Implementing price-based energy management programs to change the consumption pattern of residential consumers has become an indispensable solution to the operational challenges of smart distribution power systems. Ho...
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Residential prosumers enable the peer-to-peer energy transfer to prompt the management of local energy resources for the benefit of their neighbourhood. This encourages the researchers to develop energy management pro...
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The core of quantitative investment lies in predicting future trends in stock prices. The future trend of a stock is closely related to the industry it belongs to and its relationship with other stocks. Although some ...
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The establishment of an elastostatic stiffness model for over constrained parallel manipulators(PMs),particularly those with over constrained subclosed loops,poses a challenge while ensuring numerical *** study addres...
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The establishment of an elastostatic stiffness model for over constrained parallel manipulators(PMs),particularly those with over constrained subclosed loops,poses a challenge while ensuring numerical *** study addresses this issue by proposing a systematic elastostatic stiffness model based on matrix structural analysis(MSA)and independent displacement coordinates(IDCs)extraction *** begin,the closed-loop PM is transformed into an open-loop PM by eliminating constraints.A subassembly element is then introduced,which considers the flexibility of both rods and *** approach helps circumvent the numerical instability typically encountered with traditional constraint *** IDCs and analytical constraint equations of nodes constrained by various joints are summarized in the appendix,utilizing multipoint constraint theory and singularity analysis,all unified within a single coordinate ***,the open-loop mechanism is efficiently closed by referencing the constraint equations presented in the appendix,alongside its elastostatic *** proposed method proves to be both modeling and computationally efficient due to the comprehensive summary of the constraint equations in the Appendix,eliminating the need for additional *** example utilizing an over constrained subclosed loops demonstrate the application of the proposed *** conclusion,the model proposed in this study enriches the theory of elastostatic stiffness modeling of PMs and provides an effective solution for stiffness modeling challenges they present.
Recently, many steganalysis approaches improve their feature extraction ability through addingconvolutional layers. However, it often leads to a decrease of resolution in the feature map during downsampling,which make...
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Recently, many steganalysis approaches improve their feature extraction ability through addingconvolutional layers. However, it often leads to a decrease of resolution in the feature map during downsampling,which makes it challenging to extract weak steganographic signals accurately. To address this issue, this paperproposes a multi-resolution steganalysis net (MRS-Net). MRS-Net adopts a multi-resolution network to extract globalimage information, fusing the output feature map to ensure high-dimensional semantic information andsupplementing low-level detail information. Furthermore, the model incorporates an attention module which cananalyze image sensitivity based on different channel and spatial information, thus effectively focusing on areas withrich steganographic signals. Multiple benchmark experiments on the BOSSBase 1.01 dataset demonstrate that theaccuracy of MRS-Net significantly improves by 9.9% and 3.3% compared with YeNet and SRNet, respectively,demonstrating its exceptional steganalysis capability.
This study presents a general optimal trajectory planning(GOTP)framework for autonomous vehicles(AVs)that can effectively avoid obstacles and guide AVs to complete driving tasks safely and ***,we employ the fifth-orde...
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This study presents a general optimal trajectory planning(GOTP)framework for autonomous vehicles(AVs)that can effectively avoid obstacles and guide AVs to complete driving tasks safely and ***,we employ the fifth-order Bezier curve to generate and smooth the reference path along the road *** coordinates are then transformed to achieve the curvature continuity of the generated *** the road constraints and vehicle dynamics,limited polynomial candidate trajectories are generated and smoothed in a curvilinear coordinate ***,in selecting the optimal trajectory,we develop a unified and auto-tune objective function based on the principle of least action by employing AVs to simulate drivers’behavior and summarizing their manipulation characteristics of“seeking benefits and avoiding losses.”Finally,by integrating the idea of receding-horizon optimization,the proposed framework is achieved by considering dynamic multi-performance objectives and selecting trajectories that satisfy feasibility,optimality,and *** simulations and experiments are performed,and the results demonstrate the framework’s feasibility and effectiveness,which avoids both dynamic and static obstacles and applies to various scenarios with multi-source interactive traffic ***,we prove that the proposed method can guarantee real-time planning and safety requirements compared to drivers’manipulation.
In this paper, a novel intensifying-flux hybrid excitation machine (IF-HEPMSM) is proposed in conjunction with the latest development requirements of electric vehicles. Therefore, the proposed IF-HEPMSM design can sim...
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Machine learning is widely used in medical image classification tasks. However, medical images often exhibit uneven distribution and high sensitivity to noise. A feasible solution involves using federated learning (FL...
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This short paper presents an AUV-aided isolated sub-networks (ISNs) prevention protocol for underwater wireless sensor networks (UWSNs). In a multi-hop UWSN, the death of a special node, namely the cut-vertex (CV), di...
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With the explosive growth of smart devices and internet applications, user demand for data transmission rates and service quality is growing rapidly. Heterogeneous networks, capable of providing higher data rates and ...
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