Health care is a significant application of pervasive computing. In recent years, the pervasive health care applications are replaced by cloud-based health care applications thus solving the problem of scalability and computing cost. In a cloud-based pervasive health care data security and privacy becomes a greater concern. The key contribution of this paper is to provide high privacy, data confidentiality, availability against the health data and this is achieved using the proposed access control model which uses a PR based approach for providing access control to various users of the system. Privacy rating (PR) is calculated for both the user and the data to provide access to any data that is being requested by the user. The results achieved shows that the proposed model achieves high level of privacy and security for the data stored in the healthcare system.
The harnessing of solar energy during operations of unmanned aerial vehicle(UAV) provides potential solution to combat energy constraints. This Thesis examines the practicality of mini solar drone and provide experimental validation in regards to energy maximization through solar energy management and flight time optimization.The simulations results are consistent with real time measurements during flight test. This project deals with a quadcopter using solar energy as well as lithium polymer battery as power source combination to give maximum flight output. Using solar panels, it collects the energy during day time for immediate use and also store the remaining part for night as well. The objective is to identify , design and analyze such a reusable solar powered quadcopter for high altitude endurance and longer battery life.
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