very large dimension 中文意思是什麼
very large dimension
解釋
超大型維度-
Because the well reservation of the advantages of traditional large sacle advertising airboat, thoughtful design and argumentation on every level has been made, the dimension of the airboat reduced to 9 - 16 meters, adaptable area remarkably increased, flying agility obviously improved, a place as large as a playground is enough for it s taking off or landing, a space as size as a bus warehouse is sufficient to store the airboat, the advertising area of the airboat on it s two sides become less to 9 - 12 square meters, the altitude where such airboat can fly is much lower than that that drives person, presenting a little difference in views of the people on the ground, so capable to take the place of human - driving airboat, on the other hand when the size reduced, the operation, use, freight and maintenance become very easy, easy operation become it s first advantage : remote controllable, no professional driver needed, common personal can operate it after a short trainning, trainning time ranges from 3 - 5 days single, 15 - 30 days for people
是因為它完美的保留和發展了大型載人廣告飛艇的優勢，為此我們進行了方方面面且深入細致的設計和論證，首先縮小了飛艇的尺寸， 9至16米長，大大的增加了飛艇的適用范圍，使飛行的靈活性得到了改善，學校操場大小的地方就可從容的起飛降落，大客車或大貨車的車庫便能存放，廣告面積雖然也小了，每單側9至12平米，可遙控飛艇的飛行高度也比載人艇的飛行高度低很多，以地面的視覺效果來看效果相差非常小，足以代替載人艇，其次是飛艇縮小后，整艇的操作使用運輸維護也都大大的簡化了，操作簡便是它的第一大優點：由於是遙控飛艇，就不需要專業的駕駛員來操作，普通人經過短期的技術培訓就可勝任，培訓期每單人為三至五天，多人視人數十五至三十天。 -
In order to study how the floor stiffnesses influence on the mega steel - frame structures, the results of mode 1 and mode 4 of example 1, and those of mode 2 and mode 3 of three examples are compared. some conclusions are obtained as follows : compared with beams and columns of the common steel - frame structures, the cross - sectional dimension of mega beams and mega columns in the main - frames of mega steel - frame structures are very large. because the mega structure system has great lateral stiffness and entirety work behavior, whether or not considering the floor stiffness has less influence on the entirety responses of the mega steel - frame structures and on the displacement and internal forces of columns of the mainframe, but larger influence on the response of columns of hypo - frame
通過對算例1方案1和方案4及算例1 - 3方案2和方案3結構周期、位移和內力反應的比較，研究了樓板剛度對巨型鋼框架結構反應的影響，得到如下結論：與普通鋼框架的梁、柱相比，巨型鋼框架中主框架的巨型梁、巨型柱截面尺寸要大得多，並且由它們組成的這種超常規的大型結構具有巨大的抗側剛度和整體工作性能，因此，在地震作用下，考慮樓板剛度與否對巨型鋼框架結構整體反應影響不大，對主框架柱位移和內力反應影響也不大，但對次框架位移和內力反應的影響相對較大。 -
Very large dimension
超大型維度 -
The screw propeller which is used by ships abroad is one typical application of ejecting mode because it is easy to manufacture and install and is reliable. but it has many shortcomings such as inefficiency, large dimension and heavy weight. therefore, it is very difficult to apply the screw propeller to micro mobile robot in liquid
螺旋漿推進器既具有容易加工、可靠性高和安裝簡便等優點，也具有能源效率低，結構尺寸和重量大，對環境擾動大，噪音大，起動、加速性能差以及運動靈活性能差等缺點，因此在把螺旋槳推進方式應用到微機器人上時存在許多困難，有必要研究採用其它推進方式的在液體中運動的微機器人。 -
Then for the computing time of the traditional pca - based face recognition algorithm is very large, we use wavelet transform to reduce the dimension of images, and decrease computation complex
針對傳統pca （主分量分析）方法運算量大的特點，本文通過小波變換對輸入圖像進行降維處理，降低了后續演算法的復雜度。 -
Because the data and graph are kept respectively, it is very difficult to find the geometric topology and dimension - restrain information between the components. then, the direct result is that even a specific modification would lead to a large - scale change
由於圖形與數據被分割保存，在修改時構件間的約束關系無法找尋；所以即使是細微的修改也會導致大規模的改動。 -
The dimension of the very large floating structures ( vlfs ) is usually more than 1km. the design of such giant structures must consider the spatial coherence of waves. crest length is one of the main parameters in wave coherence
超大型海上浮體結構（ vlfs ）的尺寸通常以千米計，對于如此尺度的結構，作為主要環境因素的海浪必須考慮其在空間上的不均勻性。 -
This paper introduces the development of data mining and the concepts and techniques about clustering will be discussed, and also mainly discusses the algorithm of cluster based on grid - density, then the algorithm will be applied to the system of insurance ? among the various algorithms of cluster put forward, they are usually based on the concepts of distance cluster o whether it is in the sense of traditional eculid distance such as " k - means " or others o these algorithms are usually inefficient when dealing with large data sets and data sets of high dimension and different kinds of attribute o further more, the number of clusters they can find usually depends on users " input 0 but this task is often a very tough one for the user0 at the same time, different inputs will have great effect on the veracity of the cluster ' s result 0 in this paper the algorithm of cluster based on grid - density will be discussed o it gives up the concepts of distance <, it can automatically find out all clusters in that subspaceo at the same time, it performs well when dealing with high dimensional data and has good scalability when the size of the data sets increases o
在以往提出的聚類演算法中，一般都是基於「距離（ distance ） 」聚類的概念。無論是傳統的歐氏幾何距離（ k - means ）演算法，還是其它意義上的距離演算法，這類演算法的缺點在於處理大數據集、高維數據集和不同類型屬性時往往不能奏效，而且，發現的聚類個數常常依賴于用戶指定的參數，但是，這往往對用戶來說是很難的，同時，不同參數往往會影響聚類結果的準確性。在本文里要討論的基於網格密度的聚類演算法，它拋棄了距離的概念，它的優點在於能夠自動發現存在聚類的最高維子空間；同時具有很好的處理高維數據和大數據集的數據表格的能力。 -
Based on interval the computation cost of interval newton algorithm is larger than the general newton iteration method. the computation time of interval newton algorithm tends to grow exponentially with the dimension. even for small problems, interval newton algorithm often requires enormous computation time if the nonlinearity of the problem is very large or the problem is ill - conditioned
但是由於區間牛頓法是以區間為迭代單位，其計算量遠大於一般的牛頓類迭代法，其計算時間隨著方程組維數n的增加而呈指數增長；而且即使在維數n很小時，若方程組的非線性程度很強或方程組為病態，所需的計算時間也很大。
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