We derive and validate a generalization of the two-point visual control model, an accepted cognitive science model for human steering behavior. The generalized model is needed as current steering models are either ins...
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In this article, we study the application of reduced order models (ROMs) for permittivity inversion to address the high nonlinearity and cycle-skipping effects in inverse scattering problems (ISPs). In this approach, ...
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This paper investigates the resource allocation for rate-splitting multiple access(RSMA)enabled multibeam satellite communication ***,we minimize the total unmet user rate,which denotes the difference between the user...
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This paper investigates the resource allocation for rate-splitting multiple access(RSMA)enabled multibeam satellite communication ***,we minimize the total unmet user rate,which denotes the difference between the users’rate requirement and the practical achievable rate,as well as the total transmit power of the satellite by optimizing the precoding,power allocation,and rate allocation,under the per-feed power and rate *** solve the non-convex optimization problem,a twostage scheme is *** particular,in the first stage,we present a precoding scheme by maximizing the signal-to-leakage-plus-noise ratio of each beam to eliminate the inter-beam *** the second stage,we introduce auxiliary variables to obtain an upper bound on the objective function under the given precoding matrix and transform the rate constraints of the original problem into second-order cones(SOC)and linear matrix inequations(LMI).Then,the successive convex approximation(SCA)technique is used to obtain suboptimal power and rate allocation ***,the initial feasible solution for power allocation is provided by using the standard interior point ***,numerical results verify the superiority of our proposed solution compared to the benchmark methods in terms of objective function values.
Dynamic wireless power transfer (DWPT) systems provide a promising solution to overcome the limitations of electric vehicles (EVs) regarding battery size, range constraints, and lengthy charging times. This study focu...
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The heuristics in mixed- integer linear programming (MILP) solvers are mostly general-purpose, which can only recognize some common structures. It sometimes may be challenging for them to obtain a high-quality feasibl...
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Purpose: Permanent prostate seed implant brachytherapy is widely adopted as a successful treatment method for prostate cancer. While radiographic planar fluoroscopy images are a well-established method to determine th...
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In this article, a lens is applied to reduce the horn antenna’s Side Lobe Level (SLL) based on controlling the phase and amplitude distribution of the electromagnetic fields over the aperture of the horn antenna in t...
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Power systems are moving toward a low-carbon or carbon-neutral future where high penetration of renewables is *** conventional fossil-fueled synchronous generators in the transmission network being replaced by renewab...
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Power systems are moving toward a low-carbon or carbon-neutral future where high penetration of renewables is *** conventional fossil-fueled synchronous generators in the transmission network being replaced by renewable energy generation which is highly distributed across the entire grid,new challenges are emerging to the control and stability of large-scale power *** analysis and control methods are needed for power systems to cope with the ongoing *** the CSEE JPES forum,six leading experts were invited to deliver keynote speeches,and the participating researchers and professionals had extensive exchanges and discussions on the control and stability of power ***,potential changes and challenges of power systems with high penetration of renewable energy generation were introduced and explained,and advanced control methods were proposed and analyzed for the transient stability enhancement of power grids.
Polymer nanocomposites have been a topic of intensive research regarding High Voltage engineering since the nineties of the last century. They present an alternative to conventional polymers since the latter were diag...
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Rotor angle stability(RAS)prediction is critically essential for maintaining normal operation of the interconnected synchronous machines in power *** wide deployment of phasor measurement units(PMUs)promotes the devel...
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Rotor angle stability(RAS)prediction is critically essential for maintaining normal operation of the interconnected synchronous machines in power *** wide deployment of phasor measurement units(PMUs)promotes the development of data-driven methods for RAS *** paper proposes a temporal and topological embedding deep neural network(TTEDNN)model to accurately and efficiently predict RAS by extracting the temporal and topological features from the PMU *** grid-informed adjacency matrix incorporates the structural and electrical parameter information of the power *** the small-signal RAS with disturbance under initial operating conditions and the transient RAS with short circuits on transmission lines are *** studies of the IEEE 39-bus and IEEE 300-bus power systems are used to test the performance,scalability,and robustness against measurement uncertainties of the TTEDNN *** show that the TTEDNN model performs best among existing deep learning ***,the superior transfer learning ability from small-signal RAS conditions to transient RAS conditions has been proved.
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