A5101334601- Smart Grid Energy Management
- Advanced Memory and Neural Computing
- Additive Manufacturing and 3D Printing Technologies
- Electric Vehicles and Infrastructure
- Mineral Processing and Grinding
- Stability and Control of Uncertain Systems
- Microgrid Control and Optimization
- Photoacoustic and Ultrasonic Imaging
- Laser and Thermal Forming Techniques
- Metal Forming Simulation Techniques
- Wireless Power Transfer Systems
- Neural Networks and Reservoir Computing
- Power Line Inspection Robots
- Railway Systems and Energy Efficiency
- Innovative concrete reinforcement materials
- Agriculture, Soil, Plant Science
- Optimal Power Flow Distribution
- Energy Efficiency and Management
- Consumer Market Behavior and Pricing
- Innovations in Concrete and Construction Materials
- Control Systems and Identification
- Supply Chain and Inventory Management
- Dendrimers and Hyperbranched Polymers
- Control and Stability of Dynamical Systems
- Granular flow and fluidized beds
Southeast University
2023-2024
Jiangsu University
2024
Fudan University
2024
Tongji University
2024
Tianjin University of Technology
2024
Southwest Jiaotong University
2024
Nanjing University of Aeronautics and Astronautics
2023
University of Electronic Science and Technology of China
2023
McMaster University
2013
University of California, Irvine
2002
In this letter, we report a fully printed metal-oxide memristor crossbar array based on the Ag/ZnO/Ag structure, and extend its neuromorphic computing application as artificial synapses. The wurtzite-type ZnO is an active layer, which sandwiched between two Ag electrodes, forming unit. exhibits volatile resistive switching behaviors under low compliance current of 1 μA, can emulate short-term synaptic plasticity biological "learning-relearning" processes. More importantly, image learning...
Objective. Computed tomography (CT) and magnetic resonance imaging (MRI) are widely used in medical modalities, provide valuable information for clinical diagnosis treatment. However, due to hardware limitations radiation safety concerns, the acquired images often limited resolution. Super-resolution reconstruction (SR) techniques have been developed enhance resolution of CT MRI slices, which can potentially improve diagnostic accuracy. To capture more useful feature reconstruct higher...
Android applications have emerged as a prime target for hackers. malware detection stands pivotal technology, crucial safeguarding network security and thwarting anomalies. However, traditional static analysis makes it difficult to analyze new malicious applications, while dynamic requires higher system resources. We propose novel lightweight deep-learning framework based on attention temporal networks. This study delves into the Dalvik opcode sequences of malware, employing N-gram algorithm...
A new control synthesis approach is proposed for linear parametrically varying (LPV) systems using parameter-dependent quadratic Lyapunov functions. The problem formulated via a set of matrix inequalities (LMIs). When solved, controllers are obtained that stabilize the LPV and achieve guaranteed performance in an L/sub 2/-gain sense. includes case parameter-independent functions, as result provides additional flexibility design.
Next Point-of-Interest (POI) recommendation seeks to recommend locations that users are most likely visit next based on their historical trajectories, providing both and service providers with substantial benefits. However, POI methods calculate the distances between POIs when mining spatial information adjust weights accordingly, ignoring characteristics multimedia content features of regions in which located. In addition, recommendations suffer from long tail effect, only a small portion...
Engineered cementitious composites (ECC), with superior tensile properties, have the potential to construct self-reinforced structures and address reinforcement integration problem in 3D concrete printing. However, a predictive methodology is lacking establish connection between material properties of ECC structural strength members by taking size effect into account. To fill research gap, this study developed size-dependent model predict flexural printed beams. The proposed relates beam...
As the unique power-discharging channel for high-speed trains, 'train-rail' mobile coupling grounding system plays a vital role in sending traction power back to terrestrial substations, through electrical contact between rotating wheel and steel rail. The whole is composed of two kinds modes: working charge draining into rail track; protective provides reference potential vehicle-mounted equipment. Different from fixed technique normally implemented system, when relative motion occurs train...
In view of the shortcomings traditional transmission line tower bolt loosening detection method, this paper firstly introduces research background and existing problems methods, proposes technology using long-distance laser vibration measurement device for identification, expounds principle detection, basic composition device. order to improve recognition accuracy looseness in tower, MFCC (Mel-scaleFrequency Cepstral Coefficients) feature extraction algorithm was used construct model bolts...
The conventional principal component analysis (PCA) based pattern matching methods have been applied to dynamic process monitoring. However, they do not take into account the non-Gaussian features in industrial processes and are also more focused on fault detection instead of diagnosis. In this paper, an independent mutual information approach is developed for diagnosis complex chemical processes. presented a simulated cryogenic air separation application study demonstrates that method can...
Abstract This paper is devoted to the distributed demand response (DR) charging control of plug‐in electric vehicles (PEVs) for frequency regulation in power systems terms load following service. Specifically, PEVs are divided into different clusters according their parking place under energy management systems. Each EV cluster modelled by a transport‐based aggregate model with input being rate, and output power. Based on model, novel dynamic real‐time pinning algorithm proposed coordinate...
This paper considers state feedback control for linear discrete-time systems to minimize the closed loop l/sup 1/ induced norm. A generalized bounded real inequality (GBRI) is presented as a sufficient condition establish norm bound. Using an algorithm similar invariant kernel and contractive set algorithm, synthesis satisfy GBRI reduced programming problem numerically tractable. If feasible, our gives polyhedral that induces Lyapunov function also provides feasible laws. An example given...
As the world gradually forms a consensus on consumption of green energy, renewable generating units have widely penetrated power system. Uncertainty energy generation makes operation risky. Demand Response can provide flexible regulation capability to alleviate operational pressure. The current retail market is insufficient, neglecting incentive strategies promote consumer flexibility. Electricity retailer incentivize reserves in reserve and obtain additional profit. In market, participants...