Electronics & Telecommunication Engineering

Faculty Research Work

Makarand. M. Jadhav

Optimization and Machine Learning approach to improve 5G Network performance

Bandwidth is presently a limited and valuable resource. Presently, a fibre optic link is connected to access point in an area. This access point gives us channel for communicating with nearby appliances or devices. Further, channel allocation is done at MAC layer and the same is implemented by physical layer, depending upon which channels are free with the network. Thus allocation/selection of best channel for communication with required QoS as well as QoE using Machine learning for high density network and with less coverage area is biggest challenge to enhance network performance. Further, use of multi-objective optimization techniques will utilize/manage network resources effectively.

Publications

  • Jadhav, M. M., Sapkal, A. M., Pattarkine, R., & Patil, R. A. (2018). Modified Iterative Decoding Algorithm for Polar Code Using Maximum Likelihood Estimation. Wireless Personal Communications, 98(2), 1821-1833.
  • Jadhav, M. M., Durgude, Y., & Umaje, V. N. (2019). Design and development for generation of real object virtual 3D model using laser scanning technology. International Journal of Intelligent Machines and Robotics, 1(3), 273-291.
  • Jadhav, M. M., Dongre, G. G., & Sapkal, A. M. (2019). Seamless Optimized LTE Based Mobile Polar Decoder Configuration for Efficient System Integration, Higher Capacity, and Extended Signal Coverage. International Journal of Applied Metaheuristic Computing (IJAMC), 10(3), 68-90.
  • Jadhav, M. M. (2021). Machine Learning based Autonomous Fire Combat Turret. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(2), 2372-2381.
  • Marne, H., Mukherji, P., Jadhav, M., & Paranjape, S. (2021). Bio‐inspired hybrid algorithm to optimize pilot tone positions in polar‐code‐based orthogonal frequency‐division multiplexing–interleave division multiple access system. International Journal of Communication Systems, 34(3), e4676.

Kantilal. B. Kharat

Antennas using Array Configuration for Multiband Applications

For reducing the size of antenna, fractal geometries have been introduced in the design of antenna. Fractal geometries have two common properties: Self similar property, Space filling property. The self-similarity property of certain fractals results in a multiband behavior. While using space filling properties, a fractal makes reduce antenna size. For improving the inherently narrow bandwidth of a microstrip antenna, it is very effective to use an electrically thick substrate. Several studies for feeding the microstrip antenna with a thick substrate have been reported, such as the L-shaped probe and the capacitive probe-fed structure. It should be noted that coaxial feed or probe feed help to achieve impedance matching. A multiband fractal tree antenna is a candidate for use in applications such as WLAN, ISM, IoT, WSN and Bluetooth.

Publications

  • K. Kharat, S. Dhoot and J. Vajpai,(2015) ,Design of compact multiband fractal antenna for WLAN and WiMAX applications International Conference on Pervasive Computing (ICPC), 1-4, doi: 10.1109/PERVASIVE.2015.7087008.
  • Kantilal Kharat, Sachindra Dhoot, Jayashri Vaipai (2014), Design & Analysis of Microstrip Fractal Array Antenna with high gain for Wireless Applications, International Conference on Microwave, Antenna, Propagating and Remote Sensing, (ICMARS), Jodhpur.

Harshad. N. Lokhande

Scene Specific Object Identification for Surveillance Applications

The COVID-19 has entirely changed the world. The world is adjusting with new ways of living to overcome this pandemic situation. The tracing of masked and unmasked persons, can give productive data to identify and track the negligent people to avoid the COVID-19 infection. Nowadays, object tracking an identification using deep learning is an emerging area to achieve better accuracy. For anomaly detection of person in video surveillance, different attributes like location, gender, age, face type, cloth colour and cloth type are important. There is need to design and implement algorithms with masked datasets that can detect variations in masks.

Publications

  • Harshad N. Lokhande, S.R. Ganorkar (2020), “Challenges in Scene Interpretation for Video Surveillance”, in Test-Engineering and Management, 83(2), 2020, pp-2168-2176
  • Harshad N. Lokhande, Shriram D. Markande. (2020). Improving the Performance and Satisfaction of Students in Embedded Systems with PBL Approach. International Journal on Recent and Innovation Trends in Computing and Communication, 8(7), 01 - 08. https://doi.org/10.17762/ijritcc.v8i7.5427

Sunita. P. Deshmukh

Detection and Diagnosis of Bio-Medical Images with Deep Learning

The time taken to diagnose a disease leads to an important role in the treatment of patients. Liver cancer is one of them. Thus, early detection of cancer or any deformity is proven boon in many cases. Therefore, developing new techniques and applications in the biomedical field on image processing like segmentation, compression, and enhancement are still thrust areas. Further, machine as well as deep learning approaches in training and testing of biomedical CT/MRI/Ultrasound images is need of time.

Publications

  • Hatte, P., Bhalerao, Y., Mungarwadi, S., Mungarwadi, P., Korde, A., Kumar, D., ... & Mantri, A. 2019 Fifth International Conference on Computing, Communication Control and Automation (ICCUBEA).
  • Pise, P., & Deshmukh, S. (2016, September). Implementation of translation system using embedded platform. In 2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT) (pp. 955-959). IEEE.
  • Solanki, V. P., & Deshmukh, S. (2019, September). Wi-Fi Based Home Surveillance Bot. In 2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA) (pp. 1-5). IEEE
  • Patil, P. R. K., & Deshmukh, S. (2019, September). Memory Aid Device for Alzheimer’s Patient. In 2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA) (pp. 1-3). IEEE.


Sandip Rikame and P.W. Kulkarni, “Digital electronic  Weighing Machine operate on solar energy with emergency light”, in International journal of emerging technology and advanced engineering, 2014 (IJETAE), Page no. 162-168, ISSN/ISBN no. 2250-2459, Vol. 4 Issue 7, July 2014.

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