A small remote sensing payload (3 Kg.) is being flown on a low altitude (500 Km) Rohini Satellite to be launched by India in middle of 1982. The sensor comprises of two solidstate cameras having resolution of 1 Km with 250 Km swath, using photodiode array in Red and IR bands.The scan motion is provided by the spin of the satellite. The sensor utilises smart technique for reduction of data content to be transmitted to ground by incorporating onboard feature classification algorithms.
Location management is essential task in current cellular system. Mobility prediction is widely used to assist handoff management, resource reservation and service pre-configuration. Location management methods are to find out mobile unit current location. Location update and paging have to maintain efficiently to minimize location management cost in cellular network. This paper introduce new timer based algorithm using cache memory for improve hit ratio. This algorithm is based on user's daily predefined moving geographical activities pattern, according to time. Paging decision for user is based on this predicted location for any instance of time interval. This predicated value again sort by higher probability of user finding in any cell for that time duration. This prediction information is saved by mobile unit in its personal cache memory for every fixed time interval. The results confirm the effectiveness of this method compare to existing method for real time in mobile services.
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