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Shadow RAM is a copy of Basic Input/Output Operating System (BIOS) routines from read-only memory (ROM) into a particular area of random access memory (RAM) so that they can be accessed more rapidly. Access in shadow RAM is typically in the 60-100 nanosecond range while ROM access is in the 125-250 ns range. In some operating systems like DOS, certain BIOS routines are not only used during the boot or start-up of the system, but also during normal operation, particularly to drive the video display terminal. In Windows and OS/2, thus, these routines are not used and the use of shadow RAM is not essential. In some systems, the user can turn the use of shadow RAM off or on.
Environments: We have seen that an agents intelligent should take into account certain information when it choose a rational action, including information from its sensors, in
The process of entering data into a ROM is called ? Ans. The process of entering data in ROM is termed as programming the ROM.
The bandwidth requirement of a telephone channel is (A) 3 KHz (B) 15 KHz (C) 5 KHz (D) 25 KH
Discuss in detail about the Computers and supercomputers Computers are classified with respect to their size, cost and speed as supercomputers, servers, embedded computers and
explain area sub division method algorithm
What are advantages and disadvantages of TTL gates design with Wired-AND connection ? Ans. Advantages and disadvantages In this IC added logic is performed with
What is port? What are the types of port available? An I/O interface having of circuitry needed to connect an I/O device to computer bus. One side consists of a data path with
Speedup First, we take the speedup factor which is we see how much speed up performance we achieve by pipelining. First we take ideal case for measuring the speedup. Let n b
What is the advantages for Linux? Runs on old Hardware Low-Cost Linux is fully customizable in all its components Powerful Linux runs on low-end, cheap hardware
Avoiding Overfitting : However remember there that in the previous lecture, there is over fitting that common problem in machine learning. Furthermore details to decision tree
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