層優化設西北工業大學博士學位論文計以復合材料蒙皮和腹板等層合板各分層的厚度（或鋪層數） 、鋪層角和鋪層順序為設計變量，以層合板的幾何因子與頂層優化設計給出的最優幾何因子之間的誤差最小為目標，考慮層合板厚度和製造工藝性約束，採用數學規劃方法或遺傳演算法（ geneticalgorithm ，簡稱ga ）求出底層最優設計變量。
  8. This paper presents an algorithm of moving region detection based on chroma, which is able to cope with varying illumination and shadow problems, and refines the detection results with morphology, by marking each moving region in the binary image, the geometrical features parameters such as area, perimeter and form factor can be extracted, which lay the foundation for the analysis and track of moving target

    摘要提出了一種基於色度的運動區域檢測演算法，利用像素的色度分量進行檢測，克服了亮度變化和陰影的影響，並利用形態學方法對檢測結果進行后處理，對處理后的運動區域進行標記，提取每個區域的面積、周長、形狀因子等幾何特徵參數，為運動目標後期的分析和跟蹤奠定了基礎。
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