supported by the National Key Research and Development Program of China(No.2022YFB3203900)。
Conformal thin-film sensors enable precise monitoring of the operating conditions of components in extreme environments.However,the development of these sensors encounters major challenges,especially in uniformly appl...
funded by the National Natural Science Foundation of China(Nos.41474010,61401509)。
Single-sensor monitoring of flood events at high spatial and temporal resolutions is difficult because of the lack of data owing to instrument defects,cloud contamination,imaging geometry.However,combining multisensor...
supported by the National Key Research and Development Program of China(2016YFC1400900);National Natural Science Foundation of China(NSFC)(41775023);Excellent Young Scientist Program of Zhejiang Provincial Natural Science Foundation of China(LR19D050001);Fundamental Research Funds for the Central Universities(2019FZJD011);State Key Laboratory of Modern Optical Instrumentation Innovation Program(MOI2018ZD01).
Surface defects(SDs)and subsurface defects(SSDs)are the key factors decreasing the laser damage threshold of optics.Due to the spatially stacked structure,accurately detecting and distinguishing them has become a majo...
supported by the National Natural Science Foundation of China(Grant Nos.62076031,62073036);Beijing Natural Science Foundation(Grant No.4202071)。
Inspired by the robust student t-distribution based nonlinear filter(RSTNF),a student tdistribution and unscented transform(UT)based filter for state estimation of heavy-tailed nonlinear dynamic systems,a modified RST...
supported by the Qian Xuesen Laboratory of Space Technology,China Academy of Space Technology(grant number GZZKFJJ2020004);the National Natural Science Foundation of China(grant numbers 61875013 and 61827814);the Natural Science Foundation of Beijing Municipality(grant number Z19J00064).
Despite the promising performance on benchmark datasets that deep convolutional neural networks have exhibited in single image super-resolution(SISR),there are two underlying limitations to existing methods.First,curr...
Project supported by the Key Laboratory Foundation of National Defence Technology,China(No.61424010306);the Joint Fund of Equipment Development and Aerospace Science and Technology,China(No.6141B0624050101);the National Natural Science Foundation of China(Nos.61901489 and 62071389)。
In this study,we provide an overview of recent advances in multisensor multitarget tracking based on the random finite set(RFS)approach.The fusion that plays a fundamental role in multisensor filtering is classified i...
supported by the National Natural Science Foundation of China(No.61271317);the Aerospace Sci.&Tech.Foundation(No.15GFZ-JJ02-07)
Focusing on the problem of state estimation in the presence of sensor faults and Out-of-sequence measurement(OOSM)observations synchronously,we derive a formulation of Linear minimum mean squared error(LMMSE)filter wi...
The authors are grateful to O.Lominoga and Zh.Lyadova from SUE“Vodokanal of St.Petersburg”for their valuable help in organizing the experiments.DK acknowledges financial support from RFBR project#17-33-50101.EL and AL acknowledge partial financial support from the Government of Russian Federation,Grant 08-08.VB thanks the Russian Ministry of Education and Science for support of this work within the framework of the basic part of the state task on the theme:“Adaptive technologies of analytical control based on optical sensors”(Project No.4.7001.2017/BP).
In this study,a multisensor system consisting of 23 potentiometric sensors was applied for long-term online measurements in outlet flow of the water treatment plant.Within 1 month of continuous measurements,the data s...
Express diagnostics of biological objects is necessary for operational preliminary assessment of the condition of the patient. A method of recognition of differences between the norm and pathology is based on analysis...