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2,866 result(s) for "Kumar, Anuj"
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Unmanned aerial vehicles for Internet of Things (IoT) : concepts, techniques, and applications
\"The 15 chapters in this book explore the theoretical as well as a number of technical research outcomes on all aspects of UAVs. UAVs has widely differing applications such as disaster management, structural inspection, goods delivery, transportation, localization, mapping, pollution and radiation monitoring, search and rescue, farming, etc. The advantages of using UAVs are countless and have led the way for the full integration of UAVs, as intelligent objects into the IoT system. The book covers such subjects as: efficient energy management systems in UAV based IoT networks, IoE enabled UAVs, mind-controlled UAV using Brain-Computer Interface (BCI), the importance of AI in realizing autonomous and intelligent flying IoT, blockchain-based solutions for various security issues in UAV-enabled IoT, the challenges and threats of UAVs such as hijacking, privacy, cyber-security, and physical safety\"-- Provided by publisher.
Optimizing design parameters for slotted blade Savonius hydrokinetic turbine: A multi-fidelity approach
This study significantly improves the performance of slotted Savonius hydrokinetic turbine (SHT) by identifying an optimal configuration through a systematic investigation. This analysis, utilizing 2D CFD simulations coupled with Taguchi’s method, reveals that a two-bladed Benesh profile with a 0.1 overlap ratio is the optimal design. This configuration achieves a remarkable 90.98% improvement over the baseline semi-circular SHT, reaching a maximum power coefficient (C P ​) of 0.3537 at a TSR = 0.9. The Taguchi analysis demonstrates that the number of blades is the most critical factor influencing turbine performance, followed by blade shape, overlap ratio, and tip speed ratio. Notably, the slotted Benesh profile outperforms other slotted designs, while the airfoil profile excels among SHT designs without a slot. To validate the findings, 3D simulations are conducted on the Taguchi-optimized slotted SHT, showing a 9.52% reduction in maximum C P ​compared to the 2D results. Crucially, subsequent experimental investigations show strong agreement, with only a 4.23% deviation from the 3D simulation results. In conclusion, this research unequivocally demonstrates that incorporating a slot enhances SHT performance for the profiles studied, offering key insights for future designs.
Editorial: Introduction to the Special Issue
The third article “Do independent directors enhance better corporate governance in companies in India?” by Akshita Arora discusses the role of independent directors in making various autonomous decisions related to corporate governance and further examines their role in a company’s decision-making process. More powers need to be given to the independent directors, and their roles should not be influenced by senior management and other top officials. The fourth article “A study of customer satisfaction in using banking services through Artificial Intelligence (AI) in India” by Asmat Ara Shaikh, Arya Kumar, Apoorva Mishra and Yasir Arafat Elahi examines how artificial intelligence is helpful in improving the customer experience in banking services. Since the usage of artificial intelligence is in the nascent stage, it takes time to see whether customers find it reliable or not.
Consistency Indices in Analytic Hierarchy Process: A Review
A well-regarded as well as powerful method named the ‘analytic hierarchy process’ (AHP) uses mathematics and psychology for making and analysing complex decisions. This article aims to present a brief review of the consistency measure of the judgments in AHP. Judgments should not be random or illogical. Several researchers have developed different consistency measures to identify the rationality of judgments. This article summarises the consistency measures which have been proposed so far in the literature. Moreover, this paper describes briefly the functional relationships established in the literature among the well-known consistency indices. At last, some thoughtful research directions that can be helpful in further research to develop and improve the performance of AHP are provided as well.
Estimation of Number of Graphene Layers Using Different Methods: A Focused Review
Graphene, a two-dimensional nanosheet, is composed of carbon species (sp2 hybridized carbon atoms) and is the center of attention for researchers due to its extraordinary physicochemical (e.g., optical transparency, electrical, thermal conductivity, and mechanical) properties. Graphene can be synthesized using top-down or bottom-up approaches and is used in the electronics and medical (e.g., drug delivery, tissue engineering, biosensors) fields as well as in photovoltaic systems. However, the mass production of graphene and the means of transferring monolayer graphene for commercial purposes are still under investigation. When graphene layers are stacked as flakes, they have substantial impacts on the properties of graphene-based materials, and the layering of graphene obtained using different approaches varies. The determination of number of graphene layers is very important since the properties exhibited by monolayer graphene decrease as the number of graphene layer per flake increases to 5 as few-layer graphene, 10 as multilayer graphene, and more than 10 layers, when it behaves like bulk graphite. Thus, this review summarizes graphene developments and production. In addition, the efficacies of determining the number of graphene layers using various characterization methods (e.g., transmission electron microscopy (TEM), atomic force microscopy (AFM), scanning electron microscopy (SEM), X-ray diffraction (XRD), Raman spectra and mapping, and spin hall effect-based methods) are compared. Among these methods, TEM and Raman spectra were found to be most promising to determine number of graphene layers and their stacking order.
Microservices with Clojure
The microservice architecture is sweeping the world as the de facto pattern with which to design and build scalable, easy-tomaintain web applications. This book will teach you common patterns and practices, and will show you how to apply these using the Clojure programming language. This book will teach you the fundamental concepts of architectural design and RESTful communication, and show you patterns that provide manageable code that is supportable in development and at scale in production. We will provide you with examples of how to put these concepts and patterns into practice with Clojure. This book will explain and illustrate, with practical examples, how teams of all sizes can start solving problems with microservices. You will learn the importance of writing code that is asynchronous and non-blocking and how Pedestal helps us do this. Later, the book explains how to build Reactive microservices in Clojure that adhere to the principles underlying the Reactive Manifesto. We finish off by showing you various ways to monitor, test, and secure your microservices. By the end, you will be fully capable of setting up, modifying, and deploying a microservice with Clojure and Pedestal.
Microwave-assisted synthesized Co-doped Fe3O4 nanoparticles for superior electrocatalytic water splitting
The inherent catalytic efficiency of Fe3O4 nanoparticles (Fe3O4 NPs) for water splitting is unsatisfactory owing to its limited electronic conductivity and inadequate active sites necessary for both oxygen and hydrogen evolution processes (OER and HER). These issues have prompted the investigation of diverse approaches for Fe3O4 NPs, including doping with transition metals. Herein, the Co-doped Fe3O4 NPs were loaded on Ni-foam using a microwave-assisted method, and characterized by various analytical techniques. The electrochemical investigations demonstrated that Co-doped Fe3O4 NPs exhibit exceptional OER and HER performance, with minimal overpotentials of 146 mV and 210 mV at a current density of 10 mA/cm2, in contrast to Fe3O4 NPs, which showed overpotentials of 278 mV and 245 mV at the same current density. Theoretical investigations indicated that Co-doping substantially altered the electronic structure and optimised the active sites of Fe3O4 NPs, hence enhancing overall catalytic efficiency. This study presents an innovative approach for the synthesis of highly efficient, economical electrocatalysts for water splitting, with potential applications in clean energy generation and sustainable hydrogen production.
Jump around: transposons in and out of the laboratory version 1; peer review: 2 approved
Since Barbara McClintock's groundbreaking discovery of mobile DNA sequences some 70 years ago, transposable elements have come to be recognized as important mutagenic agents impacting genome composition, genome evolution, and human health. Transposable elements are a major constituent of prokaryotic and eukaryotic genomes, and the transposition mechanisms enabling transposon proliferation over evolutionary time remain engaging topics for study, suggesting complex interactions with the host, both antagonistic and mutualistic. The impact of transposition is profound, as over 100 human heritable diseases have been attributed to transposon insertions. Transposition can be highly mutagenic, perturbing genome integrity and gene expression in a wide range of organisms. This mutagenic potential has been exploited in the laboratory, where transposons have long been utilized for phenotypic screening and the generation of defined mutant libraries. More recently, barcoding applications and methods for RNA-directed transposition are being used towards new phenotypic screens and studies relevant for gene therapy. Thus, transposable elements are significant in affecting biology both in vivo and in the laboratory, and this review will survey advances in understanding the biological role of transposons and relevant laboratory applications of these powerful molecular tools.
Plant adaptation to drought stress
Plants in their natural habitats adapt to drought stress in the environment through a variety of mechanisms, ranging from transient responses to low soil moisture to major survival mechanisms of escape by early flowering in absence of seasonal rainfall. However, crop plants selected by humans to yield products such as grain, vegetable, or fruit in favorable environments with high inputs of water and fertilizer are expected to yield an economic product in response to inputs. Crop plants selected for their economic yield need to survive drought stress through mechanisms that maintain crop yield. Studies on model plants for their survival under stress do not, therefore, always translate to yield of crop plants under stress, and different aspects of drought stress response need to be emphasized. The crop plant model rice ( Oryza sativa ) is used here as an example to highlight mechanisms and genes for adaptation of crop plants to drought stress.
Density functional study of barium and strontium boron hydrides for hydrogen storage and optoelectronic applications
The structural, electronic, optical, mechanical, magnetic, thermal, and hydrogen storage properties of boron-based hydrides XBH 3 (X = Ba, Sr) are investigated in this work through DFT calculations using the WIEN2K Simulation Package. Their potential for H₂ storage is highlighted, underscoring their importance for energy storage applications. The studied boron-based hydrides, XBH 3 (X = Ba and Sr), crystallize in a cubic phase, according to structural optimizations. For BaBH 3 and SrBH 3 , the calculated lattice constants are 3.71 Å and 3.52 Å, respectively. These compounds are metallic, according to the analysis of their electronic properties. The Pugh index and Cauchy pressure confirmed the brittleness of both hydrides. A thorough examination of the formation energy, elastic characteristics, and phonon dispersion curves has verified that these materials are thermodynamically, mechanically, and dynamically stable. These materials have high dielectric functions in the visible spectrum, according to the optical properties of XBH 3 (X = Ba, Sr). The absorption spectra, on the other hand, show a noticeable peak in the ultraviolet region. The heat capacity curves of these hydrides indicate their capacity to conduct thermal energy effectively. XBH 3 (X = Ba, Sr) shows encouraging hydrogen storage capacities of 1.96 weight% and 2.89 weight%, respectively, according to gravimetric analysis. These findings demonstrate the perovskite hydrides’ significant potential for application in hydrogen storage systems and optoelectronics applications.