电力系统故障诊断神经网络专家系统的一种实现方式

对人工神经网络和专家系统结合应用于电力系统故障诊断问题进行了研究，提出了电力 系统故障诊断神经网络专家系统的一种实现方式。该结构方案中，采用三层前向BP网络作 为 故障诊断的核心部分，与传统的专家系统相结合组成混合式的神经网络专家系统。基于该方 案建造的故障诊断神经网络专家系统综合了专家系统和人工神经网络各自的优点，充分利用 专家系统的推理判断能力和人工神经网络的学习和容错能力，比单独利用专家系统或人工神 经网络的电力系统故障诊断系统具有更好的性能。     

浅谈岱庄煤矿热电厂热工自动化系统的应用

岱庄煤矿热电厂热工自动化系统于2001年2月12日开始施工，于2001年7月2日竣工并投入使用，自投运以来，运行稳定，工作可靠，为岱庄煤矿热电厂的安全经济运行提供了可靠的保证。     

铜阳极泥选冶联合流程的特点与展望

介绍了铜阳极泥选冶联合流程的特点，分析了该流程的优点和缺点，并与传统的处理铜阳极泥的工艺进行了比较，针对联合流程存在的问题，提出了改进该流程的若干设想。     

化学反应器的定态及其稳定性分析

针对教材和专业文献中化学反应器稳定性分析方法的局限性，提出了计算机作图求解定态点的新方法，并给出全面有效的稳定性判据和分析方法，方便教学和工程应用。     

具有偏差变元的Volterra型系统的周期正解

利用Mawhin重合度理论研究了一类具有偏差变元的Volterra型系统周期正解的存在性问题，得到了一个新的存在性定理。     

包含两个内禀自旋的狄拉克方程

作者找到了一个狄拉克方程的新表象，在这个表象中，除含普通空间的自旋，还把第二内禀自旋自然地包含于方程之中，这个第二内禀自旋应该就是同位旋，并且，这个方程包含了更多的对称性，可能为解决强相互作用问题找到一条新的途径。     

考虑渗流-应力耦合基坑开挖降水数值分析

运用GTS（Geotechnical and Tunnel analysis System）软件对基坑开挖降水过程进行了详细数值模拟,对比分析了基坑开挖时,考虑降水引起的地下水渗流作用和不考虑渗流作用下的基坑周围土体位移、支护结构位移以及内力,同时分析了止水帷幕、渗透系数及降水深度对基坑力学性能的影响.分析结果表明：渗流对基坑工程影响不容忽视,深基坑稳定性分析应当充分考虑地下水渗流的作用;设置止水帷幕可以有效地减小基坑周围土体的变形,渗透系数与降水深度的加大均会使地表沉降值增大.     

Impact of Online Community Structure on Information Propagation: Empirical Analysis and Modeling

Online social networking sites (OSNS), as a popular social media platform, have been developed massively for business and research purposes. In this paper, it investigated the impact of community structure in online social network on information propagation. A SI (Susceptible-Infected) model based on community structure was proposed. In the SI model, the heterogeneity of user’s active time was taken into account. From the results, it was found that the number of links among communities determines the fraction of infected nodes. With the increase of the number of groups G, however, the fraction of infected nodes remains approximately constant. The simulation results will be of great significance: the information will last relatively short for group networks which have either a small or a large number of groups. The results can be useful for optimizing or controlling information, such as propagating rumors in online social networks.     

Effects of Heat Treatment on Dimension Stability of Larch Pallet Decks

The useful life of wooden pallets is lower because of the defects in lumbers. The quality of lumber can be significantly enhanced by heat treatment. In this paper, the larch pallet decks samples were heat-treated under the conditions of different time and temperatures. The quantity of water uptake has reduced 16.8％ under the condition of 250 ℃ for 150 min. The resistance of water absorption efficiency increases 165.34％ under the condition of 175 ℃ for 90 min. The anti-shrink efficiency increases 72.08％ under the condition of 250 ℃ for 90min. The results showed that the dimension stability of larch panels can be improved by heat treatment. The condition of 250 ℃ for 180 min is the best heat treating condition to improve the dimension stability.     

3D Model Retrieval Method Based on Affinity Propagation Clustering

In order to improve the accuracy and efficiency of 3D model retrieval, the method based on affinity propagation clustering algorithm is proposed. Firstly, projection ray-based method is proposed to improve the feature extraction efficiency of 3D models. Based on the relationship between model and its projection, the intersection in 3D space is transformed into intersection in 2D space, which reduces the number of intersection and improves the efficiency of the extraction algorithm. In feature extraction, multi-layer spheres method is analyzed. The two-layer spheres method makes the feature vector more accurate and improves retrieval precision. Secondly, Semi-supervised Affinity Propagation (S-AP) clustering is utilized because it can be applied to different cluster structures. The S-AP algorithm is adopted to find the center models and then the center model collection is built. During retrieval process, the collection is utilized to classify the query model into corresponding model base and then the most similar model is retrieved in the model base. Finally, 75 sample models from Princeton library are selected to do the experiment and then 36 models are used for retrieval test. The results validate that the proposed method outperforms the original method and the retrieval precision and recall ratios are improved effectively.