最後有效信息 的英文怎麼說

中文拼音 [zuìhòuyǒuxiàoxìnxī]
最後有效信息 英文
least significant bit
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 有 : 有副詞[書面語] （表示整數之外再加零數）: 30 有 5 thirty-five; 10 有 5年 fifteen years
  • 效 : Ⅰ名詞（效果; 功用） effect; efficiency; result Ⅱ動詞1 （仿效） imitate; follow the example of 2 ...
  • 息 : Ⅰ名詞1 （呼吸時進出的氣） breath 2 （消息） news 3 （利錢; 利息） interest 4 [書面語] （子女） on...
  • 最後 : last; final; ultimate
  • 有效 : effective; valid; efficacious
  1. The total capital stock of a share company were proved to be the best criterion and the size effects were found to be much more obvious, the second best crierion is the circulating capital stock. even though, the size effects were not proved to be existing through all the periods that were tested. it is proved that the size effects were periodical and highly correlated with the changes of policy of the stock market

    從時間來看，小公司效應是從1999年6月30 ? ? 1999年12月31 ，即統計的第三個時期開始的，這在時間上與我國證券市場資金準入政策變得寬松是一致的；而在最後一個時期，即2001年6月30 ? ? 2001年10月26日的統計時期內卻沒有小公司效應，與我國國有股減持政策出臺、打擊市場操縱、規范上市公司治理結構和信息披露制度在時間上是一致的。
  2. By integrating all the latest information and active form gateway technology, the project connected the wireless communicating network, telephone network and internet to realize the alete bonding of information and widening the service scope of application system based on internet, thus the farmer could get the information from internet more delicacy and effectively, which will solve the " the lastly one mile " problem of fruiter information transferring

    摘要本項目綜合運用各種最新的信息技術以及主動式網關技術，將無線通訊網、固定電話網和網際網路絡連接在一起，實現信息的無縫跨接，拓寬了網際網路絡上應用系統的服務范圍，使得基層農戶能夠以靈活方便的形式獲得網際網路絡上的信息，有效的解決了果樹信息傳遞的「最後一公里問題」 。
  3. Gathering fuzzy technique and model - identifying technique to processing research, fuzzy model - identifying technique, a intersecting science, has been come out, which has become hoto in this thesis, based on deeply researching the fuzzy unit - identifying and complete analysis on data of measuring well of the chandqing wushenqi district, the method of constructing self - adapting multi - dimension non - liner subjection degree function has been created without precedento based on the extraction of routine measuring well character parameters, and for adopting self - adapting method to carry through character compression, the model has been improved the performance and enhanced the convergence speed and sorted precision of the algorithm o the relation of measuring well information and the oiliness & gassiness of sandstones is fuzzy ? in the thesis, the law of max subjection degree has been studied and improved, and proved preferable effect in the practical application

    論文在提取一些常規測井特徵參數的基礎上，採用自適應方法對各變量多項式進行優選，減少了特徵參數間的相關性，突出了類別間的差異性，從而優化了模式的質量，提高了分類的精度。測井信息和砂體的儲集性之間的關系是帶有模糊性的，論文對模糊「最大隸屬原則」進行了研究和改進，並在實際應用中取得了較好的效果。論文成功研製了「自適應」的演算法和軟體? ?即通過對正確回判率的比較，然後對參數進行調節的辦法，可將模式「訓練」到最佳狀態。
  4. It first finds the best features that are extracted from glcm and explain the texture clearly in different resolution, and then segments on different level, at last, by combining the structure information of texture edge, extract the edge of different patterns to get a relatively accurate result of texture segmentation

    該演算法有效的利用了由灰度共現陣得到的、不同解析度上最能表述紋理特性的統計特徵，分層次對圖像進行分割，然後結合紋理的結構信息對邊緣區域進行邊界定位，進而得到較準確的紋理分割圖。
  5. Secondly, actions between banks and enterprises in china ' s credit market and the motivation of banks " deregulation are deeply analyzed by the means of the game theory. thirdly, the thesis studies how systematic factors in china aggravate the information asymmetry in the credit market from the aspects of property right, financial supervision and information announcement. at last, suggestions on how to dissolve the bank credi t risk and prevent non - performing banking assets increasing are put forward in the aspects of improvement of information symmetry, establishment of incentive and constraint mechanism and elimination of systematic factors which aggravate the information asymmetry

    首先，論文分析了我國信貸活動中的信息不對稱所產生的逆向選擇與道德風險對銀行資產質量的影響；其次，作者運用博弈論方法對我國信貸市場中銀行與企業的博弈行為以及銀行違規的動力進行了深入地分析；接著，論文又從產權、金融監管和信息披露這三個方面研究了我國的體制性因素如何加劇信貸市場的信息不對稱問題；最後，論文從提高信貸市場的信息對稱度、建立有效的激勵約束機制以及消除加劇信息不對稱的體制性因素這三個方面對化解我國銀行信貸風險、防範銀行不良資產的新增提出了建議。
  6. The essence of edid is to set up a normal behavior fuzzy sub collection a on the basis of watching the normal system transfer of the privilege process, and set up a fuzzy sub collection b with real time transfer array, then detect with the principle of minimum distance in fuzzy discern method the innovation point of this paper is : put forward the method of edid, can not only reduce efficiently false positive rate and false negative rate, also make real time intrusion detection to become possibility ; have independent and complete character database, according to the classification of monitoring program, design normal behavior and anomaly behavior etc., have raised the strongness of ids ; use tree type structure to preservation the character database, have saved greatly stock space ; in detection invade, carry out frequency prior principle, prior analysis and handling the behavior feature of high frequency in information table, have raised efficiency and the speed of detection, make real time intrusion detection to become possibility ; have at the same time realized anomaly intrusion detection and misuse intrusion detection, have remedied deficiency of unitary detection method

    這種方法的實質是在監控特權進程的正常系統調用基礎上建立正常行為模糊子集a ，用檢測到的實時調用序列建立模糊子集b ，然後用模糊識別方法中的最小距離原則進行檢測。本文的創新點是：通過對特權進程的系統調用及參數序列的研究，提出了基於euclidean距離的入侵檢測方法edid ，不僅能有效降低漏報率和誤報率，而且使實時入侵檢測成為可能；設計有獨立而完整的特徵數據庫，根據被監控程序的類別，分別設計正常行為、異常行為等，提高了檢測系統的強健性和可伸縮性；特徵數據庫按樹型結構存儲，大大節省了存儲空間；在檢測入侵時，實行頻度優先原則，優先分析和處理信息表中的高頻度行為特徵，提高檢測的速度和效率，使實時入侵檢測成為可能；同時實現了異常入侵檢測和誤用入侵檢測，彌補了單一檢測方法的不足。
  7. Based on perspective model, it was proposed that drawing camera inner parameters with physics method ; in image processing, especially the particularity of robot object localization and tracking, it was proposed that several effective methods of image smoothing and sharpening, edge detection, boundary tracking ; at the same time, in order to complete object recognition, we introduced the methods of drawing object character parameters ; in object image matching, two kinds of effective object matching arithmetic was proposed ; based on the principle of object 3d information restoration, we proposed two kinds of arithmetic of 3d coordinate restoration of object feature points, and completed object movement parameters estimate and object tracking and prediction, and presented experimental result

    以透視成像模型為基礎，提出了用物理方法來提取攝像機內部參數；從圖像處理角度出發，針對機器人目標定位與跟蹤的特殊性，提出了幾種行之有效的圖像平滑、銳化、邊緣提取以及邊界跟蹤的方法；同時，為了完成目標的識別，介紹了目標特徵參數的提取方法；在目標圖像匹配上，提出了兩種快速有效的目標匹配演算法；基於目標深度信息恢復原理，提出兩種目標特徵點三維坐標恢復的方法，同時完成了目標運動參數估計和目標的跟蹤與預報，並最後給出了實驗結果。
  8. Moreover, some elementary research on bse has been done, the extraction condition was discussed and the results show that bse can solve singular linear mixture problems to some extent. finally an algorithm for multi - sources blind extraction based on information theory was studied

    匆此外，本文還對盲信號提取（ bse ）做了初步研究，對盲信號提取的條件進行了探討，結果表明bse對解決奇異線性混合有一定效果，最後基於信息論準則研究了多源信號的提取演算法。
  9. In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local

    本文首先對聚類分析的遺傳演算法進行了研究，討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法，分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究，提出了一種基於遺傳演算法的k - means聚類改進（混合聚類演算法） ，在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ，用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心，最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法，其顯著特點是隱含并行性和對全局信息的有效利用的能力，所以新的改進演算法具有較強的穩健性，可避免陷入局部最優，大大提高聚類效果。
  10. Abstract : an integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem. the simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. finally, a numerical example is given to show the feasibility and effectiveness of the method. the result shows that it is easier than other methods of integrating subjective and objective information

    文摘:研究了結合主觀和客觀信息的模糊多屬性決策問題，其中主客觀信息分別由屬性權重的兩兩比較矩陣和決策矩陣組成.提出一種結合主觀和客觀信息的特徵向量決策方法，給出了2種求解基於主客觀特徵向量法的模糊多屬性決策方法.這種方法通過求解2個線性目標規劃模型得到最優屬性權重，然後，通過對決策信息進行簡單的加權集結，得到所有方案的排序結果.最後，通過一個算例說明了該方法的實用性和有效性.結果表明，該方法要比其他主客觀結合多屬性決策方法簡單
  11. An integrated approach is proposed to investigate the fuzzy multi - attribute decision - making ( madm ) problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. an eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an madm problem. the simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. finally, a numerical example is given to show the feasibility and effectiveness of the method. the result shows that it is easier than other methods of integrating subjective and objective information

    研究了結合主觀和客觀信息的模糊多屬性決策問題，其中主客觀信息分別由屬性權重的兩兩比較矩陣和決策矩陣組成.提出一種結合主觀和客觀信息的特徵向量決策方法，給出了2種求解基於主客觀特徵向量法的模糊多屬性決策方法.這種方法通過求解2個線性目標規劃模型得到最優屬性權重，然後，通過對決策信息進行簡單的加權集結，得到所有方案的排序結果.最後，通過一個算例說明了該方法的實用性和有效性.結果表明，該方法要比其他主客觀結合多屬性決策方法簡單
  12. The flowage of information exists in the movement and development of financial ecology. information is the base of financial ecology, there is no financial ecology without information. the research of information efficiency of financial ecology is meaningful that information pervasively exists in financial ecology and has some important characters

    對金融生態中信息效率的分析，是以帕累托最優配置作為標準，加入所有制約束，並引用了瓦爾拉斯均衡，最後得出金融生態中具有信息效率的機制。
  13. Finally, the situation of system test is introduced. at the same time, the paper affirms the significance of system research, which completely meets with the requirements of digitized, network - depended, information shared facture of tv program. also, some limitations of system function are indicated

    最後，論文對系統的測試情況進行了介紹，肯定了本應用系統的研製成功對電視臺實現電視節目製作數字化、傳輸網路化、節目信息共享化、播出自動化和管理科學化，從而提高電視臺節目播出質量和運作效率的重要意義，並指出了系統有待完善的地方。
  14. Facing the information age, the marine environmental information systems should also absorb the article intelligence technology and virtual reality technology to serve as a decision - making support system and export system for the ocean environment study and development. thirdly, based on maplnfo ( gis software ) platform and development languages ( vb and mapbasic ), marine environment information system in luoyuan bay was designed and development, then relied on gps and rs, ocean environment information in luoyuan bay was collected and managed effetely, its aim is to provide a reasonable opinion for decision - maker on how to utilize resources and protect environment in luoyuan bay. lastly, marine environmental quality of aquafanns in luoyuan bay was assessed relied on marine environmental information system and mathematics model ( fuzzy cluster ), and corresponding countermeasures were presented to protect ocean environment in

    本文首先通過對海洋環境信息系統的特點和國內外研究現狀的分析，探討了網路時代海洋環境信息系統的發展趨勢；接著以mapinfo （ gis軟體）為開發平臺，以vb和mapbasic為開發語言，面向管理和決策層，進行羅源灣海洋環境信息系統的設計與開發，並結合遙感（ rs ）和全球定位系統（ gps ）建立模型庫，收集和管理羅源灣海洋環境信息，旨在為羅源灣的海洋建設項目的立項、選址、規劃和海洋污染事故的應急提供決策支持，從而有效地保護羅源灣海洋生態環境；最後運用羅源灣海洋環境信息系統並結合數學模型（模糊聚類）對羅源灣養殖區水環境現狀進行評價，從而使得羅源灣各海水養殖區的水質現狀評價變得生動、形象和直觀，並針對羅源灣海洋污染源狀況和污染現狀，提出了保護羅源灣海洋生態環境相應的對策。
  15. Firstly, to state that the study of scm optimization calls, i present the main problems when our home enterprises put scm in practice and the lack of present theoretics. then i divided all of the means of scm optimization into two classes - enterprise management methods and information technology methods, and i discussed every information technology method in detail : enterprise management methods i discussed cover mapping out manipulable plans, strengthening core ability and improving scale economic benefit, controlling sc ' s risk, and making use of the third party ' s logistics. in chapter 4 i discuss information technique methods in detail, which cover optimizing r & d of erp and scp, edi techniques, internet information technology, the other logistics techniques, advance planning system, and network technology

    最後詳細論述了優化供應鏈管理的各種企業管理方式，主要包括有：制定可行的優化實施計劃、加強企業核心能力提高企業規模經濟效益、控制供應鏈風險的措施、合理利用第三方物流等幾種方式，第四章主要論述了優化供應鏈管理的信息技術手段，有: erp和scp軟體開發的優化、使用edi技術優化供應籩管理、基於internet的供應鏈管理信息技術支撐體系、其它物流技術手段、高級計劃排程系統以及網路技術方案等。
  16. And simultaneously elaborated implements erp the prerequisite. the service flow reorganizes ( bpr ) management thought ( 4 ) using practice opportunity with erp, economic society benefit, feels it which in the practice which to bring in the management change as well as produces. thoroughly ponders, proposes oneself regarding this software improvement suggestion finally proposed to future enterprise information conception, namely front has crm ( the customer relations manages ), middle erp ( the enterprise resources plans ), scm ( supplies the chain to manage ). latter has b2b the electronic commerce support

    並同時闡述了實施erp的前提條件? ?業務流程重組（ bpr ）的管理思想運用實踐機會，親自接觸erp軟體，在實踐中感受它帶來的管理方法上的變化以及所產生的經濟社會效益，深入思考，提出自己對于該軟體的改進建議最後提出了對未來企業信息化的構想，即前有crm （客戶關系管理） ，武漢理工大學碩士學位論文一中間erp （企業資源計劃） ， scm （供應鏈管理） ，後有bzb的電子商務支持。
  17. This paper describes an aag ( attributed adjacency garaph ) based method of machining features recognition for shaft kind parts and 2. 5d parts on the acis platform, which can effectively recognize the main and assistant feature of these kinds of parts. using the class library provided by acis, all the geometrical information for defining a feature can be acquired. finally a xml neutral file describing the recognition result is provided for the later capp process and the generation of nc code

    本文首先分析三維實體邊界模型的特徵識別方法及其特點，繼而採用基於屬性鄰接圖的特徵識別方法，研究了軸類零件及2 . 5維零件的加工特徵的分類及其識別，並在acis平臺上開發了相應的軟體原型系統，有效地識別該類零件的主特徵和常見的輔助特徵，且利用acis提供的類庫介面提取模型底層的幾何參數，得到定義各項特徵所需的幾何尺寸信息，最後以xml中性文件的形式輸出識別結果，為后續進行的工藝規劃、加工代碼生成提供初始數據，從而為cad / capp / cam的集成提供有效的方法。
  18. The thesis mainly recounts the detail questions about bayesian small sample theory and the important applications of the theory in engineering, and gives sufficient analyses and discussion of every step of accomplishing a precision evaluation when using small samples. in the thesis, the following issues are contained, such as how to get and denote the prior information, the consistence test of prior information and test samples of shooting range, the fusion of multi - source information, calculating of posterior probability, estimation with bayesian approach, how to constitute test evaluation project of different performance and calculate the risks of both sides are contained, and at last a kind of applied method to calculate the effectiveness is given

    論文主要敘述了有關bayes小樣本理論的一些具體問題，以及該技術在工程中的一些關鍵應用，對小樣本條件下精度鑒定的各個環節給予較充分的分析和討論，其中包括驗前信息的獲取、表示，驗前信息和靶場試驗樣本的一致性檢驗，多源信息的融合，驗后概率的計算， bayes方法在估計中的應用，試驗鑒定方案的制定，對不同戰標的評估方法和風險的計算等，最後對作戰效能的計算給出了一種工程中較實用的方法。
  19. From the information available for the preparation to be assayed ( the “ unknown ” ), assign to it an assumed potency per unit weight or volume, and on this assumption prepare on the day of the assay a stock solution and test dilution as specified for each antibiotic but with the same final diluent as used for the usp reference standard. the assay with 5levels of the standard requires only one level of the unknown at a concentration assumed equal to the median level of the standard

    根據有效的信息制備試驗溶液，指定一個假定的每單位重量的效價或者體積，然後在假設的基礎制備當天儲備液試驗和稀釋溶液作為每一種抗生素指定的效價，但是當使用相同usp參考標準品的最終稀釋液時，試驗應使用平行5的標準要求僅有一份未知的做為濃度等同於中部的標準。
  20. Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified pcnn model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. secondly, pcnn is extended to pcnns, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification ; fin ally, based on the accumulative difference pictures, and the forming and transmission of pcnn wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction

    首先結合pcnn的同步脈沖發放和側抑制特性，提出了基於改進型pcnn的圖像凹點檢測演算法，該演算法是一種自適應而有效的圖像凹點檢測方法，並且較好地模擬了人類視覺系統；然後，結合信息傳遞和信息耦合特性，將pcnn擴展成pcnns （ pcnn網路群） ，提出了一種基於pcnns的圖像融合演算法，能夠將多個傳感器獲取的同一目標的圖像信息融合到一幅圖像中，有效模擬了人類視覺系統；另外，結合pcnn的同步脈沖發放特性、捕獲特性和波的傳播競爭特性，開拓地將pcnn用於模式分類中，提出了基於耦合神經元點火捕獲抑制特性的分類方法和改進的約束距離下的pcnn分類方法，前者可實現對樣本空間中任意復雜分佈訓練樣本的穩健非線性分類，而後者能夠消除訓練樣本中刺點對分類的影響；最後，結合累積差分圖像思想、 pcnn波的形成與傳播特性，通過各神經元之間連接取向來選擇與控制自動波的流向，將pcnn用於運動視覺分析中的運動軌跡模擬及運動方向檢測。
分享友人
分享到 Line

分享到臉書