Flame retardant and the degradation mechanism of high impact polystyrene/Fe-montmorillonite nanocomposites

High impact polystyrene/Fe-montmorillonite (HIPS/Fe-MMT) nanocomposites were successfully prepared by melting intercalation. The nanostructures of HIPS/Fe-MMT were testified by X-ray diffraction (XRD) and transmission electron microscope (TEM). Corresponding to pure HIPS, the thermal stability of HIPS/Fe-MMT nanocomposites was notably improved. The peaks of heat release rate (PHRR) and the mass loss rate (MLR) were significantly reduced after the formation of the HIPS/Fe-MMT nanocomposites from cone calorimetry. And nanocomposites PHRR was further lower with the increase of Fe-MMT content in the range of 1 to 5 wt%. The degradation mechanism of HIPS and HIPS/Fe-MMT nanocomposites was conducted by pyrolysis gas chromatography mass spectrometry (Py-GC-MS). And the reason of the enhancement of thermal stability maybe is that structural iron is the operative site for radical trapping in the Fe-MMT and the nanostructure enhances the interaction of the chains of the HIPS.     

可靠性预计方法及思考

本文介绍了可靠性预计的目的,并对当前较为常见的可靠性预计模型或方法做了比较和说明,也对造成可靠性预计局限性的原因做了分析,最后对在可靠性工程工作中对待可靠性预计的态度做了探讨.     

基础锚栓预埋加固方案

结合工程实例 ,介绍轻钢结构系统基础锚栓预埋、加固解决方案 ,并介绍了加固系统的制作及使用方法 ,可供工程人员参考     

利用交换机解决局域网安全问题

分析了局域网的安全现状,阐述了目前网络安全管理中存在的一些问题,并提出了利用交换机解决的办法.     

浅谈原油顺序输送过程中混油量的计算

针对原油顺序输送工艺的特点,分析了原油顺序输送产生混油量的原因,给出了混油量计算公式。指出混油的形成与输送距离、油品种类、输量、停输时间、地形等有关。举例对东黄复线顺序输送所产生的混油量进行分析计算,给出了顺序输送过程中减少混油量的措施。     

DTV TS输出平台的建立

论证了将软件编码的数字电视传输流数据文件转换成并行码流输出的软硬件实施方案 ,并给出了研制的系统。系统基于微机构筑 ,工作于 Windows环境 ,编码制式、参数以及输出码率等可灵活设定 ,可作为数字电视系统测试信号源。     

基于Hadoop云存储系统在设计院的应用研究

近年来,三维设计、协同设计在设计院中逐渐推广使用,设计院面临着文件和数据量的快速增长,现有的文件存储设施已不能适应业务增长的需求。本文首先描述了云计算和云存储的概念,分析了云存储的体系结构和技术优势,提出了基于Hadoop构建的云存储系统模型,并应用于数据备份、归档及数据共享等领域,满足了设计院对海量数据存储、数据共享和数据挖掘等要求。     

电子文档防扩散体系建设研究

本文针对目前日益凸显的电子文档泄漏问题,对国内电子文档保护现状和存在的问题进行了分析,从原理和实现方式等方面对比了主流文档保护产品,总结了在建立电子文档防扩散体系时应确定的防护原则,并对管理和技术要点进行了分析,为电子文档防扩散系统的建设提供了建议。     

A conditional classification recurrent RBM for improved series mid-term forecasting

In the context of human-robot and robot-robot interactions, the better cooperation can be achieved by predicting the other party’s subsequent actions based on the current action of the other party. The time duration for adjustment is not sufficient provided by short term forecasting models to robots. A longer duration can by achieved by mid-term forecasting. But the mid-term forecasting models introduce the previous errors into the follow-up forecasting and amplified gradually, eventually invalidating the forecasting. A new mid-term forecasting with error suppression based on restricted Boltzmann machine(RBM) is proposed in this paper. The proposed model can suppress the error amplification by replacing the previous inputs with their features, which are retrieved by a deep belief network(DBN). Furthermore, a new mechanism is proposed to decide whether the forecasting result is accepted or not. The model is evaluated with several datasets. The reported experiments demonstrate the superior performance of the proposed model compared to the state-of-the-art approaches.

     

基于仿生嗅觉的电子鼻在煤矿火灾预报识别的应用研究

在煤矿井下存在多种复杂易燃混合气体,当外界温度或其他因素发生不稳定变化都可能引发火灾或其他事故;为了避免发生事故,提高预警机制,提前进行预报,根据生物嗅觉系统的模糊神经机理在嗅觉感知中所起的关键作用,构建了更接近生物嗅觉的模糊优化神经网络,使电子鼻系统具有仿生特性;最后通过MATLAB实验测试,根据不同温度下煤矿中的混合气味成份的不同进行成份模拟实验,实验结果表明,该电子鼻不仅具有辨识的快速性,还提高了自适应辨识的精度,从而能够准确做出预报。