Narula Institute of Technology

About: Narula Institute of Technology is a based out in . It is known for research contribution in the topics: Quantum dot cellular automaton & Cognitive radio. The organization has 288 authors who have published 490 publications receiving 2258 citations. The organization is also known as: NiT.

Design of Portable Integrated Sensor System for Local Monitoring of Climate Change

Abstract: Integrated sensor has gained popularity because of its compactness, multi-sensing ability, and ease of use in recent days. It is used to measure the multiple physical parameters simultaneously. The paper examines the issues and challenges of implementing an integrated sensor for real-time monitoring of climate change in small locations. The designed experimental system can measure the temperature, humidity, and pressure simultaneously for the local area using an integrated sensor. The developed system is portable and capable of acquiring the data and provides information to various applications remotely. The overall system shows an advantage in cost, power availability, connection range, and inbuilt display of gathered data. The results obtained show the applicability of integrated sensors having very low deviations from standard readings.

Stochastic Simulation Based GA Approach to Solve Chance Constrained Bilevel Programming Problems in Inexact Environment

Abstract: This article presents how the genetic algorithm (GA) based stochastic simulation can be used for solving fuzzy goal programming (FGP) model of a chance constrained bilevel programming problem (BLPP). A numerical example is solved to illustrate the proposed approach.

Speckle Noise Reduction of In Vivo Ultrasound Image Using Multi-frame Super-Resolution Through Sparse Representation

Abstract: An approach for speckle noise reduction in in vivo medical ultrasound image has been proposed. The proposed technique makes use of multi-frame-based super-resolution (SR) image reconstruction which further is performed through sparse representation. This approach makes use of dictionary learning using medical ultrasound images as training data. Furthermore, for the preparation of multiple looks or frames, LoG (Laplacian of Gaussian) filter has been used to make noisy frames which helps in preserving the typical texture of speckle noise generated in real medical ultrasound images. The sets of data include real ultrasound images displayed from in vivo raw RF ultrasound echo.

Brain Activation in Chronic Nonspecific Low Back Pain : A Systematic review and ALE Meta-analysis

Abstract: Pain, a protective mechanism turns into a pathologic response when it becomes chronic. Recent evidences are pointing towards neuroplastic brain changes as the primary factor for the persisting pain in chronic nonspecific low back pain (cLBP). To summarise the previous fMRI studies, a coordinate-based ALE meta-analysis of resting functional brain imaging studies is carried out to identify the clusters activated in the brain in cLBP. Literature survey: ‘PubMed’, ‘Scopus’ and ‘Sleuth’ were searched for studies with resting functional whole-brain imaging in cLBP. Till October 2020; 258, 238, and 7 studies were found respectively after search. The activity pattern was documented in ‘without stimulation’ and ‘with stimulation’ groups. The risk of bias was assessed by Joanna Briggs Institute critical appraisal checklist for analytical cross-section studies. Total seven (224 cLBP patients, 110 activation foci) and six studies (106 cLBP patients, 66 activation foci) were selected among 277 studies for metanalysis in the ‘without stimulation’ and ‘with stimulation’ group respectively. In the ‘without stimulation’ group 8 statistically significant clusters were found. The clusters are distributed in the prefrontal cortex, primary somatosensory cortex, and primary motor cortex, anterior cingulate cortex, insular cortex, putamen, claustrum, amygdala, and associated white matters in both hemispheres. On the other group, 3 statistically significant clusters were found in the frontal cortex, Parietal cortex, and Insula. In the ‘with stimulation’ group, significant lateralization was observed and most of the clusters were in the right hemisphere. The white matter involvement was more in the ‘with stimulation’ group (78.62% Vs 38.21%). The statistically significant clusters found in this study indicate a probable imbalance in GABAergic modulation of brain circuit and dysfunction in descending pain modulation system. This disparity in pain neuro-matrix is the source of spontaneous and persisting pain in cLBP.