A5100687811- Traffic Prediction and Management Techniques
- 3D Shape Modeling and Analysis
- Simulation and Modeling Applications
- Robotic Path Planning Algorithms
- Optical Wireless Communication Technologies
- Satellite Communication Systems
- Traffic control and management
- Vehicle emissions and performance
- Transportation Planning and Optimization
- 3D Surveying and Cultural Heritage
- Advanced Wireless Communication Technologies
- Neural Networks and Applications
- Computer Graphics and Visualization Techniques
- Electrocatalysts for Energy Conversion
- Robot Manipulation and Learning
- Advanced Decision-Making Techniques
- Image Processing Techniques and Applications
- UAV Applications and Optimization
- Advanced Computational Techniques and Applications
- Dermatologic Treatments and Research
- Advancements in Solid Oxide Fuel Cells
- Advanced oxidation water treatment
- Robotics and Sensor-Based Localization
- Astronomical Observations and Instrumentation
- Wireless Sensor Networks and IoT
Shanghai Jiao Tong University
2023-2024
Sun Yat-sen University
2024
Wuhan University of Technology
2023
Oregon State University
2017-2023
Jiangsu University
2010-2023
Southwest University
2022-2023
Beijing Jiaotong University
2008
In this paper, by splitting a traffic flow series into basis and deviation series, the concepts of similarity repeatability patterns are defined using statistic average values further verified through real-time big data 82 days with sampling period 5 min collected from two typical ones among total 102 detecting sites in Shenzhen, China. Meanwhile, based on novel long-term forecasting method for is developed, hybrid algorithms short-/long-term prediction also proposed. The effectiveness these data.
4D imaging radars (4D radars) provide point clouds with range, azimuth, elevation as well Doppler velocity. They are much cheaper sensors than LiDARs and can operate under extreme weather conditions. However, its drawbacks of high noise sparsity would pose great challenges for SLAM. In this paper, we present a radar-based SLAM framework based on graph optimization. order to get cleaner radar cloud registration, the raw data is first filtered reduce ghost random noise. Next, estimate linear...
Recently, there is significant interest in performing convolution over irregularly sampled point clouds. Point clouds are very different from raster images, that one cannot have a regular sampling grid on clouds, which makes robustness under irregular neighborhoods an important issue. Especially, the k-nearest neighbor (kNN) neighborhood presents challenges for generalization because location of neighbors can be between training and testing times. In order to improve samplings, this paper...
In this article, we investigate the outage performance for a dual-hop free space optical-radio frequency communication system, in which source node communicates with two users on non-orthogonal multiple access basis via single-aperture and multi-antenna relay, can harvest energy from power beacon under nonlinear harvesting mode. particular, transmitting antenna selection (AS) criteria, namely, random-maximum AS (RA-AS) minimum-maximum (IA-AS) schemes, are considered to improve of system....
Stable pressure control can improve the lifespan, efficiency, and stability of proton exchange membrane fuel cell system (PEMFCs). We successfully implemented a feedforward-based proportion-integral controller (FPIC) to anode 100 kW system. The bench experimental results demonstrate that stack achieves maximum efficiency 62.3 %, while power generation achieve 53.5 %. Under steady-state dynamic conditions, strategy tracking accuracy 98.93 % 94.47 respectively. To address large overshoot...
In this study, secrecy performance for unmanned aerial vehicle (UAV) relaying multi-antenna satellite-terrestrial simultaneous wireless information and power transfer systems with non-orthogonal multiple access (NOMA) is investigated. Specifically, a satellite communicates two terrestrial NOMA users via UAV relay under the wiretapping of eavesdropper, which randomly distributed. addition, maximum ratio transmission scheme adopted at to transmit information, both combining splitting schemes...
The freeway congestion problem can be addressed employing a lot of different measures. Ramp metering is the most widely used control measures which direct and efficient way to upgrade traffic by regulating number vehicles entering freeway. This paper proposes two ramp algorithms in neuron adaptive are applied tune rate on-line real time. Compared traditional method feedback metering, these new methods effectively reduce oscillator density have stronger robustness, better instant response...
According to the prediction model of neural network training methods slow convergence speed, for a long time and difficult control complexity weights updating, this paper puts forward Bayesian reasoning state-space network, using termination conditions its confidence interval restrained by factor standard results. Using method can accelerate convergence, shorten maintain stability. With traffic data Bin He road Shenzhen in September 2007 verify model, experiments show that training, has good...
Abstract Aim To create a systematic digital health process mapping framework for full‐life‐cycle noncommunicable disease management grounded in key stakeholder engagement. Methods A triphasic, qualitative methodology was employed to construct Shanghai, China. The first phase involved desk research examine current guidance and practices. In the second phase, pivotal stakeholders participated focus group discussions identify prevalent touchpoints across lifetime management. final Delphi...
Large-scale datasets with point-wise semantic and instance labels are crucial to 3D segmentation but also expensive. To leverage unlabeled data, previous semi-supervised approaches have explored self-training frameworks, which rely on high-quality pseudo for consistency regularization. They intuitively utilize both in a joint learning manner. However, contain numerous noise derived from the imbalanced category distribution natural confusion of similar distinct categories, leads severe...
This study evaluates the long-term efficacy and safety of carbon dioxide (CO₂) laser excision as a novel treatment for large xanthelasma palpebrarum.
This article has been retracted by the publisher.
Recently, there has been a significant interest in performing convolution over irregularly sampled point clouds. Since clouds are very different from regular raster images, it is imperative to study the generalization of networks more closely, especially their robustness under variations scale and rotations input data. This paper investigates variants PointConv, network on clouds, examine rotation changes. Of we explored, two novel generated improvements. The first replacing multilayer...
To address the problem that ant colony algorithm is prone to fall into a local optimum and slow convergence, an adaptive merit-seeking proposed on basis of algorithm. The candidate table used cluster some nodes reduce size handled by random search; obtain common path generate approximate skeleton guide subsequent finding; initialization pheromones adjusted allocate in targeted manner improve convergence speed at initial stage; multiple optimal paths are saved same time, pheromone range...