施肥模型研究综述

对施肥模型和参数研究的历史、现状和趋势进行了综述,并指出今后定量施肥研究的关键问题。     

塔顶放大器在工程设计中的应用探讨

塔顶放大器在移动通信领域有较为广泛的应用，它通过降低(改善)等效接收噪声系数，从而提高上行接收灵敏度。本文将简要介绍塔顶放大器的应用和提高接收机灵敏度的计算。     

Distributed Optical Fiber Sensor for Multi-point Temperature Measurement

The distributed optical fiber sensing technology is overviewed, which is based on Raman scattering light theory. Basic operation principle, structure, system characteristics and signal processing are discussed. This structure and method of the signal processing possess of certain spatial resolution, hence will ensure the practicability of system.     

MC-CDMA系统迭代检测中的一种信道估计算法

在DS—CDMA系统中，联合译码的迭代多用户检测是克服多址干扰增加系统容量的有效方法。本文将多用户检测和译码相结合的迭代检测技术应用于MC—CDMA系统，其中，多用户检测器由串行干扰消除和其后的MMSE滤波器组成。文中提出一种时域信道估计作为迭代初始值的频域信道估计算法，比单纯的频域信道估计方法节约导频符号数量，并且由于信道估计性能的改善，加快了迭代检测的收敛速度。     

API长圆螺纹套管抗粘结性能的试验研究

通过对国内外大量石油套管螺纹参数的测量和全尺寸的模拟试验，以及对测量和试验数据的理论分析，找出了影响国产套管发生粘扣的原因，并在实际生产中实施验证。采取相应的措施改善了套管的抗粘结性能，同时套管的密封和抗滑脱性能并未下降。     

Modeling of Temperature–Frequency Correlation Using Combined Principal Component Analysis and Support Vector Regression Technique

A good understanding of environmental effects on structural modal properties is essential for reliable performance of vibration-based damage diagnosis methods. In this paper, a method of combining principal component analysis (PCA) and support vector regression (SVR) technique is proposed for modeling temperature-caused variability of modal frequencies for structures instrumented with long-term monitoring systems. PCA is first applied to extract principal components from the measured temperatures for dimensionality reduction. The predominant feature vectors in conjunction with the measured modal frequencies are then fed into a support vector algorithm to formulate regression models that may take into account thermal inertia effect. The research is focused on proper selection of the hyperparameters to obtain SVR models with good generalization performance. A grid search method with cross validation and a heuristic method are utilized for determining the optimal values of SVR hyperparameters. The proposed method is compared with the method directly using measurement data to train SVR models and the multivariate linear regression (MLR) method through the use of long-term measurement data from a cable-stayed bridge. It is shown that PCA-compressed features make the training and validation of SVR models more efficient in both model accuracy and computational costs, and the formulated SVR model performs much better than the MLR model in generalization performance. When continuously measured data is available, the SVR model formulated taking into account thermal inertia effect can achieve more accurate prediction than that without considering thermal inertia effect.     

硫酸盐浆厂污水处理工程及单元技术特点

本文简略介绍云南某硫酸盐浆厂污水处理工程采用的国内不多见的污水单元技术，并对其先进性和实用性效果进行评价和探讨。     

基于PSR模型的水电工程生态效应评价指标体系构想

从水电工程生态效应评价指标体系研究的意义出发,通过分析水电工程生态效应评价的内涵,确立了评价指标的选取原则,基于压力(Pressure)-状态(State)-响应(Response)概念模型,构建了以科学、实用和可操作为目标的评价指标体系的框架。     

东江水库诱发地震探讨

阐述了东江水库基本情况，通过对库区及周围的地质构造特点、诱发地震监测，总结出东江水库地震的活动特征和诱发地震活动趋势。     

Stochastic nonlinear stabilization — II: Inverse optimality

After considering the stabilization of a specific class of stochastic nonlinear systems in a companion paper, in this second part, we address the classical question of when is a stabilizing (in probability) controller optimal and show that for every system with a stochastic control Lyapunov function it is possible to construct a controller which is optimal with respect to a meaningful cost functional. Then we return to the problem from Part I and design an optimal backstepping controller whose cost functional includes penalty on control effort and which has an infinite gain margin.