Stochastic Behavior of the Nonnegative Least Mean Fourth Algorithm for Stationary Gaussian Inputs and Slow Learning

Some system identification problems impose nonnegativity constraints on the parameters to estimate due to inherent physical characteristics of the unknown system. The nonnegative least-mean-square (NNLMS) algorithm and its variants allow to address this problem in an online manner. A nonnegative least mean fourth (NNLMF) algorithm has been recently proposed to improve the performance of these algorithms in cases where the measurement noise is not Gaussian. This paper provides a first theoretical analysis of the stochastic behavior of the NNLMF algorithm for stationary Gaussian inputs and slow learning. Simulation results illustrate the accuracy of the proposed analysis.Comment: 11 pages, 8 figures, submitted for publicatio

China’s 10-year progress in DC gas-insulated equipment: From basic research to industry perspective

The construction of the future energy structure of China under the 2050 carbon-neutral vision requires compact direct current (DC) gas-insulation equipment as important nodes and solutions to support electric power transmission and distribution of long-distance and large-capacity. This paper reviews China's 10-year progress in DC gas-insulated equipment. Important progresses in basic research and industry perspective are presented, with related scientific issues and technical bottlenecks being discussed. The progress in DC gas-insulated equipment worldwide (Europe, Japan, America) is also reported briefly

The Ninth Visual Object Tracking VOT2021 Challenge Results

acceptedVersionPeer reviewe

Accident Modeling and Analysis of Nuclear Reactors

Nuclear energy has played and will continue playing a key role in the fight against climate change due to its extremely low green-house gas emissions, and high energy density and reliability [...

Influence of thermal neutron scattering effect of FLiBe molten salt on neutronic performance of molten salt reactors

BackgroundFLiBe is commonly used as the coolant and carrier salt in liquid molten salt reactors (MSRs). Its certain moderating properties and thermal neutron scattering attributes affect the neutronic performance of the MSR, and this in turn influences the physical design and safe operation of the reactor. Consequently, studying FLiBe's thermal neutron scattering data is essential for MSRs.PurposeThis study aims to analyze the influence of of FLiBe thermal neutron scattering on neutronic performances of a 65-MW MSR.MethodsFirst, according to the requirements, a core model of a 65-MW MSR was established by using the general Monte Carlo procedure. Then, the neutronics performance of the MSR was calculated by considering the scattering cross-section of the free gas model and FLiBe thermal neutron scattering data (e.g., the neutron spectrum, effective multiplication factor, and nuclide reactivity rate). Finally, the changes in the influence of FLiBe thermal neutron scattering effect on neutronic properties under different energy spectra were compared.ResultsThe computation results show that, by considering the thermal scattering effect of FLiBe molten salt, the neutron energy spectrum in the core of the MSR becomes harder, 235U fission rate decreases, the keff value of the reactor decreases, but the density coefficient in the temperature reaction coefficient of the fuel keeps almost unchanged, and the Doppler coefficient decreases by 0.28×10-5 K-1. With the hardening of the energy spectrum, the variation in the 235U fission rate reduction decreases, and the decrease in keff caused by thermal neutron scattering changs from 9.2×10-4 to 2×10-4.ConclusionsTherefore, it is necessary to incorporate FliBe's thermal neutron scattering data into the physical calculations for the MSR core

Rutin alleviates ventilator-induced lung injury by inhibiting NLRP3 inflammasome activation

Summary: Whether rutin relieves ventilator-induced lung injury (VILI) remains unclear. Here, we used network pharmacology, bioinformatics, and molecular docking to predict the therapeutic targets and potential mechanisms of rutin in the treatment of VILI. Subsequently, a mouse model of VILI was established to confirm the effects of rutin on VILI. HE staining showed that rutin alleviated VILI. TUNEL staining showed that rutin reduced apoptosis in the lung tissue of mice with VILI, and the same change was observed in the ratio of Bax/Bcl2. Furthermore, rutin reduced the expression of NLRP3, ASC, Caspase1, IL1β, and IL18 in the lung tissues of mice with VILI. Mechanistically, rutin suppressed the TLR4/NF-κB-P65 pathway, which promoted the M1 to M2 macrophage transition and alleviated inflammation in mice with VILI. Rutin relieved NLRP3 inflammasome activation by regulating M1/M2 macrophage polarization and inhibiting the activation of the TLR4/NF-κB-P65 pathway, resulting in the amelioration of VILI in mice

University Of Central Florida At Trecvid 2008 Content Based Copy Detection And Surveillance Event Detection

In this paper, we describe our approaches and experiments in content-based copy detection (CBCD) and surveillance event detection pilot (SEDP) tasks of TRECVID 2008. We have participated in the video-only CBCD task and four of the SEDP events. The CBCD method relies on sequences of invariant global image features and efficiently matching and ranking of those sequences. The normalized Hu-moments are proven to be invariant to many transformations, as well as certain level of noise, and thus are the basis of our system. The most crucial property of proposed CBCD system is that it relies on the sequence matching rather than independent frame correspondences. The experiments have shown that this approach is quite useful for matching videos under extensive and strong transformations which make single frame matching a challenging task. This methodology is proven to be fast and produce high F1 detection scores in the TRECVID 2008 task evaluation. We also submitted four individual surveillance event detection systems. Person-Runs , Object-Put , Opposing-Flow and Take-Picture are the four selected events. The systems rely on low level vision properties such as optical flow and image intensity as well as heuristics based on a given event and context