Global Navigation Satellite System(GNSS)can provide all-weather,all-time,high-precision positioning,navigation and timing services,which plays an important role in national security,national economy,public life and ot...Global Navigation Satellite System(GNSS)can provide all-weather,all-time,high-precision positioning,navigation and timing services,which plays an important role in national security,national economy,public life and other aspects.However,in environments with limited satellite signals such as urban canyons,tunnels,and indoor spaces,it is difficult to provide accurate and reliable positioning services only by satellite navigation.Multi-source sensor integrated navigation can effectively overcome the limitations of single-sensor navigation through the fusion of different types of sensor data such as Inertial Measurement Unit(IMU),vision sensor,and LiDAR,and provide more accurate,stable and robust navigation information in complex environments.We summarizes the research status of multi-source sensor integrated navigation technology,and focuses on the representative innovations and applications of integrated navigation and positioning technology by major domestic scientific research institutions in China during 2019—2023.展开更多
Floor localization is crucial for various applications such as emergency response and rescue,indoor positioning,and recommender systems.The existing floor localization systems have many drawbacks,like low accuracy,poo...Floor localization is crucial for various applications such as emergency response and rescue,indoor positioning,and recommender systems.The existing floor localization systems have many drawbacks,like low accuracy,poor scalability,and high computational costs.In this paper,we first frame the problem of floor localization as one of learning node embeddings to predict the floor label of a subgraph.Then,we introduce FloorLocator,a deep learning-based method for floor localization that integrates efficient spiking neural networks with powerful graph neural networks.This approach offers high accuracy,easy scalability to new buildings,and computational efficiency.Experimental results on using several public datasets demonstrate that FloorLocator outperforms state-of-the-art methods.Notably,in building B0,FloorLocator achieved recognition accuracy of 95.9%,exceeding state-of-the-art methods by at least 10%.In building B1,it reached an accuracy of 82.1%,surpassing the latest methods by at least 4%.These results indicate FloorLocator’s superiority in multi-floor building environment localization.展开更多
Background:Brain structural alterations of the striatum have been frequently observed in internet gaming disorder(IGD);however,the replicability of the results and the associations with social-affective dysregulations...Background:Brain structural alterations of the striatum have been frequently observed in internet gaming disorder(IGD);however,the replicability of the results and the associations with social-affective dysregulations such as social anxiety remain to be determined.Methods:The present study combined a dimensional neuroimaging approach with both voxel-wise and data-driven multivariate approaches to(i)replicate our previous results on a negative association between IGD symptom load(assessed by the Internet Gaming Disorder Scale-Short Form)and striatal volume,(ii)extend these findings to female individuals,and(iii)employ multivariate and mediation models to determine common brain structural representations of IGD and social anxiety(assessed by the Liebowitz Social Anxiety Scale).Results:In line with the original study,the voxel-wise analyses revealed a negative association between IGD and volumes of the bilateral caudate.Going beyond the earlier study investigating only male participants,the present study demonstrates that the association in the right caudate was comparable in both the male and the female subsamples.Further examination using themultivariate approach revealed regionally different associations between IGD and social anxiety with striatal density representations in the dorsal striatum(caudate)and ventral striatum(nucleus accumbens).Higher levels of IGD were associated with higher social anxiety and the association was critically mediated by the multivariate neurostructural density variations of the striatum.Conclusions:Altered striatal volumes may represent a replicable and generalizable marker of IGD symptoms.However,exploratory multivariate analyses revealed more complex and regional specific associations between striatal density and IGD as well as social anxiety symptoms.Variations in both tendencies may share common structural brain representations,which mediate the association between increased IGD and social anxiety.展开更多
基金National Key R&D Program of China(No.2021YFB2501102)。
文摘Global Navigation Satellite System(GNSS)can provide all-weather,all-time,high-precision positioning,navigation and timing services,which plays an important role in national security,national economy,public life and other aspects.However,in environments with limited satellite signals such as urban canyons,tunnels,and indoor spaces,it is difficult to provide accurate and reliable positioning services only by satellite navigation.Multi-source sensor integrated navigation can effectively overcome the limitations of single-sensor navigation through the fusion of different types of sensor data such as Inertial Measurement Unit(IMU),vision sensor,and LiDAR,and provide more accurate,stable and robust navigation information in complex environments.We summarizes the research status of multi-source sensor integrated navigation technology,and focuses on the representative innovations and applications of integrated navigation and positioning technology by major domestic scientific research institutions in China during 2019—2023.
基金supported by the National Natural Science Foundation of China(No.42174050,62172066,62172064,62322601)National Science Foundation for Excellent Young Scholars(No.62322601)+5 种基金Open Research Projects of Zhejiang Lab(No.K2022NB0AB07)Venture&Innovation Support Program for Chongqing Overseas Returnees(No.cx2021047)Chongqing Startup Project for Doctorate Scholars(No.CSTB2022BSXM-JSX005)Excellent Youth Foundation of Chongqing(No.CSTB2023NSCQJQX0025)China Postdoctoral Science Foundation(No.2023M740402)Fundamental Research Funds for the Central Universities(No.2023CDJXY-038,2023CDJXY-039).
文摘Floor localization is crucial for various applications such as emergency response and rescue,indoor positioning,and recommender systems.The existing floor localization systems have many drawbacks,like low accuracy,poor scalability,and high computational costs.In this paper,we first frame the problem of floor localization as one of learning node embeddings to predict the floor label of a subgraph.Then,we introduce FloorLocator,a deep learning-based method for floor localization that integrates efficient spiking neural networks with powerful graph neural networks.This approach offers high accuracy,easy scalability to new buildings,and computational efficiency.Experimental results on using several public datasets demonstrate that FloorLocator outperforms state-of-the-art methods.Notably,in building B0,FloorLocator achieved recognition accuracy of 95.9%,exceeding state-of-the-art methods by at least 10%.In building B1,it reached an accuracy of 82.1%,surpassing the latest methods by at least 4%.These results indicate FloorLocator’s superiority in multi-floor building environment localization.
基金This work was supported by the National Natural Science Foundation of China(NSFC,no.8221101268,no.82271583,no.32250610208)the National Key Research and Development Program of China(grant no.2018YFA0701400).
文摘Background:Brain structural alterations of the striatum have been frequently observed in internet gaming disorder(IGD);however,the replicability of the results and the associations with social-affective dysregulations such as social anxiety remain to be determined.Methods:The present study combined a dimensional neuroimaging approach with both voxel-wise and data-driven multivariate approaches to(i)replicate our previous results on a negative association between IGD symptom load(assessed by the Internet Gaming Disorder Scale-Short Form)and striatal volume,(ii)extend these findings to female individuals,and(iii)employ multivariate and mediation models to determine common brain structural representations of IGD and social anxiety(assessed by the Liebowitz Social Anxiety Scale).Results:In line with the original study,the voxel-wise analyses revealed a negative association between IGD and volumes of the bilateral caudate.Going beyond the earlier study investigating only male participants,the present study demonstrates that the association in the right caudate was comparable in both the male and the female subsamples.Further examination using themultivariate approach revealed regionally different associations between IGD and social anxiety with striatal density representations in the dorsal striatum(caudate)and ventral striatum(nucleus accumbens).Higher levels of IGD were associated with higher social anxiety and the association was critically mediated by the multivariate neurostructural density variations of the striatum.Conclusions:Altered striatal volumes may represent a replicable and generalizable marker of IGD symptoms.However,exploratory multivariate analyses revealed more complex and regional specific associations between striatal density and IGD as well as social anxiety symptoms.Variations in both tendencies may share common structural brain representations,which mediate the association between increased IGD and social anxiety.