Hathnora in Central Narmada valley (Madhya Pradesh) has earlier yielded a partial skullcap, and two clavicles and a 9^th rib of Middle Pleistocene hominin. Recent explorations have brought to light two more human fossils-a humerus and a femur from a new locality, Netankheri. The femur is derived from the Middle Pleistocene stratigraphic horizon as the Hathnora skullcap, and shares similar “archaic” mosaic morphology of Homo <i>heidelbergensis</i>, also attested by new bio-stratigraphic and Palaeolithic data. The humerus is derived from the pre-YTA (~75 Kya) Upper Pleistocene strata in association with unique fossilized bone artifacts and documents the early emergence of anatomically modern <i>Homo sapiens</i> in South Asia

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With the rapid enhancement in mobile & wireless network, especially with the upcoming of 3G and 4G , location management become more challenging. We propose a probability based location management technique which finds the probability of user movement in different Location Areas. Apart from traditional two databases HLR (Home Location Register) & VLR (Visitor Location Register) another database called LDR (Local signal transfer point Data Register) is introduced to reduce the costly SS7 message traffic and database access traffic from RSTP(Remote Signal Transfer Point) to HLR. Depending on the Frequently Visited Location Areas of MTs users are assigned under a particular LSTP Area called home LDR. Location pointers are set up at home LDR to indicate the current Location of the MTs that crosses the home LSTP Database Area. An analytical model is developed with different set of probabilities for studying the performance of the proposed scheme. Numerical Results show that such a method significantly improves the location Management procedures.

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