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maxonik [38]
2 years ago
8

The solidification of sediment into rock is called _____.

Computers and Technology
2 answers:
Mrrafil [7]2 years ago
5 0

The correct answer is lithification.

lara [203]2 years ago
3 0
The correct answer is D) lithification 
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"Simon Says" is a memory game where "Simon" outputs a sequence of 10 characters (R, G, B, Y) and the user must repeat the sequen
m_a_m_a [10]

Answer:

#include <iostream>  // includes input output functions

#include <string> // used for string functions

using namespace std;   // identifies objects like cout , cin

int main() {  // body of the main function

int index;   // index position of the elements

simonPattern = "RRGBRYYBGY";   //stores simon pattern

userPattern = "RRGBBRYBGY";   //stores user pattern

int userScore = 0;  // used to store the user score

// loop compares characters of user and simon patterns

for ( index = 0; userPattern[index] == simonPattern[index]; ++index) {

     userScore = userScore +1; // adds to the user score

     if (userPattern[index] != simonPattern[index]){

//if user and simon pattern do not match

        break;      }   } // breaks the loop

cout << "userScore is  " << userScore; // prints the user score

Explanation:

The program compares the user pattern to simon pattern character by character and keeps adding one to the user score if the characters of both simon and user patterns match. The loop breaks if the character of user pattern does not match with that of simon matter. At the end the calculated user score is displayed in the output.

3 0
2 years ago
Compare the memory organization schemes of contiguous memory allocation and paging with respect to the following issues: a. Exte
Free_Kalibri [48]

Answer:

The comparison is based on memory organization schemes of contiguous memory allocation and paging with respect to External fragmentation, Internal fragmentation and Ability to share code across processes.

Explanation:

Memory organization schemes of contiguous memory allocation:

Contiguous memory allocation schemes suffers from external fragmentation. The reason is that address space is distributed contiguously and the holes and gaps keep growing when the old processes die and new processes are introduced. The variable size partition suffers from external fragmentation however the fixed size partitions do not suffer from external fragmentation. Contiguous memory allocation with variable size partitions does not encounter an internal fragmentation but with fixed size partitions suffers from internal fragmentation. Contiguous memory allocation does not support sharing code across processes. This is because the virtual memory segment of a process is not fragmented into non-contiguous fine grained blocks.

Paging:

Paging does not encounter external fragmentation as pages are of the fixed or equal size. So this reduces external fragmentation. However paging suffers from internal fragmentation. This is because a process can request more space or it can request for a less space. When page is allocated to the such a process that page is no longer utilized.This results in internal fragmentation because of the wastage of space even when the page has internal space but cannot be fully utilized. Paging allows to share code across processes.

5 0
2 years ago
Write a program that uses the function isPalindrome given in Example 6-6 (Palindrome). Test your program on the following string
Artist 52 [7]

Answer:

#include <bits/stdc++.h>

using namespace std;

bool isPalindrome(string str)

{

   char a,b;

int length = str.length();

for (int i = 0; i < length / 2; i++)

{

   a=tolower(str[i]);//Converting both first characters to lowercase..

   b=tolower(str[length-1-i]);

   if (b != a )

return false;

}

return true;

   

}

int main() {

   string t1;

   cin>>t1;

   if(isPalindrome(t1))

   cout<<"The string is Palindrome"<<endl;

   else

   cout<<"The string is not Palindrome"<<endl;

return 0;

}

Output:-

Enter the string

madam

The string is Palindrome

Enter the string

abba

The string is Palindrome

Enter the string

22

The string is Palindrome

Enter the string

67876

The string is Palindrome

Enter the string

444244

The string is not Palindrome

Explanation:

To ignore the cases of uppercase and lower case i have converted every character to lowercase then checking each character.You can convert to uppercase also that will also work.

6 0
2 years ago
In the context of the components of a typical expert system, _____ is a software package with manual or automated methods for ac
Pani-rosa [81]

Answer:

knowledge acquisition facility

Explanation:

In the context of the components of a typical expert system, Knowledge acquisition facility is defined as that component of an expert system that is responsible for providing an effective and efficient medium for collecting and incorporating relevant information such as data, new rules, relationships and facts used by the expert system.

6 0
2 years ago
Moore’s Law is said to be more of a trend, rather than a representation of the actual number of transistors on a silicon chip. W
inna [77]

Answer:

Moores Law is defined to be the computer law which defines that the number of transistors on the integrated circuits will double time to time such as in an interval of 2 years. Moore's Law was coined by Intel employee, Gordon Moore.Moore's law is the observation that the number of transistors in a dense integrated circuit doubles about every two years. ... Moore's law describes a driving force of technological and social change, productivity, and economic growth.

Explanation:

Moore's Law is named after Intel cofounder Gordon Moore. He observed in 1965 that transistors were shrinking so fast that every year twice as many could fit onto a chip, and in 1975 adjusted the pace to a doubling every two years. ... Intel has suggested silicon transistors can only keep shrinking for another five years.Moore's law is the observation that the number of transistors in a dense integrated circuit doubles about every two years. ... Moore's law describes a driving force of technological and social change, productivity, and economic growth.Moore's law is the observation that the number of transistors in a dense integrated circuit doubles about every two years. ... Moore's law describes a driving force of technological and social change, productivity, and economic growth. Moore's law is an observation and projection of a historical trend.Moore's law is the observation that the number of transistors in a dense integrated circuit doubles about every two years. The observation is named after Gordon Moore, the co-founder of Fairchild Semiconductor and CEO of Intel, whose 1965 paper described a doubling every year in the number of components per integrated circuit,[2] and projected this rate of growth would continue for at least another decade.[3] In 1975,[4] looking forward to the next decade,[5] he revised the forecast to doubling every two years, a compound annual growth rate (CAGR) of 40%.[6][7][8]

The doubling period is often misquoted as 18 months because of a prediction by Moore's colleague, Intel executive David House. In 1975, House noted that Moore's revised law of doubling transistor count every 2 years in turn implied that computer chip performance would roughly double every 18 months (with no increase in power consumption).[9] Moore's law is closely related to MOSFET scaling, also known as Dennard scaling,[10] as the rapid scaling and miniaturization of silicon MOSFETs (metal-oxide-semiconductor field-effect transistors, or MOS transistors)[11][12] is the key driving force behind Moore's law.[10][13]

Moore's prediction proved accurate for several decades and has been used in the semiconductor industry to guide long-term planning and to set targets for research and development (R&D).[14] Advancements in digital electronics are strongly linked to Moore's law: quality-adjusted microprocessor prices,[15] memory capacity (RAM and flash), sensors, and even the number and size of pixels in digital cameras.[16] Digital electronics has contributed to world economic growth in the late twentieth and early twenty-first centuries.[17] Moore's law describes a driving force of technological and social change, productivity, and economic growth.[18][19][20][21]

Moore's law is an observation and projection of a historical trend. It is an empirical relationship and not a physical or natural law. Although the rate held steady from 1975 until around 2012, the rate was faster during the first decade. In general, it is not logically sound to extrapolate from the historical growth rate into the indefinite future. For example, the 2010 update to the International Technology Roadmap for Semiconductors predicted that growth would slow around 2013,[22] and in 2015, Gordon Moore foresaw that the rate of progress would reach saturation: "I see Moore's law dying here in the next decade or so."[23]

Microprocessor architects report that semiconductor advancement has slowed industry-wide since around 2010, below the pace predicted by Moore's law.[24] Brian Krzanich, the former CEO of Intel, announced, "Our cadence today is closer to two and a half years than two."[25] Intel stated in 2015 that improvements in device have slowed, starting at the 22 nm feature width around 2012, and continuing at 14 nm.[26] Krzanich cited Moore's 1975 revision as a precedent for the current deceleration, which results from technical challenges and is "a natural part of the history of Moore's law".[27][28][29] Leading semiconductor manufacturers, TSMC and Samsung Electronics, have the 10 nm and 7 nm nodes in

4 0
2 years ago
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