IoT and Embedded Systems Lab

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.

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.

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.

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.

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