JNTUA B.TECH R 20 2-3 Syllabus For Sensors and internet of things PDF 2022
February 10, 2022 2022-02-10 17:21JNTUA B.TECH R 20 2-3 Syllabus For Sensors and internet of things PDF 2022
JNTUA B.TECH R 20 2-3 Syllabus For Sensors and internet of things PDF 2022
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You will be able to find information about Sensors and internet of things along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding Sensors and internet of things after reading this blog. Sensors and internet of things has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. Sensors and internet of things can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.
All of the Topic and subtopics related to Sensors and internet of things are mentioned below in detail. If you are having a hard time understanding Sensors and internet of things or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.
Sensors and internet of things Unit One
INTRODUCTION
Introduction to Sensors: Sensors, Criteria to choose a Sensor, Generation of Sensors.Optical Sources and Detectors: Electronic and Optical properties of semiconductor as sensors, LED, Semiconductor lasers, Fiber optic sensors, Thermal detectors, Photo multipliers, photoconductive detectors.Strain, Force, Torque and Pressure sensors: Strain gages, strain gagebeam force sensor, piezoelectric force sensor, load cell, torque sensor, Piezo-resistive and capacitive pressure sensor, optoelectronic pressure sensors, vacuum sensors.
Sensors and internet of things Unit Two
TYPES OF SENSORS AND APPLICATIONS
Position, Direction, Displacement, Level sensors Velocity and Acceleration sensors.Temperature sensors: thermoresistive, thermoelectric, semiconductor and optical. Piezoelectric temperature sensor. Wearable Sensors: From fibers to textile sensors -Interlaced network -Textile sensors for physiological state monitoring -Biomechanical sensing –Non-invasive sweat monitoring by textile sensors and other applications. FBG sensor in Intelligent Clothing and Biomechanics.
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Sensors and internet of things Unit Three
INTRODUCTION to ToT
Introduction to Internet of Things: Characteristics of IoT, Design principles of IoT, IoT Architecture and Protocols, Enabling Technologies for IoT, IoT levels and IoT vs M2M.IoT Design Methodology: Design methodology, Challenges in IoT Design, IoT SystemManagement, IoT Servers..Basics of Arduino: Introduction to Arduino, Arduino IDE, Basic Commands for Arduino, Connecting LEDs with Arduino, Connecting LCD with Arduino.
Sensors and internet of things Unit Four
IoT APPLICATION DEVELOPMENT
Basics of Raspberry Pi:Introduction to Raspberry pi, Installation of NOOBS on SD Card, Installation of Raspbian on SD Card, Terminal Commands, Installation of Libraries on Raspberry Pi, Getting the static IP address of Raspberry Pi, Run a Program on Raspberry Pi, Installing theRemote Desktop Server, Pi Camera, Face Recognition using Raspberry Pi, Installation of I2C driver on Raspberry Pi, SPI (serial peripheral interface) with Raspberry Pi, Programming a Raspberry Pi, Play with LED and Raspberry Pi, Reading the digital input, Reading an edge triggered input, Interfacing of Relay with Raspberry Pi, Interfacing of Relay with Raspberry Pi, Interfacing of LCD with Raspberry Pi, Interfacing LCD with Raspberry Pi in I2C mode, Interfacing of DHT11 sensor with Raspberry Pi, Interfacingof ultrasonic sensor with Raspberry Pi, Interfacing of camera with Raspberry pi.
Sensors and internet of things Unit Five
DATA ACQUISTION AND CLOUD
Data Acquisition with Python and Tkinter: Basics-CSV file, Storing Arduino data with CSV file, Plotting random numbers using matplotlib, Plotting real-time from Arduino, Integrating the plots in the Tkinter window.Connecting to the Cloud: Smart IoT Systems, DHT11 Data Logger with ThingSpeak Server, Ultrasonic Sensor Data Logger with ThingSpeak Server, Air Quality Monitoring System and Data Logger with ThingSpeak Server, Landslide Detection and Disaster Management System, Smart Motion Detector and Upload Image to gmail.com.
Sensors and internet of things Course Objectives
•To provide knowledge on Sensor Principles.
•To provide familiarity with different sensors and their application in real life.
•To understand Basics of IoT, and enabling technologies.
•To design IoT applications using Arduino and Raspberry pi.
Sensors and internet of things Course Outcomes
After completion of the course, students will be able to
•Demonstrate knowledge on the characteristics of sensors and principles of IoT.
•Select appropriate sensors for the given application development.
•Design basic IoT Applications using Arduino.
•Design IoT Applications using Raspberry Pi.
•Perform Data Acquisition and analysis using Cloud and Tkinter
Sensors and internet of things Text Books
1.J. Fraden, Handbook of Modern Sensors: Physical, Designs, and Applications, AIP Press, Springer, Fourth Edition, 2010.
2.Rajesh Singh, Anita Gehlot, Lovi Raj Gupta, Bhupendra Singh,Mahendra Swain, Internet of Things with Raspberry Pi and Arduino, CRC Press, 2019.
Sensors and internet of things Reference Books
1.D. Patranabis, Sensors and Transducers, PHI Publication, New Delhi,2003.
2.Jan Holler and Vlasios Tsiatsis, From Machine-to-Machine to the Internet of Things Introduction to a New Age of Intelligence, Elsevier Ltd., 2014.
3.David Hanes and Gonzalo Salgueiro, IoT Fundamentals: Networking Technologies, Protocols, and Use Cases for the Internet of Things, Cisco Press, 2017
Scoring Marks in Sensors and internet of things
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Information about JNTUA B.Tech R 20 Sensors and internet of things was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.
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