This paper presents a cost-effective multipurpose drone equipped with multiple functionalities including water floating mechanism, water sampling, onboard sensor enabled water & air quality monitoring, live video surveillance using GPS and video recording capability. The proposed system integrates a water floating mechanism on the system capable of landing & floating on water surface with high degree of stability & precision. It can collect water samples with 50 ml to 100 ml per flight from surface of water sources including pits, ponds etc with stable water current. The system is equipped with video & image surveillance mechanism on the board with GPS and video recording capability. We have equipped high quality Go-Pro 6 HD action camera on our UAV. The system is capable of sending high quality live video/image feeds directly to the base station in real time. It is also equipped with CO & AQI gas sensors to monitor air samples at multiple locations & provide live feeds on air quality index to base stations for its further analysis on quality. This paper presents a working model & results of few experiments that are carried out at initial level. The system has been tested on few parameters including sampling rate, cost effectiveness, efficiency, water & air quality index, payload, video surveillance etc. This work is a part of the research project funded by our affiliating university “A.P.J Abdul Kalam Technical University, Lucknow, U.P, India.

Requirement Elicitation identify as one of the most crucial knowledge intensive activities of software development. Most of the system fails due to use of wrong elicitation practice. A requirement is defined as a demand or needs. A System may have a dozen to thousands of requirement. Without the Elicitation technique it is impossible to find out the requirement and need of developing system. After Elicitation Technique we need to prioritize their requirements. This Research paper is based on understanding technique and their usage in the real time applications by using the Elicitation Technique and Prioritization Technique we know that it is important for knowing the need of the stakeholder so that the system developer can get a clear view of requirement for the developing system.

The paper presents a back propagation based artificial neural network learning algorithm for recognizing human faces. We have worked on eight features for recognition. A facial recognition system has been proposed to recognize registered faces in the database & new faces that are not part of the database. The basic objective is to understand the ability of back propagation learning algorithms for face recognition task. Few experimental observations have also been provided.