虚拟机软件在中职网络教学和实训中的应用

随着全国中等职业学校计算机技能大赛的举办,中职学校网络实训环境发生了改变,虚拟机软件在网络教学中得到了广泛的应用.通过虚拟机软件可以建立虚拟化的实训环境,模拟真实的计算机系统.使用虚拟机软件既可以克服教学资源和设备不足的困难,又可以解决实训时长不足,完成真实环境难以实现的实训任务,保证网络教学和实训的顺利进行.     

采用汇文系统实现统编工作的探索

统一编目工作是促进图书馆业务工作自动化与标准化的重要技术,笔者从采用汇文系统进行统编工作的实践尝试中,探讨了统编工作中存在的一些实际问题,并提出了解决方案.     

聚酯聚合反应分层温度控制系统

介绍了聚合釜聚酯聚合反应温度过程控制系统及其设计方法。控制系统以高性能单片机系统为直控机（DDC）,PC机为上位机（MIS）,直控机负责聚合釜釜温及夹套温度采集、分析、控制,并将参数送上位机。上位机负责控制过程的时间及温度值设定、温度监测、工作过程监控。     

纸机传动控制系统的配置与控制原理

针对纸机日益高速化、大型化的发展趋势，设计了国内先进的全数字化通信网络传动控制系统。系统采用西门子全集成自动化解决方案，实现造纸生产过程的全线集成控制。高可靠的工业现场总线PROFIBUS—DP和工业以太网相结合的网络结构，有效地实现了数据共享，全面解决了整个工艺过程的控制。文章详细介绍了控制系统的配置和功能，重点阐述了速度链、负荷分配控制、张力控制等主要控制原理。     

Machine learning for multi-criteria inventory classification applied to intermittent demand

Multi-criteria inventory classification groups inventory items into classes, each of which is managed by a specific re-order policy according to its priority. However, the tasks of inventory classification and control are not carried out jointly if the classification criteria and the classification approach are not robustly established from an inventory-cost perspective. Exhaustive simulations at the single item level of the inventory system would directly solve this issue by searching for the best re-order policy per item, thus achieving the subsequent optimal classification without resorting to any multi-criteria classification method. However, this would be very time-consuming in real settings, where a large number of items need to be managed simultaneously.

In this article, a reduction in simulation effort is achieved by extracting from the population of items a sample on which to perform an exhaustive search of best re-order policies per item; the lowest cost classification of in-sample items is, therefore, achieved. Then, in line with the increasing need for ICT tools in the production management of Industry 4.0 systems, supervised classifiers from the machine learning research field (i.e. support vector machines with a Gaussian kernel and deep neural networks) are trained on these in-sample items to learn to classify the out-of-sample items solely based on the values they show on the features (i.e. classification criteria). The inventory system adopted here is suitable for intermittent demands, but it may also suit non-intermittent demands, thus providing great flexibility. The experimental analysis of two large datasets showed an excellent accuracy, which suggests that machine learning classifiers could be implemented in advanced inventory classification systems.     

滚动轴承异音识别的两次均方根叠加法

针对BANT－1型异声测量仪的不足之处，引入了两次均方根叠加法，不仅对BANT－1测量仪现有的识别参数指标进行了改进，而且将各分立的时域参数指标组合成一个统一的识别体系，从各角度全面地描述与识别轴承异音。     

Machine gaming in Sydney clubs: characteristics of the supporting resident populations

This research provided background for surveys and interviews in later stages of a 3 part project. It aimed to identify, from secondary research, sociodemographic characteristics which tend to support registered clubs and their machine gaming activities in the Sydney Statistical Division. Using multiple methods including Pearson's Product Moment correlation, Principal Components factor analysis, and stepwise regression, the study profiled Sydney populations which spend highly on gaming machines. The most important sociodemographic predictors of Sydney statistical local areas where per capita gaming machine expenditure is high are large proportions of the adult resident population who were born in Malta, Greece, Lebanon, China, Italy, Vietnam, Yugoslavia, India or the Philippines; have no vocational or tertiary qualifications; or are unemployed.     

车灯反射镜充液拉深液压机的设计

在对车灯反射镜充液拉深工艺数值模拟优化及实验的基础上,研究设计车灯反射镜充液拉深液压机.利用液压提供凸模拉深力、压边力以及凹模容腔压力;通过PLC(可编程控制器)来控制凸模运动、压边力和凹模容腔压力按照规定的曲线实时的变化.结果表明,充液拉深液压机具有体积小、易操作、高精度和高效率等优点.     

基于浊度检测的洗衣机废水自动回收装置的设计

为回收再利用洗衣机在洗涤过程中所排的废水，设计了洗衣机废水自动回收装置，装置由浊度传感器、液位开关、水用电磁阀、潜水泵、水箱等构成。该装置可自动识别废水污浊程度，从而决定是否回收储存起来。经简易处理的回收废水类似于q-水，可用于马桶及地面的冲洗，这对于水资源的节约利用、绿色住宅建筑设施设计具有一定的参考意义，同时也具有一定的经济效益。     

再生核支持向量机在非线性系统中的应用

为了提高非线性系统辨识的精度,提出用Walsh函数作为空间V0的尺度函数,构造出L2(R)空间的正交规范序列。结合小波多分辨分析,将Hilbert空间分为一系列子空间,并由可分Hilbert空间与L2(R)的等价性,利用内积同构的线性算子,可以把V0子空间的尺度函数折算为Hilbert空间的子空间V0的尺度函数,构造出新的Walsh序列再生核。通过仿真实验,与传统的RBF核函数、高斯核函数等比较,该尺度再生核函数具有更高的辨识精度,较少支持向量数目,充分体现了支持向量机较好的推广性能。