由于蓄电池的不一致性,导致光伏储能系统容量和寿命都显著下降,影响光伏系统安全。文章将分布式模块化变流器技术、物联网技术、智能控制技术和蓄电池相结合,设计了一种新型智慧蓄电池的结构,提出基于智慧蓄电池的光伏储能系统构建方法...由于蓄电池的不一致性,导致光伏储能系统容量和寿命都显著下降,影响光伏系统安全。文章将分布式模块化变流器技术、物联网技术、智能控制技术和蓄电池相结合,设计了一种新型智慧蓄电池的结构,提出基于智慧蓄电池的光伏储能系统构建方法,并分析了其总体控制策略和蓄电池SOC(State of Charge)均衡控制策略,进行了蓄电池SOC均衡控制实验和光伏储能系统能量消纳能力对比实验。实验结果表明,基于智慧蓄电池的光伏储能系统能够稳定运行,其中分布式模块化变流器既可以作为储能变流器,同时还能灵活有效地对蓄电池SOC进行均衡,提高了光伏储能系统的能量消纳能力。展开更多
The modification effects of ytterbium(Yb), Na_3PO_4 and Yb + Na_3PO_4 on primary Mg_2Si phase in Mg-4Si alloys were investigated by means of X-ray diffraction(XRD), optical microscopy(OM), scanning electron microscopy...The modification effects of ytterbium(Yb), Na_3PO_4 and Yb + Na_3PO_4 on primary Mg_2Si phase in Mg-4Si alloys were investigated by means of X-ray diffraction(XRD), optical microscopy(OM), scanning electron microscopy(SEM) and energy dispersive spectroscopy(EDS) analysis in this work. The results indicate that the morphology of the primary Mg_2Si phase apparently changes from coarse dendrites to fine dispersive polygonal particles and the mean size decreases from 276.6 μm to 7.1 μm, with combined modification of 0.8wt.% Yb and 2.64 wt.% Na_3PO_4. Such a morphological evolution results in improvement in the ultimate tensile strength and elongation of the alloys as compared to the base alloy. This may be attributed to the formation of the YbP particles that acted as the heterogeneous nucleation substrates for the primary Mg_2Si particles, resulting in a refined distribution of these precipitates. The results of XRD examination show that there was no reaction between Si and Yb or Na_3PO_4. Solo addition of Yb or Na_3PO_4 into the melt has no real modification effect on the microstructure, but the primary Mg_2Si particles and α-Mg phases become coarser than that in the unmodified alloy.展开更多
In order to modify in-situ synthesized Mg_2Si particles in Mg_2Si/Mg-4Si composite, the modif ication effect of calcium-magnesia phosphate fertilizer on primary Mg_2Si phase in Mg_2Si/Mg-4Si composite was investigated...In order to modify in-situ synthesized Mg_2Si particles in Mg_2Si/Mg-4Si composite, the modif ication effect of calcium-magnesia phosphate fertilizer on primary Mg_2Si phase in Mg_2Si/Mg-4Si composite was investigated by means of X-ray diffraction(XRD), optical microscopy(OM), scanning electron microscopy(SEM) and energy dispersive spectroscopy(EDS) analysis. The results indicate that the morphology of the primary Mg_2Si phase apparently changes from coarse dendrites to f ine dispersive polygonal particles, and the mean size is decreased from 277 μm to 17 μm. With the addition of 4.0wt.% calcium-magnesia phosphate fertilizer as a modif ier, the ultimate tensile strength and elongation of the Mg_2Si/Mg-4Si composite are increased from 78.7 MPa and 2.1% to 105.2 MPa and 2.6%, as compared to those of the base composite, which is probably attributed to the formation of the phosphorous compound and the cluster of Ca compounds that acted as the heterogeneous nucleation substrates of the primary Mg_2Si particles, resulting in a ref ined distribution of these precipitates.展开更多
As a major component of speech signal processing, speech emotion recognition has become increasingly essential to understanding human communication. Benefitting from deep learning, many researchers have proposed vario...As a major component of speech signal processing, speech emotion recognition has become increasingly essential to understanding human communication. Benefitting from deep learning, many researchers have proposed various unsupervised models to extract effective emotional features and supervised models to train emotion recognition systems. In this paper, we utilize semi-supervised ladder networks for speech emotion recognition. The model is trained by minimizing the supervised loss and auxiliary unsupervised cost function. The addition of the unsupervised auxiliary task provides powerful discriminative representations of the input features, and is also regarded as the regularization of the emotional supervised task. We also compare the ladder network with other classical autoencoder structures. The experiments were conducted on the interactive emotional dyadic motion capture (IEMOCAP) database, and the results reveal that the proposed methods achieve superior performance with a small number of labelled data and achieves better performance than other methods.展开更多
Facial emotion recognition is an essential and important aspect of the field of human-machine interaction.Past research on facial emotion recognition focuses on the laboratory environment.However,it faces many challen...Facial emotion recognition is an essential and important aspect of the field of human-machine interaction.Past research on facial emotion recognition focuses on the laboratory environment.However,it faces many challenges in real-world conditions,i.e.,illumination changes,large pose variations and partial or full occlusions.Those challenges lead to different face areas with different degrees of sharpness and completeness.Inspired by this fact,we focus on the authenticity of predictions generated by different<emotion,region>pairs.For example,if only the mouth areas are available and the emotion classifier predicts happiness,then there is a question of how to judge the authenticity of predictions.This problem can be converted into the contribution of different face areas to different emotions.In this paper,we divide the whole face into six areas:nose areas,mouth areas,eyes areas,nose to mouth areas,nose to eyes areas and mouth to eyes areas.To obtain more convincing results,our experiments are conducted on three different databases:facial expression recognition+(FER+),real-world affective faces database(RAF-DB)and expression in-the-wild(ExpW)dataset.Through analysis of the classification accuracy,the confusion matrix and the class activation map(CAM),we can establish convincing results.To sum up,the contributions of this paper lie in two areas:1)We visualize concerned areas of human faces in emotion recognition;2)We analyze the contribution of different face areas to different emotions in real-world conditions through experimental analysis.Our findings can be combined with findings in psychology to promote the understanding of emotional expressions.展开更多
A class of finitely continuous topological spaces(in short,FC-spaces)is introduced. Some new KKM type theorems and coincidence theorems involving admissible set-valued map- pings and the set-valued mapping with compac...A class of finitely continuous topological spaces(in short,FC-spaces)is introduced. Some new KKM type theorems and coincidence theorems involving admissible set-valued map- pings and the set-valued mapping with compactly local intersection property are proved in FC- spaces.As applications,some new fixed point theorems are obtained in FC-spaces.These theorems improve and generalize many known results in recent literature.展开更多
Correction to:Semi-supervised Ladder Networks for Speech Emotion Recognition DOI:10.1007/sll633-019-1175-x Authors:Jian-Hua Tao,Jian Huang,Ya Li,Zheng Li-an,Ming-Yue Niu The article Semi-supervised Ladder Networks for...Correction to:Semi-supervised Ladder Networks for Speech Emotion Recognition DOI:10.1007/sll633-019-1175-x Authors:Jian-Hua Tao,Jian Huang,Ya Li,Zheng Li-an,Ming-Yue Niu The article Semi-supervised Ladder Networks for Speech Emotion Recognition written by Jian-Hua Tao,Jian Huang,Ya Li,Zheng Lian and Ming-Yue Niu,was originally published on vol.16,no.4 of International Journal of Automation and Computing without Open Access.展开更多
文摘由于蓄电池的不一致性,导致光伏储能系统容量和寿命都显著下降,影响光伏系统安全。文章将分布式模块化变流器技术、物联网技术、智能控制技术和蓄电池相结合,设计了一种新型智慧蓄电池的结构,提出基于智慧蓄电池的光伏储能系统构建方法,并分析了其总体控制策略和蓄电池SOC(State of Charge)均衡控制策略,进行了蓄电池SOC均衡控制实验和光伏储能系统能量消纳能力对比实验。实验结果表明,基于智慧蓄电池的光伏储能系统能够稳定运行,其中分布式模块化变流器既可以作为储能变流器,同时还能灵活有效地对蓄电池SOC进行均衡,提高了光伏储能系统的能量消纳能力。
基金financially supported by the Fundamental Research Funds for Central Universities(Grant No.:XDJK2015B001)
文摘The modification effects of ytterbium(Yb), Na_3PO_4 and Yb + Na_3PO_4 on primary Mg_2Si phase in Mg-4Si alloys were investigated by means of X-ray diffraction(XRD), optical microscopy(OM), scanning electron microscopy(SEM) and energy dispersive spectroscopy(EDS) analysis in this work. The results indicate that the morphology of the primary Mg_2Si phase apparently changes from coarse dendrites to fine dispersive polygonal particles and the mean size decreases from 276.6 μm to 7.1 μm, with combined modification of 0.8wt.% Yb and 2.64 wt.% Na_3PO_4. Such a morphological evolution results in improvement in the ultimate tensile strength and elongation of the alloys as compared to the base alloy. This may be attributed to the formation of the YbP particles that acted as the heterogeneous nucleation substrates for the primary Mg_2Si particles, resulting in a refined distribution of these precipitates. The results of XRD examination show that there was no reaction between Si and Yb or Na_3PO_4. Solo addition of Yb or Na_3PO_4 into the melt has no real modification effect on the microstructure, but the primary Mg_2Si particles and α-Mg phases become coarser than that in the unmodified alloy.
基金financially supported by the Fundamental Research Funds for Central Universities(Grant No.:XDJK2015B001)
文摘In order to modify in-situ synthesized Mg_2Si particles in Mg_2Si/Mg-4Si composite, the modif ication effect of calcium-magnesia phosphate fertilizer on primary Mg_2Si phase in Mg_2Si/Mg-4Si composite was investigated by means of X-ray diffraction(XRD), optical microscopy(OM), scanning electron microscopy(SEM) and energy dispersive spectroscopy(EDS) analysis. The results indicate that the morphology of the primary Mg_2Si phase apparently changes from coarse dendrites to f ine dispersive polygonal particles, and the mean size is decreased from 277 μm to 17 μm. With the addition of 4.0wt.% calcium-magnesia phosphate fertilizer as a modif ier, the ultimate tensile strength and elongation of the Mg_2Si/Mg-4Si composite are increased from 78.7 MPa and 2.1% to 105.2 MPa and 2.6%, as compared to those of the base composite, which is probably attributed to the formation of the phosphorous compound and the cluster of Ca compounds that acted as the heterogeneous nucleation substrates of the primary Mg_2Si particles, resulting in a ref ined distribution of these precipitates.
基金supported by National Natural Science Foundation of China(Nos.61425017 and 61773379)the National Key Research&Development Plan of China(No.2017YFB1002804)
文摘As a major component of speech signal processing, speech emotion recognition has become increasingly essential to understanding human communication. Benefitting from deep learning, many researchers have proposed various unsupervised models to extract effective emotional features and supervised models to train emotion recognition systems. In this paper, we utilize semi-supervised ladder networks for speech emotion recognition. The model is trained by minimizing the supervised loss and auxiliary unsupervised cost function. The addition of the unsupervised auxiliary task provides powerful discriminative representations of the input features, and is also regarded as the regularization of the emotional supervised task. We also compare the ladder network with other classical autoencoder structures. The experiments were conducted on the interactive emotional dyadic motion capture (IEMOCAP) database, and the results reveal that the proposed methods achieve superior performance with a small number of labelled data and achieves better performance than other methods.
基金supported by the National Key Research & Development Plan of China (No. 2017YFB1002804)National Natural Science Foundation of China (Nos. 61425017, 61773379, 61332017, 61603390 and 61771472)the Major Program for the 325 National Social Science Fund of China (No. 13&ZD189)
文摘Facial emotion recognition is an essential and important aspect of the field of human-machine interaction.Past research on facial emotion recognition focuses on the laboratory environment.However,it faces many challenges in real-world conditions,i.e.,illumination changes,large pose variations and partial or full occlusions.Those challenges lead to different face areas with different degrees of sharpness and completeness.Inspired by this fact,we focus on the authenticity of predictions generated by different<emotion,region>pairs.For example,if only the mouth areas are available and the emotion classifier predicts happiness,then there is a question of how to judge the authenticity of predictions.This problem can be converted into the contribution of different face areas to different emotions.In this paper,we divide the whole face into six areas:nose areas,mouth areas,eyes areas,nose to mouth areas,nose to eyes areas and mouth to eyes areas.To obtain more convincing results,our experiments are conducted on three different databases:facial expression recognition+(FER+),real-world affective faces database(RAF-DB)and expression in-the-wild(ExpW)dataset.Through analysis of the classification accuracy,the confusion matrix and the class activation map(CAM),we can establish convincing results.To sum up,the contributions of this paper lie in two areas:1)We visualize concerned areas of human faces in emotion recognition;2)We analyze the contribution of different face areas to different emotions in real-world conditions through experimental analysis.Our findings can be combined with findings in psychology to promote the understanding of emotional expressions.
基金Foundation item： the Natural Science Foundation of Sichuan Provincial Education Department of China （No. 2003A081 SZD0406）.
文摘A class of finitely continuous topological spaces(in short,FC-spaces)is introduced. Some new KKM type theorems and coincidence theorems involving admissible set-valued map- pings and the set-valued mapping with compactly local intersection property are proved in FC- spaces.As applications,some new fixed point theorems are obtained in FC-spaces.These theorems improve and generalize many known results in recent literature.
文摘Correction to:Semi-supervised Ladder Networks for Speech Emotion Recognition DOI:10.1007/sll633-019-1175-x Authors:Jian-Hua Tao,Jian Huang,Ya Li,Zheng Li-an,Ming-Yue Niu The article Semi-supervised Ladder Networks for Speech Emotion Recognition written by Jian-Hua Tao,Jian Huang,Ya Li,Zheng Lian and Ming-Yue Niu,was originally published on vol.16,no.4 of International Journal of Automation and Computing without Open Access.
