Publications by authors named "Meng-Li Cao"
Article Synopsis
- The study investigated the efficacy and safety of Shufeng Jiedu (SFJD) capsules for managing mild to moderate COVID-19 symptoms through a randomized, double-blind, placebo-controlled trial conducted in China from May to December 2022.
- A total of 407 participants completed the trial, with those taking SFJD experiencing faster symptom relief, with a median time of 7 days compared to 8 days for the placebo group.
- The SFJD group also showed significant reductions in fever and headache symptoms, and no serious adverse events occurred during the trial.
Pollution source parameter identification (PSPI) is significant for pollution control, since it can provide important information and save a lot of time for subsequent pollution elimination works. For solving the PSPI problem, a large number of pollution sensor nodes can be rapidly deployed to cover a large area and form a wireless sensor network (WSN). Based on the measurements of WSN, least-squares estimation methods can solve the PSPI problem by searching for the solution that minimize the sum of squared measurement noises.
View Article and Find Full Text PDFIn this paper, we present an estimation-based route planning (ERP) method for chemical source searching using a wheeled mobile robot and validate its effectiveness with outdoor field experiments. The ERP method plans a dynamic route for the robot to follow to search for a chemical source according to time-varying wind and an estimated chemical-patch path (C-PP), where C-PP is the historical trajectory of a chemical patch detected by the robot, and normally different from the chemical plume formed by the spatial distribution of all chemical patches previously released from the source. Owing to the limitations of normal gas sensors and actuation capability of ground mobile robots, it is quite hard for a single robot to directly trace the intermittent and rapidly swinging chemical plume resulting from the frequent and random changes of wind speed and direction in outdoor field environments.
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- Maintaining contact with chemical plumes during chemical plume tracing (CPT) is crucial, especially when detection is lost. A method called Track-Out is used to quickly reestablish contact by biasing the robot's direction.
- To enhance this process, the new online method called virtual trail following (VTF) uses recent successful instances to determine the best bias angle for Track-Out activities. A collaborative version (cVTF) allows multiple robots to share and learn from each other's data.
- Experimental results show that both VTF and cVTF are better than the biased upwind surge (BUS) method in adapting to different airflow conditions, with cVTF outperforming VTF in success rates and efficiency
This paper investigates the problem of locating a continuous chemical source using the concentration measurements provided by a wireless sensor network (WSN). Such a problem exists in various applications: eliminating explosives or drugs, detecting the leakage of noxious chemicals, etc. The limited power and bandwidth of WSNs have motivated collaborative in-network processing which is the focus of this paper.
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