Thapar University

About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Computer science & Cloud computing. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.

Improved object recognition results using SIFT and ORB feature detector

Abstract: Object recognition has a wide domain of applications such as content-based image classification, video data mining, video surveillance and more. Object recognition accuracy has been a significant concern. Although deep learning had automated the feature extraction but hand crafted features continue to deliver consistent performance. This paper aims at efficient object recognition using hand crafted features based on Oriented Fast & Rotated BRIEF (Binary Robust Independent Elementary Features) and Scale Invariant Feature Transform features. Scale Invariant Feature Transform (SIFT) are particularly useful for analysis of images in light of different orientation and scale. Locality Preserving Projection (LPP) dimensionality reduction algorithm is explored to reduce the dimensions of obtained image feature vector. The execution of the proposed work is tested by using k-NN, decision tree and random forest classifiers. A dataset of 8000 samples of 100-class objects has been considered for experimental work. A precision rate of 69.8% and 76.9% has been achieved using ORB and SIFT feature descriptors, respectively. A combination of ORB and SIFT feature descriptors is also considered for experimental work. The integrated technique achieved an improved precision rate of 85.6% for the same.

Lightweight Cybersecurity Schemes Using Elliptic Curve Cryptography in Publish-Subscribe fog Computing

Abstract: The rapid growth of connected things across the globe has been brought about by the deployment of the Internet of things (IoTs) at home, in organizations and industries. The innovation of smart things is envisioned through various protocols, but the most prevalent protocols are pub-sub protocols such as Message Queue Telemetry Transport (MQTT) and Advanced Message Queuing Protocol (AMQP). An emerging paradigm of communication architecture for IoTs support is Fog computing in which events are processed near to the place they occur for efficient and fast response time. One of the major concerns in the adoption of Fog computing based publish-subscribe protocols for the Internet of things is the lack of security mechanisms because the existing security protocols such as SSL/TSL have a large overhead of computations, storage and communications. To address these issues, we propose a secure, Fog computing based publish-subscribe lightweight protocol using Elliptic Curve Cryptography (ECC) for the Internet of Things. We present analytical proofs and results for resource efficient security, comparing to the existing protocols of traditional Internet.

A Novel Triangular Interval Type-2 Intuitionistic Fuzzy Sets and Their Aggregation Operators

Abstract: The objective of this work is to present a triangular interval type-2 (TIT2) intuitionistic fuzzy sets and their corresponding aggregation operators, namely, TIT2 intuitionistic fuzzy weighted averaging, TIT2 intuitionistic fuzzy ordered weighted averaging and TIT2 intuitionistic fuzzy hybrid averaging based on Frank norm operation laws.

Carbon Dot–MnO2 Nanosphere Composite Sensors for Selective Detection of Glutathione

Abstract: Herein, a fluorescence nanosensor based carbon dots (Cdots) and different size MnO2 nanospheres have been synthesized for rapid and detection of glutathione (GSH). The water soluble and highly fluo...