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Alina [70]
2 years ago
6

Why is computer called information processing machine ?????​

Computers and Technology
2 answers:
Artist 52 [7]2 years ago
5 0

Answer: the computer accepts raw data as input and converts into information by means of data processing,

Explanation:

son4ous [18]2 years ago
5 0
<h2>Computer is called information processing machine because they consist of both hardware and software. Accepts raw data as input and converts into information by means of data processing, it is called information processing machine..</h2>

byeee!

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Explain the distinction between interpretation and compilation. What are the comparative advantages and disadvantages of the two
Feliz [49]

Answer: Compiler translates high level source program into a equivalent target program (machine language).

An interpreter implements a virtual machine whose "machine language" is the high-level programming language. The interpreter reads statements in that

language more or less one at a time, executing them as it goes along.

Explanation:

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3 years ago
Date criteria are automatically enclosed in ____ when entered in a query design.
inysia [295]
Enclosed in number signs ######
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3 years ago
A typical analog cell phone has a frequency of 850 mhz; a digital phone a frequency of 1950 mhz. compared to the signal from an
Zepler [3.9K]
A higher frequency than the analog cell phone.
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3 years ago
- Consider the relation R = {A, B, C, D, E, F, G, H, I, J} and the set of functional dependencies F = { {B, C} -&gt; {D}, {B} -&
Olenka [21]

Answer:

The key of R is {A, B}

Explanation:

A key can be seen as a minimal set of attributes whose closure includes all the attributes in R.

Given that the closure of {A, B}, {A, B}+ = R, one key of R is {A, B} But in this case, it is the only key.

In order for us to to normalize R intuitively into 2NF then 3NF, we have to make use of these approaches;

First thing we do is to identify partial dependencies that violate 2NF. These are attributes that are

functionally dependent on either parts of the key, {A} or {B}, alone.

We can calculate

the closures {A}+ and {B}+ to determine partially dependent attributes:

{A}+ = {A, D, E, I, J}. Hence {A} -> {D, E, I, J} ({A} -> {A} is a trivial dependency)

{B}+ = {B, F, G, H}, hence {A} -> {F, G, H} ({B} -> {B} is a trivial dependency)

To normalize into 2NF, we remove the attributes that are functionally dependent on

part of the key (A or B) from R and place them in separate relations R1 and R2,

along with the part of the key they depend on (A or B), which are copied into each of

these relations but also remains in the original relation, which we call R3 below:

R1 = {A, D, E, I, J}, R2 = {B, F, G, H}, R3 = {A, B, C}

The new keys for R1, R2, R3 are underlined. Next, we look for transitive

dependencies in R1, R2, R3. The relation R1 has the transitive dependency {A} ->

{D} -> {I, J}, so we remove the transitively dependent attributes {I, J} from R1 into a

relation R11 and copy the attribute D they are dependent on into R11. The remaining

attributes are kept in a relation R12. Hence, R1 is decomposed into R11 and R12 as

follows: R11 = {D, I, J}, R12 = {A, D, E} The relation R2 is similarly decomposed into R21 and R22 based on the transitive

dependency {B} -> {F} -> {G, H}:

R2 = {F, G, H}, R2 = {B, F}

The final set of relations in 3NF are {R11, R12, R21, R22, R3}

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3 years ago
What is the name for an object that is what it appears to be?
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That would be a symbol
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