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Novel quantum inspired approaches for automatic clustering of gray level images using Particle Swarm Optimization, Spider Monkey Optimization and Ageist Spider Monkey Optimization algorithms
This paper is intended to identify the optimal number of clusters automatically from an image dataset using some quantum behaved nature inspired meta-heuristic algorithms. Due to the lack of sufficient information, it is difficult to identify the appropriate number of clusters from a dataset, which has enthused the researchers to solve the problem of automatic clustering and to open up a new era of cluster analysis with the help of several natures inspired meta-heuristic algorithms. In this paper, three quantum inspired meta-heuristic techniques, viz., Quantum Inspired Particle Swarm Optimization (QIPSO), Quantum Inspired Spider Monkey Optimization (QISMO) and Quantum Inspired Ageist Spider Monkey Optimization (QIASMO), have been proposed. A comparison has been outlined between the quantum inspired algorithms with their corresponding classical counterparts. The efficiency of the quantum inspired algorithms has been established over their corresponding classical counterparts with regards to fitness, mean, standard deviation, standard errors of fitness, convergence curves (for benchmarked mathematical functions) and computational time. Finally, the results of two statistical superiority tests, viz., t- test and Friedman test have been provided to prove the superiority of the proposed methods. The superiority of the proposed methods has been established on five publicly available real life image datasets, five Berkeley image datasets of different dimensions and four benchmark mathematical functions both visually and quantitatively. 2019 Elsevier B.V. -
Novel Secondary Metabolites from Mangrove Flora: Chemistry and Bioactivity
Secondary metabolites found in abundance in mangrove plants play a vital role in enabling these plants to withstand challenging environmental circumstances. Over the years, studies on the isolation and characterization of secondary compounds from mangroves have shown that they include a vast number of novel compounds that have not been previously described. Mangrove secondary compounds have been shown to feature unique carbon skeletons, unique ring systems, or peculiar structural moieties. These new substances have also shown a range of biological activity. We reviewed a variety of new compounds in this review, along with their structural variations and biological activity. Springer Nature Switzerland AG 2026. -
Novel soliton solutions of four sets of generalized (2+1)-dimensional Boussinesq-Kadomtsev-Petviashvili-like equations
In this paper, we examined four different forms of generalized (2+1)-dimensional Boussinesq-Kadomtsev-Petviashvili (B-KP)-like equations. In this connection, an accurate computational method based on the Riccati equation called sub-equation method and its Bklund transformation is employed. Using this method, numerous exact solutions that do not exist in the literature have been obtained in the form of trigonometric, hyperbolic, and rational. These solutions are of considerable importance in applied sciences, coastal, and ocean engineering, where the B-KP-like equations modeled for some significant physical phenomenon. The graph of the bright and dark solitons is presented in order to demonstrate the influence of different physical parameters on the solutions. All of the findings prove the stability, effectiveness, and accuracy of the proposed method. 2022 World Scientific Publishing Company. -
Novel splitring resonator antennas for biomedical application
Our paper presents the design and development of split ring resonator based metamaterial antenna for biomedical i.e., Industrial, Scientific and Medical(ISM-2.45GHz) applications and also used in biosensors. Now a day the biological changes in the human body such as glucose content in blood, heart rate, respiratory rate, brain tumor are monitored by the use of wireless body area networks. In such networks the main part of the system is antenna with compactness and wider bandwidth. We have designed gain enhanced and wide bandwidth antennas with size reduction of more than 95% compared to the conventional patch antenna. The design methodology is based on Metamaterial which is an emerging technology uses split ring resonators for size reduction. We have designed double square split ring shape superstrate antenna and circular ring resonator antenna with stub for 2.48GHz. Also they have better return loss (>12dB). Our antennas are fed with microstrip feeding and Coplanar Waveguide (CPW) feeding for better impedance matching and easy fabrication. The fabricated antennas are tested using Network analyzer. The measured results are good in agreement with simulated results. 2015, Journal of Pure and Applied Microbiology. All rights reserved. -
Novel super stack passivation in AlGaN/GaN HEMT for power electronic applications
A super-stack passivation technique is proposed for an AlGaN/GaN HEMT in order to improve the breakdown voltage and cutoff frequency. The performance of the proposed technique is benchmarked against a conventional GaN HEMT. The analysis and investigation are carried out using Technology Computer-Aided Design (TCAD). The simulation results are validated with experimental data. It is observed that the breakdown voltage of the conventional and proposed devices is 356V and 449V, respectively. In contrast to the conventional device, the breakdown voltage of the proposed device is improved by 21%. This is the manifestation of the suppression of the electric field by the super-stack passivation technique in the proposed device. Furthermore, it is also observed that the Johnsons figure of merit in the proposed GaN-HEMT is also improved. 2024 The Author(s). Published by IOP Publishing Ltd. -
Novel synthesis and dft calculations of 3-PHENYL-2-(1H-TETRAZOL-5-YL)acrylamdes under catalyst-free, one-pot cascade reaction /
Patent Number: 202141023459, Applicant: Jyothis Devasia.
The present invention offers a novel method for the synthesis of 3-phenyl-2-(1H-tetrazol-5-yl)acrylamides 4(a-g) under catalyst-free conditions. All the reactions were carried out in an one-pot cascade process starting with various aromatic/heteroaryl aldehydes, 2-cyanoacetamide and sodium azide at 110 oC using dimethylformamide (DMF) as a solvent. In addition, the reaction conditions were screened for optimization conditions towards solvent, catalyst, temperature and equivalence of sodium azide. -
Novel system for mental health state analysis using machine learning and methods thereof /
Patent Number: 202041044754, Applicant: Prof.Santosh Kumar J.
Systems and methods are provided to understand mental health state of an individual by audio sensors, video sensors and log data of mobile devices. To get more accurate and reliable data machine learning module is also integrated with three input forms of data provided to the system. Once any abnormality is observed, it is reported to the caretakers with a coping strategy to solve the illness at initial stages. -
Novel system for mental health state analysis using machine learning and methods thereof /
Patent Number: 202041044754, Applicant: Prof.Santosh Kumar J.
Systems and methods are provided to understand mental health state of an individual by audio sensors, video sensors and log data of mobile devices. To get more accurate and reliable data machine learning module is also integrated with three input forms of data provided to the system. Once any abnormality is observed, it is reported to the caretakers with a coping strategy to solve the illness at initial stages. -
Novel task assignment policies using enhanced hyper-heuristic approach in cloud
Cloud computing plays a vital role in all fields of todays business. The processor sharing server farm is one of the most used server farms in the cloud environment. The key challenge for the mentioned server farms is to provide an optimal scheduling policy to process the computational jobs in the cloud. Many scheduling policies were introduced and deployed by the existing approaches to build an optimal cloud environment. The existing approaches of the heuristic algorithms such as meta-heuristic and hyper-heuristic approaches were the most frequently used scheduling algorithms for the past years. These approaches work well only in the limited types of tasks and resources in a processor sharing server farms in the cloud environment. In the proposed system, novel task assignment policies have been proposed by enhancing the hyper-heuristic approach for the type low task and high resource in the cloud environment. The results of the proposed approach are compared with the existing approaches and the performance evaluation of the proposed approach is also done. As a result, the proposed enhanced hyper-heuristic approach performs well for processor sharing server farms in the cloud environment. Copyright 2023 Inderscience Enterprises Ltd. -
NSS-ML: a Novel spectrum sensing framework using machine learning for cognitive radio IoT networks
A key component of cognitive radio systems is spectrum sensing, which reduces coexistence problems and maximises spectrum efficiency. However, the introduction of multiple situations with distinct characteristics brought about by 5G communication presents problems for spectrum sensing to support a wide range of applications with high performance and flexible implementation. Inspired by these difficulties, a new method with a multi-layer extreme learning machine optimised for bats is presented in this study. This technique makes use of a variety of input vectors, such as channel ID, energy, distance, and received signal intensity, to enhance user categorization and sensing capabilities. Moreover, we compare the proposed method with the state-of-the-art spectrum sensing approaches in order to evaluate its effectiveness in 5G situations, especially in healthcare applications. Evaluation metrics including channel detection probability, sensitivity, and selectivity are carefully examined. The findings unequivocally prove the suggested spectrum sensing approachs superiority over current methods and highlight its potential for smooth incorporation into a variety of 5G applications. Bharati Vidyapeeth's Institute of Computer Applications and Management 2024. -
Nudges and choice architecture in public policy: A bibliometric analysis
In recent years, nudges and choice architecture have gained significant attention amongst researchers, particularly in the domain of public policymaking. This study contributes to the existing literature on the application of nudges and choice architecture in public policy through a bibliometric analysis. A total of 419 documents from the Web of Science database from 2010 to 2021 were analysed, identifying the most prolific authors, foundational works, and sources, along with primary research themes. The study identifies keywords and themes that shape the current research trends and visualizes the intellectual structure of empirical works. The findings show an increasing focus on this subject area over the past decade, with a growing interest in themes such as dietary habits, healthcare, effectiveness of behavioral interventions, and sustainable choices. The application of nudges and choice architecture in policies related to health, food consumption, and diet management has also become increasingly prevalent as evidenced by the exponential growth in publications on these topics. 2023 Elsevier Inc. -
Nudging children towards a sustainable toy story
In a world which is under a huge environmental strain, choosing sustainable products can be a significant way to correct the delicate balance. Population explosion and rapid industrialization with low concern about sustainability are affecting our environment faster than anticipated. The present study explores if children can be nudged to choose a sustainable product. A pre-test, post-test experiment design was used to observe the preference of children towards wooden toys and their packaging materials eco-friendliness. An experimental research approach is chosen in the present study, as the main motive for this study is to examine the cause-effect relationships between communications nudge and an increased preference towards wooden toys. The experiment reveals that after gaining knowledge about the benefits of sustainable toys, children preferred wooden toys over the plastic ones. The experiment was conducted on 36 children after taking their parents consent. It was concluded that persuasive communication used as nudge can help children make better choice. 2026 selection and editorial matter, Dipak Saha, Mrinal Kanti Das, Sunil Sahadev, Rabin Mazumder and Soumya Mukherjee; individual chapters, the contributors. -
Numerical analysis and finite element simulation of axial stiffness of overhead transmission line conductor
Cables, overhead electrical conductors, and ropes are flexible structural assemblies made out of a central core and number of wires which are twisted together to form a complex helical structure. In the majority, cables are subjected to axial loading primarily, followed by the associated twisting. Depending upon the application, they are additionally loaded in bending also. The mechanical behavior of the cables can be predicted by various mathematical models reported in the literature. The mathematical model can predict the overall global behavior of the cable well. However, the local behavior of the cable must be included to have intricate realistic studies. In this paper, an attempt is made to predict the response of the cable considering all the local effects under axial loading. A core with a single layer of six wires is modelled using the helical rod concept and its mechanical behavior is investigated by means of Finite Element Analysis (FEA). The effect of axial loading on the cable is proposed to be studied as a function of various cable axial strains. The core-wire and the wire-wire contact mode of the cable assembly have been considered with due consideration of the contact forces and the associated frictional effects. The reduction in cable stiffness has been studied under various slip modes. The analytical and FEA results are validated with experimental tests on a single-layered transmission line conductor. TJPRC Pvt. Ltd. -
Numerical and ANN analysis of MWCNTCuOFe?O?H?O nanofluid flow under magnetic dipole influence
The choice of coolants in automobiles, power plants, electrical appliances etc. is basically dependent on the fluids thermal characteristics. Thus, the better thermal characteristics of MWCNT (Multiwalled Carbon Nanotubes) helps in modeling an efficient coolant. Further, the flow of fluid is controlled with a magnetic dipole that creates a magnetic field around it. Since ferrite particles respond better to magnetic field, the base fluid for this study is considered to be ferrofluid formed by suspending Fe3O4 in H2O. In order to ensure stability of this combination, CuO nanoparticles are suspended into the ferrofluid along with the MWCNT that possess higher thermal conductivity. Thus, the ternary nanofluid formed with the composition MWCNT?CuO?Fe3O4?H2O is assumed to flow in the presence of exponential heat source/sink. The theoretical model describing such a particular flow is designed by partial differential equation and these equations are further transferred to ordinary differential equation with the help of apt transformation. The numerical solution obtained for this system and the outcomes are analyzed graphically which indicates that the upsurge in the velocity power index enhances the velocity and the temperature profiles of the ternary nanofluid. Furthermore, as the space between the magnetic dipole and the origin expands, the nanofluid flows faster whereas the temperature of the nanofluid diminishes. Also, An Artificial Neural Network model is applied to check the correlation between the parameter and observed that output data and targeted data are strongly co-related with each other. Akadiai KiadZrt 2025. -
Numerical and sensitivity analysis of MHD bioconvective slip flow of nanomaterial with binary chemical reaction and Newtonian heating
The impact of Stefan blowing on the MHD bioconvective slip flow of a nanofluid towards a sheet is explored using numerical and statistical tools. The governing partial differential equations are nondimensionalized and converted to similarity equations using apposite transformations. These transformed equations are solved using the RungeKuttaFehlberg method with the shooting technique. Graphical visualizations are used to scrutinize the effect of the controlling parameters on the flow profiles, skin friction coefficient, local Nusselt, and Sherwood number. Moreover, the sensitivities of the reduced Sherwood and Nusselt number to the input variables of interest are explored by adopting the response surface methodology. The outcomes of the limiting cases are emphatically in corroboration with the outcomes from preceding research. It is found that the heat transfer rate has a positive sensitivity towardsthe haphazard motion of the nanoparticles and a negative sensitivity towardsthe thermomigration. The thermal field is enhanced by the Stefan blowing aspect. Moreover, the fluid velocity can be controlled by the applied magnetic field. 2021 Wiley Periodicals LLC -
Numerical approach to generalized coupled fractional Ramani equations
The main goal of this study is to find solutions for the generalized coupled Ramani equation with the fractional order using the fractional natural decomposition method (FNDM). Four distinct cases are chosen to illustrate and validate the effectiveness of the considered method. The simulations in terms of numeric have been illustrated to confirm the reliability and proficiency of the projected scheme. Moreover, the behavior of the obtained results is captured for distinct fractional order. The comparison study is illustrated to verify the accuracy of the projected procedure. The achieved results exemplify that the projected solution procedure offers a simple algorithm and is also very efficient to analyze the nature of the coupled differential equations with arbitrary order situated in associated areas of Science and Engineering. 2022 World Scientific Publishing Company. -
Numerical Evaluation of the Strength of Concrete Columns with Different Types of Confinement
The structural performance of reinforced concrete (RC) columns is significantly influenced by their cross-sectional shape and the confinement methods employed. Confinement is a widely adopted technique to enhance the load-carrying capacity and ductility of concrete columns, thereby improving their structural performance and seismic resistance. A large number of experimental and numerical studies are available to demonstrate the confinement effect of columns. This study presents a numerical evaluation of the strength of circular (316 mm diameter), square (280 280 mm), and rectangular (300 260 mm) RC columns confined by using various techniques. Modelling and analysis of columns are done in Ansys software. The confining strategies, adopted are varying the spacing of lateral ties, wrapping with different types of Fiber Reinforced Polymers (FRPs) and wrapping with FRP combined with lateral ties. The results show significant enhancement of compressive strength in the confined columns. Among the adopted confining strategies, CFRP with lateral ties gives maximum percentage strength enhancement (13.4%). The comprehensive understanding of the behaviour of the confined columns under axial load further leads to the study of confined columns under lateral and dynamic loads. This would contribute the safety and resilience of structures constructed specially in earthquake-prone regions. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Numerical illustrations of 3D tangent hyperbolic liquid flow past a bidirectional moving sheet with convective heat transfer at the boundary
Convective heat transfer plays a central role in the numerous industrial devices because it perturbs the mechanical behavior of a system along with its thermodynamics. Keeping such applications in mind, analysis of heat transportation in three-dimensional tangent hyperbolic fluid flow is investigated here. Convective heat transportation at the boundaries is considered. Rosseland's approximation has been used for the radiation effects. Closed form analytical solutions for the governing equations are difficult to obtain even after the use of similarity transformations. Therefore, the numerical solutions are presented through the Runge-Kutta-Fehlberg forth-fifth method. Graphical analysis of the numerical results has been carried out. Roles of sundry constraints on flow are studied. It is also noted that the rates of heat transportation and skin-friction are higher in the presence of convective heat transfer near the boundary. 2019 Wiley Periodicals, Inc. -
Numerical investigation of two-phase mixed convection flow of particulate oldroyd-B fluid with non-linear thermal radiation and convective boundary condition
The present investigation addresses the mixed convection two-phase flow of dusty Oldroyd-B fluid towards a vertical stretching surface in the presence of convective boundary condition and nonlinear thermal radiation. The fluid and dust particles motion is coupled only in the course of drag and heat transfer between them. The Stokes linear drag theory is employed to model the drag force. The numerical solutions based on the Runge-Kutta-Fehlberg scheme with shooting method are presented for both fluid and particle phase velocity and temperature fields. Further, numerical results are obtained for skin friction factor and local Nusselt number of prescribed values of pertinent parameters. The results are presented graphically and the physical aspects of the problem are analyzed. The obtained results are validated with existing results and found to be in good agreement. It is established that the mass concentration of the dust particle parameter plays a key role in controlling flow and thermal behaviour of non-Newtonian fluids. An asymptotic state occurs in the rate of heat transfer for larger values of the Biot number. It is also proved that the significance of radiation effect in nonlinear form is outstanding in comparison with the traditional linear radiation effect. The momentum boundary layer thickness for both fluid and dust phase become loftier due to the consequence of buoyancy force. 2018 Trans Tech Publications, Switzerland. -
Numerical modeling of novel cage-like cross-linked membranes for enhanced proton conductivity in a high temperature-polymer electrolyte membrane fuel cell
Phosphoric acid (PA)-doped polybenzimidazole (PBI) membranes have encountered several problems associated with high cost, chemical instability, poor solubility in organic solvents, and higher doping level which results in poor mechanical properties and faster degradation of the membrane. Alternative membranes with high proton conductivity and mechanical strength for high-temperature applications are of great interest, one such membrane being cPBI-IL X. The cage-like cross-linked structure of these membranes shows a dual proton transport path due to which proton conductivity is elevated. The ionic liquid content of these membranes improves the PA absorbing capability and shortens the proton transfer path. These membranes exhibit the highest proton conductivity of 13.3 S/m and better durability compared to existing PBI Membranes. A mathematical model is developed and validated versus published experimental results to account for the proton conductivity of these membranes. The developed model is further investigated for a detailed understanding of polarization phenomena and species distribution. 2023 Wiley Periodicals LLC.