照明有效系數 的英文怎麼說

中文拼音 [zhàomíngyǒuxiàoshǔ]
照明有效系數 英文
lighting effectiveness factor
  • : Ⅰ動詞1 (照射) illuminate; light up; shine 2 (反映) reflect; mirror 3 (拍攝) take a picture ...
  • : 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...
  • : 有副詞[書面語] (表示整數之外再加零數): 30 有 5 thirty-five; 10 有 5年 fifteen years
  • : Ⅰ名詞(效果; 功用) effect; efficiency; result Ⅱ動詞1 (仿效) imitate; follow the example of 2 ...
  • : 系動詞(打結; 扣) tie; fasten; do up; button up
  • : 數副詞(屢次) frequently; repeatedly
  • 照明 : lighting; illumination; clearing luminary; enlighten; throw light on; emblaze
  • 有效 : effective; valid; efficacious
  • 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

    網路取證是對現網路安全體的必要擴展,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:如網路產生的海量據;從已收集據中提取的證據的可理解性;證據分析方法的性等.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方法的對分析結果.實驗結果表,該統可以對大多網路事件進行識別(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的證據分析
  2. In this paper introduced the study of fuzzy controller which was used for co2 supplying control from co2 source - high - pressure steel tin to culture box, studied the control of relative humidity and co2 concentration in the culture box and effects of co2 enrichment ( enrichment concentration was 900 - 1100mol mol - 1 ) on the growth of chrysanthemum plantlet and tried to clean the air in the culture box by cycling the results indicated that this environment control system operates normally and reliably. it can keep the co2 concentration and relative humidity in setting scope ; it is good to the growth of the culture plantlets to clean the air in culture box by cycling ; co2 enrichment can promote the growth and photosynthetic and can increase the percentage of shooting the number of new leaves of the chrysanthemum plantlet cultured under co2 - enriched condition is 1. 85 times of the plantlet cultured under co2 - nonenriched condition ; the number of the roots of the chrysanthemum plantlet cultured under co2 - enriched condition 5. 67 times greater compared with the plantlet cultured under co2 nonenriched condition

    結果表:所研製的無糖組培微環境co _ 2增施監控統工作正常、穩定、可靠,能地將組培箱內的co _ 2濃度及其相對濕度控制在設定范圍內;用箱外循環法對箱內氣體凈化處理后,改善了組培箱內的氣體環境,利於組培苗的生長發育; co _ 2富集環境中,組培苗生長健壯、發育良好,生根率顯著提高,根發達。本實驗條件下,處理組菊花組培苗的新增葉片是對組的1 . 85倍;處理組的根總長是對組的10 . 6倍;處理組根是對組的6 . 67倍。
  3. The paper analyses the control principle of general several intelligent lighting control methods, analyses their advantages 、 disadvantages, applications, and the proceedings should be paid attention to in the applications ; analyzes the characters and applicable scope of common several interior illumination calculation methods ( the point method 、 the coefficient of utilization method 、 the unit capacity method ), designs a lighting system for a living room ; and brings forward to the system function of easy home lighting intelligent control system, studies design ways of its software and hardware. the system uses at89c51 micro - controller, programs with assemble language, uses effective anti - jamming measures to ensure it operates reliably

    論文分析了現常用的幾種智能控制方式的控制原理,優、缺點,使用場合,以及在使用中應注意的事項;分析了常用室內度計算的幾種方法(逐點法、利用法、單位容量法)的特點和適用范圍,設計了某一起居室的統;並提出小康住宅智能控制統的統功能,研究了該統的軟、硬體設計方法,採用at89c51微處理器作為控制器,用匯編語言編程,並採取的抗干擾措施以確保其運行可靠性。
  4. At first, we design a nonlinear parameterized scheme of planetary albedo, and put forward a multiple - parameter zero - dimensional climatic model on the basis of zero - dimensional energy balance model. using it to qualitatively discuss the impact of earth effective radiance, planetary albedo and atmospheric transmittivity on the climatic system behaviour, and analyze the stochastic process of this system later

    本文首先在零維能量平衡模式基礎上,設計了一種行星反率的非線性參化方案,提出了一個多參非線性零維氣候模式,用於定性地討論說地面輻射率、行星反率和大氣透狀況對氣候統性態行為的影響,最後分析了統的隨機過程。
  5. 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,提出了一列解決方法,包括針對降低龐大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,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統,給出了實驗結果。
  6. The main works are described as follows : ( 1 ) we have summarized the latest research achievements and development of fractal theory and the applications in image processing domain and discussed and studied the definition, principle and algorithm of fractal and fractal dimension ; ( 2 ) aiming at the disadvantages of dfbr based edge detection method, an algorithm based on fractal intercept feature was put forward ; moreover, aiming at the bad anti - noise performance of traditional methods, a edge evaluation method was introduced to evaluate the performance of the algorithm and that of sobel - based algorithm quantificationally ; ( 3 ) furthermore, we proposed a novel method based on slope feature and intercept feature, then compared the performance with that of intercept - based method

    通過對近年來國內外學術界對分形理論及其在圖像處理領域相關應用問題的研究成果和最新進展的搜集、整理和總結,對分形及分形維的定義、原理、演算法以及在圖像處理上的應用進行了較為統的研究和探討; 2針對基於dfbr場邊緣檢測典型演算法的缺點,採用了一種基於分形截距特徵的圖像邊緣檢測演算法,取得了較為滿意的結果;並針對傳統方法抗噪性能差的缺點,引入一種基於參圖的邊緣評價方法,並對此演算法性能與傳統sobel演算法進行定量分析對比,實驗證該演算法是的; 3
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