煤质分析报告与燃烧计算

燃烧计算所需要的工作质的碳、氢、氧、氮、硫、灰分和水分7项成分的煤质分析数据,一般的煤质分析报告提不出来。本文作了某些简化的、近似的工程处理。计算出“空气干燥基”的上述7项成分数值,用以代替常用的工作基成分,通过实例计算,发现能很好地与实际情况相符合,提示这种工程处理在实用上的可行性。     

燃气涡轮发电机组虚拟评判系统研究

为更好地评判操作人员对燃气涡轮发电机组的操作训练,设计了一种虚拟评判系统.根据操作实际,制定了评判标准,建立了评判指标体系.考虑到指标之间的相互影响和反馈关系,解决指标权重分配问题,利用网络分析法(ANP)处理指标间的复杂关系,并采用三角模糊数和模糊优先规划方法(FPP)完成权重的计算,引入云理论确定隶属度,使用蚁群算法优化BP神经网络,结合模糊综合评判构造模糊蚁群神经网络评判模型.上述方法能够有效减少主观因素对权重的影响,弥补传统评判方法的不足.实际应用表明,改进的评判系统具有很强的实用性,是一种可行的评判系统.     

基于知识点的试卷质量分析研究

通过对现有试卷质量评测标准的介绍,指出其中存在的不足,并以此引入知识点因素对评测标准加以改进。知识点的引入使评测粒度更加细腻,评价依据更加准确有效,能够真正反映出试卷的实际难度。最后根据评测标准的自身特点。利用OLAP技术对其加以实现,通过实践证明评测标准的有效性。     

通识教育中的CorelDRAW课程探讨与分析

通识教育是高等教育的重要组成部分,而CorelDRAW作为应用性较强的平面设计类课程又成为通识教育的主要开设课程之一。如何就该课程在通识教育和高等教育教学环节中发挥重要作用,是值得学者们普遍关注的问题。认真分析CorelDRAW课程的特点和性质,以及充分分析该课程的教学现状,提出作为通识教育课程的开设策略。     

QNX Neutrino实时操作系统性能分析

操作系统是实时嵌入式系统的核心,其性能是决定系统实时性的关键因素之一.介绍了微内核实时操作系统-QNXNeutrino,并以标准检查程序对内核进行性能测试和分析.     

基于定性与定量分析的联络中心任务量预测法

任务量预测是联络中心人员排班的第一步,如何精确预测联络中心的任务量并相应地安排适当数量的座席人员来处理客户的需求是联络中心管理人员面临的首要问题.提出采用定性分析与定量分析相结合的任务量预测方法.对于给定的任务量数据,首先,采用观察法进行定性的分析区分异常和正常数据,然后,分别选定合适的定量预测方法进行预测.任务量定量预测方法包括趋势拟合、线性回归、移动平均、时间序列分解等预测方法.通过定性分析与定量分析相结合的综合应用方法,给出更准确的联络中心任务量预测方案,帮助管理人员最大程度的减少放弃和被拥堵在队列中的任务数量,设计制定可行性高的座席人员数量及人员排班.     

Modeling and economic analysis of CO<Subscript>2</Subscript> separation process with hollow fiber membrane modules

The main purpose of the study was to develop a model using ASPEN and Excel simulation method to establish optimum CO₂ separation process utilizing hollow fiber membrane modules to treat exhaust gas from LNG combustion. During the simulation, optimum conditions of each CO₂ separation scenario were determined while operating parameters of CO₂ separation process were varied. The characteristics of hollow fibers membrane were assigned as 60 GPU of permeability and 25 of selectivity for the simulation. The simulation results illustrated that 4 stage connection of membrane module is required in order to achieve over 99% of CO₂ purity and 90% of recovery rate. The resulted optimum design and operation parameters throughout the simulation were also correlated with the experimental data from the actual CO₂ separation facility which has a capacity of 1,000 Nm³/day located in the Korea Research Institute of Chemical Technology. Throughout the simulation, the operating parameters of minimum energy consumption were evaluated. Economic analysis of pilot scale of CO₂ separation plant was done with the comparison of energy cost of CO₂ recovery and equipment cost of the plant based on the simulation model. This work was presented at the 6 ^th Korea-China Workshop on Clean Energy Technology held at Busan, Korea, July 4–7, 2006.     

大型乙烯“三机”情况调研及分析

介绍了我国乙烯装置的现状,根据调研我国大型乙烯“三机”的情况,重点分析了乙烯“三机”存在的问题、原因及处理措施。     

Bromate Ion Analysis By Ion Chromatography

Bromate ion occurs during ozonation of bromide-containing waters. The current WHO guideline for bromate ion is 25 μg/L. Bromate analysis in drinking waters can be performed by various techniques. However, given the commonly low concentrations of bromate ion found in drinking waters, the classical methods do not fit for bromate analysis in most cases.

A specific conductimetric method with anion suppression which enhances analyte detection by lowering the eluent conductivity is described in this paper for low bromate level analysis. Three eluents have been tested in order to have the best signal to noise ratio. Some other parameters likely to interfere in bromate ion detection (nitrate and sulfate in particular) are also investigated. Taking into account the results of three interlaboratory trials between six European laboratories, a 2 μg/L detection level for bromate can be established.     

结合Bi-2DPCA与CNN的美式手语识别

针对现有美式手语（ASL）识别算法准确率低和模型训练时间长的问题,提出一种结合双向二维主成分分析（Bi-2DPCA）与卷积神经网络（CNN）并基于贝叶斯优化的识别算法。利用Bi-2DPCA算法对原始图像做数据降维处理,提取行、列方向的特征图,使用卷积神经网络对特征图进行训练分类,同时采用贝叶斯优化算法对模型超参数进行自动调参。在24分类ASL数据集上的实验结果表明,该算法的识别准确率达到99.15%,训练时间相比传统CNN算法减少90.3%。