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kramer
3 years ago
6

Which of the following definition below describes a wall opening?

Computers and Technology
2 answers:
zloy xaker [14]3 years ago
8 0

The answer is A: An opening at least 30 inches high and 18 inches wide in any wall or partition.

An opening in a wall or a partition is defined as an opening 30 inches or more high and 18 inches wide through which persons may fall. A wall opening includes a chute opening or a yard-arm doorway. Wall openings are easy to make since they do not have to go to elevation to manage its size.


My name is Ann [436]3 years ago
5 0
A. An opening at least 30 inches high and 18 inches wide in any wall or partition. 
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Which should be addressed by stakeholders when reviewing the problem statement? Select all that apply. All possible outcomes hav
kumpel [21]

Answer:

  • The problem as they see it has been addressed
  • The solution proposed will meet their needs
  • The needs of their colleagues are being met
  • All issues and constraints have been identified

Explanation:

The stakeholders in a project or business involves every human resource of the business/project that is essential to the successful completion of the business/project at hand.

The factors to be addressed by stakeholders when reviewing a problem statement is very important for the success of the project hence : the problem as seen in the problem statement has to be addressed, the solution been proposed to solve every problem identified should meet the needs of every stakeholder, also every stakeholder in a project has to be carried along hence the need of every stakeholder has to be considered as well.

7 0
3 years ago
Which member of the restaurant and food/beverage service career is mostly likely to plan menus and direct worker
kumpel [21]

What are the options for the question

5 0
3 years ago
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Your task is to create a bash shell script that is able to backup all the C++ program files in your current directory. The algor
Oliga [24]

Answer:

backup() {

 read dirname;

 if [[ whereis . /`$dirname` 2>  sterr.exe]]  

    then

        mkdir  $dirname

 for f in . / *.cpp

 do

    cp f "path_to_dirname"

    echo "file backup complete"

}

backup( )

Explanation:

The bash script above is used to backup C++ source files in a directory to a backup directory which is created if it does not exist, and copy's each .cpp file to backup, then sends a message to declare its completion.

7 0
4 years ago
If there are 8 opcodes and 10 registers, a. What is the minimum number of bits required to represent the OPCODE? b. What is the
Nimfa-mama [501]

Answer:  

For 32 bits Instruction Format:

OPCODE   DR               SR1                   SR2      Unused bits

a) Minimum number of bits required to represent the OPCODE = 3 bits

There are 8 opcodes. Patterns required for these opcodes must be unique. For this purpose, take log base 2 of 8 and then ceil the result.

Ceil (log2 (8)) = 3

b) Minimum number of bits For Destination Register(DR) = 4 bits

There are 10 registers. For unique register values take log base 2 of 10 and then ceil the value.  4 bits are required for each register. Hence, DR, SR1 and SR2 all require 12 bits in all.  

Ceil (log2 (10)) = 4

c) Maximum number of UNUSED bits in Instruction encoding = 17 bits

Total number of bits used = bits used for registers + bits used for OPCODE  

     = 12 + 3 = 15  

Total  number of bits for instruction format = 32  

Maximum  No. of Unused bits = 32 – 15 = 17 bits  

OPCODE                DR              SR1             SR2              Unused bits

  3 bits              4 bits          4 bits           4 bits                17 bits

7 0
3 years ago
Which of the following shows a list of Big-Oh running times in order from slowest to fastest?
Rufina [12.5K]

Answer:

O(N!), O(2N), O(N2), O(N), O(logN)

Explanation:

N! grows faster than any exponential functions, leave alone polynomials and logarithm. so O( N! ) would be slowest.

2^N would be bigger than N². Any exponential functions are slower than polynomial. So O( 2^N ) is next slowest.

Rest of them should be easier.

N² is slower than N and N is slower than logN as you can check in a graphing calculator.

NOTE: It is just nitpick but big-Oh is not necessary about speed / running time ( many programmers treat it like that anyway ) but rather how the time taken for an algorithm increase as the size of the input increases. Subtle difference.

5 0
3 years ago
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