多级网络多处理机系统的性能评估

本文建立了多级网络(δ-网)多处理机系统的马尔柯夫模型,为系统结构参数和任务粒度的选择提供了依据。文中分析了处理机数目、网络结构参数和任务粒度对系统性能的影响,并对模型计算结果和仿真结果作了比较。     

煤气吹扫时惰性气体抑爆用量的优选

运用惰性气体消防抑爆理论，采用数学积分法计算出吹扫煤气设施时抑爆所需最少惰性气体需要量．     

熔窑玻璃液流数值模拟的新发展

熔窑玻璃液流数值模拟的新发展赵国昌（清华大学核能技术设计研究院，１０００８４）ＮｅｗＤｅｖｅｌｏｐｍｅｎｔｏｆｔｈｅＮｕｍｅｒｉｃａｌＳｉｍｕｌａｔｉｏｎｆｏｒＦｌｏｗａｎｄＨｅａｔＴｒａｎｓｆｅｒｏｆＧｌａｓｓＭｅｌｔｉｎＴａｎｋＦｕｒｎａｃｅ￥Ｚ...     

吸附制冷循环的热力计算及热力学评价方法探讨

在化工吸附，吸附热力学及Polanyi吸附位势理论的基础上，介绍吸附制冷基本型循环，推演其参数坐标图，进而分析，给出其主要性能指标的热力计算，然后以热力学的逆卡诺循环和内可逆三热源循环模型为指针，对此制冷循环进行考察。并结合热力计算对其热力学完善性做出评价，从而给出了吸附制冷基本型循环合适的热力学评价方法。     

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.     

令牌多环网性能—可靠性综合评价

网络的性能与可靠性已分别得到广泛的研究,然而,怎样分析具有容错机制的环网的性能仍属有待开拓的研究领域,本文提出了一种分析具有自修复机制的多环网络系统的方法,并给出了报文传输时间分布的拉氏变换式,平均等待时间及平均队列长度公式,分析结果可用于评估故障与修复过程对实时令牌环网的实时响应特性的影响,对基于LAN的分布式实时系统设计具有指导意义。     

85W／90卡车手动变速箱油的研制

介绍８５Ｗ／９０卡车手动变速箱油的组分和添加剂，提出符合８５Ｗ／９０粘度级别的基础油，讨论影响８５Ｗ／９０卡车手动变速箱油性能的各种因素，给出符合８５Ｗ／９０卡车手动变速箱油规格的油品配方。     

钢铁企业价格预测决策模型体系研究

通过对钢铁企业现行价格管理体系的分析 ,建立了钢铁企业价格预测决策模型体系。充分利用大量的定性、定量信息 ,并把趋势预测和因果预测技术相结合 ,采用组合预测模型对价格进行预测 ,最后对预测出来的多方案进行模糊综合评价 ,给出推荐方案顺序。实际应用表明 ,模型体系是有效的。     

Hydrocarbon exploration risk evaluation through uncertainty and sensitivity analyses techniques

The evaluation of the exploration risk in the oil industry is a fundamental component of the decision process related to the exploratory phase. In this paper the two basic components of the exploratory risk: trap geometry and trapped hydrocarbon quantities (fluid), are compounded in a single coherent uncertainty and sensitivity approach. The results clarify that the model geometry influences each Petroleum System Modeling step and that the geometric uncertainty is correlated with the fluid uncertainty. The geometric uncertainty evaluation makes use of geostatistical techniques that produce a number of possible realizations of the trap geometry, all compatible with available data. The evaluation of the fluid uncertainty, through a Monte Carlo methodology, allows us to compute the possible quantities of oil and gas, generated in a basin and migrated from the hydrocarbon source location to each single trap. The final result is the probability distribution of oil and gas for each trap in the basin, together with other useful indicators like: the hydrocarbon filling probability map, the closure probability map, the drainage area probability map, the spilling paths probabilities, the trap-filling scenarios.