A5009996442- Plant Water Relations and Carbon Dynamics
- Soil Moisture and Remote Sensing
- Control Systems and Identification
- Environmental and Agricultural Sciences
- Soil and Unsaturated Flow
- Cryospheric studies and observations
- Arctic and Antarctic ice dynamics
- Hydrology and Watershed Management Studies
- Groundwater flow and contamination studies
- Fluid Dynamics and Turbulent Flows
- Environmental Changes in China
- Fault Detection and Control Systems
- Distributed Sensor Networks and Detection Algorithms
- Target Tracking and Data Fusion in Sensor Networks
- Climate change and permafrost
- Sparse and Compressive Sensing Techniques
- Neural Networks and Applications
- Remote Sensing and Land Use
- Nuclear reactor physics and engineering
- Soft Robotics and Applications
- Nuclear Physics and Applications
- Indoor and Outdoor Localization Technologies
- Structural Health Monitoring Techniques
- Modular Robots and Swarm Intelligence
- Advanced Control Systems Optimization
Shenzhen Academy of Robotics
2019-2025
The Affiliated Yongchuan Hospital of Chongqing Medical University
2023
Chongqing Medical University
2023
Chinese Academy of Sciences
2005-2022
Northwest Institute of Eco-Environment and Resources
2021-2022
Wuhan University
2022
Wenzhou Medical University
2022
Chinese University of Hong Kong, Shenzhen
2021-2022
Shenzhen University
2018-2022
China University of Petroleum, Beijing
2022
A major research plan entitled “Integrated on the ecohydrological process of Heihe River Basin” was launched by National Natural Science Foundation China in 2010. One key aims this is to establish a platform that integrates observation, data management, and model simulation foster twenty-first-century watershed science China. Based diverse needs interdisciplinary studies within plan, program called Watershed Allied Telemetry Experimental Research (HiWATER) implemented. The overall objective...
Core Ideas Heihe was the first basin-scale integrated observatory network established in China. An intensive flux observation matrix experiment conducted. New techniques, e.g., wireless sensor network, matrix, and airborne remote sensing, are used. The is useful land surface processes research. Research on at catchment scale has drawn much attention over past few decades, a number of watershed observatories have been worldwide. River Basin (HRB), which contains second largest inland river...
Abstract Endorheic basins around the world are suffering from water and ecosystem crisis. To pursue sustainable development, quantifying hydrological cycle is fundamentally important. However, knowledge gaps exist in how climate change human activities influence endorheic basins. We used an integrated ecohydrological model, combination with systematic observations, to analyze Heihe River Basin, a typical basin arid region of China. The budget was closed for different landscapes, river...
Bivalve molluscs are descendants of an early-Cambrian lineage superbly adapted to benthic filter feeding. Adaptations in form and behavior well recognized, but the underlying molecular mechanisms largely unknown. Here, we investigate genome, various transcriptomes, proteomes scallop Chlamys farreri, a semi-sessile bivalve with well-developed adductor muscle, sophisticated eyes, remarkable neurotoxin resistance. The scallop's large striated muscle is energy-dynamic not fully differentiated...
Abstract We introduce a multiscale dataset obtained from Heihe Watershed Allied Telemetry Experimental Research (HiWATER) in an oasis-desert area 2012. Upscaling of eco-hydrological processes on heterogeneous surface is grand challenge. Progress this field hindered by the poor availability observations. HiWATER experiment designed to address challenge through instrumentation hierarchically nested scales obtain and multidisciplinary data. The observation system consists flux matrix eddy...
Genetic linkage maps are indispensable tools in genetic and genomic studies. Recent development of genotyping-by-sequencing (GBS) methods holds great promise for constructing high-resolution organisms lacking extensive resources. In the present study, mapping was conducted a bivalve mollusc (Chlamys farreri) using newly developed GBS method—2b-restriction site-associated DNA (2b-RAD). Genome survey sequencing performed to generate preliminary reference genome that utilized facilitate...
The basic nonlinear filtering problem for dynamical systems is considered. Approximating the optimal filter estimate by particle methods has become perhaps most common and useful method in recent years. Many variants of filters have been suggested, there an extensive literature on theoretical aspects quality approximation. Still a clear-cut result that approximate solution, unbounded functions, converges to true as number particles tends infinity seems be lacking. It purpose this...
Abstract The Tibetan Plateau, known as the world’s “Third Pole” due to its high altitude, is experiencing rapid, intense climate change, similar and even far more than that occurring in Arctic Antarctic. Scientific data sharing very important address challenges of better understanding unprecedented changes Third Pole their impacts on global environment humans. National Plateau Data Center (TPDC, http://data.tpdc.ac.cn ) one first 20 national centers endorsed by Ministry Science Technology...
The Heihe River Basin (HRB) is a typical arid inland river basin in northwestern China. From the 1960s to 1990s, downstream flow HRB declined as result of large, artificial changes distribution water and land lack effective resource management. Consequently, ecosystems lower reaches substantially deteriorated. To restore these degraded ecosystems, Ecological Water Diversion Project (EWDP) was initiated by Chinese government 2000. project led agricultural ecological middle basin. In this...
Abstract Watershed system models are urgently needed to understand complex watershed systems and support integrated river basin management. Early modeling efforts focused on the representation of hydrologic processes, while next‐generation should represent coevolution water‐land‐air‐plant‐human nexus in a provide capability decision‐making support. We propose new framework discuss know‐how approach incorporate emerging knowledge into through data exchange interfaces. argue that environment...
ABSTRACT The significance of climbing robotic systems for cable maintenance is escalating in both academic research and real‐world applications. As these are poised deployment, it imperative to develop security rescue mechanisms that ensure robots' intrinsic safety robustness dealing with uncertainty factors. This study presents a novel robot designed platform, manipulator integrated specialized tools, gripper withstand dynamic loads impacts from operations. In addition, we propose the...
The particle filter has become an important tool in solving nonlinear filtering problems for dynamic systems. This correspondence extends our recent work, where we proved that the converges unbounded functions, using <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</i> <sup xmlns:xlink="http://www.w3.org/1999/xlink">4</sup> -convergence. More specifically, present contribution is prove converge functions sense of...
Ejin Oasis, located in the lower reaches of Heihe River Basin (HRB), has experienced severe ecosystem decline between 1960s and 1990s. In response, Chinese Government implemented Ecological Water Diversion Project (EWDP) 2000. To evaluate effects EWDP, this study monitored changes land use vegetation Oasis since 2000 examined driving factors behind such changes. Results demonstrated that generally improved 2011. body area significantly increased. Lake once dried-up Sogo Nuur increased to 45...
Land use and land cover change (LUCC) is an important issue in global environmental sustainable development, yet spatial simulation of LUCC remains challenging due to the system complexity. The cellular automata (CA) model plays a crucial role simulating processes its powerful computing power; however, majority current CA models are binary-state that cannot provide more general information about overall pattern LUCC. Moreover, rarely consider background artificial irrigation arid regions....
This letter presents CCRobot-IV, the fourth version of a climbing robot designed for bridge cable-inspection tasks. CCRobot-IV inherits design features from previous CCRobot series, and has improved capability crossing cables with obstacles such as helical ribs, small metal accessories, various other obstacles. consists quad-ducted propeller-driven precursor an affiliated payload-carrying body. Because propeller does not depend on friction generated by mutual contact extrusion, precursor's...
This paper presents CCRobot-V, the fifth version of CCRobot, a cooperative serial multi-robot system for bridge cable inspection and maintenance that uses silkworm-like locomotion to climb entire length super-long stay at high speeds while carrying heavy inspection/maintenance equipment. CCRobot-V consists one climbing precursor robot, several cable-carrying robots, power-tethered guiding system. The pre-cursor robot is "head," which leads affiliated sub-robots along cable. Every sub-robot...
A key enabler for Cognitive Radio (CR) is spectrum sensing, which physically implemented by sensor and actuator networks typically using the popular energy detection method. The threshold of binary hypothesis generally determined principles constant false alarm rate (CFAR) or (CDR). CDR principle guarantees CR primary users at a designated low level interferences, nonetheless subject to usability secondary in given sensing latency. On other hand, CFAR ensures users’ utilization high level,...
AbstractAbstractBased on the inspiration of uniform fission site (UFS) algorithm, we propose a strategy for biasing secondary neutrons using tally density obtained from past cycles in Monte Carlo criticality calculation when purpose is to seek high-performance global tallying. Using this volume-averaged cell flux and energy deposition tallies performing calculations pin-by-pin model Dayawan nuclear power station reactor yields better performance. All strategies (including original UFS...
This paper presents a Bayesian approach to energy efflcient and data-efflcient target localization using binary sensor networks. The novelty of this work lies in that the methods channel coding (code design, encoding decoding) are used solve problem. First, networks constructed via Low density parity-check (LDPC) matrices. As result, observation space targets is partitioned into many units encoded set codes. Then, when move around, system measurements will be with those codes through OR...