A5035271386- Language, Metaphor, and Cognition
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Translation Studies and Practices
- Domain Adaptation and Few-Shot Learning
- Video Surveillance and Tracking Methods
- Advanced Computational Techniques and Applications
- Advanced Vision and Imaging
- Hand Gesture Recognition Systems
- Sensorless Control of Electric Motors
- Advanced Drug Delivery Systems
- VLSI and Analog Circuit Testing
- Embedded Systems and FPGA Design
- Multimodal Machine Learning Applications
- Advanced Measurement and Detection Methods
- Electric Motor Design and Analysis
- Regional Economic and Spatial Analysis
- Comics and Graphic Narratives
- Natural Language Processing Techniques
- 3D Shape Modeling and Analysis
- Medical Image Segmentation Techniques
- Second Language Acquisition and Learning
- Narrative Theory and Analysis
- Drug Solubulity and Delivery Systems
- Literature, Language, and Rhetoric Studies
Qingdao University of Science and Technology
2023-2024
Jilin University
2011-2023
Jilin Province Science and Technology Department
2021-2023
Southeast University
2002-2021
Nanjing University of Aeronautics and Astronautics
2020
Beijing University of Technology
2020
Fujian Fisheries Research Institute
2020
Cornell University
2019
Yunnan University
2019
University of Connecticut
2019
Success of modern agriculture relies heavily on breeding crops with maximal regional adaptability and yield potentials. A major limiting factor for crop cultivation is their flowering time, which strongly regulated by day length (photoperiod) temperature. Here we report identification characterization Days to heading 7 (DTH7), a genetic locus underlying photoperiod sensitivity grain in rice. Map-based cloning reveals that DTH7 encodes pseudo-response regulator protein its expression...
This paper proposes a space-vector modulation (SVM)-based direct-torque control (DTC) scheme for permanent-magnet synchronous generator (PMSG) used in variable-speed direct-drive wind power generation system. A quasi-sliding-mode observer that uses relatively low sampling frequency, e.g., 5 or 10 kHz, is proposed to estimate the rotor position and stator flux linkage based on current model of PMSG over wide operating range. The optimal torque command directly obtained from estimated speed...
We propose to estimate 3D human pose from multi-view images and a few IMUs attached at person's limbs. It operates by firstly detecting 2D poses the two signals, then lifting them space. present geometric approach reinforce visual features of each pair joints based on IMUs. This notably improves estimation accuracy especially when one joint is occluded. call this Orientation Regularized Network (ORN). Then we lift space an Pictorial Structure Model (ORPSM) which jointly minimizes projection...
This paper proposes three route control strategies for autonomous vehicles (AVs) exiting to off-ramps. First, two microscopic lane-changing models are developed simulate the off-ramp behaviors AVs. A risk factor λ is introduced in discretionary (DLC) model, and a five-step process mandatory (MLC) model. Second, presented, i.e., grading strategy (GS), half-overlap (HOS), full-overlap (FOS). Finally, extensive numerical simulations conducted analyze characteristics of each based on MATLAB...
Business models that focus on providing access to assets rather than transferring ownership of goods have become an important industry trend, representing a challenge for incumbent firms. This paper analyzes the interaction peer-to-peer (P2P) rental market and original equipment manufacturer (OEM). The analysis highlights role consumer heterogeneity in usage rates determining which business model would be preferred by OEM. introduction P2P creates equalizing effect, leads purchases from...
In this paper, a new sensorless scalar control capable of enhancing torque capability for induction motor drives at low speeds is proposed. The proposed addressed the problem that conventional volt-per-hertz (V/f)control suffers from: significantly impaired due to stator flux weakening. A simple, encoder-free, but robust voltage compensation scheme strengthening therefore developed based on dynamic model an machine. Both simulation and experimental results are provided demonstrate...
This paper proposes a novel scheme combining support vector machines (SVM) and residual-based method for wind turbine fault detection isolation (FDI). SVMs with radius basis function kernels are used detecting identifying sensor stuck offset faults, where binary codes of types as the outputs to minimize number being used. The same output SVM may correspond different faults final decision is made by all instead one SVM. Moreover, using time-variant threshold developed identify abrupt change...
Abstract Maize exhibits a wide range of heterotic traits, but the molecular basis heterosis at reproductive stage has seldom been exploited. Leaf senescence is degenerative process which affects crop yield and quality. In this study, we observed significantly delayed ear leaf in reciprocal hybrids B73/Mo17 Zheng58/Chang7-2 after silking all displayed larger areas higher stems with yields. Our time-course transcriptome analysis identified 2,826 differentially expressed genes (DEGs) between...
Generally, most approaches using methods such as cropping, rotating, and flipping achieve more data to train models for improving the accuracy of detection segmentation. However, due difficulties labeling especially semantic segmentation data, those traditional augmentation methodologies cannot help a lot when training set is really limited. In this paper, model named OFA-Net (One For All Network) proposed combine object tasks. Meanwhile, strategy called “1-N Alternation” model, which can...
Weakly supervised semantic segmentation using only image-level labels is critical since it alleviates the need for expensive pixel-level labels. Most cuttingedge methods adopt two-step solutions that learn to produce pseudo-ground-truth and then train off-the-shelf fully network with these pseudo Although have made significant progress, they also increase complexity of model training. In this paper, we propose a one-step approach weakly image segmentation-attention guided enhancement (AGEN),...
This paper proposes a space-vector modulation (SVM)-based direct-torque control (DTC) scheme for permanent magnet synchronous generator (PMSG) used in variable-speed direct-drive wind power generation system. A quasi-sliding-mode observer (QSMO) that uses finite sampling frequency is proposed to estimate the rotor position and stator flux linkage based on current model of PMSG. The optimal torque command directly obtained DTC by which maximum point tracking (MPPT) turbine achieved without...
An aquatic hyphomycete, Seychellomyces sinensis , isolated from China, is proposed as a new species. Phylogenetic analysis of combined ITS, LSU, 60S, and MCM7 sequences place in Ceratocystidaceae . The species, characterized by septate conidia elliptical to cylindrical (sub)hyaline endoconidia, distinguished S. hexagonus its larger, 1–3-septate conidia.
We propose to estimate 3D human pose from multi-view images and a few IMUs attached at person's limbs. It operates by firstly detecting 2D poses the two signals, then lifting them space. present geometric approach reinforce visual features of each pair joints based on IMUs. This notably improves estimation accuracy especially when one joint is occluded. call this Orientation Regularized Network (ORN). Then we lift space an Pictorial Structure Model (ORPSM) which jointly minimizes projection...
First, this paper proposes a static north-seeking mode based on the meridian seeking torque of gyroscope. We analyze force situation and stability gyro magnetic suspension system in focus principle balance feedback control technology. Two-position rotary technology has been designed sensitive state rotor four special positions to reduce impact systematic errors single position north-seeking. Later, we use data simulate real-time process. Meanwhile, filter processing is used improve quality...
Computational cost‐ineffectiveness and ambiguity due to self‐occlusion are bottlenecks of vision‐based hand gesture recognition. In this study, the authors address these issues by proposing a novel multi‐view recognition method based on Pareto optimal front. They first present an oriented gradient local binary pattern operator generate groupwise feature data set for images. Then they take over images as multi‐query image retrieval problem front is constructed dissimilarities between testing...
Multiple-camera systems can expand coverage and mitigate occlusion problems. However, temporal synchronization remains a problem for budget cameras capture devices. We propose an out-of-the-box framework to temporally synchronize multiple using semantic human pose estimation from the videos. Human predictions are obtained with out-of-the-shelf estimator each camera. Our method firstly calibrates pair of by minimizing energy function related epipolar distances. also simple yet effective...
This paper studies semantic segmentation primarily under image-level weak-supervision. Most state-of-the-art technologies have recently used deep classification networks to create small and sparse discriminatory seed regions of each interest target as pseudo-labels for training networks, which achieve inferior performance compared with the fully supervised setting. We propose a Dilated convolutional pixels affinity network (DCPAN) localize expand objects bridge this gap. Although introduced...
Hydroxyapatite (HA) coated polymer microspheres was prepared by a two-step process under physiological temperature and pH value. A full coverage of plate-like structured HA coating achieved on poly(lactic-co-glycolic acid) (PLGA) microspheres. Field emission scanning electron microscopy employed to observe the surface morphology before after coating. Fourier Transform Infrared spectra X-ray diffraction were used for chemical groups crystal structure examination. The PLGA have potential...