A5100738921- Dark Matter and Cosmic Phenomena
- Metaheuristic Optimization Algorithms Research
- Video Surveillance and Tracking Methods
- Particle physics theoretical and experimental studies
- Cellular Automata and Applications
- Text and Document Classification Technologies
- Astrophysics and Cosmic Phenomena
- Machine Learning and Data Classification
- Advanced Image and Video Retrieval Techniques
- Scheduling and Optimization Algorithms
- UAV Applications and Optimization
- Robotic Path Planning Algorithms
- Smart Parking Systems Research
- Advanced Manufacturing and Logistics Optimization
- Distributed Control Multi-Agent Systems
- Urban Green Space and Health
- Zebrafish Biomedical Research Applications
- Urban Transport and Accessibility
- Cosmology and Gravitation Theories
- Robotics and Sensor-Based Localization
- Machine Learning and Algorithms
- Advanced Neural Network Applications
Institute of Modern Physics
2025
Fudan University
2025
Nanjing University of Aeronautics and Astronautics
2018-2022
Guangxi University for Nationalities
2021
Shenzhen Second People's Hospital
2015
Ocean University of China
2010
With the development of automated logistics systems, flexible manufacture systems (FMS) and unmanned factories, application guided vehicle (AGV) gradually become more important to improve production efficiency automatism for enterprises. The AGV play an role in reducing labor cost, improving working conditions, unifying information flow logistics. Path planning has been a key issue control system. In this paper, two problems, shortest time path collision multi have solved. An improved A-Star...
Axionlike particles (ALPs) and dark photons (DPs) are viable matter particle candidates. We have searched for possible ALP/DP signals in the PandaX-4T liquid xenon detector using 440 kg·yr of data. A binned likelihood fit is constructed to search mono-energetic peaks induced by absorption processes between ALPs/DPs atomic electrons xenon. detailed temporal model decays associated with isotopes introduced constrain number background events. No signal excess over expectations observed, we...
The traveling salesman problem (TSP), a typical non-deterministic polynomial (NP) hard problem, has been used in many engineering applications. Genetic algorithms are useful for NP-hard problems, especially the problem. However, it some issues solving TSP, including quickly falling into local optimum and an insufficient optimization precision. To address TSP effectively, this paper proposes hybrid Cellular Algorithm with Simulated Annealing (SA) (SCGA). Firstly, SCGA is improved (GA) based...
Mobile onboard target detection system with autonomous drone-assisted Internet of Things, due to its inherent agility and coverage-effective deployment, is beneficial in city management, ecosystem monitoring, etc. However, most advanced methods become inefficient or even malfunction, since the computation resources for online such a high-altitude dynamic environment are far beyond capability drone. To this end, we design implement ODTDS—an drone-based that performs data processing navigation...
Detection of moving targets is a basic but challenging function drone-based surveillance systems (DBSSs), which could give rise to various potential applications in smart city and intelligent transportation. However, how detect the dynamic high-altitude environment with restricted computational resources one most critical ones. Furthermore, during detection, target travel speed be blocked by dense-obstructer, such as woods buildings. In this paper, we develop an online detection...
Axion-like particles (ALPs) and dark photons (DPs) are viable matter particle candidates. We have searched for possible ALP/DP signals in the PandaX-4T liquid xenon detector using 94.8 days of data. A binned likelihood fit is constructed to search mono-energetic peaks induced by absorption processes between ALPs/DPs atomic electrons xenon. detailed temporal model decays associated with isotopes introduced constrain number background events. No signal excess over expectations observed, we...
Abstract The Park is the most important place for residents to have recreation and leisure, physical mental relaxation. With increasing pressure on in modern society, people’s needs park trails are becoming more apparent, designing that meet these an issue designers. This paper takes ergonomics theory as a guide proposes humanized planning strategy trail system. first step establish safe convenient system organizing traffic from macro-level perspective. second establishes ecological space...
In marine literature categorization, supervised machine learning method will take a lot of time for labelling the samples by hand. So we utilize Co-training to decrease quantities labelled needed training classifier. this paper, only select features from text details and add attribute labels them. It can greatly boost efficiency processing. For building up two views, split into parts, each which form an independent view. One view is made feature set abstract, other sets title, keywords,...