路經檢測法 的英文怎麼說

中文拼音 [lùjīngjiǎncèfǎ]
路經檢測法 英文
checking road
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 路經 : swing by
  • 檢測 : check; detection; test; gauging; detecting; sensing; [工業] checkout; measuring
  1. The procedure functions in the compare between partial image of dynamic collection and corresponding image of the airscape. in chapter 5, basing on the analysis of correlative theory of digital image, we introduce the improved fasted - down algorithm and simulative anneal algorithm, which applies to nn calculation, an d bring forward the unique and effective means, correlative original value evaluation. basing on the combination of correlative arithmetic, a stable, high - speed and exact correlative arithmetic is formed, which makes it possible to apply computer vision detection of single - needle quilting in industrial production

    本文展開研究並取得一定成效：構建了基於pci總線的微機實時圖像採集系統；在採集的布料總圖（鳥瞰圖）的基礎上，通過數字圖像的數字濾波、圖像增強、邊緣檢測等處理，提取布料圖像的邊緣，對輪廓的矢量化的象素點進行搜索，得到相應的圖案矢量圖，從而確定絎縫的加工軌跡，生成加工指令；在進給加工過程中，主計算機對動態局部圖像與總圖（鳥瞰圖）的對應部分進行圖像相關的匹配計算，應用數字圖像理論，結合神經網路計算的改進最速下降法和模擬退火演算法，提出獨特而有效的相關迭代初始值賦值方法，形成穩定、高速和準確的相關運算，實現單針絎縫視覺測量和自動控制。
  2. But its accuracy of detecting is low in application. in this paper we try to find a method based on artificial neural network to improve the accuracy of detecting faulty insulators

    本文力圖通過大量的實驗室和現場數據的分析，發展一種基於人工神經網路的不良絕緣子診斷方法，提高脈沖電流法用於檢測不良絕緣子的準確性。
  3. The proposed method in this paper raised a way of relatively high performance recognition of pitman shorthand vocalized outline. the approach includes : a ) segmentation of the vocalized outlines, including correction of the over segmentation based on neural networks. b ) feature extraction and recognition of pitman shorthand consonant signs using neural networks

    在解決這些問題的基礎上，完成了本文，主要內容有： （ 1 ）速記手寫體的預處理； （ 2 ）輔音多音節音素符筆劃的二次分割法，以及基於神經網路的對過分割的檢測和糾正； （ 3 ）基於神經網路的pitman速記輔音符號的識別； （ 4 ）基於單個符號識別結果的整體單詞識別。
  4. On the basis of that, the method of acquiring characteristics by infrared plane detection is given, according to the characteristics gained and the pattern recognition, a fuzzy - neural vehicle classifier based on the vehicle ' s length height and axles is carried out

    採用二維紅外檢測技術獲取車輛外形幾何參數的方法，運用模式識別的理論，結合模糊邏輯和神經網路兩者的優點，進行車型自動分類器設計。
  5. Instruction detection technology is core in instruction detection system, it include abnormity instruction and abused instruction detection, on the basis of traditional network security model, ppdr model, instruction detection principle and instruction technology analysis, the author has brought forward instruction detection method based genetic neural networks, adopted genetic algometry and bp neural networks union method, and applied in instruction detection system, solve traditional bp algometry lie in absence about constringency rate slowly and immersion minim value

    入侵檢測分析技術是入侵檢測系統的核心，主要分為異常入侵檢測和誤用入侵檢測。作者在對傳統網路安全模型、 ppdr模型、入侵檢測原理以及常用入侵檢測技術進行比較分析的基礎上，提出了一個基於遺傳神經網路的入侵檢測方法，採用遺傳演算法和bp神經網路相結合的方法?遺傳神經網路應用於入侵檢測系統中，解決了傳統的bp演算法的收斂速度慢、易陷入局部最小點的問題。
  6. Two new speech detection methods based on neural networks using barker coded synchronization signal are presented

    提出了兩種採用巴克碼編碼同步信號並基於神經網路的起點檢測新方法。
  7. Abstract : based on the indoor test results of the base bedding course materials for cement concrete pavement and prevalent actural calculation approach of the prevalent norms, and according to the different compositions in changtan expressway and in consideration of the experiences gained in the central and southern region, a typical structure legend for cement concrete pavement which is suitable for areas damp and with plenty of rainfall the typical structure and guideline for the use of the typical structure legend are presented in this paper

    文摘:通過對南方多雨地區目前常用的水泥混凝土路面基墊層材料的室內試驗，依據現行規范的結構計算方法，進行不同結構組合驗算與長潭高速公路試驗路段現場檢測，並參考中南地區使用經驗，提出了適應多雨潮濕地區水泥混凝土路面典型結構圖例，論述了運用典型結構圖例的原則及指南。
  8. Based on the analysis of the characteristics of the raw mix slurry preparing process in alumina sintering production process, firstly, a mechanism model based on material balance principle was established as the master - rule model for the quality prediction ; secondly, considering the problem that the alkali liquor composition was unstable and its real - time measurement was difficult, a nn ( neural networks ) prediction model for the prediction of the alkali liquor composition was set up and nesting - integrated with the mechanism model ; finally, using the gray theory for the information mining from the errors of the mechanism model, a gm ( 1, 1 ) compensation model was put forward and parallel - connection - integrated with the mechanism model, achieving a raw mix slurry quality prediction model

    摘要針對燒結法氧化鋁生產過程中生料漿配料工藝的特點，根據物料平衡的原理建立機理模型，作為生料漿質量預測的主規律模型；針對堿液成分波動大且難以實時檢測的問題，對堿液成分含量建立了神經網路預測模型，並和機理模型進行嵌套集成；利用灰色理論對機理模型的偏差數據進行信息挖掘，建立了gm （ 1 ， 1 ）補償模型，並與機理模型進行並聯集成，獲得生料漿質量預測模型。
  9. 1, q 3, and at last prove the exisitence of ( q, m + n, n, m ) resilient functions when n > q ? 1. intelligentized ids methods, which can make the system more adaptability and self - studying, are important research directions of ids so far. in order to make the ids systems have better identifying ability and efficiency against new intrusions, we propose the intrusion feature extra - ction algorithm based on ikpca by studying the different kinds of intrusion detection feature extraction algorithm based on unsupervised learning, and then theoretically analysis the conver - gence of the algorithm. in addition, we validate the validity of the algorithm by means of experim - ents ; at the same time, through studying ica and neural networks, we propose fastica - nn ids, and then test the kddcup99 10 % date set to make comparison of kpca 、 ikpca and fastica algorithms in intrusion detection advantages and disadvantages

    為了使入侵檢測系統對新的入侵行為有更好的識別能力和識別效率，本文在研究了各種基於無監督學習的入侵檢測特徵提取方法的基礎上，提出了基於增量核主成份分析（ ikpca ）的入侵檢測特徵提取方法，並對該方法進行了收斂性分析，同時結合模擬試驗對其正確性進行了驗證;另外，本文通過研究獨立成份分析和神經網路，提出了基於快速獨立成份分析和神經網路的入侵檢測方法（ fastica - nnids ） ，並通過對kddcup99的10 %數據集的檢測比較了核主成份分析（ kpca ） 、增量核主成份分析（ ikpca ）和快速獨立成份分析（ fastica ）在入侵檢測特徵提取方面的優缺點。
  10. However, recent years the study of electric eddy - current detection mostly overweights the study of measuring system, and the design of the eddy - current. methods are still equivalent magnetic circuit and equivalent electric circuit model calculation and experiment ' s experience design method

    然而，近幾年電渦流測量方法的研究多偏重於測量系統的研究，而對渦流檢測探頭的設計至今仍採用等效磁路、等效電路模型計算同實驗相結合的經驗設計方法。
  11. First, resistance to geometrical distortion was obtained by using moment normalization ; second, we focus on the phase of fourier - mellin transform. before detecting watermark, synchronization could be retrieved by using the phase information. to eliminate the influence of pixel value distortion generated during print / scan process, a dft - based robust watermark algorithm was designed, which could successfully detect watermark from a severe distorted image

    另一種思路是根據圖像經過旋轉、縮放、平移后，其傅立葉?梅林變換域只有相位受到影響的特點，從其相位中提取幾何失真信息，然後再進行相應的失真補償，從而消除幾何失真的影響；對于列印掃描過程產生的像素值失真，本文也提出了一種基於dft的魯棒性演算法，能在較嚴重的圖像失真情況下，成功檢測水印。
  12. The first chapter surveys the state - of - the - art of intrusion detection and the related problems. the second chapter provides the details of intrusion detection techniques, in particularly, it introduces two concepts ( network - based ids ( nids ) and host - based ids ( hids ) ), and the distributed ids. besides, this chapter proposes three intrusion detection methods ( misuse detection, anomaly detection and integrality test ), and discusses the applications of the artificial neural network technology 、 expert system technology 、 and pattern reasoning technology in the ids

    第二章討論入侵檢測技術基礎，介紹了基於網路的入侵檢測系統（ ndis ）和基於主機的入侵檢測系統（ hdis ）的概念，對分散式入侵檢測系統也進行了相關介紹;討論了三種入侵檢測辦法，包括誤用檢測（ misusedetection ） 、異常檢測（ anomalydetection ）和完整性檢測，介紹了人工神經網路技術、專家系統技術以及模式推理技術在ids中的應用。
  13. First, realized a wegener - willie distribute based network traffic anomaly detection algorithm. we make use of wegener - willie distribute to analyze the inherent time - frequency distribution characteristics of the traffic flow signal. then according to the experience of analysis on historical flow, we construct a normal flow training sample aggregation and a abnormal flow training sample aggregation

    通過魏格納-威利分佈分析網路流量信號在時頻分佈上所反映出的內在特點，根據歷史流量的經驗構造正常流量和異常流量兩個訓練樣本空間，通過k最近鄰分類演算法將帶檢測流量信號的時頻分佈與訓練樣本進行比較，完成對檢測樣本的自動分類識別。
  14. The devices for detecting phase - to - ground fault in ineffectively grounded systems are seldom functionary at present. based on thousands of experiments in high - voltage laboratory in north china electric power university, the reasons for misjudgment and the effective measures to avoid it are presented in this paper : to change pt connection form to prevent from ill - effects of ferro - resonant overvoltage ; to increase soft measures to resist against interference ; to adopt neural network method to obtain the virtual value of the detect way

    依據上千次實驗，我們找到了一些導致選線誤判的影響因素，並提出幾點防止誤判的措施，包括改變pt接線方式，避免鐵磁諧振對選線的影響；通過對故障檢測方式的處理和使用連續判斷技術增強裝置的軟體抗干擾能力；嘗試採用神經網路演算法設定選線方法的有效域等。
  15. Test technique of acoustic excitation presented in this paper can discriminate if the adhesive structure is intensional enough to endure certainty draw strength, through a series of process, for example bringing draw strength to bear on adhesive structure. testing signal through microphone array, choosing signal ' s character, recognizing automatically through manual nerve network, and so on

    本文介紹的粘接構件聲激勵檢測方法，通過對粘結結構施加微力、陣列傳聲器檢測信號、信號的特徵提取、人工神經網路的分類識別等一系列過程，完成了粘接結構承受拉脫力合格與否的無損預報。
  16. The edge detection approach based on cp neural network is valid to overcome the randomness of fragment dispersing and complexity of distribution of perforation holes. applying neural network approach, the influence of the negative factors is reduced in artificial detection and statistics. in this way, the target image was detected exactly and successfully

    基於cp神經網路的邊緣檢測方法有效地克服戰斗部破片穿靶試驗中破片飛散的隨機性和破片孔分佈的復雜性，從而減小了人為檢測和統計中諸多不利因素的影響，完成對靶板圖像的準確檢測。
  17. Based on the current research achievements on durability under chloride environment, probability theory, structural reliability theory, concrete structures theory, neural network theory and structure dynamic theory are employed comprehensively in this dissertation. some problems of durability of reinforced concrete structures under chloride environment were studied through the exploitation of experimental data, the rule of chloride ingress and steel bar corrosion, the performance of corroded member, and residual life prediction. the main issues and results in this dissertation are as follows : 1 、 the probability method for the prediction of durable life based on the stipulated reliability index for concrete structures under chloride environment is presented in this dissertation

    本論文在國內外對氯離子侵蝕環境下混凝土結構耐久性研究成果的基礎上，綜合運用概率理論、結構可靠性理論、混凝土結構理論、神經網路理論、結構動力學理論等基本理論和方法，結合實際檢測數據，按照氯離子侵蝕、鋼筋銹蝕、銹蝕構件性能、銹蝕構件壽命預測的思路對氯離子侵蝕環境下鋼筋混凝土結構耐久壽命預測的有關問題進行了深入系統地研究，完成以下主要研究工作並取得相應成果: 1 、提出了氯離子侵蝕下基於規定可靠指標的混凝土結構耐久壽命的概率計算方法。
  18. In this paper, the author applied bp algorithm in this subsystem, and a model of crack detection of glass bottle is described. this model enables the detection system to enhance the capabilities of auto - learning and auto - adapting greatly by overcoming the weakness of the worse adaptability of adapting the change of the environment and the worse tolerance to mistakes of the new information

    本論文將bp演算法應用於該子系統中，建立了基於bp神經網路的「玻璃瓶口裂紋檢測模型」 ，克服了原演算法對環境變化適應的靈活性和對新信息的容錯性較差的弱點，從而使該檢測系統的自學習、自適應能力大大增強了。
  19. The transient simulation of stator winding inter - turn short circuit fault has been completed successfully based on the multi - loop mathematical model

    基於神經網路技術，提出了以定子負序導納平均值作為故障特徵量的異步電動機定子繞組匝間短路故障檢測方法。
  20. The residual signals will be gotten from the comparison between the actual and prediction states. use a som neural networks as a classifier to classify characteristics contained in the residuals. so, we can detect whether the traffic incident has happened. this algorithm can detect not only whether the traffic incident has happened but also the level of accidental congestion caused by the traffic incident the second is another freeway traffic incident detection novel algorithm based on art2 neural networks. this algorithm uses the freeway traffic flow model and art2 neural networks as observer and classifier, respectively. the residual signals will be gotten from the comparison between the actual and estimated value of observer. use the art2 neural networks to classify characteristics contained in the residuals. so. we can detect whether the traffic incident has happened. this algorithm can recognize new pattern at the same ti

    第二種是基於ar咒神經網路的檢測高速公路交通事件的新演算法。該演算法利用高速公路交通流模型和artz神經網路分別作觀測器和分類器，觀測器估計的數據和實際交通數據進行比較，得到殘差序列;利用artz神經網路對殘差序列進行分類，以區分不同交通狀態下的交通信息，達到檢測交通事件的目的。本演算法不但可以識別已知的交通事件類型，還可以識別未知的或從未出現過的交通事件類型，是一個可以邊工作、邊學習的檢測系統。
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