基于MATLAB的赫尔默特方差分量估计法实现

本文通过对赫尔默特方差分量估计法的理论、模型和算法的研究,应用MATLAB平台,使用MATLAB语言编写程序,开发出通用的模块,制作可视化界面,操作简单,减少了测绘工作的内业工作量,提高了工作效率,并可作为其他平差问题编程的参考,此模块具有极高的实际意义和应用价值。     

Estimation of a Nonlinear Intervention Phase Trajectory for Multiple-Baseline Design Data

A multilevel logistic model for estimating a nonlinear trajectory in a multiple-baseline design is introduced. The model is applied to data from a real multiple-baseline design study to demonstrate interpretation of relevant parameters. A simple change-in-levels (ΔLevels) model and a model involving a quadratic function (Quadratic) for the nonlinear intervention phase data were also estimated. In addition, a simulation study was conducted to assess Markov chain Monte Carlo estimation of the logistic model and compare its trajectory recovery with use of the ΔLevels and Quadratic models. While most of the logistic model's parameter values were recovered well, trajectory recovery was very reasonable using the simpler Quadratic model. Results are discussed along with recommendations for practitioners and directions for future research.     

碲锌镉晶体生长技术的研究进展

碲锌镉单晶体是近年发展起来的一种性能优异的三元化合物晶体材料,具有良好的光电性质,被广泛用于制作核辐射探测器、红外探测器外延衬底等而引起了越来越多的研究者重视。研究碲锌镉晶体生长方法,对于低成本制备大体积、高质量的碲锌镉单晶体具有重要意义。数值模拟的发展,加深了对各种生长碲锌镉单晶体技术的认识,对加大碲锌镉单晶生长及应用的研究具有重要的意义。     

一种改进的DV-HOP算法在WSN中的定位研究

如何能够更好的提高节点定位一直都是WSN研究的重点,本文在DV-HOP定位算法的基础上,从误差精度,锚节点稳定度和反向学习选择-最小二乘估计来对节点定位的3个方面进行改进。首先在定位误差精度中引入混沌优化算法,其次在锚节点处理中引入稳定度概念,最后在未知节点定位中引入反向学习和最小二乘估计。改进后的算法在通信半径和拓扑结构两个方面进行了仿真实验,实验表明,本文算法能够有效的减少计算带来的定位误差,提高定位精度。     

丝绸之路经济带旅游业格局与国际旅游合作模式研究

借助ArcGIS10.0工具,采用核密度估计法对欧亚非三大洲65个国家旅游资源和旅游经济的空间格局特征进行分析,发现丝绸之路经济带旅游资源分布与旅游经济发展在空间上存在较高一致性,旅游资源主要集中于西端的欧洲区和东端的亚太区,且沿海、沿河、沿交通线分布趋势明显;旅游经济发展呈现"两心三带"格局特征,海上丝绸之路和第二、三亚欧大陆桥两端的新兴经济体国家和欧洲发达国家占据主导地位。基于以上分析,本文构建了丝绸之路国际旅游经济带合作模式,并提出组建丝绸之路国际旅游联盟,打造丝绸之路国际旅游文化产业带,建设丝绸之路国际无障碍旅游区和国际旅游经济特区,搭建丝绸之路国际旅游城市网络等政策建议与措施。     

湖北省耕地资源净外部性价值量测算及财政转移支付

耕地资源既能产生生态效益,为整个社会提供生态福利,具有正外部性,同时也会因为不合理利用而损坏人类的福利,产生负外部效应。仅仅估算耕地的正外部性价值量,可能会高估耕地保护经济补偿额,不利于耕地保护政策的实施。本文以湖北省102个县(市、区)为例,分别测算了耕地的正外部性和负外部性价值量,进而得出耕地的净外部性价值量;此外,通过测算各区域内部的外部性需求量得出耕地保护的外部性盈亏水平,并据此实施跨区域的财政转移支付,以均衡各区域的发展。研究结果表明:①湖北省大部分地区的耕地对外界环境均起到了正面影响,但省内耕地资源的净外部性水平差异明显;②扣除区域内部的外部性需求量,湖北省共有41个县(市、区)耕地保护的外部性有盈余,属于财政转移支付受偿区;同时,共有61个县(市、区)耕地资源的外部性处于亏损状态,属于财政转移支付支付区;③财政转移支付行为具有一定的现实可操作性。各个县(市、区)的转移支付额占当年地方政府财政收入的比例较低,约为0.007%~5.030%,均在政府可承受的范围内。研究成果为耕地保护经济补偿政策的实施提供了一定的理论依据。     

Information resources estimation for accurate distribution-based concept drift detection

Machine learning applications must continually utilize label information from the data stream to detect concept drift and adapt to the dynamic behavior. Due to the computational expensiveness of label information, it is impractical to assume that the data stream is fully labeled. Therefore, much research focusing on semi-supervised concept drift detection has been proposed. Despite the large research effort in the literature, there is a lack of analysis on the information resources required with the achievable concept drift detection accuracy. Hence, this paper aims to answer the unexplored research question of “How many labeled samples are required to detect concept drift accurately?” by proposing an analytical framework to analyze and estimate the information resources required to detect concept drift accurately. Specifically, this paper disintegrates the distribution-based concept drift detection task into a learning task and a dissimilarity measurement task for independent analyses. The analyses results are then correlated to estimate the required number of labels within a set of data samples to detect concept drift accurately. The proximity of the information resources estimation is evaluated empirically, where the results suggest that the estimation is accurate with high amount of information resources provided. Additionally, estimation results of a state-of-the-art method and a benchmark data set are reported to show the applicability of the estimation by proposed analytical framework within benchmarked environments. In general, the estimation from the proposed analytical framework can serve as guidance in designing systems with limited information resources. This paper also hopes to assist in identifying research gaps and inspiring new research ideas regarding the analysis of the amount of information resources required for accurate concept drift detection.     

基于四阶累积量的CSPRIT算法

分析了基于二阶统计的CSPRIT算法在空间相关高斯噪声环境中存在的问题，提出将四阶累积量与CSPRIT算法相结合，处理一维二元相移键控信号（BPSK）和多元幅移键控信号（MASK），实现信号到达角（DOA）的估计和波束形成器的构造。与基于二阶统计的CSPRIT算法相比，基于四阶累积量的改进算法能够有效抑制空间相关的高斯噪声，提高信号估计精度。计算机仿真验证了该算法的有效性。     

A novel controller design and evaluation for networked control systems with time-variant delays

A new delayed state-variable model for networked control systems is presented, upon which a linear quadratic regulator (LQR) is designed. A method of delays-estimation online is also given. A fuzzy logic with LQR controller is addressed for the difficulty on implementation of LQR in networked control systems (NCSs) with time-variant delays. Simulation results prove that the novel controller can make the system stable and robustly preserve the performance in terms of time-variant delays.     

Estimation of 2-D ARMA model parameters by using equivalent AR approach

In this paper, the problem of estimating the parameters of a two-dimensional autoregressive moving-average (2-D ARMA) model driven by an unobservable input noise is addressed. In order to solve this problem, the relation between the parameters of a 2-D ARMA model and their 2-D equivalent autoregressive (EAR) model parameters is investigated. Based on this relation, a new algorithm is proposed for determining the 2-D ARMA model parameters from the coefficients of the 2-D EAR model. This algorithm is a three-step approach. In the first step, the parameters of the 2-D EAR model that is approximately equivalent to the 2-D ARMA model are estimated by applying 2-D modified Yule-Walker (MYW) equation to the process under consideration. Then, the moving-average parameters of the 2-D ARMA model are obtained solving the linear equation set constituted by using the EAR coefficients acquired in the first step. Finally, the autoregressive parameters of the 2-D ARMA model are found by exploiting the values obtained in first and second steps. The performance of the proposed algorithm is compared with other 2-D ARMA parameter and spectral estimation algorithms available in the technical literature by means of three different criteria. As a result of this comparison, it is shown that the parameters and the corresponding power spectrums estimated by using the proposed algorithm are converged to the original parameters and the original power spectrums, respectively.