節點圖標 的英文怎麼說

中文拼音 [jiédiǎntúbiāo]
節點圖標 英文
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  • 節 : 節構詞成分。
  • 點 : Ⅰ名詞1 （液體的小滴） drop （of liquid） 2 （細小的痕跡） spot; dot; speck 3 （漢字的筆畫「、」）...
  • 圖 : Ⅰ名詞1 （繪畫表現出的形象; 圖畫） picture; chart; drawing; map 2 （計劃） plan; scheme; attempt 3...
  • 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
  • 節點 : [電學] panel point; hybrid; packing; node; nodal points; joint of framework; pitch point; point pitch
  1. This method is realized by sending and receiving messages among graph managed object, tunnel set object, joint set object and tunnel objects and joint objects

    通過圖形管理對象、巷道集合對象、節點集合對象，巷道對象和節點對象之間相互發送和接收消息來實現雙線坐標計算的自動實現。
  2. To analyze some key technologies of optical network relative with rwa in detail, such as transmission, switching and internetworking ; to emphasize on the research of function, fabric and performance of optical cross - connection ; to carry out numerical simulations for crosstalk introduced by optical cross connect and to present measurements for suppressing it such as doubly filtering, fixing optimum decision threshold and appropriately choosing the number of multiplexed wavelengths ; 3. to research the fundamental principle and some problems relative with rwa, including the type of optical network, the type of traffic, the type of service, the survivability of optical network ; to classify and compare rwa algorithms and particularly research some dynamic rwa algorithms ; 4. to present reserved light - path and classify network resource such as used, unused and reserved status, to emulate establishment of all - optical connection in optical network through modified rwa algorithm and show effectively reducing setup time of all - optical connection utilizing reserved light - path ; to research rwa algorithms of multi - fiber network, to present new link weight functions dependent on node degree, unused fiber ( s ) per wavelength - layer and routing policies, to perform emulation of rwa based wavelength layer graph applying new link weight functions and show them make algorithms better performance and network lower blocking rate ; 5

    詳細分析了與rwa相關的光網路關鍵技術，包括傳輸、交換、組網等，重點研究了光交叉連接的功能和結構、性能，對其引入的串擾進行了詳細分析，選擇恰當的器件參數進行了數值模擬，並提出了抑制措施（如雙重濾波、優化判決門限、選擇恰當的復用波長數） ; 3 .研究了光網路的r認叭的基本原理、與r認叭的幾個相關問題（光網路類型、業務類型、流量類型、光網路生存性） 、 r認人演算法的分類和比較，具體研究了幾種動態r場人演算法; 4 .研究了以全光連接建立時間為優化目標的r認認演算法，提出預置光路的概念，對網路資源進行狀態分類（佔用、未佔用、預置） ，利用改進的r認叭演算法模擬，預置光路可為部分新到的連接請求快速建立連接，從而提高網路性能;研究了以多光纖網路連接阻塞率為優化目標的r認城演算法，提出了以節點度數、每個波長分層的空閑光纖數以及路由策略決定的幾種鏈路權重函數，利用基於波長分層圖模型的并行r場人演算法模擬，利用新的鏈路權重函數使得演算法具有更優的性能，使網路具有更低的連接阻塞率。
  3. The work to recognize the key points is so heavy that it ' s better to do it by computer automatically. my classmate is doing the research now. in my research, the computer can recognise quickly the key points of the images which are marked in advance

    由於人工識別標記點勞動繁重，我們採用計算機自動識別，此部分由我的同門正在研究；而我的論文中對已經標識出的關節點的圖像可進行快速識別，而且可以人工修正。
  4. As to the applications, since the web nodes and pages can be labeled using url, these algorithms are used to analyze the authoritative resources on the web

    在應用方面，由於網際網路上的節點可以被唯一標定，唯一標號圖分析演算法就被成功地用於對web權威資源的分析工作中。
  5. Visual analysis of human motion has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years. it has a lot of applications in virtual reality, smart surveillance system, advanced user interface, motion analysis and video compressing, etc. this paper focuses on the technology of human motion tracking based on video, first, we make a summarization of the domestic and overseas status of the research in this field. on the basis of this, we analyse the technical difficulties of human motion tracking. as most of the existing model - based methods of human motion tracking perform not so good in some situation as they need mannual intervention, and also the precision of tracking is not so satisfying during the research of tracking of walking people because of the self - occlusion of legs, this paper proposes an algorithm of automatic detection and tracking of legs of the walking people based on monocular image sequences, in which we analyse the features of walking people, track the five joints of lower limbs, get various parameters, and then re - construct the walking process. the main research achievement is as follows : 1 ) we propose an algorithm of markerless automatic extraction of leg skeleton. first we divide the video into continuous image sequences, after background subtraction, the satisfying human region could be extracted, then we get a single - connected region by converting the rgb image to binary image and median filtering. afterwards, the contour of lower limbs in the frame with a widest boundingbox is detected, using sobel operator, to find the ankle joint of leg behind according to the features and rules of walking, then, the joint of knee of leg behind, hip, ankle of leg in front, knee of leg in front could be got in turn. so, model of leg skeleton is constructed

    首先將視頻分解成許多連續的靜態圖像幀，經過背景去除，把感興趣的人體區域提取出來，通過二值化，中值濾波等預處理方法得到只有人體的一個單連通區域，然後用sobel運算元檢測出boundingbox最寬幀中人體下半身的輪廓，根據運動規律及特徵找到後腿踝關節點，結合從boundingbox最窄幀中所獲取的腿長依次得到後腿膝關節，跨部關節，前腿踝關節，前腿膝關節四點，從而構建出腿部骨架模型。 2 ）實現了人體步行腿部骨架的跟蹤演算法。在完成對腿部骨架模型的自動初始化之後，本文對跨關節、膝關節及踝關節分別採用運動建模、圓周相交定點演算法、運動預測及預測點周圍搜索rgb相似矩形塊三種方法確定每一幀中其實際坐標，從而重構出腿部骨架的運動過程。
  6. To identify the page that the node represents, and the site map provider that manages the node

    ，用於標識節點所代表的頁；三是站點地圖提供程序，用於管理節點。
  7. To identify the page that the node represents, a title, and the site map provider that manages the node

    ，用於標識節點所代表的頁；三是一個標題；四是站點地圖提供程序，用於管理節點。
  8. To identify the page that the node represents, a title and description, and the site map provider that manages the node

    ，用於標識節點所代表的頁；三是標題和說明；四是站點地圖提供程序，用於管理節點。
  9. This dissertation is faced to the process of steel rolling to found network of manufacture material flow, basing on it founding guide line evaluation system of the cost of unit standard producing working procedure, guide line evaluation system of the quality cost of unit standard producing working procedure and guide line evaluation system of performance and efficiency ; and base on the cost data of all kinds of material flows, manufacture flow, flux data, manpower, energy consume, material consume, capital asserts occupied, fund occupied, and the production in working procedure, throughput of the materials in working procedures in the flow and countercurrent flow in the network of material flow of recorded in working procedure producing, using the “ whole closed down lane ” model to describe network of manufacture material flow of steel rolling, found the cost analyzing model system of the network faced to producing process. make the cost increasing of the producing by abnormity material flow in working procedure, and even the cost increasing of the producing procedure as the cost of the management behavior of working procedure fallen under cost evaluation guideline in responsible working procedure, so as to ration measure the factors fast correlated with management behavior by measuring the cost

    在企業管理信息化輔助工具所建立的數據平臺基礎上，建立了以基準物流圖模型為基礎的軋鋼生產主流程物流網路拓撲圖，根據圖論的理論求解最大流量和最小費用;計算每個生產節點的加工成本，分離質量成本，克服了單純財務數據進行成本核算所帶來的缺陷;建立了軋鋼生產主流程工序含鐵物料吞吐能力基準圖模型，並根據此模型建立了軋鋼生產主流程工序激勵物流協調性和匹配性、工序響應物流協調性和匹配性分析的過程能力指數計算方法;通過引入決策單元綜合投入與綜合產出效率最優原則的模型和基於投入不變、分析產出是否有效或基於產出不變、分析投入是否有效的模型，實現了對多個績效指標在不同績效值集合之間的相對比較，並可根據投入產出效率準則、或者投入（產出）有效性準則進行排序。
  10. In the tracking of whole body, a model is described according to the body shape. using this model, simple and complicated movements such as walking and throwing motion are labeled, and the 2 - d coordinates of joints can be got. at last, the 3 - d positions of joints are obtained by the model of perspective projection combined with the relationship among joints, and human motion is recovered by 3 - d stick model

    在對全身運動跟蹤中，根據人體的形狀特徵描繪了人體區域模型圖，對全身步行及體操動作進行了二維跟蹤和標定，之後再利用攝像機的透視投影模型、人體關節間的骨骼連接關系和比例參數，把關節點在圖像序列中二維坐標恢復為三維坐標，最後用棒狀圖恢復了人體的三維結構。
  11. Slcad easily adapts to the wide range of technologies used for line surveys such as total station instruments. it accepts survey data in both the plan and the profile coordinate systems. survey data can be keyed in, or can be electronically imported from a survey data file. slcad has a customizable data import routine that can read a wide range of survey data formats

    控制尺寸調整了，修改一下前面輸入的控制尺寸的數據，后續生成的桿件和圖形自動就隨之變化，包括尺寸標注都自動隨之移動節點板設計改變了，相關的其餘的桿件會自動調整並且材料表會自動修改！
  12. Select node pressure from the browser ' s map page and observe how pressure values at the nodes become color - coded

    在瀏覽器圖頁面上選擇「壓力節點」 ，觀察節點上壓力值的顏色標志如何變化。
  13. 3to complete the product application design of project. include the establishment of design concept, lay - out plans, elevation drawing, section drawing, standard system detail, detail drawing and necessary technical information

    進行項目的產品應用設計，包括:產品平面布置圖、立面圖、剖面圖、標準產品系統安裝圖、節點詳圖及必要的技術說明。
  14. Alternatively, you can locate the switch node in the 3rd icon menu and simply drop it after the receive node

    或者在第三級圖標菜單里找到轉換節點，然後簡單的將其拖放到接收節點後面。
  15. With the extensive use of xml in applications over the web, how toupdate xml data is becoming an important issue because the role ofxml has expanded beyond traditional applications in which xml isused for information exchange and data representation over theweb

    在lorel數據模型中， xml數據被建模為帶標號邊的有向圖，一個節點表示一個xml元素，表示為一個對，這里eid是一個唯一的元素標識符， value是一個原子字元串或復雜值。
  16. An xpath expression that identifies a node from which the current hierarchical view is built

    標識生成當前分層視圖的節點的xpath表達式。
  17. This thesis transforms the composition of learning content into the logic cluster of correlative concepts in the concept layer, and proposes the idea of learning content hierarchy graph. by means of the and / or graph of artificial intelligent theory, we can transform the learning content into the problem of and / or tree further. hence, we conclude that the learning content is a tree, the root is learning goal, the branch node is correlative concept, and the leaf is media material

    本文將具體的學習內容組織轉化成在概念層上相關概念的邏輯聚集，提出了學習內容層次圖思想；經過分析發現學習內容層次圖的組織方式和人工智慧理論中的and / or圖之間存在著相似性，將學習內容的獲取轉化為and / or圖中的and / or樹問題；最終確立了學習內容的獲取就是以樹根為學習目標，以分枝節點為相關概念組織，以樹葉節點為對應的媒體素材的邏輯聚集。
  18. And where within the node the point is located, such as on the label or image area

    ，以及這個點位於節點內的位置，例如標簽或圖像區域上。
  19. If the key points are not marked, i made a human line frame of reference to help users to drag the key points to the right position

    對于沒有標識過的圖像，本文採用以人體線框為參照、隨意拖拽關節點的人工識別方式。
  20. Click the add a root node icon twice to add two menu items

    在「項」之下單擊「添加根節點」圖標兩次，添加兩個菜單項：
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