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What is Random access memory (RAM)
This is a volatile memory (i.e. contents are lost when computer is switched off). A user can write or delete data and read the contents. Before a program can be ran it should first be loaded into RAM that allows CPU to access the program. Battery-backed RAMs overcome data loss on switching power off though are outside the scope of these booklets.
(NOTE: For completeness, it's worth mentioning that two types of RAM exist termed as SRAM (static RAM) and DRAM (dynamic RAM) - SRAM doesn't need to be constantly refreshed to retain its memory unlike DRAM. Also consider that computers use cache which is a part of memory made from SRAM. Memory caching works as programs generally access the same data or instructions over and over again. By retaining as much information as possible in SRAM, computer operates more quickly (cache is generally termed level 1, 2 or 3 (termed L1, L2 or L3)).
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How many types of keys used to encrypt and decrypt data in Secure Sockets Layer? Two forms of keys are used as ciphers to decrypt and encrypt data. Private keys are referred to
a) Prototype a macro known AP which takes 4 integer parameters n (number of terms), a (first term), l (last term) and Sum (sum of n terms), provided that: Sum = (a+l)*n/2 b)
Explain the term - Strong Typing and Weak Typing Strong Typing : When any operation upon an object can be checked during compile time, when type is confirmed forcefully.
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Q. What is Master slave kernel? Master slave kernel: In this model just one of processors is assigned as Master. The master is in charge for subsequent activities: i)
Prolog Programming Language : Probably programming languages are procedural: than the programmer specifies exactly the right instructions (algorithms) required to get an agent
Discuss in detail the subscriber loop systems. Subscriber Loop System: Every subscriber in a telephone network is linked usually to the nearest switching office by means of w
Question 1: Explain in detail the characteristics of the following artificial neural networks. (a) Recurrent Neural Networks. (b) Self-organising Mapping Neural Networks.
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