Compressive strength (CS) of concrete is a key quality factor that is being monitored continuously in all construction projects which use huge quantity of concrete throughout the world. Engineers need to be open minde...
Compressive strength (CS) of concrete is a key quality factor that is being monitored continuously in all construction projects which use huge quantity of concrete throughout the world. Engineers need to be open minded with the attitude of lifelonglearning to upskill with the ever-evolving softwareand hardware technologies. Seven day and twenty-eight-day compressive strengths of concrete samples with varied amounts of cement, blast furnace slag, fly ash, water, super plasticizer, coarse aggregate, and fine aggregate are studied. Multiple Linear Regression (MLR) models are fitted for this data in Microsoft Excel. Artificial Neural Networks (ANNs) in RStudio are developed for this data. The performances of both methods are compared. This paper takes care of Goal 12 of United Nations Sustainable Development of ensuring sustainable consumption and production patterns as environmentally degrading materials (flyash and blast furnace slag) are used.
The current research is focused on the study of the effect of head shape geometrical deformations to the solution of the forward electroencephalographic (EEG) problem and its sensitivity response. A novel and accurate...
The current research is focused on the study of the effect of head shape geometrical deformations to the solution of the forward electroencephalographic (EEG) problem and its sensitivity response. A novel and accurate analytical scheme has been developed by performing a perturbation analysis in the linear regime, where a homogenous three-shell spherical model, equipped with all the necessary mathematical tools, is introduced. The efficacy of the method is demonstrated by incorporating the numerical implementation of the obtained formulae in which both cases, with or without surface deviations, are presented and benchmarked. The suggested procedure provides us with a criterion, which recognizes whether surface perturbations will influence EEG recordings.
Recent years many women are affected by breast cancer. Mammogram is one of the early breast cancer diagnosis techniques used to identify the abnormal regions of breast. The recommended research work uses Fuzzy C-means...
Recent years many women are affected by breast cancer. Mammogram is one of the early breast cancer diagnosis techniques used to identify the abnormal regions of breast. The recommended research work uses Fuzzy C-means segmentation algorithm to locate the wound area of mammogram breast image. Further the features of abnormal regions were extracted using Local Binary pattern (LBP) techniques. The statistical features are Entropy, Mean, RMS (Root Mean Square), correlation helps to train the neural network. Finally SVM (Support Vector Machine) classifier is utilized to categorize the abnormal regions of mammogram images with the accuracy rates of 86%.
The paper focuses on the need for optical communication in future eras. Spatial reprocess cannot meet the present conditions with increasing traffic demand in Radio Frequency (RF) communication. The frequency spectrum...
The paper focuses on the need for optical communication in future eras. Spatial reprocess cannot meet the present conditions with increasing traffic demand in Radio Frequency (RF) communication. The frequency spectrum in traditional methods of wireless communication has been saturated. Visible Light Communication (VLC) and Internet-of-Things (IoT) integration will open up many indoor applications in the near future. Light Emitting Diodes (LEDs) and Photodetectors (PDs) in VLC support reliable uplink and downlink for Device-to-Device communication indoors. There is emergence of the energy-efficient variant of the VLC due to the shortage of energy budget in the upcoming era. The VLC works well in low illuminance. Energy conservation is supportedby consuming much lower energy through the usage of LEDs in *** can be achieved through the hybrid of single and multicarrier modulation. The work is about to discuss dimming techniques that support VLC in low illuminance and multicarrier modulation, which supports high data rate transmission.
The aim of current Paper is to examine the effect/result of ‘heat source’ parameter over a wedge through porous-medium for electrically-conducting fluid flow for a magneto hydrodynamic Casson nanofluid with activati...
The aim of current Paper is to examine the effect/result of ‘heat source’ parameter over a wedge through porous-medium for electrically-conducting fluid flow for a magneto hydrodynamic Casson nanofluid with activation energy. The influence/impact of ‘second law’ analysis for electrically conducting fluid(s) with chemical-reaction also investigated. Dimension-less ordinary differential equations(ODE) are obtained/derived from the highly non- linear PDEs by using similarity transformations. The ‘Runge- Kutta –Fehlberg with shooting technique’ is utilized to solve remodelled ODEs numerically. The effect(s) of the ‘physical parameter’ on velocity, temperature and concentration are extensively discussed through several plots. Numerical result(s) for Nusselt number, skin friction coefficient & ‘Sherwood number’ for various parameter(s) are computed.
The manuscripts demonstrates the consequences on the way to advance in addition authenticate image processing techniques intended for deciding the finest physical models centered happening on solar image surveillances...
The manuscripts demonstrates the consequences on the way to advance in addition authenticate image processing techniques intended for deciding the finest physical models centered happening on solar image surveillances. This technique comprises of choosing the physical models centered proceeding on by means of coronal holes extracted from the images. Eventually, the objective is on the way to custom physical models in order to forecast geomagnetic storms. For coronal hole segmentation it is centered on physical restraints progressing a multi-modal scheme which customs segmentation maps commencing from three diversified methods in order to initialize a level-set technique which progresses the preliminary coronal hole segmentation towards the magnetic boundary. These coronal holes are clustered, mapped and validated. The suggested multi-modal segmentation technique vitally outstripped SegNet, U-net, Henney- Harvey, and FCN by giving precise boundary recognition. This suggested techniques gives 95.5% map classification precisely. An ontological representation IPCHSonto of the image processing method for Coronal Hole Segmentation have been built using protégé tool. This ontology is précised in formal languages by means of a well-defined semantics. Ontologies remain built upon a segmented understanding within a community.
Rapid raise in urbanization and population has led to the accumulation of huge amount of garbage throughout the world which became a serious problem that requires proper management and recycling. Proper recycling of g...
Rapid raise in urbanization and population has led to the accumulation of huge amount of garbage throughout the world which became a serious problem that requires proper management and recycling. Proper recycling of garbage can be done easily if it is segregated prior to the recycling process. This project aims to present a smart garbage segregation system which segregates garbage into its respective type (wet waste, dry waste, metallic waste etc.) using different types of sensors and Arduino controller which takes care of all the task. The entire task is performed on a conveyor belt having multiple sections depending on number of types of wastes one wants to segregate. Waste is detected and directed to the respective slot or section for segregation. Then various piles of waste are created which are moved to their respective recycling units without much human effort.
The authors would like to add an affiliation for authors of the original version of the published article.1 Affiliation with the department of Physics and Astro
The authors would like to add an affiliation for authors of the original version of the published article.1 Affiliation with the department of Physics and Astro
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 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.
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