sensor data 中文意思是什麼

sensor data 解釋
傳感器數據
  • sensor : n. 1. ＝sensory （名詞）. 2. 【自動化】感受器；傳感器；靈敏元件，控制儀板上顯示溫度、輻射量等變動的裝置。
  • data : n 1 資料，材料〈此詞系 datum 的復數。但 datum 罕用，一般即以 data 作為集合詞，在口語中往往用單數...
  1. The paper studies and designs the circuit driving the servo motor and the motor for clearing, and the serial communication circuit, and the sensor data input circuit etc. the author develop the embedded controller software based the advanced singlechip language - pl / m and the user interface software base vc + + 6. 0

    進行了清刷機器人的伺服電機驅動與控制電路、清刷電機驅動與控制電路、串列通訊電路、傾角傳感器數據採集等硬體電路的設計，並進行了基於pl m高級單片機開發語言的下位機嵌入式控制軟體的開發和基於vc + + 6 . 0的上位機用戶操作界面的開發。
  2. Measurement of multi - sensor data fusion based on fuzzy clingy degree

    基於模糊貼近度的多傳感器數據融合測量
  3. Study of adaptive weighted estimate algorithm of congeneric multi - sensor data fusion

    同類多傳感器自適應加權估計的數據級融合演算法研究
  4. Multi - sensor data fusion technology can synthetize every side information from multi sensors, can acquire more complete and more accurate information of observation object, then acquire more accurate and more rapid decision and estimation

    多傳感器數據融合技術能夠綜合多個傳感器提供的各個側面信息，可以獲得觀測對象更全面、更準確的信息，從而得到準確、快捷的決策和判斷。
  5. It classifies data of conflict, redundancy and complementarity according to the relationship of self - entropy and mutual entropy about sensor data, and builds the structure of multisensor data classification for classified fusion

    該方法根據傳感器數據自熵和互熵的關系實現沖突、冗餘和補充的數據分類，建立多傳感器數據分類結構並進行分類融合。
  6. Utilizing control lyapunov function, the position control and trajectory control law are designed for the robot. using matlab and simulink, simulation results are provided to show the efficacy of the kalman filter and controllers. also, multi - sensor data fusion, balancing control, robustness control and velocity tracking experiments are conducted to ensure the validity and efficacy

    利用matlab及simulink對上述濾波器、控制器進行模擬，並通過兩輪自平衡機器人系統實驗平臺進行數據融合、平衡控制、魯棒性、速度跟蹤實驗，獲得了期望的平衡與速度跟蹤性能，驗證了數據融合演算法和相應控制器的正確性與有效性。
  7. Then the two 2d lrf based obstacle detection system was carefully designed and consequently the algorithm based on multi - sensor data fusion was presented

    接下來作者設計了採用兩個2d激光測距雷達的alv障礙檢測系統，並提出了基於多傳感器數據融合的障礙檢測方法。
  8. At the lowest layer, the original sensor data is converted to information of signal type, and by a series effusion steps, the information can be converted to more abstract numbers and symbols

    四川大學博士學位論文在最低層，原始的傳感數據被轉換為信一號型信息，經過一系列的融合步驟后，信息可能又被逐步轉換為更抽象的數字或符號表達的知識。
  9. A method to sensor data fusion based on fuzzy and statistics integration

    基於模糊數學與統計理論集成的多傳感器數據融合方法
  10. Research of method about geomagnetic sensor data processing by optimal idea

    基於優化思想的地磁傳感器數據處理方法的研究
  11. So we can utilize the special sensor data to create the currency feature collection via analyzing currency samples in statistics. the fake currency can be identified rapidly and exactly by this method

    利用特殊的傳感器數據，通過對貨幣樣本的統計分析建立貨幣的特徵模式集，實現對真偽的快速、準確識別。
  12. Through study of correlative contents of advanced computer cybernetics, artificial intelligence, the domain knowledge and special crop growth mechanism in greenhouse, we present the system of multi - sensor data fusion ( msdf ) based on radial basis function network ( rbf ) to implement on line detection for nutrient - liquid, which may realize multiple components detection on - line, for example no3 -, cl -, ca2 +, ph, ec, nh4 +, k + and so on. the soft sensor ' s mechanism is introduced to overcome the limitations of sensor ' s manufacturing process. to improve the believe - degree of soft sensor ' s result, we analyze soft sensor ' s result by uncertain inferential capacity and combination rule of evidential theory

    本論文通過對計算機技術、控制理論、人工智慧技術和設施農業領域知識等相關理論的研究，結合對特定溫室蔬菜生長的研究與機理分析，提出了一種基於rbf神經網路的營養液多傳感器數據融合（ msdf ）系統，實現對營養液組分： no _ 3 ~ - 、 cl ~ - 、 ca ~ （ 2 + ） 、 ph 、 ec 、 nh _ 4 ~ +和k ~ +的在線檢測；對于由於目前傳感器製造工藝的限制而不能在線檢測的離子成分如磷酸根和硫酸根，提出了一種基於徑向基函數網路的軟測量機制，可以有效地實現對營養液中磷酸根和硫酸根成分的實時檢測；為了提高軟測量結果的可信度，利用d - s證據理論的不確定推理能力和合成公式，結合領域知識對軟測量結果進行可信度分析。
  13. Display current sensor data, including

    顯示電流傳感器的數據，其中包括：
  14. The intelligent vehicles technology may divide into three according to the function level, namely intelligent sensation / early warning system, vehicles control loop and entire automatic operating system ; the intelligent vehicles research involves the computer survey and the control, the computer vision, the sensor data fusion, the vehicles project and so on many domains, may say, the intelligent vehicles research is the computer vision and the computer control research in the vehicles project synthesis

    智能車輛技術按功能層次可以分為三層，即智能感知預警系統、車輛駕駛系統和全自動操作系統；智能車輛的研究涉及計算機測量與控制、計算機視覺、傳感器數據融合、車輛工程等諸多領域，可以說，智能車輛的研究是計算機視覺與計算機控制研究在車輛工程上的綜合。
  15. Including the testing of the validity of sensor data and the adapting of the q matrix in reai - time, the kalman filter is researched to improve the real - time, precision and robust of navigation system. with this method, the disturbances resulted from the many uncertainties in non - structure agricultural environment can be overcome, the movement of road line can be followed in the image space so that the technology of visual window can be used, the current measured state of wheeled mobile robot can be substituted by the predicted state to increase the real - time of control system

    包括傳感器數據有效性檢驗、 q陣自適應實時調整等內容，詳細地研究了利用擴展卡爾曼濾波理論改善導航系統實時性、精確性和可靠性的具體方法，以克服農田非結構化自然環境里存在的多種不確定因素給導航系統造成的干擾，跟蹤圖像空間中路徑目標的運動而便於有效地利用視覺窗口技術，提供輪式機器人狀態的預測值代替實測值進行導航控制來改善控制系統的實時性等
  16. The project which the thesis based on is to do some researches on the multi - sensor data fusion technology, then to design and implement fire detecting system

    本課題的研究內容是對多傳感器數據融合技術的研究和在此基礎上設計並實現火災探測系統。
  17. Furthermore, dempster - shafer ( d - s ) method which is used to identify objects in multi - sensor data fusion is elaborated. different situations in homogeneous and

    此外，該文還詳細闡明了在多傳感器數據融合中目標識別的證據推理方法，對同類證據及不同類證據融合識別的各種情況分別進行了分析和討論。
  18. To resolve the question of tracking highly maneuvering targets in clutter with different sensors, the theory of multi - sensor data fusion and algorithm of joint probabilistic data association have been analyzed in depth. in this thesis, with the using of matlab simulating tool, it accomplished the tracking of three maneuvering targets in clutter and completed the algorithm emulation of every phase in multi - target tracking. from the satisfied result of simulation, the validity of target tracking algorithm in whole data fusion system has been proved

    論文針對多雜波環境下的高度機動目標，依據多傳感器數據融合的理論基礎，基於目標跟蹤領域中的概率數據關聯演算法，對於三個機動目標在雜波環境下的軌跡進行跟蹤，並在matlab環境中，完成了多目標融合跟蹤各個階段的演算法模擬，取得了滿意的模擬結果，從而證明了整個系統的數據融合目標跟蹤演算法的有效性。
  19. Based on the discussion of the base principle and several fusion diagnosis methods of multi - sensor data fusion, data fusion diagnosing method based on d - s theory is mainly researched ; according to the requirement of fusion principle, constitute methods of mass function are discussed, and the identify frame for fusion diagnose of hydroelectric sets vibration fault are constructed

    在討論了多傳感器信息融合的基本原理和融合診斷的幾種方法的基礎上，重點研究了基於d - s證據理論的融合診斷方法，並根據融合規則的需求，討論了基本可信度分配函數的構造方法，建立了水電機組振動故障的融合診斷識別框架。
  20. How to use dempster - shafer ( d - s ) method to solve multi - sensor data fusion problems is analyzed in this paper. based on basic probability assignment of target type decided by multiple sensors, new sensor data are added continually, and believe function and plausibility function are update ; finally the destination of decision of target type is arrived

    應用證據理論（ d - s方法） ，解在多傳感器條件下的數據融合問題，具體方法是根據多個傳感器對目標類型判斷的基本概率分配函數，不斷添加新的傳感器數據，更新信任函數和似然函數，最終判斷目標類型。
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