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71.
声光器件衍射光峰值偏转位置与输入信号频率成正比是声光频谱仪测频的基本原理,但实际中衍射的非线形效应会引起衍射光峰值偏转误差较大。为减小频率测量方差,需对衍射光强数据做相应处理。对CCD背景噪声的数字特征分析,以背景噪声数学平均值为阈值做去噪处理。根据最小二乘法原理,对衍射光强数据做一次高斯函数拟合,拟合数据与光强数据相关系数为0.997 6。在现有测试光学平台下,根据衍射光强峰值位置估计的频率测量方差为542.5 kHz2,利用拟合高斯函数中心值估计的频率测量方差为31.8 kHz2。为减小声光频谱仪频率测量方差提供了理论支持。 相似文献
72.
Small cell networks, as an important evolution path for next‐generation cellular networks, have drawn much attention. Different from the traditional base stations (BSs) always‐on model, we proposed a BSs on‐off model, where a new, simple expression for the probabilities of active BSs in a heterogeneous network is derived. This model is more suitable for application in practical networks. Based on this, we develop an analytical framework for the performance evaluation of small cell networks, adopting stochastic geometry theory. We derive the system coverage probability; average energy efficiency (AEE) and average uplink power consumption (AUPC) for different association strategies; maximum biased received power (MaBRP); and minimum association distance (MiAD). It is analytically shown that MaBRP is beneficial for coverage but will have some loss in energy saving. On the contrary, MiAD is not advocated from the point of coverage but is more energy efficient. The simulation results show that the use of range expansion in MaBRP helps to save energy but that this is not so in MiAD. Furthermore, we can achieve an optimal AEE by establishing an appropriate density of small cells. 相似文献
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74.
岩浆热液型矿床主要与中性-酸性岩浆岩类密切相关,成矿地质体较为明确,因此成矿地质体特征是该类矿床重要的找矿预测标志。我国岩浆热液型矿床可划分为壳-幔混源和壳源两大系列和6个亚系列,其中壳-幔混源岩浆热液矿床又分为Cu-Mo-Au系列、Pb-Zn-Ag多金属系列、Fe系列,壳源岩浆热液矿床分为W多金属系列、Sn多金属系列、稀有元素系列。从Fe→Cu-Mo-Au→Pb-Zn-Ag→Sn多金属→W多金属→稀有元素系列,成矿地质体特征具有一系列规律性演变:含矿岩石类型从中基性向中酸性、酸性变化和从准铝质向过铝质变化,岩浆性质从高氧化、低氧化到还原性变化。各系列矿床的成矿地质体均表现出多期次/多阶段特征,是岩浆演化晚期作用的产物。它们总体表现为小岩体,多以岩株、岩脉、岩瘤、岩枝等形式产出。各类成矿地质体的产出规模和深度不尽相同,主要与矿化类型有关,与矿床系列也存在一定关系。总体上,斑岩型、斑岩-角砾岩型矿床等高位侵入体型成矿地质体的规模较小,而夕卡岩型矿床的成矿地质体面积较大。 相似文献
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76.
无线传感网中的多类应用均需要准确的定位算法.为了降低定位成本,减少能量消耗,常采用基于接收信号强度RSS(Received Signal Strength)测距,并建立相应的方程,再利用线性最小二乘LLS(Linear Least Squares)法求解节点的位置,将此定位算法记为RSS+LLS算法.RSS+LLS算法随机选择参考节点,这有损定位精度,同时,LLS算法并没有考虑每个测距值的误差,这些不足降低算法的定位性能.为此,提出基于RSS+LLS的优化算法,记为RSS+WLS+OPT算法.该算法先通过RSS测距,并基于最小均方误差原则选择参考节点,从而提高定位精度,同时,给每个测距值引入权重系数,采用基于协方差矩阵的加权最小二乘法WLS(Weighted Least Squares)求解节点位置,进而降低了测量误差对定位精度的影响.仿真结果表明,与RSS+ LLS相比,提出的RSS+WLS+OPT算法的定位精度提高了约2米,并没有增加计算时间,降低对测距误差的敏感性. 相似文献
77.
Priyanka Dhar Maria Thornhill Hanumantha Rao Kota 《Mineral Processing and Extractive Metallurgy Review》2019,40(6):380-389
ABSTRACTNorway has seen an upsurge of interest in exploiting its mineral deposits during the last decade. One of the major areas of interest is a huge copper deposit, operated by Nussir ASA located in the Repparfjord tectonic window in the Caledonides of west Finnmark. Nussir ASA is evaluating the Nussir and Ulveryggen mineral resources that contain copper sulfides with a small amount of gold and silver bearing minerals. The performance of flotation operations is generally evaluated on the basis of degree of liberation of minerals or the surface interactions between the collector and mineral. Firstly, size-by-size mineralogical characterization of the flotation feed and cumulative final product using Zeiss automated mineralogy techniques (Mineralogic) revealed that mineral liberation heavily influenced the flotation behavior of the ore. Furthermore, in order to assess the role of pH, collector concentration and flotation time, bench scale flotation experiments were performed. The metallurgical results were maximum between pH 6 and 8 and at collector concentration 6 × 10?5 M. A correlation is established using the zeta potential and Hallimond flotation tests to assess the role of operating parameters in flotation. The distinctive role of process mineralogy and flotation chemical influence for copper mineral flotation of Nussir ore is presented in this article. 相似文献
78.
Classification process plays a key role in diagnosing brain tumors. Earlier research works are intended for identifying brain tumors using different classification techniques. However, the False Alarm Rates (FARs) of existing classification techniques are high. To improve the early-stage brain tumor diagnosis via classification the Weighted Correlation Feature Selection Based Iterative Bayesian Multivariate Deep Neural Learning (WCFS-IBMDNL) technique is proposed in this work. The WCFS-IBMDNL algorithm considers medical dataset for classifying the brain tumor diagnosis at an early stage. At first, the WCFS-IBMDNL technique performs Weighted Correlation-Based Feature Selection (WC-FS) by selecting subsets of medical features that are relevant for classification of brain tumors. After completing the feature selection process, the WCFS-IBMDNL technique uses Iterative Bayesian Multivariate Deep Neural Network (IBMDNN) classifier for reducing the misclassification error rate of brain tumor identification. The WCFS-IBMDNL technique was evaluated in JAVA language using Disease Diagnosis Rate (DDR), Disease Diagnosis Time (DDT), and FAR parameter through the epileptic seizure recognition dataset. 相似文献
79.
《Oil and Energy Trends》2020,45(8):19-23
Current data on crude oil, field/lease condensate, and natural gas liquids produced from NGL plants. Updated on a monthly basis. 相似文献
80.
Mariame Amine Abdellatif Kobbane Jalel Ben‐Othman Abdellaziz Walid 《International Journal of Communication Systems》2020,33(8)
Recently, academic and industrial research communities are paying more explicit attention to the 5G multiple radio access technology ultra‐dense networks (5G multi‐RAT UDNs) for boosting network capacity, especially in UD urban zones. To this aim, in this paper, we intend to tackle the user association problem in 5G multi‐RAT UDNs. By considering the decoupled uplink/downlink access (DUDA), we divide our user association problem into two distinct subproblems representing, respectively, the uplink and the downlink channels. Next, we formulated each one as a nonlinear optimization problem with binary variables. Then, to solve them, we were restricted by the hard complexity, as well as the hard feasibility of centralized user association schemes. Thus, to resolve our user association problem in a reasonable time and distributed manner, we formulated each subproblem as a many‐to‐one matching game based on matching theory. Next, we provide two fully distributed association algorithms to compute the uplink and downlink stable matching among user equipments (UEs) and base stations (BSs). Simulation results corroborate our theoretical model and show the effectiveness and improvement of our achieved results in terms of the overall network performance, quality of service (QoS), and energy efficiency (EE) of UEs. 相似文献