A designed visual geometry group(VGG)-based convolutional neural network(CNN)model with small computational cost and high accuracy is utilized to monitor pulse amplitude modulation-based intensity modulation and direc...A designed visual geometry group(VGG)-based convolutional neural network(CNN)model with small computational cost and high accuracy is utilized to monitor pulse amplitude modulation-based intensity modulation and direct detection channel performance using eye diagram measurements.Experimental results show that the proposed technique can achieve a high accuracy in jointly monitoring modulation format,probabilistic shaping,roll-off factor,baud rate,optical signal-to-noise ratio,and chromatic dispersion.The designed VGG-based CNN model outperforms the other four traditional machine-learning methods in different scenarios.Furthermore,the multitask learning model combined with MobileNet CNN is designed to improve the flexibility of the network.Compared with the designed VGG-based CNN,the MobileNet-based MTL does not need to train all the classes,and it can simultaneously monitor single parameter or multiple parameters without sacrificing accuracy,indicating great potential in various monitoring scenarios.展开更多
We propose an approach for recognizing the pose and surface material of diverse objects,leveraging diffuse reflection principles and data fusion.Through theoretical analysis and the derivation of factors influencing d...We propose an approach for recognizing the pose and surface material of diverse objects,leveraging diffuse reflection principles and data fusion.Through theoretical analysis and the derivation of factors influencing diffuse reflection on objects,the method concentrates on and exploits surface information.To validate the feasibility of our theoretical research,the depth and active infrared intensity data obtained from a single time-of-flight camera are initially combined.Subsequently,these data undergo processing using feature extraction and lightweight machine-learning techniques.In addition,an optimization method is introduced to enhance the fitting of intensity.The experimental results not only visually showcase the effectiveness of our proposed method in accurately detecting the positions and surface materials of targets with varying sizes and spatial locations but also reveal that the vast majority of the sample data can achieve a recognition accuracy of 94.8%or higher.展开更多
Light detection and ranging(lidar)has attracted significant interest as a sensing technology for its ability to achieve highresolution imaging and wide-angle perception.However,conventional lidar systems,built with se...Light detection and ranging(lidar)has attracted significant interest as a sensing technology for its ability to achieve highresolution imaging and wide-angle perception.However,conventional lidar systems,built with separate components,are often bulky,expensive,complex,and prone to instability.In contrast,solid-state lidar,based on silicon photonics technology,offers a solution with its compact size,less expense,low energy consumption,and improved reliability.However,achieving precise beam steering remains a critical challenge for integrated lidar systems.Various methods have been demonstrated for beam steering,which is one of the simplest and most efficient approaches that utilize wavelength tuning with a grating coupler antenna.In this review,we introduce the fundamental principle of optical phased array for beam steering and provide an overview of the recent advancements in integrated solid-state lidars utilizing orthogonal polarizations and counterpropagation to enhance beam-steering range and angular resolution.展开更多
China's insistence on the non-interference principle has been increasingly inconsistent. While China's concern with sovereignty, regime security, and legitimacy, as well as its developing country identity, have push...China's insistence on the non-interference principle has been increasingly inconsistent. While China's concern with sovereignty, regime security, and legitimacy, as well as its developing country identity, have pushed it to continue its insistence on the principle of non-interference, China's further adaptation to the international system, increasing engagement in intemational institutions, and new identity as a responsible power have led China to drag its feet on the same principle. To reconcile these competing forces, China has to make concessions, namely, setting preconditions to legitimize intervention, designing a sovereignty-first solution, and/or complementing the non-interference principle with alternative principles. China's application of the non-interference principle has thus been made contingent. It is more inflexible at one end of a spectrum and more flexible at the other end, with China's foreign policies shifting back and forth between them.展开更多
基金supported by the National Key Research and Development Program of China (Grant No.2019YFB1803700)the Key Technologies Research and Development Program of Tianjin (Grant No.20YFZCGX00440).
文摘A designed visual geometry group(VGG)-based convolutional neural network(CNN)model with small computational cost and high accuracy is utilized to monitor pulse amplitude modulation-based intensity modulation and direct detection channel performance using eye diagram measurements.Experimental results show that the proposed technique can achieve a high accuracy in jointly monitoring modulation format,probabilistic shaping,roll-off factor,baud rate,optical signal-to-noise ratio,and chromatic dispersion.The designed VGG-based CNN model outperforms the other four traditional machine-learning methods in different scenarios.Furthermore,the multitask learning model combined with MobileNet CNN is designed to improve the flexibility of the network.Compared with the designed VGG-based CNN,the MobileNet-based MTL does not need to train all the classes,and it can simultaneously monitor single parameter or multiple parameters without sacrificing accuracy,indicating great potential in various monitoring scenarios.
基金supported by the Shaanxi Province Innovation Talent Promotion Program-Science and Technology Innovation Team(Grant No.2023-CX-TD-03).
文摘We propose an approach for recognizing the pose and surface material of diverse objects,leveraging diffuse reflection principles and data fusion.Through theoretical analysis and the derivation of factors influencing diffuse reflection on objects,the method concentrates on and exploits surface information.To validate the feasibility of our theoretical research,the depth and active infrared intensity data obtained from a single time-of-flight camera are initially combined.Subsequently,these data undergo processing using feature extraction and lightweight machine-learning techniques.In addition,an optimization method is introduced to enhance the fitting of intensity.The experimental results not only visually showcase the effectiveness of our proposed method in accurately detecting the positions and surface materials of targets with varying sizes and spatial locations but also reveal that the vast majority of the sample data can achieve a recognition accuracy of 94.8%or higher.
基金supported by the Shaanxi Province Innovation Talent Promotion Program Science and Technology Innovation Team(No.2023-CX-TD-03)the Natural Science Foundation of Shaanxi Province(No.2023-JC-YB-587)+1 种基金the National Key Research and Development Program of China(No.2019YFB1803700)the Key Technologies Research and Development Program of Tianjin(No.20YFZCGX00440).
文摘Light detection and ranging(lidar)has attracted significant interest as a sensing technology for its ability to achieve highresolution imaging and wide-angle perception.However,conventional lidar systems,built with separate components,are often bulky,expensive,complex,and prone to instability.In contrast,solid-state lidar,based on silicon photonics technology,offers a solution with its compact size,less expense,low energy consumption,and improved reliability.However,achieving precise beam steering remains a critical challenge for integrated lidar systems.Various methods have been demonstrated for beam steering,which is one of the simplest and most efficient approaches that utilize wavelength tuning with a grating coupler antenna.In this review,we introduce the fundamental principle of optical phased array for beam steering and provide an overview of the recent advancements in integrated solid-state lidars utilizing orthogonal polarizations and counterpropagation to enhance beam-steering range and angular resolution.
文摘China's insistence on the non-interference principle has been increasingly inconsistent. While China's concern with sovereignty, regime security, and legitimacy, as well as its developing country identity, have pushed it to continue its insistence on the principle of non-interference, China's further adaptation to the international system, increasing engagement in intemational institutions, and new identity as a responsible power have led China to drag its feet on the same principle. To reconcile these competing forces, China has to make concessions, namely, setting preconditions to legitimize intervention, designing a sovereignty-first solution, and/or complementing the non-interference principle with alternative principles. China's application of the non-interference principle has thus been made contingent. It is more inflexible at one end of a spectrum and more flexible at the other end, with China's foreign policies shifting back and forth between them.