路面质量检测方法及装置

介绍了一种现场道路质量检验方法,利用机械式偏心激振原理,设计了一台移动式激振装置.使激振头产生一定频率和振幅的激振力激打路面,在激振杆上安装一个传感器,可检测出激振头对路面的激打力和频率,根据检测路面相应变形情况进行综合分析,即可检测出路面的质量是否满足设计要求而实现现场检验.该装置体积小,既可作为实验室检测设备,又可在现场进行检验;检测结果完全符合国家标准.     

Gold码的因子图迭代捕获方法

为降低Gold码的捕获时间与复杂度,提出将基于因子图的迭代m序列捕获算法应用于Gold码捕获. 以全球定位系统(GPS)信号的C/A码为例,首先根据Gold码的生成多项式确定1组具有稀疏结构的校验关系;然后为降低迭代计算的复杂度,提出了不同校验关系顺次校验与混合校验的迭代捕获算法;最后通过仿真研究比较了不同的校验关系和校验方法对迭代捕获算法性能的影响. 仿真结果表明,顺次迭代且迭代次数递减的校验方法最优,该方法能在不损失检测概率的情况下降低Gold码捕获的复杂度,同时降低其捕获时间.     

多维奇偶校验乘积码性能分析

相对于Turbo码,乘积码在高码率情况下具有性能优势,且无错误平层,其应用广泛。以奇偶校验码为分量码的乘积码译码算法简单,可适应不同的数据大小要求。通过分析多维奇偶校验乘积码的码多样性,得出高信噪比下该码的性能公式;计算机仿真表明:该性能公式结果与最大似然译码算法及迭代译码算法性能相符。通过分析码率、维数、分量码码长等参数对码性能的影响,得出码率、维数相同时,码性能相近;码率相同、维数不同时,高维乘积码具有性能优势。该结果为码参数选择提供依据,可在相同的信息传输有效性下,选择性能更好的码。     

TD-SCDMA系统中快速DCA算法的研究

TDSCDMA东统作为TDD—CDMA系统的代表,与FDDCDMA相比,它在物理层采用了智能天线、多用户检测、上行同步以及特殊的帧结构等。在分析TDSCDMA系统帧结构的基础上,提出了一种改进的动态信道分配方案以及考虑空间分布信息的信道分配算法,通过增大交叉时隙的空间膈离度和减少交叉时隙的使用机率来改善基站间的相互干扰,同时使每个时隙的用户空间分布更加均匀,能够有效增加系统容量,改善系统性能。     

可导通非电起爆系统研究

阐述采用非电导爆管组装成全封闭系统，以实现网路导通检查，并有效控制瓦斯引爆。     

优化SVR的加权马尔可夫链用电量预测

研究电力系统中用电量的准确预测问题.由于影响用电量的因素众多,并且用电量数据与相关因素之间呈现高度的非线性关系,传统的预测方法很难捕捉用电量的变化趋势,预测精度较低.为了提高预测的精度,提出了一种马尔可夫链优化的SVR模型.上述模型根据支持向量回归机原理,以网络搜索交叉验证的思想优化模型参数,通过加权马尔可夫链原理优化预测结果,将原来的数值预测转化为概率区间上的预测.同时,在利用加权马尔可夫链的预测信息之后,也提高了预测的精度.最后,将改进模型应用于江苏省全社会用电量的预测分析,实验结果表明优化的支持向量模型优于其它对比模型,有较高的泛化能力和预测精度.     

Novel isocyanate-free self-curable cathodically depositable epoxy coatings: Influence of epoxy groups on coating properties

Novel self-curable cathodically depositable coatings were developed from glycidyl functional epoxy ester-acrylic graft co-polymer (EEAG) without using any external crosslinking agents. The EEAG-amine adducts (EEAGAs) were prepared by reacting EEAG with varying amount of diethanolamine (DEoA) which are neutralized with acid and dispersed in deionised water to give stable dispersion for cathodic electrodeposition (CED) coatings. The dispersions were cathodically electrodeposited on phosphated steel panels and thermally cured to give uniform coating. The coatings were evaluated for different mechanical, chemical and corrosion resistance properties. The coatings were evaluated for their thermal properties using thermo gravimetric analysis (TGA). The final properties of the coatings were found to be affected by the amount of amine reacted with epoxy. The coating films showed good overall performance properties for their use in coating industry.     

基于Matlab的加权随机点名提问系统设计

该文从教学需求出发,设计一套具有权重的随机点名课堂提问系统,其目的是提高课堂教学质量与学生参与的积极性。该系统具有两个方面的功能,第一,可以避免教师在课堂教学中的带有个人感情色彩的提问偏重,给予每个学生相对均等的回答课堂提问的机会;第二,可以根据学生知识掌握情况以及课堂问题难易程度,适度调节随机点名的权重分配,提高学生问题回答质量与课堂效率,将课堂提问在教学环节中发挥到最大的作用。     

A small samples training framework for deep Learning-based automatic information extraction: Case study of construction accident news reports analysis

Knowledge management is crucial for construction safety management. Widely collected and well-organized safety-related documents are recognized to be significant in raising the workers' security awareness and then to prevent hazards and accidents. To improve document processing efficiency, automatic information extraction plays an important role. However, currently, automatic information extraction modeling requires large scale training datasets. It is a big challenge for the engineering industry, especially for the fields which heavily rely on the experts’ knowledge. Limited data sources, and high time and labor costs make it not practical to establish a large-scale dataset. This work proposed a natural language data augmentation-based small samples training framework for automatic information extraction modeling. With the designed cross combination-based text data augmentation algorithm, the deep neural network can be employed to build up automatic information extraction models without large-scale raw data and manual annotations. Characters semantic coding is employed to avoid word segmentation and make sure that the framework can be utilized in different writing language systems. The BiLSTM-CRF model is adopted as the detection core to conduct character classification. Through a case study of two independent accident news report datasets analysis, the proposed framework has been validated. A reliable and robust automatic information extraction model can be established, even though with small samples training.     

面向物联网应用的SoC安全检查架构设计

物联网（IoT）应用的快速发展和软硬件开源化趋势使得IoT设备所面临的硬件安全威胁日益严峻,尤其是利用运行时条件触发的系统级攻击,很难通过传统测试方法进行检测和防御,需要提供运行时安全检查机制。分析IoT系统芯片面临的安全威胁,结合数据加密传输路径中的攻击、任务流和检查内容,设计4条功能完整性安全检查策略,搭建SoC安全策略检查架构并植入运行时触发硬件木马。仿真结果显示,运行时策略检查状态机可以检查出加密核、内存和UART接口的功能完整性问题,并通过发送错误中断信号进行反馈,证明了所设计的系统级安全策略检查架构的正确性与有效性。