IoT and Embedded Systems Lab

The IoT and Embedded Systems Lab aims to develop a connected, secure, and smart Internet of Things (IoT) based platform, empowered with machine learning and data analytics, to address economic, social, and environmental, and business needs. The lab provides opportunities to work with new and existing datasets, apply information science and AI procedures to reveal new experiences and important data or, fabricate new applications in healthcare, agriculture, retail, etc.

Lab Activities

Introduce industry-relevant courses in the autonomous curriculum, and conduct hands-on courses and workshops

Create opportunities for students and faculty members to execute industry consulting projects

Support students with the necessary resources to participate in national competitions

Involve students in interdisciplinary projects under the banner of the Central Project Review Committee (CRPC)

Collaborate with us.

GET IN TOUCH

Lab Resources

E-resources, including Basic Embedded Systems lecture series, Advanced Level Embedded System training series, and Version Control in Github (video training series).

Major equipment like PCB drill machine, micro solder station, Arduino Mega, Ethernet shield, Arduino Uno GSM shield, Raspberry pi display, Turbidity sensor, IR flame detection sensor, etc.

Microcontroller development platforms - an Arduino IoT development platform, Node MCU wifi boards, Bluetooth, LoRa, GSM/GPRS, Zigbee - to realize seamless connectivity in the digital domain.

Dedicated Printed Circuit Board (PCB) design software like Eagle PCB to create marketable prototypes

Open Source text based services like the MQTT server/client model

Surface Mount Devices (SMD) for building compact IoT systems

Lab Infrastructure

The Lab will utilize the power of physical parameter sensing devices or sensors to provide exhaustive solutions in the IoT domain. We influence the use case of Single Board Computers (SBC) to run applications by understanding different applications, including network traffic checking, web execution, and security and protection research. Devices available include:

DEVELOPMENT BOARDS SENSORS RF MODULES

Node MCU (cp2102)

PH Sensor

RF TX-RX 433MHz

ESP32 kit

ADXL335 Accelerometer

Zigbee

Raspberry Pi 4 (Model B)

DHT11/DHT22

LoRa

Camera module

Peltier Module

Wi-Fi

Beaglebone Black

Sound Module

GSM/GPRS

Arduino Uno

Rotary Encoder

RFID

Arduino Nano

MQ2/MQ6 Gas Sensor

BLE

Arduino Mega 2560

LDR Module

NRF24L01 (2.4GHz)

Ethernet Shield for Arduino Uno

Flame detector

GSM Shield for Arduino Uno

Flow meter

ARM7 LPC2148 Development Kit

Turbidity Sensor, Vibration Sensor, Soil Moisture Sensor, PIR Sensor

DEVELOPMENT BOARDS & SENSORS

Courses & Trainings

Industrial IoT and Embedded Systems
26 Feb, 2021 - 31 Dec, 2021

The training program is focused on Project management, Embedded Systems, and Internet of Things (IoT) system design which will help the students to get skilled in cutting edge technologies. Industry experts from Phoenix Robotix Pvt. Ltd., Bhubaneswar, take the training. The student selection was done through an idea competition ‘DATOMS Industrial IoT Innovation Challenge 2021’.

Students will gain a thorough understanding of the product design life cycle. They will learn to use the various tools for product/prototype development.

Overall, 15 students from different branches got selected by Phoenix Robotix Pvt. Ltd., Bhubaneswar. These students will work on five industry-guided, cutting-edge IoT projects to make marketable POC (Proof-of-Concept). The projects are as below:

  • Machine Health monitoring, and prognostic maintenance
  • Smart energy meter design
  • Smart lighting system
  • Low power smart parking device
  • Low power asset tracking device
Training on NodeJS, MySQL and Express
11 Feb, 2020 - 14 Feb, 2020

This training aimed to help participants learn and upgrade their skills and experience in REST API development using Node.js. and various Node.js REST API projects.

The training discussed the following REST API projects:

  • Hello world REST API
  • Calculator API
  • MySQL CRUD (Create, Read, Update, Delete) API
  • Applying basic authentication for Node.js REST API
  • Applying OAuth2 for Node.js REST API
  • Applying JWT token for Node.js REST API
Interfacing and Communication Technologies for IOT System Design
27 May, 2020 - 22 Jun, 2020

The objective of this training program is to provide Hands-on practice on various wireless technologies and interfacing schemes.
The participants received the basic understanding of various wired/wireless communication modules used for IoT system design and development.

The concepts behind the interfacing mechanism of physical layer protocols and hardware modules for interfacing with arduino/ESP series microcontrollers as well as 8051 series microcontrollers are discussed in this training program.

Short Term Training Program (STTP) on Industrial Automation and Control, for Industry 4.0 (IACI-2019), TEQIP-III, BPUT Odisha
25 Oct, 2019 - 29 Oct, 2019

The main objective of conducting the STTP on 'Industrial Automation and Control for Industry 4.0' as an interactive program is to fulfill the gap between the industries and academic institutes. The industrial systems of the future are seen as complex systems composed of vast numbers of devices continuously interacting with each other and with enterprise systems.

Modern technologies and concepts such as web services, Service Oriented Architectures (SOA), cloud computing, smart sensors, and systems can be used to construct sophisticated infrastructures to fulfill future industrial needs.

In this STTP, we will treat and justify the case for different types of sensors for the measurement of flow, level, temperature, pressure, and acceleration. The training will discuss MEMS and MOEMS sensors, various PID Controller schemes, Automation & Control using PLC, Automation & Control using National Instruments LabVIEW.

We will also learn about Optical Sensing Systems for wide-area industrial automation and control, distributed measurement technologies using Fibre Bragg Grating sensors, big data enabled machine learning, AI, and IoT frameworks for smart industrial automation and control.

Featured Projects

12

Mar '2020

Design and Development of Fiber Bragg Grating (FBG) Based Cardiac Probe for MRI Environment

Researchers at the SiliconTech IoT and Embedded Systems Lab are developing a cardiac monitoring mechanism by integrating Internet of Things (IoT) and Optical Sensors. The Proof of Concept (POC) conveys the possible applications of FBGs in the field of biomedical engineering.
READ MORE

19

Sep '2019

Prognostic maintenance of Diesel Generator using IoT

The IoT and Embedded systems Lab is developing prediction algorithms that can improve the maintenance of diesel engines. This can lead to benefits for the environment and human health.
READ MORE

Projects, People & Publications

INDUSTRY COLLABORATION

Organization: Phoenix Robotix Pvt. Ltd, Bhubaneswar, Odisha, India. Year 2020

Predictive maintenance (EPM) of diesel engines is a great contribution to improve the environment and to stimulate good practices with good impact on human health. Ecology is a rapidly developing scientific discipline with great relevance to a sustainable world, whose development is not complete as a mature theory. There are, however, general principles emerging that may facilitate the development of such theory. In the meantime, these principles can serve as useful guides for EPM. According to the state of the art, it can be stated that through prediction algorithms, the equipment’s performance can be improved.

The primary objective of this research work is to develop a cardiac monitoring mechanism by integrating Internet of Things (IoT) and Optical Sensors. The Proof of Concept (POC) conveys the possible applications of FBGs in the field of biomedical engineering.

Some of the major design efforts in this project are:

  • The sensor utilizing a Fibre Bragg grating (FBG) as a sensing element was subject to tests carried out both under laboratory conditions, without exposition to the EM field, and during an MRI examination.
  • Methodology for FBG sensor based ballistocardiographic signal recording during an MRI examination and determining its basis physiological parameters such as Heart Rate (HR) and Respiration Rate (RR).
  • Interfacing Ethernet based FBG Interrogator with an auxiliary high computing system for sensor calibration and GUI visualization.
  • The auxiliary system will also communicate with the IoT platform for data storage and DSS. Cloud computing based internet application is the key aspect of the IoT based DSS mechanism.

Duration: 2019–2020

Sponsoring Agency: TEQIP-III Collaborative Research Initiative Scheme (CRIS) scheme sponsored by TEQIP-III BPUT Odisha.

The objective of this work is to design and test the performance of FBG embedded into nano-composite polymer materials. The developed sensor is very sensitive to vibration signature. Temperature sensitivity of the polymer packaged sensor is also analyzed in this work.

The packaging of the FBG has an important influence on FBG characteristics that directly affect the measurement accuracy, such as strain transfer, temperature characteristic, and spectral shape. Initially, a bare FBG was taken into consideration and it was embedded inside a PDMS polymer layer.

The temperature sensing performance of the embedded sensor was tested by applying controlled temperature. Further, two varieties of PDMS deposition were also tested by introducing nano-material (Carbon nanotube, and Graphyne) in the polymer.

Duration: 2019–2020

Sponsoring Agency: Silicon Research Promotion Scheme (SRPS) scheme sponsored by Silicon Institute of technology, Bhubaneswar, India.

The Fibre Bragg Grating (FBG) sensing technology is widely accepted in many Structural Health Monitoring (SHM) applications. The sensor calibration is one of the most challenging aspects in various real-time applications of FBG sensors.

Efficient signal processing and calibration models are required to extract useful information from the noisy signal. The proposed calibration model is efficiently evaluated by bonding one FBG sensor (1545 nm) on the base plate of a suspension bridge model. The static load calibration is successfully implemented during this research work and errors are recorded.

Finally, the same mathematical model of the static load calibration scheme is implemented in National Instruments LabVIEW software to visualize every aspect of the sensing mechanism in a GUI framework during real-time testing.

The LabVIEW software has remote web monitoring capability which has greater IoT data and communication security. Whereas the performance of the loadcell is quite poor as compared to FBG sensor, we must stick with FBG sensor as long as it is feasible.

Duration: 2018–2019

Sponsoring Agency: Silicon Research Promotion Scheme (SRPS) scheme sponsored by Silicon Institute of technology, Bhubaneswar, India.

INDUSTRY COLLABORATION

Organization: Acrolect Solutions Pvt. Ltd, Noida, Delhi, India. Year 2018

There are technologies available to localize an object in real life. For example, GPS is used to track an object using signals to and from satellites. But, in this scenario a GPS is not recommended because a GPS device has signal issues and a vehicle that is untraceable will lead to miscalculation with reference to its job card.

The objective is to find out a solution where the tracking of an object will be seamless. Two aspects of the solution will be there will be a continuous signal and the prediction of location will be with precision.

INDUSTRY COLLABORATION

Organization: The Indian Railways, India. Year 2018

The system is developed at Silicon Institute of Technology, Bhubaneswar to display AC coach temperature in a 4 inch seven segment display combination. The Proof of Concept (POC) of the systems is successfully tested in Rajdhani Express and it is under standardization approval at RDSO, Nagpur. The project is approved by Khurda Division, East coast Railway.

INDUSTRY COLLABORATION

Organization: Mogora Cosmic Pvt. Ltd, Pune, India. Year 2017

Fully Indigenously Developed Welding Simulator. Recommended for Training, Screening and Upgrading the Welding Skills. Supports: MMA, MIG, and TIG. It supports the Real Arc Simulation to Develop the Psychomotor Skills of the candidate.

INDUSTRY COLLABORATION

Organization: NI Innovation, Bhubaneswar, Odisha, India. Year 2016

This service can help to secure the house whether the owner is available or not. This prototype contains Motion sensor, Human body temperature sensor, Laser sensor, Door and windows sensor. All these sensors are connected with ECU (electronics control unit). This ECU has a GSM network which gives a facility to make a communication network between the House owner & the Call center Office.

We have successfully acquired soil MC and environmental temperature, humidity, light intensity data using zigbee based WSN platform. More analysis on hardware performance like current consumption, battery life have to be done. Also the interconnection with DSS mechanism has been studied for irrigation control. This work is also focused on large agriculture data classification, analysis and prediction for better farming using smart DSS.

Some of the research goals achieved in this project are:

  • a distributed network of sensors for accurately sensing the plant growth activity and environmental conditions, and plant growth control actuators;
  • ontology-based decision support mechanisms that associate sensor data with actuator commands;
  • a machine learning process for enhancing plant state diagnosis based on logged data; and
  • a set of tools that facilitate the specification of applications and the visualization of measuring parameters and assessed states.

Duration: 2014–2015

Sponsoring Agency: Silicon Research Promotion Scheme (SRPS) scheme sponsored by Silicon Institute of technology, Bhubaneswar, India.

This method provides an accurate, and rapid tool to estimate leaf area from digital images. This tool’s ability to separate leaf pixels from various backgrounds also allows it to be used for leaf area and crop canopy measurement without masking soil or relying on infrared images to distinguish leaf area from background soil. This will significantly improve rapid screening of large plant collections.

The accuracy of this software was very high even with a commonly available camera phone, but care must be taken to avoid perspective and lens distortion.

The time required using traditional methods (flatbed scanner and Image analysis) is about 5 min for capturing an image and about 3 min for analyzing leaf area. Using a digital camera and this method required less than 5 s for capturing an image and less than 60 s for analyzing leaf area.

Duration: 2014–2015

Sponsoring Agency: Silicon Research Promotion Scheme (SRPS) scheme sponsored by Silicon Institute of technology, Bhubaneswar, India.

Electronics Engineering

Electronics Engineering

Electrical and Electronics Engineering

Computer Science and Engineering

Computer Science and Engineering

Computer Science and Engineering

Electronics Engineering

Electronics Engineering

Electronics Engineering

Electronics Engineering

Electronics Engineering

Electronics Engineering

TECHNICAL ASSISTANT

TECHNICAL ASSISTANT

Project: Machine Health monitoring and prognostic maintenance

Project: Smart energy meter design

Project: Smart energy meter design

Project: Smart energy meter design

Project: Smart lighting system

Project: Smart lighting system

Project: Smart lighting system

Project: Smart lighting system

Project: Low power smart parking device

Project: Low power smart parking device

Project: Low power smart parking device

Project: Low power asset tracking device

Project: Low power asset tracking device

Project: Low power asset tracking device

Project: Low power asset tracking device

Project: Navigation guided drone for smart agriculture

Project: Navigation guided drone for smart agriculture

Project: Robotic wheel chair with smart healthcare diagnostic for disabled patients

Project: Robotic wheel chair with smart healthcare diagnostic for disabled patients

Project: IoT based Pollution and weather monitoring system

Project: In-situ soil N-P-K sensor for Precision Agriculture

Project: In-situ soil N-P-K sensor for Precision Agriculture

Project: In-situ soil N-P-K sensor for Precision Agriculture

Project: Real-time bike monitoring and safety system

Project: Real-time bike monitoring and safety system

Project: Real-time bike monitoring and safety system

Ajaya K. Tripathy, Pradyumna K. Tripathy, Ambarish G. Mohapatra, Niranjan K. Ray, and Saraju P. Mohanty

, "WeDoShare: A Ridesharing Framework in Transportation Cyber-Physical System for Sustainable Mobility in Smart Cities ", IEEE Consumer Electronics Magazine, IEEE, Vol. 9, No. 4, pp. 41-48, 0623,

DOI: 10.1109/MCE.2020.2978373

.

Sarita Misra, Sudhansu Mohan Biswal, Biswajit Baral, Sanjit kumar Swain, Angsuman sarkar, and Sudhansu kumar Pati

, "Analytical modelling of a Cyl-JLAM MOSFET in the subthreshold region using distinct device geometry ", Journal of Computational Electronics, Springer, 0923,

DOI:
10.1007/s10825-020-01560-z

.

Bright Keswani, Ambarish G. Mohapatra, Poonam Keswani, Ashish Khanna, Deepak Gupta, and Joel J P C Rodrigues

, "Improving Weather Dependent Zone Specific Irrigation Control Scheme in IoT and BigData Enabled Self Driven Precision Agriculture Mechanism ", Enterprise Information Systems, pp. 1-22, 0123,

DOI: 10.1080/17517575.2020.1713406

.

Ambarish G. Mohapatra, Bright Keswani, and Saroj Kumar Lenka

, "Neural Network and Fuzzy Logic Based Smart DSS Model for Irrigation Notification and Control in Precision Agriculture ", Proceedings of the National Academy of Sciences,India Section A: Physical Sciences,, Springer, Vol. 6

, No. 24, pp. 1-10, 0123,

DOI: 10.1007/s40010-017-0401-6

.

Sudhansu Mohan Biswal, Biswajit Baral, Debashis De, and A. Sarkar

, "Simulation and comparative study on analog/RF and linearity performance of III–V semiconductor-based staggered heterojunction and InAs nanowire(nw) Tunnel FET ", Microsystem Technologies

, Springer, pp. 1-7, 1223,

DOI: 10.1007/s00542-017-3642-z

.

Sanjit Kumar Swain, Sudhansu Mohan Biswal, Satish Kumar Das, Sarosij Adak, and Biswajit Baral

, "Performance Comparison of InAs Based DG-MOSFET with Respect to SiO2 and Gate Stack Configuration ", Nanoscience & Nanotechnology, Vol. 9, 1023,

DOI: 10.2174/2210681209666190919094434

.

Ambarish G. Mahapatra, Bright Keswani, Shivani Nanda, Abhisekh Ray, Ashish Khanna, Deepak Gupta, and Poonam Keswani

, "Precission local positioning mechanism in underground mining using IoT-enabled WiFi platform ", International Journal of Computers and Applications (TJCA), 1223,

DOI: 10.1080/1206212X.2018.1551178

.

Bright Keswani,
Ambarish G. Mohapatra,
Amarjeet Mohanty,
Ashish Khanna,
Joel J. P. C. Rodrigues,
Deepak Gupta, and
Victor Hugo C. de Albuquerque

, "Adapting weather conditions based IoT enabled smart irrigation
technique in precision agriculture mechanisms ", Neural Computing and Applications, Springer, Vol. 31, pp 277–292, 0923,

DOI:
10.1007/s00521-018-3737-1

.

Ambarish G. Mohapatra, Bright Keswani, and Saroj Kumar Lenka

, "ICT Specific Technological Changes in Precision Agriculture Environment", International Journal of Computer Science and Mobile Applications, Vol. 6, No. 1, pp. 1-16, 0123.

Biswajit Baral, Sudhansu Mohan Biswal, Debashis De, and Angsuman Sarkar

, "Effect of gate-length downscaling on the analog/RF and linearity performance of InAs-based nanowire tunnel FET ", International Journal of Numerical Modelling: Electronic Networks, Devices And Fields, Vol. 30, No. 3-4, 0723,

DOI: 10.1002/jnm.2186

.

Biswajit Baral, Sudhansu Mohan Biswal, Debashis De, and Angsuman Sarkar

, "Effect of gate length downscaling on RF/Analog and Linearity performance of a Junctionless Double Gate MOSFET for Analog/mixed signal System-on-chip applications & it’s comparative study with conventional Mosfet ", Advances in Industrial Engineering and Management, Vol. 5, No. 1, pp. 130-137, 0723,

DOI: 10.7508/aiem.2016.01.005

.

Ambarish G. Mohapatra and Saroj Kumar Lenka

, "Hybrid Decision Model for Weather Dependent Farm Irrigation Using Resilient Backpropagation Based Neural Network Pattern Classification and Fuzzy Logic ", in Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: , Springer, pp. 1-12, 0723,

DOI: 10.1007/978-3-319-30933-0_30

.

Bright Keswani,Tarini Ch. Mishra, Ambarish G. Mohapatra, and Poonam Keswani,

, "
IoT Security and Privacy Preservation
", in Title:
Security Designs for the Cloud, Iot, and Social Networking
, Willy, Chapter. 6, pp. 99-112, ,

DOI: 10.1002/9781119593171.ch6

.

Bright Keswani, Ambarish G. Mohapatra, Tarini Ch. Mishra, Poonam Keswani, Pradeep Ch. G. Mohapatra, Md Mobin Akhtar, and Prity Vijay

, " World of Virtual Reality (VR) in Healthcare,", in Title: Advanced Computational Intelligence Techniques for Virtual Reality in Healthcare, Springer, pp. 1-23, 1223,

DOI: 10.1007/978-3-030-35252-3_1

.

Keep up to date with research outputs from the Silicon research community.

VIEW RESEARCH PUBLICATIONS