查看更多>>摘要：Due to complex spatiotemporal couplings, it is difficult to detect and locate spatiotemporal abnormal sources for distributed parameter systems (DPSs) with unknown governing equations. In this research, a spatiotemporal transform network-based anomaly detection and localization framework is proposed for unknown DPSs. Considering the orthogonality, the spatial basis functions (SBFs) are optimized by the nonlinear space–time separation network to achieve the minimal reconstruction error. The Gaussian process regression is used to identify the temporal dynamics, based on which the temporal statistic is constructed. A comprehensive statistic is designed by considering the temporal dynamics and spatial dissimilarity for reliable detection. With the spatial construction, the weighted absolute error of SBFs is constructed for anomaly localization. The anomaly detectability is proven by theoretical analysis. Experiments on a lithium-ion battery demonstrate the effectiveness and superiority of the proposed method in detecting and localizing battery internal short circuits.
查看更多>>摘要：To promote the sharing of medical data assets (MDAs) in a more secure and sustainable manner, this article presents a blockchain-based MDA sharing framework. The contributions of this article are threefold. First, we designed a layered-architecture to decouple the privacy-preserving responsibilities among technologies considering the incentive rewarding and parallelization of execution. Second, we introduce zero-knowledge proofs (ZKPs) in smart contracts with a group signature to construct a supervisory privacy-preserving sharing mechanism, which can be executed in a decentralized environment to protect the privacy of MDAs. Third, we introduce an incentive mechanism that motivates MDA sharing by capturing the decentralized features of the participants to deliver fair rewards. The experiments show that our framework achieves a comprehensive privacy protection on sharing MDAs, comparing with single blockchain sharing schema, with only 2.2% sacrifice on TPS (throughput/second). Moreover, our framework has better potential for large-scale application due to the paralleled execution on ZKP-based smart contracts.
查看更多>>摘要：In this article, we propose an event-triggered interval observer fault diagnosis scheme for cyber–physical dc microgrids. First, a distributed interval observer is designed for each distributed generation unit interconnected by a power line. Then, an adaptive periodic event-triggered mechanism is put forward for saving communication cost. With the bounded fault signal and disturbances, the observer gain and event-triggered parameter can be determined by involving disturbance robustness, fault sensitivity, nonnegativity conditions, and regional pole placement for fast fault detection simultaneously. Based on it, the convergence rate of the state error dynamics can be enhanced to implement fast fault detection. It is shown that the proposed interval observer does not need to develop the residual evaluation function and threshold generator since zero is a natural threshold. The effectiveness and superiority of the proposed scheme are verified through simulations.
查看更多>>摘要：To meet the stringent requirements of industrial applications, modern Ethernet datacenter networks widely deployed with remote direct memory access (RDMA) technology and priority-based flow control (PFC) scheme aim at providing low latency and high throughput transmission performance. However, the existing end-to-end congestion control cannot handle the transient congestion timely due to the round-trip-time (RTT) level control loop, inevitably resulting in PFC triggering. In this article, we propose a Sub-RTT congestion control mechanism called SRCC to alleviate bursty congestion timely. Specifically, SRCC identifies the congested flows accurately, notifies congestion directly from the hotspot to the corresponding source at the sub-RTT control loop and adjusts the sending rate to avoid PFC's head-of-line blocking. Compared to the state-of-the-art end-to-end transmission protocols, the evaluation results show that SRCC effectively reduces the average flow completion time (FCT) by up to 61%, 52%, 40%, and 24% over datacenter quantized congestion notification (DCQCN), Swift, high precision congestion control (HPCC), and photonic congestion notification (PCN), respectively.
查看更多>>摘要：This article presents a new control for multirenewable energy sourced microgrid (MG) that performs operational mode change seamlessly with added power quality improvement features. This MG comprises of a wind turbine driven doubly fed induction generator and a solar photovoltaic array. This control presents an adaptive current control based on proportionate robust diffusion recursive least exponential hyperbolic cosine method utilized for fundamental weight extraction. This adaptive control offers a superior convergence rate and noise-free weight estimates, thereby providing significant harmonics reduction from injected grid currents. A change of MG operational mode is due to check imposed by islanding scheme, which functions reliably due to accurate calculation of phase angles provided by multiple delayed signal cancellation (MDSC) frequency-locked loop method. MDSC prefilter mitigates issues of harmonics distortion and dc-offset from input voltage signal, providing accurate estimates. This new control is tested on a developed prototype in the laboratory using a dSPACE MicroLabBox DS1202, under adverse operational conditions.
查看更多>>摘要：The secure access of numerous heterogeneous devices ensures the stability of the industrial Internet of Things. Centralized authentication can be overwhelmed by an influx of authentication requests from malicious devices. Distributed device-to-device authentication is vulnerable to tampering attack evidence. Blockchain authentication eases evidence tampering, but traditional blockchains impose high-performance requirements on devices, rendering them unsuitable for resource-limited devices. Therefore, in this article, we apply IOTA to device access authentication. To the best of authors' knowledge, this is the first application. Based on this, we propose a blockchain-enabled distributed authentication mechanism for industrial device access. The authentication involves a consensus phase based on optimized IOTA and a unique identification code validation phase. We optimized the tip selection algorithm of IOTA to make it faster and more stable. The performance experiment results demonstrate that our mechanism meets the time-consuming requirements of device access. The security experiments indicate that the authentication phases effectively intercept the attacks.
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NSTL
IEEE