預定目標位置 的英文怎麼說

中文拼音 [yùdìngmùbiāowèizhì]
預定目標位置 英文
predicted target position
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 定 : Ⅰ形容詞1 （平靜; 穩定） calm; stable 2 （已經確定的; 不改變的） fixed; settled; established Ⅱ動詞...
  • 目 : Ⅰ名詞1 （眼睛） eye 2 （大項中再分的小項） item 3 [生物學] （把同一綱的生物按彼此相似的特徵分為幾...
  • 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
  • 位 : Ⅰ名詞1 （所在或所佔的地方） place; location 2 （職位; 地位） position; post; status 3 （特指皇帝...
  • 置 : 動詞1. （擱; 放） place; put; lay 2. （設立; 布置） set up; establish; arrange; fix up 3. （購置） buy; purchase
  • 預定 : 1. （預先規定或約定） fix in advance; predetermine; schedule 2. [計算機] reserve
  • 目標 : 1. （對象） target; objective 2. （目的） goal; aim; destination
  1. This paper describes an automatic contest robot from the cctv holding “ the first robot tv contest all over the academician ”, describes the function and the realization of the robot in greater detail. the robot adopts two stepper motors in the stepped driving control system and putting - ball control system like fishing, with the control of at89c52 single - chip microcomputer, it can synchronously produce driving pulse for two stepper motors and control the moving of the robot along the predetermined line

    該競賽機器人採用步進電機作為行走驅動，釣魚桿式的放球控制系統，在at89c52單片機的控制下，分別為左、右步進電機產生脈沖，控制機器人按照預設的固定路線行走，待機器人到達預定的目標位置后，同時控制多個放球機構，從而能分別將賽球準確地放入到比賽圓筒中。
  2. In order to geosteering, log - geology model of target formation should be built according to logging data and the interpreting result of wells nearby. geosteering parameters model is created to build simulative curves. compared these curves with logging curves, the position and drilling direction of the bit can be found combined with the concrete geological situation

    要實現地質導向，首先要根據鄰井的測井資料及其解釋結果建立目標層測井地質模式，然後通過建立地質導向參數的預測模型構造相應的模擬曲線，將模擬曲線與實測曲線進行對比，結合具體地質情況，確定鉆頭在目標層中的位置及其鉆進方向，及時調整井眼軌跡，使其始終保持在目標層中物性最好的部位。
  3. This paper, based on normalizing well logging data while drilling and correcting depth into true vertical depth and calculating reservoir parameters and etc, combining the practical ease of mobei oilfield, extracted logging and geological pattern characteristic of target oil - gas formation and geosteering mark formation, and used bp neural network and regressive analysis to create predicting mode of geosteering parameter to build relevant contrast curve ; adopted geometry geosteering method to fix on die drilling direction of bit upper and declination, the position in reservoir, to judge the real drilling case. all finely solved the problem to follow the geological target while drilling for three horizontal well these methods improve the drilling horizontal well ability by using the techniques to follow the geological target while drilling, and then it is convenient and practicable

    本文在開展隨鉆測井資料的標準化和斜井校正及儲層參數解釋與含流體性質判釋等工作的基礎上，結合研究工區莫北油田的實際情況，提取了目標油（氣）層和導向標志層的測井地質模式特徵，並採用bp神經網路法和回歸分析法建立了地質導向參數的預測模型、構造了相應的對比曲線；採用幾何導向法確定鉆頭上下傾鉆進方向及其在目標層的位置，以判斷實際鉆進地層情況，很好地解決了研究工區三口水平井的隨鉆跟蹤地質目標的問題。
  4. Realtime video image from vidicon on uav may be matched to digital map stored by image registration technique, which can more precisely orientate object and has higher reliability

    採用圖像匹配技術可以將機載攝像機實時獲取的地面圖像與預存的數字地圖進行匹配，從而能夠更為精確的確定目標位置，具有較高定位可靠性。
  5. The color - based particle filter for real - time object tracking determines the location of the object mainly using color information and incorporating the motion prediction and frame similarity

    基於顏色的粒子濾波實時跟蹤演算法主要是利用視頻圖像的顏色直方圖信息，綜合考慮運動預測和幀間的相似性來確定目標的位置。
  6. The color - based particle filter for real - time object tracking determines the location of the object by using color information and incorporating the motion prediction and frame similarity

    摘要基於顏色的粒子濾波實時跟蹤演算法主要是利用視頻圖像的顏色直方圖信息，綜合考慮運動預測和幀間的相似性來確定目標的位置。
  7. Also an algorithm which combines both model matching and feature matching is put forward. the algorithm uses the object contour in previous frame as the reference template of current frame. based on the fact that object has a continuous track in movement, object ’ s current position can be predicted based on previous position and then match the reference template around the predicted position

    該演算法將前一幀目標輪廓作為當前幀的參考模板，根據目標在運動過程中具有軌跡連續性的特點，利用目標過去的跟蹤點位置信息得到當前的預測位置點，然後在預測位置點周圍一定范圍內進行模型匹配，以與參考模板匹配值最大的輪廓作為當前幀的目標輪廓，並且把它更新作為下一幀的參考模板。
  8. The paper recounts implementing thoughts of this system and advances some improved algorithm in pretreating image, for example image enforce, segmentation of image and so on. we get rather satisfying effect by using these algorithms. in initial phase of the system, in order to get the information of field and automobile " s edge, the paper introduces detecting algorithm to confirm end - points of field, improved hough algorithm, and worm - following algorithm to pick up edge. in real - time checking phase, the most importance aim is to identify sign circles, so we advance a qiuck searching algorithm based on threshold

    文中詳敘了系統的實現思路，對于預處理階段採用的圖像處理技術，如圖像增強、圖像分割等，提出了一些相應的改進演算法，取得了較滿意的處理效果；在系統初始化階段，為了獲取場地的端點信息和汽車邊緣信息，分別介紹了自動確定場地端點位置的檢測演算法、改進的hough變換演算法和提取區域邊緣的「蟲隨法」 ；在系統的實時檢測階段，最主要的目的是識別檢測標志圓，為此，文中提出了基於閾值的快速搜索演算法，有效的提高了目標物體區域的提取和識別速度。
  9. The theory of human - centered management emphases man ’ s function and regards man as the most important resource in all organizations. this theory guides the staff to realize their scheduled aims by using many methods to improve the staff ’ s ability, arouse and develop the staff ’ s enthusiasm and creativity. the other resources in organizations are all around the center of human

    人本管理理論強調以人為核心，把人置於組織中最重要的資源地位，通過各種措施提高員工的能力並調動和發揮員工的積極性和創造性，引導員工去實現預定的目標，而組織的其他資源都圍繞著如何充分利用人這一核心資源而展開。
  10. Plot out targets in advance. locate likely attack, rally, or observation points for the enemy and ensure that you know the numbers needed to get rounds on those locations quickly

    預先測定目標。標定敵軍可能進攻、集結或觀察點的位置，並確保測定所需相關數據以在需要時迅速投放炮彈。
  11. Based on above performances the applications of multi - sensor data fusion in state estimation for maneuvering target is studied systemically. the main work includes : based on the analysis that the extreme value of acceleration presupposed causes influence in the “ current ” statistical model, a modified model is given, which utilizes the functional relationship between maneuvering status and estimation of the neighboring intersample position vector to carry out the self - adaptive of the process noise variance. then combining with the recursive characteristic of kalman filter, an improved self - adaptive filtering algorithm is presented

    基於此，本文針對多傳感器數據融合技術在機動目標狀態估計中的應用進行了系統的研究，其主要工作如下: 1 、基於「當前」統計模型中加速度極限值的預先設定對于濾波效果影響的分析，利用目標機動狀況與相鄰采樣時刻間位置估計量變化之間的函數關系實現噪聲方差自適應，進而提出了一種修正的模型，並結合卡爾曼濾波遞推演算法，提出了一種改進的自適應濾波演算法。
  12. By processing the observed data sequences of target position using the fuzzy imm approach based on current statistics model, the proposed method integrates multiple filtering and predicted values of target state from different trackers using the adaptive weighting fusion approach based on total least - squares error rule, which improves the precision and robustness of tracking system

    該方法在對各跟蹤器輸出的目標位置測量值序列採用基於「當前」統計模型的模糊交互多模方法進行處理的基礎上，採用基於總均方誤差最小規則的自適應加權融合方法對目標狀態的多個濾波與預測值進行綜合處理，較大程度上提高了系統的跟蹤精度與穩定性。
  13. This paper improves the common - used way of prediction to synchronize the measurements, and then realizes the passive location with the use of the near location that comes from the point of intersection of the perpendicular of the two radials and the radial the target locates

    本文對常用的濾波預測方法進行改進，使之適合於方位數據的時間對齊，然後利用目標所在射線與兩異面射線的公垂線的交點作為目標位置的近似，來達到無源定位的目標。
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