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What is Basic Time Division Switching?
Basic Time Division Switching: The functional blocks of a memory based time division switching switch is demonstrated in figure and its corresponding circuit in figure. In this organisation, all the data coming in by the inlets are written in the data memory and later read out to the suitable outlets. The outgoing and incoming data are generally in serial form while the data are written in and read out of the memory in the parallel form. This therefore, becomes essential to perform serial-to-serial conversion as well as parallel-to-serial conversion at the inlets and outlets correspondingly. For convenience, the data-in and data-out parts of the MDR are demonstrated separately for the data memory in figure given below, though in reality, MDR is a single register. Because there is only one MDR, a gating mechanism is essential to connect the needed inlet/outlet to MDR. It is done through the in-gate and out-gates units.
What are the events used for page headers and footers? The events TOP-OF-PAGE and END-OF-PAGE are used for pager headers and footers.
What are the limitations of traditional payment instruments? The limitations of traditional payment system are that they take a lot of time. These systems needs manual work to
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What is a zombie? When a program forks and the child finishes before the parent, the kernel still keeps some of its information about the child in case the parent might require
Q. Requirements of decision support system? a) Fast computation A decision maker is able to perform a large number of computations very quickly and that too at a low cost
how can we improve the way LLC and MAC are used for LAN operation.?
Electronic Data Interchange (EDI ) is used by companies for transactions that happen on regular basis to a pre-determined format. It is one of the electronic commerce technologies.
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Result extends to functions - perceptrons: Thus the dotted lines can be seen as the threshold in perceptrons: whether the weighted sum, S, falls below it, after then the perce
Learning algorithm for multi-layered networks: Furthermore details we see that if S is too high, the contribution from w i * x i is reduced. It means that t(E) - o(E) is mu
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