tracking-data network 中文意思是什麼
tracking-data network
解釋
數據跟蹤網路-
Thirdly, it utilizes line tracking and douglas - peucker line - simplification algorithm to realize the raster - to - vector conversion. a triangulated irregular network ( tin ) is constructed based on vector data, and dem point - array data is computed by interpolating grid on tin
第三，使用輪廓線跟蹤演算法和dpl多邊形近似方法實現等高線數據的矢量轉換;並基於等高線矢量數據建立不規則三角網，再內插格網生成dem點陣數據。 -
This paper researches a new method and technique of flight path filtering and interconnection of multi - sensors, and applies the basic theory of data fusion and computer network to the tracking system of close - in anticraft weapon, thereby the frame of networked tracking system of close - in anticraft weapon
摘要研究多探測器航跡濾波與互聯新技術與新方法，把數據融合的基本理論和計算機網路技術應用於近程防空武器的跟蹤系統中，得到了近程防空武器網路化跟蹤系統的框架。 -
This paper studies a data experiment and identification problem of an actual system, in which the steering gear and the satellite - satellite pointing / tracking system act as the study object, based on system identification technique. the main factors that influence identification results and problems that should be paid attention to are analyzed. base on the analysis, auto - regressive moving average with exogenous input model ( armax ) for steering gear and a three - layer predictive control neural network model are established
從理論的角度研究了對於一個實際系統的數據實驗設計和模型辨識問題，分析了影響系統辨識結果的主要因素以及在辨識過程中應注意的問題，並以此為依據，建立了舵機的滑動平均模型和星星天線指向控制系統的三層預測控制神經網路模型。 -
Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network
然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。 -
The system can construct vivid three - dimension training scenes, has multiform driving data sources, supports network training, makes reaction to command order in time, is furnished with all - around evaluate and analyse system, those that can efficiently raise the tracking level of the operator
該系統能夠營造逼真的三維訓練場景，有多種驅動數據源，支持聯網訓練，能及時地對控制命令做出反應，且能提供專業、全面的事後評估、分析系統，能有效地提高操作手的跟蹤水平。 -
Finally, according to the mode of two - roles in teaching, which should give play to teachers " leading role and also fully reflect students " cognitive subject. and on the basis of following the course teaching design principle of the network, carry on the website design and develop of the course of " hydraulics & pneumatics ". firstly utilize frontpage2000 of the developing instrument of web page to designed and develops website ' s overall style, the interface, style of navigating and studying the supplementary function that courses need ; then utilize jsp and javabeans discreteness technology to carry on real procedure making, in order to reach the function of various kinds of websites and teaching purpose, such as the operation to backstage supporter ' s data base, realize website ' s registration and log on, realize the search and study offered for studying and is tracking the studying ; then imbed the network packs in the corresponding web page, and regulate the linking of these web pages, make it reach anticipated request, and debug running in campus network
最後，按照雙主教學模式（即發揮教師的主導作用和學生的認知主體作用） ，並且在遵循網路課程教學設計原則的基礎上，進行「液壓與氣壓傳動」課程的網站設計與開發：利用網頁開發工具frontpage2000進行網站總體風格、界面、導航風格以及學習課程所需輔助功能的設計與開發；利用jsp及其， tavabeans組件技術進行實際的程序開發，以達到對后臺數據庫的操作、實現網站注冊及登錄、實現為學習提供的搜索和學習跟蹤等等各種網站功能及教學目的；把網路打包好的課件嵌入相應的網頁中，並對這些網頁的鏈接進行調節，使其達到預期的要求，並在校園網上進行調試運行通過。 -
The paper carries on the research of network topology, algorithm of state estimation and detection and identification of bad data, and applies the method of tracking search to network topology, semi - dynamic optimization to node numbering, algorithm of weighted least - squares with constraints to state estimation and rn to detection and identification of bad data. the calculation is made for jinzhong ' s electrical network according to its circumstances in shanxi
本文對電力系統狀態估計理論中網路拓撲分析、狀態估計演算法、不良數據的檢測與辨識進行了研究，採用獨立於結線方式的跟蹤搜索法進行網路拓撲分析、半動態優化技術進行節點優化，帶約束加權最小二乘法進行狀態估計計算，標準化殘差進行不良數據的檢測與辨識。 -
This paper studies on algorithms of multiple moving targets passive tracking and data association in the field of passive acoustic detective network forwarning system, the major contributions and innovations are as following : 1
本文針對無源聲音探測網路預警系統，研究了多運動目標無源跟蹤與數據關聯問題中的相關演算法，主要貢獻與創新在於： 1 -
In this paper, we describe the study background, meaning and methods of passive acoustic detective network, summarize the basic theories and methods of target tracking and data association, analyze some tipical data association algorithms include the nearest neighbor algorithm ( nn ), probabilistic data association filtering ( pdaf ), joint probabilistic data association filtering ( jpdaf ), multiple hypothesis tracking ( mht ), and multidimensional s - d assignment algorithm. 2. in detective network, sometimes a surveillance region have only single sensor
從整體上描述了無源聲音探測網路的研究背景、意義、基本框架和研究方法，概述了目標跟蹤與數據關聯的基本理論與方法，重點分析了幾種典型的數據關聯方法，包括最近鄰方法、概率數據關聯濾波器（ pdaf ） 、聯合概率數據關聯濾波器（ jpdaf ） 、多假設跟蹤（ mht ）以及多維s - d分配演算法。
分享友人