Vermicomposting of Vegetable Wastes Using Cow Dung

Municipal solid wastes are mainly from domestic and commercial areas containing recyclable toxic substances, compostable organic matter and others. With rapid increase in population, the generation of municipal solid wastes has increased several folds during last few years. Disposal of solid wastes can be done by methods like land filling, incineration, recycling, conversion into biogas, disposal into sea and composting. Vermicomposting is one of the recycling technologies which will improve the quality of the products. The present study aims to find out the possibility of utilization of vegetable wastes for vermiculture. EarthwormMegascolex mauritiicultured in plastic trays (45 x 30 x 30 cm) containing soil alone (control) (T1), soil + cow dung (T2), soil + vegetable waste (T3) and soil + vegetable waste + cow dung (T4) for 60 days. Nutrient values were determined from the compost and compared with that of the control. From these results, it was found that NPK values were maximum in compost obtained from vegetable waste with the use of cow dung.</jats:p

IOT monitoring membrane computing based on quantum inspiration to enhance security in cloud network

Human computation is a technology inspired by nature. The majority of its computational sources are physiologically motivated computations. The existing calculation, on the other hand, uses some conventional techniques to complete the work. In the cloud, IaaS is one of the most basic services, offering a wide range of functions to a large number of customers. Modelling a number of species using P systems with different membrane structure types to predict the number of individuals is a major advantage of the proposed work. Even though it provides large number services (or) features to the user always it faces many numerous obstacles in Infrastructure service in cloud network, such as Authentication and Authorization, Data leakage and monitoring, End to End encryption, there is a risk of lack of security. Traditional encryption approaches also employ efficient methods to build cloud network security. It does, however, have some flaws in terms of IaaS. The work proposed membrane infrastructure based on the quantum inspiration. It will used to overcome such challenges. It is possible to minimize current constraints by employing this strategy. The paper proposes to employ basic distributed computational methods in an open and natural setting to provide membrane systems as a suitable framework for cloud environments for providing unique security among cloud users. They employ a framework for defending against intruder attacks. It is possible to address key cloud computing security difficulties by integrating Quantum Computing between the membrane environments with Cloud Computing technology. The proposed effectiveness and outcomes are monitored with the help of Internet of Things (IoT). This level introduces a revolutionary method to cloud security by incorporating quantum protocols into a membrane environment. The proposed SEDFA is the better method with all types of datasets and the Communication Cost by 5%, Encoding Time (ET) by 2 s, and Decoding Time (DT) by 0.5 s

Machine Learning Based Mammogram Classification for Breast Cancer Diagnosis Using Neural Networks

Among females, breast cancer is high as a major killer. Breast cancer is easily diagnosed when anomalies are spotted in their earliest stages. Accurately diagnosing breast cancer and treating patients as soon as possible will be facilitated by effective diagnostic technologies. Experiments were performed to determine if breast cancers were benign or malignant using data from the Wisconsin Diagnosis Breast Cancer database. To do this, we employ the supervised learning algorithm Support Vector Machine (SVM) with kernels such as Linear and Neural Networks (NN). Comparing the models' results reveals that the Neural Network technique is more "accurate" and "precise" than the Support Vector Machine in the categorization of breast cancer and appears to be a quick and efficient method