Solar Based Hydroponics Cultivation

The main aim of the project is to grow a plant without a soil by using solar supply. It uses the 90% of water efficiently. As compared to soil cultivation, the production increases by 3 to 10 times. Hydroponics is the method of growing plants without soil by using mineral nutrients solution in water solvents usually an inorganic substrate with rock wool to be the most common worldwide. Agriculture in the growing countries faces some serious challenges in the coming decades that include: competition for water, energy resources, rising costs,increased world population, competition for international markets, changes in climate,environmental impact and uncertainties in the effectiveness of the current European policies as regards adaptation strategies. Controlled environments become an important tool in agriculture production and study chains. Hydroponics is a promising technology and becomes very popular in the area of agriculture, specifically in urban farming. Hydroponic systems have found a rapid development and widespread use in recent years. In hydroponicscultivation, the recording of several parameters helps cultivators to develop optimal conditions for the growth of plants. In this paper, we present a low-cost, high-reliability prototype for real-time measurements in hydroponics cultivation

Multiphysics Analysis of a Magnetorheological Damper

     A Magnetorheological damping has evolved as a potential tool in vibration control. The design of magnetorheological damping involves analysis of fluid flow principles and electromagnetic flux analysis. This research paper involves design and analysis of a magnetorheological damper employed for vibration control. The analysis is carried over by considering the domain as an axisymmetric model. The damping force of the damper depends upon the shear stress due to fluid viscosity and yield stress induced due to magnetic flux applied. The damping force generated by the damper is calculated

Research Scenario of Bio Informatics in Big Data Approach

Big Data can unify all patient related data to get a 360-degree view of the patient to analyze and predict outcomes. This investigation examines the concepts and characteristics of Big Data, concepts about Translational Bio Informatics and some public available big data repositories and major issues of big data. This issue covers the area of medical and healthcare applications and its opportunities.

Transient Stability Enhancement in Multimachine system by Using Fuel Cell as STATCOM (Static Synchronous Compensator)

This paper, presents fuel cell functioning as a STATCOM to improve the transient stability of the system during different fault conditions. Today, power industry faces lot of problem in maintaining the voltage stability and system stability. Installation of compensating devices proves to be a solution. But the cost of compensating devices adds burden to the consumer consumption changes. Hence, a new method of utilizing fuel cell a renewable energy source as a compensating device is proposed in this work. Fuel cell is modeled as STATCOM-a FACTS compensating device. The ability of the fuel cell based STATCOM in improving the multimachine system stability after a fault condition. In these paper, different STATCOM controllers, i.e., based on Fuzzy Logic and PI controllers are designed for improving transient stability of two machine systems. Proposed controllers are implemented under MATLAB/Simulnk environment. Results of Fuzzy and PI based controllers are installed with two machine system compared with conventional STATCOM controller. The results are found to be satisfactory

Deep learning-based bacterial foraging optimization algorithm to improve digital mammography-based breast cancer detection

Abstract This study focuses on improving the detection of breast cancer at an early stage. The common approach for diagnosing breast cancer is mammography, but it is quite tedious as it is subject to subjective analysis. To address these challenges, the research will explore how the mammogram analysis employs deep learning-based techniques to enhance the screening process. Various computer vision models, including Visual Geometry Group (VGG) 19, Inception V3, and custom 20 Convolutional Neural Network (CNN) architecture, are investigated using the Digital Database for Screening Mammography (DDSM) mammogram dataset. The research community widely uses the DDSM for mammographic image analysis. In the domain of CNNs, the models have demonstrated considerable promise due to their efficacy in various tasks, such as image recognition and classification. It is also seen that the CNN model performance is enhanced through hyperparameter optimization. However, manually tuning hyperparameters is laborious and time-consuming. To overcome this challenge, automatic hyperparameter optimization of CNNs uses population-based metaheuristic approaches. This automation mitigates the time required for finding optimal hyperparameters and boosts the CNN model’s efficacy. The proposed approach involves using the Bacterial Foraging Optimization (BFO) algorithm to optimize CNN to enhance breast cancer detection. BFO optimizes hyperparameters such as filter size, number of filters, and hidden layers in the CNN model. The experiments show that the proposed BFO-CNN method outperforms other state-of-the-art methods in terms of accuracy, showing improvements of 7.62% for VGG 19, 9.16% for InceptionV3, and 1.78% for the custom CNN-20 layer model. In conclusion, this work aims to leverage deep learning techniques and automatic hyperparameter optimization to enhance breast cancer detection through mammogram analysis. The BFO-CNN model has much potential to improve breast cancer diagnosis accuracy compared to conventional CNN architecture

A Research Survey on Microgrid Faults and Protection Approaches

Abstract The conventional electrical system, production of power is happened in several places also power transmitted into the grid and finally distribution takes place to the individual customers. In conventional powergrid suffers high capital cost, finite reliability, rising greenhouse gases emissions and growing power losses in the transmission line. The power company is choose an interconnecting diverse nonconventional form small generations close to user places, based on their demand also giving smart lever to the power grid. An extensive result, power generation from microgrid is recommended per scientists it could supplies secure, standard and effective supply of source to individuals. Microgrid integration is already available power delivery network forms more intricate to the radial power distribution network. It further lead to magnitude of fault current is vary aggressively based on operation methods (isolated or grid integrated), source, status, also total distributed production of power. In existing protecting control strategies are modelled in radial energy circulation and centralized production of power, it creates available protecting approach is fall in the microgrid. So, effort is carried out to re-examine the fundamental conceptions also importance, problems experienced by microgrid as theme of diverse protection approaches.</jats:p