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。     

双波段比色辐射温度计的波长选择

通过对比色测温法灵敏度温区特性和波比数判据的分析,讨论了比色波长的匹配原理,试图解决选择比色波长的理论依据。     

榆树林油田砂岩储层敏感性研究

榆树林油田储层粘土矿物含量较高，各种注入条件和施工条件都会对该储层造成相应的伤害，应采取相应的防护措施，为防止速敏的发生，储层的注水速度应控制在临界流速（1.0mL/min）以下，在油井转注时，可先注入1.09PV的含粘土稳定剂的进行处理，以提高产量或注入量，注入阴离子表面活性剂配置的活性水再注入地层水，不能增加地层水的渗透率，该项试验研究对指导榆树林油田的开发具有重要的意义。     

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。     

Impact of uncertainties on estimations of heat pump cycle performance

Sensitivity analysis is used to show how uncertainties in basic factors, such as heat transfer, pressure drop, compressor efficiency, and thermophysical properties, influence the result of heat pump cycle performance estimations. By comparing the results of this analysis with uncertainty levels of estimations and experimental determinations, it is established to what extent improvements in accuracy are needed. The investigation was carried out for several different applications and, as working fluids, both pure substances and non-azeotropic mixtures were examined. It was found that evaporation heat transfer and compressor efficiency are two areas where improvements are needed. It is also shown that estimates using very accurate, substance-specific, equations of state differ from those using more general types by up to 1 % for COP and 2% for capacity.     

Neural architecture for robotic vision sensor that discounts uneven illumination in a manufacturing environment

Computer vision algorithms for inspection or pick-and-place operations often depend on spatially uniform illumination of a workplace. This necessitates expensive lighting fixtures. To discount effects of uneven illumination we designed and tested a neural network that can adaptively control light sensitivity at the photosensor level. Our neural network architecture consists of multiple layers with hexagonally arranged nodes. All nodes have partially overlapping receptive fields of different spatial frequencies. Feedforward connections are excitatory while feedback pathways subserve lateral inhibition. The outputs of these nodes are combined so as to maximize the signal-to-noise ratio while constantly resetting thresholds to maintain high sensitivity. Our connectionist architecture can account for many characteristics attributed to the lightness constancy phenomenon observed in biological systems. The results suggest that our module maintains high sensitivity over the whole domain of intensities without interfering with transmission of visual information embedded in spatial discontinuities of intensity.