表面δ力(SDI)+四极力(QI)与~(14)C核能谱

本文用组态混合方法,选择SDI+QI作为有效相互作用,计算了~(14)C的能谱,计算结果同实验值符合的很好。同时也用SDI作为有效相互作用计算了~(14)C的能谱,比较发现,SDI+QI比单纯的SDI作为有效相互作用有明显的改进。     

煤与瓦斯突出固气耦合方法研究

为了解决煤与瓦斯固气耦合的预测问题.煤与瓦斯突出、瓦斯抽放等从力学的角度看其基础都是一致的,都涉及到耦合作用下气体的流动和煤岩体的变形与破裂问题.耦合作用下瓦斯气体的流动和煤岩体的变形与破裂规律的研究,是研究煤与瓦斯突出机理、煤层瓦斯抽放的理论基础.阐述了煤与瓦斯突出的固气耦合机理,重点介绍了国内外煤与瓦斯突出研究方法.,     

中子物质的一种可能相变

建议高密物质中子化后出现夸克集团相，这是一种带色的中子．分析了相应温度和密度．讨论了新相的自族长程序和类铁磁的畴状结构．     

Growth,development, feeding preference,and food consumption and utilization by tobacco hornworm on tobacco mosaic virus-infected and non-infected tobacco leaves

Summary Plant disease may cause a variety of changes in plants which influence their suitability to insect herbivores. The reported physiological changes in tobacco due to infection by tobacco mosaic virus have the potential to influence the feeding, growth and behavior of the tobacco hornworm,Manduca sexta. However, feeding on foliage of systematically infected plants had no statistically significant effects on development time, mean pupal weight or the amount of foliage consumed by 4th instars. Although an initial preference was exhibited by larvae for healthy leaves after about 72 h no differences were observed. These results do not support the results of previous research on the influence of tobacco mosaic virus-infected plants on the tobacco hornworm.Scientific contribution No. 8130, article No. A-5071, of the Maryland Agricultural Experiment Station, Department of Entomology     

IX的4d~75p组态的能级计算

根据文献[1]描述的方法,外推文献[2～8]中 PdⅢ～TeⅨ的实验数据,得到了ⅠⅩ 4d~75p 组态的各 Slater 参数和弱组态相互作用参数。用这些参数计算了9次电离碘离子4d~75p 组态的能级和谱项分量.     

带误差估计的实时Runge-Kutta公式及应用

在实时仿真中,由于事先对实际系统的特性难以做到完全了解,满足精度要求的算法阶次和步长无法确定,需要通过多次仿真预试验来进行选择,因而造成时间、人力、甚至物力的浪费,而且不一定能获得理想的结果。本文将误差估计的思想应用于实时Runge-Kutta公式(简称实时RK公式),从而能在尽可能少的仿真预试验的前提下,比较准确地找出合适的算法阶次或步长。     

广播电视微机大容量闭环监控系统BTVSCADA

BTVSCADA 采用 PMC—88十六位工业控制微型机和长城0520—CH个人微型机分别作为监控机和管理机,对多达160个广播电视模拟信号进行实时监测和闭环控制,数据自动处理和统计制表,实现了广播电视播出系统的自动化运行和现代化管理。     

Study on integration of geographical information system and real-time control system based on Agent architecture

The real-time control system correlatively dealing with spatial information will become an important part of the artificial control system in the future. Geographical information system, as an analyzing and processing spatial data platform and powerful tool, will play a more and more role in the real-time control field. Agent-based architecture, as a concept of artificial intelligence, has been introduced in this paper. A new intelligent soft Agent, spatial-info Agent was developed, compared with the central nerve system, integrated by GIS and the traditional real-time control system. The realization model structure of spatial-info Agent was given too. And the techniques and integration methods were discussed by integrating mapinfo and fiber integration measurement system.