Good distribution of samples and weights can improve the computational accuracy and efficiency in the stochastic response analyses of aerospace problems with uncertain *** work proposes a new Generalized L2 Discrepanc...
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Good distribution of samples and weights can improve the computational accuracy and efficiency in the stochastic response analyses of aerospace problems with uncertain *** work proposes a new Generalized L2 Discrepancy based on a General Point(GL2D-GP)for generating samples and their corresponding *** proposed GL2D-GP is an extension of the existing discrepancy by introducing the non-same weights and a smaller box to measure probability *** the GL2D-GP can yield a weight optimization formula that generates a set of optimal non-identical weights for a given sample *** minimizing the GL2D-GP assigned to the set of optimal non-same weights,a new sample and weight generation method is *** the proposed method,the samples can be easily generated in terms of the generalized Halton formula with a series of optimal permutation vectors which are found by the intelligent evolutionary *** the sample set is obtained,the optimal weights can be generated in terms of the weight optimization *** numerical examples are presented to verify the high accuracy,efficiency,and strong robustness of the proposed sample generation method based on GL2D-GP.
This paper explores a multi-user covert communication scenario with the assistance of a reconfigurable intelligent surface (RIS). Except a covert user monitored by the warden, there are multiple public users existing ...
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Encryption is a valid means to safeguard the safety of images, and for color images, encryption should be performed considering the intrinsic correlation between R, G, and B components. In this paper, we propose an im...
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作者：
Li, CongShen, QingniWu, ZhonghaiPeking University
School of Software and Microelectronics Beijing100871 China Peking University
National Engineering Research Center for Software Engineering Beijing100871 China Peking University
Key Laboratory of High Confidence Software Technologies Ministry of Education Beijing100871 China Peking University
PKU-OCTA Laboratory for Blockchain and Privacy Computing Beijing100871 China
Recently, redactable blockchains have attracted attention owing to enabling the contents of blocks to be re-written. The existing redactable blockchain solutions can be classified as two categories, the centralized on...
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With the development of deep learning in recent years, code representation learning techniques have become the foundation of many softwareengineering tasks such as program classification [1] and defect detection. Ear...
With the development of deep learning in recent years, code representation learning techniques have become the foundation of many softwareengineering tasks such as program classification [1] and defect detection. Earlier approaches treat the code as token sequences and use CNN, RNN, and the Transformer models to learn code representations.
This paper addresses the planning problem of parallel DC electric springs (DCESs). DCES, a demand-side management method, realizes automatic matching of power consumption and power generation by adjusting non-critical...
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This paper addresses the planning problem of parallel DC electric springs (DCESs). DCES, a demand-side management method, realizes automatic matching of power consumption and power generation by adjusting non-critical load (NCL) and internal storage. It can offer higher power quality to critical load (CL), reduce power imbalance and relieve pressure on energy storage systems (RESs). In this paper, a planning method for parallel DCESs is proposed to maximize stability gain, economic benefits, and penetration of RESs. The planning model is a master optimization with sub-optimization to highlight the priority of objectives. Master optimization is used to improve stability of the network, and sub-optimization aims to improve economic benefit and allowable penetration of RESs. This issue is a multivariable nonlinear mixed integer problem, requiring huge calculations by using common solvers. Therefore, particle Swarm optimization (PSO) and Elitist non-dominated sorting genetic algorithm (NSGA-II) were used to solve this model. Considering uncertainty of RESs, this paper verifies effectiveness of the proposed planning method on IEEE 33-bus system based on deterministic scenarios obtained by scenario analysis.
MXenes—a kind of two-dimensional(2D) carbides, nitrides, oxycarbides and carbonitrides of early transition metals—have high mechanical and electrical properties and excellent photothermal conversion, biocompatibilit...
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MXenes—a kind of two-dimensional(2D) carbides, nitrides, oxycarbides and carbonitrides of early transition metals—have high mechanical and electrical properties and excellent photothermal conversion, biocompatibility and osteoinductivity [1–4].
Graph convolutional neural networks, which aim to learn the spatial correlation within multivariate time-series data, have achieved significant advancements in traffic prediction. Despite the proliferation of various ...
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Due to the limited resources, authentication schemes for low-cost wireless sensors networks (WSNs) environment prefer to use lightweight cryptographic primitives, like symmetric key encryption/decryption or hash funct...
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Video Question Answering (VideoQA) tasks require not only correct answers but also visual evidence. The "localize-then-answer" strategy, while enhancing accuracy and interpretability, faces challenges due to...
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