Network Computing, IoT, Machine Learning, VR and Smart Assistants Flashcards

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Flashcards about Network Computing, IoT, Machine Learning, VR and Smart Assistants.

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35 Terms

1
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What is the Internet of Things (IoT)?

A network of interconnected things embedded with sensors, software, and network connectivity that enables them to collect/exchange data, making them responsive.

2
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What are the layers of loT architecture?

Perception Layer, Transport Layer, Processing Layer, and Application Layer, Business Layer.

3
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What are the common sensors found in smartphones?

Camera, microphone, magnetometer, GPS, pedometer, proximity sensor, accelerometer, gyroscope, light sensor, thermometer, and fingerprint sensor.

4
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Name some applications of IoT in smart cities.

Smart parking, structural health monitoring, noise urban maps, smartphone detection, electromagnetic field levels, traffic congestion monitoring, smart lighting, waste management, and smart roads.

5
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List some smart home applications of IoT.

Amazon's Alexa, Google Home, Apple Home, Danalock Bluetooth Z-lock, MyQ Garage & Access Control, and Philips Hue.

6
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Give examples of smart healthcare applications of IoT.

Continuous Glucose Monitor (CGM), smart insulin pens, ingestible sensors, autobed, smart bottles, and connected inhalers.

7
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Name some smart agriculture applications of IoT.

Precision farming, livestock monitoring, computer imaging, climate condition monitoring, agricultural drones, and smart greenhouses.

8
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What are some advantages of IoT?

Automation, efficiency, cost savings, communication, and instant data access.

9
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What are the disadvantages of IoT?

Privacy and security concerns, compatibility issues, complexity, potential job losses, and technological dependency.

10
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What is Machine Learning (ML)?

An approach to data analysis that involves building and adapting models, which allow programs to 'learn' through experience to improve their ability to make predictions.

11
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Name the three types of Machine Learning models.

Supervised Learning, Unsupervised Learning, and Reinforcement Learning.

12
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What are some applications of Machine Learning?

Traffic prediction, search engines, medical diagnosis, banking & finance, and image recognition.

13
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What are the advantages of machine learning?

Identification of trends and patterns, no human interference, continuous improvement, and wide application.

14
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What are the disadvantages of machine learning?

Data acquisition challenges, time and resource intensive processes and the need for output interpretation.

15
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What is Cognitive Computing?

A branch of artificial intelligence (AI) that aims to replicate human thought processes in a computerized model involving understanding, learning, reasoning, and human interaction.

16
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What are the steps in cognitive computing workflow?

Data ingestion, data processing, model training, analysis and interpretation, reasoning and decision making, and interaction and feedback.

17
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What is microservice architecture?

An application development methodology where large applications are divided into small, independent service units.

18
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Name some features of microservices?

Decoupling, Componentization, Business capabilities, Autonomy, Continuous delivery, Responsibility, Decentralized governance and Agility.

19
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Advantages of Microservices

Quicker to build and deploy, flexible, easy scaling, fast and less expensive development.

20
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What are the disadvantages of microservices?

Can be less stable, less secure, difficult to transition to.

21
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What is Virtual Reality (VR)?

The use of computer technology to create a simulated environment, immersing users in 3D worlds where they can interact.

22
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What are applications of VR?

Military training, education, healthcare, entertainment, fashion, heritage, business, engineering, sport, media, scientific visualization, telecommunications, construction, and film.

23
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What are the advantages of VR?

Real-time educational experience, opens new places to explore the world, opens world of entertainment, engagement and interaction.

24
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What are the disadvantages of VR?

VR isolates you in real life, VR might cause eye strain, Limited educational flexibility, VR is addictive like drug.

25
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What is Augmented Reality (AR)?

A technology that superimposes a computer-generated image on a user's view of the real world, thus providing a composite view also enhances real world experiences.

26
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What are some example AR apps?

Snapchat lenses, parking apps, Pokemon Go, and IKEA Place.

27
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List the different types of Augmented Reality

Marker-based AR, Markerless AR, Location-based AR, Superimposition AR, Projection-based AR, Outlining AR

28
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What are the advantages of Augmented Reality?

Enhanced experience, ease of use, social interaction, and improvement of learning and practice.

29
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What are the disadvantages of Augmented Reality?

Can be expensive, leads to accidental situations, addiction and psychological effects

30
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What is a Smart Personal Assistant (SPA)?

A software application that uses artificial intelligence (AI) and natural language processing (NLP) to provide personalized assistance to users via voice commands, text inputs, or interaction.

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What are the key features of Smart Personal Assistants?

Natural Language Understanding (NLU), Voice Recognition, Personalization, Integration with Services, Task Automation, Context Awareness, and Search and Information Retrieval.

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What functionalities do Smart Personal Assistants provide?

CALENDAR & MEETING REMINDER, AUTOMATION, NATURAL CONVERSATION, RECOMENDING

33
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Name some popular applications of Personal Assistants

Google Assistant, Microsoft Cortana, Siri, Alexa, Bixby

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List the advantages of Smart Personal Assistants

Easy accessibility to software, allows automation of repetitive tasks, and improves effectiveness and efficiency.

35
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List some of the disadvantages of Smart Personal Assistants

Queries can be misinterpreted, only specific sentences can be used, limited resources and databases leads to quality reduction.