间歇式活性污泥法处理制革废水工程实例研究

介绍了由传统活性污泥法转换为间歇式活性污泥法处理制革废水的工程实践、运行工序及运行结果。转换后废水处理能力由700m^3/d提高到1200m^3/d，处理水达到国家排放标准。     

彩色涂料印花色浆罩印性能的研究

介绍了涂料印花罩印助剂的制备和应用，通过对涂料罩印浆的物理化学性能的研究，探讨了提高罩印效果的途径及罩印助剂颗粒的物理化学性质对罩印效果的影响。     

Mn对SrTiO3基电容—压敏陶瓷非线性系数的影响

介绍了ＳｒＴｉＯ３基电容－压敏陶瓷研究的国内外进展，从理论和实验出发研究了Ｍｎ对ＳｒＴｉＯ３基电容－压敏陶瓷非线性系数的影响，并得到了一些有益的结论。     

用运动链图求解多杆机构瞬心的方法

介绍了一种简便的，用运动链的图直观地判断多杆机构瞬心求解顺序的方法，及其应用．     

山岭区高速公路线形设计初探

本文对山岭区高速公路设计中与平原区设计不同之处从几个方面做了探讨和说明。     

On mathematical arbitrariness of some papers on the potential homologous linear rule investigation

The history of homologous linear rule investigation is reviewed simply. The author puts forward a problem worth paying attention to in the recent potential homologous linear rule investigation, especially some mistakes made in these investigations on mathematical foundations. The author also exposes the mathematical arbitrariness of some papers on their potential homologous linear rule investigation.     

松嫩平原海伦农区种植业与草食动物兼营规模及效益分析

根据松嫩平原农区特点，运用经济分析的方法，对国家农业攻关和重大项目海伦试验基地基点村－胜利村的种植业怀草食动物兼营户的经济效益、规模进行评估分析。在目前生产力水平下，松嫩平原农区兼户的经济效益普遍高于单一种植业户，其生产规模：种植业２ｈｍ＾２－４ｈｍ＾２养牛４－６头 。     

尼龙织物回归反射整理的丝印研究

研究了溶剂型回归反射印花浆在尼龙塔夫绸上的平网印制方法，探讨了影响回归反射效果和印制效果的一些因素，如玻璃微珠和粘合剂的配比，丝网目数和不同的彩色反光层等。对不同类型的溶剂型粘合剂进行了优选。     

RBF神经网络在煤的热解特性研究中的应用

在MATLAB5．3环境下，利用神经网络工具箱中的RBF神经网络算法，通过煤的元素分析和工业分析对煤的热解特性进行了研究，对热解析温度T1，最大反应速度对应的温度T1max，热解前期热解量G1以及热解完成时间 t进行了预报，预测结果表明用RBF神经网络来研究煤的热解特性，可以达到较高精度，是一种很好的研究方法。     

Performance comparison of distributed state estimation algorithms for power systems

A newly proposed distributed dynamic state estimation algorithm based on the maximum a posteriori (MAP) technique is generalised and studied for power systems. The system model involves linear time-varying load dynamics and nonlinear measurements. The main contribution of this paper is to compare the performance and feasibility of this distributed algorithm with several existing distributed state estimation algorithms in the literature. Simulations are tested on the IEEE 39-bus and 118-bus systems under various operating conditions. The results show that this distributed algorithm performs better than distributed quasi-steady state estimation algorithms which do not use the load dynamic model. The results also show that the performance of this distributed method is very close to that by the centralized state estimation method. The merits of this algorithm over the centralized method lie in its low computational complexity and low communication load. Hence, the analysis supports the efficiency and benefits of the distributed algorithm in applications to large-scale power systems.