An algorithm has been developed to automatically construct individual models of normal activity within a home using motion sensor data. Alerts can be generated when a period of inactivity exceeds a normal length for a particular residence. Alerting frequency has been optimized on a total of 650 days of real data from four homes of seniors who live independently. Results suggest that an inexpensive system that does not require the occupant to push any buttons or wear any devices could nonetheless alert within hours if a senior is unusually inactive. Further, such algorithms may facilitate widespread deployment of smart home technology to persons with different behavior patterns and home layouts by using automatic learning in place of potentially tedious manual configuration.

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Meeting peak demand is a major challenge faced by our power sector. Electric vehicle penetration, having V2G capability can reduce the impact of this peak deficiency and can facilitate DSM. Bidirectional converters are the most important part of these V2G capable vehicles. So this paper contains the design, simulation and comparison of 2 types of single phase bidirectional converters suitable for V2G and G2V applications.Simulations are performed using Matlab -Simulink background.

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