Object detection technology serves as a crucial tool in remote sensing imagery analysis. However, the significant variations in object scales and complex backgrounds in remote sensing images pose substantial challenge...
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Soliton molecules(SMs)play a crucial role in nonlinear optical systems,enriching our understanding of nonlinear science through the study of their interaction *** passively mode-locked fiber lasers offer an efficient ...
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Soliton molecules(SMs)play a crucial role in nonlinear optical systems,enriching our understanding of nonlinear science through the study of their interaction *** passively mode-locked fiber lasers offer an efficient platform for generating diverse types of SMs,the complex internal dynamics of the laser often pose challenges in achieving predetermined temporal separations between ***,we implement a delayed optical feedback technique within a femtosecond optical parametric oscillator,enabling the generation of SMs with precise and controllable temporal separations.A theoretical model,which models the intracavity iterations of the signal with a simplified Ikeda map,is proposed to study the impact of parametric gain,intracavity feedback delay,and cavity length on the internal separations of the *** experimental results confirm that adjusting the cavity length allows for producing desired temporal separations within *** reveal the evolution dynamics of the SMs,we further develop a rigorous numerical model using the carrier-resolved Forward Maxwell Equation,which is capable of modeling ultra-broadband complex dynamics based on a single equation without relying on the slowly-varying envelope *** numerical model unveils the rich formation dynamics of the SMs at various separations,which confirms the critical role of the gain window provided by the *** work opens up new opportunities for the on-demand generation of SMs and provides valuable insights into the complex dynamics in femtosecond optical parametric oscillator systems with optical delayed feedback.
This paper develops a segmented real-time dispatch model for power-gas integrated systems(PGISs), where power-to-gas(P2G) devices and traditional automatic generation control units are cooperated to manage wind power ...
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This paper develops a segmented real-time dispatch model for power-gas integrated systems(PGISs), where power-to-gas(P2G) devices and traditional automatic generation control units are cooperated to manage wind power uncertainty. To improve the economics of the real-time dispatch in regard to the current high operation cost of P2Gs, the wind power uncertainty set is divided into several segments, and a segmented linear decision rule is developed, which assigns adjustment tasks differently when wind power uncertainty falls into different segments. Thus, the P2G operation with high costs can be reduced in real-time adjustment. Besides, a novel segmented stochastic robust optimization is proposed to improve the efficiency and robustness of PGIS dispatch under wind power uncertainty, which minimizes the expected cost under the empirical wind power distribution and builds up the security constraints based on the robust optimization. The expected cost is formulated using a Nataf conversion-based multi-point estimate method, and the optimal number of estimate points is determined through sensitivity analysis. Furthermore, a difference-ofconvex optimization with a partial relaxation rule is developed to solve the non-convex dispatch problem in a sequential optimization framework. Numerical simulations in two testing cases validate the effectiveness of the proposed model and solving method.
The atomic interferometer, serving as a precise measurement tool for multiple physical quantities, holds the potential to establish a fully quantum autonomous "position, navigation, and timing (PNT)"unit. Th...
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The problem of high-precision indoor positioning in the 5G era has attracted more and more attention.A fingerprint location method based on matrix completion(MC-FPL)is proposed for 5G ultradense networks to overcome t...
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The problem of high-precision indoor positioning in the 5G era has attracted more and more attention.A fingerprint location method based on matrix completion(MC-FPL)is proposed for 5G ultradense networks to overcome the high costs of traditional fingerprint database construction and matching ***,a partial fingerprint database constructed and the accelerated proximal gradient algorithm is used to fill the partial fingerprint database to construct a full fingerprint ***,a fingerprint database division method based on the strongest received signal strength indicator is proposed,which divides the original fingerprint database into several sub-fingerprint ***,a classification weighted K-nearest neighbor fingerprint matching algorithm is *** estimated coordinates of the point to be located can be obtained by fingerprint matching in a sub-fingerprint *** simulation results show that the MC-FPL algorithm can reduce the complexity of database construction and fingerprint matching and has higher positioning accuracy compared with the traditional fingerprint algorithm.
Considering the susceptibility of planetary transmission to strong noise interference, a fault diagnosis method is proposed based on Morlet wavelet transform and 1D Convolutional Neural Network (1DCNN). Firstly, the a...
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Due to thermal carriers generated by a narrow mid-infrared energy gap,cooling is always necessary to achieve ideal *** quantum dot(QD),the electron thermal generation should be reduced with quantum confinement in all ...
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Due to thermal carriers generated by a narrow mid-infrared energy gap,cooling is always necessary to achieve ideal *** quantum dot(QD),the electron thermal generation should be reduced with quantum confinement in all three *** a result,there would be a great potential to realize high-operating-temperature(HOT)QD mid-IR photodetectors,though not yet *** the advantages of colloidal nanocrystals’solution processability and precise doping control by surface dipoles,this work demonstrates a HOT mid-infrared photodetector with a QD gradient *** detector achieves background-limited performance with D^(*)=2.7×1011 Jones on 4.2μm at 80 K,above 10^(11) Jones until 200 K,above 10^(10 )Jones until 280 K,and 7.6×10^(9) Jones on 3.5μm at 300 *** external quantum efficiency also achieves more than 77%with responsivity 2.7 A/W at zero *** applications such as spectrometers,chemical sensors,and thermal cameras,are also approved,which motivate interest in low-cost,solution-processed and high-performance mid-infrared photodetection beyond epitaxial growth bulk photodetectors.
Aspheric surfaces are widely used in advanced optical *** the aspheric surface parameters(ASPs)with high accuracy is vital for manufacturing and aligning optical aspheric *** paper provides a review of various techniq...
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Aspheric surfaces are widely used in advanced optical *** the aspheric surface parameters(ASPs)with high accuracy is vital for manufacturing and aligning optical aspheric *** paper provides a review of various techniques for measuring ASPs and discusses the advantages/disadvantages of these *** aim of this review is to contribute to advancements in the fabrication and testing of aspheric optical elements and their practical applications in diverse fields.
With the increasing demand for high-quality 3D holographic reconstruction, visual clarity and accuracy remain significant challenges in various imaging applications. Current methods struggle for higher image resolutio...
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Space-Air-Ground integrated Vehicular Network(SAGVN)aims to achieve ubiquitous connectivity and provide abundant computational resources to enhance the performance and efficiency of the vehicular ***,there are still c...
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Space-Air-Ground integrated Vehicular Network(SAGVN)aims to achieve ubiquitous connectivity and provide abundant computational resources to enhance the performance and efficiency of the vehicular ***,there are still challenges to overcome,including the scheduling of multilayered computational resources and the scarcity of spectrum *** address these problems,we propose a joint Task Offloading(TO)and Resource Allocation(RA)strategy in SAGVN(namely JTRSS).This strategy establishes an SAGVN model that incorporates air and space networks to expand the options for vehicular TO,and enhances the edge-computing resources of the system by deploying edge *** minimize the system average cost,we use the JTRSS algorithm to decompose the original problem into a number of subproblems.A maximum rate matching algorithm is used to address the channel allocation and the Lagrangian multiplier method is employed for computational *** acquire the optimal TO decision,a differential fusion cuckoo search algorithm is *** simulation results demonstrate the significant superiority of the JTRSS algorithm in optimizing the system average cost.
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