The important issues of network TCP congestion control are how to compute the link price according to the link status and regulate the data sending rate based on link congestion pricing feedback information.However,it...The important issues of network TCP congestion control are how to compute the link price according to the link status and regulate the data sending rate based on link congestion pricing feedback information.However,it is difficult to predict the congestion state of the link-end accurately at the source.In this paper,we presented an improved NUMFabric algorithm for calculating the overall congestion price.In the proposed scheme,the whole network structure had been obtained by the central control server in the Software Defined Network,and a kind of dual-hierarchy algorithm for calculating overall network congestion price had been demonstrated.In this scheme,the first hierarchy algorithm was set up in a central control server like Opendaylight and the guiding parameter B is obtained based on the intelligent data of global link state information.Based on the historical data,the congestion state of the network and the guiding parameter B is accurately predicted by the machine learning algorithm.The second hierarchy algorithm was installed in the Openflow link and the link price was calculated based on guiding parameter B given by the first algorithm.We evaluate this evolved NUMFabric algorithm in NS3,which demonstrated that the proposed NUMFabric algorithm could efficiently increase the link bandwidth utilization of cloud computing IoT datacenters.展开更多
In fringe projection profilometry 3D measurement systems,the measurement of surfaces with high variability in reflectivity poses a challenge due to the limited dynamic range of cameras.The main solution involves using...In fringe projection profilometry 3D measurement systems,the measurement of surfaces with high variability in reflectivity poses a challenge due to the limited dynamic range of cameras.The main solution involves using multiple exposures to modulate fringe intensity;however,it is inefficient.In this study,we introduce an attention-guided end-to-end phase calculation network to accelerate the multi-exposure structured light process for high dynamic range(HDR)measurements.We use attention modules to guide feature selection,enhancing relevant features and suppressing irrelevant features.Using the 12-step phase-shifting profilometry(PSP)as ground truth,our method accurately extracts the sine and cosine components of the fundamental frequency from a single pattern to retrieve the absolute phases.Tested on our metallic dataset requiring HDR imaging,our method achieves an absolute phase error of 0.084,close to that of the six-step PSP method(0.069),while using only 16.7%of the time.On the ceramic dataset,our method achieves 0.021 phase error,close to that of the four-step PSP(0.012).In quantitative measurements,our method achieves an accuracy of approximately 40μm on standard spheres and plates.Overall,our method preserves the accuracy of multi-exposure PSP methods while significantly accelerating the 3D reconstruction process.展开更多
基金supported by National Key R&D Program of China—Industrial Internet Application Demonstration-Sub-topic Intelligent Network Operation and Security Protection(2018YFB1802400).
文摘The important issues of network TCP congestion control are how to compute the link price according to the link status and regulate the data sending rate based on link congestion pricing feedback information.However,it is difficult to predict the congestion state of the link-end accurately at the source.In this paper,we presented an improved NUMFabric algorithm for calculating the overall congestion price.In the proposed scheme,the whole network structure had been obtained by the central control server in the Software Defined Network,and a kind of dual-hierarchy algorithm for calculating overall network congestion price had been demonstrated.In this scheme,the first hierarchy algorithm was set up in a central control server like Opendaylight and the guiding parameter B is obtained based on the intelligent data of global link state information.Based on the historical data,the congestion state of the network and the guiding parameter B is accurately predicted by the machine learning algorithm.The second hierarchy algorithm was installed in the Openflow link and the link price was calculated based on guiding parameter B given by the first algorithm.We evaluate this evolved NUMFabric algorithm in NS3,which demonstrated that the proposed NUMFabric algorithm could efficiently increase the link bandwidth utilization of cloud computing IoT datacenters.
基金funded by Shenzhen Science and Technology Program(Grant JCYJ20240813112003005)by The Major Key Project of Pengcheng Laboratory(PCL2023A09).
文摘In fringe projection profilometry 3D measurement systems,the measurement of surfaces with high variability in reflectivity poses a challenge due to the limited dynamic range of cameras.The main solution involves using multiple exposures to modulate fringe intensity;however,it is inefficient.In this study,we introduce an attention-guided end-to-end phase calculation network to accelerate the multi-exposure structured light process for high dynamic range(HDR)measurements.We use attention modules to guide feature selection,enhancing relevant features and suppressing irrelevant features.Using the 12-step phase-shifting profilometry(PSP)as ground truth,our method accurately extracts the sine and cosine components of the fundamental frequency from a single pattern to retrieve the absolute phases.Tested on our metallic dataset requiring HDR imaging,our method achieves an absolute phase error of 0.084,close to that of the six-step PSP method(0.069),while using only 16.7%of the time.On the ceramic dataset,our method achieves 0.021 phase error,close to that of the four-step PSP(0.012).In quantitative measurements,our method achieves an accuracy of approximately 40μm on standard spheres and plates.Overall,our method preserves the accuracy of multi-exposure PSP methods while significantly accelerating the 3D reconstruction process.
