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Escoge February Edition
Welcome to your Escoge 9th Edition
Email
Name
College/Industry name
Contact number
IEEE Member
1.
Full form of DNN
Dual Natured Networks
Data neural networks
Deep neural networks
Deep navigation Networks
2.
Full form of JSCC is
Joint social coding conference
Joint Source channel Coding
Joint Source Channel Communications
Joint security coding channel
3.
Modern machine learning techniques have made advances in area such as
machine vision
robotics
Natural Language Processing
All of the above
4.
A unique ……………… signal can be generated using oscillators or through a memory combined with a digital-to-analog convertor.
RF
Microwave
UV
All of these
5.
What is the frequency range of the mmWave spectrum
20-200GHz
80-700GHz
24-100GHz
30-300GHz
6.
Edge intelligence is a type of
Machine learning
Robotics
Communication engineering
Artificial intelligence
7.
__________ Source coding can significantly reduce the consumption and decrease the loss function value.
Homogeneous
Heterogeneous
Schematic
None of these
8.
Which of the following is not the component of a CFL algorithm
Local FL model Transmission
Global FL model Transmission
Collaborative federative learning
Global FL model Aggregation
9.
RIS is one option which can collect wireless signals from a transmitter and passively beamform them toward the receiver. What is the full form of RIS?
Reconfigurable intelligent surface
Reconfigurable information surface
Reconfigurable information system
Reconfigurable intelligent system
10.
Alternative MIMO systems called ………………….. facilitate the deployment of massive MIMO configuration
SMTs
MMTs
OMTIs
None of these
11.
.(SSK), (TCSM), (O-QPSK), (GSM), (QSM),(QSSK) ,(ASK),(FSK),(STSK), Which of the above mentioned are not a space modulation technique?
SSK,QSSK,FSK
TCSM,ASK,STSK
ASK,QSSK,SSK
O-QPSK,ASK,FSK
12.
The total radio spectrum is _______ times the bandwidth of visible light spectrum
1000 times
100 times
10 times
25times
13.
Measure of spectral purity of the laser output
Noise margin
Figure of merit
Noise immunity
Phase noise
14.
In a ________, the transmitter and the receiver essentially operate in a time-duplexed manner, and hence a high dynamic range can be attained.
FMCW radar
Pulsed radar
Doppler radar
Passive radar
15.
Following points are related to ____?
● Seamless integration of AI, communication network
● QoE guarantee with self-adaptation and self-learning capability
● A hyper-flexible architecture that brings human-like intelligence into every aspect of networking systems
Cloud based AI
AI enhanced functions
Edge native AI
Responsible AI
16.
What is fog learning?
technique to help address design problems
paradigm for training ML models
different network layers
high speed data process
17.
What is the ML model generated by the base station called?
Local FL model
FL model
Global FL model
All the above
18.
Machine learning finds a wide range of applications in wireless networks , which of the following is a part of it
Data analytics
Artificial intelligence
Joint Source Channel coding
none of the above
19.
Multi-Layer Network Architecture is similar to
conventional Federated Learning
Machine Learning
Hybrid Learning
Horizontal Communication
20.
Which of the following are not the key innovation of the fog learning
Establishing multi stage hierarchical machine learning through space
employing agile network aware management of heterogeneous nodes and channels
distributing task processing based on multi objective network
Block based learning
5 out of 4
niranjan
0
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