A5036039215- Visual Attention and Saliency Detection
- Advanced Battery Technologies Research
- Image and Video Quality Assessment
- Olfactory and Sensory Function Studies
- Electric Vehicles and Infrastructure
- Gait Recognition and Analysis
- Video Surveillance and Tracking Methods
- Microgrid Control and Optimization
- Robotic Path Planning Algorithms
- Human Pose and Action Recognition
- Advancements in Battery Materials
- Traffic and Road Safety
- Robotics and Sensor-Based Localization
- Safety Warnings and Signage
- Adsorption and Cooling Systems
- Mineral Processing and Grinding
- Human-Automation Interaction and Safety
- Automated Road and Building Extraction
- Consumer Behavior in Brand Consumption and Identification
- Power Systems and Renewable Energy
- Carbon Dioxide Capture Technologies
- Energy Load and Power Forecasting
- Coal Properties and Utilization
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Digital Media and Visual Art
China University of Mining and Technology
2021-2024
China Electronics Technology Group Corporation
2021
Nanjing University of Science and Technology
2019
The lithium-ion batteries retired from electric vehicles (EVs) and hybrid EVs have been exponentially utilized in battery energy storage systems (BESSs) for 2nd use due to their economic environmentally friendly benefits. Therefore, research on aging mechanism state of health (SOH) has attracted increasing amounts attention across the world. However, few studies focus optimizing operation BESSs that are built by with various SOHs. This paper proposes an optimization method comprised...
Power lithium-ion batteries have been widely utilized in energy storage system and electric vehicles, because these are characterized by high density power density, long cycle life, low self-discharge rate. However, battery charging always takes a time, the current rate inevitably causes great temperature rises, which is bottleneck for practical applications. This paper presents multiobjective optimization strategy multistage charging. The Pareto front obtained using particle swarm (MOPSO)...
The main focus of unsupervised person re-identification is the clustering unlabeled samples in target domain. However, most existing studies neglected to mine deep semantic information domain and did not consider a better combination source In this letter, we only changes within its own but also images by designing measurement axis component. Then, mined used as judgment basis hard negative samples. Moreover, new loss function designed work improve migration ability network. Experimental...
The power scheduling of Battery Energy Storage System(BESS) directly affects its cost, and a reasonable allocation scheme is the basis for ensuring economic operation system. In this paper, goal optimization to minimize cost per unit period, in order realize BESS. BESS established, Particle Swarm Optimization (PSO) used achieve global optimization. proposed method could complete task while minimizing cost. results case simulation showed that comparing with traditional equal-proportion...
Abstract Due to rapid advancements in global navigation satellite system (GNSS), computer, and microelectronics technologies, there is a growing popularity widespread promotion of high-performance, cost-effective intelligent UAVs across various applications. Recently, GNSS spoofing attacks have emerged as significant obstacle hindering the long-term development UAVs. rely heavily on unprotected signals for navigation, making them highly vulnerable spoofing. This paper presents an algorithm...
The traffic environment of mountainous highways is more complex than that nonmountainous highways, with higher driving loads, which increases the risk in overtaking. changes driver’s pupils, eye gaze behavior, and heart rate can be used to evaluate level tension safety. To analyze load while overtaking on two‐lane areas, an actual vehicle test was conducted. Twenty‐one drivers were divided into a skilled group unskilled group. time, transfer characteristics, changes, pupil area during three...
Lithium-ion batteries have been widely used in the fields of energy storage and electric vehicles, due to excellent power density density. However, battery ages inevitably during charging discharging. This paper proposes a capacity loss model estimate cyclic aging. A series cycle aging tests under different current rates, as well characteristic are taken investigate parameters variation validate model. Also, ICA (Incremental analysis) is conducted discuss mechanism. The experimental results...
Video-based person re-identification aims to match pedestrians from video sequences across non-overlapping cameras. A major challenge of the is serious intra-class distance caused by cropped frames variation in sequences. To address this issue, a novel consistency feature learning (SCFL) framework for video-based proposed. Specifically, SCFL utilizes deep neural network and proposed loss learn sequences-invariant features each pedestrian, which decreases partial occlusions, inaccurate...
To solve the problem of AUV path planning in complex marine environment, this paper proposes a real-time algorithm that can be used under influence multiple environment elements based on level set algorithm, combined with idea artificial potential field and adaptive rolling window: firstly, Artificial is introduced to vectorize various ocean such as water depth construct function related closely; secondly, dynamic by limiting evolve zero curve window internally realize planning. Based real...
At present, visual saliency prediction algorithms have been developed more and mature, but most of the current are aimed at natural images. Due to inconsistency elements features between images advertising images, existing show poor robustness low inference speed which severely limits its commercial application in design evaluation. In view this, a algorithm for advertisement is proposed this paper. feature extraction stage, two text candidate regions based on intensity improved MESR first...
College students; Chinese and American brands; Implicit association test