医用内窥镜微型摄像模组设计

设计了一种新型医用内窥镜微型摄像模组.该模组采用微型、高分辨率的CMOS图像传感器结合低压差分信号（LVDS）传输技术进行设计,使摄像模组直径缩减至5.0mm,并实现了图像数据的长距离高保真传输.搭建了实验平台对摄像模组的摄像功能进行了测试.结果表明：该模组图像传输距离超过2m,分辨率达到30万像素,对口腔溃疡模拟粘膜病变的识别率高达90％.其图像分辨率高,传输距离长,使其适用于内镜诊断;其直径小,能大大提高病人内镜检查的舒适性,为超细内镜诊断提供了一种极佳的解决方案.     

蒽醌合成方法的研究进展

综述了重要中间体蒽醌的应用以及传统工业生产方法,评价了苯酐法、氧化法及萘醌法等各种方法的优缺点.介绍了采用苯酐为起始原料通过两步法或一步法合成蒽醌的研究新进展,认为沸石分子筛催化剂可使蒽醌的合成过程绿色化,并可再生重复使用,具有很好的发展前景.     

二甲基亚砜一步法碳纤维用聚丙烯腈原丝生产工艺

叙述了二甲基亚砜一步法（高转化）高强碳纤维用聚丙烯腈原丝生产的工艺流程。着重讨论了聚合、纺丝的工艺控制。以及工艺控制对聚丙烯腈原丝和最终碳纤维性能的影响。按此工艺生产的聚丙烯腈原丝的质量完全符合高强碳纤维生产的需要。     

甲苯稀释对AlCl3-EMIC型离子液体电镀铝工艺氢脆性的影响

采用甲苯作为AlCl3-EMIC(1-乙基-3-甲基咪唑)型离子液体的稀释剂,其中纯态离子液体由物质的量比为2∶1的无水AlCl3和EMIC组成。对比了纯态和按稀释剂与离子液体体积比为1∶1稀释后电镀铝的外观、微观形貌和氢脆性。结果表明,采用甲苯稀释离子液体虽然可以降低镀液的黏度,改善镀层外观和微观形貌,但对离子液体电镀铝工艺的氢脆性有负面影响。     

基于特征融合的调制识别增强与迁移演化

针对调制识别中单一图像的特征信息不足,区分度不够高,识别范围受限的问题。本文提出了一种基于时频图和星座图特征融合的调制识别特征增强方法,利用深度学习神经网络提取信号图像的特征,构建特征空间,通过多维特征融合,挖掘和整合不同特征的优势,增强模型算法的鲁棒性。此外运用了模型迁移的方法,仅需对分类器进行训练,大幅节约了训练时间和资源,具有很强的实时性和实用性。仿真结果显示,在0db左右的条件下,相比于单一特征图像,采用特征融合增强的方法能将信号的平均识别率提高约25%,通过模型迁移,省去了卷积神经网络的训练,所需的训练时间约为迁移前的9.6%,消耗内存约为迁移前的7.3%,同时模型的识别率损失控制在了5%以内。     

Enhanced Thermal Stability of Zinc-Based Titanate (Dielectric) Ceramics Prepared by the Modified Sol–gel Route

A multi-component substitution of Co and Ni was incorporated into ZnTiO₃ to form pure hexagonal Zn_{1− x} (Co_1/2Ni_1/2) _x TiO₃ ( x =0,0.8,0.9,1.0) dielectric ceramic powders by a modified sol–gel route, following heat treatments at 600°C for 3 h and at 800°C for 6 h. Differential scanning calorimetry measurements revealed that the order of increasing thermal stability of solid solution compound Zn_{1− x} (Co_1/2Ni_1/2) _x TiO₃ was ZnTiO₃ (945°C), Zn_0.1Ni_0.9TiO₃ (1346°C), Zn_0.1(Co_1/2Ni_1/2)_0.9TiO₃ (1390°C), and Zn_0.1Co_0.9TiO₃ (>1400°C). Both the dielectric constant and loss tangent reached a maximum at x =0.8 and then decreased with solubility, x , and measurement frequency.     

基于遗传算法优化的OCSVM双轮廓模型异常检测算法

针对Modbus工业总线协议的特殊性及工控数据样本的不均衡性,利用单类支持向量机（OCSVM）分别构建正常OCSVM模型和异常OCSVM模型,即双轮廓模态来模拟系统通信的正常模式和异常模式,从而实现工控系统异常检测。同时将遗传算法优化自变量降维应用于工控网络入侵检测场景,实现对输入自变量的降维压缩处理,防止OCSVM模型出现过拟合现象及分类准确率低的问题,提高异常检测的精度,缩减建模时间。通过仿真验证了该算法对工控网络异常检测的有效性。     

用人工神经网络预测混杂复合材料混杂效应

本研究建立一个二输入单输出的BP人工神经网络模型，并用QBASIC语言编制了相应的软件。利用该神经网络模型对混杂效应与混杂比及分散度系数间关系进行了预测。研究结果表明，网络经过61223次的迭代，预潮值误差为0．12％，具有很高的预测精度，可用于混杂复合材料混杂效应的预测。     

甲苯二异氰酸酯（TDI）的市场开拓

甲苯二异氰酸酯(TDI)是合成聚氨酯高聚物的主要原料之一,本文简要地论述了该产品的国内外发展与现状,从当前国内市场出发,认为开发面广,量大和价廉的新制品是我国TDI市场的开拓方向和当务之急,并提出了5项具体的开发项目,以有助于该产品的迅速发展。     

Pozzolanic properties of reject fly ash in blended cement pastes

Low-grade fly ash (reject fly ash, r-FA), a significant portion of the pulverized fuel ash (PFA) produced from coal-fired power plants and rejected from the ash classifying process, has remained unused due to its high carbon content and large particle size. But it may be used in certain areas, such as in solidification and stabilization processes of hazardous waste and materials for road base or subbase construction, which require relatively lower strength and reactivity. It is therefore necessary to extend research on the properties of r-FA and explore its possible applications. This paper presents experimental results of a study on the mechanical and hydration properties of cementitious materials prepared by blending r-FA with ordinary Portland cement (OPC). Parallel mixes were also prepared with the good ash [i.e., classified fine fly ash (f-FA)] for comparison. Selective chemical activators were added to the mix to study the effects of the activators on the properties of the blend system. The results show that r-FA generally has a lower rate of hydration than f-FA particularly at the early stage of hydration. Adding Ca(OH)₂ alone almost had no effect on accelerating the hydration of r-FA. But adding a small quantity of Na₂SO₄ or K₂SO₄ together with Ca(OH)₂ significantly accelerated the hydration reaction. The results of the compressive strength measurement correlated nicely with the degree of hydration results. It was also found that water-to-binder ratio (w/b) was an important factor in affecting the strength development and the hydration degree of r-FA pastes.