Biomaterial Strategies for Immune System Enhancement and Tissue Healing
Qualitative and Quantitative Performance Optimization of Simple Gas Turbine Power Plant using Three Different Types of Fuel
Efficient Shopping: RFID-Powered Cart with Automated Billing System
Medical Drone System for Automated External Defibrillator Shock Delivery for Cardiac Arrest Patients
A Critical Review on Biodiesel Production, Process Parameters, Properties, Comparison and Challenges
Review on Deep Learning Based Image Segmentation for Brain Tumor Detection
Chemistry and Chemical Engineering: Approaches, Observations, and Outlooks
Integration of PMS Software and Decision Matrix Tool Based on Data Acquired from Latest IT Advanced Sensors and 3D CAD Models in Marine Operations Field
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Dynamic Changes in Mangrove Forest and Lu/Lc Variation Analysis over Indian Sundarban Delta in West Bengal (India) Using Multi-Temporal Satellite Data
The Impacts of Climate Change on Water Resources in Hilly Areas of Nepal
An Analysis of Machining Forces On Graphite/Epoxy, Glass/Epoxy and Kevlar/Epoxy Composites Using a Neural Network Approach
Deformation Behaviour of Fe-0.8%C-1.0%Si-0.8%Cu Sintered P/M Steel during Powder Preform Forging
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Achieving Manufacturing Excelence by Applying LSSF Model – A Lean Six Sigma Framework
Design and Analysis of Piezo- Driven Valve-Less Micropump
In this paper, we developed a mathematical model to evaluate nonlinear interaction between the space charge waves of electrons and charged particles (electrons, protons, ions) trapped in the matrix material. An interaction between the electron beam and the charged particles already trapped in the matrix is described by the Poisson's elliptic partial differential equation. The motion of electron beam has been described by the momentum and the conversation of charge equations. The system of differential equations has been solved by Krylov-Bogolyubov's method of averaging. Numerical simulations have been conducted using SIMULINK®.
Prediction of rainfall has always been one of the most important issues in the hydrological cycle and it is essential in water resource development, planning and management of flood and drought. With the development of Artificial Intelligence (AI), a number of AI methods such as Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System, Fuzzy Logic, Support Vector Machine and Evolutionary Optimization Algorithm are widely applied for rainfall prediction. The ANN represents a complex non-linear relationship and extract the dependence between variables through the training process and hence used for rainfall prediction. In this paper, Multi Layer Perceptron (MLP) and Radial Basis Function (RBF) network models are used for training the network data. The performance of MLP and RBF models used in rainfall prediction have been evaluated by Model Performance Indicators (MPIs) viz., Correlation Coefficient (CC), Mean Absolute Error (MAE) and Nash–Sutcliffe model Efficiency coefficient (NSE). The study presents that the MAE in rainfall prediction using MLP network is minimum than the value of RBF for Pune and Mahabaleshwar. The study also presents that the CC values vary from 0.967 to 0.978 for Pune while 0.970 to 0.987 for Mahabaleshwar. During testing period, the NSE in rainfall prediction using MLP and RBF networks for Pune is computed as 93.8% and 94.3% respectively. For Mahabaleshwar, the NSE values obtained from MLP and RBF networks are computed as 97.2% and 92.8% respectively. Based on the results of MPIs, the study suggests that the MLP is better suited amongst two networks adopted for prediction of rainfall for Pune and Mahabaleshwar.
One of the most important limiting factors in linear optical transmission systems is chromatic dispersion. The research topic of this paper is the effect of second order dispersion on the output of the optical system for different input pulse shapes. This paper also studies the effect of coherent interference on device efficiency. We consider the worst-case scenario, in which there is an interference phase shift. Since different spectral components of the pulse scatter and do not arrive at the fibre output synchronously during propagation, a significant value of the propagation velocity contributes to pulse expansion; the shorter portion of an optical pulse transmits faster than its larger part, resulting in progressive joint expansion of the pulse.
The removal of lead from wastewater using Borassus flabellifer coir powder has been investigated effectively. The effect of adsorption parameters like initial lead concentration (20-100 mg/L), pH (7-9), and adsorbent dosage (4-6 g/L) on lead adsorption were examined using Box-Behnken design (BBD) in response surface methodology. The full response surface estimation and experimental design have been carried out by the Box-Behnken Design methodology. According to design model, 15 trials were run. The maximum removal of lead from waste water of 20 mg/L at optimum conditions was as follows: biomass dosage (6.0572 g/L), pH (9.4547) and initial lead concentration (55.7893 mg/L). The BBD model has been used effectively for the removal of lead from wastewater based on relatively high correlation coefficient (R2 =0.922) between the BBD design model and the experimental data using Borassus flabellifer coir powder.
The present day power network system is being operated under highly stressed operating condition and is highly complex due to increasing demand in electricity for various sectors such as industrial applications, commercial use and domestic needs. As the load increases, the reactive power also increases abruptly and hence the system becomes unstable which results in poor voltage profile and more power losses of a transmission system. The main goal of this study is to establish a novel method of evaluating power system conditions by installing FACTS (STATCOM, SSSC, and UPFC) devices, which will enhance the voltage profile and minimise network losses. FACTS devices with suitable placement will meet the required reactive power demand and hence active power transfer increases up to their thermal limits so as to minimize the losses and improve the voltage profile of the system. In this paper the effective placement of FACTS devices using HGAPSO technique gives better results in terms of minimization of power losses and enhancement of voltage stability. The proposed technique is implemented in a MATLAB environment and tested for IEEE 14 test system.
As Internet has a wide acceptance all over the world, social media is providing content based on native languages. People in India are using native languages to express their opinions and views; however, a single word's meaning could differ from language to language. The study of cyberbullying in the native language is still a premature field where attention is required. This paper presents detailed information about cyberbullying and its various forms, statistics related to India, how it affects human psychology, and the legislation in India. Different papers, including languages other than English, were reviewed with positive and negative sides. A shared understanding of the need for developing a model concerning machine learning, an essential structure for developing a model for detecting cyberbullying in the native language is felt, and the challenges that occur with the data set have been reviewed.
