Context-free grammars to detect straight segments and a novel polygonal approximation method

A new method for the polygonal approximation is presented. The method is based on the search for break points through a context-free grammar, that accepts digital straight segments with loss of information, as well as the decrease in the error committed employing the comparison of a tolerable error. We present an application of our method to different sets of objects widely used, as well as a comparison of our results with the best results reported in the literature, proving that our method achieves better values of error criteria. Besides, a new way to find polygonal approximations, with context-free grammars to recognize digital straight segments without loss of pixels, it is also addressed.     

Phase separation studies in RIM polyurethanes catalyst and hard segment crystallinity effects

Polyurethanes were prepared from pure 4,4′-diphenylmethane diisocyanate (MDI), 1,4-butane diol (BDO) or 1,2-ethane diol (EDO) and α,ω-hydroxyl poly(propylene oxide) (PPO) by reaction injection moulding (RIM). Hard segment (MDI + BDO or EDO) level was 45–50 wt%. The PPO had about 20% ethylene oxide copolymerized in at the chain ends to provide 80% primary OH end groups. M_n was varied from 2000 to 4000. Dibutyl tin dilaurate catalyst and mould temperature were varied. Dynamic mechanical, wide-angle X-ray, differential scanning calorimeter, molecular weight and tensile elongation measurements were made on the RIM polyurethanes. At low reaction rates (low catalyst or temperature) highly crystalline, well phase separated but low molecular weight polymers were produced. At high catalyst or temperature levels more poorly phase separated but high molecular weight, tough polymers resulted. Higher M_n PPO gave better phase separation and EDO gave higher melting temperatures. Preventing hard segment crystallinity by substituting asymmetric MDI or glycols resulted in phase compatibility.     

激光焊接超细基胎体金刚石薄壁钻

采用激光焊接超细预合金粉胎体，开发了新的薄壁钻产品，通过对与现有的产品工艺、性能测试以及实际使用分析对比，结果表明：激光焊接与普通钎焊相比结合强度提高2－3倍，克服了胎体脱落问题，胎体耐磨性提高了50％－120％，其中轴向磨损速率提高1．2倍；钻削速度提高30．4％，工矿适应性增加，使用寿命提高25％－108％。     

发电机推力轴承温度量异常的处理方法

分析湖北黄龙滩水力发电厂3、4号水轮发电机自投运以来推力轴承瓦温度计引线频繁断线及温度量不能正常显示上传的原因,介绍相关改进优化处理方法。     

Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network

Effective tool wear monitoring (TWM) is essential for accurately assessing the degree of tool wear and for timely preventive maintenance. Existing data-driven monitoring methods mainly rely on complex feature engineering, which reduces the monitoring efficiency. This paper proposes a novel TWM model based on a parallel residual and stacked bidirectional long short-term memory (PRes–SBiLSTM) network. First, a parallel residual network (PResNet) is used to extract the multi-scale local features of sensor signals adaptively. Subsequently, a stacked bidirectional long short-term memory (SBiLSTM) network is used to obtain the time-series features related to the tool wear characteristics. Finally, the predicted tool wear value is outputted through a fully connected network. A smoothing correction method is applied to improve the prediction accuracy. The proposed model is experimentally verified to have a high prediction accuracy without sacrificing its generalization ability. A TWM system framework based on the PRes–SBiLSTM network is proposed, which has a certain reference value for TWM in actual industrial environments.     

一种鲁棒的可视外壳生成算法*

针对各种传统可视外壳生成算法中数据冗余、精确度低、健壮性不足等问题, 提出了一种新的可视外壳生成算法,即采用加权线段求交、线段集合中心线性过滤、多边形边界检测等方法重建物体模型。与传统方法相比,本算法能够更稳定地计算线段交集,表面边界提取更加准确,重建结果精确逼近真实物体。实验表明, 通过该算法计算的物体可视外壳能够更好地逼近真实模型,精度高。     

基于ViLBERT与BiLSTM的图像描述算法

传统图像描述算法存在提取图像特征利用不足、缺少上下文信息学习和训练参数过多的问题,提出基于ViLBERT和双层长短期记忆网络(BiLSTM)结合的图像描述算法.使用ViLBERT作为编码器,ViLBERT模型能将图片特征和描述文本信息通过联合注意力的方式进行结合,输出图像和文本的联合特征向量.解码器使用结合注意力机制的BiLSTM来生成图像描述.该算法在MSCOCO2014数据集进行训练和测试,实验评价标准BLEU-4和BLEU得分分别达到36.9和125.2,优于基于传统图像特征提取结合注意力机制图像描述算法.通过生成文本描述对比可看出,该算法生成的图像描述能够更细致地表述图片信息.     

基于水流与地质双因素的险工险段成因调查研究

在河势水流对险工险段成因研究成果的基础上,重点分析了堤基地质条件的影响。对广东省省管河道范围内的历史险工险段进行调研,梳理出了不同成因险段占比。以此为基础,选取江新联围进行水流与地质双因素的险工险段成因调查研究,通过水文测试、河床质取样以及室内试验,分析了各历史险段的成因。结果表明除水流条件较差外,各险段堤基也多以软土为主。基于此,增选了3个河势条件较差的非险段作为参照对比组,结果显示若地质条件较好,即使水流条件较差也不会形成险段。调查分析表明,河道险工险段的成因与河势水流和地质因素均密切相关,尤其是分布于软土地基区域的堤段,地质因素更是不可忽视。     

飞腾平台中硬件数据压缩的驱动设计与实现

数据压缩是有效处理大数据的关键技术,在飞腾处理器平台上基于zlib库的数据压缩通常采用软件的方式实现,在数据处理量大而且实时性要求较高的情况下,已经难以满足需求。针对这个问题,通过研究zlib编程函数库,结合飞腾处理器的特性,完成了飞腾平台中硬件数据压缩的驱动设计与实现,其中提出了双向DMA传输技术和基于一致性内存的命令环机制,从而进一步提高了基于硬件的数据压缩的效率。通过实验证实了飞腾平台中采用硬件数据压缩改进的有效性。     

一种女书手写字符规范字形自动生成方法

中国女书是具有鲜明民族特色的文字,目前国内还没有公认的女书规范字库。针对手写体文字规范化字体生成过程多采用人工修正方式、效率低下的现状,该文设计了一种女书手写字符规范字自动生成方法。基于手写文字样本,提取其单像素骨架,并结合字符轮廓信息进行骨架畸变点校正;然后提取骨架特征点和笔段,根据笔段连通性和交角情况建立笔段关联矩阵;基于笔段关联矩阵由笔段恢复笔画,获取笔画路径关键点序列;最后基于三次Bezier曲线重绘字符笔画并均匀加粗,形成笔画粗细一致、平滑无毛刺、无畸变的规范字体。实验结果表明,该方法自动便捷,效果良好,效率优于人工方式,经改进后可以推广到其他手写字符的规范化过程。