The single-stage dual-dc-port inverter directly connects the photovoltaic-battery hybrid system to the ac side, which offers the advantages of high efficiency and low cost due to the removal of dc-dc converter. The ex...
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Visual tracking is a crucial skill for bionic robots to perceive the environment and control their ***,visual tracking is challenging when the target undergoes nonrigid deformation because of the perspective change fr...
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Visual tracking is a crucial skill for bionic robots to perceive the environment and control their ***,visual tracking is challenging when the target undergoes nonrigid deformation because of the perspective change from the camera mounted on the *** this paper,a real-time and scale-adaptive visual tracking method based on best buddies similarity(BBS)is presented,which is a state-of-the-art template matching method that can handle nonrigid *** proposed method improves the original BBS in 4 aspects:(a)The caching scheme is optimized to reduce the computational overhead,(b)the effect of cluttered backgrounds on BBS is theoretically analyzed and a patch-based texture is introduced to enhance the robustness and accuracy,(c)the batch gradient descent algorithm is used to further speed up the method,and(d)a resample strategy is applied to enable the BBS to track the target in scale *** proposed method on challenging real-world datasets is evaluated and its promising performance is demonstrated.
The tradeoff between accuracy and efficiency in gravitational field modeling for binary asteroid landing is one of the challenges in dynamical *** representative gravitational modeling methods are employed and compare...
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The tradeoff between accuracy and efficiency in gravitational field modeling for binary asteroid landing is one of the challenges in dynamical *** representative gravitational modeling methods are employed and compared in this *** are the sphere-sphere model,ellipsoid-sphere model,inertia integral-polyhedron method,and finite element *** study considers the differences between these four models,particularly their effects on the landing dynamics of a lander.A framework to simulate the coupled orbit-attitude motion of a lander in a binary system is first *** simulations are then performed on the natural landings on the second primary of the(66391)Moshup-Squannit *** results show significant differences in the final landing dispersions,settling time,and sliding distance when applying the simplified *** the basis of the modeling accuracy and computational efficiency,the finite element method should be chosen for future missions.
The quality of round billet is affected by the flow characteristics of molten steel during continuous casting. The application of nozzle swirling flow combined with electromagnetic stirrer (M-EMS) can increase the num...
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In order to solve the problems of high retrieval error rate and long retrieval time existing in traditional online social network image retrieval methods, this paper proposes an online social network image retrieval m...
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This article investigates the problem of practical predefined-time formation tracking for multiple unmanned surface vehicles facing the case of lumped uncertainties (namely, model uncertainties, external disturbances,...
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Aiming at the limitations of the existing railway foreign object detection methods based on two-dimensional(2D)images,such as short detection distance,strong influence of environment and lack of distance information,w...
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Aiming at the limitations of the existing railway foreign object detection methods based on two-dimensional(2D)images,such as short detection distance,strong influence of environment and lack of distance information,we propose Rail-PillarNet,a three-dimensional(3D)LIDAR(Light Detection and Ranging)railway foreign object detection method based on the improvement of ***,the parallel attention pillar encoder(PAPE)is designed to fully extract the features of the pillars and alleviate the problem of local fine-grained information loss in PointPillars pillars ***,a fine backbone network is designed to improve the feature extraction capability of the network by combining the coding characteristics of LIDAR point cloud feature and residual ***,the initial weight parameters of the model were optimised by the transfer learning training method to further improve *** experimental results on the OSDaR23 dataset show that the average accuracy of Rail-PillarNet reaches 58.51%,which is higher than most mainstream models,and the number of parameters is 5.49 *** with PointPillars,the accuracy of each target is improved by 10.94%,3.53%,16.96%and 19.90%,respectively,and the number of parameters only increases by 0.64M,which achieves a balance between the number of parameters and accuracy.
Recent several years have witnessed rapid development of the fully actuated system(FAS) approach proposed by Duan in 2020–2021, which considerably facilitates the controller design in comparison with the traditional ...
Recent several years have witnessed rapid development of the fully actuated system(FAS) approach proposed by Duan in 2020–2021, which considerably facilitates the controller design in comparison with the traditional state-space approach. In this paper, based on high-order system models, the concept of fully observed systems(FOSs) is first proposed as a complementary and dual one of FASs. Then, aiming at a representative class of nonlinear FOSs with multiple heterogenous disturbances, a composite disturbance filtering(CDF) scheme with disturbance compensation and attenuation capabilities is presented. Furthermore, an integrative design of CDF and full actuation control is proposed, which builds bridges among the FAS approach, the composite hierarchical anti-disturbance control, and the CDF. It is proven that the integrative design achieves not only high-precision estimation but also high-precision control and all signals of the resulting closed-loop system are globally uniformly bounded. The effectiveness of the theoretical results is illustrated by numeric simulation and hardware-in-the-loop experiments.
To investigate how the multiphase structures affect the electrical conductivity in semicrystalline polymer composites,herein,an accurate multiphase content calculation method is proposed and verified,which combines am...
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To investigate how the multiphase structures affect the electrical conductivity in semicrystalline polymer composites,herein,an accurate multiphase content calculation method is proposed and verified,which combines amorphous phase information in broadband dielectric spectroscopy and crystalline phase information in differential scanning *** aluminium hydroxide(ATH)filled silicone rubber as an example,it is found that the rigid amorphous fraction(RAF)corresponding to the chains constrained by crystals(RAF_(cry))is not linearly increased with crystalline fraction(CF).Compared to non-isothermal crystallisation,RAF caused by ATH/silicone rubber interface(RAF_(int))after isothermal crystallisation at 213 K changes little,while mobile amorphous fraction and RAFcry is attenuated and CF is *** on the calculated structures of ATH filled silicone rubber,activation energy of conductivities during cooling is dominated by the thermal transition for conductive ions and shortened distance among the conductive ions through shrunk volumes of the amorphous *** findings deepen the understanding of multiphase content in semi-crystalline polymer composites and its relationship with electrical conductivity,which can be applied in manipulating electrical performance of semi-crystalline polymers by fillers.
Due to the fine-grained communication scenarios characterization and stability,Wi-Fi channel state information(CSI)has been increasingly applied to indoor sensing tasks *** spatial variations are explicitlyreflected i...
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Due to the fine-grained communication scenarios characterization and stability,Wi-Fi channel state information(CSI)has been increasingly applied to indoor sensing tasks *** spatial variations are explicitlyreflected in CSI measurements,the representation differences caused by small contextual changes are easilysubmerged in the fluctuations of multipath effects,especially in device-free Wi-Fi *** existing datasolutions cannot fully exploit the temporal,spatial,and frequency information carried by CSI,which results ininsufficient sensing resolution for indoor scenario *** a result,the well-liked machine learning(ML)-based CSI sensing models still struggling with stable *** paper formulates a time-frequency matrixon the premise of demonstrating that the CSI has low-rank potential and then proposes a distributed factorizationalgorithm to effectively separate the stable structured information and context fluctuations in the CSI ***,a multidimensional tensor is generated by combining the time-frequency gradients of CSI,which containsrich and fine-grained real-time contextual *** evaluations and case studies highlight thesuperiority of the proposal.
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