In computer organization, the number systems are important for allowing the computer to process, store, and communicate data. Computers represent data with decimal numbers with certain number systems. Knowing what these systems are will help you understand how computers operate the way they do and process data efficiently. Below is a detailed description of each number system and how it relates to computer organization.
What is Number System in Computers?
A number system is a way of expressing numbers in a consistent manner using digits or other symbols. In the context of computers, a number system represents data and performs operations at the machine level. Computers typically work with binary, octal, decimal, and hexadecimal systems. These systems serve as the foundation for data encoding, arithmetic operations, and other computations in computers.
Types of Number Systems in Computer Organization
There are 4 types of number systems in computer organization:
1. Binary Number System
The binary number system is the most fundamental system used in computers. It uses only two digits, 0 and 1, to represent all data. This is because the underlying electronic circuits in a computer can only understand two states on (1) and off (0). Every bit in binary can represent a single binary digit, making it the building block for all computer operations.
Example:
For 11010,
= 1 × 2⁴ + 1 × 2³ + 0 × 2² + 1 × 2¹ + 0 × 2⁰
= 16 + 8 + 0 + 2 + 0
= (26)10
2. Octal Number System
The octal number system is a base-8 system that uses digits from 0 to 7. It is used as a shorthand representation of binary numbers because each octal digit corresponds to a group of three binary digits (bits).
Example:
For 726,
=7 × 8² + 2 × 8¹ + 6 × 8⁰
= 7 × 64 + 2 × 8 + 6
= 448 + 16 + 6 = (470)10
3. Decimal Number System
The decimal number system is used in everyday life, based on base 10. It uses digits from 0 to 9. Although computers don't natively use the decimal system, it is important for human-computer interaction, as users generally interact with computers using decimal numbers.
Example:
In 720, the value of 7 is 700 (7 × 10²), the value of 2 is 20 (2 × 10¹), and the value of 0 is 0 (0 × 10⁰).
4. Hexadecimal Number System
The hexadecimal number system is a base-16 system that uses digits from 0 to 9 and letters A to F (representing values 10 to 15). It is commonly used in computer programming to represent binary data, as each hexadecimal digit corresponds to four binary digits.
Example:
For number 27FB:
2 × 16³ + 7 × 16² + 15 × 16¹ + 11 × 16⁰
= 2 x 4096 + 7 x256 + 15 x 16 + 11
= 8192 + 1792 + 240 + 11
= (10235)10
5. ASCII (American Standard Code for Information Interchange)
ASCII is a 7-bit character set encoding standard for representing English letters, numbers, and symbols within computers with numeric values. ASCII converts characters into binary codes for storage and processing.
Example: 'A' = 65 → Binary: 01000001
6. Unicode
Unicode is a platform-independent character encoding scheme that can be utilized to represent text in any language and script. It gives a code point to every character, which makes the data represent uniformly on any platform.
Example: 'अ' = U+0905 → Binary (UTF-16): 0000100100000101
7. ISCII (Indian Script Code for Information Interchange)
ISCII is an 8-bit encoding scheme developed to represent Indian scripts such as Devanagari or Tamil or Bengali. All Indian language characters are encoded together in one binary format that is common to all.
Example: 'अ' = Code 161 → Binary: 10100001
Conversion of the Number System in Computer Organization
One of the prominent aspects of computer number systems is the conversion from one base to another. Interconversions among the various number systems play a central role in understanding data processing and storage in different forms. Some of the standard conversions are given below:
- Binary to Decimal Conversion: Multiply each binary digit by 2 to the power of the position number, starting from 0, and then sum up the results.
- Decimal to Binary Conversion: Keep on dividing the decimal number by 2 and note down the remainder with each division.
- Binary to Hexadecimal Conversion: Write binary digits in sets of four (starting from the right) and replace each set with its hexadecimal counterpart.
- Hexadecimal to Binary Conversion: Replace each hexadecimal digit with its equivalent 4-bit binary representation.
Importance of Number Systems in Computer Organization
The importance of number systems in computers cannot be overstated. Number systems form the core of all computer operations and have a direct impact on several key areas:
- Number systems are used to represent various types of data in computers, such as integers, floating-point numbers, and characters.
- The ability to perform operations with binary or hexadecimal numbers allows computers to perform fast arithmetic calculations.
- Number systems influence how data is stored in memory. For example, binary representation is used in RAM and hard drive storage, while hexadecimal representation is commonly used for memory addresses.
- Programming languages often require the use of different number systems to manage and manipulate data effectively, especially for low-level system programming or hardware interaction.
Representation of Number System in Computer Organization
The numbers are represented in binary, octal, decimal, and hexadecimal in the below table:
Binary |
Octal |
Decimal |
Hexadecimal |
0000 |
0 |
0 |
0 |
0001 |
1 |
1 |
1 |
0010 |
2 |
2 |
2 |
0011 |
3 |
3 |
3 |
0100 |
4 |
4 |
4 |
0101 |
5 |
5 |
5 |
0110 |
6 |
6 |
6 |
0111 |
7 |
7 |
7 |
1000 |
10 |
8 |
8 |
1001 |
11 |
9 |
9 |
1010 |
12 |
10 |
A |
1011 |
13 |
11 |
B |
1100 |
14 |
12 |
C |
1101 |
15 |
13 |
D |
1110 |
16 |
14 |
E |
1111 |
17 |
15 |
F |
Advantages of Number System in Computer Organization
Here are the advantages of the number system in computer organization:
- Number systems can help convert one number system to another.
- Using binary or hexadecimal numbers allows computers to process data and perform calculations more quickly and efficiently.
- The binary number system is simple to use, with only two digits, 0 and 1.
Disadvantages of Number System in Computer Organization
Here are the disadvantages of the number system in computer organization:
- Hexadecimal numbers are difficult to read and write, and complex mathematical operations like multiplication and division can be difficult to perform.
- The decimal number system is less suitable for specific applications
- Binary and octal numbers are not easily understandable for humans, requiring conversion to and from more familiar decimal or hexadecimal systems.
Applications of Number Systems in Computer Organization
Here are some applications of number systems in computer organization. They are essential for representing, processing, and communicating data accurately, as well as designing digital systems efficiently.
1. Data Representation
Number systems encode information in computers. Integers, floating-point numbers, and characters are represented using binary, octal, hexadecimal, or ASCII/Unicode, enabling machines to store, process, and exchange data accurately and efficiently.
2. Arithmetic Operations
Binary and other number systems allow computers to perform addition, subtraction, multiplication, and division. These operations are implemented in hardware using logic circuits, ensuring fast, precise, and reliable calculations for all computational tasks.
3. Memory Addressing
Number systems are used to assign unique addresses to memory locations. Hexadecimal simplifies long binary addresses, making it easier for programmers to reference, read, debug, and manipulate data stored in computer memory efficiently.
4. Input/Output Systems
Number systems help computers communicate with humans. Decimal and hexadecimal representations are used in displays, keyboards, and debugging tools, allowing users to input data and interpret outputs conveniently and accurately.
5. Data Transmission
Binary codes and character encoding systems like ASCII or Unicode ensure reliable data transfer between devices. Number systems standardize communication, preventing errors and allowing computers to interpret, process, and display information correctly.
6. Error Detection and Correction
Number systems enable creation of error-detecting and correcting codes, such as parity bits, checksums, and CRC. These codes help identify and fix transmission or storage errors, maintaining data integrity in digital systems.
7. Digital Electronics & Software Development
Number systems underpin logic design, circuit implementation, and software development. Base conversions, binary logic, and encoding methods allow engineers and programmers to design efficient, accurate digital electronics and software applications.
Conclusion
In conclusion, the number systems are the core of the computer to run and hold data. They give the method for machines to read and work with numbers effectively. Whether binary, hexadecimal, octal, or decimal, however the system may be, it is necessary to learn these systems for computer organization students or computer program students.
Crack High-Paying Job Offers by Learning Industry-Relevant Skills While in College!
Explore ProgramFrequently Asked Questions
1. What are the four types of number systems?
The four main types of number systems used in computer organization are:
- Binary (base 2)
- Octal (base 8)
- Decimal (base 10)
- Hexadecimal (base 16)
2. What is the application of the number system?
The application of number systems in computers is crucial for data representation, computation, memory management, and interaction with hardware. Different number systems help optimize storage, increase the speed of operations, and make data more manageable in programming.
3. What is the use of a number system in computers?
The use of a number system by computers is to communicate, store, and compute information so that electronic circuits and processors can interpret. Hexadecimal, binary, and other systems are extremely significant to perform calculations, storage in memory, and communication with software programs. They are basic to basic mathematics to complex algorithms in contemporary computing.