Electronics Letters最新文献

As generative models become more advanced and essential, interest in using these models for image editing is growing. Nevertheless, conventional image editing methods still have many problems and can alter the intrinsic properties (e.g. geometry) of an object during the editing process. In this article, a novel geometry-preserved image editing method is presented, where key points, keyframe, or canny edges are utilized as inputs for geometric constraints. A text prompt is fed into the inversion pipeline along with the input image and key points/keyframes/canny for editing. Then, new images are generated based on the editing pipeline of the denoising diffusion implicit model. Experiments demonstrate that the method outperforms its baselines.

We report the first-time measurement of the electron-hole pair (ehp) creation energy (W_ehp) in novel Cd_0.9Zn_0.1Te_0.98Se_0.02 (CZTS) quaternary semiconductor. CZTS in single crystalline form is poised to be the future of large-volume room-temperature gamma-ray detectors due to its excellent compositional homogeneity with highly reduced defects, high-Z (atomic number) constituents, wide bandgap (1.6 eV), and superior charge transport properties. Despite a great deal of study of the material and device properties since its inception, the W_ehp in CZTS has not been measured experimentally. Accurate determination of W_ehp is essential for calibration of the spectrometer and other theoretical calculations. In this study we have used an absolute calibration approach, which is based on an iterative approach that yields the W_ehp as the best-fit parameter. Using a ²⁴¹Am alpha emitting radioisotope and a planar CZTS detector, the W_ehp in CZTS was calculated to be 4.47 eV. The obtained value has been validated by accurately predicting the peak energy for gamma rays emitted by a ¹³⁷Cs source and read by a CZTS detector with different dimensions. The dependences of the calculated W_ehp value on the detector dimensions, type of interaction, and effect of charge trapping are also discussed.

The Strauss point process is a very popular model for describing the random cellular networks, yet several key statistical properties such as intensity, empty space function, and probability generating functional have remained elusive. This article addresses these issues by first leveraging the Poisson saddle point method to approximate the distance-conditioned intensity for Strauss point processes. Subsequently, the author derives an analytically tractable expression for the distribution of empty space distance based on a conditional thinning mechanism. Additionally, the author establishes an upper bound for the probability generating functional in Strauss point processes, which is crucial for evaluating the Laplace transform of cumulative interference in relevant cellular networks. These findings facilitate the systematic derivation of spatially averaged probability of coverage, and the accuracy of analytic results is validated through simulations.

This article proposes a cooperative jamming (CJ) architecture based on the coded signal of interest (SOI). The CJ is superimposed on the coded SOI directly at the transmitter, and the authorized user reconstructs the received signal and cancels the CJ based on the prior knowledge of the coding information, then different radiation patterns after cancellation are created for SOI and CJ, which effectively cancels CJ while retaining SOI. Eavesdropper, however, is unaware of the coding information and will cause significant loss to the SOI while cancelling the CJ, therefore unable to achieve eavesdropping on communication signals. Numerical results verify the feasibility of the proposed method.

In this letter, a Quasi-Helmholtz Projector method including multibranch Rao-Wilton-Glisson (MB-RWG) basis function to calculate the scattering problem of multiscale targets at low frequencies is proposed. The loop basis function and the star basis function including MB-RWG basis function are constructed, and the loop basis function and the star basis function including MB-RWG basis function are used to construct the Quasi-Helmholtz Projector. The proposed method is coined MB-Quasi-Helmholtz Projector (MB-QHP) method. The MB-QHP method can effectively solve the low frequency breakdown (LFB) problem in electric field integral equation (EFIE). Compared with the MB-loop-star method, the condition number is lower, the convergence is faster, and the search for global loop is avoided. Meanwhile, due to the existence of the MB-RWG basis function, the proposed method can divide the calculation region into several regions with different mesh sizes. Numerical example shows the advantages of the proposed method.

Because of the intermittency and randomness of wind power generation, constructing an accurate wind power generation forecasting model is of great necessity for stable operation and optimal scheduling of modern power systems. Considering the unsatisfied performance of the single learner model and the diverse learning abilities of different machine learning algorithms, XGBoost model, KNN algorithm, SVM algorithm, and CNN-BiLSTM-Attention neural network are integrated via blending ensemble architecture to construct the multi-model fusion short-term wind power forecasting model. Pearson correlation analysis is applied to reveal the interrelation between meteorological factors and wind power. Additionally, the training samples of base learners are reconstructed for ensuring all data can be utilized. The advantages of each learner are combined co-ordinately via blending ensemble learning framework. Prediction results of ensemble learning model and single learner model are compared in the same scenario. Simulation results indicate that the ensemble learning model can effectively extract potential features of input information and realize higher prediction accuracy.

A PID-inspired accelerated distributed optimal control algorithm is proposed for the economic dispatch problem of a multi-bus DC microgrid, which contains both conventional generators (CGs) and renewable generators (RGs). Firstly, a constrained optimization problem with the aim of minimizing the power generation cost of the DC microgrid is established. To solve the optimization problem, an accelerated distributed optimal control algorithm in the discrete-time domain is proposed. The convergence speed of the proposed algorithm is significantly improved compared to the existing distributed optimization algorithms without acceleration terms. More importantly, the communication cost is greatly reduced. The proposed algorithm is in a fully distributed manner, which means each controller only relies on the limited information from neighbouring controllers to achieve optimal cooperative control and bus voltage regulation across multiple buses. Finally, the effectiveness of the proposed algorithm is validated through numerical simulations.

Open-Domain Question Answering (ODQA) has attracted increasing interests due to its extensive applications in search engines and smart robots. In the experiments, it is observed that the convergence of the method has a huge effect on the generalizability performance. Motivated by this observation, an unsupervised clustering technique (namely, ClusSampling) is proposed to promote both the convergence and efficacy of existing ODQA methods via unsupervised clustering. Specifically, unsupervised clustering is first conducted and then negative samples are selected for higher similarity to the questions. In addition, the authors propose to use gap statistics to determine the optimal number of clusters. Experimental results show that the method achieves notable speedup during training and produces accuracy gains of 5.3% and 2.2 on two widely used benchmarks.

Conflict game theory is employed to analyze the countermeasure relationship between radar systems and jammers. To address this issue, a novel utility function and a Conflict Power Allocation Game (CPAG) algorithm are introduced for determining the Nash Equilibrium (NE) solution of the game. The utility function enables the calculation of optimal power response functions for both the radar system and the jammer, with the NE solution of the CPAG algorithm obtained through numerical computation. Simulation results demonstrate the convergence of the proposed CPAG algorithm to the NE solution, validating its efficacy. Finally, an analysis of the relationship between the utility function and pricing factors is conducted based on the proposed CPAG algorithm and simulation outcomes.

This letter presents a Ka-band low-cost microstrip line phase shifter based on liquid crystal (LC) technology. Furthermore, a sum-difference beamforming antenna array based on the LC phase shifter is designed. The phase shifter is composed of two coaxial connectors, a metal base, an intermediate dielectric layer, a gradient metal sheet and a top glass layer. The simulated results show that a nearly 360° phase shift coverage can be achieved with the effective permittivity of LC varying from 2.5 to 3.5. The sum-difference beam antenna array is composed of a circulator, a sum-difference network, a one-to-eight power-division network, eight liquid crystal phase shifters, and a serious fed antenna array. The simulation results show that the antenna array can achieve sum-difference beam scanning range of ±30°. A prototype of LC phase shifter is fabricated and tested. The results show that the designed LC phase shifter can achieve a 360° phase coverage by applying a direct current (DC) voltage ranging from 0 to 12 V. Compared to traditional phase shifters, the proposed design offers a simple structure at a lower cost. When applied in the design of a sum-difference beam antenna array, it can reduce the producing cost and enable integrated design.