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Computing in the cloud is the method that is most frequently employed by companies for the purpose of storing huge volumes of data. In the data-driven society that we live in today, a significant amount of data is produced each day. You are going to need data backup and recovery services in the event that you suffer an unplanned loss of these files. Here, we examine a variety of data-protection methods in order to compare and contrast their respective merits and downsides and to better understand the innovative aspects of each technique.

Cognitive Radios are the best available options for the increasing number of devices and users who need to access the limited physical spectrum for wireless network communications. They use the spectrum efficiently and allow the secondary users to be accommodated to use the network spectrum when the primary users are not actively transmitting. However, sensing the channel for primary users and their active transmissions is a challenge because there are numerous parameters in the transmission that are uncertain. The paper addresses this problem of channel sensing by proposing a parallel transmission and hence power control scheme has been developed for the transmission to analyze the power management and QoS parameters. The design has been simulated using the Qualnet simulation tool.

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A neurological condition of the brain is Parkinson's disease. It causes the body to shake, the hands to shake, and it makes the body stiff. At this advanced level, there is still no viable treatment or cure. Only when treatment is initiated at the earliest stage of the disease is it effective. These could potentially save a life in addition to lowering the cost of the illness. The majority of ways can identify Parkinson's disease after it has advanced, which results in basal ganglia, which regulates movement of the body with a small quantity of dopamine, losing about 60% of their dopamine. The presence of diminutive precursors to chronic diseases, especially neurologically based ailments such as Parkinson’s can indicate and diagnose them in their earliest stages. Parkinson’s disease (PD) is characterized by symptoms such as spasms in the limbs, jaw, and head, rigidity in the limbs and trunk, slow movement, etc. It is important to notice these preliminary symptoms early on to avoid developing Parkinson's disease. This project proposes algorithms used on the dataset to predict PD. Two kinds of datasets are used; one voice dataset and another spiral drawing dataset, and algorithms are used in these datasets to predict the disease and to show the results a user-friendly Web-Application is developed. The algorithms used are K-Nearest Neighbours (KNN) on voice dataset implementation and Random Forest on spiral drawing implementation.