光纤网络入侵中的未感染节点检测

光纤网络采用开放性较强的分布式结构,易受到恶意数据和代码的入侵,提出基于多元节点属性分类的光纤网络入侵未感染节点检测算法研究。依据节点测距原理,提取光纤网络中全部节点的位置信息;选定与未感染节点类型相关的光纤节点特征属性,并针对节点属性和入侵类型建模;依据多元分类算法对提取的光纤节点样本空间采样特征数据进行学习和分类,识别出光纤网络中的未感染节点。仿真实验表明,提出的节点检测算法克服了传统算法的弊端和不足,能够有效降低通信成本和节点能耗、提高入侵检测率、延长光纤网络生命周期。     

飞机结构强度试验中碳纤维增强树脂基复合材料无损检测技术

新型飞机大量使用碳纤维增强树脂基复合材料(CFRP)作为结构用材,为确定CFRP结构强度试验后的最终损伤状态,必须制定相应的无损检测方案与损伤评定方法。针对强度试验后CFRP工件表面粘接物对检测效率的影响、变厚度弧形CFRP结构原位检测损伤识别以及CFRP结构冲击损伤定量基准波选取等关键技术,结合强度试验中无损检测的特点,采用现场检测典型信号分析的方法,提出了CFRP结构强度试验中的无损检测方案和损伤评定方法,最后通过实验验证了检测方案和评定方法的有效性。     

Monte-Carlo仿真酒精特征波长光子在皮肤中的传输规律及光纤探头设计

用蒙特卡罗(Monte-Carlo)方法研究酒精特征波长的光子在皮肤组织中的传输规律,从而确定酒精光谱的最佳检测距离,为应用近红外光谱进行人体酒精无创检测提供理论依据。通过建立皮肤4层结构模型,确定了在酒精特征波长(1694nm、1735nm、2266nm、2308nm)下该模型的光学参数。利用Monte-Carlo方法对该模型仿真可得到结论:1694nm、1735nm波长光子的最佳检测半径为650μm,2266nm、2308nm波长光子的最佳检测半径为450μm;半径在200～1000μm之间时,出射点的光子密度随检测半径的增加呈幂函数形式递减,检测到的光子数随检测宽度的增加大致呈线性递增。利用上述结果,设计了用于人体酒精无创检测的光纤探头,选用TE制冷型的InGaAs检测器作为光子检测器。     

亚麻优化脱胶工艺对纤维性能的影响

在正交试验设计方法的基础上,采用一种新型的脱胶工艺对亚麻纤维进行脱胶,利用方差分析法对结果进行分析,通过SEM观察雨露沤麻和化学脱胶后亚麻纤维的纵向结构和形态．实验结果表明,NaOH用量对亚麻脱胶后分离度和束纤维强度影响最大,温度对亚麻柬纤维强度影响显著;亚麻脱胶的最优工艺参数为：氢氧化钠10g／L,时间90min,温度100℃;化学脱胶的亚麻胶质去除更彻底,在保证强度的前提下,分离度更大,有利于提高成纱质量．     

钢筋混凝土受弯构件开裂截面特性的解析解

文章基于平截面假定和结构平衡后各截面曲率唯一的原则,针对钢筋混凝土构件使用阶段的开裂截面特性,推导出一种新的计算方法,与现有计算公式相比,计算精度基本相当,且具有逻辑更加严密、形式更简单明了、使用参数少、计算方便等优点,能与现有规范较好地衔接。     

Biomimetic preparation and multi-sc ale microstructures of nano-sil ica/polyurethane elastomeric fibers

Bioinspired by the spinning of spider silks,the biomimetic preparation of nano-silica/polyurethane（nano-SiO/TPU） elastomeric fibers with distinctive multi-scale microstructures was successfully implemented.The formation mechanism of the nano-SiO₂/TPU fibers was considered as the integrated mechanism of diffusion,coagulation,self-assembly,and microphase separation,same as that of the native spider silks.The mass ratio of nano-SiO₂ to TPU greatly influenced the external and inner microstructures of the nano-SiO₂ATPU fibers.The formation process of the nano-SiO₂/TPU fibers was simply described as three main stages,and the second stage,such as the adding of the ethanol solvents and nano-SiO₂ in different diameters,was thought to be very crucial for the final external and inner microstructures of the prepared fibers.For example,the adding of the ethanol and the nano-SiO₂ spheres in diameter of 10 nm resulted in the existence of many TPU-self-assembled microspheres mostly spaced apart by the nano-SiO₂ aggregates in the nano-SiOVTPU fibers,while the adding of the ethanol and the nano-SiO₂ spheres in diameter of 100 nm resulted in the existence of the nano-SiO₂ spheres,instead of the TPU-self-assembled microspheres,distributed in the nano-SiO₂/TPU fibers.     

面向工程实践能力培养的高分子物理实验教改与实践

立足于实验教学条件近些年的发展,面向国家产业和行业发展对人才的需求,在多年教学实践过程中,将原有专注于经典理论验证的孤立性教学实验,逐步改革发展为注重经典理论验证和增强研究型和工程化特点实验相结合的教学实验体系,探索出一套面向工程能力培养的专业实验教学模式,取得了良好的教学效果。介绍了教学组在高分子物理实验教学改革与探索的实践过程中,分别在教学观念、教学内容的组织与整合等方面的一些做法和体会。     

《光纤通信》实验教学的优化探讨

为了培养学生的实践和动手能力,达到和理论课相辅相成的效果,根据实际教学经验及现有光纤通信实验基础,文章强调学生实验素质的培养,从做好基础实验、坚持系统实验、增设综合性、创新性实验和仿真实验等方面对优化光纤通信实验课程的教学方法、实验内容、考核方式等问题进行了探讨,为该实验教学的改革提供了有益的借鉴。     

IUKF neural network modeling for FOG temperature drift

A novel neural network based on iterated unscented Kalman filter （IUKF） algorithm is established to model and com- pensate for the fiber optic gyro （FOG） bias drift caused by temperature. In the network, FOG temperature and its gradient are set as input and the FOG bias drift is set as the expected output. A 2-5-1 network trained with IUKF algorithm is established. The IUKF algorithm is developed on the basis of the unscented Kalman filter （UKF）. The weight and bias vectors of the hidden layer are set as the state of the UKF and its process and measurement equations are deduced according to the network architecture. To solve the unavoidable estimation deviation of the mean and covariance of the states in the UKF algorithm, iterative computation is introduced into the UKF after the measurement update. While the measure- ment noise R is extended into the state vectors before iteration in order to meet the statistic orthogonality of estimate and mea- surement noise. The IUKF algorithm can provide the optimized estimation for the neural network because of its state expansion and iteration. Temperature rise （-20-20℃） and drop （70-20℃） tests for FOG are carried out in an attemperator. The temperature drift model is built with neural network, and it is trained respectively with BP, UKF and IUKF algorithms. The results prove that the proposed model has higher precision compared with the back- propagation （BP） and UKF network models.     

外墙外保温专用聚合物改性砂浆的研究

研究了水泥、可再分散乳胶粉、纤维素醚等因素对抹面砂浆抗裂性能和粘结砂浆粘结性能的影响,并进行了分析,得出了抹面砂浆和粘结砂浆的最优配比。