A5102811684- Soil Carbon and Nitrogen Dynamics
- 3D Shape Modeling and Analysis
- Biocrusts and Microbial Ecology
- 3D Surveying and Cultural Heritage
- Cryptography and Data Security
- Lichen and fungal ecology
- Speech and dialogue systems
- Smart Grid Security and Resilience
- Smart Grid and Power Systems
- Advancements in Battery Materials
- Advanced Sensor and Energy Harvesting Materials
- Slime Mold and Myxomycetes Research
- Natural Language Processing Techniques
- Blockchain Technology Applications and Security
- Advanced Neural Network Applications
- Plant Water Relations and Carbon Dynamics
- Soil Geostatistics and Mapping
- Advanced Battery Materials and Technologies
- Microbial Community Ecology and Physiology
- IoT and Edge/Fog Computing
- Robotic Mechanisms and Dynamics
- Anomaly Detection Techniques and Applications
- Hydrogels: synthesis, properties, applications
- Advanced Materials and Mechanics
- Human Pose and Action Recognition
Northwest Institute of Eco-Environment and Resources
2018-2024
Chinese Academy of Sciences
2018-2024
Henan University
2024
Nanjing Tech University
2024
China University of Petroleum, Beijing
2020-2023
Beijing Academy of Artificial Intelligence
2023
Yale University
2022
University of British Columbia
2021
University of Science and Technology Beijing
2020-2021
Georgia Institute of Technology
2019-2021
Smart grid can greatly improve the efficiency, reliability, and sustainability of traditional grids. In industrial smart grid, real-time user-side metering data may be frequently collected for monitoring controlling electricity consumption. However, procedure collection lead to sensitive information leakage. To address security issues in this article, we construct an efficient identity-based aggregation scheme supporting batch verification by collector service provider, respectively, which...
Factual inconsistencies in generated summaries severely limit the practical applications of abstractive dialogue summarization. Although significant progress has been achieved by using pre-trained models, substantial amounts hallucinated content are found during human evaluation. Pre-trained models most commonly fine-tuned with cross-entropy loss for text summarization, which may not be an optimal strategy. In this work, we provide a typology factual errors annotation data to highlight types...
Recently, IMUTube introduced a paradigm change for bootstrapping human activity recognition (HAR) systems wearables. The key idea is to utilize videos of activities support training recognizers based on inertial measurement units (IMUs). This system retrieves video from public repositories and subsequently generates virtual IMU data this. ultimate vision such make large amounts weakly labeled accessible model in HAR and, as such, overcome one the most pressing issues field: lack significant...
Abstract Dryland area accounts for approximately 40% of worldwide land area, which plays a significant role in regulating the carbon sequestration capacity land. Vegetation restoration drylands adopted to prevent degradation, and may also serve as sink earlier stage. However, persistence revegetated ecosystem is still unknown. Can well‐established vegetation dryland areas long‐run? To address this question, we investigated planted with 13 years observation (2009–2021) established...
This paper considers the problem of Collision Free Force Closure Workspace (CFFCW) determination for Reconfigurable Planar Cable-Driven Parallel Robots (RPCDPRs). The cluttered obstacles in environment and radiate cable structure make this highly nontrivial. Firstly, simplified model general RPCDPR that with is proposed. Then, critical support lines together topological constraint RPCDPRs are adopted to find Collision-Free Area (CFA) from multi-obstacle environment. And inspired by grasps...
In this paper, the loss analysis and reduction strategy of gallium nitride (GaN) devices in high frequency buck converter are studied. To solve problem, paper adopts methods establishing model GaN device, putting forward guiding principle reducing theoretically verifying experiment.The main achievements include: Firstly, through analyzing mechanism devices, it is found that factors affecting include switching frequency, current waveform, temperature, etc. Secondly, device established, which...
To meet the requirements in terms of large workspace, low inertia, and high degree accuracy, a novel palletizing robot is introduced this article. Utilizing spatial hybrid cable-actuated serial–parallel structure parallelogram mechanism, able to achieve favorable potentials for stiffness, modularity, reconfigurability. The kinematics statics are investigated, an algorithm subsequently proposed calculate workspace limited freedom manipulator. Then under different loads calculated, topological...
Edge devices and robots have access to an abundance of raw data that needs be processed on the edge. Deep neural networks (DNNs) can help these understand learn from this complex data; however, executing DNNs while achieving high performance is a challenge for edge devices. This because computational demands DNN execution in real-time. paper describes implements method enable execute collaboratively. possible useful many environments, several on-edge are already integrated their...
Rhizosphere microorganisms play a pivotal role in biogeochemical cycles, particularly relation to carbon (C) and nitrogen (N) cycles. However, the impact of stand age on composition rhizosphere microbial communities abundance involved C N cycling remains largely unexplored restoration ecosystems dominated by shrubs temperate deserts. This study focuses revealing changes functional genes soil Caragana korshinskii after revegetation, as well their response mechanisms environmental factors. The...