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Multi-Layer Deep Sparse Representation for Biological Slice Image Inpainting

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Computers, Materials & Continua 2023年第9期76卷 3813-3832页

作者： Haitao hu hongmei Ma Shuli Mei College of Information and Electrical Engineering China Agricultural UniversityBeijing100000China Yantai Research Institute China Agricultural UniversityYantai264670China

Biological slices are an effective tool for studying the physiological structure and evolutionmechanism of biological ***,due to the complexity of preparation technology and the presence of many uncontrollable factors during the preparation processing,leads to problems such as difficulty in preparing slice images and breakage of slice ***,we proposed a biological slice image small-scale corruption inpainting algorithm with interpretability based on multi-layer deep sparse representation,achieving the high-fidelity reconstruction of slice *** further discussed the relationship between deep convolutional neural networks and sparse representation,ensuring the high-fidelity characteristic of the algorithm first.A novel deep wavelet dictionary is proposed that can better obtain image prior and possess learnable *** multi-layer deep sparse representation is used to implement dictionary learning,acquiring better signal *** with methods such as NLABH,Shearlet,Partial Differential Equation(PDE),K-Singular Value Decomposition(K-SVD),Convolutional Sparse Coding,and Deep Image Prior,the proposed algorithm has better subjective reconstruction and objective evaluation with small-scale image data,which realized high-fidelity inpainting,under the condition of small-scale image *** theOn2-level time complexitymakes the proposed algorithm *** proposed algorithm can be effectively extended to other cross-sectional image inpainting problems,such as magnetic resonance images,and computed tomography images.

关键词： Deep sparse representation image inpainting convolutional sparse modelling deep neural network

Sizing optimization for island microgrid with pumped storage system considering demand response

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Journal of Modern Power Systems and Clean Energy 2018年第4期6卷 791-801页

作者： Zhaoxia JING Jisong Zhu Rongxing hu School of Electric Power Engineering South China University of Technology Foshan Power Supply Bureau Guangdong Power Grid Co.Ltd.

Currently, small islands are facing an energy supply shortage, which has led to considerable *** an island microgrid is a relatively good solution to the problem. However, high investment costs restrict its application. In this paper, micro pumped storage(MPS) is used as an energy storage system(ESS) for islands with good geographical conditions, and deferrable appliance is treated as the virtual power source which can be used in the planning and operational *** acceptance of demand response(DR) is indicated by the demand response participation degree(DRPD), and a sizing optimization model for considering the demand response of household appliances in an island microgrid is proposed. The particle swarm optimization(PSO) is used to obtain the optimal sizing of all major devices. In addition, the battery storage(BS) scheme is used as the control group. The results of case studies demonstrate that the proposed method is effective, and the DR of deferrable appliances and the application of MPS can significantly reduce island microgrid *** analysis on the total load of the island and the water head of the MPS are conducted.

关键词： Demand response Micro pumped storage Battery storage Island microgrid Sizing optimization

Stability *** in Selfish Ring Routing

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Acta Mathematica Sinica,English Series 2014年第5期30卷 767-784页

作者： Bo CHEN Xujin CHEN Jie hu Warwick Business School University of Warwick Institute of Applied Mathematics AMSS Chinese Academy of Sciences School of Mathematics and Statistics Wuhan University

We study asymmetric atomic selfish routing in ring networks, which has diverse practical applications in network design and analysis. We are concerned with minimizing the maximum latency of source-destination node-pairs over links with linear latencies. We show that there exists an optimal solution that is a 9-approximate Nash equilibrium, significantly improving the existing upper bound of 54 on the instability factor. We present fast implementation of the best response dynamics for computing a Nash equilibrium. Furthermore, we perform empirical study on the price of stability, narrowing the gap between the lower and upper bounds to 0.7436.

关键词： Selfish routing price of stability minimum maximum linear latency

Ion Transport Signal Pathways Mediated by Neurotransmitter(Biogenic Amines) of Litopenaeus vannamei Under Low Salinity Challenge

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Journal of Ocean University of China 2019年第1期18卷 210-218页

作者： PAN Luqing SI Lingjun hu Dongxu The Key Laboratory of Mariculture of Ministry of Education Ocean University of China

The Pacific white shrimp, Litopenaeus vannamei, is widely farmed in China. Salinity is a major environmental factor that affects its growth and distribution. Crustacean hyperglycemic hormone is verified to participate in ion transport in response to the salinity challenge mediated by endocrine neurotransmitters(biogenic amines, BAs). In the present study, the contents of BAs and expressions of their receptors were detected in gills of Litopenaeus vannamei exposed to low salinity. The intracellular signaling molecules such as cyclic adenosine monophosphate(cAMP), protein kinase A(PKA), 14-3-3 protein, FXYD2 protein and cAMP response element-binding protein(CREB) were detected. The effects of low salinity on the expressions of Na^+-K^+-ATPase, Na^+/K^+/2 Cl-co-transporter and Cl-transporter and activity of Na^+-K^+-ATPase were also analyzed. The results showed that dopamine and epinephrine concentrations and their receptor expressions were significantly affected by low salinity. The changes of c AMP and PKA were obvious and the expressions of 14-3-3 and FXYD2 peaked at early stages. However, the expression of CREB was only significantly up-regulated on day 9. The activity and expression of Na^+-K^+-ATPase(α subunit) reached a peak on day 1. The expressions of Na^+/K^+/2 Cl-co-transporter and Cl-transporter up-regulated obviously. It suggests that BAs can activate the cAMP-PKA pathway, which further acts on the 14-3-3 and FXYD2 proteins, and ultimately improve the activity of Na^+-K^+-ATPase. Furthermore, after BAs stimulate the cAMP-PKA pathway, PKA phosphorylates the transcription factor CREB and regulates the expressions of ion transport enzymes/transporters. The results in this study are helpful for understanding the response mechanism of endocrine neurotransmitters on osmoregulation in crustaceans.

关键词： ion regulation Litopenaeus vannamei low salinity neurotransmitter BA receptor

Effect of epidemic diseases on wild animal conservation

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Integrative Zoology 2023年第6期18卷 963-980页

作者： Bin hu Shuyi HAN hongxuan HE National Research Center for Wildlife-Borne Diseases Institute of ZoologyChinese Academy of SciencesBeijingChina College of Life Sciences University of Chinese Academy of SciencesBeijingChina

Under the background of global species extinction,the impact of epidemic diseases on wild animal protection is increasingly ***,we review and synthesize the literature on this topic,and discuss the relationship between diseases and *** usually reduce species diversity by decreasing or extinction of species populations,but also accelerate species evolution and promote species *** the same time,species diversity can regulate disease outbreaks through dilution or amplification *** synergistic effect of human activities and global change is emphasized,which further aggravates the complex relationship between biodiversity and ***,we emphasize the importance of active surveillance of wild animal diseases,which can protect wild animals from potential diseases,maintain population size and genetic variation,and reduce the damage of diseases to the balance of the whole ecosystem and human ***,we suggest that a background survey of wild animal populations and their pathogens should be carried out to assess the impact of potential outbreaks on the population or species *** mechanism of dilution and amplification effect between species diversity and diseases of wild animals should be further studied to provide a theoretical basis and technical support for human intervention measures to change *** importantly,we should closely combine the protection of wild animals with the establishment of an active surveillance,prevention,and control system for wild animal epidemics,in an effort to achieve a win-win situation between wild animal protection and disease control.

关键词： active surveillance amplification effect dilution effect disease spillover wild animal protection

Study on complicated solid modeling and Cartesian grid generation method

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Science China(Technological Sciences) 2014年第3期57卷 630-636页

作者： QIN Qiang hu ChangZhen MA TianBao School of Computer Science and Technology Beijing Institute of Technology School of Software Beijing Institute of Technology State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology

A Cartesian grid generation method is developed in this *** kinds of solid modeling methods,CSG and STL models,are used for complicated solid *** staircase boundary approximation is implemented to handle irregular geometries and the computational domain is discretized using a regular Cartesian *** the edge-based integral slice algorithm,the models are sliced with a set of parallel planes to generate 2D slices *** scan line filling technique is used to achieve grid generation after *** grid generation examples with a CSG model and a STL model are given to test the capability of the grid generation *** grid displaying,a method is proposed to remove the hidden surfaces fasten based on the topology of orthogonal hexahedral *** parallelization of grid displaying is achieved by employing multi-threaded parallel *** test results show that the parallel algorithm has the absolute advantage on speed compared to the serial algorithm.

关键词： solid modeling grid generation Cartesian grid staircase boundary treatment

Detection of short-term urban land use changes by combining SAR time series images and spectral angle mapping

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Frontiers of Earth Science 2019年第3期13卷 495-509页

作者： Zhuokun PAN Yueming hu Guangxing WANG College of Natural Resources and Environment South China Agricultural UniversityGuangzhou 510642China Key Laboratory of Construction Land Transformation Ministry of Land and ResourcesGuangzhou 510642China Guangdong Provincial Key Laboratory of Land Use and Consolidation Guangzhou 510642China Guangdong Provincial Land Information Engineering Research Center Guangzhou 510642China College of Agriculture and Animal husbandry Qinghai UniversityXining 810016China Department of Geography Southern Illinois University at CarbondaleIL 62901USA

Rapid urban sprawl and re-construction of old towns have been leading to great changes of land use in cities of China. To witness short-term urban land use changes, rapid or real time remote sensing images and effective detection methods are required. With the availability of short repeat cycle, relatively high spatial resolution, and weather-independent Synthetic Aperture Radar (SAR) remotely sensed data, detection of short-term urban land use changes becomes possible. This paper adopts newly released Sentinel-1 SAR data for urban change detection in Tianhe District of Guangzhou City in Southern China, where dramatic urban redevelopment practices have been taking place in past years. An integrative method that combines the SAR time series data and a spectral angle mapping (SAM) was developed and applied to detect the short-term land use changes. Linear trend transformations of the SAR time series data were first conducted to reveal patterns of substantial changes. Spectral mixture analysis was then conducted to extract temporal endmembers to reflect the land development patterns based on the SAR backscattering intensities over time. Moreover, SAM was applied to extract the information of significant increase and decrease patterns. The results of validation and method comparison showed a significant capability of both the proposed method and the SAR time series images for detecting the short-term urban land use changes. The method received an overall accuracy of 78%, being more accurate than that using a bi-temporal image change detection method. The results revealed land use conversions due to the removal of old buildings and their replacement by new construction. This implies that SAR time series data reflects the spatiotemporal evolution of urban constructed areas within a short time period and this study provided the potential for detecting changes that requires continuously short-term capability, and could be potential in other landscapes.

关键词： Sentinel-1 SAR time series images urban land use change detection temporal endmember spectral angle mapping

Pedestrian Attributes Recognition in Surveillance Scenarios with Hierarchical Multi-Task CNN Models

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China Communications 2018年第12期15卷 208-219页

作者： Wenhua Fang Jun Chen Ruimin hu National Engineering Research Center for Multimedia Software Computer School of Wuhan UniversityWuhan 430072China hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan UniversityWuhan 430072China Collaborative Innovation Center of Geospatial Technology Wuhan 430079China

Pedestrian attributes recognition is a very important problem in video surveillance and video forensics. Traditional methods assume the pedestrian attributes are independent and design handcraft features for each one. In this paper, we propose a joint hierarchical multi-task learning algorithm to learn the relationships among attributes for better recognizing the pedestrian attributes in still images using convolutional neural networks(CNN). We divide the attributes into local and global ones according to spatial and semantic relations, and then consider learning semantic attributes through a hierarchical multi-task CNN model where each CNN in the first layer will predict each group of such local attributes and CNN in the second layer will predict the global attributes. Our multi-task learning framework allows each CNN model to simultaneously share visual knowledge among different groups of attribute categories. Extensive experiments are conducted on two popular and challenging benchmarks in surveillance scenarios, namely, the PETA and RAP pedestrian attributes datasets. On both benchmarks, our framework achieves superior results over the state-of-theart methods by 88.2% on PETA and 83.25% on RAP, respectively.

关键词： attributes recognition CNN multi-task learning

Investigating the seasonal dynamics of surface water over the Qinghai-Tibet Plateau using Sentinel-1 imagery and a novel gated multiscale ConvNet

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International Journal of Digital Earth 2023年第1期16卷 1372-1394页

作者： Xin Luo Zhongwen hu Lin Liu School of Earth Sciences Yunnan UniversityKunmingPeople’s Republic of China School of Architecture and Urban Planning Shenzhen UniversityShenzhenPeople’s Republic of China Earth System Science Programme Faculty of ScienceThe Chinese University of Hong KongHong Kong

The surface water in the Qinghai–Tibet Plateau(QTP)region has undergone dramatic changes in recent *** capture dynamic surface water information,many satellite imagery-based methods have been ***,these methods are still limited in terms of automation and accuracy and thus prevent surface water dynamic studies in large-scale QTP *** this study,we developed a new fully automatic method for accurate surface water mapping by using Sentinel-1 synthetic aperture radar(SAR)imagery and convolutional networks(ConvNets).Specifically,we built a new multiscale ConvNet structure to improve the model capability in surface water body ***,a gating mechanism is introduced to promote the efficient use of multiscale *** to the accuracy assessment,the proposed gated multiscale ConvNet(GMNet)achieved the highest overall accuracy of 98.07%.We applied our GMNet for monthly surface water mapping on the QTP;accordingly,we found that the QTP region experienced significant surface waterfluctuations over one *** surface water also showed distinct spatial heterogeneity on the QTP;that is,the surface water fraction of the Inner Tibetan Basin was significantly higher than that of the Mekong Basin in both the wet and dry seasons.

关键词： Qinghai–Tibet Plateau surface water mapping deep learning convolutional neural network SAR image