A.R.I.S.E. Lab - Projects

Ongoing Research

Funded by

CERD-APJAKTU (RSM Scheme)

Implementation of an autonomous WBAN for IoT enabled healthcare applications using wireless sensor node with solar energy harvesting

(Funded by APJAKTU-CERD - sanctioned amount of Rs. 1.77 Lakhs)

Faculty: Dr. Ragesh G. K (Professor, HOD, ECE, ASIET)

Internet of Things (IoT) is a new technological paradigm that can connect things from various fields through the Internet. For the IoT connected healthcare applications, the wireless body area network (WBAN) is gaining popularity as wearable devices spring into the market. This project proposes a wearable sensor node with solar energy harvesting and Bluetooth low energy transmission that enables the implementation of an autonomous WBAN.

Multiple sensor nodes can be deployed on different positions of the body to measure the subject’s body temperature distribution, heartbeat, ECG, EMG and detect falls. A web-based Smartphone application will be developed for displaying the sensor data and fall notification.

To extend the lifetime of the wearable sensor node, a flexible solar energy harvester with an output-based maximum power point tracking technique will be used to power the sensor node. The proposed IoT enabled WBAN system with solar energy harvesting will demonstrate a long term continuous medical monitoring that will be highly beneficial for ubiquitous healthcare management system

Smart Portable IoT device for better diagnosis of asthma and COPD

(Funded by APJAKTU-CERD - sanctioned amount of Rs. 1,68,662)

Faculty: Ms. Arya Paul (Asst. Professor, ECE, ASIET)

The proposed research involves a combination of a smart inhaler system, which has the capability to improve asthma patients’ adherence to treatments and keep their condition under control, along with real time monitoring of environmental triggers and various lung function parameters.

Objectives:

Developing a smart inhaler system which monitors the environmental conditions of an asthma patient, thereby indicating the air quality, helping the diagnosis and control easier.
Monitors the blood oxygen saturation level and the pulmonary capacity of the patient in real time, which can be accessed by the physician.
Enables the physician to distinguish and diagnose the conditions of asthma and COPD and understand the severity of the condition.
To develop an android mobile application that can be accessed by the patient, the doctor and the care taker
Keeps and displays the record of the exact number of times, the date and time at which the inhaler has been used and the amount of medicine consumed from the inhaler. The mobile application can be checked to know the history of the patient whenever required.
Gives timely notification and reminders to patients for taking medicine. The application also notifies if the patient forgets to take the inhaler along with them.
Instructs the patient of the correct and appropriate usage of inhaler through a digital display on the device.

Expected Outcomes:

The proposed research incorporates the inhaler technology used by asthma patients along with real time tracking of the environmental conditions that triggers asthma and COPD. It helps the doctor to diagnose the asthmatic in an efficient manner.

The system measures different asthma triggers such as dust, smoke, humidity, temperature, pressure, CO2 content of the surrounding atmosphere. The device analyzes these factors, determines and gives a clear indication of air quality to the patient. The patient can use this data to self control the asthma. The complete set of indications, alerts and recording of data can be done on a real time basis using an android mobile application which is connected to the device using Bluetooth. The system makes it easy to track, understand and manage asthma in a controlled manner.

The device tracks where, when and how often asthmatics use their medication. The doctor and the patient can easily get the exact count of number of times the inhaler has been used. Over time, the application learns about the medication use and can help the patient to identify their triggers and manage their asthma. The next step of the research is to develop a mini portable unit that can be attached to the inhaler for measuring the severity of asthma and monitoring the response of lungs to treatment.

Monitoring cough and wheezing will not provide accurate judgments of the severity of asthma in a patient. The proposal aims at developing a low-cost, portable unit built around MEMS pressure sensor for detecting patient’s airflow and pressure moving in and out of the lungs. With this, COPD can be detected in advance, by distinguishing between the level of asthma and COPD. The oximeter, which forms an integral part of the inhaler, measures blood oxygen saturation level during asthma.

Deep Learning Based Waste Segregation System using Computer Vision and Robotics

(Funded by APJAKTU-CERD - sanctioned amount of Rs. 1,84,500)

Faculty: Mr. Anuroop K.B (Asst. Professor, ECE, ASIET)

The present waste segregation system has many limitations. One of the major disadvantages is that they are not able to handle bulk amounts of waste. Users will be putting the waste in a mixed form – metallic, plastic, bio waste etc. Present waste segregation system will handle this only if we put the waste one after another, if the user is that patient, they can manually put them in separate trash boxes. This is the limitation of the current system. Our system will segregate the waste irrespective of the input amount and type. Our Deep Learning based segregation mechanism will detect the type of waste and separate them efficiently.

Applications / Socioeconomic importance

• This project provides an adaptive, sustainable platform for waste segregation.

• Waste segregation should begin from the creator itself home, school, office etc. Our system will help to achieve this efficiently.

• This can be used anywhere since power backup is taken from solar energy.

Waste management will become an easy task if it is managed at domestic level, waste segregation in junk yards is very difficult and time consuming.

Isolation Enhancement in multi antenna system used for 5G systems using metamaterials

(Funded by APJAKTU-CERD - sanctioned amount of Rs. 1,92,000)

Faculty: Mr. Sreerag M (Asst. Professor, ECE, ASIET)

With rapid development of communication systems, multiantenna systems are employed to increase reliability or bandwidth efficiency. Multi Input Multi Output (MIMO) system can increase channel capacity and bandwidth. When multiple antennas are placed closely, mutual coupling effects become a serious problem. Mutual coupling between antennas mainly comes from propagation of surface waves when multiple antenna share same ground plane. This will have serious effect on antenna performances like radiation pattern, gain, operating bandwidth and so on.

Therefore reducing mutual coupling between antennas is very important. Main objective of this research proposal is to design a system that enhances isolation or mutual coupling suppression for 5G systems with a set of satisfying resulting parameters like gain, radiation patterns, scattering parameters etc. Fractal structures or metamaterials can be loaded to reduce mutual coupling. Hence a study on fractal structures and metamaterials, that can be employed for mutual coupling suppression is to be done so that minimum spacing between antennas can be achieved with better isolation.

Expected outcomes of the project :

• Measurement of Antenna parameters for Isolation Enhancement in multi antenna systems used for 5G systems

• Simulation of designed structure of Isolation Enhancement in multi antenna systems used for 5G systems

• To reduce mutual coupling between closely spaced antennas for 5G systems