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Impact of geomorphometric parameters on the occurrence and distribution of landslides in Yamuna River Basin,North-Western Himalaya,India

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Journal of Mountain Science 2022年第8期19卷 2374-2396页

作者： Ravi SHANKAR Gyan Prakash SATYAM Prakash kumar SINGH Nilesh kumar rai Ranjit kumar PASWAN REED CSIR-Central Institute of Mining and Fuel ResearchDhanbad 826001India Department of Applied Geology Indian Institute of Technology(ISM)Dhanbad 826004India Department of Earth and Planetary Sciences University of AllahabadPrayagraj 211002Uttar PradeshIndia

The majority of landslides in the Indian Himalayas are triggered by rainfall and *** geology and geomorphology also play an important role and constitute the major predisposing factor controlling ***,active tectonics modify the landscape,impacting the occurrence and distribution of *** objective of this study is to investigate the role of some of the major predisposing factors to assess landslide patterns in the Yamuna River Basin as it is prone to recurrent landslide *** approach mainly deals with the application of geographical information system-based statistical analysis and quantifying frequency-area distribution of rainfalltriggered landslides for the years 2015 to *** analysis shows that the frequency of landslides is highest in the slope range 40°-70°and the mean landslide size is higher in the slope range 0°-20°and 30°-40°,remaining constant on further increase in slope *** study shows that some critical slope range controls both the frequency and size of *** were mostly restricted to south facing *** 91%of the landslide occur in the drainage density range of 1.2 to 2.1 km/km^(2) while landslides show very low occurrence in either lower(2.1)drainage *** distribution analysis of landslides depicts a distinct cutoff point but an indistinct rollover ***-sampling of small landslides can be a reasonable cause for *** other studies,the present data fits very well for medium and large landslides following an inverse power law with a scaling exponent *** 80% of landslides are smaller than the cutoff size and 20% larger than this *** geology and tectonics of Lesser Himalayas and Sivaliks offer favorable conditions for frequent *** such as Dehradun,Uttarkashi,Sirmaur,Shimla,and Solan are very prone to landslide activity owing to the presence of poorly consolidated sandstone,conglomerate,quartzites,phylli

关键词： Himalaya Geomorphometry Landslide Yamuna River Basin

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Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm

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Big Data Mining and Analytics 2023年第4期6卷 504-512页

作者： Gargi Pant Shukla santosh kumar Saroj kumar Pandey Rohit Agarwal Neeraj Varshney Ankit kumar the Department of Management Doon Business SchoolDehradun 248001India. Jaipuria Institute of Management Jaipur 302033India Department of Computer Engineering and Apllications GLA UniversityMathura 281406India.

In Computer-Aided Detection(CAD)brain disease classification is a vital ***’s Disease(AD)and brain tumors are the primary reasons of *** studies of these diseases are carried out by Magnetic Resonance Imaging(MRI),Positron Emission Tomography(PET),and Computed Tomography(CT)scans which require expertise to understand the *** disease is the most prevalent in the elderly and can be fatal in its later *** result can be determined by calculating the mini-mental state exam score,following which the MRI scan of the brain is *** from that,various classification algorithms,such as machine learning and deep learning,are useful for diagnosing MRI ***,they do have some limitations in terms of *** paper proposes some insightful pre-processing methods that significantly improve the classification performance of these MRI ***,it reduced the time it took to train the model of various pre-existing learning algorithms.A dataset was obtained from Alzheimer’s Disease Neurological Initiative(ADNI)and converted from a 4D format to a 2D *** clipping,grayscale image conversion,and histogram equalization techniques were used to pre-process the *** pre-processing,we proposed three learning algorithms for AD classification,that is random forest,XGBoost,and Convolution Neural Networks(CNN).Results are computed on dataset and show that it outperformed with exiting work in terms of accuracy is 97.57%and sensitivity is 97.60%.

关键词： alzheimer’s disease deep learning random forest XGBoost

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CFD modeling to study the effect of particle size on dispersion in 20l explosion chamber: An overview

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International Journal of Mining Science and Technology 2020年第3期30卷 321-327页

作者： santosh kumar Ray Niroj kumar Mohalik Asfar Mobin Khan Debashish Mishra Nikhil kumar Varma Jai Krishna Pandey Pradeep kumar Singh CSIR-Central Institute of Mining and Fuel Research Dhanbad 826001India

Mine disasters occur predominantly due to methane or coal dust explosion or a combination of *** the top ten worst coal mine disasters in India, nine are due to coal dust explosion. The current paper describes a general overview of the parameters causing dispersion leading to coal dust explosion,and computational fluid dynamics(CFD) simulation study to observe the effects of particle size on dispersion in Indian coal mines. Turbulent kinetic energy(TKE) and velocity vector path of dust-air mixture and dust-free air were simulated to understand their effects on coal dust dispersion. The TKE contours and velocity vector paths for dust-free air were uniform and symmetrical due to resistance-free path available. The TKE contours and velocity vector paths for dust-air mixture shows the asymmetrical distribution of contours, due to entrainment of air with dust particles. Vortices were observed in velocity vector paths which gradually diminish on increment of time sequence. These vortices are dead centres where velocity and coal dust particles concentration are both zero.

关键词： Coal dust explosibility CFD 20l explosion chamber Dispersion Turbulent kinetic energy

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A detailed study on trust management techniques for security and privacy in IoT:challenges,trends,and research directions

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高置信计算(英文) 2023年第2期3卷 71-82页

作者： Himani Tyagi Rajendra kumar santosh Kr Pandey Department of Computer Science Jamia Millia IslamiaNew Delhi 110025India Department of EC&IT MeityNew Delhi 110003India

The Internet of Things is a modern technology that is directed at easing human life by automating most of the things used in daily *** never-ending dependency on the network for communication is attracting adversaries to exploit the vulnerabilities of ***,this technology is facing some serious issues and challenges concerning security and *** issues and challenges are the real motivation behind considering this ***,this survey includes a discussion about security and privacy challenges as well as available solutions for IoT based wireless sensor *** systematic literature review(SLR)focuses particularly on a popular and applicable security approach known as Trust Management System(TMS).Firstly,all aspects of trust management,including trust indicators,trust properties,trust evaluation,trust building,trust models and the importance of those models for security and privacy,trust prediction methodologies,and ultimately trust-based attacks,are covered in this ***,trust management schemes are classified into four groups based on the methodology used for trust-based security solutions in the IoT:cryptography-based,computational and probabilistic-based,information theory-based,and ***,an understanding of the problems and difficulties with current methodologies is given,along with suggestions for further ***,the SLR is concluded by formulating the desirable characteristics of a trust management system in the IoT and proposing a trust model suitable for IoT networks.

关键词： Trust Trust management approaches IoT Security Privacy Reliability Attacks Trust attributes Systematic literature review Cybersecurity

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Numerical solution of generalized DPL model using wavelet method during thermal therapy applications

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International Journal of Biomathematics 2019年第3期12卷 169-190页

作者： P.kumar K.N.rai Department of Mathematics H. R. College Amnour (A Constituent Unit of J. P. University) Saran-841401 India Department of Mathematical Sciences IIT (BHU) Varanasi India

In this paper, generalized dual-phase-lag (DPL) model has been studied for the numerical analysis of spatial variation of temperature within living biological tissues during thermal therapy applications. A new hybrid numerical scheme based on finite difference scheme and Chebyshev wavelet Galerkin method are used to solve the generalized DPL model with constant heat flux boundary condition. Multi-resolution and multi-scale computational property of Chebyshev wavelet in the present case localizes small scale variations of solution and fast switching of functional bases. Our study demonstrates that due to presence of coupling factor (convection–perfusion), generalized DPL model predicts lower temperature than classical DPL and Pennes model at the tumor position. Higher values of phase lag times results in lower temperature at the tumor position. But, in case of variation of phase lag time due to temperature gradient, the nature of temperature profile also depends on the spatial coordinate. The effect of the blood temperature, porosity and interfacial convective heat transfer on temperature distribution has been investigated. It is found that larger values of porosity and interfacial convective heat transfer results in lower temperature at the tumor position. Also, both porosity and interfacial convective heat transfer are pronounced more at higher values. The whole analysis is presented in dimensionless form.

关键词： Chebyshev wavelet Galerkin method Generalized DPL model Nonequilibrium bioheat transfer Thermal therapy

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Near-infrared 3D imaging with upconversion detection

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Photonics Research 2022年第12期10卷 2760-2767页

作者： HE ZHANG santosh kumar YONG MENG SUA SHENYU ZHU YU-PING HUANG Department of Physics Stevens Institute of TechnologyHobokenNew Jersey 07030USA Center for Quantum Science and Engineering Stevens Institute of TechnologyHobokenNew Jersey 07030USA

We demonstrate a photon-sensitive,three-dimensional(3D)camera by active near-infrared illumination and fast time-of-flight *** uses picosecond pump pulses to selectively upconvert the backscattered photons according to their spatiotemporal modes via sum-frequency generation in a χ^(2) nonlinear crystal,which are then detected by an electron-multiplying CCD with photon sensitive *** such,it achieves sub-millimeter depth resolution,exceptional noise suppression,and high detection *** results show that it can accurately reconstruct the surface profiles of occluded targets placed behind highly scattering and lossy obscurants of14 optical depth(round trip),using only milliwatt illumination *** technique may find applications in biomedical imaging,environmental monitoring,and wide-field light detection and ranging.

关键词： illumination exceptional multiply

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TGA/DSC study to characterise and classify coal seams conforming to susceptibility towards spontaneous combustion

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International Journal of Mining Science and Technology 2022年第1期32卷 75-88页

作者： Niroj kumar Mohalik Somu Mandal santosh kumar Ray Asfar Mobin Khan Debashish Mishra Jai Krishna Pandey CSIR-Central Institute of Mining and Fuel Research(CIMFR) Dhanbad 826015India Academy of Scientific and Innovative Research(AcSIR) Ghaziabad 201002India

Thermogravimetric analysis/differential scanning calorimeter(TGA/DSC)technique along with basic coal characteristics study is carried out for eighty coal samples of Indian coalfields,to determine spontaneous combustion propensity behaviour of *** study of coal samples indicates that there is an increase in the mass of coal samples in the temperature range 150-350℃,which may be due to oxygen adsorption and *** correlation and principal component analysis states that the component of proximate analysis(M_(ad),VM_(d),FR,and VR)have an acceptable correlation with the TGA experiments results i.e.,Tgsh and *** fixed nonlinear regression analysis shows that thermogravimetry(TG)experiment results Tgign may be the best index to categorise/classify the coal as per their susceptibility towards spontaneous *** authors proposed four groups of classification as per their propensity towards spontaneous combustion depending upon the moisture(M_(ad)),volatile matter(VM_(d)),and TG ignition temperature from differential thermogravimetric(DTG)curve(Tgign)using hierarchal clustering *** coal samples of different seams from Indian coalfield may be classified into four different clusters,*** highly/extremely susceptible(Tgign320℃).The field observations and TGA/DSC experiment results with the following statistical analysis substantiate a similar assessment.

关键词： Coal TGA/DSC Spontaneous combustion TG ignition

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Measurement-while-drilling technique and its scope in design and prediction of rock blasting

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International Journal of Mining Science and Technology 2016年第4期26卷 711-719页

作者： rai Piyush Schunnesson Hakan Lindqvist Per-Arne kumar Uday Department of Mining Engineering Indian Institute of Technology Banaras Hindu University Varanasi 221005 India Division of Mining and Geotechnical Engineering Lulea Technological University Lulea 97187 Sweden Department of Mining Engineering Lulea Technological University Lulea 97187 Sweden Division of Operations and Maintenance Engineering Lulea Technological University Lulea 97187 Sweden

With rampant growth and improvements in drilling technology, drilling of blast holes should no longer be viewed as an arduous sub-process in any mining or excavation process. Instead, it must be viewed as an important opportunity to quickly and accurately measure the geo-mechanical features of the rock mass on-site, much in advance of the downstream operations. It is well established that even the slightest variation in lithology, ground conditions, blast designs vis-a-vis geologic features and explosives performance, results in drastic changes in fragmentation results. Keeping in mind the importance of state-of-the-art measurement-while-drilling （MWD） technique, the current paper focuses on integrating this technique with the blasting operation in order to enhance the blasting designs and results. The paper presents a preliminary understanding of various blasting models, blastability and other related concepts, to review the state-of-the-art advancements and researches done in this area. In light of this, the paper highlights the future needs and implications on drill monitoring systems for improved information to enhnnrp th~ hl^tin~ r^HIt~

关键词： Rock blasting Drill monitoring parameters Rock factor Drill rod vibrations

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Impact of COVID-19 Pandemic on Mental Health of Healthcare Workers–A Perception of Indian Hospital Administrators

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International Journal of Mental Health Promotion 2023年第7期25卷 833-845页

作者： Anahita Ali santosh kumar Faculty of Public Health Poornima UniversityJaipur303905India

Since the coronavirus pandemic,many factors led to the change in the mental well-being of hospital administrators and their *** pandemic negatively impacted the availability and capability of health professionals to deliver essential services and meet rising ***,this study aimed to understand the perspective of hospital administrators about issues and challenges that negatively impacted their staff’s mental health and hospital administrators’coping response to mitigate those challenges and *** exploratory qualitative study was conducted with 17 hospital administrators(superintendents,deputy superintendents,nursing in charge and hospital in charge)working in a government district hospital of Rajasthan state during September 2022 and October *** study revealed various emerging themes on mental health-related issues,challenges and coping strategies reported by the *** and sub-themes that emerged from this study were 1)Perceived mental health of HCWs-perceived importance of mental health,2)Impact of COVID-19 on the mental health of HCWs–common mental health issues,changes in mental health pre and post-pandemic,3)Impact of COVID-19 on health behavior of HCWs-increased self-care and awareness,4)Challenges responsible for poor mental health of HCWs-organizational,ethical and societal challenges and 5)Strategies to retain mental health of HCWs-effective coping *** most common problems were increased levels of stress,feeling fatigued,tiredness,weak and anxiety among the *** their staff motivated was the biggest challenge *** support,counseling through professionals and demystifying myths were the most effective coping strategies adopted by the *** conclusion,this study reported poor mental health-related issues,challenges faced by the HCWs and effective strategies adopted by hospital administrators during tough *** study will assist hospital administrators in developing i

关键词： Coping strategies Indian administrators Indian healthcare workers qualitative study COVID-19 mental health

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Analysis of thermal injuries using classical Fourier and DPL models for multi-layer of skin under different boundary conditions

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International Journal of Biomathematics 2021年第6期14卷 85-114页

作者： Rajneesh kumar Chaudhary Dinesh kumar Kabindra Nath rai Jitendra Singh Department of Mathematics Institute of Science Banaras Hindu UniversityVaranasi-221005India Department of Mathematics Govt.Polytechnic College Nawada-805122BiharIndia Department of Mathematical Sciences IIT-BHU Varanasi-221005India

In this paper,the temperature distribution in the multi-layer of the skin is studied when the skin surface is subjected to most generalized boundary *** skin model consists of three layers known as the epidermis,dermis,and subcutaneous *** layers of skin are assumed to be connected with point of interface condition and taking the barrier in between each of the two layers by symmetric flux condition and analyzing each layer *** classical Fourier and non-Fourier(DPL)models are extended to analyze the behavior of heat transfer in the multi-layer of the *** Laplace transform technique is used to derive analytical solutions for the multi-layer of skin *** effects of the variability of different parameters such as relaxation time,layer thickness,and different types of boundary conditions on the behavior of temperature distribution in the multi-layer of skin are analyzed and discussed in *** the effects are shown *** has been observed that during temperature distribution in the multi-layer of skin,the measurement of skin damage is less on the DPL model(rq>Tt)in comparison to the classical Fourier model.

关键词： Skin of multi-layer generalized boundary condition dual-phase lagging burn effect relaxation time Laplace transform technique

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