Prashant Kumar

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Verified

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• B.Tech, M.Tech, PhD
• Principal Scientist at Central Scientific Instruments Organisation

Monitoring air contaminants has become essential to exposure science, toxicology, and public health research. However, missing values are common while monitoring air contaminants, especially in resource-constrained settings such as power cuts, calibration, and sensor failure. In contaminants monitoring, evaluating existing imputation techniques for...

The current agriculture system has become complex and fragile in recent years. With an increase in population, the demand for food is increasing, but the resources such as arable land and water are limited, and clearing forest land for cultivation and over-extraction of groundwater are changing land-use patterns and depleting groundwater resources,...

Sustainable Development Goal (SDG) 17 emphasizes strengthening the means of implementing global partnerships through multisectoral and multinational approaches. SDG 17 aims to attain global partnership elements in financial capital, technology advancement, capacity building and skill development, trade and systemic issues at different constituencie...

Just as the value of crude oil is unlocked through refining, the true potential of air quality data is realized through systematic processing, analysis, and application. This refined data is critical for making informed decisions that may protect health and the environment. Perhaps ground-based air quality monitoring data often face quality control...

The ability to detect and prevent mental health deterioration has been one of the major achievements of digital psychiatry using artificial intelligence and machine learning. The aim of this paper is to address the issue of preventing the mental health disorders of young generation by developing a system to predict the changes in an individual's st...

Sustainable Development Goal (SDG) 17 emphasizes strengthening the means of implementing global partnerships through multisectoral and multinational approaches. SDG 17 aims to attain global partnership elements in financial capital, technology advancement, capacity building and skill development, trade and systemic issues at different constituencie...

Background: The current study reported the stigma of mental health issues among young college students, and analysed the effectiveness of Indian therapeutic interventions, Yoga and Rajyoga meditation, in improving the brain dynamics of Yoga college students. This study is the first of its kind that can provide the wavelet decomposition-based EEG fe...

The full text of this preprint has been withdrawn by the authors while they make corrections to the work. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.

The objective of this study was to examine the repeatability and reproducibility of landmark localization on panoramic images for PA (Posteroanterior) cephalometric analysis. Lateral, PA and panoramic images of 20 patients were acquired for landmark localization by 2 different observers 2 times each of them. 14 bilateral landmarks were plotted on 2...

Issues of providing mental health support to people with emerging or current mental health disorders are becoming a significant concern throughout the world. One of the biggest effects of digital psychiatry during COVID-19 is its capacity for early identification and forecasting of a person's mental health decline resulting in chronic mental health...

In many practical disciplines, time series modelling and forecasting a technique that predicts future values by analysing past values plays a significant role. In this study, we employ SARIMA (Seasonal Autoregressive Integrated Moving Average) methodologies to predic t PM2.5 concentration for Delhi. The result shows that the SARIMA model provides a...

This research work presents a study on the relationship between stress & related events with meditation practice and other socio-demographic variables during COVID 19 pandemic among healthy adults. In this cross-sectional survey design, healthy adults with and without practice of Raja yoga meditation completed stress, anxiety & depression related q...

The purpose of this study is to present the Hindi translation and validation of the Impact of Event Scale-Revised and to evaluate psychometric qualities of this scale in a sample of regular Rajyoga meditators to examine the psychological impact of Coronavirus on them. The convenience sampling method was used to collect the data from 801 Rajyoga med...

DRASTIC is a very simple and common model used for the assessment of groundwater to contamination. This model is widely used across the world in various hydrogeological environments for groundwater vulnerability assessment. US water well association Ohio developed DRASTIC model in 1987 and over the years several modifications have been done in this...

The formulation of an adequate and practical Atmospheric Air Quality Management Plan at different spatial scales at local (micro), city (medium), national (macro)), and temporal (short and long term) is an indispensable solution to prevent the public from air pollution health risk. The air quality monitoring system provides regulatory agencies a co...

Groundwater vulnerability assessment plays a vital role in earmarking the regions into several zones of the different vulnerability of contamination, thereby helping in proper land use management and groundwater monitoring. DRASTIC is the most widely used model for the assessment of the vulnerability of groundwater to contamination. The research ga...

DRASTIC is a widely used model to assess the vulnerability of groundwater to contamination across the world. It is used as a rapid regional assessment tool to segregate the regions (vulnerability maps) based on the pollution potential. The weights and ratings of the environmental factors under DRASTIC model are based on DELPHI network technique and...

Rapid industrialization and urbanization have led to the increased level of various hazardous gases in our environment, causing detrimental effects on our ecosystem including livestock and the mankind. These gases need to be monitored so that increase in the normal level of their concentration can be known and proper precautionary measures can be t...

Groundwater is a valuable renewable resource for human life. The two major threatening issues being faced by groundwater are its depletion and degradation which affect both the quantity and the quality of groundwater. Though scientific output has progressed well ahead in the domain of groundwater, very little has been done with respect to the estab...

The groundwater resources can be exhausted if no proper governance is done to safeguard their future.

Groundwater contamination assessment is a challenging task due to inherent complex dynamisms associated with the groundwater. DRASTIC is a very widely used rapid regional tool for the assessment of vulnerability of groundwater to contamination. DRASTIC has many lacunas in the form of subjectivities associated with weights and ratings of its hydro-g...

The water quality analysis has been an intriguing subject in the recent years because of the issues related to water resources. The work presents the application of the genetic algorithm to water samples containing contaminants for the optimal selection of electrode and the corresponding frequency for the better classification of various contaminan...

Access to potable water for the common people is one of the most challenging tasks in the present era. Contamination of drinking water has become a serious problem due to various anthropogenic and geogenic events. The paper demonstrates the application of evolutionary algorithms, viz., particle swan optimization and genetic algorithm to 24 water sa...

Groundwater contamination is a burning problem across the world. Fatehgarh Sahib district of Punjab is an agrarian land and facing severe groundwater related issues due to excessive usage of tube wells. The purpose of this study to earmark the areas of the study area where groundwater is vulnerable to contamination due to anthropogenic and geogenic...

The quality of groundwater has been declining in the Fatehgarh Sahib district of Punjab, India, over the last decade due to the enormous increase in the number of tube wells for the agricultural activities. The vulnerability of groundwater to contamination in the district was assessed using the DRASTIC model. Validation of vulnerable zones was unde...

This paper proposes a low cost approach for real time monitoring of potable water for distribution system as well as for consumer sites. Our approach will be based on the development of low cost sensor fusion system for real time and on-line monitoring of water quality index. The main node i.e. sensor fusion node will consist of several in-pipe ele...

Drinking water is of the utmost importance for the existence of the mankind. West Bengal is one of the most contaminated states of India as far as the underground water is concerned. Of all the contaminants, Arsenic is the most toxic element is found in the underground water. The detection of Arsenic is a difficult task and many research oriented p...

Arsenic contamination is a major problem across the world. There have been numerous cases of arsenic contamination in the world. Different countries are adopting different strategies in order to tackle down the hazardous consequences of arsenic contamination. West Bengal is one such state in India where arsenic contamination is severe in the ground...

Accurate estimation of the spatiotemporal surface dynamics is very important for natural resource planning. The paper discusses a novel approach for the study of the surface patterns of a particular glacier Rimo located at 35°21′21″N77°22′05″E, about 20 km northeast of the snout of the Siachen. Change detection in multiple images of the same locati...

Accurate and timely estimation of the spatiotemporal surface dynamics is very important for natural resource planning and disaster mitigation. This paper discusses a novel technique to assess the patterns of the surfaces of a particular severe landslide susceptible zone (Kullu-Larji-Rampur geological window, near Aut village, district Mandi, Himach...

Accurate and timely estimation of the spatiotemporal surface dynamics is very important for natural resource planning and disaster mitigation. The work carried out discusses a novel technique to assess the patterns of the surfaces of a particular severe landslide susceptible zone (Kullu-Larji-Rampur geological window, near Aut village, district...