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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. -
Numerical Modelling and Experimental Validation of Novel Para Winglet Tape for Heat Transfer Enhancement
Heat exchangers are predominantly used in the industries of production, manufacturing, power, oil and gas, petroleum, and cooling solutions. The competence of the heat exchanger is optimized through active and passive augmented techniques. The current study revolves around the performance evaluation of Novel Para winglet tape for flow and friction characteristics. Turbulence flow properties from Re of 30,000-to-6000 were explored for three different inclinations and pitches, respectively. Experimental and numerical solutions are derived to showcase the flow behavior over Para winglet tape inserts in the double pipe heat exchanger. Appreciable results were obtained in enhancing the Nusselt number (Nup) for a better heat transfer enforcement through the DEX. All case studies also increased when compared to the smooth pipe. Experimentally, the maximum Nu and Nusselt number ratio was observed to be 398.23 and 5.05 times over the plain tube. Similarly, the maximum friction factor and its ratio were observed to be near 0.33 and 8.89 times over the plain tube. Finally, the maximum POI of 2.68 to 2.37 was achieved with 20 inclinations. The experimental and numerical outcomes of Para winglet tape with the higher inclination and shorter pitch were found to be best out of the others. 2022 by the authors. -
Numerical simulation and mathematical modeling for heat and mass transfer in MHD stagnation point flow of nanofluid consisting of entropy generation
The primary goal of this article is to explore the radiative stagnation point flow of nanofluid with cross-diffusion and entropy generation across a permeable curved surface. Moreover, the activation energy, Joule heating, slip condition, and viscous dissipation effects have been considered in order to achieve realistic results. The governing equations associated with the modeling of this research have been transformed into ordinary differential equations by utilizing appropriate transformation variable. The resulting system of equations was solved numerically by using Bvp4c built-in package in MATLAB. The impact of involved parameters have been graphically examined for the diverse features of velocity, temperature, and concentration profiles. Throughout the analysis, the volume fraction is assumed to be less than 5 % while the Prandtl number is set to be 6. In addition, the entropy generation, friction drag, Nusselt, and Sherwood numbers have been plotted for describing the diverse physical aspects of the underlying phenomena. The major outcomes reveal that the curvature parameter reduces the velocity profile and skin friction coefficient whereas the magnetic parameter, temperature difference parameter, and radiation parameter intensify the entropy generation. 2023, The Author(s). -
Numerical simulation for coupled nonlinear Schringer-Korteweg-de Vries and Maccari systems of equations
The primary goal of this paper is to seek solutions to the coupled nonlinear partial differential equations (CNPDEs) by the use of q-homotopy analysis transform method (q-HATM). The CNPDEs considered are the coupled nonlinear Schringer-Korteweg-de Vries (CNLS-KdV) and the coupled nonlinear Maccari (CNLM) systems. As a basis for explaining the interactive wave propagation of electromagnetic waves in plasma physics, Langmuir waves and dust-acoustic waves, the CNLS-KdV model has emerged as a model for defining various types of wave phenomena in mathematical physics, and so forth. The CNLM model is a nonlinear system that explains the dynamics of isolated waves, restricted in a small part of space, in several fields like nonlinear optics, hydrodynamic and plasma physics. We construct the solutions (bright soliton) of these models through q-HATM and present the numerical simulation in form of plots and tables. The solutions obtained by the suggested approach are provided in a refined converging series. The outcomes confirm that the proposed solutions procedure is highly methodological, accurate and easy to study CNPDEs. 2021 World Scientific Publishing Company. -
Numerical simulation of flow over a flat unglazed transpired solar collector (UTC) and its performance prediction
An unglazed transpired solar collector is a system that can leverage the abundant solar energy for various purposes. The solar collector is available in flat or corrugated form and is seen to be installed as an exterior layer of building facades. The cladding thus made absorbs radiation from the sun and heats up air being sucked by fan and flowing through perforations. In this research the focus has been to understand the correlation of plate temperature, exit temperature, the velocity distribution in the chamber and perforation location when air flows past an unglazed transpired solar collector (UTC). The establishment of correlations was carried out in the dataset of flow variables obtained after solving the problem using Navier-Stokes (NS) equations along with standard two-equation (k-?) turbulence models and Shear Stress Transport (SST ) k-? models for turbulent flow. The same problem was also solved using NS equation using laminar model. An attempt has also been made to compute Pearsons correlation coefficient of any two variables to understand their strong and weak correlations. A linear regression analysis was done through an open source software Rstudio for a dataset produced during the computational modeling using a commercial CFD solver, Ansys Fluent. At the end a Monte Carlo simulation has been done to predict the likelihood of using the flat UTC for drying as well as to understand the dependency of system efficiency on plate exit temperature, suction velocity and freestream temperature. BEIESP. -
Numerical simulation of JeffreyHamel flow of nanofluid in the presence of gyrotactic microorganisms
The nonlinear differential equations play a prominent role in mathematically describing many phenomena that occur in our world. A similar set of equations appear in this paper that govern the nanofluid flow between two non-parallel walls in the presence of gyrotactic microorganisms that are responsible for bioconvection. These microorganisms ensure the safety of the appliance by avoiding the accumulation of nanoparticles and the movement of these nanoparticles within the fluid experiences major slip mechanisms as discussed by Buongiorno. Further, the orientation of the channel is described by the parameter ? and based on this parameter, the channel is said to be converging if (Formula presented.) and the channel is diverging if (Formula presented.). The case when (Formula presented.) corresponds to a channel with parallel walls, hence this case is ignored. Following these assumptions, the set of governing equations thus formed are made dimensionless and further solved by the Differential Transformation Method (DTM) and the outcomes are discussed through graphs. The analysis is performed for both converging and diverging orientations of the channel. The results indicate that the temperature and the concentration profiles increase with the increase in Brownian motion parameters in both divergent and convergent channels. Meanwhile, the increase in Reynolds number decreases the temperature of the nanofluid. Through the simulation, it was observed that the heat flow is taking place along the isothermal planes in the case of the diverging channel but it was uniform in the domain of the converging channel. 2021 Informa UK Limited, trading as Taylor & Francis Group. -
Numerical simulation of unsteady MHD bio-convective flow of viscous nanofluid through a stretching surface
The current flow model is prepared to explore the characteristics of heat and mass transfer through a time-dependent bio-convection slip flow of viscous nanofluid moving over a porous radiative stretched surface model. The outset of bio-thermal convection in a suspension comprising gyrotactic microorganisms and nanoparticles is considered along with radiation and velocity slip. The presence of these nanoparticles and their motion within the nanofluid gives rise to thermophoresis as well as the Brownian motion phenomena and the consideration of these aspects in the model gives realistic results. Moreover, the present model includes the collective influence of the aligned magnetic field, heat source, and mass suction on the boundary. The similarity analysis has been carried out to transform the basic model equations into nonlinear dimensionless ordinary differential equations (ODEs) which are solved numerically using the bvp4c technique in MATLAB. Some reasonable values have been assigned to the flow parameters based on the above different conditions which provide various graphical results. Certain finding states that velocity and temperature respectively decrease and increase as the aligned magnetic field angle is scaled up, whereas the nano particles concentration strengthens with the amplifying values of convection diffusion and thermophoresis parameter and slumps with the rising values of Brownian motion parameter and Schmidt number respectively. Moreover, the concentration of microorganism and nano particles diminishes with the rising values of Schmidt number, as well as the improvement of convection diffusion parameter and Schmidt number magnifies the Sherwood number. The local density of motile microorganisms reduces with the improvement of stretching parameter and bio-convection Schmidt respectively. The obtained results have been validated by comparing them with the published literature. 2023 The Authors -
Numerical study of Reiner-Rivlin nanoliquid flow due to a rotating disk with Joule heating and non-uniform heat source using Bulirsch-Stoer algorithm
The flow of a Reiner-Rivlin hydromagnetic nanoliquid due to rotating disk in the presence of Joule heating and a non-uniform heat source is investigated. To control the volume fraction of nanoparticles on the surface of a disk, a realistic passive control strategy is used, taking the thermal jump condition into account. Nonlinear governing differential equations are solved numerically using the Bulirsch-Stoer technique and a parametric analysis is performed using graphical representations. Using the Response Surface Methodology (RSM), the interaction effects of the influential parameters on the rate of heat transfer are visualized via three-dimensional surface graphs and contours. Further, the optimum rate of the heat transfer is estimated through the RSM analysis. It is found that the surface drag demotes due to enhancement in the cross-viscosity coefficient. A rise in the space-dependent heat source augments the temperature profile. The heat transfer rate is negatively influenced by the Eckert number. Further, when thermal slip is augmented, the sensitivity of the heat transfer towards the Hartmann number decreases at the rate of 0.2267%, and the sensitivity towards the Reiner-Rivlin fluid parameter decrements at the rate of 0.0554%. 2022 Informa UK Limited, trading as Taylor & Francis Group.