重點照明系數 的英文怎麼說

中文拼音 [zhòngdiǎnzhàomíngxìshǔ]
重點照明系數 英文
accent lighting factor
  • 重 : 重Ⅰ名詞（重量; 分量） weight Ⅱ動詞（重視） lay [place put] stress on; place value upon; attach im...
  • 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「、」）...
  • 照 : Ⅰ動詞1 （照射） illuminate; light up; shine 2 （反映） reflect; mirror 3 （拍攝） take a picture ...
  • 明 : Ⅰ形容詞1 （明亮） bright; brilliant; light 2 （明白;清楚） clear; distinct 3 （公開;顯露在外;不隱...
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 重點 : keynote; key point; focal point; stress; emphasis
  • 照明 : lighting; illumination; clearing luminary; enlighten; throw light on; emblaze
  • 系數 : [數學] coefficient; ratio; modulus; quotient; factor
  1. Network forensics is an important extension to present security infrastructure, and is becoming the research focus of forensic investigators and network security researchers. however many challenges still exist in conducting network forensics : the sheer amount of data generated by the network ; the comprehensibility of evidences extracted from collected data ; the efficiency of evidence analysis methods, etc. against above challenges, by taking the advantage of both the great learning capability and the comprehensibility of the analyzed results of decision tree technology and fuzzy logic, the researcher develops a fuzzy decision tree based network forensics system to aid an investigator in analyzing computer crime in network environments and automatically extract digital evidence. at the end of the paper, the experimental comparison results between our proposed method and other popular methods are presented. experimental results show that the system can classify most kinds of events ( 91. 16 ? correct classification rate on average ), provide analyzed and comprehensible information for a forensic expert and automate or semi - automate the process of forensic analysis

    網路取證是對現有網路安全體系的必要擴展，已日益成為研究的重點.但目前在進行網路取證時仍存在很多挑戰:如網路產生的海量數據;從已收集數據中提取的證據的可理解性;證據分析方法的有效性等.針對上述問題，利用模糊決策樹技術強大的學習能力及其分析結果的易理解性，開發了一種基於模糊決策樹的網路取證分析系統，以協助網路取證人員在網路環境下對計算機犯罪事件進行取證分析.給出了該方法的實驗結果以及與現有方法的對照分析結果.實驗結果表明，該系統可以對大多數網路事件進行識別（平均正確分類率為91 . 16 ? ） ，能為網路取證人員提供可理解的信息，協助取證人員進行快速高效的證據分析
  2. Greenhouse is the important part of installation agriculture. crop production in domestic and overseas greenhouses shows that advanced automation and management system for greenhouse will improve the efficiency of agriculture production. in this paper, intelligent greenhouse, as the focus of agricultural greenhouse field, is studied, and a measure and control system which can control parameters of temperature, humidity, illumination and co2 density of greenhouse is designed

    溫室是設施農業的重要組成部分，國內外溫室種植業的實踐經驗表明，提高溫室的自動控制和管理水平可充分發揮溫室農業的高效性，本文主要對當今農業溫室的研究熱點-智能溫室系統進行研究，設計了一套能實時控制溫室內溫度、濕度、光照以及co2濃度等多參數的測控系統。
  3. In the essay, discussions are focused on the transparency of database linkage and location, error management in remote control, treatment of suspending matters, referential integrity constraint, database access security and inquiry optimization

    文中，對oracle分散式數據庫系統設計與實現中的數據庫鏈接與位置透明性、遠程過程中錯誤的管理、懸而未決事務的處理、參照完整性約束、數據庫訪問的安全性以及查詢優化幾個部分重點進行了探索。
  4. 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。
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