The order of our discussions " about these tasks is as follows : firstly , we pay more attention to the characteristics and difficulties of its environment including the concept , typical system model , main challenges , mobile network connection and soft application . secondly , according to mobile specialties of the environment we make the sort of data into four kinds : general data , time series , spatial data and time - spatial data , and present general processing of data mining . lastly , we discuss the methods of data mining of these four kinds respectively : after the introduction of the actuality of data mining of every kind , an algorithm of rule updating based on rough set is given , then put forward the processing of data related to mobile users and flow chat according to characteristics of the other three kinds 本文對以上任務的討論順序安排如下:首先是對移動計算環(huán)境的技術特點和難點進行討論,包括移動計算的概念和典型系統(tǒng)模型、主要挑戰(zhàn)、移動聯(lián)網(wǎng)以及軟件應用這幾個大的方面;其次根據(jù)移動環(huán)境的移動特性把移動計算環(huán)境中的數(shù)據(jù)分為普通數(shù)據(jù),時間數(shù)據(jù),空間數(shù)據(jù)以及時空數(shù)據(jù),提出了在移動計算環(huán)境中數(shù)據(jù)挖掘的一般流程;接下來分別對這四類數(shù)據(jù)進行挖掘算法的討論:每一部分都是先介紹該類數(shù)據(jù)的挖掘方法研究現(xiàn)狀,對于普通數(shù)據(jù),針對我們已提出的一種挖掘算法-粗糙集算法( rs ) ,提出了對應的規(guī)則更新算法,對于后三種數(shù)據(jù),本人根據(jù)其在移動計算環(huán)境中的特點分別提出了與移動用戶相關的該類數(shù)據(jù)的一種具體的處理方法和算法流程圖,包括基于移位連接方法的多屬性時間序列的挖掘算法,基于apriori算法的空間關聯(lián)規(guī)則數(shù)據(jù)挖掘方法以及關于移動用戶移動模式的時空數(shù)據(jù)挖掘方法,并用matlab對其中的規(guī)則更新算法和時間序列的挖掘算法這兩方面進行了實例仿真。
Program of the remote communication and diagnosis this integrated system based on isa has many strongpoints . when compared with single system . first of all , it integrated a whole computer system to an intelligent control - card , and so saved lots of hardwares . secondly , all sorts of data such as every layer ' s parameter of tension control patameter of display and all history log are transmitted by isa bus 基于isa總線的嵌入式智能型張力控制系統(tǒng),和獨立的張力控制系統(tǒng)相比,有很多優(yōu)點。首先,它將原來一整套計算機系統(tǒng)集成在一塊智能板卡上,省去了大量的硬件;其次,纏繞過程中的各層張力參數(shù),張力顯示參數(shù),歷史數(shù)據(jù)由isa總線傳遞,其速度,可靠性大大提高;同時,軟件的開發(fā)環(huán)境大大優(yōu)于以往的系統(tǒng)。
Though all sorts of data mining system has its own advantage now , it is still not so much intelligence and needs to be improved , agent has greatly intelligence in the artificial intelligence area , intelligentize of data mining process can be realize by combining agent with data mining technology 雖然現(xiàn)有的數(shù)據(jù)挖掘系統(tǒng)各有優(yōu)勢,但從智能性方面都還不夠完美,還需進行完善。而人工智能領域中的agent ,則具有很高的智能性,將agent和數(shù)據(jù)挖掘相結(jié)合,可實現(xiàn)整個挖掘過程的智能化。
By analyzing all sorts of data involved in the drawing of plane arrangement of the contact net , the paper then presents and realizes the sub - systems of drawing data management , which includes setting up the data structure , programming and managing of the data and provides the drawing data for the whole system used for the later drawing , finally by introducing the concerned theories of the parameterized design explains the similarities and differences and their applied scope of all kinds of parameterized technologies , and by associating with the features of the plane arrangement maps of the railway contact net analyzing size restraint of contact net 它是針對鐵路接觸網(wǎng)平面布置圖的特點來完成選擇區(qū)間或站場繪制、圖紙設定、圖型設定、字符高度、圖型坐標點、繪圖基點和圖型數(shù)據(jù)文件保存路徑的設置以及布置圖的標注欄和明細表尺寸設置;緊接著通過對接觸網(wǎng)平面布置圖的繪圖中所涉及的各種類型數(shù)據(jù)進行分析,提出并實現(xiàn)繪圖數(shù)據(jù)管理子系統(tǒng),它包括建立繪圖系統(tǒng)的數(shù)據(jù)結(jié)構(gòu),對數(shù)據(jù)進行編輯管理,向整個系統(tǒng)提供繪圖數(shù)據(jù),供其后的圖形繪制使用;最后通過對參數(shù)化設計的相關理論進行介紹,闡述了各種參數(shù)化技術的異同點和適用范圍,并結(jié)合鐵路接觸網(wǎng)平面布置圖的特點具體分析了接觸網(wǎng)線路的尺寸約束。
The important model of pdm is the model of product structure management and the model of product configure management . they has been researched deeply in this article . the connection between each sort of data object associating with the product data and product configure has been analyzed 深入研究了pdm中最為重要的產(chǎn)品結(jié)構(gòu)和配置管理功能模塊,分析了與產(chǎn)品結(jié)構(gòu)和配置有關的各種數(shù)據(jù)對象間的關系,闡述了產(chǎn)品結(jié)構(gòu)樹建立的技術依據(jù)和思想,并給出了實現(xiàn)方法;研究了產(chǎn)品結(jié)構(gòu)的多視圖管理,給出了基于各種配置規(guī)則的配置模型及實現(xiàn)方法。