預報器 的英文怎麼說
中文拼音 [yùbàoqì]
預報器
英文
predictor-
They also measured handgrip strength, a predictor of future disability
他們也測量了握力，這是將來失能的一個預報器。Hi this thesis, the technique of detector array is used to obtain the location of anomalous infrasound, it is the basic of the study of prediction of earthquake. to derive useful information by using spectrum analysis on infrasonic signal. then combing with other methods a forecast could be made
本課題主要是利用數字技術，採用用傳感器陣列計算異常次聲波波源的方位，這是今後預測震中位置研究的前提；並對次聲信號進行頻譜分析，提取有用的關于臨震次聲方面的信息，再結合其他的預報方法，作出準確的地震預報。During the adjustment. it decided the amount and the rate of humidification. the system can test the states of water level by water lever sensor, thereby the main control module can control the entrance and drain of water and give warnings ; as its good man - machine interaction, the system can expediently set the humidity and the amount of humidification and control water - in valve and leading winds through control panel. the system can communicate with computer thereby the net supervise is enabled
本系統主要能夠完成以下功能：採集空氣中的濕度狀態，並送入主控模塊，主控模塊根據現有的濕度判斷是保持原來狀態還是進行加濕以及加濕量的大小和加濕速度等；能夠通過水位傳感器測試水位的狀態，從而通過主控模塊控制進水、排水、預報警、報警等；具有良好的人機交互性，能夠通過控制面板比較方便地進行濕度設定、加濕量設定、進水閥的控制、導風的控制等；能夠和上位機進行通信，從而實現網路監控。The effect of reynolds number on rudder hydrodynamic performance is also analyzed. up to the stall angle the computed lift and drag agree well with measurements and other author ' s calculations, whereas stall angle, lift and drag beyond the stall angle are slightly under - predicted. the solver is used to investigate laminar and turbulent separated flows around a 6 : 1 prolate spheroid at high incidence angles and their effects on hydrodynamic forces
應用所開發的求解器，以naca0015翼型舵為算例計算了船舵在不同雷諾武漢理三;大學博士學位論文數下大舵角范圍內的三維粘性流場及水動力，成功地預報了舵的失速角和最大升力，並初步探討了雷諾數對舵水動力的影響;計算結果與現有試驗和計算數據比較，吻合程度相當好，初步檢驗和驗證了該求解器精確模擬粘性流動和計算水動力的能力。Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created
神經網路控制是智能控制的重要方式之一，它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法（ bp演算法） ，特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次，應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器，作為引入神經網路控制的設計基礎，並建立了系統的模擬模型。Defa group is comprised of several fields like automotive ( engine heaters, interior heaters and battery charges for cars and trucks ) ; security ( alarm and tracking systems for cars, trucks, motorbikes and boats ) and lighting ( tunnel light, street light, flood light and other decorative light products )
帝發集團下屬三個事業部，汽車附件事業部負責汽車發動機預熱系統和電池充電器的研發與生產；安保事業部負責汽車、摩托車和輪船的警報器與跟蹤系統的研發及生產；照明系統事業部負責研發製造各種隧道燈、路燈、射燈及其它裝飾燈具等。Defa group is comprised of several fields like automotive ( engine heaters, interior heaters and battery ges for cars and trucks ) ； security ( alarm and tracking systems for cars, trucks, motorbikes and boats ) and lighting ( tunnel light, street light, flood light and other decorative light products )
帝發集團下屬三個事業部，汽車附件事業部負責汽車發動機預熱系統和電池充電器的研發與生產；安保事業部負責汽車、摩托車和輪船的警報器與跟蹤系統的研發及生產；照明系統事業部負責研發製造各種隧道燈、路燈、射燈及其它裝飾燈具等Based on perspective model, it was proposed that drawing camera inner parameters with physics method ; in image processing, especially the particularity of robot object localization and tracking, it was proposed that several effective methods of image smoothing and sharpening, edge detection, boundary tracking ; at the same time, in order to complete object recognition, we introduced the methods of drawing object character parameters ; in object image matching, two kinds of effective object matching arithmetic was proposed ; based on the principle of object 3d information restoration, we proposed two kinds of arithmetic of 3d coordinate restoration of object feature points, and completed object movement parameters estimate and object tracking and prediction, and presented experimental result
以透視成像模型為基礎，提出了用物理方法來提取攝像機內部參數；從圖像處理角度出發，針對機器人目標定位與跟蹤的特殊性，提出了幾種行之有效的圖像平滑、銳化、邊緣提取以及邊界跟蹤的方法；同時，為了完成目標的識別，介紹了目標特徵參數的提取方法；在目標圖像匹配上，提出了兩種快速有效的目標匹配演算法；基於目標深度信息恢復原理，提出兩種目標特徵點三維坐標恢復的方法，同時完成了目標運動參數估計和目標的跟蹤與預報，並最後給出了實驗結果。This predictor has a high prediction speed, and the false alarm rate and missing alarm rate can be adjusted randomly. the method is simply and universalizable
同時該預報器還具有速度快、誤檢率和漏檢率可人為調整的特點;設計方法簡單。In the second part, firstly, the mathematical model for predicting hydrodynamic characteristics of varivec propeller under steady or unsteady condition are present, based on the general propeller lifting - surface theory, potential flow theory and green theorem. then, theoretical calculation methods for predicting hydrodynamic characteristics of varivec propeller designed above paragraphs are present, based on the finite basic solution method, the unsteady vortex lattice method and hess - smith method
在理論計算部分，本文首先基於常規螺旋槳升力面理論、勢流理論和格林定理建立了定常和非定常狀態下全方向推進器水動力性能計算的數學模型，然後利用有限基本解法、非定常渦格法和赫斯?史密斯方法對全方向推進器定常和非定常狀態下的數學模型進行了數值離散，接下來針對前面所設計的全方位推進器進行了數值預報。Test technique of acoustic excitation presented in this paper can discriminate if the adhesive structure is intensional enough to endure certainty draw strength, through a series of process, for example bringing draw strength to bear on adhesive structure. testing signal through microphone array, choosing signal ' s character, recognizing automatically through manual nerve network, and so on
本文介紹的粘接構件聲激勵檢測方法，通過對粘結結構施加微力、陣列傳聲器檢測信號、信號的特徵提取、人工神經網路的分類識別等一系列過程，完成了粘接結構承受拉脫力合格與否的無損預報。Its major facilities include a dedicated apron for aircraft parking, an executive terminal, a 23, 800 square - foot hangar, aircraft and avionics service bays, refuelling equipment, a maintenance base, weather and flight briefing room and a business centre for travellers, making it the first of its kind in the region
主要設施包括專停機坪客運中心23 ， 800平方尺的飛機庫航機及電子儀器維修服務燃油補給設施維修基地氣象預報兼飛行計劃編制中心及旅客商務中心，是區內首個擁有上述裝備的商用航空中心。At the present time the prediction method of attracting pest with black light and recognizing and counting by man is generally adopted. there are some serious shortages such as bad recognition accuracy and low efficiency. it reduces seriously accuracy and timeliness of prediction and is disadvantage in guiding insect disease prevention
目前普遍採用的黑光燈誘集害蟲、人工識別計數的測報方法，存在識別準確性差、效率低等嚴重缺陷，極大地降低了測報的準確度和時效性，不利於指導農田害蟲的防治工作，因此本文提出了基於機器視覺和小波分析的圖像識別技術，用於農田害蟲的自動檢測預報。This system is composed of the signal testing unit ( including leaning wheel unit and sensor unit ), the signal handling and analyzing unit ( szo type digital analyzing instrument with multiple function in intellectual diagnosing and controlling ) and the digital display, alarming and controlling unit ( including dsb - 113 type digitally early warning and alarming unit with multiple function and controlling point )
系統主要由信號檢測單元（包括靠輪單元和傳感器單元） 、信號處理與分析單元（ szo型智能診斷、控制用數字多功能分析儀單元）和數字顯示、預警、報警、控制單元（包括dsb - 113型多功能數字預、報警單元和控制單元）組成。A multi - block incompressible viscous flow solver has been developed that can be applied to simulation of a variety of ship maneuvering related flows and calculation of hydrodynamic forces. validation and verification of the solution procedure are carried out on several model problems with good agreement to experimental and numerical results. the present block - structured viscous flow solver is based on solving the reynolds - averaged navier - stokes ( rans ) equations with a second - order cell - centered finite volume method ( fvm ) on non - staggered grids
本文即在這種背景下，瞄準船舶操縱水動力預報方面的國際前沿和熱點課題，通過對現代船舶粘性流計算方法的研究，自主開發了一個船舶操縱粘性流求解器，並將所開發的求解器成功地應用於一系列和船舶操縱問題相關的粘性流動與水動力計算，得到了令人滿意的結果。On the basis of studying the theory of mrp ii, jit and the analysis of state and requirement of the production planning management in machine and dynamicale filiale of china national south aeroengine & machnery company, this article presents a production planning management mode which suits ( he state of the factory, and researches the architecture, function model, information model of the production planning management system running on client / server network. and accomplishes the production planning management system of electric lamp - house equipment which is a mrp application system and meets the requirement of our plant. using the system we can manage production plans and get the information of material short in time. a right management module is given to achieve system security satisfactorily
本文在研究mrp 、 jit理論和分析南方公司機動分公司生產計劃管理現狀和需求的基礎上，提出了一種適合於廠情的生產計劃管理模式，研究了在客戶服務器網路環境下生產計劃系統的體系結構、功能模型、信息模型；通過採用可視化、面向對象的快速開發工具成功地開發了適合於本公司實際需要的mrp應用系統? ?電光源設備生產計劃管理系統，實現了計算機輔助生產計劃管理、缺件情況定時預報等功能；通過用戶權限管理，較好地解決了系統的安全性問題。Applications of their to self - tuning filtering are given, where the steady - state kalman tracking filter with the position and velocity measurements, and multivariable self - tuning tracking predictor, filter and smoother are presented
給出了它們在自校正濾波中的一些應用。其中包括帶位置和速度觀測的穩態kalman跟蹤濾波器和多變量自校正跟蹤預報器、濾波器和平滑器。Then, because of the characteristic of complex engineering systems like fighters, such as modeling difficulty, multiplicity work situations, difficulty and expensiveness for test, a new kind of fast fault predictor is designed based on an improved k - nearest neighbor method, which neither need math model of system nor need data for train and knowledge
其次，針對殲擊機等復雜工程系統建模困難、工作情況多樣、試驗困難且代價高昂的特點，提出了一種改進k近鄰密度估計方法，設計了一種完全既不需要系統數學模型也不需要故障訓練數據和先驗知識的實時故障預報器。No significant differences were found for the validity of the ability tests, and when peer ratings were used as predictors, only 16 out of 84 pairs of validity coefficients showed a statistically significant fifference
能力測試的有效性並無顯著差異，當同等級別被設置為預報器時，在84對有效系數之外，僅有16對有效系數顯示差異顯著。Neutral network can learn from examples and has a strong ability of studying. however, it is a set of no models. to make neutral network " s results satisfied, it needs a lot of trained data
神經網路可以從例子中學習，具有很強的自適應學習能力，但由於神經網路模型是無模型的預報器，因此要使學習結果滿意，需要很多數據進行訓練。分享友人