融化壓縮系數 的英文怎麼說
中文拼音 [rónghuàyāsuōxìshǔ]
融化壓縮系數
英文
coefficient of thaw compression-
Two test methods are employed : one is loading the samples before thawing, and the other is loading the samples after completely thawed. the coefficient of thaw settlement as a function of granule, as a function of water, and also as a function of dry density are protracted ; besides, the consolidation coefficient of thawed samples as a function of granule, as a function of water, and as a function of dry density are protracted. we can discover from the test results that the thaw - settlement coefficient and the consolidation coefficient of thawed samples are mainly relevant to the granule, dry density and the water content they have little to do with the geology and geography factor of the frozen soils
為了研究季節凍土區工業民用建築的基礎淺埋穩定性問題，特開展了有關季節凍土的融化壓縮特性的研究，先後在內蒙古農業大學三個比較典型的建築地點取了將近三百個試樣，在室內進行試驗，採取兩種試驗方法即先融化后壓縮試驗法和同時融化壓縮試驗法，通過對這三個不同地點的兩種不同的試驗方法的試驗結果進行對比分行，分別繪制了融沉系數與凍土的含水（冰）量、干容重以及顆粒級配的關系曲線;融化壓縮系數與凍土的含水（冰）量、干容重以及顆粒級配的關系曲線，由試驗結果發現凍土的融沉系數和融化壓縮系數都與凍土的含水量呈正向相關關系，可近似的用線性方程來表示;兩種實驗方法的總沉降量與凍土的含水量呈正向相關關系，與凍土的干容重呈反向相關關系，也可以近似的用線性方程來表示。Based on the analysis of image wavelet transformation and the space / frequency distributing characteristics of different subbands " coefficients, this dissertation fully exploits the following theories and methods : scalar quantization, vector quantization, trellis coded quantization, trellis coded vector quantization, vector classification, codebook expansion and weighted mean square error rule basing mankind visual characteristics, etc. from different angles of information amalgamation, it develops several innovative algorithms of image compression and coding, gives their realization schemes, and makes plentiful simulation tests
本文在分析了圖像小波變換的原理和子帶系數空間及頻率分佈特點的基礎上，充分利用標量量化、矢量量化、網格編碼量化、網格編碼矢量量化、矢量分類、碼書擴展和基於人眼視覺特性的加權均方誤差準則等思想和方法，從信息融合的不同角度展開了對小波圖像的壓縮編碼研究，同時也討論了這些方法在靜止圖像量化中的具體應用。However, some of face recognition problems still require further development, this is the case for problems of recognition face images conveying changes in illumination, facial expression and changes due to the time delay between the acquistion of the reference and tested face images. our main work is to analysis methods of extraction face features and contraction of classifier. the work presented in this paper is to apply self - organizing feature map and minor component to extraction features from multi - view face images, then combine those features as a new combined feature set, in order to reduce redundancy data, we apply clone algorithms to reduce data through rotation in input space
我們改進了一種基於矩理論的識別方法，給出了計算公式和證明過程，可用於解決小規模人臉識別問題；我們將智能方法應用到人臉識別中，分別利用自組織特徵映射和次分量方法抽取人臉的整體特徵和局部特徵，依據特徵融合理論，重新組合為新的復合特徵，為壓縮特徵數據，我們首次引入克隆選擇演算法自動進行特徵優化選擇，最後，利用支持矢量機構造多分類器進行分類識別，在不同規模人臉識別庫上模擬結果表明，該系統自適應能力強，分類識別精度高，適用於大規模復雜人臉識別問題。
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