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Institution

Thapar University

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


Papers
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Journal ArticleDOI
TL;DR: In this article, a one-pot hydrothermal synthesis of mixture of tin disulfide (SnS2) quantum dots (QDs) and nanodiscs (NDs), supported on reduced graphene oxide (RGO) sheets based photocatalysts for degradation of toxic industrial dye, remazol brilliant red (RBR) and remazols brilliant blue (RBB) under visible light irradiation.

79 citations

Journal ArticleDOI
14 Apr 2020-Sensors
TL;DR: This paper proposes an approach to recognize physical activities using only 2-axes of the smartphone accelerometer sensor and investigates the effectiveness and contribution of each axis of the accelerometer in the recognition of physical activities.
Abstract: Recognizing human physical activities from streaming smartphone sensor readings is essential for the successful realization of a smart environment. Physical activity recognition is one of the active research topics to provide users the adaptive services using smart devices. Existing physical activity recognition methods lack in providing fast and accurate recognition of activities. This paper proposes an approach to recognize physical activities using only2-axes of the smartphone accelerometer sensor. It also investigates the effectiveness and contribution of each axis of the accelerometer in the recognition of physical activities. To implement our approach, data of daily life activities are collected labeled using the accelerometer from 12 participants. Furthermore, three machine learning classifiers are implemented to train the model on the collected dataset and in predicting the activities. Our proposed approach provides more promising results compared to the existing techniques and presents a strong rationale behind the effectiveness and contribution of each axis of an accelerometer for activity recognition. To ensure the reliability of the model, we evaluate the proposed approach and observations on standard publicly available dataset WISDM also and provide a comparative analysis with state-of-the-art studies. The proposed approach achieved 93% weighted accuracy with Multilayer Perceptron (MLP) classifier, which is almost 13% higher than the existing methods.

79 citations

Journal ArticleDOI
TL;DR: This paper proposes fractional-order Zernike moments (FZM) along with SVM to recognize grape leaf diseases and shows that FZM–SVM-based technique outperforms other state-of-art techniques.
Abstract: Orthogonal moments are the projections of image functions onto particular kernel functions. They play vital role in digital image feature extraction being rotation, scaling, translation invariant, robust to image noise and contain minimal information redundancy. These moments are derived from statistically independent orthogonal polynomials which can be continuous or discrete. Most of the modern researches have explored integer-order orthogonal moments, but fractional-order moments are in fact superclass of integer order and more efficient but underrated. This paper proposes fractional-order Zernike moments (FZM) along with SVM to recognize grape leaf diseases. Comparative analysis with integer-order Zernike moments along with other feature selection methods has been explored. FZM–SVM-based technique outperforms other state-of-art techniques yielding $$97.34\%$$ at order 30.

79 citations

Journal ArticleDOI
TL;DR: A novel fuzzy set extended form neutrosophic logic based segmentation technique is used to evaluate the region of interest and a new feature set is promising and 98.4% classification accuracy is achieved.

79 citations

Journal ArticleDOI
TL;DR: A new cluster head selection algorithm in wireless sensor networks, coined as GADA-LEACH, makes use of Genetic Algorithm (GA) for optimized CH selection and concept of relay node for Distance Aware (DA) routing to reduce energy dissipation and improve the network lifetime.

79 citations


Authors

Showing all 3035 results

NameH-indexPapersCitations
Gaurav Sharma82124431482
Vinod Kumar7781526882
Neeraj Kumar7658718575
Ashish Sharma7590920460
Dinesh Kumar69133324342
Pawan Kumar6454715708
Harish Garg6131111491
Rafat Siddique5818311133
Surya Prakash Singh5573612989
Abhijit Mukherjee5537810196
Ajay Kumar5380912181
Soumen Basu452477888
Sudeep Tanwar432635402
Yosi Shacham-Diamand422876463
Rupinder Singh424587452
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202347
2022149
20211,237
20201,083
2019962
2018933