A transformer-in-package(TiP)isolated direct current-direct current(DC-DC)converter using glass-based fan-out wafer-level packaging(FOWLP)is proposed.By using 3-layer redistribution layers(RDLs),both the transformer a...A transformer-in-package(TiP)isolated direct current-direct current(DC-DC)converter using glass-based fan-out wafer-level packaging(FOWLP)is proposed.By using 3-layer redistribution layers(RDLs),both the transformer and interconnections are built without an additional transformer chip,and the converter only has 2 dies:a transmitter(TX)chip and a receiver(RX)chip.The proposed solution results in a significant reduction in the cost and makes major improvements in the form factor and power density.Moreover,the transformer built by the RDLs achieves a high quality factor(Q)and high coupling factor(k),and the efficiency of the converter is thus improved.The TX and RX chips were implemented in a 0.18μm Biopolar CMOS DMOS(BCD)process and embedded in a compact package with a size of 5 mm×5 mm.With an output capacitance of 10μF,the converter achieves a peak efficiency of 46.5%at 0.3 W output power and a maximum delivery power of 1.25 W,achieving a maximum power density of 50 mW/mm2.展开更多
Pulmonary vessels extraction is a challenging task in clinical medicine. Many pulmonary diseases are accompanied by the changes of vessel diameters. The vessels and their branches, which exhibit much variability, are ...Pulmonary vessels extraction is a challenging task in clinical medicine. Many pulmonary diseases are accompanied by the changes of vessel diameters. The vessels and their branches, which exhibit much variability, are most important in performing diagnosis and planning the follow-up therapies. In this paper, we propose an efficient approach to pulmonary vessels extraction based on the curve evolution. This approach models the vessels as monotonically marching front under the speed field integrating both the region and the edge information where a new region speed function is designed and integrated with the edge based speed function. Due to the region based speed term, the front could even propagate in small narrow vessel branches. To further improve the segmentation results, a multi-initial fast marching algorithm is developed to fast implement the numerical solution, which may avoid the monotonically marching front leaking out of the weak boundary too earlier and also reduce the computational cost. The validity of our approach is demonstrated by CT pulmonary vessels extraction. Experiments show that the segmentation results by our approach, especially on the narrow thin vessel branches extraction, are more precise than that of the existing method.展开更多
Following developments in artificial intelligence and big data technology,the level of intelligence in intelligent vessels has been improved.Intelligent vessels are being developed into unmanned surface vehicles(USVs)...Following developments in artificial intelligence and big data technology,the level of intelligence in intelligent vessels has been improved.Intelligent vessels are being developed into unmanned surface vehicles(USVs),which have widely interested scholars in the shipping industry due to their safety,high efficiency,and energy-saving qualities.Considering the current development of USVs,the types of USVs and applications domestically and internationally are being investigated.USVs emerged with technological developments and their characteristics show some differences from traditional vessels,which brings some problems and advantages for their application.Certain maritime regulations are not applicable to USVs and must be changed.The key technologies in the current development of USVs are being investigated.While the level of intelligence is improving,the protection of cargo cannot be neglected.An innovative approach to the internal structure of USVs is proposed,where the inner hull can automatically recover its original state in case of outer hull tilting.Finally,we summarize the development status of USVs,which are an inevitable direction of development in the marine field.展开更多
针对基于三电平变换器的电磁法发射机中功率开关器件开路故障特点和复杂工作环境,提出了针对性的故障诊断方法。该方法以变换器输出电压为原始信号,利用变采样频率的小波包分析方法提取特征向量,以提高对信号频率的分辨准确度。然后利...针对基于三电平变换器的电磁法发射机中功率开关器件开路故障特点和复杂工作环境,提出了针对性的故障诊断方法。该方法以变换器输出电压为原始信号,利用变采样频率的小波包分析方法提取特征向量,以提高对信号频率的分辨准确度。然后利用核主成分分析对特征向量进行降维,可以简化分类器的结构,提高诊断时间。采用概率神经网络建立故障分类器,可以提高诊断方法的鲁棒性。在一台5 k W电磁法三电平变换器实验样机上进行实验和分析,实验结果表明该方法可以准确地进行故障诊断,有较好的诊断准确度、实时性和较强的鲁棒性,具有一定的工程应用价值。展开更多
基金supported in part by the National Natural Science Foundation of China(62104220)in part by the National Key Research and Development Program of China(2019YFB2204800).
文摘A transformer-in-package(TiP)isolated direct current-direct current(DC-DC)converter using glass-based fan-out wafer-level packaging(FOWLP)is proposed.By using 3-layer redistribution layers(RDLs),both the transformer and interconnections are built without an additional transformer chip,and the converter only has 2 dies:a transmitter(TX)chip and a receiver(RX)chip.The proposed solution results in a significant reduction in the cost and makes major improvements in the form factor and power density.Moreover,the transformer built by the RDLs achieves a high quality factor(Q)and high coupling factor(k),and the efficiency of the converter is thus improved.The TX and RX chips were implemented in a 0.18μm Biopolar CMOS DMOS(BCD)process and embedded in a compact package with a size of 5 mm×5 mm.With an output capacitance of 10μF,the converter achieves a peak efficiency of 46.5%at 0.3 W output power and a maximum delivery power of 1.25 W,achieving a maximum power density of 50 mW/mm2.
基金Supported by the national Natural Science Foundation of China under Grant No.6 0 2 710 2 2 and the Creative Research Group Science Foundation of China under Grant No.6 0 0 2 4 30 1
文摘Pulmonary vessels extraction is a challenging task in clinical medicine. Many pulmonary diseases are accompanied by the changes of vessel diameters. The vessels and their branches, which exhibit much variability, are most important in performing diagnosis and planning the follow-up therapies. In this paper, we propose an efficient approach to pulmonary vessels extraction based on the curve evolution. This approach models the vessels as monotonically marching front under the speed field integrating both the region and the edge information where a new region speed function is designed and integrated with the edge based speed function. Due to the region based speed term, the front could even propagate in small narrow vessel branches. To further improve the segmentation results, a multi-initial fast marching algorithm is developed to fast implement the numerical solution, which may avoid the monotonically marching front leaking out of the weak boundary too earlier and also reduce the computational cost. The validity of our approach is demonstrated by CT pulmonary vessels extraction. Experiments show that the segmentation results by our approach, especially on the narrow thin vessel branches extraction, are more precise than that of the existing method.
基金Shanghai High-level Local University Innovation Team(Maritime Safety&Technical Support)the National Natural Science Foundation of China (Grant No. 42176217)
文摘Following developments in artificial intelligence and big data technology,the level of intelligence in intelligent vessels has been improved.Intelligent vessels are being developed into unmanned surface vehicles(USVs),which have widely interested scholars in the shipping industry due to their safety,high efficiency,and energy-saving qualities.Considering the current development of USVs,the types of USVs and applications domestically and internationally are being investigated.USVs emerged with technological developments and their characteristics show some differences from traditional vessels,which brings some problems and advantages for their application.Certain maritime regulations are not applicable to USVs and must be changed.The key technologies in the current development of USVs are being investigated.While the level of intelligence is improving,the protection of cargo cannot be neglected.An innovative approach to the internal structure of USVs is proposed,where the inner hull can automatically recover its original state in case of outer hull tilting.Finally,we summarize the development status of USVs,which are an inevitable direction of development in the marine field.
文摘针对基于三电平变换器的电磁法发射机中功率开关器件开路故障特点和复杂工作环境,提出了针对性的故障诊断方法。该方法以变换器输出电压为原始信号,利用变采样频率的小波包分析方法提取特征向量,以提高对信号频率的分辨准确度。然后利用核主成分分析对特征向量进行降维,可以简化分类器的结构,提高诊断时间。采用概率神经网络建立故障分类器,可以提高诊断方法的鲁棒性。在一台5 k W电磁法三电平变换器实验样机上进行实验和分析,实验结果表明该方法可以准确地进行故障诊断,有较好的诊断准确度、实时性和较强的鲁棒性,具有一定的工程应用价值。
