Because the hydraulic directional valve usually works in a bad working environment and is disturbed by multi-factor noise,the traditional single sensor monitoring technology is difficult to use for an accurate diagnos...Because the hydraulic directional valve usually works in a bad working environment and is disturbed by multi-factor noise,the traditional single sensor monitoring technology is difficult to use for an accurate diagnosis of it.Therefore,a fault diagnosis method based on multi-sensor information fusion is proposed in this paper to reduce the inaccuracy and uncertainty of traditional single sensor information diagnosis technology and to realize accurate monitoring for the location or diagnosis of early faults in such valves in noisy environments.Firstly,the statistical features of signals collected by the multi-sensor are extracted and the depth features are obtained by a convolutional neural network(CNN)to form a complete and stable multi-dimensional feature set.Secondly,to obtain a weighted multi-dimensional feature set,the multi-dimensional feature sets of similar sensors are combined,and the entropy weight method is used to weight these features to reduce the interference of insensitive features.Finally,the attention mechanism is introduced to improve the dual-channel CNN,which is used to adaptively fuse the weighted multi-dimensional feature sets of heterogeneous sensors,to flexibly select heterogeneous sensor information so as to achieve an accurate diagnosis.Experimental results show that the weighted multi-dimensional feature set obtained by the proposed method has a high fault-representation ability and low information redundancy.It can diagnose simultaneously internal wear faults of the hydraulic directional valve and electromagnetic faults of actuators that are difficult to diagnose by traditional methods.This proposed method can achieve high fault-diagnosis accuracy under severe working conditions.展开更多
This paper proposes a novel method for image magnification by exploiting the property that the intensity of an image varies along the direction of the gradient very quickly. It aims to maintain sharp edges and clear d...This paper proposes a novel method for image magnification by exploiting the property that the intensity of an image varies along the direction of the gradient very quickly. It aims to maintain sharp edges and clear details. The proposed method first calculates the gradient of the low-resolution image by fitting a surface with quadratic polynomial precision. Then,bicubic interpolation is used to obtain initial gradients of the high-resolution(HR) image. The initial gradients are readjusted to find the constrained gradients of the HR image, according to spatial correlations between gradients within a local window. To generate an HR image with high precision, a linear surface weighted by the projection length in the gradient direction is constructed. Each pixel in the HR image is determined by the linear surface. Experimental results demonstrate that our method visually improves the quality of the magnified image. It particularly avoids making jagged edges and bluring during magnification.展开更多
The purpose of this study was to investigate the repair of the osteoarthritis（OA）-induced car- tilage injury by transfecting the new TGF-β3 fusion protein （LAP-MMP-mTGF-β3） with targeted ther- apy function into ...The purpose of this study was to investigate the repair of the osteoarthritis（OA）-induced car- tilage injury by transfecting the new TGF-β3 fusion protein （LAP-MMP-mTGF-β3） with targeted ther- apy function into the bone marrow-derived mesenchymal stem cells （MSCs） in rats. The recombinant of plRES-EGFP-MMP was constructed by combination of DNA encoding MMP enzyme cutting site and eukaryotic expression vector plRES-EGFP. LAP and mTGF-β3 fragments were obtained from rat em- bryos by RT-PCR and inserted into the upstream and downstream of MMP from plRES-EGFP-MMP respectively, so as to construct the recombinant plasmid ofplRES-EGFP-LAP-MMP-mTGF-β3, plRES- EGFP-LAP-MMP-mTGF-β3 was transfected into rat MSCs. The genetically modified MSCs were cul- tured in medium with MMP-1 or not. The transfected MSCs were transplanted in the rat OA models. The OA animal models were surgically induced by anterior cruciate ligament transaction （ACLT）. The pathological changes were observed under a microscope by HE staining, Alcian blue, Safranin-fast Gre- en and graded by Mankin＇s scale, plRES-EGFP-LAP-MMP-mTGF-β3 was successfully constructed by means of enzyme cutting and sequencing, and the mTGF-β3 fusion protein （39 kD） was certified by Western blotting. Those genetically modified MSCs could differentiate into chondrocytes induced by MMP and secrete the relevant-matrix. The transfected MSCs could promote chondrogenesis and matrix production in rat OA models in vivo. It was concluded that a new fusion protein LAP-MMP-mTGF-β3 was constructed successfully by gene engineering, and could be used to repair the OA-induced cartilage injury.展开更多
为解决当前入侵检测算法对于网络入侵的多分类准确率普遍不高的问题,鉴于网络入侵数据具有时间序列特性,提出一种融合WaveNet和双向门控循环单元(bi-directional gated recurrent unit, BiGRU)的网络入侵检测方法。为解决原始攻击数据...为解决当前入侵检测算法对于网络入侵的多分类准确率普遍不高的问题,鉴于网络入侵数据具有时间序列特性,提出一种融合WaveNet和双向门控循环单元(bi-directional gated recurrent unit, BiGRU)的网络入侵检测方法。为解决原始攻击数据分布广、离散性强的问题,首先对数据进行独热编码及归一化处理,之后使用WaveNet进行卷积操作,对数据进行序列缩短处理,同时使用最大、平均池化融合的方法全面提取数据特征,最后由BiGRU完成对模型的训练并实现分类。基于NSL-KDD、UNSW-NB15以及CIC-IDS2017数据集进行了对比实验,结果表明,所提方法对于上述数据集的准确率分别能够达到99.62%、83.98%以及99.86%,较同类型的CNN-BiLSTM分别提升了0.4%、1.9%以及0.1%。展开更多
基金supported by the National Natural Science Foundation of China(Nos.51805376 and U1709208)the Zhejiang Provincial Natural Science Foundation of China(Nos.LY20E050028 and LD21E050001)。
文摘Because the hydraulic directional valve usually works in a bad working environment and is disturbed by multi-factor noise,the traditional single sensor monitoring technology is difficult to use for an accurate diagnosis of it.Therefore,a fault diagnosis method based on multi-sensor information fusion is proposed in this paper to reduce the inaccuracy and uncertainty of traditional single sensor information diagnosis technology and to realize accurate monitoring for the location or diagnosis of early faults in such valves in noisy environments.Firstly,the statistical features of signals collected by the multi-sensor are extracted and the depth features are obtained by a convolutional neural network(CNN)to form a complete and stable multi-dimensional feature set.Secondly,to obtain a weighted multi-dimensional feature set,the multi-dimensional feature sets of similar sensors are combined,and the entropy weight method is used to weight these features to reduce the interference of insensitive features.Finally,the attention mechanism is introduced to improve the dual-channel CNN,which is used to adaptively fuse the weighted multi-dimensional feature sets of heterogeneous sensors,to flexibly select heterogeneous sensor information so as to achieve an accurate diagnosis.Experimental results show that the weighted multi-dimensional feature set obtained by the proposed method has a high fault-representation ability and low information redundancy.It can diagnose simultaneously internal wear faults of the hydraulic directional valve and electromagnetic faults of actuators that are difficult to diagnose by traditional methods.This proposed method can achieve high fault-diagnosis accuracy under severe working conditions.
基金supported by the National Natural Science Foundation of China (Nos. 61332015, 61373078, 61572292, and 61272430)National Research Foundation for the Doctoral Program of Higher Education of China (No. 20110131130004)
文摘This paper proposes a novel method for image magnification by exploiting the property that the intensity of an image varies along the direction of the gradient very quickly. It aims to maintain sharp edges and clear details. The proposed method first calculates the gradient of the low-resolution image by fitting a surface with quadratic polynomial precision. Then,bicubic interpolation is used to obtain initial gradients of the high-resolution(HR) image. The initial gradients are readjusted to find the constrained gradients of the HR image, according to spatial correlations between gradients within a local window. To generate an HR image with high precision, a linear surface weighted by the projection length in the gradient direction is constructed. Each pixel in the HR image is determined by the linear surface. Experimental results demonstrate that our method visually improves the quality of the magnified image. It particularly avoids making jagged edges and bluring during magnification.
基金supported by the National Natural Science Foundation of China(No.81101376)
文摘The purpose of this study was to investigate the repair of the osteoarthritis（OA）-induced car- tilage injury by transfecting the new TGF-β3 fusion protein （LAP-MMP-mTGF-β3） with targeted ther- apy function into the bone marrow-derived mesenchymal stem cells （MSCs） in rats. The recombinant of plRES-EGFP-MMP was constructed by combination of DNA encoding MMP enzyme cutting site and eukaryotic expression vector plRES-EGFP. LAP and mTGF-β3 fragments were obtained from rat em- bryos by RT-PCR and inserted into the upstream and downstream of MMP from plRES-EGFP-MMP respectively, so as to construct the recombinant plasmid ofplRES-EGFP-LAP-MMP-mTGF-β3, plRES- EGFP-LAP-MMP-mTGF-β3 was transfected into rat MSCs. The genetically modified MSCs were cul- tured in medium with MMP-1 or not. The transfected MSCs were transplanted in the rat OA models. The OA animal models were surgically induced by anterior cruciate ligament transaction （ACLT）. The pathological changes were observed under a microscope by HE staining, Alcian blue, Safranin-fast Gre- en and graded by Mankin＇s scale, plRES-EGFP-LAP-MMP-mTGF-β3 was successfully constructed by means of enzyme cutting and sequencing, and the mTGF-β3 fusion protein （39 kD） was certified by Western blotting. Those genetically modified MSCs could differentiate into chondrocytes induced by MMP and secrete the relevant-matrix. The transfected MSCs could promote chondrogenesis and matrix production in rat OA models in vivo. It was concluded that a new fusion protein LAP-MMP-mTGF-β3 was constructed successfully by gene engineering, and could be used to repair the OA-induced cartilage injury.
文摘为解决当前入侵检测算法对于网络入侵的多分类准确率普遍不高的问题,鉴于网络入侵数据具有时间序列特性,提出一种融合WaveNet和双向门控循环单元(bi-directional gated recurrent unit, BiGRU)的网络入侵检测方法。为解决原始攻击数据分布广、离散性强的问题,首先对数据进行独热编码及归一化处理,之后使用WaveNet进行卷积操作,对数据进行序列缩短处理,同时使用最大、平均池化融合的方法全面提取数据特征,最后由BiGRU完成对模型的训练并实现分类。基于NSL-KDD、UNSW-NB15以及CIC-IDS2017数据集进行了对比实验,结果表明,所提方法对于上述数据集的准确率分别能够达到99.62%、83.98%以及99.86%,较同类型的CNN-BiLSTM分别提升了0.4%、1.9%以及0.1%。
