有效閾能 的英文怎麼說
中文拼音 [yǒuxiàoyùnéng]
有效閾能
英文
effective threshold energy-
This paper adopts an adaptive learning algorithm based on hierarchy clustering to update user profile, which continuously abstract the cancroids of one class of optimum information from the feedback flow of system, which effectively shield the learning process from plenty of feedback noises produced by distorted threshold and sparseness of initial information, which also can imitate artificial feedback approximately to perfect the intelligence of adaptive learning mechanism
摘要本文採用一種基於層次聚類的自適應學習策略,從系統反饋的信息流中,動態提取一類最優信息的質心更新用戶模型,有效屏蔽了閾值失真和初始信息稀疏造成的大量反饋噪聲,並且能夠近似模仿人工反饋,完善自適應學習機制的智能性。Partial wavelet coefficients ca n ' t be set zero when the threshold is undersize so parts of noises are retained and some useful signals will be taked off when the threshold is iusto major so parts of useful signals are lost. these cases result in dissatisfactory denoising
如果閾值選取過小,那麼有一部分的噪聲小波系數將不能被置零,從而在去噪后的信號中保留了部分噪聲信息,使去噪的效果變差。The high - power semiconductor quantum well ( qw ) laser is a kind of luminescence device with superior performance, it has longe - lived, low threshold current density, high efficiency, high luminosity and excellent monochromatic, coherence, directionality, etc. the high - power semiconductor laser is widely applied to the fields, such as military, industrial machining, communication, information processing, medical treatment, etc. the material ' s epitaxy is the foundation of the whole laser ' s fabricating, and it has important influence on the optics and electricity performance about the laser
大功率半導體量子阱激光器是一種性能優越的發光器件,具有壽命長、閾值電流密度低、效率高、亮度高以及良好的單色性、相干性、方向性等特點,廣泛應用於軍事、工業加工、通信及信息處理、醫療保健等領域。材料的外延生長是整個激光器器件製作的基礎,對器件的光學和電學性能有著重要的影響,生長不出優質的材料體系,獲得高性能的器件就無從談起,因此,材料的外延生長便成為了整個半導體激光器製作過程之中的重中之重。The characteristic and essentiality of structural damage alarming are discussed. a method which applied two different wavelet bases to decompose and recompose measure signals is proposed to detect structural damage. by a coefficient of damage alarming which is defined as k and a threshold which is specified as u, information of emergence and damage time are obtained
探討了結構損傷預警的特點和重要性,提出了一種應用兩種小波進行分解和重構的損傷預警方法,並定義了一個多尺度信號損傷奇異點搜尋的指標_ k ,以預警指標閾值能有效識別結構是否發生損傷。The correctness is over 99 %. ( 5 ) shape features studied were aspect, first invariant central moment, elongatedness, roundness, circularity and thickness. aspect and first invariant central moment are the most effective shape features for identifying monocotyledonous weed from dicotyledonous weed, and the correctness was 93 %
( 4 )利用修正的色度公式,由判別分析法確定色度閾值,對雜草圖像進行閾值分割,能夠有效地識別植物與非植物背景,正確識別率在99以上,但色度的計算量大於過綠特徵的計算量,不利於雜草識別速度的提高。If we could make use of the technology of computer seeing and realize automatic recognition of identifying id card numbers, we should greatly improve the efficiency of id card administration. presently, most recognition systems of id card numbers are based on scanner, but this systems cannot meet the demand of long and real time catching image. this text lucubrates theoretic about image manipulation and pattern recognition and sets up a integrated regnition system of identifying id card numbers. on ccd vedic. concretery consist : ( 1 ) firstly investigating the segmentation about image of illumination asymmetry. due to a dotal lamp - house, the illumination of id card numbers image is asymmetrical
本文應用了圖像處理和模式識別技術,建立了基於攝像頭的身份證號碼的識別系統。主要研究內容具體包括如下: ( 1 )研究了亮度不均勻的身份證號碼圖像的分割。由於採用點光源進行局部照射,導致身份證號碼圖像的亮度不均勻,因此直接對圖像採用全局閾值進行分割不能有效地分離號碼體。An automated de - noising algorithm based on the energy of wavelet packet not donoho ' s threshold algorithm is established. a gear feature vibration signal extraction method using the wavelet packet energy is proposed, which can separate gear meshing vibration, noise vibration and gear fault vibration signal from the original gearbox case vibration signal. basis pursuit ( bp ) algorithm is introduced into the filed of mechanical signal de - noising and feature extraction for the first time
第三章擺脫了donoho的閾值消噪思想,從能量的角度建立了基於小波包的自動消噪演算法;提出基於小波包能量分佈的齒輪故障特徵信號提取方法,可以將齒輪嚙合振動信號、干擾振動信號以及故障沖擊振動信號從原始齒輪振動信號中分離出來;首次將基追蹤消噪演算法引入到機械故障信號的消噪與特徵提取上,通過對齒輪故障信號的消噪,表明了它的有效性,並對影響該方法實際應用效果的因素進行了全面的分析,同時也指出了該方法存在的局限性。Based on the hydrodynamic energy transport model, the influence of variation of negative junction depth caused by concave depth on the characteristics of deep - sub - micron pmosfet has been studied. the results are explained by the interior physical mechanism and compared with that caused by the source / drain depth. research results indicate that with the increase of negative junction depth ( due to the increase of groove depth ), the threshold voltage increases, the sub - threshold characteristics and the drain current driving capability degrade, and the hot carrier immunity becomes better in deep - sub - micron pmosfet. the short - channel - effect suppression and hot - carrier - effect immunity are better, while the degradation of drain current driving ability is smaller than those with the increase of depth of negative junction caused by source / drain junction shallow. so the variation of concave depth is of great advantage to improve the characteristics of grooved - gate mosfet
基於能量輸運模型對由凹槽深度改變引起的負結深的變化對深亞微米槽柵pmosfet性能的影響進行了分析,對所得結果從器件內部物理機制上進行了討論,最後與由漏源結深變化導致的負結深的改變對器件特性的影響進行了對比.研究結果表明隨著負結深(凹槽深度)的增大,槽柵器件的閾值電壓升高,亞閾斜率退化,漏極驅動能力減弱,器件短溝道效應的抑制更為有效,抗熱載流子性能的提高較大,且器件的漏極驅動能力的退化要比改變結深小.因此,改變槽深加大負結深更有利於器件性能的提高We presents a detailed studied of the linewidth of parametric light in clbo - opo caused by the linewidth of pumping beam, off axis phase matching, divergence angle of pumping, time above threshold, high gain coefficient of nlo crystal, fluctuate of cavitylength, spontaneous radiation, according to the momentum and energy conversion laws, and the sellmeier equations of the clbo, we calculated curves of the type - i and type - ii compared with the bbo ' s
根據能量動量守恆關系和clbo的色散方程,詳細分析了由於泵浦光的線寬、泵浦光偏軸泵浦、泵浦光的發散角、泵浦光功率超過參量光振蕩閾值一定倍數、高增益系數、有效腔長波動以及自發輻射引起的參量光線寬,並得到了與bbo晶體在類、類相位匹配下比較的理論曲線。Experimental result shows the algorithm has nearly the same edge preserving performance as nonlinear multiwavelet transform, and nearly the same speckle noise suppression performance as filtering
此演算法對原圖像進行多小波變換,然後在不同尺度,不同方向進行自適應閾值處理,模擬結果表明:本演算法能夠有效地抑制了斑點噪聲,又保留有用信號及邊緣信息。So how to select threshold effectively to avoid lose useful signal is problem worth to research. some research is processed here on the problems above as follow : ( 1 ). in exordium the research purpose and means is introduced
因此,在去噪的過程中如何更有效地進行閾值選取,使得噪聲被去除的同時盡可能的避免有用信號的丟失,也是一個值得研究的問題。( 3 ) when the threshold of excess green, which is generated by red, green and blue without being normalized, is set at 30, it can correctly segment plant from soil background. the correctness is over 99 %
( 3 )沒有歸一化的過綠特徵受自然環境的影響較小,當取全局閾值30時,就能夠有效識別植物與非植物背景,正確識別率在99以上。It is shown that the results calculated using the ccdwa are agreement with one of the accurate quantum mechanics employing the same potential. quantum mechanical tunneling is important in near threshold, and classical trajectory calculation is not good for prediction of the cross sections. the reaction cross sections calculated using different potentials is different, which show that the investigation of reaction cross section can provide evidence for test of accuracy of the potential energy surface
研究發現:勢能面相同時用ccdwa方法計算的截面和公認精確的量子力學結果比較符合;閾能附近的量子力學隧道效應較為顯著,準經典彈道方法不能很好的預言其截面;用不同勢能面計算的反應截面有差別,說明反應截面的研究能為檢驗勢能面的準確性提供依據。Comparing with traditional successive approximation process algorithm, our method can improve quality of reconstruction result while speeding up convergence. further, proper threshold is adopted to enhance the robustness of the histogram constraint.,
和傳統的連續近似迭代法相比,該方法在加快收斂速度同時能夠有效地改善重建質量,同時我們採用閾值對先驗直方圖的影響進行動態地控制,有效地增強了直方圖約束的抗干擾性。This method effectively shield the learning process from plenty of feedback noises produced by distorted threshold and sparseness of initial information, and also imitate artificial feedback approximately to perfect the intelligence of adaptive learning mechanism
此外,選擇聚類擇優后的一類信息參與rocchio自適應學習與更新,能夠有效地削弱閾值偏見性和偽相關反饋排序偏見性造成的負面影響。And then, the soft / hard threshold was used to shrink the wavelet coefficient of the signal and reconstruct the signal. the method can suppress pseudo - gibbs phenomena on the singularity points of signal produced by de - noise algorithm based on wavelet shrinkage
此方法對含噪信號進行循環平移,利用軟閾值或硬閾值函數對含噪信號的小波分解系數進行收縮操作,並重構信號,再進行反向的循環平移,能有效地抑制pseudo - gibbs現象。A novel energy cell based wavelet - thresholding denoising method is presented based on the " rigrsure " threshold selection scheme. the energy cell is used not only on threshold selection but also on coefficients disposing after threshold selecting. the wavelet coefficients of real signals are strengthened in the process of wavelet denoising to distinguish them from those of noise more efficiently, and, as result, the significant loss of information in the signal content is reduced
第三章以「 rigrsure 」閾值選取規則為基礎,提出了一種基於能量元的小波閾值去噪處理方法,它不僅可以在去噪的過程中將信號增強,使得在有效地去除噪聲噪聲的同時,減少有用信息的丟失,而且還可以將保留下來的小波系數還原,避免失真。Especially the gaas pcss can take on particular phenomena of nonlinear characteristics ( also known as lock - on effect or high - gain mode ) witch made it be very availability., convenience and f lexibleness
特別是在一定的觸發光能和偏置電場閾值下,光電導開關存在的非線性工作模式(或lock - on效應) ,使得pcss ' s在高壓超快功率脈沖系統中的應用更為有效、方便、靈活。For our laboratory is changing toward industrialization, a lot of work on conventional ingaas / gaas / algaas quantum well laser has been done. how the parameters, such as threshold current density, slope efficiency, fwhm and spectrum width, are influenced and how much the influence is, are discussed by the numbers. the effective means how to improve a certain performance parameter are purposed too
由於本實驗室正處于由試驗研究向產業化邁進的階段,針對常規ingaas / gaas / algaas量子阱激光器做了很多工作,文中系統論述了常規量子阱激光器的各項性能參數?閾值電流密度、斜率效率、遠場發散角、光譜線寬等的影響因素及改進的有效辦法,並針對激光器p ? i線性度不好、遠場發散角出現多瓣的現象,通過理論分析找出原因所在並進行了改進,有效解決了以上問題。( 3 ) hue can identify cattle from backgroud through ostu ' s thresholding, the correctness is over 98 %. and it ' s insensitive to earth, the illumiation intensity and shadow
( 3 )利用判別分析法確定閾值,色度能有效的識別肉牛和背景,識別正確率在98以上,且對土壤、光照強度變化、建築物陰影的敏感性小。分享友人