A Non Conventional Energy Based Mobile Charger towards Green Computing
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2017, Vol 19, Issue 2
Abstract
Conventional energy are tapped and used abundantly at present. Keeping in observance a way of precaution is taken to upturn the use of non-conventional energy. Decreasing the use of conventional energy, a two way (or twin) hybrid mobile charger is taken in consideration for implementing both solar energy and wind energy, as the renewable sources of energy. The proposed innovative two way hybrid mobile charger can be used both all through day time and night time, while travelling by possessing the device near the vehicle window panel or motorcycle handle. Energy harvesting is explored, with a device relying on the solar panel energy observation and turbine on formation of electrical energy from solar and wind energy owing to the availability of wind and solar energy. Wind energy and solar energy is considered as the main source for the generation of energy along with AC charger input option within it. The energy generation from the use of non- conventional source of energy in the charger and AC input option will definitely bring a prodigious walkover. The novelty of the product lies in its innovation, effortless simplicity and indisputable intention, accentuating the underlying societal impact and leads towards green computing.
Authors and Affiliations
Kaushik Kumar, Shrabanti Saha, Aniket Kumar, Sudipta Sahana
Real Time Facial Emotion Recognition using Kinect V2 Sensor
Abstract: The emotional facial expression is an important element in human communication, along with otherforms of non-verbal communication, such as gestures and postures. The human facial expression, with itscunni...
Video Steganography: A Survey
Abstract: Recent advances in information technology have made quick delivery and sharing of multimedia information possible. But these advances in technology are leading breaches to information security and personal info...
Face Recognition using Feed Forward Neural Network
Abstract: In this paper, we propose four techniques for extraction of facial features namely 2DPCA, LDA, KPCA and KFA. The purpose of face feature extraction is to capture certain discriminative features that are unique...
A Brief Study on Wireless Communication Network Architecture and Sensor Networks
Abstract : In today's focused the operational and business requests of electric utilities require an elite information correspondence arrange that backings both existing functionalities and future operational necessities...
A Modular Approach To Intrusion Detection in Homogenous Wireless Network
Wireless network is the latest and popular technology nowadays. Due to its ample advantage in various fields, it has always been the prime target for hackers and attackers to break through its security and the...