A5101872824- Energy Load and Power Forecasting
- Financial Risk and Volatility Modeling
- Building Energy and Comfort Optimization
- Financial Markets and Investment Strategies
- Advanced Battery Technologies Research
- Advanced Sensor and Energy Harvesting Materials
- Energy Efficiency and Management
- Advanced Nanomaterials in Catalysis
- Fault Detection and Control Systems
- Electrochemical sensors and biosensors
- Market Dynamics and Volatility
- Building materials and conservation
- Privacy-Preserving Technologies in Data
- Simulation Techniques and Applications
- Electric Power System Optimization
- Machine Fault Diagnosis Techniques
- Advanced Algorithms and Applications
- Digital Transformation in Industry
- Adaptive Control of Nonlinear Systems
- UAV Applications and Optimization
- Stock Market Forecasting Methods
- Collaboration in agile enterprises
- Power System Optimization and Stability
- Evolution and Genetic Dynamics
- Refrigeration and Air Conditioning Technologies
Shenzhen Technology University
2024
Rochester Institute of Technology
2024
Central South University of Forestry and Technology
2021-2024
Central South University
2021-2024
Xi'an University of Architecture and Technology
2021-2023
Shanghai International Studies University
2023
Northeast Agricultural University
2023
Shanghai Jiao Tong University
2021
Northern Illinois University
2021
Tianjin Nankai Hospital
2021
Innovative multifunctional nanomaterials have attracted tremendous interest in current research by facilitating simultaneous cancer imaging and therapy. Among them, antimony (Sb)- bismuth (Bi)-based nanoparticles are important species with multifunction to boost theranostic efficacy. Despite the rapid development, extensive previous work treated Sb- Bi-based as mutually independent species, therefore a thorough understanding of their relationship theranostics was lacking. We propose here...
Abstract Traditional noble metal‐based catalysts for glucose sensing usually suffer from easy deactivation by halides and weak properties. To unravel these limits, herein, a novel nature‐inspired design concept (mimicking “rock–soil–grass” geotexture system) is purposed to build free‐standing hierarchical micro‐nano architecture. Thanks the (rigid conductive Ni foam) (“rock”, underlayer, rough highly disordered graphene nanosheets (GNSs) (“soil”, middle‐layer), strong catalytic activity of...
Considering the weakness of present prediction model on traditional shopping mall building energy consumption caused by limitations type and quantity input variables, study proposes a based Chaos theory. This method firstly calculates Lyapunov index to prove that has chaotic characteristics. Secondly, it uses theory reconstruct phase space data obtain with characteristics as basis for establishment model. Then is used train back-propagation (BP) neural network, finally confidence interval...
Contact electrification (CE) is a common physical process by which triboelectric charges are generated through the mutual contact between two objects. Despite ongoing debates on CE's mechanism, recent advancements in technology have elucidated primary role of electron transfer most CE processes. This discovery leads to spawning an emerging field, known as contact-electro-catalysis (CEC), utilizes phenomenon during initiate CEC. In this work, we provide first comprehensive review progress...
With the ubiquitous use of location-based services, large-scale individual-level location data has been widely collected through location-awareness devices. Geoprivacy concerns arise on issues user identity de-anonymization and exposure. In this work, we investigate effectiveness geomasking techniques for protecting geoprivacy active Twitter users who frequently share geotagged tweets in their home work locations. By analyzing over 38,000 93 three U.S. cities, two-dimensional Gaussian...
Indoor UV damage is a serious problem that often ignored. Common glasses cannot filter rays well and have fragility environmental issues. UV-shielding transparent wood (TW) holds promise, yet striking the right balance between blocking allowing sufficient visible-light transmission poses challenge. The pronounced capillary force, fueled by persistent moisture extractives in wood, alongside existence of multiphase interfaces, collectively hinder uniform penetration polymers effective...
Aiming at the problems of extensive management and energy waste in operation shopping malls, this paper proposed a mall building energy-saving diagnosis model based on an improved PSO-SVM neural network. Firstly, data with good characteristics were selected from collected historical consumption by clustering algorithm as basis for establishment model. Secondly, Adaboost was used to optimize network complete construction, training Finally, judgment criteria abnormal established, situation...
A state of health (SOH) estimation method that can be achieved online and only requires battery management system (BMS) detection data is proposed in this article. In the State Health mathematical model article, using time power treated as an independent variable SOH a hidden variable. And just used process from BMS. So it would make more suitable for actual engineering. Then, article proposes interleaved parameter update framework to reduce computational complexity algorithm single sampling...
An adaptive second-order sliding mode controller is proposed for a class of nonlinear systems with unknown input. The continuously drives the variable and its time derivative to zero in presence disturbances boundaries. A Lyapunov approach used show finite stability system uncertainty. illustrative simulation example presented demonstrate performance robustness controller.
In unmanned aerial vehicle (UAV) networks, high-capacity data transmission is of utmost importance for applications such as intelligent transportation, smart cities, and forest monitoring, which rely on the mobility UAVs to collect transmit large amount data, including video image data. Due short flight time UAVs, network capacity will be reduced when they return ground unit (GU) charging. Hence, we suggest that can apply a store-carry-and-forward (SCF) mode carry packets their way back GU...
This paper proposes a two-state Markov-switching model for stock market returns in which the state-dependent expected returns, their variance and associated regime-switching dynamics are allowed to respond information. More specifically, we apply this examine explanatory predictive power of price range trading volume return volatility. Our findings indicate that negative relation between equity volatility prevails even after having controlled time-varying determinants conditional within each...
Using weekly stock-bond correlations estimated with highfrequency data, the authors find that a lower (more negative) correlation forecasts falling 10-year interest rates over coming weeks. It also oneyear next year. The reverse is true when higher positive). Therefore investors, in particular those long-term, bond-like liabilities, should take greater duration risk recent are lower. propose two possible explanations of such predictive power: (1) markets and/or policymakers’ underreaction to...
Historical simulation (HS) is a popular value-at-risk (VaR) approach that has the advantage of being intuitive and easy to implement. However, its response most recent news been too slow, two "tails" (upper lower) cannot learn from each other it not robust if there insufficient data. In this paper, we put forward strategies for improving HS in these weak areas with only minor additional computational costs. The first strategy "ghosted" scenario second two-component (short-run long-run)...
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