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WorksheetsTechnology of Industry 4.0
Total questions: 20
Worksheet time: 13mins
The objective of pervasive computing are as follows, except:
to create a sensor network capable of collecting, processing, and sending data, and ultimately, communicating as a means to adapt to the data’s context and activity
to connect the device to an infinite network of other devices.
to create an environment where the connectivity of devices is embedded in such a way that the connectivity is unobtrusive and always available
to make a device "smart"
These characterize the distributed system, except:
Mobile networking
Remote communication
Fault tolerance
Distributed security
These charaterize mobile computing, except:
Smart space
Fault tolerance
Invisibilitty
Localized scalability
Three waves of computing include all of these things, but:
Desktop computing
Mainframe computing
Mobile computing
Pervasive computing
Ubiquitous computing components include these, except:
Service Directory (SD)
User Agent (UA)
Cloud Computing (CC)
Mobile User (mobUser)
Related to development and dependencies in pervasive computing, here is the enabling technologies of pervasive computing
Adhoc networking
System on chip
Advanced context sensitivy
Human-centric communication
Related to development and dependencies in pervasive computing, standard as one of determining factors will influence...
Miniaturisation
Profiling
Distributed system
Human-machine interface
Related to development and dependencies in pervasive computing, basic concept sensitivity will be influenced by...
Miniaturisation
Distributed system
Profiling and System on chip
AI and Software agent
No. 9 in the figure represents the application of pervasive computing in ...
Wireless communication
Autonomous robot sweeper
Smart building materials
Street light senses food and motor traffic areas
No. 13 represents the application of pervasive computing in ...
Embedded automobile devices
Smart cement detects earthquake activity
Bridge deck erected with smart building materials
Smart building materials
These categories define Artificial Intelligence, except...
Thinking rationally
Acting humanly
Acting rationally
Thinking logically
B and C represent .... and .... respectively.
Sensors and actuators
Actuators and actions
Percepts and actions
Sensors and percepts
How would Mathematics contribute to AI?
To understand what the formal rules to draw valid conclusions are
To understand how we should make decisions so as to maximize payoff
To understand how brains process information
To understand how artifacts can operate under their own control
This explanation explain what machine learning is
Algorithms that permit software to train itself to perform tasks, like speech and image recognition, by exposing multilayered neural networks to vast amount of data
Abstruse statistical techniques that enable machines to improve at tasks with experience
Techniques that enable computers to mimic human intelligence, using logic, if-then rules, decision trees
None of the answers
Application of machine learning for detecting unusual credit transactions is categorized into:
Recognizing patters
Generating patterns
Predictions
Recognizing anomalies
The value of Precision, Recall and Accuracy of the confusion matrix are:
Precision = 0.91;
Recall = 0.81;
Accuracy = 0.90
Precision = 0.81;
Recall = 0.91;
Accuracy = 0.90
Precision = 0.90;
Recall = 0.81;
Accuracy = 0.91
Precision = 0.90;
Recall = 0.91;
Accuracy = 0.81
In machine learning, when you provide training data plus a few desired output, the type of learning here is
supervised learning
unsupervised learning
semi-supervised learning
reinforcement learning
Regression is categorized as
supervised learning
unsupervised learning
semi-supervised learning
reinforcement learning
BCG in its article of "Strengthening the Steel Industry with AI", suggest the step of "Initiate the snowball effect to increase ROI and fund future investment as the step number:
1
2
3
4
McKinsey in its article of "Preparing for the next normal via digital manufacturing's scaling potential" posited that "digital transformation at a site should address a comprehensive set of capabilities and follow a structured process" as part of the principle as follows:
Focus on business value
Transform through an integrated approach
Create capabilities for deployment
Scale deployment, capabilites, and technology
