An internet of things enabled framework to monitor the lifecycle of Cordyceps sinensis mushrooms

Cordyceps sinensis is an edible mushroom found in high quantities in the regions of the Himalayas and widely considered in traditional systems of medicine. It is a non-toxic remedy mushroom and has a high measure of clinical medical benefits including cancer restraint, high blood pressure, diabetes, asthma, depression, fatigue, immune disorder, and many infections of the upper respiratory tract. The cultivation of this kind of mushroom is limited to the region of the Sikkim and to cultivate in the other regions of the country, they are need of investigation and prediction of cordyceps sinensis mushroom lifecycle. From the studies, it is concluded that the precision-based agriculture techniques are limitedly explored for the prediction and growth of Cordyceps sinensis mushrooms. In this study, an internet of things (IoT) inspired framework is proposed to predict the lifecycle of Cordyceps sinensis mushrooms and also provide alternate substrate to cultivate Cordyceps sinensis mushrooms in other parts of the country. As a part of lifecycle prediction, a framework is proposed in this study. According to the findings, an IoT sensor-based system with the ideal moisture level of the mushroom rack is required for the growth of Cordyceps sinensis mushrooms

International Journal of Electronics and Computer Science Engineering 854 Available Online at www.ijecse.org ISSN- 2277-1956 UML Modelling: The Rational E-Development

Abstract — Unified Modeling language (UML) is one of the important modeling languages used for the visual representation of the research problem. In this paper we used Rational Software architecture to design UML diagrams

Implementation of Attention Mechanism in GAN for the Purpose of Quality Detection

The attention mechanism is primarily responsible for improving Generative Adversarial Networks\u27 (GANs) false picture detection. Synthetic images produced by GANs are very lifelike, which has transformed the picture creation area. That same potential, meanwhile, has also sparked worries about the creation of false or misleading material. The attention mechanism facilitates selective emphasis on particular areas of an image during creation. This mechanism is based on human visual perception. It facilitates the discriminator network in GANs to concentrate more on critical regions, which are often hard for traditional GANs to replicate effectively, such as fine structures, texture details, and object consistency. By including attention processes, GANs can detect minor changes between real and synthetic images, significantly improving their ability to identify synthetic information. In order to improve fake picture recognition, this study explores the crucial role that attention processes play in GANs. It also offers insight into the usage, functionality, and potential future research paths of these systems to combat the dissemination of misleading visual information

Development of Pulse Charger for Electric Vehicle Batteries

The issue of slow charging and early battery life deterioration affects emerging new battery technologies. This study suggests a quick pulse charging technique that guards against battery deterioration and provides sustainable operation. The research primarily focuses on newly developed batteries charged from a solar source utilizing a pulsed approach. ANSYS or MATLAB/Simulink are used for the different simulations. The charger circuit comprises the Photovoltaic panel, transformer, a passive element like a capacitor, voltage regulator, and bridge rectifier. An optocoupler, an isolation circuit, and a DSP controller comprise the control circuit. The charger circuit receives power directly from the solar panel, and the duty ratio is configured in the Arduino software, which controls the output voltage

Finite Element Analysis on Experimental Stretch Forming Process of AA2014 Alloy at 423 to 623K Temperatures

Sheet metal forming processes are extremely important in the production of many different items. However, the issue of plastic instability, which frequently results in damaged goods, still exists in this industry. To solve this problem during production, it is crucial to take into account a number of factors, limiting diagram of forming. Present case, the Aluminum Alloy (AA2014) has been used to examine its formability at various temperatures (423,523 and 623K) and at strain rates (0.1 mm/s). Stretch forming was used to acquire the study’s findings, and the Nakajima test was used. The findings were evaluated using fractography investigations carried out with SEM. The outcomes demonstrated that as the temperature rose, the material’s limiting stresses became more favorable. Utilizing LS-dyna software, the simulations were carried out. The experimental findings are within the acceptability limit according to this study