A5044388347- Multilevel Inverters and Converters
- Advanced DC-DC Converters
- Video Surveillance and Tracking Methods
- Silicon Carbide Semiconductor Technologies
- Microgrid Control and Optimization
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Radiomics and Machine Learning in Medical Imaging
- Anomaly Detection Techniques and Applications
- Advanced MRI Techniques and Applications
- Glioma Diagnosis and Treatment
- MRI in cancer diagnosis
- HVDC Systems and Fault Protection
- Robotics and Sensor-Based Localization
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Electromagnetic Compatibility and Noise Suppression
- Medical Imaging Techniques and Applications
- Soft Robotics and Applications
- Face and Expression Recognition
- Islanding Detection in Power Systems
- Video Analysis and Summarization
- Robotic Path Planning Algorithms
- Image Enhancement Techniques
- Visual Attention and Saliency Detection
Harvard University
2016-2025
Dana-Farber Cancer Institute
2016-2025
Shaoxing University
2025
Nanjing Tech University
2022-2024
Wuhu Hit Robot Technology Research Institute
2024
Union Hospital
2024
Huazhong University of Science and Technology
2013-2024
Chongqing Technology and Business University
2024
Lanzhou Jiaotong University
2006-2023
University of Jinan
2023
In recent years, several methods have been developed to utilize hierarchical features learned from a deep convolutional neural network (CNN) for visual tracking. However, as certain CNN layer characterize an object of interest only one aspect or level, the performance such trackers trained with (usually second last layer) can be further improved. this paper, we propose novel based tracking framework, which takes full advantage different layers and uses adaptive Hedge method hedge into single...
Intentional islanding describes the condition in which a microgrid or portion of power grid, consists load and distributed generation (DG) system, is isolated from remainder utility system. In this situation, it important for to continue provide adequate load. Under normal operation, each DG inverter system usually works constant current control mode order preset main grid. When cut off must detect situation switch voltage mode. mode, will local This paper strategy that used implement...
This paper analyzes the stability problem of grid-connected voltage-source inverter (VSI) with <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LC</i> filters, which demonstrates that possible grid-impedance variations have a significant influence on system when conventional proportional-integrator (PI) controller is used for grid current control. As inductive impedance increases, low-frequency gain and bandwidth PI to be decreased keep stable,...
Abstract Inhibition of immune checkpoints, including cytotoxic T-lymphocyte antigen-4 (CTLA-4), programmed death-1 (PD-1), and its ligand PD-L1, has demonstrated exciting durable remissions across a spectrum malignancies. Combinatorial regimens blocking complementary checkpoints further enhance the therapeutic benefit. The activity these agents for patients with glioblastoma, generally lethal primary brain tumor associated significant systemic microenvironmental immunosuppression, is not...
The quasi-Z-source inverter (qZSI) with battery operation can balance the stochastic fluctuations of photovoltaic (PV) power injected to grid/load, but its existing topology has a limitation due wide range discontinuous conduction mode during discharge. This paper proposes new energy-stored qZSI overcome this disadvantage. operating characteristic proposed solution is analyzed in detail and compared that topology. Two strategies are related design principles control when applied PV system....
We report a pilot study of performing classification motor imagery for brain–computer interface applications, by means source analysis scalp-recorded EEGs. Independent component (ICA) was used as spatio-temporal filter extracting signal components relevant to left or right (MI) tasks. Source methods including equivalent dipole and cortical current density imaging were applied reconstruct neural sources corresponding MI, performed based on the inverse solutions. The considered correct if...
This paper extends the Z-source concept to matrix converters and explores a family of converters. Their principles characteristics are analyzed, simplified voltage-fed converter is used as an example demonstrate its operation, voltage gain versus modulation index, PWM method, boost control, implementation control. Both simulation experimental results verify operation proposed converter, analytical results, control method. The can achieve buck with reduced number switches needed, therefore...
Abstract In MRI of the human brain, subject motion is a major cause magnetic resonance image quality degradation. To compensate for effects head during data acquisition, an in‐bore optical tracking system proposed. The comprises two MR‐compatible infrared cameras that are fixed on holder right above and in front coil. resulting close proximity to object allows precise its movement. During scanner uses this information prospectively by adjusting gradient field direction radio frequency (RF)...
Convolutional Neural Networks (CNNs) have been applied to visual tracking with demonstrated success in recent years. Most CNN-based trackers utilize hierarchical features extracted from a certain layer represent the target. However, are not always effective for distinguishing target object backgrounds especially presence of complicated interfering factors (e.g., heavy occlusion, background clutter, illumination variation, and shape deformation). In this work, we propose algorithm which...
<h3>BACKGROUND AND PURPOSE:</h3> Patient survival in high-grade glioma remains poor, despite the recent developments cancer treatment. As new chemo-, targeted molecular, and immune therapies emerge show promising results clinical trials, image-based methods for early prediction of treatment response are needed. Deep learning models that incorporate radiomics features promise to extract information from brain MR imaging correlates with prognosis. We report initial production a combined deep...
Background Approximately one‐fourth of all cancer metastases are found in the brain. MRI is primary technique for detection brain metastasis, planning radiotherapy, and monitoring treatment response. Progress tumor now requires new or growing at small subcentimeter size, when these therapies most effective. Purpose To develop a deep‐learning‐based approach finding metastasis on MRI. Study Type Retrospective. Sequence Axial postcontrast 3D T 1 ‐weighted imaging. Field Strength 1.5T 3T....
In this article, a high-efficiency high-power-density wide-bandgap-based CLLC resonant converter with low-stray-capacitance and well-heat-dissipated planar transformer is presented, which used as the isolated dc-dc stage for an electric vehicle on-board charger. A generalized design methodology proposed validated by practical designs experimental tests. novel simple configuration to reduce winding stray capacitance enhance thermal dissipation. The compared different designs, tradeoffs of...
Quantum chemical calculations of anions AeF- (Ae = Be-Ba) and isoelectronic group-13 molecules EF (E B-Tl) have been carried out using ab initio methods at the CCSD(T)/def2-TZVPP level density functional theory employing BP86 various basis sets. The equilibrium distances, bond dissociation energies vibrational frequencies are reported. alkali earth fluoride exhibit strong bonds between closed-shell species Ae F- with 68.8 kcal mol-1 for MgF- 87.5 BeF- they show an unusual increasing trend <...
Quantum chemical calculations of the anions AeF
Abstract Background Radiomic analysis of quantitative features extracted from segmented medical images can be used for predictive modeling prognosis in brain tumor patients. Manual segmentation the components is time-consuming and poses significant reproducibility issues. We compare prediction overall survival (OS) recurrent high-grade glioma(HGG) patients undergoing immunotherapy, using deep learning (DL) classification networks along with radiomic signatures derived manual convolutional...
Electroencephalogram (EEG) recordings during motor imagery tasks are often used as input signals for brain-computer interfaces (BCIs). The translation of these EEG to control a device is based on good classification various kinds imagination. We have developed wavelet-based time-frequency analysis approach classifying tasks. Time-frequency distributions (TFDs) were constructed wavelet decomposition and event-related (de)synchronization patterns extracted from symmetric electrode pairs....
The conventional current-source inverter has two major problems: unidirectional power flow and voltage boost operation, which make it impossible to be used in many applications, such as hybrid electric vehicles general-purpose variable-speed motor drives. Z-source inverters (ZSIs) can solve both problems. Quasi-ZSIs (qZSIs) were recently proposed an important improvement traditional ZSIs. Besides the advantages inherited from ZSIs, qZSIs also have several of their own merits. This paper...
To prospectively compare the reproducibility of normal liver apparent diffusion coefficient (ADC) measurements by using different respiratory motion compensation techniques with multiple breath-hold (MBH), free-breathing (FB), respiratory-triggered (RT), and navigator-triggered (NT) diffusion-weighted (DW) imaging to ADCs at anatomic locations.The study protocol was approved institutional review board, written informed consent obtained from each participant. Thirty-nine volunteers underwent...
The recently proposed current-fed quasi- Z-source inverter (QZSI) can buck and boost voltage provide bidirectional power flow . A crucial criterion for the size of three-phase PWM converters is cooling semiconductors thus determination dissipation at certain operating points. In modified space vector method (SVPWM) control this circuit, different sequences lead to switching loss, current ripple, total harmonic distortion, also spike on devices. order select best sequence obtain performance...