Duan Junhua’s research while affiliated with Northwestern Polytechnical University and other places

The mobile crowd sensing technology in the environment integrating human, machines and things is an emerging direction in social computing. In kinematics research, continuous blood pressure monitoring and calibration are the basis for revealing the correlation between athlete motor function and blood pressure. At the same time, in the field of medical research, hypertension can be more easily controlled, thus improving the effectiveness of hypertension treatment. This paper presents the design principle of a human-machine fusion system based on CrowdOS, a mobile crowd sensing platform. The system innovatively establishes the correlation between blood pressure and exercise, improves the accuracy of cuffless blood pressure measurement, and verifies the feasibility of calibrating continuous cuffless blood pressure measurement based on exercise information. Using our system and electronic cuff sphygmomanometer, we measured 65 groups of data in walking, running, sitting and climbing stairs, each group lasting about 10 minutes. Based on these data, we established a regression analysis model for blood pressure measurement calibration. The accuracy of blood pressure calibration was improved from the original systolic root mean square error of 13.43mmHg and diastolic root mean square error of 8.35mmHg to 9.76mmHg and 5.56mmHg. The design method proposed in this paper provides a feasible solution for continuous cuffless blood pressure measurement and calibration, and shows broad application prospects in the fields of athlete scientific training and medical care.

In this paper, a new network topology control mechanism is proposed to improve routing path duration in Aeronautical ad hoc network, which can effectively decrease the probability of routing path breaks in the process of nodes high-speed moving, and be integrated with existing routing protocols used in Ad hoc network smoothly. The main principle of topology control mechanism is according to the different node densities with different topology construction method. For network regions having a high density of aircraft, the packets are preferentially routed over the long available links created by the aircraft moving in same direction. For low density of aircraft, the routing preferentially uses the short available links created by the aircraft moving in both directions. This mechanism can increase the routing path duration effectively. We combine the topology control mechanism with OLSR, and give the Path Link Availability Routing Protocol (PLAR). We compare the performance of PLAR protocol with other routing protocols in different scenes. Experimental results show that, PLAR protocol exhibits a significant improvement over most routing protocols base on topology and position.