3,333 research outputs found
Computational methodologies for electrical and electronics engineers/ Rajiv Singh, Ashutosh Kumar Singh, Ajay Kumar Dwivedi, P. Nagabhushan.
No full text"Premier Reference Source" -- Cover.Includes bibliographical references and index."This book examines the application of intelligence computational techniques and methods in energy and power systems"--Computational methodologies for electrical and electronics engineers / Rajiv Singh, GB. Pant University of Agriculture & Technology, India, Ashutosh Singh, IIIT Allahabad, India -- A brief study of electrical drives for industrial internet of things environment / Paramasivam Alagumariappan, B.S., Abdur Rahman Crescent Institute of Science and Technology -- Solving power system protection coordination using various variants optimization methods based PSO : Directional over current relays coordination using PSO variants / Belkacem Mahdad, University of Biskra, Algeria, Mancer Nabil, Department of Electrical Engineering, Faculty of Science Technology, Constantine 1 University, Algeria.1 online resource (xix, 281 pages)
sj-docx-1-pie-10.1177_09544089221111291 - Supplemental material for Estimation of fatigue crack growth rate in different zones of friction stir welded AA7039
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089221111291 for Estimation of fatigue crack growth rate
in different zones of friction stir welded AA7039 by Chaitanya Sharma, Vijay Verma, Basanthkumar and
Sumit Kumar Sharma, Ajay Tripathi, Sanjay Kumar Singh, Pankaj Sonia in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
sj-docx-1-hol-10.1177_09596836231157066 – Supplemental material for Late-Holocene wildfire record from the Stagmo peat section, Leh valley, NW Himalaya
No full textSupplemental material, sj-docx-1-hol-10.1177_09596836231157066 for Late-Holocene wildfire record from the Stagmo peat section, Leh valley, NW Himalaya by Sumit Sagwal, Dipanwita Sengupta, Anil Kumar, Som Dutt, Pradeep Srivastava, Rajesh Agnihotri, Sanjay Kumar Singh Gahlaud, Partha Sarathi Jena, Ajay Shivam and Ravi Bhushan in The Holocene</p
sj-jpg-2-hol-10.1177_09596836231157066 – Supplemental material for Late-Holocene wildfire record from the Stagmo peat section, Leh valley, NW Himalaya
No full textSupplemental material, sj-jpg-2-hol-10.1177_09596836231157066 for Late-Holocene wildfire record from the Stagmo peat section, Leh valley, NW Himalaya by Sumit Sagwal, Dipanwita Sengupta, Anil Kumar, Som Dutt, Pradeep Srivastava, Rajesh Agnihotri, Sanjay Kumar Singh Gahlaud, Partha Sarathi Jena, Ajay Shivam and Ravi Bhushan in The Holocene</p
Multiple magnetic interactions and large inverse magnetocaloric effect in TbSi and TbSi0.6Ge0.4
No full textWe present a comprehensive investigation of the electronic structure, magnetization, specific heat, and crystallography of TbSi (FeB structure type) and TbSi0.6Ge0.4 (CrB structure type) compounds. Both TbSi and TbSi0.6Ge0.4 exhibit two antiferromagnetic (AFM) transitions at TN1≈ 58~K and 57~K, and TN2≈ 36~K and 44~K, respectively, along with an onset of weak metamagnetic-like transition around 6~T between TN1 and TN2. High-resolution specific heat (CP) measurements show the second- and first-order nature of the magnetic transition at TN1 and TN2, respectively, for both samples. However, in the case of TbSi, the low-temperature (LT) AFM to high-temperature (HT) AFM transition takes place via an additional AFM phase at the intermediate temperature (IT), where both LT to IT AFM and IT to HT AFM phase transitions exhibit a first-order nature. Both TbSi and TbSi0.6Ge0.4 manifest significant magnetic entropy changes (ΔSM) of 9.6 and 11.6~J/kg-K, respectively, for Δμ0H=7~T, at TN2. The HT AFM phase of TbSi0.6Ge0.4 is found to be more susceptible to the external magnetic field, causing a significant broadening in the peaks of ΔSM curves at higher magnetic fields. Temperature and field-dependent specific heat data have been utilized to construct the complex H-T phase diagram of these compounds. Furthermore, temperature-dependent x-ray diffraction measurements demonstrate substantial magnetostriction and anisotropic thermal expansion of the unit cell in both samples.This is a preprint from Kumar, Ajay, Prashant Singh, Andrew Doyle, Deborah L. Schlagel, and Yaroslav Mudryk. "Multiple magnetic interactions and large inverse magnetocaloric effect in TbSi and TbSi Ge ." arXiv preprint arXiv:2405.06777 (2024). doi: https://doi.org/10.48550/arXiv.2405.06777. Published as Kumar, Ajay, Prashant Singh, Andrew Doyle, Deborah L. Schlagel, and Yaroslav Mudryk. "Multiple magnetic interactions and large inverse magnetocaloric effect in TbSi and TbSi 0.6 Ge 0.4." Physical Review B 109, no. 21 (2024): 214410.
doi: https://doi.org/10.1103/PhysRevB.109.214410
Fungal metabolites as a natural source of herbicide: a novel approach of weed management: Ajay Kumar Singh* and Akhilesh Kumar Pandey Mycological Research Laboratory, Department of Biological Science Rani Durgawati University, Jabalpur-482001, Madhya Pradesh. India *Corresponding Author: Dr Ajay Kumar Singh [email protected]
No full textWeeds are undesirable vegetation directly or indirectly inferring with human welfare. Conventional methods of weed control have failed due to one or other reason. Herbicide-resistant weeds are the main problem in weed control due to the number of weed biotypes resistant to herbicides that constantly increases by the continuous use of the same products for years. Development of alternative weed control methods is needed to help decrease reliance on herbicide use. Biological weed control is an alternative option for weed problems, particularly in agriculture and forestry. It is based on the use of natural enemies, particularly insects and pathogens to control weeds, as a sustainable, low cost and more environmentally acceptable method of weed control. One of the approaches to biological weed control using fungal phytotoxin applied in similar ways to conventional herbicides. Fungal phytotoxins are natural secondary metabolites produced by plant pathogenic fungi during host–pathogen interactions. They have received considerable particular attention for elucidating disease etiology, and consequently to design strategies for disease control. Due to wide differences in their chemical structures, these toxic metabolites have different ecological and environmental roles and mechanisms of action. This review aims at summarizing the studies on the possible use of fungal phytotoxin as a lucrative, novel source of secondary phytotoxic herbicidal compounds for management of broad spectrum, noxious and pernicious weeds
Highlighting the effect of heterogeneous blood perfusion on radio-frequency ablation of human brain tumors: An image-based numerical investigation
No full textAjay Bhandari would like to acknowledge the support received by a grant from the Science and Engineering Research Board (Grant Number: SRG/2021/000053). Wenbo Zhan acknowledges the support received from the Royal Society of Edinburgh (Grant Number: SAPHIRE-2999). Both authors would like to acknowledge the support received from the Royal Society (Grant Number: IES\R1\221015). Anup Singh acknowledges the support received from Science and Engineering Research Board (Grant Number: CRG/2019/005032).Peer reviewe
An Adaptive Zooming Algorithm for Images
No full textImage zooming is the process of enlarging the image to as desired magnification
factor. But while enlarging an image there are few parameters that we have to keep in
mind. When the image is zoomed, artifacts like blurring, jagging and ghosting may
arise. So the main focus is on the reduction of these artifacts.
Our algorithm deals with the edges. It is basically designed to preserve the edges.
It’s as adaptive zooming algorithm which focuses on preserving edges. Our algorithm
reduces the jagging. Blurring is reduced a lot in our algorithm.
To compare our algorithm with existing algorithms, we have taken few real world
images and results are visually compared. And we have come to the decision that our
algorithm is better than the traditional methods. We have compared the images by
four ways – MAE, MSE, CCC, and PSNR
ICTs and rural development in India
No full textThis monograph compares the methodologies and progress of the different existing models of information and communication technology (ICT) use for broad-based development and economic growth in India. It will examine the role of complementary reforms in government administration and policies. The focus is chiefly on the rural economy, where the developmental needs are the greatest, and the use of ICTs presents the most challenges. It examines the nature of benefits in areas such as education, health, market efficiency, and democratic participation, the channels through which impacts can be realized, and the practical means for realizing potential benefits, including organizational innovations and government policy as well as structural changesIndia; ICTs; Internet; development
Low-Rate Flow Table Overflow Detection For SDN
No full textSoftware-Defined Networking (SDN) in 5G has emerged to reconfigure traditional network architectures by offering programmability for dynamic service provisioning, which
is mainly supported by the OpenFlow (OF) protocol. Within an OpenFlow-enabled SDN
framework, the control plane orchestrates packet forwarding by establishing connections
with switches and populating their flow tables with precise flow entries. However, these
flow tables are built using ternary content-addressable memory (TCAM), that have
limited storage capacity. This limitation makes SDN prone to Low-Rate Flow Table
Overflow (LFTO) attacks, slowly degrading the performance and network efficiency by
filling flow tables with malicious flow entries.
To address this vulnerability, we propose various machine learning, deep Learning
and quantum-based detection frameworks that classify LFTO attacks into malicious
and regular traffic by utilizing advanced feature selection techniques, feature scaling,
and addressing data imbalance through Synthetic Minority Over-sampling Technique
(SMOTE). Moreover, the proposed framework was evaluated, including Decision Tree,
Random Forest, Long Short-Term Memory (LSTM) and Quantum Neural Networks
(QNN). The LSTM model achieved 99.14% accuracy and 99.96% recall, while the
Random Forest and Decision Tree models reached 99.27% and 99.02% accuracy, respectively. Additionally, the quantum-based detection model achieved an accuracy of
98.49%. Hence, the results from our analysis illustrate that the proposed framework for
detecting LFTO attacks maintains seamless data packet forwarding and safeguards the
finite capacity of flow table resources within SDN environments
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