重视并做好人力资源开发工作

每个国定的经济能不能持续发展 ;能不能在激烈的国际竞争中始终不衰 ;关键在于这个国家能不能开发人力资源 ;占领人力资源、用好人力资源。     

Object data MODEL = object-oriented + semantic models

The term ‘object-oriented database’ has been used to refer to different characteristics and mechanisms supported by semantic databases and (behaviorally) object-oriented ones. While this indicates the current confusion due to the lack of a common model, it also suggests the potential desirability of combining these two kinds of modeling facilities into the same nutshell. This paper summarizes from these two paradigms the features common to both, the features influenced/adopted by each other, and the features which are presented in one paradigm but missing from the other. After a brief analysis and discussion of these features, we conclude this paper by proposing our major theme: a complete object data model should take the union of the facilities offered by these two kinds of models.     

Sub-optimal solutions to track detection problem using graph theoretic concepts

This paper demonstrates how the problem of tracking targets, which appear as either straight or curved lines in two-dimensional display images (or data images) can be formulated in terms of a directed weighted graph model and how dynamic programming techniques can be efficiently applied to reach an optimal or sub-optimal solution. In general, track detection algorithms providing optimal solutions have good detective ability, but most of them suffer from the inability to detect discontinuous lines or to resolve efficiently pairs of crossing lines. A sub-optimal solution is provided that efficiently overcomes these weaknesses. We focus on modeling the track detection problem in terms of a graph, formulating fast sequential/parallel sub-optimal track detection algorithms and testing them on simulated data in order to show their detective ability. Moreover, we specify the conditions under which sub-optimal algorithms can perform at least as well as their corresponding optimal algorithms. This is significant for the track detection problem where fast, accurate and real-time detection is considered a necessity.     

激光和CCD快速自动测量车身曲面的研究

根据光学三角测量原理提出一种应用激光和CCD光电子技术非接触车身曲面快速自动跟踪曲面轨迹的等距离随动测量方法。并对实际轿车模型作了实验测量。     

高镁瓷工艺特性研究和应用

本文总结了ＭｇＯ－ＳｉＯ２－Ａｌ２Ｏ３系的高镁瓷配方、增塑及烧成工艺特性的研究过程与应用结果；介绍了适应大生产的高镁瓷制作工艺。     

机械合金化的原理及在磁性材料研究中的应用

介绍了机械合金化的原理和描述机械合金化过程的理论模型。综述了机械合金化在磁性材料研究中的应用，并对目前研究中的存在的问题及发展前景进行了分析。     

棒束临界热流密度流体模化研究

在空泡物理和自然循环重点实验室氟里昂热工实验装置上进行了CHF实验 ,实验段为9 5×1 0mm元件管组成的 4× 4棒束 ,并对其开展了 4× 4棒束CHF流体模化研究。在压力 1 5 9～ 2 73MPa、质量流速 4 88～ 2 0 80kg (m2 ·s)、临界含汽率 -0 2 0～ 0 3 0的工况范围内 ,采集了 1 70个 4× 4棒束CHF实验数据 ,并与压力 9 9～ 1 6 2MPa、质量流速 2 74～ 1 4 73kg (m2 ·s)、临界含汽率 -0 2 0～0 3 4工况范围内 ,以水为工质相同棒束实验段内的 2 0 6个棒束CHF实验数据进行比较 ,发现Ahmad补偿失真模型、张振杰模型和Stevens Kirby模型在上述工况范围内不再适用于棒束CHF的模化 ,这些模型的预测偏差均大于 2 0 %以上 ,而且棒束CHF模化的流量模化因子k明显地受压力、质量流量和入口含汽率的影响。据此提出适用于上述工况范围内 4× 4棒束CHF模化的流量模化因子k的关系式 ,其CHF预测偏差在± 1 5 %以内 ,均方根误差为 7 0 5 %。     

拉伸试样弯曲度对屈服强度测试值的影响

分析了输送管管体横向拉伸试样弯曲度对屈服强度测试值的影响,从理论上初步阐明了管体横向拉伸试样的弯曲会引起屈服强度测试值的降低,并提出在相关的标准中应对管体横向试样的展平程度作出规定.     

Modeling video sources for real-time scheduling

What is the impact of the autocorrelation of variable-bit-rate (VBR) sources on real-time scheduling algorithms? Our results show that the impact of long term, or interframe, autocorrelation is negligible, while the impact of short term, or intraframe, autocorrelation can be significant. Such results are essentially independent of the video coding scheme employed. To derive these results, video sequences are modeled as a collection of stationary subsequences called scenes. Within a scene, a statistical model is derived for both the sequence of frames and of slices. The model captures the distribution and the autocorrelation function of real-time video data. In previous work, the pseudoperiodicity of the slice level auto-correlation function made it difficult to develop a simple yet accurate model. We present a generalization of previous methods that can easily capture this pseudoperiodicity and is suited for modeling a greater variety of autocorrelation functions. By simply tuning a few parameters, the model reproduces the statistic behavior of sources with different types and levels of correlation on both the frame and the slice level.