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 10 of 15

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Q91.
A white space may act as a boundary to derive primitive sequence.
Discuss
Answer: (a).True Explanation:When aggregated data is available, primitive sequence may be derived by selecting an atomic symbol as a boundary. In a text based system, a white space is regarded as a boundary for generating primitive sequence. For example, white spaces are employed to separate words in text.
Q92.
What application is supported by IBM research tool XTAG?
Discuss
Answer: (b).Natural Language Processing Explanation:An XTAG system is a grammar development tool based on Tree Adjoining Grammar (TAG). It consists of a parser, an X-window grammar development interface, and a morphological analyser. Other tools include SNeps , AGFL, and PC KIMMO which may be employed for natural language processing.
Q93.
How does the cognitive radio access the a priori models?
Discuss
Answer: (d).Mappings Explanation:The cognitive radio access the a priori models using mappings that exist between the word, phrase, dialog, and scene levels of the observation phase hierarchy and the encapsulated speech components.
Discuss
Answer: (d).Architecture map represents cognition functions implemented using cognition components Explanation:Architecture map represents cognition functions implemented using cognition components. It consists of data structures, processes, and flows which are represented using topological maps over abstract domains.
Q95.
Why should a cognitive radio be capable of differentiating β€œUser” and β€œThings” entities?
Discuss
Answer: (b).To offer different levels of priority Explanation:The architecture model builds an environment consisting of world, cognitive radio, and a world model within the cognitive radio. The world is composed of entities such as user, home network, people, things, networks, etc. The cognitive radio must be capable differentiating these entities to respond in accordance to pre-determined priority levels.
Discuss
Answer: (d).The known sequence refers to integrated knowledge of the cognitive radio Explanation:The known sequence corresponds to context cluster sequence of the inference hierarchy. The known sequence refers to the integrated knowledge present in the cognitive behaviour model of cognitive radio.
Discuss
Answer: (a).Radio Knowledge Representation Language frames Explanation:Known sequence describes the integrated knowledge of cognitive radio. The known sequence is developed by embedding Radio Knowledge Representation Language (RKRL) frames in the cognitive radio. It is also possible to develop known sequence through independent machine learning.
Discuss
Answer: (c).Novel sequence describes the current stimulus-response of cognitive radio Explanation:Novel sequence corresponds to the content cluster level of inference hierarchy. It describes the current stimulus-response unit of cognitive behaviour model. The highest level of sequence unit β€œScenes” is composed of known sequence and novel sequence.
Q99.
Which among the following is a data structure included in the architecture map in addition to the general structure of cognition cycle?
Discuss
Answer: (b).Dialog state Explanation:The cognitive radio section of the architecture map is composed of sequences of inference hierarchy, world model composed of bindings between a-priori data structures and the current scene, and phases of cognition. Dialog states, action requests, plans, and action are additional data structures added to support the phases of cognition cycle.
Q100.
Which among the following is not a part context section of a RKRL frame?
Discuss
Answer: (d).Stimulus Explanation:The cognition functions and phases are represented using data structures. The data structures are mapped to RKRL frames which are made up of handle, model, body, resources, and context. The handle may correspond to a set or a stimulus. The body may correspond to a subset or a response. The context may correspond to a URL, source, time or location.