JointCloud computing represents a new generation cloud computing paradigm, which deeply integrates the cloud resources of multiple Cloud Service Providers (CSPs) to offer tailored cloud services to users. In contrast to traditional multi-cloud ...

• Semi-trusted cloud providers will infringe user data ownership in JointCloud.
• Cloud providers’ diverse data management mechanisms lead to heterogeneity.
• Blockchain integration in JointCloud ensures secure data storage and ...

JointCloud is a novel collaborative cross-cloud architecture which is used to integrate and manager services of multiple clouds. Federated learning brings a promising intelligent scheme for JointCloud due to decentralization characteristic. ...

Fuzzy-rough sets (FRS) provide an outstanding theoretical tool for feature selection (FS). Whilst promising, the FRS model is sensitive to noisy information and ineffectively applicable to the data with large class density difference, with existing FRS-...

A recent surge in remote meetings has led to complaints of Zoom fatigue" and collaboration overload," negatively impacting worker productivity and well-being. One way to alleviate the burden of meetings is to de-emphasize their synchronous participation ...

Robotics as a Service (RaaS) emerges as a new paradigm to motivate diversified potential of the “remote-controlled economy” for flexible and efficient service provision with the help of cloud computing. The multi-robot cooperation (MRC) ...

The metaverse which is constructed by virtual reality (VR) can afford immersive experiences that are more vivid and attractive than those in the physical world. In this research, we focus on virtual nature experiences in the metaverse, and ...

• The metaverse can afford more vivid and attractive experiences than the physical world.
• Examined the impact of virtual nature in the metaverse on affect and attitudes towards physical nature in the real world.
• Virtual nature ...

Graph Convolutional Networks (GCNs) gain success for recommendation, but still face great challenges of data sparseness and negative sampling in implicit feedback-based recommendation. In particular, they ignore the unique graph ...

In the paper, the inverse source, coefficient and conductivity problems of nonlinear elliptic partial differential equations in 2D and 3D regular domains are resolved. For this purpose, two types single-parameter bases that automatically meet the ...

Controlling False Discovery Rate (FDR) while leveraging the side information of multiple hypothesis testing is an emerging research topic in modern data science. Existing methods rely on the test-level covariates while ignoring metrics about test-level ...

In this paper, we introduce a notion of shadowing property for a free semigroup action on a compact metric space, which is different of the notion of the shadowing property introduced by Bahabadi, called chain shadowing property. We study the ...${}_{}^{}\mathcal{}$${}_{}^{}\mathcal{}{\mathrm{}}^{}$${}_{}^{}\mathcal{}$

In this paper, the novel localized singular boundary method (LSBM) in conjunction with the Chebyshev collocation scheme (CCS) is developed to simulate large-scale inhomogeneous problems governed by elliptic operators. By means of the ...

Large populations worldwide have been deprived from nature experiences due to mass quarantines and lockdowns during the COVID-19 pandemic, and face a looming mental health crisis. Virtual reality offers a safe and practical solution to increase ...

Conventionally, the k nearest-neighbor (kNN) classification is implemented with the use of the Euclidean distance-based measures, which are mainly the one-to-one similarity relationships such as to lose the connections between different samples. ...

In this paper, a novel integrated multi-model optimization method is presented to improve the accuracy and practicality of the motor structure optimization for free-piston Stirling generator (FPSG). The imprecision of present studies is mainly due to the ...

In this paper, a novel voice coil motor (VCM) structure with two guidance permanent magnets (GPM) is proposed to cooperate with free-piston Stirling generator (FPSG). It is proved that the VCM has inherent advantages when coupling with the power piston of ...

Pulse-width modulation inverter drive system has been widely applied in metro vehicles for its great speed-control characteristics and operation performance. However, the bearing voltage generated by the consequent high frequency common mode voltage harms ...

Multi-Disease Predictive Analytics (MDPA) models simultaneously predict the risks of multiple diseases in patients and are valuable in early diagnoses. Patients tend to have multiple diseases simultaneously or develop multiple complications over time, and ...

In this paper, a novel adaptive integral sliding mode control (AISMC) scheme based on radial basis function network (RBFN) for bidirectional isolated dual active bridge (DAB) converter is proposed to enhance the robustness to system uncertainty and load ...

This paper presents a torque estimation scheme for induction motors based on gated recurrent unit (GRU) and a two-step training process. GRU uses recurrent neural network (RNN) structure to learn the relationship between the excitation and response ...

In order to extend the application of matrix topology, clamped three-level matrix converter, which combines traditional matrix converter and multilevel structure, is presented. This topology is an option for high power no-DC-link systems. However, its ...