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belka [17]
3 years ago
7

La inteligencia o unidad lógica de un computador se denomina como??? Software, Hardware CPU o que, ayuda.....

Computers and Technology
1 answer:
Ainat [17]3 years ago
6 0
<span>Unidad de lógica aritmética</span>
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Select the correct answer.
ladessa [460]

Answer:

ask customers to use strong passwords to protect their accounts

8 0
3 years ago
Read 2 more answers
C++
daser333 [38]

#include<iostream>

#include <fstream>

#include <vector>

#include <string>

#include "StatePair.h"

using namespace std;

int main() {

ifstream inFS;

int zip;

int population;

string abbrev;

string state;

unsigned int i;

vector<StatePair <int, string>> zipCodeState;

vector<StatePair<string, string>> abbrevState;

vector<StatePair<string, int>> statePopulation;

inFS.open("zip_code_state.txt");

if (!inFS.is_open()) {

    cout << "Could not open file zip_code_state.txt." << endl;

    return 1;

}

while (!inFS.eof()) {

    StatePair <int, string> temp;

    inFS >> zip;

    if (!inFS.fail()) {

        temp.SetKey(zip);

    }

    inFS >> abbrev;

    if (!inFS.fail()) {

        temp.SetValue(abbrev);

    }

    zipCodeState.push_back(temp);

}

inFS.close();

inFS.open("abbreviation_state.txt");

if (!inFS.is_open()) {

    cout << "Could not open file abbreviation_state.txt." << endl;

    return 1;

}

while (!inFS.eof()) {

    StatePair <string, string> temp;

    inFS >> abbrev;

    if (!inFS.fail()) {

        temp.SetKey(abbrev);

    }

    getline(inFS, state);

    getline(inFS, state);

    state = state.substr(0, state.size()-1);

    if (!inFS.fail()) {

        temp.SetValue(state);

    }

    abbrevState.push_back(temp);

}

inFS.close();

inFS.open("state_population.txt");

if (!inFS.is_open()) {

    cout << "Could not open file state_population.txt." << endl;

    return 1;

}

while (!inFS.eof()) {

    StatePair <string, int> temp;

    getline(inFS, state);

    state = state.substr(0, state.size()-1);

    if (!inFS.fail()) {

        temp.SetKey(state);

    }

    inFS >> population;

    if (!inFS.fail()) {

        temp.SetValue(population);

    }

    getline(inFS, state);

    statePopulation.push_back(temp);

}

inFS.close();

cin >> zip;

for (i = 0; i < zipCodeState.size(); ++i) {

 }

for (i = 0; i < abbrevState.size(); ++i) {

 }

for (i = 0; i < statePopulation.size(); ++i) {

}

}

Statepair.h

#ifndef STATEPAIR

#define STATEPAIR

#include <iostream>

using namespace std;

template<typename T1, typename T2>

class StatePair {

private:

T1 key;

T2 value;

public:

StatePair()

{}

void SetKey(T1 key)

{

this->key = key;

}

void SetValue(T2 value)

{

this->value = value;

}

T1 GetKey() { return key;}

T2 GetValue() { return value;}

void PrintInfo()

{

cout<<key<<" : "<<value<<endl;

}

};

3 0
2 years ago
How can you represent a graphic element in a wireframe?
rusak2 [61]

Answer:

The answer is "in the form of design, color and graphic".

Explanation:

The wireframe is also recognized as 'skeleton', it is a static, low-fidelity description of various layouts, which provides shapes to the component. It is indeed a visualization of even an interface using only basic shapes.

It is a 2D illustration of a site user interface, which primarily focuses on capacity planning and priority of information, features available, and role expectations like, storyboards which do usually not include design, color, or graphics.

3 0
3 years ago
Define each of the following data mining functionalities: characterization, discrimination, association and correlation analysis
Step2247 [10]

Answer:

In the clarification portion below, the definition according to the received information is summarized.

Explanation:

  • <u>Characterization:</u>

It is indeed a summary of general object characteristics in something like a target class and creates characteristic laws.

  • <u>Discrimination:</u>

Just before predefined data types have been held to a different standard from everyone else, it's indeed bias which always happens.

  • <u>Association:</u>

It's a mechanism that determines the possibility that objects in a set will co-occur.

  • <u>Classification:</u>

It is indeed duction which attributes elements to target groups or classes in a set.

  • <u>Prediction:</u>

It is solely dependent on either the interpretation of other similar values to classify data points.

  • <u>Clustering:</u>

It has been used to position the components of the information through their corresponding classes.

  • <u>Evolution Analysis:</u>

It would be for objects whose behavior varies throughout time to explain or design regularities.

5 0
3 years ago
ossless compression tools generally use either Huffman coding or Lempel-Ziv-Welch (LZW) coding. Discuss the advantages and disad
anygoal [31]

Answer:

It we were asked to develop a new data compression tool, it is recommended to use Huffman coding since it is easy to implement and it is widely used.

Explanation:

The pros and the cons of Huffman coding

Huffman coding is one of the most simple compressing encoding schemes and can be implemented easily and efficiently. It also has the advantage of not being patented like other methods (e.g. arithmetic codingfor example) which however are superior to Huffman coding in terms of resulting code length.

One thing not mentioned so far shall not be kept secret however: to decode our 96 bit of “brief wit” the potential receiver of the bit sequence does need the codes for all letters! In fact he doesn’t even know which letters are encoded at all! Adding this information, which is also called the “Huffman table” might use up more space than the original uncompressed sentence!

However: for longer texts the savings outweigh the added Huffman table length. One can also agree on a Huffman table to use that isn’t optimized for the exact text to be transmitted but is good in general. In the English language for example the letters “e” and “t” occur most often while “q” and “z” make up the least part of an average text and one can agree on one Huffman table to use that on average produces a good (=short) result. Once agreed upon it doesn’t have to be transmitted with every encoded text again.

One last thing to remember is that Huffman coding is not restricted to letters and text: it can be used for just any symbols, numbers or “abstract things” that can be assigned a bit sequence to. As such Huffman coding plays an important role in other compression algorithms like JPG compression for photos and MP3 for audio files.

The pros and the cons of Lempel-Ziv-Welch

The size of files usually increases to a great extent when it includes lots of repetitive data or monochrome images. LZW compression is the best technique for reducing the size of files containing more repetitive data. LZW compression is fast and simple to apply. Since this is a lossless compression technique, none of the contents in the file are lost during or after compression. The decompression algorithm always follows the compression algorithm. LZW algorithm is efficient because it does not need to pass the string table to the decompression code. The table can be recreated as it was during compression, using the input stream as data. This avoids insertion of large string translation table with the compression data.

3 0
4 years ago
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