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Handwritten Optical Character Recognition (HOCR) is one of the
research fields where the lots of the researchers are working very
hard to solve the problems. A little effort is made here in respect
to solve the problem in recognition of Handwritten Devnagari
Characters, which is very challenging task because of the different
writers have their own style to write and there is a lot of
variation is occurred in their writing. In order to obtain higher
recognition rate, a large database of all possible or maximum
variations have been taken from a large group of writers. Because
by including these variations we can make our recognition more
general to test samples of writers from different background and
recognition rate will be observed efficient and it will be
acceptable in large domain of users.
PMThis book proposes an analytical model for dynamic priority
queuing of handover calls in Integrated Wireless Networks(IWN).The
model employs a queuing discipline with two classes of priority for
handover calls.First priority(handoff voice call)and second
priority(handoff data call),are employed for the two classes of
handover calls.Buffers are provided for both,voice and data calls
to reduce the blocking probability.In addition,to reduce the
incomplete transmission probability of data service,a dynamic
multi-channel allocation scheme with channel de-allocation and
guard channels are provided for data traffic.Compared with the
conventional method where the system adopts a single channel
allocation scheme with guard channel for data users,the proposed
scheme shows significant improvement in data blocking
probability,throughout and mean service time.Results also show that
the predictions of the analytical model developed in this book is
in very good agreement with simulation results.The proposed
analytical work is anticipated to be a very useful tool in
evaluating performance of present and future IWN employing dynamic
priority queuing for handovers and its more efficient algorithm
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