大学治理中教师与行政人员的关系: 基于社会资本的研究

教师与行政人员的关系是大学治理研究中的重要问题。教师和行政人员之间的职业文化差异成为他们在决策时追求共同利益的障碍。社会资本的引入提供了新的分析视角。参与网络、组织信任是大学治理中重要的社会资本。中国大学要加速教师参与决策的制度化，从而增加治理中的社会资本。     

CO2焊短路信号和缩颈信号的获取

采用光耦6N136对电弧电压进行隔离，得到了失真很小的孤压信号，设计了短路检测电路和缩颈检测电路．并在缩颈检测电路中加入削波电路，成功地消除了燃弧电压时缩颈检测电路的影响。通过实际焊接试验，验证了所设计的短路检测电路和缩颈检测电路是成功的。     

Fuzzy adaptive networks in machining process modeling: surface roughness prediction for turning operations

Due to the complexity of the machine tool structure and the cutting process, the dynamics of machining processes are still not completely understood. This is especially true due to the demand of high-speed machining to increase productivity. In order to model and control these complex processes, new approaches, which can represent complex phenomenon combined with learning ability, are needed. The combined neural–fuzzy approach appears to be ideally suited for this purpose. In this paper, the recently developed fuzzy adaptive network (FAN) is used to model surface roughness in turning operations. The FAN network has both the learning ability of neural network and linguistic representation of complex, not well-understood, vague phenomenon. Furthermore, it can continuously improve the initially obtained rough model based on the daily operating data. To illustrate this approach, a model representing the influences of machining parameters on surface roughness is established and then the model is verified by the use of the results of pilot experiments. Finally, a comparison with the results based on statistical regression is provided.     

基于小波神经网络信息融合的板材拉深故障诊断研究

总结了板材拉深试冲时的综合故障及原因,应用小波技术加混合式数据融合方法,将数据级、特征级和决策级融合通过神经网络方法综合在一起,对板材拉深试冲时的缺陷进行智能诊断,描述了小波神经网络的建模过程,探讨了通过多源互补信息减少故障诊断系统不确定性的优化方法,并给出了诊断结果。     

断路器机械特性及参数检测装置

论文介绍了所研制的断路器三相同步性检测装置,以国产DBA、DBG、DBB等九种断路器为研究对象,选用工控机、伺服电机、力传感器和高速数据采集卡设计了一套数据采集、处理系统,完成对其分合闸机械特性参数、力变化曲线和过程曲线的自动测量、显示、存储查询及打印,检测功能全、速度快、精度高,可以将断路器诸多机械特性的测量集于一体,大大简化了测量过程,节省人力物力.最后对其测量结果及适用性作了分析和评议.     

基于人工神经网络的拉形回弹预测技术研究

以蒙皮拉形为对象,探索了人工神经网络技术在拉形回弹预测中的应用。研究了利用神经元网络预测拉形回弹的关键技术,将人工智能技术和拉形数字仿真技术有机结合,建立了拉形回弹预测的人工神经网络模型,并验证了预测模型的有效性,为推动知识工程在飞机板金精密成形中的应用积累了经验。     

Evolution of patinas on copper exposed in a suburban area

Copper plates were exposed under sheltered outdoor conditions for up to one year, starting in September 2001 in Musashino City, Tokyo, a suburban area. Following various periods of exposure, the patinas on the plates were characterized to investigate their evolution by using X-ray fluorescence analysis, X-ray diffraction, field emission scanning electron microscopy, and glow discharge optical emission spectroscopy. The difference in the roles of sulfur and chlorine in the early stages of copper patination were identified by analyzing the depth profiles of these two elements. Sulfur was found on top of the patina as cupric sulfates such as posnjakite (Cu₄SO₄(OH)₆ · H₂O) or brochantite (Cu₄SO₄(OH)₆). Brochantite appeared only after 12 months of exposure. In contrast, chlorine was found on the surface after only one month of exposure. It gradually penetrated the patina as the exposure period lengthened, forming copper chloride complexes. Chloride ions accumulated at the patina/copper interface, forming nantokite (CuCl), which promoted corrosion.     

铸造现场监测数据的网络化管理

针对大量铸造检测设备的使用使各种检测信息处理流程复杂化的现状，利用最新的电子技术，提出铸造企业现场检测、监测数据的网络化管理方案，可以实现铸造企业现场检测数据的分散采集，自动记录，实时传输，集中管理，统一分析，多部门信息共享，极大地减少了操作和管理人员的工作量，提高了效率和检查效果。     

The integrated intelligent system for welding seam error and penetration depth identification

A integrated intelligent system for seam tracking and penetration control is given. The system received information of welding seam error and penetration depth from only one sensor, then, it realized seam tracking and penetration control simultaneously. This paper introduces constitution of the system, methods of information recognition, design of the neuralfuzzy controller and results practically.     

光磁共振实验最佳扫场参数的确定和抽运信号图分析

用光磁共振实验测定铷原子的g因子和地磁场，并对实验得到的数据进行分析并确定测定g因子的最佳扫场幅度。从理论上对各种抽运信号图形的产生进行了分析。