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复合材料层合板的强度鲁棒性特征 被引量:4
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作者 陈建桥 李峰 +1 位作者 杨能仁 竹园茂男 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2003年第1期111-113,共3页
针对复合材料强度行为的复杂性和准确预测的困难 ,首次提出复合材料强度鲁棒性的概念 ,即研究复合材料强度相对各种影响因素的变动所具有的稳定性特征 ,为复合材料的合理设计与利用提供新的分析思路和手段 .通过对CFRP层合板进行试验和... 针对复合材料强度行为的复杂性和准确预测的困难 ,首次提出复合材料强度鲁棒性的概念 ,即研究复合材料强度相对各种影响因素的变动所具有的稳定性特征 ,为复合材料的合理设计与利用提供新的分析思路和手段 .通过对CFRP层合板进行试验和数值分析对比研究 ,讨论了加载方向对初始层失效应力 (初始强度 )的影响 .在确认有限元计算的有效性之后 ,进一步讨论了加载方向以及单层板弹性常数的小范围变动对强度的影响 .结果表明 ,为了获得较稳定的强度特征 ,当弹性模量E1较小时 ,应尽量控制E1本身的变动 .而在E1较大的情况下 。 展开更多
关键词 层合板 纤维复合材料 初始层失效应力 强度鲁棒性 有限元分析 拉伸强度
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强照度鲁棒的SLAM算法 被引量:3
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作者 孙柏 郭中华 郑果果 《科学技术与工程》 北大核心 2019年第33期266-271,共6页
ORB-SLAM算法通过ORB(oriented FAST and rotated BRIEF)描述子匹配特征点,其光照强度鲁棒性不足,难以在光照条件较差时应用。对此,利用HSV空间中色调(Hue)光照强度鲁棒性较强的特点,提出通过高斯混合模型于前端匹配时将色调加入ORB特... ORB-SLAM算法通过ORB(oriented FAST and rotated BRIEF)描述子匹配特征点,其光照强度鲁棒性不足,难以在光照条件较差时应用。对此,利用HSV空间中色调(Hue)光照强度鲁棒性较强的特点,提出通过高斯混合模型于前端匹配时将色调加入ORB特征匹配的方法,以解决特征匹配时光照强度鲁棒性不足的问题。通过光束平差法(bundle adjustment)进行位姿优化后,基于贝叶斯滤波模型,根据当前场景构建视觉字典以完成回环检测,提高SLAM算法精度。实验结果表明,相比ORB-SLAM算法,在保证实时性不变的情况下,本文算法精度与光照强度鲁棒性有明显提升。 展开更多
关键词 光照强度鲁棒性 HSV空间 高斯混合模型 视觉字典 贝叶斯滤波模型
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Whisper intelligibility enhancement based on noise robust feature and SVM 被引量:2
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作者 周健 赵力 +1 位作者 梁瑞宇 方贤勇 《Journal of Southeast University(English Edition)》 EI CAS 2012年第3期261-265,共5页
A machine learning based speech enhancement method is proposed to improve the intelligibility of whispered speech. A binary mask estimated by a two-class support vector machine (SVM) classifier is used to synthesize... A machine learning based speech enhancement method is proposed to improve the intelligibility of whispered speech. A binary mask estimated by a two-class support vector machine (SVM) classifier is used to synthesize the enhanced whisper. A novel noise robust feature called Gammatone feature cosine coefficients (GFCCs) extracted by an auditory periphery model is derived and used for the binary mask estimation. The intelligibility performance of the proposed method is evaluated and compared with the traditional speech enhancement methods. Objective and subjective evaluation results indicate that the proposed method can effectively improve the intelligibility of whispered speech which is contaminated by noise. Compared with the power subtract algorithm and the log-MMSE algorithm, both of which do not improve the intelligibility in lower signal-to-noise ratio (SNR) environments, the proposed method has good performance in improving the intelligibility of noisy whisper. Additionally, the intelligibility of the enhanced whispered speech using the proposed method also outperforms that of the corresponding unprocessed noisy whispered speech. 展开更多
关键词 whispered speech intelligibility enhancement noise robust feature machine learning
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Robustness of reinforced gradient-type iterative learning control for batch processes with Gaussian noise
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作者 Xuan Yang Xiao'e Ruan 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2016年第5期623-629,共7页
In this paper,a reinforced gradient-type iterative learning control pro file is proposed by making use of system matrices and a proper learning step to improve the tracking performance of batch processes disturbed by ... In this paper,a reinforced gradient-type iterative learning control pro file is proposed by making use of system matrices and a proper learning step to improve the tracking performance of batch processes disturbed by external Gaussian white noise.The robustness is analyzed and the range of the step is speci fied by means of statistical technique and matrix theory.Compared with the conventional one,the proposed algorithm is more ef ficient to resist external noise.Numerical simulations of an injection molding process illustrate that the proposed scheme is feasible and effective. 展开更多
关键词 Batch process lterative learning control Reinforced gradient Gaussian white noise
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