activity
20162024
most citedNear Lossless Time Series Data Compression Methods using Statistics and Deviation

3 citations · 3 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CR2024

Design and Prototype of a Unified Framework for Error-robust Compression and Encryption in IoT

Gajraj Kuldeep, Qi Zhang

The Internet of Things (IoT) relies on resource-constrained devices for data acquisition, but the vast amount of data generated and security concerns present challenges for efficie…

eess.SP2024

Compression using Discrete Multi-Level Divisor Transform for Heterogeneous Sensor Data

Gajraj Kuldeep, Qi Zhang

In recent years, multiple sensor-based devices and systems have been deployed in smart agriculture, industrial automation, E-Health, etc. The diversity of sensor data types and the…

cs.IT2022★ 3 cited

Near Lossless Time Series Data Compression Methods using Statistics and Deviation

Vidhi Agrawal, Gajraj Kuldeep, Dhananjoy Dey

The last two decades have seen tremendous growth in data collections because of the realization of recent technologies, including the internet of things (IoT), E-Health, industrial…

eess.IV2022

Image Classification using Sequence of Pixels

Gajraj Kuldeep

This study compares sequential image classification methods based on recurrent neural networks. We describe methods based on recurrent neural networks such as Long-Short-Term memor…

cs.CR2020

Compressive Sensing based Multi-class Privacy-preserving Cloud Computing

Gajraj Kuldeep, Qi Zhang

In this paper, we design the multi-class privacypreserving cloud computing scheme (MPCC) leveraging compressive sensing for compact sensor data representation and secrecy…

cs.IT2020

Energy Concealment based Compressive Sensing Encryption for Perfect Secrecy for IoT

Gajraj Kuldeep, Qi Zhang

Recent study has shown that compressive sensing (CS) based computationally secure scheme using Gaussian or Binomial sensing matrix in resource-constrained IoT devices is vulnerable…

cs.IT2017

Orthogonal Ramanujan Sums, its properties and Applications in Multiresolution Analysis

Devendra Kumar Yadav, Gajraj Kuldeep, S. D. Joshi

Signal processing community has recently shown interest in Ramanujan sums which was defined by S.Ramanujan in 1918. In this paper we have proposed Orthog- onal Ramanujan Sums (ORS)…

math.GM2016

Ramanujan Sums as Derivatives

Devendra Kumar Yadav, Gajraj Kuldeep, S. D. Joshi

In 1918 S. Ramanujan defined a family of trigonometric sum now known as Ramanujan sums. In the last few years, Ramanujan sums have inspired the signal processing community. In this…