Few-shot segmentation (FSS) aims to segment a query image with a few support images. However, there can be large differences between images from the same category, and similarities between different categories, making...
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Few-shot segmentation (FSS) aims to segment a query image with a few support images. However, there can be large differences between images from the same category, and similarities between different categories, making it a challenging task. In addition, most FSS methods use powerful encoders to extract features from the training class, which makes the model pay more attention to the features of the 'seen' class, and perform poorly on the segmentation task of 'unseen' classes. In this work, we propose a novel end-to-end model, called GFormer. GFormer has four components: encoder, prototype extractor, adversarial prototype generator, and decoder. Our encoder makes simple modifications to VIT to reduce the focus on image content, using a prototype extractor to extract prototype features from a range of support images. We further introduce different classes that are similar to the support image categories as negative examples, taking the support image categories as positive examples. We use the adversarial prototype generator to extract the adversarial prototypes from the positive and negative examples. The decoder segments the query images under the guidance of the prototypes. We conduct extensive experiments on a variety of unknown classes. The results verify the feasibility of the proposed model and prove that the proposed model has strong generalization performance for new classes.
Mainlobe jamming posesa significant threat to victim radar system. In this article, the problem of detecting moving target in the simultaneous presence of mainlobe smart jamming and array gain and phase (GP) errors is...
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Mainlobe jamming posesa significant threat to victim radar system. In this article, the problem of detecting moving target in the simultaneous presence of mainlobe smart jamming and array gain and phase (GP) errors is addressed in a frequency diverse array (FDA) radar. At the modeling stage, we assume that the elements of FDA radar are partially calibrated, where the array errors are modeled as GP inconsistency. On this basis, we propose a systematic scheme termed as joint jamming suppression and target detection (JJSTD), where the jamming-plus-noise covariance matrix is recovered to achieve precise removal of the jamming. To further enhance the detection performance of the moving target, we resort to the generalized Radon Fourier transform to accumulate target energy. Note that the proposed JJSTD requires neither nonlinear optimizations nor any prior knowledge regarding the target and mainlobe jamming. Numerical examples demonstrate the robustness of the proposed method against the array GP errors and mainlobe jamming. Moreover, it achieves desired outcomes even in the extreme scenario with array element failures and high jamming-to-signal ratio.
An electromagnetic particle-in-cell (PIC) simulation technique is used to analyze multipactor discharge on a dielectric with a beat wave composed of multiple high-power microwaves (HPMs) with similar frequencies. Unli...
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An electromagnetic particle-in-cell (PIC) simulation technique is used to analyze multipactor discharge on a dielectric with a beat wave composed of multiple high-power microwaves (HPMs) with similar frequencies. Unlike the single-frequency HPM, the strength of E-n of the multipactor with a beat wave fluctuates greatly with time, resulting in the root-mean-square value of E-n (strongly related to the average deposition power) being significantly greater than the absolute value of the arithmetic mean of E-n (the traditional indicator of the multipactor strength), where E-n is the electric field due to the deposited charges induced by multipactor. In this article, the influence of double-frequency and triple- frequency beat waves on multipactor is studied from the perspective of the root-mean-square value and absolute value of the arithmetic mean of E-n. The results show that the strong multipactor with a beat wave is unaffected by the spectra of the beat wave and the beat wave cannot inhibit the strong multipactor strength in contrast to a single-frequency HPM with the same average microwave power while the inhibition effect of a beat wave on a moderated multipactor is obvious. Further analysis shows that the suppression effect of a beat wave on a moderated multipactor is greatest when both the frequencies and phases of the beat wave are arranged in an arithmetic progression and the moderated multipactor can also be suppressed substantially when the amplitudes of the beat wave deviate slightly from the condition of equal amplitude.
Fresnel zone plate (FZP)-phase shifting surface (PSS)-based metasurface design techniques have demonstrated advantages in mechanical beam-scanning antenna design. However, mechanical beam-scanning metasurfaces based o...
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Fresnel zone plate (FZP)-phase shifting surface (PSS)-based metasurface design techniques have demonstrated advantages in mechanical beam-scanning antenna design. However, mechanical beam-scanning metasurfaces based on PSS are typically limited to narrowband operation and lack broadband capabilities in high millimeter-wave frequencies. To address the limitations of mechanical beam-scanning metasurfaces, a novel high-frequency design approach is proposed, which incorporates hybrid unit cells exhibiting high transmission amplitude and a 60 degrees phase difference across the broadband range. By integrating a combination of identical and nonidentical unit cells, the proposed design enables the realization of arbitrary transmission phase ranges with reduced design complexity. Furthermore, an analysis of the metal layer structure reveals that the introduction of additional resonance variables enhances phase difference stability in the broadband range. A PSS-based broadband mechanical scanning scheme is first proposed in the W-band, which is easy to integrate and has low processing costs. The beam-scanning metasurface predicated on this broadband PSS design achieves a 3-dB gain bandwidth of 20%, offering a promising solution for W-band wireless communication system.
Incorporating ergonomics in marine activities is critical due to the extreme working conditions and limited crew in marine vehicles, aiming to enhance productivity and job performance by reducing the risks of fatigue,...
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Incorporating ergonomics in marine activities is critical due to the extreme working conditions and limited crew in marine vehicles, aiming to enhance productivity and job performance by reducing the risks of fatigue, stress, and work-related musculoskeletal disorders. This paper introduces an innovative analogy of the flexible job-shop scheduling problem with ergonomic considerations (AFJSP-ER) to schedule maintenance activities in marine systems, addressing the dual objectives of optimizing productivity and promoting ergonomic relief. A novel metric, 'ergonomic impact load' is introduced to assess the actual workload of the crew by combining the processing time and the rapid entire body assessment (REBA) score of an operation. To solve the AFJSP-ER, an optimized non-dominated sorting genetic algorithm-II (ONSGA) is proposed, incorporating an optimized random crossover (ORX) operator. The ORX operator is fine-tuned using the Taguchi method to determine the optimal number of elements for crossover, while non-dominated sorting ensures the selection of superior individuals after crossover and mutation. The effectiveness of the proposed ONSGA has been validated through extensive experiments on newly developed test instances and using an industrial case study from the ship engine compartment. The results also indicate that the AFJSP-ER approach effectively optimizes productivity and promotes ergonomic relief, offering a practical solution for scheduling in ergonomically challenging marine environments.
With the continuous development of intelligent transportation systems, achieving efficient vehicle-road coordination and task scheduling has become increasingly important for enhancing safety and efficiency. In order ...
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With the continuous development of intelligent transportation systems, achieving efficient vehicle-road coordination and task scheduling has become increasingly important for enhancing safety and efficiency. In order to effectively solve the problem that it is difficult to adapt to the intelligent transportation system due to the heterogeneity of cloud and edge computing resources and the complexity of communication, this paper proposes an intelligent transportation vehicle road collaboration and task scheduling method based on deep learning in the enhanced Internet of Things (IoT) environment. The proposed method utilizes a Collaborative Task Placement Deep Reinforcement Learning strategy (CTPDRL) and builds a cloud-edge collaborative computing framework controlled by deep reinforcement learning. Then, from the perspective of the interests of users and service providers, the task model under cloud edge collaborative computing is analyzed, and a system service quality model is established. Through Deep Q Networks (DQN) and Q-tables, CTPDRL can optimize the allocation of computing and communication resources, achieving effective task placement. The experimental results show that our proposed method can effectively reduce the overall cost of cloud and edge cloud computing, improve the practicality of the system in multi edge cloud environments, and help solve the problem of image perception blind spots in intelligent transportation, thereby improving the safety and efficiency of intelligent driving.
This paper included a detailed discussion of the delayed fractional-order neural networks (FONNs) subject to impulse effects as well as their fixed-time synchronization (FXTS) problem. To explore this issue, an advanc...
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This paper included a detailed discussion of the delayed fractional-order neural networks (FONNs) subject to impulse effects as well as their fixed-time synchronization (FXTS) problem. To explore this issue, an advanced fixed-time stability (FTS) is introduced, which considers the impact of order alpha\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\alpha $$\end{document} on settling-time (ST), allows time-varying functions for the coefficients and indefinite derivatives of the Lyapunov function (LF). Next, several measures are adopted to handle issues in control systems. Firstly, a piecewise function is utilized within the integral function to avoid integral windup. Secondly, a class of fractional-order integral sliding mode control (FOSMC) and a class of fractional-order integral sliding mode surface (FOSMS) with odd power characteristics are designed. This design addresses the chattering problem resulting from the sign function and enables the fixed-time reachability and stability of the sliding mode dynamics. Subsequently, several relevant conditions were obtained to solve the FXTS problem of FONNs with impulse effects. At last, to verify the effectiveness of the theoretical results, a numerical simulation is provided.
To increase the power level and simplify the power-combining system, the critical issue is the phase-locked of magnetrons. To solve this problem, a novel structure based on peer-to-peer locking is proposed. The struct...
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To increase the power level and simplify the power-combining system, the critical issue is the phase-locked of magnetrons. To solve this problem, a novel structure based on peer-to-peer locking is proposed. The structure called $\pi$ -structure-device (PSD) consists of a four-port waveguide and two symmetrical metal blocks. Changing the size and relative position of the two metal blocks, scattering parameters can be altered. In simulation, the structure can achieve 99% energy output. To verify this performance, a dual-way magnetron phase-locked system is conducted without extra external signal sources, circulators, and phase shifters. When signals from the magnetrons passed through the structure are injected into each other, the energy will be exchanged ultimately achieving a stable phase difference state, thereby achieving phase locked. Corresponding experimental results indicate that the proposed system can achieve the efficient phase-locked in two magnetrons and the output efficiency is approximately 97.2%. The system has the advantage of high efficiency phase-locked and low cost. An appropriate waveguide structure to form an array can be used to achieve phase-locked of multiple magnetrons. Our investigation is significant for efficient microwave power combining applications.
A short double-grating rectangular waveguide (DGRW) slow wave structure (SWS) is designed and compared in detail with DGRW. Significant modifications are made to the corrugation geometry to optimize the dispersion cha...
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A short double-grating rectangular waveguide (DGRW) slow wave structure (SWS) is designed and compared in detail with DGRW. Significant modifications are made to the corrugation geometry to optimize the dispersion characteristics, resulting in a broader frequency passband and enhanced frequency tunability. The high-frequency performance is analyzed in terms of dispersion and interaction impedance. The structure shows an interaction impedance of 1.5 Omega at 0.34 THz. To confirm the effectiveness of the proposed design, a 0.34-THz backward wave oscillator circuit is designed and fabricated comprising 160 periods. The circuit is assembled and cold-tested for scattering parameters. The results show S-21 values above -1.5 dB and S11 below -20 dB for a broad frequency range. The beam-wave interaction simulations using a 30-kV, 30-mA electron beam, and 0.2-T focusing magnetic field show that the backward wave oscillator based on the proposed design achieves an average output power of 16 W at 0.34 THz, with a frequency tuning range of 95 GHz when compared with 57 GHz for the DGRW-based backward wave oscillator.
A numerical evaluation approach for strongly near-singular integrals in the high-order method of moments (MoM) is presented in this article. The approach starts with a three-subtriangle division and the establishment ...
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A numerical evaluation approach for strongly near-singular integrals in the high-order method of moments (MoM) is presented in this article. The approach starts with a three-subtriangle division and the establishment of a local coordinate system for each subtriangle. A Duffy transformation is then introduced to transform the surface integral in the Cartesian system into a radial-angular form to mitigate the singularities in the y-direction. According to the pole-based asymptotic analysis of the truncation error, successive sinh transformations are subsequently applied to both inner and outer integrals to accelerate the error convergence of numerical integration. Finally, by introducing a projection surface, the proposed method is further extended to curvilinear elements and applied to the high-order MoM. Numerical results have demonstrated the accuracy and efficiency of the proposed method for strongly near-singular integrals and its applicability in high-order MoM for practical electromagnetic (EM) scattering problems.
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