Dexterous programming improvement is characterized as quick advancement and conveyance of the product in the prerequisite changing conditions, which is appropriate for the present day business situations. So requirement analysis and classification is an essential task for the agile method in this paper review on different supervised and unsupervised learning on requirement classification and reusability

Asthma affects more than 334 million people in the world. Asthmatics have difficulty in breathing due to airway obstruction, which was caused by infection and narrowing of the air lane. Mainly spirometry was used to measure the wind stream obstacle and lung work. The equipment utilized for estimating are massive and require checking so that we are using Portable Peak Flow Meters to monitor the patient remotely. Portable spirometers that have recently been connected to an external mobile device have been developed. Who is able to gather top expiratory stream, lapsed nitric oxide, carbon monoxide and oxygen fixation data from patients and be able to send information by mail directly to the doctor to monitor patients with the disease

Wireless sensor network provides an infrastructure that comprises of densely distributed sensors sensing the environmental changes, processing detected signals and communicating with other sensors. The sensors self-configure themselves to operate and adapt to the changing environment without human intervention. Due to the unique characteristics and unattended operating environment of sensor, they become attractive targets for the attacker for lancing attacks like unauthorized access, tampering and physical assault. Hence, designing of security protocol for providing integrity, authenticity, confidentiality, privacy, etc. becomes mandatory. The paper discusses the necessity of security services and security protocols for the secure communication and transmission of data in a wireless sensor network.

The estimation of increment in energy consumption is very important for power sector of all governments. Forecasting of future energy consumption and forecasting of peak load demand is more important for power sector to regulate the electrical supply. A wide range of mathematical and computational approaches are available for forecasting. With the intention of forecast the peak load demand of year 2020 for India, two different computational approaches ANN via MATLAB and Extrapolation via MS-Excel are proposed in this study.

The web has developed from associating PCs to interfacing ordinary things that collaborate with nature. Installed gadgets that are IP-empowered can be utilized for ongoing remote observing in the IoT condition. This work exhibits a productive strategy for constant remote observing of natural parameters utilizing Intel Galileo – an IP sensor hub that gets the information from the earth like temperature, weight and so on and a server that is associated with the Wi-Fi switch that goes about as an entryway for this system. The Web server furnishes the constant sensor data with dynamic updates as the site page to the remote customer.