Grating coupler, one of the essential devices in silicon-based optical integrated chip, is still suffering with low coupling efficiency and small operation bandwidth. In this paper, we design and experimentally demons...
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Hamming space retrieval, allowing for retrieval within a fixed Hamming radius rather than scanning all instances linearly, has gained widespread attention for retrieving nearest neighbors at a fixed computational cost...
Hamming space retrieval, allowing for retrieval within a fixed Hamming radius rather than scanning all instances linearly, has gained widespread attention for retrieving nearest neighbors at a fixed computational cost. Current models have focused only on shared-label correlations as the label-wise semantics while ignoring the potential multi-hop constraints, which are the unique constraints in Hamming space retrieval under multi-label conditions. Instances with multi-dimensional labels form a multi-hop correlation graph rather than several clusters in a single-label scenario. So there are potential distance constraints between dissimilar instances connected through multi-hop correlations. Existing models blindly expanding the dissimilar instances will break the multi-hop correlations and finally disrupt the hashing consistency of the shared-label instances. This paper first defines the multi-hop correlations to address these challenges with the multi-hop preserving strategy for dissimilar instances to help the Hamming distance converge to the expected range. Meanwhile, we introduce a Wasserstein-1-distance-based loss to reduce information loss while encoding compactly. We evaluate our proposed model on three commonly used datasets with extensive experiments to demonstrate that our model achieves significant improvements over existing methods.
Microring-based optical switches are promising for wavelength-selective switching with the merits of compact size and low power ***,the large insertion loss,the high fabrication,and the temperature sensitivity hinder ...
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Microring-based optical switches are promising for wavelength-selective switching with the merits of compact size and low power ***,the large insertion loss,the high fabrication,and the temperature sensitivity hinder the scalability of silicon microring optical switch *** this paper,we utilize a three-dimensional(3D)microring-based optical switch element(SE)on a multi-layer Si_(3)N_(4)-on-SOI platform to realize highperformance large-scale optical switch *** 3D microring-based SE consists of a Si∕Si_(3)N_(4) waveguide overpass crossing in the bottom and the top layers,and Si_(3)N_(4) dual-coupled microring resonators(MRRs)in the middle *** switch is calibration-free and has low insertion *** the 3D microring-based SEs,we implement an 8×8 crossbar optical switch *** the resonance wavelengths of all SEs are well aligned,only one SE needs to be turned on in each routing path,which greatly reduces the complexity of the switch *** optical transmission spectra show a box-like shape,with a passband width of~69 GHz and an average on-state loss of~0.37 *** chip has a record-low on-chip insertion loss of 0.52-2.66 *** also implement a non-duplicate polarization-diversity optical switch by using the bidirectional transmission characteristics of the crossbar architecture,which is highly favorable for practical applications.100 Gb/s dual-polarization quadrature-phase-shift-keying(DP-QPSK)signal is transmitted through the switch without significant *** the best of our knowledge,this is the first time that 3D MRRs have been used to build highly scalable polarization-diversity optical switch fabrics.
Recently, the jailbreak attack, which generates adversarial prompts to bypass safety measures and mislead large language models (LLMs) to output harmful answers, has attracted extensive interest due to its potential t...
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Joint analysis of multiple phenotypes can have better interpretation of complex diseases and increase statistical power to detect more significant single nucleotide polymorphisms(SNPs)compare to traditional single phe...
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Joint analysis of multiple phenotypes can have better interpretation of complex diseases and increase statistical power to detect more significant single nucleotide polymorphisms(SNPs)compare to traditional single phenotype analysis in genome-wide association *** component analysis(PCA),as a popular dimension reduction method,has been broadly used in the analysis of multiple *** PCA transforms the original phenotypes into principal components(PCs),it is natural to think that by analyzing these PCs,we can combine information across *** PCA-based methods can be divided into two categories,either selecting one particular PC manually or combining information from all *** this paper,we propose an adaptive principle component test(APCT)which selects and combines the PCs adaptively by using Cauchy combination *** proposed method can be seen as a generalization of traditional PCA based method since it contains two existing methods as special *** simulation shows that our method is robust and can generate powerful result in various *** real data analysis of stock mice data also demonstrate that our proposed APCT can identify significant SNPs that are missed by traditional methods.
Ultralight vectors can extract energy and angular momentum from a Kerr black hole (BH) due to superradiant instability, resulting in the formation of a BH-condensate system. In this work, we carefully investigate the ...
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Ultralight vectors can extract energy and angular momentum from a Kerr black hole (BH) due to superradiant instability, resulting in the formation of a BH-condensate system. In this work, we carefully investigate the evolution of this system numerically with multiple superradiant modes. Simple formulas are obtained to estimate important timescales, maximum masses of different modes, as well as the BH mass and spin at various times. Due to the coexistence of modes with small frequency differences, the BH-condensate system emits gravitational waves with a unique beat signature, which could be directly observed by current and projected interferometers. Besides, the current BH spin-mass data from the binary BH merger events already exclude the vector mass in the range 5×10−15 eV<μ<9×10−12 eV.
In this paper, a distributed disturbance observer is revisited, and here attention is paid to the completely distributed design. To monitor a linear dynamical system, assume N observations are collected by a group of ...
In this paper, a distributed disturbance observer is revisited, and here attention is paid to the completely distributed design. To monitor a linear dynamical system, assume N observations are collected by a group of sensor nodes severally. N observers(collectively referred to as the distributed disturbance observer) are constructed to cooperatively estimate the states as well as the disturbance signals. However, the coupling gains of the N observers need an overall integration design. Given that some global information is not readily available, an adaptive strategy is applied to avoid using it, and therefore completely distributed.
Condition-based video generation aims to create video content based on given information that describes specific subjects. However, most existing works can only utilize a single condition to guide the denoising proces...
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This brief presents a novel method based on canonical correlation analysis(CCA) and particle filter(PF) for battery state of charge(SOC) *** specifically,CCA is adopted to provide a universal way for battery SOC...
This brief presents a novel method based on canonical correlation analysis(CCA) and particle filter(PF) for battery state of charge(SOC) *** specifically,CCA is adopted to provide a universal way for battery SOC estimation with PF for error ***,the input data are first mapped to polynomial terms before training to find the intrinsic ***,l-norm regularization is further added to the loss function in order to prevent ***,the SOC estimation result from CCA training is combined with the Coulomb counting model and updated by PF for error *** results using battery testing data at different testing profiles and temperatures show the high accuracy of estimation and robustness to wrong initial *** particular,compared with linear regression,support vector regression,and neural network,the error of the proposed method is reduced to 1.47%.
As a rigid body,the nonholonomic mobile robot contains both states of position and *** order to plan these states simultaneously,this paper investigates the fullstate planning problem of nonholonomic mobile robots,in ...
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As a rigid body,the nonholonomic mobile robot contains both states of position and *** order to plan these states simultaneously,this paper investigates the fullstate planning problem of nonholonomic mobile robots,in the sense that the robots should reach the specified positions and meanwhile point to the desired orientations at the terminal *** this end,we propose a velocity vector field which guides the mobile robots to the goal ***,the dynamics of the robot orientation is brought into the vector field,so that the attitude angle of the robot can converge to the specified value following the orientation ***,we study the obstacle avoidance and mutual-robot-collision avoidance by proposing another velocity vector field,which guides the robots moving along the tangential direction of the dangerous ***,several numerical simulation examples are provided to support the theoretical results.
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