Question Paper Name: 5273 Components and Applications of Internet of Things 30th June 2019 Shift 1
Subject Name: Components and Applications of Internet of Things
Creation Date: 2019-06-30 18:16:53
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Duration: 180
Total Marks: 100
Display Marks: Yes
Components and Applications of Internet of Things
Group Number : 1
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Group Id : 489994197
Group Maximum Duration : 0
Group Minimum Duration : 120
Revisit allowed for view?: No
Revisit allowed for edit?: No
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Break time: 0
Group Marks: 100
Components and Applications of Internet of Things
Section Id : 489994253
Section Number : 1
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Section type : Online
Mandatory or Optional: Mandatory
Number of Questions: 100
Number of Questions to be attempted: 100
Section Marks: 100
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Display Number Panel: Yes
Group All Questions: No
Sub-Section Number: 1
Sub-Section Id: 489994273
Question Shuffling Allowed : Yes
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Question Number : 1 Question Type : MCQ Option Shuffling: No Display Question Number: Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
In which of the following applications can we use deep learning to solve the problem?
(a) Image classifications
(b) Protein structure prediction
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(c) Detection of exotic particles
(d) All of the above
Options:
1.1
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Question Number: 2 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
Statement 1: It is possible to train a network well by initializing all the weights as 0. Statement 2: It is possible to train a network well by initializing biases as 0. Which of the statements given above is true?
(a) Statement 1 is true and Statement 2 is false
(b) Statement 1 is false and Statement 2 is true
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(c) Both are true
(d) Both are false
Options:
1.1
2.2
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3.3
4.4
Question Number : 3 Question Type : MCQ Option Shuffling: No Display Question Number: Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
The number of nodes in the input layer is 20 and the hidden layer is 5. The maximum number of connections from the input layer to the hidden layer are
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(a) 25
(b) 50
(c) 100
(d) 200
Options:
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1.1
2.2
3.3
4.4
Question Number : 4 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
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Correct Marks: 1 Wrong Marks : 0
Which one of the following is a Keras model that provides linear stack of layers?
(a) Dense (b) Sequential (c) Keras functional API (d) Initializer
Options:
1.1
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2.2
3.3
4.4
Question Number: 5 Question Type : MCQ Option Shuffling: No Display Question Number: Yes Single Line Question Option : No Option Orientation : Vertical
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Correct Marks : 1 Wrong Marks : 0
To obtain the list of weights of the layer layer, which of the following function should be used?
(a) layer.weights()
(b) layer.get_weights()
(c) layer.set_weights(weights)
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(d) layer.input()
Options:
1.1
2.2
3.3
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4.4
Question Number: 6 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks: 1 Wrong Marks : 0
Which one of the following is a compulsory parameter for any dense layer in Keras?
(a) input shape (b) use_bias (c) output shape (d) kernel_initializer
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Options:
1.1
2.2
3.3
4.4
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Question Number: 7 Question Type: MCQ Option Shuffling : No Display Question Number: Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
Which of the following is the default activation function for the dense layers in Keras?
(a) softmax (b) selu (c) linear (d) relu
Options:
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1.1
2.2
3.3
4.4
Question Number : 8 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
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Correct Marks : 1 Wrong Marks : 0
A dropout layer is used to
(a) introduce non-linearity
(b) prevent overfitting
(c) to flatten the input
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(d) to reshape the input
Options:
1.1
2.2
3.3
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Question Number : 9 Question Type : MCQ Option Shuffling: No Display Question Number: Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks: 1 Wrong Marks : 0
Compile() method is used to
(a) define model architecture
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(b) parameter tuning
(c) configure learning process
(d) evaluation of the model
Options:
1.1
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2.2
3.3
4.4
Question Number : 10 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
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Which of the following parameter specifies the number of times model sees the whole training data?
(a) loss (b) epochs (c) batch size (d) verbose
Options:
1.1
2.2
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3.3
4.4
Question Number: 11 Question Type: MCQ Option Shuffling: No Display Question Number: Yes Single Line Question Option: No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
Which of the following parameter specifies the number of training samples which are seen before updating the weights.
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(a) loss (b) epochs (c) batch size (d) verbose
Options:
1.1
2.2
3.3
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4.4
Question Number : 12 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
Which one of the following performs the training/parameter tuning in Keras?
(a) firstranker.compile()
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(b) model.fit()
(c) model.evaluate()
(d) model.summary()
Options:
1.1
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Question Number: 13 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
Which one of the following is the compulsory parameter for defining Conv2D() layer in Keras?
(a) kernel_size (b) strides (c) activation (d) data_format
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Options:
1.1
2.2
3.3
4.4
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Question Number : 14 Question Type : MCQ Option Shuffling: No Display Question Number: Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks: 1 Wrong Marks : 0
What is the default stride for Conv2D() layer in Keras?
(a) (1,1) (b) (1,2) (c) (2,1) (d) (2,2)
Options:
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1.1
2.2
3.3
4.4
Question Number: 15 Question Type : MCQ Option Shuffling : No Display Question Number: Yes Single Line Question Option : No Option Orientation : Vertical
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Correct Marks : 1 Wrong Marks : 0
Which one of the following is the default value for the parameter padding for Conv2D() layer in Keras?
(a)False (b)True (c) same (d) valid
Options:
1.1
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2.2
3.3
4.4
Question Number : 16 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks: 1 Wrong Marks : 0
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An ultrasonic sensor is
(a) Active sensor (b) Passive sensor (c) Both (d) Neither active nor passive
Options:
1.1
2.2
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Question Number : 17 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
Assume that there are four possible states (s1, s2, s3, and s4) that a robot can occupy. What is the probability that the robot occupies the state s1? Assume a uniform belief.
(a) 1
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(b) 0
(c) 0.25
(d) Information is insufficient to determine the probability
Options:
1.1
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2.2
3.3
4.4
Sub-Section Number: 2
Sub-Section Id: 489994274
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Question Shuffling Allowed : Yes
Question Number: 18 Question Type : MSQ Option Shuffling : No Display Question Number: Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
Which of the below is/are true in the context of object grasping technology as facilitated by IoRT?
(a) Objects and devices can be self-describing and can provide information about themselves to the robots
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(b) Cloud based servers can serve as a repository for object model descriptors
(c) Remote servers can be a source for computationally complex, distributed processing
(d) Heavier objects can be grasped
Options:
1.1
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2.2
3.3
4.4
Sub-Section Number:
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Sub-Section Id: 489994275
Question Number : 19 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
The key difference(s) between robotic things in IoRT compared to the things in IoT
(a) The robotic things are more efficient unlike the things in IoT
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(b) The robotic things can directly move other things physically unlike the things in IoT
(c) The robotic things are more secure unlike the things in IoT
(d) The robotic things are can communicate better compared to the things in IoT
Options:
1.1
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2.2
3.3
4.4
Sub-Section Number: 4
Sub-Section Id: 489994276
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Question Shuffling Allowed : Yes
Question Number : 20 Question Type : MSQ Option Shuffling: No Display Number: Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks: 1 Wrong Marks : 0
Which of the following is/are enabled by IoRT over conventional robots
(a) Communication between geographically separated humans and robots
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(b) Increased payload capacity
(c) Reduced power consumption
(d) Distributed localization and object recognition
Options:
1.1
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2.2
3.3
4.4
Sub-Section Number: 5
Sub-Section Id: 489994277
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Question Shuffling Allowed : Yes
Question Number : 21 Question Type : MCQ Option Shuffling: No Display Question Number: Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
Is viewed as a function of the unknown parameter (with x fixed), it is called the
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(a) likelihood function
(b) cumulative distribution function
(c) log-likelihood function
(d) probability mass function
Options:
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1.1
2.2
3.3
4.4
Question Number : 22 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
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Correct Marks : 1 Wrong Marks : 0
The CRLB for the fisher information matrix A = [a1 a2]T, where al = [5 4] and a2 = [-3 1] and T denotes transpose of a matrix, is
(a) 0.352942
(b) 0.058824
(c) -0.058824
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(d) 0.235295
Options:
1.1
2.2
3.3
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4.4
Question Number: 23 Question Type : MCQ Option Shuffling : No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
The Galvanic skin response sensor records the
(a) Intensity of human emotional state
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(b) Health condition of muscles
(c) Electrical signals from the heart
(d) Breathing rate
Options:
1.1
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2.2
3.3
4.4
Question Number : 24 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks: 1 Wrong Marks : 0
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ire suite for real-time piosignals visualisation in Biosignal plux kit is
(a) MySignal
(b) OpenSignals
(c) MixSignals
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(d) None of these
Options:
1.1
2.2
3.3
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4.4
Question Number : 25 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
Which of the following is the main spike visible on an ECG line
(a) P
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(b) ST
(c) QRS
(d) PQ
Options:
1.1
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2.2
3.3
4.4
Question Number: 26 Question Type : MCQ Option Shuffling: No Display Question Number: Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks: 1 Wrong Marks : 0
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The sensor node in smart agriculture kit to integrate multiple sensors is called
(a) Wardmote
(b) Waspmote
(c) Sensonode
(d) Meshlium
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Options:
1.1
2.2
3.3
4.4
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Question Number : 27 Question Type : MCQ Option Shuffling : No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks: 1 Wrong Marks : 0
ter is less than the order of polynomial measurement
signal, the filter estimate will
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(a) Converge
(b) Give exact solution
(c) Diverge
(d) None of these
Options:
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1.1
2.2
3.3
4.4
Question Number: 28 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
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Correct Marks : 1 Wrong Marks : 0
Which of the following methods is based on weighted least squares in which previous values taken in account for determining the future value?
(a) Bayesian method
(b) Recursive Least Square method
(c) Kalman filter method
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(d) None of these
Options:
1.1
2.2
3.3
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4.4
Question Number : : 29 Question Type : MCQ Option Shuffling : No Display Question Number: Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks: 1 Wrong Marks : 0
A set of recursive equations to find the optimal gain at each time step is called
(a) Adaptive least square equations
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(b) Riccati Equations
(c) Gauss Equations
(d) Kalman Equations
Options:
1.1
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2.2
3.3
4.4
Question Number : 30 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
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random variable and a and b are the constants, the variance of ax + b is
(a) aVar(X)
(b) aVar(X) + b
(c) a² Var(X) + b
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(d) None of these
Options:
1.1
2.2
3.3
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4.4
Question Number: 31 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
If X is the random variable and a and b are the constants, the expectation of aX+ b is
(a) aE(X)
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(b) aE(X) + b
(c) a² E(X) + b
(d) None of these
Options:
1.1
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2.2
3.3
4.4
Question Number : 32 Question Type : MCQ Option Shuffling : No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
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The zero-mean and unity-mean features in localization are used to handle
(a) Device diversity
(b) Huge volume of data
(c) Uncertainty of measurements
(d) None of these
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Options:
1.1
2.2
3.3
4.4
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Question Number : 33 Question Type : MCQ Option Shuffling : No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
here?und ound should be x than Mean Square Error. What is x
(a) Equal
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(b) Lower
(c) Higher
(d) None of these
Options:
1.1
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2.2
3.3
4.4
Question Number : 34 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
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If the standard deviation of localization error for Localization Methods A and B are 1 m and 1.5 m, respectively. Which method is good?
(a) A
(b) B
(c) Both are same
(d) None of these
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Options:
1.1
2.2
3.3
4.4
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Question Number: 35 Question Type : MCQ Option Shuffling : No Display Question Number: Yes Single Line Question Option: No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
In Kalman Filter, the measurement and process noise are
(a) Cannot be related
(b) Same
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(c) Different
(d) None of these
Options:
1.1
2.2
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3.3
4.4
Question Number : 36 Question Type : MCQ Option Shuffling : No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
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rtiary control in a nanogrid consists of
(a) Optimization
(b) Voltage control
(c) MPPT
(d) All of the above
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Options:
1.1
2.2
3.3
4.4
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Question Number : 37 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
The Internet of Things (IoT) paradigm refers as
(a) network of interconnected things
(b) Devices such as sensors and/or actuators, equipped with a telecommunication interface
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(c) Processing and storage units
(d) All of the above
Options:
1.1
2.2
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3.3
4.4
Question Number : 38 Question Type : MCQ Option Shuffling : No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
Correct Marks : 1 Wrong Marks : 0
What is multihop short-range transmission technologies?
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(a) Bluetooth
(b) 6LoWPAN
(c) Both (a) & (b)
(d) None of the above
Options:
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1.1
2.2
3.3
4.4
Question Number : 39 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation : Vertical
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Correct Marks : 1 Wrong Marks : 0
routing generally yields
(a) long communication delays
(b) unequal energy consumption
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(c) unpredictable energy consumption among the devices
(d) All of the above
Options:
1.1
2.2
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3.3
4.4
Question Number: 40 Question Type : MCQ Option Shuffling: No Display Question Number : Yes Single Line Question Option : No Option Orientation :
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