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Redundancy means the repetation of data.

There are 2 types of redundancy in image processing:

1. Global

Its caused by similar patterns being repeated over the image.

2. Local

If the neighboring pixels do not change abruptly, but change gradually in their values.

ANSWER : it does not pertain to data but circuits and whole systems if one fail a redundant system will continue to work. see reliability.

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βˆ™ 15y ago
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βˆ™ 6mo ago

There are three main types of redundancy: hardware redundancy, software redundancy, and information redundancy. Hardware redundancy involves duplicating components to ensure continued operation in case of failure. Software redundancy involves using multiple software modules to perform the same function for fault tolerance. Information redundancy involves storing multiple copies of the same information for backup purposes.

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Q: What are the types of redundancy?
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What is the difference between controlled redundancy and uncontrolled redundancy?

Controlled redundancy refers to intentionally duplicating certain components in a system to ensure reliability and fault tolerance, whereas uncontrolled redundancy occurs unintentionally due to inefficient processes or lack of coordination. Controlled redundancy is planned and managed to enhance system performance, while uncontrolled redundancy can lead to inefficiencies and waste of resources.


What is the difference between redundancy and duplication?

Redundancy refers to the inclusion of extra components to ensure system reliability, while duplication involves creating an exact copy of something. Redundancy can help prevent system failure by providing backup options, while duplication involves replicating data or information for various purposes.


What is Data redundancy in DBMS?

Data redundancy in DBMS refers to the duplication of data within a database system. This can result in inconsistencies and inefficiencies, as well as consuming more storage space. It is important to minimize data redundancy in order to maintain data integrity and improve performance.


What is data redundancy?

Data redundancy refers to the unnecessary duplication of data in a database or system. It can cause inefficiencies, make updates more difficult, and increase storage requirements. Data redundancy can be minimized through normalization techniques in database design.


Redundancy control in databases?

Redundancy control in databases involves minimizing duplicate data storage to improve efficiency and reduce potential inconsistencies. Techniques such as normalization, using primary keys, and enforcing constraints like unique constraints help prevent redundancy by structuring and managing data effectively. Eliminating redundancy can enhance data integrity, improve query performance, and simplify data maintenance in database systems.

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What is the difference between controlled redundancy and uncontrolled redundancy?

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How can a primary key be useful in controlling data redundancy?

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What are the two basic requirements for communications within an EOC?

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What is oxymoronic redundancy?

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Which redundancy technique is best fulfilled by a thorough and periodic backup strategy?

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Disadvantage of redundancy?

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Storing the same data in more than one place is called?

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