IIoT PROGRAMS

IIoT PROGRAMS

DEPARTMENT PROGRAM
IOT PLATFORM IOT BASIC INTRODUCTION
GENERATOR MONITORING SYSTEM COMMUNICATION & STANDARD INTERFACES
SMART INDUSTRIAL CONNECTITY
SMART PUBLIC TRANSPORT DATA SCIENCE AND ANALYTICS
SMART MANUFACTURING MACHINE LEARNING
SMART CITY ARTIFICIAL INTELLIGENCES
MAJOR PROJECT IN EACH PROGRAM

1. IoT BASIC INTRODUCTION

OBJECTIVES

  • To learn the concepts of IOT.
  • To identify the different technology.
  • To learn different applications in IOT.
  • To learn different protocols used in IOT.
  • To learn the concepts of smart city development in IOT.
  • To learn how to analysis the data in IOT

OUTCOMES

  • Apply the concepts of IOT.
  • Identify the different technology.
  • Apply IOT to different applications using Thingworx.
  • Analysis and evaluate protocols used in IOT.
  • Design and develop smart things in IOT using Thingworx.
  • Analysis and evaluate the data received through sensors in IOT.

SCOPE

  • IIOT Designer,
  • IIOT Developer,
  • IIOT Analyst,
  • IIOT Tester
  • Entrepreneurship

PROJECTS

  • Develop mini IoT Project
  • LDR based Darkness activation system
  • Home Security Alarm System Using Arduino
  • Arduino Alarm Clock
  • Portable Ultrasonic Range Meter

2. COMMUNICATION & STANDARD INTERFACES

OBJECTIVES

  • Address the real world problems and find the required solution.
  • Design the problem solution as per the requirement analysis done.
  • Study the basic concepts of programming/ hardware/ emulator for Raspberry pi/Arduino.
  • Fabricate and implement the mini project intended solution for project based learning.
  • Build and test the mini project successfully.
  • Improve the team building, communication and management skills of the students.

OUTCOMES

  • Identify the requirements for the real world problems.
  • Building Mashup and Widgets using Thingworx.
  • Study and enhance software/ hardware skills.
  • Demonstrate and build the project successfully by hardware requirements, coding, emulating and testing.
  • To report and present the findings of the study conducted in the preferred task.
  • Demonstrate an ability to work in teams and manage the conduct of the research study

SCOPE

  • IIOT Designer,
  • IIOT Developer,
  • IIOT Analyst,
  • IIOT Tester
  • Entrepreneurship

PROJECTS

  • Smart Dustbin based
  • Obstacle Avoiding Robot
  • Keypad Security for Home Automation

3. SMART INDUSTRIAL CONNECTIVITY

OBJECTIVES

  • To gain knowledge of installing Android Studio and Cross Platform Integrated Development Environment.
  • To learn designing of User Interface and Layouts for Android App.
  • To learn how to use intents to broadcast data within and between Applications.
  • To use Content providers and Handle Databases using SQLite.
  • To introduce Android APIs for Camera and Music system.
  • To discuss various security issues with Android Platform.

OUTCOMES

  • Experiment on Integrated Development Environment for Android Application Development.
  • Design and Implement User Interfaces and Layouts of Android App.
  • Use Intents for activity and broadcasting data in Android App.
  • Design and Implement Database Application and Content Providers.
  • Experiment with Camera and music systems.
  • Develop Android App with Security features.

SCOPE

  • Android Developer and Android Tester
  • Entrepreneurship

PROJECTS

  • Smart Genset
  • Smart Street Light

4. DATA SCIENCE AND ANALYTICS

OBJECTIVES

  • This course will serve as a comprehensive introduction to various topics in machine learning.
  • Conceptualization and summarization of big data and machine learning, trivial data versus big data, big data computing technologies, machine learning techniques, and scaling up machine learning approaches.
  • To provide Conceptualization and summarization: Representation of data. Modeling of machine learning techniques. Application of big data computing technologies.
  • To provide Trivial data versus Big data: Representation learning. Publicly available datasets. Scalability and Scaling up techniques. Report writing using Latex.

OUTCOMES

  • At the end of the course the students should be able to design and implement machine learning solutions to classification, regression, and clustering problems; and be able to evaluate and interpret the results of the algorithms.
  • Ability to identify the characteristics of datasets and compare the trivial data and big data for various applications.
  • Ability to select and implement machine learning tech
  • niques and computing environment that are suitable for the applications under consideration.
  • Ability to solve problems associated with batch learning and online learning, and the big data characteristics such as high dimensionality, dynamically growing data and in particular scalability issues.

SCOPE

  • Business Analyst,
  • Product Analyst,
  • Machine Learning Engineer,
  • Data Scientist

PROJECTS

  • Smart Transportation

5. MACHINE LEARNING

OBJECTIVES

  • To provide Big data computing environment: Modern data analytics technologies like Hadoop and MapReduce. Suitable programming languages like Python, Java and C. Big data friendly machine learning scikit-learn libraries. Software platforms like Matlab or R.
  • To provide Machine learning techniques: Three phases of machine learning. types of learning support vector machine. decision trees and random forests. deep learning.
  • To provide Scaling up machine learning: Dimensionality reduction techniques like principal component analysis and feature hashing. Online processing technique called stochastic gradient descent. Big data machine learning models.

OUTCOMES

  • Ability to understand and apply scaling up machine learning techniques and associated computing techniques and technologies.
  • Ability to recognize and implement various ways of selecting suitable model parameters for different machine learning techniques.
  • Ability to integrate machine learning libraries and mathematical and statistical tools with modern technologies like hadoop and mapreduce.

SCOPE

  • Business Analyst
  • Product Analyst
  • Machine Learning Engineer
  • Data Scientist

PROJECTS

  • Smart Manufacturing

6. ARTIFICIAL INTELLIGENCES

OBJECTIVES

  • To create appreciation and understanding of both the achievements of AI and the theory underlying those achievements.
  • To introduce the concepts of a Rational Intelligent Agent and the different types of Agents that can be designed to solve problems
  • To review the different stages of development of the AI field from human like behavior to Rational Agents.
  • To impart basic proficiency in representing difficult real life problems in a state space representation so as to solve them using AI techniques.
  • To create an understanding of the basic issues of knowledge representation Logic & blind & heuristic search, as well as an understanding of other topics such as minimal, resolution, etc. that play an important role in AI programs.
  • To introduce advanced topics of AI such as planning, Bayes networks, natural language processing and Cognitive Computing

OUTCOMES

  • Demonstrate knowledge of the building blocks of AI as presented in terms of intelligent agents.
  • Analyze and formalize the problem as a state space, graph, design heuristics and select amongst different search.
  • Develop intelligent algorithms for constraint satisfaction problems and also design intelligent systems for Game Playing
  • Attain the capability to represent various real life problem domains using logic based techniques and use this to perform inference or planning.
  • Formulate and solve problems with uncertain information using Bayesian approaches.
  • Apply concept Natural Language processing to problems leading to understanding of cognitive computing.

SCOPE

  • AL Developer and AI Analyst
  • Data Scientist

PROJECTS

  • Smart City Project

PROJECTS UNDER IIoT

  • Access control to restricted areas and detection of people in non-authorized areas.
  • Asset indoor location by using active (ZigBee) and passive tags (RFID/NFC).
  • Assistance for elderly or disabled people living independent.
  • Cold Chain Monitoring and Smart Tracking
  • Control micro-climate conditions to maximize the production of fruits and vegetables and its quality.
  • Control of CO2 emissions of factories, pollution emitted by cars and toxic gases generated in farms.
  • Control of conditions inside freezers storing vaccines, medicines and organic elements.
  • Control of rotation of products in shelves and warehouses to automate restocking processes.
  • Control of routes followed for delicate goods like medical drugs, jewels or dangerous merchandises.
  • Control remotely the swimming pool conditions.
  • Control the exact conditions of plants grown in water to get the highest efficiency crops.
  • Detect leakages and wastes of factories in rivers.
  • Detection of gas levels and leakages in industrial environments, surroundings of chemical factories and inside mines.
  • Detection of windows and doors openings and violations to prevent intruders.
  • E-Health Sensor Platform for Biometric and Medical applications.
  • E-Health: Low Cost Sensors for Early Detection of Childhood Disease
  • Energy and water supply consumption monitoring to obtain advice on how to save cost and resources.
  • Energy consumption monitoring and management.
  • Environmental monitoring by Public Transportation.
  • Information collection from Can Bus to send real time alarms to emergencies or provide advice to drivers.
  • Intelligent and weather adaptive lighting in street lights
  • Intelligent Highways with warning messages and diversions according to climate conditions and unexpected events like accidents or traffic jams.
  • Liquid detection in data centers, warehouses and sensitive building grounds to prevent break downs and corrosion.
  • Measurement of water pressure in water transportation systems.
  • Monitoring and optimization of performance in solar energy plants.
  • Monitoring greenhouse conditions to develop new products in the food industry.
  • Monitoring of combustion gases and premptive fire conditions to define alert zones.
  • Monitoring of conditions inside museums and art warehouses.

12 + 14 =

Contact Us

 0710-3276283

 [email protected]

 Near Dighori Naka,
Vihirgaon, Umrer Road,
Nagpur (Maharashtra)
 

 

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