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Explain the transport layer in detail.
Transport Layer: The transport layer controls and makes sure the end-to-end integrity of the data message propagated by the network among two devices that gives for the reliable, transparent transfer of data among two end points. Transport layer responsibilities comprise message routing, error recovery, segmenting and two types of fundamental services to an upper-layer protocol: connectionless and connectionless oriented. The transport layer is the highest layer into the OSI hierarchy under terms of communications and may give data tracking, sequencing of data, connection flow control, error checking and application identification and addressing.
Explanation Constants are "variables" that cannot be changed within a function- or script-body. The value will always be the similar during script-implementation. Syntax "AX
What is the Analysis Techniques Object Modelling Object modelling is very significant for any object oriented development, object modelling shows static data structure of real
explain about cloud computing
Explain the Executing Requests Using a Message-Passing Architecture Executing requests using a message-passing architecture requires good fundamental client-server programming
Q. Explain types of Micro-instructions? In general micro-instruction can be classifiedin two general kinds. These are non-branching and branching. After execution of a non-bran
The capacity of 2K × 16 PROM is to be expanded to 16 K × 16. Find the number of PROM chips required and the number of address lines in the expanded memory. Ans. Capacity requi
What is branch instruction? As a result of branch instruction is a type of instruction which loads a latest values into the program counter.
Q. Show the characteristic of cache memory? The essential characteristic of cache memory is its fast access time. So very little or no time should be wasted when searching for
Binary Resolution: We looked at unit resolution (a propositional inference law) in the last lecture: A ∨ B, ¬B /A We may have this a bit further to propositional bin
Over fitting Considerations : Hence in left unchecked there backpropagation in multi-layer networks can be highly susceptible to overfitting itself to the training examples. B
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