The Direction of Arrival （DOA） estimation methods for underwater acoustic target using Temporally Multiple Sparse Bayesian Learning （TMSBL） as the reconstructing algorithm have the disadvantage of slow computing s...The Direction of Arrival （DOA） estimation methods for underwater acoustic target using Temporally Multiple Sparse Bayesian Learning （TMSBL） as the reconstructing algorithm have the disadvantage of slow computing speed. To solve this problem, a fast underwater acoustic target direction of arrival estimation was proposed. Analyzing the model characteristics of block-sparse Bayesian learning framework for DOA estimation, an algorithm was proposed to obtain the value of core hyper-parameter through MacKay＇s fixed-point method to estimate the DOA. By this process, it will spend less time for computation and provide more superior recovery performance than TMSBL algorithm. Simulation results verified the feasibility and effectiveness of the proposed algorithm.展开更多
In the bistatic case, theoretical analysis and experimental researches on underwater acoustic scattering properties of some submarine model are made in this paper. When sourcet target and receiver have complicated tri...In the bistatic case, theoretical analysis and experimental researches on underwater acoustic scattering properties of some submarine model are made in this paper. When sourcet target and receiver have complicated triangular configuration, the relationships among target strength, incidence angle and bistatic angle are obtained. The validity of this theory is verified by theoretical calculations and tank experiments. The research results can be directly used in bistatic or multistatic underwater acoustic detection systems.展开更多
Plants are sessile organisms that evolve with a flexible signal transduction system in order to rapidly respond to environmental changes.Drought,a common abiotic stress,affects multiple plant developmental processes e...Plants are sessile organisms that evolve with a flexible signal transduction system in order to rapidly respond to environmental changes.Drought,a common abiotic stress,affects multiple plant developmental processes especially growth.In response to drought stress,an intricate hierarchical regulatory network is established in plant to survive from the extreme environment.The transcriptional regulation carried out by transcription factors(TFs)is the most important step for the establishment of the network.In this review,we summarized almost all the TFs that have been reported to participate in drought tolerance(DT)in plant.Totally 466 TFs from 86 plant species that mostly belong to 11 families are collected here.This demonstrates that TFs in these 11 families are the main transcriptional regulators of plant DT.The regulatory network is built by direct protein-protein interaction or mutual regulation of TFs.TFs receive upstream signals possibly via post-transcriptional regulation and output signals to downstream targets via direct binding to their promoters to regulate gene expression.展开更多
基金supported by the National Natural Science Foundation of China(11574120,U1636117)the Open Project Program of the Key Laboratory of Underwater Acoustic Signal Processing,Ministry of Education,China(UASP1503)+1 种基金the Natural Science Foundation of Jiangsu Province of China(BK20161359)Foundation of Key Laboratory of Underwater Acoustic Warfare Technology of China and Qing Lan Project
文摘The Direction of Arrival （DOA） estimation methods for underwater acoustic target using Temporally Multiple Sparse Bayesian Learning （TMSBL） as the reconstructing algorithm have the disadvantage of slow computing speed. To solve this problem, a fast underwater acoustic target direction of arrival estimation was proposed. Analyzing the model characteristics of block-sparse Bayesian learning framework for DOA estimation, an algorithm was proposed to obtain the value of core hyper-parameter through MacKay＇s fixed-point method to estimate the DOA. By this process, it will spend less time for computation and provide more superior recovery performance than TMSBL algorithm. Simulation results verified the feasibility and effectiveness of the proposed algorithm.
文摘In the bistatic case, theoretical analysis and experimental researches on underwater acoustic scattering properties of some submarine model are made in this paper. When sourcet target and receiver have complicated triangular configuration, the relationships among target strength, incidence angle and bistatic angle are obtained. The validity of this theory is verified by theoretical calculations and tank experiments. The research results can be directly used in bistatic or multistatic underwater acoustic detection systems.
基金supported by Research Initiation Fund for High-level Talents of China Three Gorges University.
文摘Plants are sessile organisms that evolve with a flexible signal transduction system in order to rapidly respond to environmental changes.Drought,a common abiotic stress,affects multiple plant developmental processes especially growth.In response to drought stress,an intricate hierarchical regulatory network is established in plant to survive from the extreme environment.The transcriptional regulation carried out by transcription factors(TFs)is the most important step for the establishment of the network.In this review,we summarized almost all the TFs that have been reported to participate in drought tolerance(DT)in plant.Totally 466 TFs from 86 plant species that mostly belong to 11 families are collected here.This demonstrates that TFs in these 11 families are the main transcriptional regulators of plant DT.The regulatory network is built by direct protein-protein interaction or mutual regulation of TFs.TFs receive upstream signals possibly via post-transcriptional regulation and output signals to downstream targets via direct binding to their promoters to regulate gene expression.
