- Remote Sensing in Agriculture
- Financial Markets and Investment Strategies
- Impact of Light on Environment and Health
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Corporate Finance and Governance
- Smart Grid and Power Systems
- Market Dynamics and Volatility
- Remote Sensing and LiDAR Applications
- Iterative Learning Control Systems
- Land Use and Ecosystem Services
- Non-Destructive Testing Techniques
- Piezoelectric Actuators and Control
- Advanced Decision-Making Techniques
- Landslides and related hazards
- Urban Heat Island Mitigation
- Microgrid Control and Optimization
- Discourse Analysis in Language Studies
- Auditing, Earnings Management, Governance
- Language, Metaphor, and Cognition
- Power Systems and Renewable Energy
- Labor market dynamics and wage inequality
- Power Systems and Technologies
- Welding Techniques and Residual Stresses
- Advanced Computational Techniques and Applications
Nanjing University of Information Science and Technology
2021-2025
Ministry of Natural Resources
2023-2024
Ministry of Industry and Information Technology
2023-2024
Wuhan University
2008-2023
Hubei Zhongshan Hospital
2023
Queen's University
2023
Zhejiang Sci-Tech University
2010-2022
Yanshan University
2021
Neusoft (China)
2020
Chengdu Neusoft University
2020
The mapping of urban areas at regional to global scales is a crucial task due its value for environmental monitoring, habitat and biodiversity conservation, decision-making. In most current applications, two techniques (i.e., supervised classification data fusion) are widely applied in large-scale mapping. However, the costly training sample collection, inadequate data-source descriptions, diverse characteristics (e.g., shape, size, socioeconomic status, physical environment) challenging...
Land-cover mapping over urban areas using Landsat imagery has attracted considerable attention in recent years as it can promptly and accurately reflect the biophysical composition status of landscape allow further applications such planning risk management. However, due to large diversity across different landscapes, adequate training sample collection for area is both challenging time-consuming. In this paper, we propose a novel unsupervised method imagery. Specifically, idea select...
Multiangle images are acquired over roughly the same earth surface from different angles, and accurate image registration is a key prerequisite for their application. In this paper, we propose robust method by rank minimization (RRRM) multiangle hyper/multispectral remotely sensed imagery (MA-HSI-MSI). First, low-rank structure of MA-HSI-MSI exploited utilized as constraint, thus recasting problem searching an optimal set transformations, such that matrix transformed can reach its minimum...
In dynamic wireless power transmission (DWPT) system, the design of noncontact transformers plays a significant role in output and its stability, which is closely related to coupling coefficient. This article presents method for DWPT system based on automated guided vehicle (AGV), takes into account W-type structure transformer optimization. Therefore, through adjustment multiple physical parameters (the width primary coil, ferrite size, spacing) goal 1.8 kW with minimal usage during...
Abstract This paper examines data from 45 world markets and shows that the previously documented relation between mean returns idiosyncratic volatility arises because of biases in estimates we can attribute to bid–ask bounce trade prices. We show no significant exists estimated quote-midpoint returns. Further, there is portion transaction-price-based orthogonal spreads. The pricing due negative spread.
China fully lifted restrictions of the COVID-19 pandemic on December 7, 2022. However, influence this policy urban socio-economic activities is unclear. Remotely sensed nighttime light (NTL) data have been widely used in evaluating public policies near real-time, therefore, paper attempts to explore spatio-temporal impact liberalization mainland from perspective NTL data. Taking 25 cities with different development levels as representatives, based daily Black Marble product (VNP46A2), we...
Virtual synchronous generator (VSG) techniques are friendly applied in inverter interfaced renewable energy sources (IIRESs), and that enables to recover the rotor inertia provide damping support. However, VSG generally owns weak overcurrent ability, its transient angle stability (TAS) under faults may be destroyed. For solving issue, This paper puts forward a coordination method of resistive superconducting fault current limiter (SFCL) an additional power controller (APC). The relevant...
For boosting the transient performance of a virtual synchronous generator (VSG) during different faults, this paper presents methodology collaboratively utilizing adaptive inertia control (AIC) and impedance regulation (VIR). The VSG's mathematical model is established, its behaviors are probed. In proposed coordination methodology, function AIC to flexibly change rotor in terms angular frequency variation, impact VIR timely usefully eliminate overcurrent risk. From these two benefits, power...
BACKGROUND The literature has discussed the relationship between environmental factors and depressive disorders; however, results are inconsistent in different studies regions, as interaction effects factors. We hypothesized that meteorological ambient air pollution individually affect interact to disorder morbidity. AIM To investigate of on disorders, including their lagged interactions. METHODS samples were obtained from a class 3 hospital Harbin, China. Daily admission data for disorders...
The Institute for the Study of Labor (IZA) in Bonn is a local
Deferrable loads can actively participate in the power system operation as a schedulable resource. The are modulated by shifting their demand characteristics along time horizon, i.e., orchestrating starting instants. Through flattening peaks and valleys of curve, generating units released from burden frequent output adjustments higher operating efficiency be achieved. An optimal day-ahead dispatch strategy is proposed for deferrable loads. next-day derived using historical data or behavior...
Cyclone Global Navigation Satellite System (CyGNSS) data have been used for generating several intermediate products, such as surface reflectivity (Γ), to facilitate a wide variety of land remote sensing applications. The accuracy Γ relies on precise knowledge the effective instantaneous radiative power (EIRP) transmitted GNSS signals in direction specular reflection point, zenith antenna patterns which turn affects estimates EIRP, good receive etc. However, obtaining accurate these...
This paper examines data from 45 world markets and shows that the previously documented relation between mean returns idiosyncratic volatility arises because of biases in estimates we can attribute to bid-ask bounce trade prices. We show no significant exists estimated quote-midpoint returns. Further, there is portion transaction-price based orthogonal spreads. The pricing due negative spread.