Loading [MathJax]/extensions/MathMenu.js
Kandarpa Kumar Sarma - IEEE Xplore Author Profile
Subscribe
ADVANCED SEARCH

Author details

< Back

Kandarpa Kumar Sarma

Also published under: Kandarpa K. Sarma, Kanadarpa Kumar Sarma, K. K. Sarma

Publications
131
Citations
481
Publications by Year
20092024
Co-Authors:
Show All Co-Authors (111)
Image of author Kandarpa Kumar Sarma

Kandarpa Kumar Sarma

Also published under: Kandarpa K. Sarma, Kanadarpa Kumar Sarma, K. K. Sarma

Affiliation

Department of ECE
Gauhati University
Guwahati, India

Publication Topics

Biography

Kandarpa Kumar Sarma (Senior Member, IEEE) received the M.Tech. degree in signal processing from the Indian Institute of Technology Guwahati, Assam, India, in 2005, and the Ph.D. degree in the area of mobile communication from the Indian Institute of Technology Guwahati. He currently works as a Professor and the Head of the Department of Electronics and Communication Engineering, Gauhati University, Assam. His research interests include deep learning, mobile communications, speech processing, antenna design, and electronic warfare.(Based on document published on 13 April 2022).
Publications
131
Citations
481
Publications by Year
20092024
Co-Authors:
Show All Co-Authors (111)
Author's Published Works

Showing 1-25 of 131 results

  • Sort

Filter Results

Show

Sort By

Results

Vision-Based People Counting System for Indoor and Outdoor Environments using different Deep Learning Models

Dimpy Kalita;Anjan Kumar Talukdar;Surajit Deka;Kandarpa Kumar Sarma

2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)
Year: 2024 | Conference Paper |
In today’s world, identifying, tracking and counting people are essential aspects of video analysis and are highly sought after in the field of in Computer Vision. Occlusion is the major problem in people counting systems because it obstructs the visibility of individuals which leads to miscounting of individuals particularly in crowded environments. This study provides a comparison of three promi...Show More

Vision-Based People Counting System for Indoor and Outdoor Environments using different Deep Learning Models

Dimpy Kalita;Anjan Kumar Talukdar;Surajit Deka;Kandarpa Kumar Sarma

Year: 2024 | Conference Paper |

AI-based Text to Scene Generation as Part of a Pandemic Compliant Infrastructure

Atlanta Choudhury;Kandarpa Kumar Sarma;Nikos Mastorakis

2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI)
Year: 2024 | Conference Paper |
After the 2020–2022 COVID-19 pandemic, it is observed that a responsive medical infrastructure and damage control techniques, including application of technology, have become more important than ever before. Many such technologies, including the Internet of Things (IoT), and artificial intelligence (AI)-aided decision-making have become relevant. Within such a framework, text-to-scene generation t...Show More

AI-based Text to Scene Generation as Part of a Pandemic Compliant Infrastructure

Atlanta Choudhury;Kandarpa Kumar Sarma;Nikos Mastorakis

Year: 2024 | Conference Paper |

Spread Spectrum Modulation Combined with AI in for Jamming Resistant Communication

Swaswati Purkayastha;Kandarpa Kumar Sarma;Nikos Mastorakis

2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI)
Year: 2024 | Conference Paper |
Dynamic spectrum access made possible by cognitive radio enables devices to intelligently adjust their transmission characteristics in accordance with the available spectrum. However, the vulnerability of cognitive radio systems is significantly hampered by their susceptibility to jamming assaults. This paper suggests combining spread spectrum modulation (SSM) and artificial intelligence (AI) appr...Show More

Spread Spectrum Modulation Combined with AI in for Jamming Resistant Communication

Swaswati Purkayastha;Kandarpa Kumar Sarma;Nikos Mastorakis

Year: 2024 | Conference Paper |

Anisotropic Channel Equalization using optimized clustering and Kalman-HMM trained ADALINE

Priyanko Raj Mudiar;Kandarpa Kumar Sarma

2023 4th International Conference on Computing and Communication Systems (I3CS)
Year: 2023 | Conference Paper |
Artificial feature extraction models evolving around adaptive computational decisions which involve spectrum analysis and channel estimation for dedicated cognitive antenna allocation including smart pipelining applications has become a domain of interest for communication protocols which are specifically designed to meet the upcoming architectures and frameworks of 5G and 6G based WLAN/SCADA/DWWA...Show More

Anisotropic Channel Equalization using optimized clustering and Kalman-HMM trained ADALINE

Priyanko Raj Mudiar;Kandarpa Kumar Sarma

Year: 2023 | Conference Paper |

Human Activity Recognition based on Stacked Autoencoder with Complex Background Conditions

Aparajita Das;Navajit Saikia;Subhash Ch. Rajbongshi;Kandarpa Kumar Sarma

2022 OITS International Conference on Information Technology (OCIT)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Human activity recognition is one of the prime focus areas of computer vision having a range of current and evolving applications in the real-world environment such as abnormal activity recognition, pedestrian traffic with action detection, video indexing, gesture recognition, etc. The goal of this paper is to propose a human action recognition framework that can efficiently work in complex backgr...Show More

Human Activity Recognition based on Stacked Autoencoder with Complex Background Conditions

Aparajita Das;Navajit Saikia;Subhash Ch. Rajbongshi;Kandarpa Kumar Sarma

Year: 2022 | Conference Paper |

Masked or Unmasked Face Detection from Online Video using Learning Aided Pattern Recognition Method

Bijuphukan Bhagabati;Kandarpa Kumar Sarma

2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Security and surveillance are major concerns for every organization. During the Covid-19 pandemic situation, wearing of face mask has been recommended to be essential while accessing a sanitized place. Demand for developing surveillance mechanism for pandemic compliant infrastructure has arisen. This paper discusses a computer vision technique for detection of unmasked or masked faces from video s...Show More

Masked or Unmasked Face Detection from Online Video using Learning Aided Pattern Recognition Method

Bijuphukan Bhagabati;Kandarpa Kumar Sarma

Year: 2022 | Conference Paper |

Design of an Augmented Reality Based Platform with Hand Gesture Interfacing

Shyam Narayan Verma;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)
Year: 2022 | Conference Paper |
Augmented Reality (AR) is a young area that is rapidly developing. Its goal is to bring the virtual and real worlds together. By incorporating virtual things into our view of the actual world, AR aims to improve our experience of it. This paper introduces a new gesture controlled AR system, which performs hand gesture recognition using novel acquisition devices such as the Leap Motion and Kinect s...Show More

Design of an Augmented Reality Based Platform with Hand Gesture Interfacing

Shyam Narayan Verma;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

Year: 2022 | Conference Paper |

Learning Aided System for Agriculture Monitoring Designed Using Image Processing and IoT-CNN

Kandarpa Kumar Sarma;Kunal Kingkar Das;Vikash Mishra;Samadrita Bhuiya;Dmitrii Kaplun

IEEE Access
Year: 2022 | Volume: 10 | Journal Article |
Cited by: Papers (22)
The Internet of Things (IoT) and artificial intelligence (AI) based methods for monitoring, control, and decision support are combined to design of a smart agriculture assistance system. The proposed system has a sensor pack that provides continuous data capture of temperature records, air and soil moisture and a camera for obtaining near-infrared (NIR) images of the plant leaves for use with an A...Show More

Learning Aided System for Agriculture Monitoring Designed Using Image Processing and IoT-CNN

Kandarpa Kumar Sarma;Kunal Kingkar Das;Vikash Mishra;Samadrita Bhuiya;Dmitrii Kaplun

Year: 2022 | Volume: 10 | Journal Article |

Development of a Learning-aid tool using Hand Gesture Based Human Computer Interaction System

Bidyut Jyoti Boruah;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

2021 Advanced Communication Technologies and Signal Processing (ACTS)
Year: 2021 | Conference Paper |
Cited by: Papers (12)
A hand gesture recognition system is a natural and simple way of communicating in today’s world. The development of teaching methods by using technology-dependent useful items to increase communication and interaction between the teacher and the student is a major part of today’s e-learning. In this paper, we have proposed an interactive learning-aid tool based on a vision-based hand gesture recog...Show More

Development of a Learning-aid tool using Hand Gesture Based Human Computer Interaction System

Bidyut Jyoti Boruah;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

Year: 2021 | Conference Paper |

Real-Time Indian Sign Language Recognition System using YOLOv3 Model

Nihashree Sarma;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

2021 Sixth International Conference on Image Information Processing (ICIIP)
Year: 2021 | Conference Paper |
Cited by: Papers (14)
Sign Language is a language which helps deaf and mute people for communication with hearing people. The aim of Indian Sign Language recognition (ISLR) is to understand the meaning of signs of speech impaired or hearing impaired person in the Indian region to interact with the society. This paper proposes for ISLR system in real-time based on the YOLOv3 Model and used in conjunction with Darknet-53...Show More

Real-Time Indian Sign Language Recognition System using YOLOv3 Model

Nihashree Sarma;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

Year: 2021 | Volume: 6 | Conference Paper |

Deep Learning Based Face Mask Detection System for COVID-19 Control

Madhusmita Sarma;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

2021 Sixth International Conference on Image Information Processing (ICIIP)
Year: 2021 | Conference Paper |
COVID-19 pandemic is spreading continuously causing serious health problems. Wearing face mask is one of the prominent precautions people can easily follow. In this paper, we have built a model for face-mask detection system using deep learning technique that uses Histogram of Oriented Gradients (HOG) based features for face detection and Convolutional Neural Network (CNN) for detecting whether th...Show More

Deep Learning Based Face Mask Detection System for COVID-19 Control

Madhusmita Sarma;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

Year: 2021 | Volume: 6 | Conference Paper |

Design of a Light-weight Natural Scene Text Detection System

Jyoti Ghosh;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP)
Year: 2021 | Conference Paper |
Scene Text Detection is one of the vast tasks of computer vision that have received immense progress in the field of deep learning (DL). Several DL models have been made with large scale neural network structures and heavy weight files with a huge number of parameters to increase the natural scene text detection performance. Although these models improve the performance to a high range, but they r...Show More

Design of a Light-weight Natural Scene Text Detection System

Jyoti Ghosh;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

Year: 2021 | Conference Paper |

Technique to Adjust Adaptive Digital Filter Coefficients in Residue Number System Based Filters

Dmitrii Kaplun;Alexander Voznesensky;Alexander V. Veligosha;Igor A. Kalmykov;Kandarpa Kumar Sarma

IEEE Access
Year: 2021 | Volume: 9 | Journal Article |
Cited by: Papers (9)
The paper discusses adaptive filtering using Least Mean Square (LMS) and Recursive Least Square (RLS) algorithms. An algorithm for adjusting the coefficients of an adaptive digital filter in the Residue Number System and a procedure of developed algorithm applying depending on filter length and signal length are proposed. Mathematical modeling of the considered algorithms is performed. Examples ar...Show More

Technique to Adjust Adaptive Digital Filter Coefficients in Residue Number System Based Filters

Dmitrii Kaplun;Alexander Voznesensky;Alexander V. Veligosha;Igor A. Kalmykov;Kandarpa Kumar Sarma

Year: 2021 | Volume: 9 | Journal Article |

Design and Implementation of ML Based Temperature Forecasting Model for air conditioning using IoT

Biplobi Borah;Kandarpa Kumar Sarma

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
For accurate prediction of any physical parameter including ambient temperature by taking inputs from sensors, machine learning (ML) techniques are often preferred. In this paper, prediction and analysis of environmental real time temperature has been done using two ML models viz. Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM). For analysis of collected data, traditional statisti...Show More

Design and Implementation of ML Based Temperature Forecasting Model for air conditioning using IoT

Biplobi Borah;Kandarpa Kumar Sarma

Year: 2021 | Conference Paper |

Optimal Routing in the 5G Ultra Dense Small Cell Network using GA, PSO and Hybrid PSO-GA Evolutionary Algorithms

Debashis Dev Misra;Kandarpa Kumar Sarma;Utpal Bhattacharjee;Pradyut Kumar Goswami;Nikos Mastorakis

2020 24th International Conference on Circuits, Systems, Communications and Computers (CSCC)
Year: 2020 | Conference Paper |
Cited by: Papers (4)
Ultra Dense Network (UDN) is a guiding principle in the direction of 5G network challenges which focuses on network infrastructure densification. The extremely dynamic nature of such networks implies that the optimal path between the source/destination pairs will be highly dynamic in nature. In such a backdrop, routing mechanisms have to be designed to be robust and scalable in nature in order to ...Show More

Optimal Routing in the 5G Ultra Dense Small Cell Network using GA, PSO and Hybrid PSO-GA Evolutionary Algorithms

Debashis Dev Misra;Kandarpa Kumar Sarma;Utpal Bhattacharjee;Pradyut Kumar Goswami;Nikos Mastorakis

Year: 2020 | Conference Paper |

Speech Database in Sylheti and Speech Recognition using Convolutional Neural Network

Gautam Chakraborty;Mridusmita Sharma;Navajit Saikia;Kandarpa Kumar Sarma;Nikos E. Mastorakis

2020 24th International Conference on Circuits, Systems, Communications and Computers (CSCC)
Year: 2020 | Conference Paper |
Speech dataset is the primary and core element for a speech/speaker recognition system specific to a language. Sylheti, a language of Indo-Aryan family, is a member of under-resourced language group which is spoken in Sylhet district of Bangladesh and Barak valley part of Assam, India. It does not have any electronic and web data resources. So, there is a requirement to design a speech database in...Show More

Speech Database in Sylheti and Speech Recognition using Convolutional Neural Network

Gautam Chakraborty;Mridusmita Sharma;Navajit Saikia;Kandarpa Kumar Sarma;Nikos E. Mastorakis

Year: 2020 | Conference Paper |

Suspicious Activity Detection from Videos using YOLOv3

Nipunjita Bordoloi;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

2020 IEEE 17th India Council International Conference (INDICON)
Year: 2020 | Conference Paper |
Cited by: Papers (15)
Human activity detection for video system is an automated way of processing video sequences and making an intelligent decision about the actions in the video. It is one of the growing areas in Computer Vision and Artificial Intelligence. Suspicious activity detection is the process of detecting unwanted human activities in places and situations. This is done by converting video into frames and ana...Show More

Suspicious Activity Detection from Videos using YOLOv3

Nipunjita Bordoloi;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

Year: 2020 | Conference Paper |

Artificial Intelligence Aided Electronic Warfare Systems- Recent Trends and Evolving Applications

Purabi Sharma;Kandarpa Kumar Sarma;Nikos E. Mastorakis

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (38)
Electronic warfare (EW) is one of the most important characteristics of modern battles. EW can affect a military force's use of the electromagnetic spectrum to detect targets or to provide information. Recent developments in artificial intelligence (AI) suggest that this emerging technology will have a deterministic and potentially transformative influence on military power. AI driven algorithms c...Show More

Artificial Intelligence Aided Electronic Warfare Systems- Recent Trends and Evolving Applications

Purabi Sharma;Kandarpa Kumar Sarma;Nikos E. Mastorakis

Year: 2020 | Volume: 8 | Journal Article |

A Reconfigurable Time Multiplexed Multichannel ADC Model for Efficient Data Acquisition

Udeshna Hazarika;Monalisa Das;Kandarpa Kumar Sarma

2020 International Conference on Computational Performance Evaluation (ComPE)
Year: 2020 | Conference Paper |
Present days witnessed extensive use of Analog to Digital Converters (ADC) in different fields of applications, as an interface between the analog world and the digital world. However, in most cases, external ADCs are employed to meet the purpose. This eventually makes the system bulky, power-consuming, complex, and costly. Implementation of reconfigurable ADC programmed inside Field-Programmable ...Show More

A Reconfigurable Time Multiplexed Multichannel ADC Model for Efficient Data Acquisition

Udeshna Hazarika;Monalisa Das;Kandarpa Kumar Sarma

Year: 2020 | Conference Paper |

Modified Semi-Supervised Adversarial Deep Network and Classifier Combination for Segmentation of Satellite Images

Manami Barthakur;Kandarpa Kumar Sarma;Nikos Mastorakis

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (3)
Content extraction from satellite images continues to evolve with the application of learning aided approaches. Recently, with the addition of deep learning (DL) based methods, content extraction from satellite images has become more reliable and efficient, yet challenges continue to exist as these methods require a large number of training and annotated images to enable effective learning by thes...Show More

Modified Semi-Supervised Adversarial Deep Network and Classifier Combination for Segmentation of Satellite Images

Manami Barthakur;Kandarpa Kumar Sarma;Nikos Mastorakis

Year: 2020 | Volume: 8 | Journal Article |

A Threshold Voltage Compensated Wideband RF Energy Harvesting Rectifier at 45 nm Technology

Manash Pratim Sarma;Kanadarpa Kumar Sarma;Nikos E Mastorakis

2019 3rd European Conference on Electrical Engineering and Computer Science (EECS)
Year: 2019 | Conference Paper |
Equipping a modern day communication system with RF energy harvesting capability is the need of the hour and to make this a reality a high frequency rectifier is indeed indispensable. To trap the real RF energy successfully the rectifier must be able to provide a sufficiently higher percentage conversion ratio (PCE) at a lower range of signal power. This paper presents a simplified 3-transistor de...Show More

A Threshold Voltage Compensated Wideband RF Energy Harvesting Rectifier at 45 nm Technology

Manash Pratim Sarma;Kanadarpa Kumar Sarma;Nikos E Mastorakis

Year: 2019 | Conference Paper |

Cooperative NOMA with Joint User and Relay Selection

Aradhana Misra;Kandarpa Kumar Sarma;Nikos Mastorakis

2019 3rd European Conference on Electrical Engineering and Computer Science (EECS)
Year: 2019 | Conference Paper |
A Non Orthogonal Multiple Access (NOMA) system with cooperative user relaying is an effective way to improve the spectral efficiency and reliability of the network. This paper considers a multiuser downlink scenario, where users are supported on the basis of power domain NOMA and can alternatively act as relays to provide cooperation in the network. Joint user and relay selection has been consider...Show More

Cooperative NOMA with Joint User and Relay Selection

Aradhana Misra;Kandarpa Kumar Sarma;Nikos Mastorakis

Year: 2019 | Conference Paper |

A Modified High Frequency Rectifier with Substrate Voltage Compensation Techniques at 45 nm Technology for RF Energy Harvesting Application

Manash Pratim Sarma;Kanadarpa Kumar Sarma;Nikos E Mastorakis

2019 3rd European Conference on Electrical Engineering and Computer Science (EECS)
Year: 2019 | Conference Paper |
Radio Frequency (RF) energy harvesting is gaining much attention in contemporary communications and the high frequency rectifier is the heart of such a system. To attain a high percentage conversion efficiency (PCE) at lower input power, the key challenge amongst several others is the design challenge. This paper presents a modified transmission gate (TG) based design of a high frequency rectifier...Show More

A Modified High Frequency Rectifier with Substrate Voltage Compensation Techniques at 45 nm Technology for RF Energy Harvesting Application

Manash Pratim Sarma;Kanadarpa Kumar Sarma;Nikos E Mastorakis

Year: 2019 | Conference Paper |

Action Recognition from Depth Video Sequences Using Microsoft Kinect

Gautam Shankar Lahan;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

2019 Fifth International Conference on Image Information Processing (ICIIP)
Year: 2019 | Conference Paper |
This paper provides a fast and effective method for understanding human actions. The object performs various actions such as sitting, hand-wave, theft, and walking. The movements are captured in real time using the Microsoft Kinect sensor where the recorded video is in the mode of depth. Individual frames are taken from the video of specific action and SURF characteristics are extracted based on t...Show More

Action Recognition from Depth Video Sequences Using Microsoft Kinect

Gautam Shankar Lahan;Anjan Kumar Talukdar;Kandarpa Kumar Sarma

Year: 2019 | Conference Paper |

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.