goal node 中文意思是什麼
goal node
解釋
目標節點-
The goal of this thesis is to give a scheme on the application of wireless sensor network system indoor. first of all, we have a deep research on the ‘ telos ’ node, secondly, we build up a stack system structure of wireless sensor network to monitor the temperature of the building intellectively, design and realize the network stack including physical layer, data link layer, network layer and application layer. finally, we debug the software in order to verify the network layer and the application layer
本文以智能樓宇溫度監測應用為設計目標，以em2420射頻晶元和atme128l單片機為設計載體，在詳細研究telos節點方案基礎上，對面向設計目標的室內無線傳感器網路節點的物理層、數據鏈路層、網路層和應用層之間的網路協議棧進行了實現性設計，建立了立足設計目標的無線傳感器網路協議體系，並在avrstudio4 . 11調試環境下對網路層和應用層設計正確性進行了調試驗證。 -
The kernel architecture based on faith mechanism is utilized by the functional main agent within the node so as to respond to the change of environment in react - driven way while carrying out various diagnoses and recovery in a goal - driven manner in every node, thus the local adaptive management is complemented efficiently
結點內的功能主體使用了基於信念機制的內核結構，使得每個結，毅在以目標驅動的方式展開各種診斷與恢復的同時，仍能以反應驅動的方式對環境的變化做出反應，從而高效地實現了本地適應性管理。 -
Finally, the realization details for home agent, mobile node and correspondent node are given. through several function tests and result analysis, this mobile ipv6 system is proved that the initial goal is reached and a good performance is achieved
最後給出了本地代理、移動節點、對端節點的具體實現細節，初步測試和結果分析表明本系統實現了既定的設計目標，能夠正常的工作，並且具有較好的性能。 -
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。
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