Cognitive Radio Architecture MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Cognitive Radio Architecture, a fundamental topic in the field of Cognitive Radio. Whether you're preparing for competitive exams, honing your problem-solving skills, or simply looking to enhance your abilities in this field, our Cognitive Radio Architecture MCQs are designed to help you grasp the core concepts and excel in solving problems.

In this section, you'll find a wide range of Cognitive Radio Architecture mcq questions that explore various aspects of Cognitive Radio Architecture problems. Each MCQ is crafted to challenge your understanding of Cognitive Radio Architecture principles, enabling you to refine your problem-solving techniques. Whether you're a student aiming to ace Cognitive Radio tests, a job seeker preparing for interviews, or someone simply interested in sharpening their skills, our Cognitive Radio Architecture MCQs are your pathway to success in mastering this essential Cognitive Radio topic.

Note: Each of the following question comes with multiple answer choices. Select the most appropriate option and test your understanding of Cognitive Radio Architecture. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

So, are you ready to put your Cognitive Radio Architecture knowledge to the test? Let's get started with our carefully curated MCQs!

Cognitive Radio Architecture MCQs | Page 8 of 15

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Q71.
Which among the following is obtained by collection of atomic symbols?

a.

Aggregated sequence

b.

Atomic sequence

c.

Primitive sequence

d.

Primary sequence

Discuss
Answer: (c).Primitive sequence Explanation:Primitive sequence is formed by assembling similar atomic symbols in a coherent manner. Primitive sequences generally have spatial or temporal likeliness which is visible and can be identified from a heap of information.
Q72.
Which is the primitive sequence equivalent of text?

a.

Sentence

b.

Paragraph

c.

Word

d.

Character

Discuss
Answer: (c).Word Explanation:Primitive sequence is formed by assembling similar atomic symbols in a coherent manner. Words that compose a text, tokens that form speech in a speech composer, and objects that form an image are examples of primitive sequence in their respective domains.
Q73.
What is the capability of a basic sequence?

a.

Communicate message with meaning

b.

Construct a word

c.

Identify useful information from data

d.

Collect data

Discuss
Answer: (a).Communicate message with meaning Explanation:Basic sequence can deliver messages with meaning. These messages are defined using the ontology made available by primitive sequence. For example, a phrase (basic sequence) is constructed using words (primitive sequence).
Q74.
What is the visual information equivalent of a basic sequence?

a.

Blob

b.

Object

c.

Image

d.

Video clip

Discuss
Answer: (d).Video clip Explanation:Primitive sequence is succeeded by basic sequence. Context can be drawn from the information offered by a basic sequence. Phrases composed of words and video clip composed of images are examples of basic sequences.
Q75.
Which among the following is concerned with syntax and semantics of information?

a.

Sequence cluster

b.

Basic sequence

c.

Primitive sequence

d.

Atomic symbols

Discuss
Answer: (a).Sequence cluster Explanation:Sequence clusters are developed on the basis of shared properties. Knowledge discovery and data mining (KDD) and the semantic web provide various means for defining or determining sequence clusters from basic and primitive sequence.
Q76.
What is degree of association required for context cluster?

a.

Space-Time association

b.

Time-Frequency

c.

Frequency-Time association

d.

Space-Time-Frequency association

Discuss
Answer: (d).Space-Time-Frequency association Explanation:Context cluster is developed by space-time-frequency association on a multidimensional level. It is accomplished by using unsupervised machined learning using statistical or non-linear methods.
Q77.
Which among the following is a non-linear machine learning techniques?

a.

Linear regression

b.

Logistic regression

c.

Discriminant analysis

d.

Support vector machines

Discuss
Answer: (d).Support vector machines Explanation:Support vector machine is a supervised machine learning algorithm. It consists of learning algorithms that study data related to classification and regression analysis. It is typically used for creating context clusters in inference hierarchy.
Q78.
The identification of “baseball” from words such as “hit”, “pitch”, and “run” is possible only by the functionality level of context cluster.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (b).False Explanation:Sequence cluster is capable of determining themes from basic sequences that share similar characteristics. The capability of context cluster is to comprehend a discussion on baseball and draw conclusions based on the actions of the user.
Q79.
What is the minimum requirement for taxonomy on radio knowledge?

a.

Speed

b.

Approximate models

c.

Abstraction

d.

Polymorphism

Discuss
Answer: (c).Abstraction Explanation:Abstraction includes the construction of formal and informal models of meta- knowledge ranging from concepts to structured mathematical models of space, time, and frequency. Taxonomy requires a hierarchical model capturing the physical world as well as the internal structure radio.
Q80.
Which among the following may be used for processing speech channels?

a.

Symbol processing

b.

Natural Language processing

c.

Speech synthesiser

d.

Text synthesiser

Discuss
Answer: (b).Natural Language processing Explanation:Speech channels may be processed by using natural language processing facilities that have significant a priori models of language and discourse. Natural language processing is generally embedded in the inference hierarchy of cognitive radio.
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