金月芽期刊網

和“processing”相關的論文

  • Comparison of three filters in asteroid-based autonomousnavigation 相關:celestial MECHANICS -
  • At present, optical autonomous navigation has become a key technologyin deep space exploration programs. Recent studies focus on the problem of orbit de-termination using autonomous navigation, and the choice of filter is one of the mainissues. To prepare for a possible exploration mission to Mars, the primary emphasisof this paper is to evaluate the capability of three filters, the extended Kalman filter(EKF), unscented Kalman filter (UKF) and weighted least-squares (WLS) algorithm,which have different initial states during the cruise phase. One initial state is assumedto have high accuracy with the support of ground tracking when autonomous navi-gation is operating; for the other state, errors are set to be large without this support.In addition, the method of selecting asteroids that can be used for navigation fromknown lists of asteroids to form a sequence is also presented in this study. The simula-tion results show that WLS and UKF should be the first choice for optical autonomousnavigation during the cruise phase to Mars.
  • 云計算環境下多GPU資源調度機制研究 相關:云計算 GPU(graphics Processing
  • 資源調度是云計算中的關鍵問題之一,它的調度機制與算法直接影響到云計算系統的性能及成本.GPU(graphics processing unit)正越來越多地被應用到通用計算領域,作為高性能云計算系統中的特殊計算資源,對GPU計算資源的調度有其特殊性.綜合考慮計算任務在節點間以及節點內部的數據傳輸延遲,以充分利用系統GPU計算資源、掩藏傳輸延遲為目標,研究了云環境下多GPU的?傳輸&傳輸&執行?三段調度問題.提出一種云環境下GPU計算資源調度機制MGSC(Multi-GPU resource Scheduling scheme in Cloud environment):考慮了GPU計算中傳輸與計算的因素,討論了在GPU計算中出現的四種資源需求情況,建立GPU計算資源模型;為了減輕中心節點的任務處理壓力,設計了基于樹型結構的GPU資源分布式檢索算法.實驗結果說明,MGSC在滿足多用戶共享GPU計算資源的同時,能夠較好地提高云計算系統中GPU計算資源利用率,獲得較高的服務質量,有效地減少資源閑置,降低服務提供者的服務成本.
  • 雷達測距綜合實訓平臺的設計與實現 相關:AVR Arduino Uno
  • 介紹了一個典型的基于AVR架構處理器的測距實訓平臺的設計方案,處理器采用Atmel公司的ATmega328,測距雷達使用HC-SR04超聲波測距模塊,PPI顯示界面采用processing設計,通過對Arduino Uno開發板端口和庫文件的分析,以及HC-SR04驅動波形和邏輯要求的理解,實現了由ATmega328控制HC-SR04通過上位機顯示雷達測距的設計方案。
  • 機載前視陣雷達陣元誤差穩健的空時插值補償方法 相關:陣元誤差 空時插值 距離依賴性
  • 空時插值方法通過對地面雜波空時導向矢量進行插值變換,能夠有效地降低機載前視陣雷達地面雜波的距離依賴性,改善空時自適應處理器的雜波抑制性能。然而,當機載雷達接收通道存在陣元誤差時,該方法對接收的數據處理失效。針對該問題,提出一種穩健的空時插值方法,該方法在雜波空時導向矢量周圍選取約束導向矢量,然后進行插值變換,補償地雜波距離依賴性。仿真結果表明,當機載雷達接收通道存在陣元誤差時,該方法能夠有效地降低接收的地雜波數據的距離依賴性,提高空時自適應處理器的雜波抑制性能。
  • 知識輔助的機載MIMO雷達STAP非均勻樣本檢測方法 相關:機載多輸入多輸出雷達 空時自適應處理 知識輔助
  • 針對樣本協方差矩陣受干擾目標污染時機載多輸入多輸出(multiple-input multiple-output,MIMO)雷達空時自適應處理(space-time adaptive processing,STAP)目標檢測性能下降的不足,提出一種知識輔助(knowledge-aided,KA)的廣義內積非均勻樣本檢測方法。首先利用扁長橢球波函數估計的雜波子空間知識,離線構造雜波協方差矩陣,然后與廣義內積非均勻檢測器(generalized inner product non-homogeneity detector,GIP NHD)結合,實現對訓練樣本的有效選擇,使目標檢測不受訓練樣本中干擾目標的影響。仿真結果表明,相對于常規 GIP 方法,KA-GIP 方法能夠對存在干擾目標的樣本進行更加有效地剔除,并且機載 MIMO 雷達 STAP 的目標檢測性能得到顯著提升,因此更有利于實際工程應用。
  • 基于新疆準東基地水源地地下水開采方案的數值模擬 相關:地下水 數值模擬 Processing
  • 為探究新疆準東基地水源地地下水開采量可實行方案與地下水水位下降狀況,采用Processing MODFLOW軟件,對項目區進行地下水數值模擬研究。經過模擬流場形態與觀測值以及對地下水動態進行擬合,提取地下水梯度場、降速場與實測資料進行對比分析。總結得出符合該地區地下水變化的地下水開采量方案。研究表明該水源地地下水開采實施方案符合該地區水資源長期發展。
  • GPU上兩階段負載調度問題的建模與近似算法 相關:GPU(graphics Processing unit)
  • 隨著硬件功能的不斷豐富和軟件開發環境的逐漸成熟,GPU(graphics processing unit)越來越多地被應用到通用計算領域,并對諸多計算系統(尤其是嵌入式系統)性能的顯著提升起到了至關重要的作用.在基于GPU的計算系統中,大規模并行負載同時進行數據傳輸和加載的情況時常發生,數據傳輸延時在系統性能全局最優化中變得不容忽視.綜合考慮負載的傳輸時間和執行時間,以總負載makespan最小化作為系統性能的全局優化目標,研究了GPU上負載“傳輸-執行”聯合調度問題.首先,將負載的時間信息和并行任務數與矩形域的二維空間聯系起來,建立了負載的2D雙層矩形域模型;然后,將GPU上負載調度問題歸結為一類Strip-Packing問題;最后,基于貪婪策略給出了近似度為3的多項式時間近似算法,算法復雜度為O(nlogn).該近似算法的核心是對數據傳輸階段進行負載排序調度.這從理論層面上證明了GPU系統采取“傳輸。執行”兩階段調度的有效性,即,在數據傳輸階段采取負載排序調度,在負載執行階段采取先來先服務(first-come-first-serve,簡稱FCFS)調度,能夠使GPU性能達到全局最優或近似最優.
  • 基于Processing的人機交互游戲開發 相關:PROCESSING KINECT
  • 隨著數字化體驗時代的發展,人們越來越關注自然的人機交互方式。體感技術作為一種最新的交互體驗方式,也越來越多地受到人們的重視,體感技術通過多種技術手段把虛擬平臺和現實平臺相結合,實現自然地人機交互方式。本文基于Processing進可視化編程,并基于Kinect進行多目標跟蹤實現準確地識別和交互,致力于實現自然和諧、身臨其境的虛擬游戲體驗。
  • Some Aspects of Physical-mechanical Properties of Apple (Malus domestica) Cultivars for High Techniques in Manufacturing 相關:APPLE HARVEST processing
  • Several mechanical and physical properties of five apple cultivars (Black, Apricot, Jester, Big Ariane and Medium Ariane) had been estimated. The results showed that there were important significant differences among the cultivars in most of the parameters that were measured. Among the cultivars, Black cultivar had the highest fruit mass (207.65 g), followed by Big Ariane (188.34 g) and Medium Ariane (137.49 g). The actual fruit volume (cm3) ranged from 61.77 (Apricot) to 269.67 (Black). The highest geometric, arithmetic, square and equivalent mean diameter values were observed for Big Ariane. The surface area and projected area of cultivars were between 14.53-69 cm2 and 45.56-165.33 cm2, respectively. The maximum coefficient of static friction was obtained on plastic followed by steel, iron and glass; the maximum coefficient of dynamic friction was obtained on glass followed by steel, plastic and iron.
  • Research on Anti-noise Processing Method of Production Signal Based on Ensemble Empirical Mode Decomposition (EEMD) 相關:PRODUCTION SIGNAL DENOISING
  • The grain production prediction is one of the most important links in precision agriculture. In the process of grain production prediction, mechanical noise caused by the factors of difference in field topography and mechanical vibration will be mixed in the original signal, which undoubtedly will affect the prediction accuracy. Therefore, in order to reduce the influence of vibration noise on the prediction accuracy, an adaptive Ensemble Empirical Mode Decomposition (EEMD) threshold filtering algorithm was applied to the original signal in this paper: the output signal was decomposed into a finite number of Intrinsic Mode Functions (IMF) from high frequency to low frequency by using the Empirical Mode Decomposition (EMD) algorithm which could effectively restrain the mode mixing phenomenon; then the demarcation point of high and low frequency IMF components were determined by Continuous Mean Square Error criterion (CMSE), the high frequency IMF components were denoised by wavelet threshold algorithm, and finally the signal was reconstructed. The algorithm was an improved algorithm based on the commonly used wavelet threshold. The two algorithms were used to denoise the original production signal respectively, the adaptive EEMD threshold filtering algorithm had significant advantages in three denoising performance indexes of signal denoising ratio, root mean square error and smoothness. The five field verification tests showed that the average error of field experiment was 1.994% and the maximum relative error was less than 3%. According to the test results, the relative error of the predicted yield per hectare was 2.97%, which was relative to the actual yield. The test results showed that the algorithm could effectively resist noise and improve the accuracy of prediction.