特一時失檢 的英文怎麼說
中文拼音 [tèyīshíshījiǎn]
特一時失檢
英文
only a momentary oversight-
At that time man with great force and extraordinary talent could get promotion, thus they at once enlisted personal power, the impermissible behaviors in their youth didn ' t put obstacles in the way of promotion but expressed his heroic quality during the war time
這一時代有卓異武功及特殊才能的人得到格外重視，豪強們紛紛網羅個人勢力，即使這些人年少時曾有失檢越軌行為，然而非但不構成其得到提拔重用的障礙，反倒恰恰說明他具有出相入將、沙場建勛的英雄氣質。Technological innovation is the development of enterprises in the last word, i have always maintained the secretary rise in special wallssevered the forefront of the core system, in 2000, the high - intensity of my invention cesium potassium glass chip. test success has been on the market seven years, 2007 to special ( fire ) glass wallsindoor fire glass partition, fire glass window design, construction and 10 years of deep - processing glass curtain wall designconstruction and constantly sum up experience and experiment, glass walls severed system to fire. high temperature must be within the framework of anti - bomb material support fixed glass in the event of fire. at the time of the explosion have enough time to ensure the integrity of the entire system. bullet - proof glass or glass does not fire in a short period of time due to damage fixed framework, a glass panel fell off, lost the fire or bomb - functional
企業不斷的技術創新是我們發展的硬道理，也是我司一直保持林立於特種幕墻、隔斷系統前沿的核心， 2000年，我司發明的高強度單片銫鉀防火玻璃，經試驗檢測成功推向市場以來已有7個年頭，七年來特種（防火）玻璃幕墻、室內防火玻璃隔斷、防火玻璃門窗的設計、施工及十多年來的玻璃深加工，幕墻設計、施工及不斷的經驗總結和試驗，玻璃幕墻、隔斷系統要防火、防炸彈沖擊波必須要有耐高溫高強度的框架材料固定支撐玻璃，在一旦發生火災、爆炸的時候要有足夠的時間保證整個系統的完整性，不至於防火玻璃或防炸彈玻璃在短時間內由於固定框架破壞，而玻璃脫落，失去了防火或防炸彈的功能。Measurement and characterization of surface texture is an important aspect of precision metrology. historically this has involved partitioning a profile into different wavelength regimes referred to as roughness, waviness and form followed by numerical quantization. parameters computed are then inspected for tolerance compliance to ensure a part performs its intended function. this approach is satisfactory when the specification has been carefully determined and the process is stable. however, when the manufacturing process is under development or when instability or modifications to the process invalidate specifications, there is a need to study surface finish parameters in relation to functional performance or process measures. in this context, the problem of surface texture classification and recognition are discussed. advanced techniques developed for this purpose along with applications are presented. also, the techniques discussed here will be useful across large bandwidth, from the characterization of nano scale to traditional micro scale surfaces
表面結構的測量與特徵描述是精密計量技術的一個重要方面，傳統上包括將輪廓情況根據不同的波長范圍劃分為粗糙度、波紋度和形狀及后續的數字量化.按算得的參數檢查它是否為公差允許，以保證零件執行其指定的功能.當技術特性已經經過仔細確定，並且其過程穩定時，該方法是令人滿意的;但是，當製造過程正在進行中或過程的不穩定、過程變化使技術特性失效時，就需要研究和功能表現及過程評定相關的表面參數.討論了表面結構的分類與識別問題.同時闡述了為此目的而開發的先進技術及其應用.所研究的技術對從納米尺度到傳統的微米尺度的較大帶寬范圍內的表面特徵描述都是有效的Then, based on the summarization and evaluation of the fruits and shortage other scholars made, this paper brings forward the research hypotheses. on the base of fully understanding of various research models of value relevance, this paper chooses the feltham - ohlson model and the balance sheet model as the basic mod els and adjusts the two models to test the value relevance of accounting data of listed a share corporations in china. the research result shows : ( 1 ) in the period from 1996 to 2001 the value relevance of accounting information in china is falling with the implementation and changing of every financial accounting standard ; ( 2 ) when testing listed corporations suffering loss the feltham - ohlson model is invalid ; ( 3 ) compared with 2000, the accounting data of 2001 is n ' t more conservative but more aggressive ; and ( 4 ) this paper ca n ' t judge whether the book value of corporation assets after computing the asset reduction required by " accounting regulation of corporations " is closer to that before computing, and it needs further researching
在對各種價值相關研究模型充分理解的基礎上，本文有針對性地選擇feltham - ohlson模型和資產負債表模型作為研究的基本模型，並根據所研究的具體問題對模型進行了修正，用以檢驗我國a股上市公司會計數據的價值相關性，研究結論如下： 1 、 1996 2001年我國會計信息的價值相關性沒有隨各項具體會計準則的頒布和變更逐年提高，反而逐年降低； 2 、 feltham - ohlson模型在檢驗虧損上市公司時失效，這可能是我國資本市場中特有因素造成的； 3 、與2000年相比， 2001年會計數據不但沒有更謹慎，反而更「激進」 ； 4 、本文檢驗結果無法判斷計提《企業會計制度》新要求的四項資產減值準備后計算出的企業資產帳面價值是否比未計提資產減值準備計算出的資產帳面價值更接近企業真實的經濟價值，有待今後做進一步的研究。Because the method uses the linear measurable function of bearings varying with time, so it is more effective than the normal method which based on bearings of the target directly, and at the same time it can overcome the limits when use the normal method in special situation
由於該方法將目標方位隨時間變化的非線性關系轉換到另一空間的線性關系，這使得檢測更加有效、直觀，並且能夠克服直接採用方位序列檢測目標轉向機動在特殊情況下失效的限制。The contributions of this dissertation is listed below. aiming at existing defects of traditional beeline detection by hough transformation ( ht ) arithmetic, such as large storage space consuming, imprecise beeline detection effect and information loss of image feature pixels etc, we suggest two new beeline detection methods. ( 1 ) based on infinite symmetry exponential filter and its recursion arithmetic, new beeline detection methods can get exact direction of image edge pixels in advance, so it reduces highly the calculation quantity of the conventional ht, and improves the speed and the precision of beeline detection greatly
本論文的主要研究成果列舉如下：針對傳統直線檢測霍夫變換（ houghtransform ， ht ）所存在的參數空間存儲量大，直線檢測不精確以及圖像特徵點信息丟失等缺點，提出兩種新的直線段檢測演算法： （ 1 ）提出一種基於無限對稱指數濾波的ht直線段檢測演算法，在進行邊緣檢測的同時，提前精確定位邊緣點的方向，減少了ht的運算量，提高了運算速度和檢測精度，而且整體演算法便於硬體的并行執行，使得實時處理成為可能。Edge detection and contour tracking are very important in computer vision. because the single pixel edges are needed in computer vision, an algorithm of edge detection and contour tracking is proposed using the good local character and multi - scale character of wavelet transform in the dissertation. the fuzzy algorithm is applied to pick the model maximum points, so that the single pixel edge can be obtained
邊緣檢測和輪廓跟蹤在計算機視覺中有著重要的地位，利用小波變換良好的時頻域局部化特性和多尺度特性，針對計算機視覺中需要提取單像素的點線等邊緣的需求，本文提出了一種基於小波變換的邊緣檢測和輪廓跟蹤演算法，通過真正的邊緣點是模的局部極值點這一特點，應用模糊演算法對模極大值點進一步篩選得到單像素級的邊緣，並在邊緣跟蹤時，有效利用原圖像的信息，通過在小鄰域內尋找局部峰值對丟失弱邊緣進行了補償。分享友人