識字測驗 的英文怎麼說

中文拼音 [zhìzìcèyàn]
識字測驗 英文
literacy test
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 字 : Ⅰ名詞1 （文字） character; word 2 （字音） pronunciation 3 （字體） form of a written or printed ...
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 驗 : 動詞1. （察看; 查考） examine; check; test 2. （產生預期的效果） prove effective; produce the expected result
  • 識字 : learn to read; become literate識字班 literacy class; 識字教學 teaching of literacy; teaching and ...
  • 測驗 : test; trial run; examination; testing
  1. Structural matching is a main approach for on - line chinese character recognition. in order to reduce its great computational comple xity and improve its performance, people have been seeking for a way to guide the whole matching by the result of partial matching. in this paper, the authors prop osed 45 basic components from 3, 755 categories of the daily - used chinese charac ters to guide the stroke segment matching. because they always locate at either the beginning or the end of the stroke segment string, these components are easy to extract and separate from other parts of the character. besides, the reference templates of these components are dynamically extracted from the reference segmen tstring and dependent on the current matched character so that a more accurate matching is carried out. experiments show that the segment matching computation h as reduced almost 50 %. the approach is also enlightening for other similar object matching problem

    結構匹配是一種有效的聯機手寫漢寫識別方法，為了減少匹配運算，人們一直在尋求利用部分匹配的結果來引導整體匹配的方法.在特徵匹配與結構匹配綜合的基礎上，從3 . 755個一級國標漢字中提取出45個子結構，利用它們來引導結構匹配.由於這些子結構總出現在字首或字尾，因而對它們的檢測比較容易.同時，通過建立子結構活動模板及設計子結構動態抽取演算法，使得子結構匹配的準確度得到很大提高.實驗結構表明，該方法使結構匹配的運算量減少約50 % ，並對類似的物體識別問題有一定的啟發意義
  2. We have successfully designed an experiment system for the no invasion blood pressure measurement with our own ip. in our research and develop task we have done a lot work to study foreign instrumen and design ideas. this experiment system is based on msp430 series mpu with excellent erformance and applies advanced digital signal process and intelligent technology. in hardware design, the following means were applied : after a lot of experment and fully knowing about the characteristic of the pulse wave signal, we have designed the accurate and credible circuit to collect the pulse wave signal ; power circuit, communicaion circuit, power drivers circuit have been disigned for the instrument. in software design, the following arithmetic were applied : 1

    軟體方面進行了以下演算法研究: 1 .綜合試驗各種數字信號處理方法對波形進行平滑處理: 2 .採用lms自適應方法對脈搏波信號進行了降噪處理; 3 .應用微分閉值法提高了脈搏波信號的檢出率，有效識別了運動干擾引起的偽波信號; 4 .利用測振法基本原理並進行大量實驗的基礎上，提出了比較準確可行的收縮壓和舒張壓的識別演算法，使測振法在本無創血壓儀中得到了完整而充分的應用。
  3. The results indicates that the cubic logarithm polynomials can accurately reconstruct the raw thermal images in the experiment, and can effectively suppress the interference to defect recognition caused by random noise and uneven heating in the pt testing of composite laminates ; the digital images from data reconstruction have clearer defect display or higher defect resolution than the raw thermal images, and the quadratic coefficient image of cubic logarithm regression shows the highest snr

    結果表明利用三次對數多項式回歸即可精確地重建本次實驗的原始熱像，同時能有效地克服復合材料層壓板脈沖熱像檢測中隨機噪聲和加熱不均效應對缺陷識別的干擾；經過數據重建后所作的數字圖像比原始熱像有更高的缺陷顯示度或分辨力，其中以三次對數多項式回歸公式中的二次項系數所作的數字圖像的信噪比最大。
  4. The paper introduces a measurement method of two - phase flow parameters based on digital image processing techniques through processing image of an experiment study of the transient drag property on the high - temperature particles falling into the cold liquid pool

    文章以處理高溫顆粒沉降冷池實驗圖像為例，介紹基於數字圖像識別技術的氣液兩相流參數檢測方法。
  5. The analysis of the relative importance of components of mfcc for both speech recognition and speaker recognition using dtw recognizer in various noise environments are given. for english digit and under the euclidean distance definition, the experiment results show cepstral components from

    採用增減特徵分量的方法研究了mfcc各維倒譜分量對說話人識別和語音識別的貢獻。使用dtw測度，在標準英文數字語音庫上的實驗表明，最有用的語音信息包含在mfcc分量
  6. The main work of the thesis is as follows : we design a novel omni - mirror more applicable in robocup, which is made up of an isomeric horizontal mirror and an isomeric vertical mirror and can make the resolution of the imaging of the objects near the robot on the field constant and make the distortion of the imaging of the objects far from the robot small in vertical direction ; we select a 1394 digital color camera and complete the development of its software program for data acquisition ; we design a image processing algorithm for the panoramic image, which can segment the image by color, extract the features of image fast and effectively and complete the recognization of target ; according the character of the imaging, we design a new fast hough transform algorithm for line detection, which can detect the white mark lines of the field realtimely, and then design a robot ’ s self - localization method based the mark lines, which only uses the information of omni - vision system ; finally we design a monte carlo localization method based on the information of omni - vision system and odometry, and present the localization results of two localization methods and analyze the experiment results and get the conclusions

    本論文的主要工作如下:設計了一種新的更適用於機器人足球賽的全向反射鏡面，該鏡面由水平等比鏡面和垂直等比鏡面組合而成，能夠使機器人近處一定范圍內水平場地上的物體成像解析度不變，遠處物體成像高度上變形較小;選擇了一款基於1394介面的數字攝像機，並完成其數據採集程序開發;針對全景圖像設計了圖像處理演算法，能夠快速有效的實現圖像顏色分割和圖像特徵提取，完成目標識別;根據全景圖像的成像特性，設計了一種新的用於直線檢測的快速hough變換演算法，能夠實時的提取出場地的白色標志線，並在此基礎上設計了完全利用全向視覺信息的基於標志線的機器人自定位方法;最後設計了一種基於全向視覺信息和里程計信息的montecarlo定位方法，給出兩種方法的定位結果，並分析實驗結果，給出結論。
  7. Three experiments were conducted to assess effects of level - of - processing and self - generation on conscious and unconscious components of memory within an implicit test of word - stem completion

    摘要三個實驗評?處理層次與自我衍生對隱示字干測驗里意識與無意識記憶的作用。
  8. The author has collected abundant feature data in this field, applied routine analysis monitoring - based, spectrometric analysis - centered and ferro graphic analysis and particulate counting - validated oil monitoring technology, extracted images and numeric feature information produced by all components as friction ones in marine diesel power equipment. and under the theory guidance of fuzzy and neural network, synthesized the feature data and other interrelated qualitative and / or quantitative feature information of lubricant in diesel engine power equipment from the perspective of lubricant ' s routine analysis spectrometric analysis, ferro graphic analysis, particulate counting technology and so on., to establish an original regulating mathematic model capable of power equipment ' s conditions, diagnosing its failure, maintaining and supervising

    本文綜合應用以常規理化檢驗為基礎、以油料光譜分析為核心，以鐵譜分析和顆粒計數為驗證的油液檢測技術，採集船舶柴油機動力裝置典型數據和相關信息，提取船舶柴油機動力裝置潤滑油中涉及的各種數字、圖像與知識類特徵信息的基礎上，應用模糊理論和神經網路理論，對船舶柴油機動力裝置潤滑油的常規理化分析、光譜分析、鐵譜分析、顆粒計數分析等技術手段獲得的特徵數據，以及其他相關定性定量特徵信息進行信息融合，建立了船舶柴油機動力裝置狀態評價、故障診斷、維修管理原始規則的數學模型。
  9. It analyzes the dynamic response of many different damage cases of simple i - shape beam structure and discusses their influences to natural frequency and modal curvature. it is found that the natural frequency and modal curvature can be used in identifying the severity and location of structural damage respectively. dynamic response of some real beams are measured and compared to the results analyzed by computer, it is found that there are some differences between them and the main reason is the error caused by modeling

    2 .針對土木結構中最為常見的梁式結構，對簡支工字鋼梁的多種不同損傷工況的動力特性進行了有限元模擬分析，研究了損傷對頻率和模態曲率的影響，發現固有頻率變化率和模態曲率的變化分別可以用於損傷程度和損傷位置的識別;在實驗室中實測了幾種工況的鋼梁的振動模態，發現實測結果與計算結果有一定的差異，分析其原因主要是模型誤差和噪聲影響。
  10. In order to further video analysis, an algorithm of abrupt shot boundary detection based on fuzzy clustering neural network ( fcnn ) is proposed, and it has the advantages of high precision as well as robust to fast move. caption segmentation is the key to the whole process, fcnn can also be utilized to locate caption region, however, the technique is time - consuming. thus an improved projection segmentation method is presented, and the experimental results show that it is simple and practical, and fits for real - time processing

    為了便於后續的視頻分析，提出了一種基於模糊聚類神經網路（ fcnn ）的鏡頭突變檢測演算法，實現視頻鏡頭分割，該演算法具有檢測精度高、對運動穩健等優點；區域定位是字幕提取的關鍵一環，同樣利用fcnn分類器可實現字幕定位，但其運算量大，定位精度不高，因此提出了一種改進的投影分割方法實現字幕區域定位分割，實驗表明其簡單實用，適于實時處理；考慮到單個字元背景相對簡單，為此提出了一種基於單字元的字幕二值化演算法，最終在經由字元分割、二值化及殘留背景像素清除之後，得到了清晰、高質的字幕圖像，字元識別結果證明了這一點。
  11. We extracted the multi - dim - cognizing feature based on the application object of vlp char, and we developed arithmetic of character extraction and recognition based on large number of samples and met with good results

    以車牌字元為應用對象，成功實現車牌字元分割、多屬性字元認知特徵提取、字元識別演算法。選取大量樣本測試實驗，該方法拒識率低、誤識率小，取得良好效果。
  12. A process for speaker - dependent and isolated - word speech recognition system is presented starting from preprocessing i. e. digital sampling, noise filtering, windowing and so on. it is followed by endpoint detection and pick - up parameters of speech signal. methods for speech recognition are discussed as well

    本文循著一個特定人孤立詞語音識別系統的處理過程，從信號前端處理（數字采樣、預加重濾波、加窗分幀）開始，分別介紹了語音信號的端點檢測、特徵參數提取以及孤立詞識別方法，並對每個步驟可用的幾種方法在實驗基礎上進行了分析對比。
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