Wireless Sensor Networks (WSNs) gives human civilization a stunning and clever landscape. Connections between different sensors also strategies in the Internet of Things (IoT) contribute to high energy feasting. Study...
Wireless Sensor Networks (WSNs) gives human civilization a stunning and clever landscape. Connections between different sensors also strategies in the Internet of Things (IoT) contribute to high energy feasting. Study into liveliness conservation and methods of energy-saving are also important. Sustainability in an energy-efficient way due to the sensors' partial power is important for wireless sensors in an IoT network. This paper aims to analyze an IoT network of remote monitoring and access points. Wireless battery charging power delivery methods are getting more mature. The electrical power supply is operated by a charging car for wireless sensors. The data sharing of the IoT network situation is a minimization challenge to conserve electric energy. A three-stage process obtains the solution. A Reboot Artificial Bee Community (RABC) approach is proposed to solve the sub-problems of the data transfer model. The RABC approach has been shown to converge asymptotically to the optimization process. computer modelling demonstrates that energy consumption can be reduced with a strong, robust function using the proposed approach in the intentional network scenario.
We consider the case of Laguerre-Gaussian (LG) light with high values of radial index, p, and/or winding number l, focussing on the effects of the Gouy phase together with other phase contributions due to the curvatur...
We consider the case of Laguerre-Gaussian (LG) light with high values of radial index, p, and/or winding number l, focussing on the effects of the Gouy phase together with other phase contributions due to the curvature in a Laguerre Gaussian beam when it interacts with atoms at near resonance. We show here that these phase anomalies amount to a significant reduction of the axial wavevector and thus lead to additional contributions to the phase gradient in the vicinity of the focus plane. In consequence, the axial recoil effects due to the stimulated emission and absorption of light by the atom become smaller. This has important effects on the dissipative axial forces acting on the atom, on the momentum fluctuations associated with the photon absorption and stimulated emission and on diffraction of atoms through light masks created by LG beams.
An alternative source is growing in popularity with increasing global energy use and perceivable environmental degradation everywhere in the universe. The growth of wind farms necessitates system stability analysis, w...
An alternative source is growing in popularity with increasing global energy use and perceivable environmental degradation everywhere in the universe. The growth of wind farms necessitates system stability analysis, which incorporates dynamical distributed generation models. Doubly fed induction machines are widely used in the context of turbines of power higher than 1MW. However, direct-drive wind turbines that use synchronous generator principles have gained significant market penetration. This investigation implements a synchronous generator model using a frequency-based matrix converter with the assistance of an SVPWM method, which measures stator as grid voltage/current and analyses total THD. Converting the fluctuating voltages to something like a stable value using a frequency-based method is done with a matrix converter.
The behavior of natural convection laminar flow of Nanofluids over a horizontal circular cylinder with uniform surface heat flux has been examined. In this study, Copper-Water (Cu-H2O) nanofluid has been chosen with d...
The behavior of natural convection laminar flow of Nanofluids over a horizontal circular cylinder with uniform surface heat flux has been examined. In this study, Copper-Water (Cu-H2O) nanofluid has been chosen with different volume fractions ranging from 0% to 10%. In the present study, the governing boundary layer equations are converted into a dimensionless form, and the resultant non-dimensional set of equations has been transformed into a parabolic system of partial differential equations by applying a specific set of variables. The set of parabolic equations has been numerically solved using an implicit finite difference method. The outcomes of the numerical simulation have been compared and validated with an excellent agreement with the previously published work. The numerical results have been depicted in terms of the velocity and temperature profiles. Finally, the skin friction coefficient (Cf) and the local Nusselt number (Nu) has been outlined to understand the feature of the wall shear stress and the surface heat transfer rate, respectively.
The article discusses an approach to research in the field of interpore space analysis, which is primarily geometric in nature. The method of functional-voxel modeling is used as a basic geometric tool, since it allow...
The article discusses an approach to research in the field of interpore space analysis, which is primarily geometric in nature. The method of functional-voxel modeling is used as a basic geometric tool, since it allows you to form graphic M-images (model image) of any dimension. For the analytical representation of the geometry and Voronoi diagram of the model, the mathematical apparatus of R-functions (Rvachev functions) is used. A software implementation of the proposed approaches for constructing a Voronoi diagram in three-dimensional space will be presented.
A method of analyzing human pulmonary X-rays using a few software procedures to process the images will be presented. Photographs of the lungs were investigated and images of the arteries were illustrated, successfull...
A method of analyzing human pulmonary X-rays using a few software procedures to process the images will be presented. Photographs of the lungs were investigated and images of the arteries were illustrated, successfully extracting the shadows due to the ribs and the lung itself through an advanced algorithm. This paper presents a solution for processing and interpretation of pulmonary X-ray images in order to deploy a better fractal analysis, to find out the fractal dimension and lacunarity for arteries network.
The plasmodium of true slime mold Physarum polycephalum is a unicellular and multinuclear giant amoeba. Since the cellular organism has some computational abilities, it is attracting much attention in the field of inf...
The plasmodium of true slime mold Physarum polycephalum is a unicellular and multinuclear giant amoeba. Since the cellular organism has some computational abilities, it is attracting much attention in the field of information science. However, previous studies have mainly focused on the optimization behavior of the plasmodium for a single-modality stimulus, and there are few studies on how the organism adapts to multi-modal stimuli. We stimulated the plasmodium with mixture of attractant and repellent stimuli, and we observed bifurcation in the chemotactic behavior of the plasmodium.
A financial data analysis using the time series method has been performed. At the same time a correct interpretation of daily exchange rates fluctuations, for Eur foreign currencies is presented. The fractal dimension...
A financial data analysis using the time series method has been performed. At the same time a correct interpretation of daily exchange rates fluctuations, for Eur foreign currencies is presented. The fractal dimension evaluation has been performed using the box-counting method, which allows for a rapid analysis of 2D images on two bits (white-black). A perfected version of this method has been employed to investigate the temporal evolution of a currency rate, which has oscillations predominantly on the vertical direction.
In this paper it is discussed and briefly experimentally investigated the performance of multi-swarm PSO with super-sized swarms. The selection of proper population size is crucial for successful PSO using. This work ...
In this paper it is discussed and briefly experimentally investigated the performance of multi-swarm PSO with super-sized swarms. The selection of proper population size is crucial for successful PSO using. This work follows previous promising research.
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