β型成核剂在聚丙烯中的应用Ⅰ.NA-BW引导聚丙烯结晶行为及力学性能

通过酰胺化合物(NA-BW)引导等规聚丙烯(iPP)制备高水平β晶型聚丙烯(β-iPP),借助广角X射线衍射(WAXD),差示扫描量热仪(DSC)及偏光显微镜(POM)研究其结晶形态及结晶行为,并研究了β型成核剂对iPP力学性能的影响。结果表明:加入β型成核剂NA-BW后,iPP的晶型和球晶形态均发生变化;等温结晶研究表明聚丙烯的半结晶时间(t1/2)明显降低,即结晶速度加快,非等温结晶研究表明iPP的结晶温度提高;iPP的冲击强度大大提高,拉伸和弯曲性能却略有下降。当成核剂用量为3 m g/g时,悬臂梁缺口冲击强度达到最大值,提高达3.5倍,由49.35J/m提高到176.23 J/m。热稳定性实验表明β型成核剂对聚丙烯成核效果的热稳定性良好。     

二甲基醚发动机HCCI燃烧与排放的计算

构建了可应用于均质充量压燃（HCCI）发动机的二甲基醚（DME）详细化学反应动力学M燃烧模型,该模型包含97种物种和457个基元反应．拓展M模型的应用范围,分析了DME发动机HCCI条件下关键基元反应和重要物种随曲轴转角的变化关系,获得了DME氧化反应的主要历程．研究了NOx的生成机理,结果表明NOx排放中NO生成量达到最大值后出现“冻结”现象,NO2与N2O最终排放浓度极少且受缸内温度影响不大．随着缸内温度的增加,NOx排放中NO所占比例逐渐增加．基于化学反应速率及敏感度分析,得到了DME发动机HCCI燃烧的NO排放主要受扩大Zeldovich机理和N2O途径控制．     

终端区空域规划运行评价指标体系

为了合理分配管制资源,保障高效运作终端区,通过对终端区空域规划运行效能进行量化分析,进而掌握其运行情况及发展形势。首先建立了基于8类关键性能领域的终端区空域规划运行评价指标体系。然后采用状态分类评估法构造综合评价函数,利用基于随机森林(random forest, RF)算法的可拓层次分析法(extension analytic hierarchy process, EAHP)分析计算指标权重,达到综合考虑指标影响、加强指标量化程度、减少研究过程主观性的目的。最后,以广州终端区和武汉进近为例,对八大关键性能指标进行实例分析,采用蒙特卡洛(Monte Carlo)模拟验证了指标计算结果的可靠性,提升了指标的认可度,验证了系统评价结果的准确性。     

电网故障下双馈风力发电机控制改进与仿真

随着风电装机规模的不断增加,作为未来能源互联网中重要的一环,风电机组应对电网故障的能力越加显得重要。针对双馈风力发电机组在电网故障下的暂态特性,提出了一种基于电网故障类型区分、控制器设计和辅助设备穿越的综合控制策略。相比于传统的控制方法,克服了控制误差大和响应滞后的问题,真正实现了系统的精细化控制。基于MATLAB和VC++联合建模,利用MEX技术搭建了电网故障下的1.5 MW双馈风力发电系统模型,仿真结果验证了所提出的综合控制策略在电网故障下提高双馈风力发电机控制的有效性。     

自适应的无线融断网络路由算法研究

无线融断网络具有长延时、高动态拓扑、链路不稳定等特点,伴随着网络联接缺乏源端到目的端的持续性,为解决网络通信困难的问题,将多头绒泡菌的智能性和自适应性引入,提出一种自适应的无线融断网络路由算法。搭建无线融断网络模型,推导出链路容量的数学表达;设计下一跳节点的选择策略和最佳路由选择策略,实现在融断网络环境下的数据尽力投递。仿真实验表明,该算法能够在网络开销率较低的情况下,达到良好的数据投递,且平均延迟小。     

Incorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods

Financial distress prediction (FDP) has been widely considered as a promising approach to reducing financial losses. While financial information comprises the traditional factors involved in FDP, nonfinancial factors have also been examined in recent studies. In light of this, the purpose of this study is to explore the integrated factors and multiple models that can improve the predictive performance of FDP models. This study proposes an FDP framework to reveal the financial distress features of listed Chinese companies, incorporating financial, management, and textual factors, and evaluating the prediction performance of multiple models in different time spans. To develop this framework, this study employs the wrapper-based feature selection method to extract valuable features, and then constructs multiple single classifiers, ensemble classifiers, and deep learning models in order to predict financial distress. The experiment results indicate that management and textual factors can supplement traditional financial factors in FDP, especially textual ones. This study also discovers that integrated factors collected 4 years prior to the predicted benchmark year enable a more accurate prediction, and the ensemble classifiers and deep learning models developed can achieve satisfactory FDP performance. This study makes a novel contribution as it expands the predictive factors of financial distress and provides new findings that can have important implications for providing early warning signals of financial risk.     

A comparison of conditional predictive ability of implied volatility and realized measures in forecasting volatility

In a conditional predictive ability test framework, we investigate whether market factors influence the relative conditional predictive ability of realized measures (RMs) and implied volatility (IV), which is able to examine the asynchronism in their forecasting accuracy, and further analyze their unconditional forecasting performance for volatility forecast. Our results show that the asynchronism can be detected significantly and is strongly related to certain market factors, and the comparison between RMs and IV on average forecast performance is more efficient than previous studies. Finally, we use the factors to extend the empirical similarity (ES) approach for combination of forecasts derived from RMs and IV.     

国际重要检索系统与甘肃省科技期刊

对国际重要检索系统进行了论述,并对甘肃省科技期刊被国际重要检索系统收录情况进行了统计与分析。     

A new DFM flow for sub-100nm standard cells

DFM （Design-For-Manufacturability） method, which aims to improve manufacturability of ICs through specific design considerations, is becoming important nowadays. In particular, standard cells now should be designed by DFM method. This paper reports a new DFM flow for sub-100 nm standard cell design with a group of technologies for process modeling, manufacturability simulation and trial RETs. Based on this flow, a set of DFM-friendly 90nm standard cells were designed.     

Engineering of multiferroic BiFeO3 grain boundaries with head-to-head polarization configurations

Confined low dimensional charges with high density such as two-dimensional electron gas (2DEG) at interfaces and charged domain walls in ferroelectrics show gre...