Nowadays, social networks are becoming common platform of our emotion, sentiment, personality, and so on. A significant number of studies are also available about sentiment and emotion analysis from social network data. We observe that there are few studies are available those compute sentiment over real time data in Twitter and Foursquare. In this paper, we have conducted a research that can compute sentiment from real time data in a social network. We also use multiple techniques to compute sentiment such as sentiwordnet and textblob. We analyze the sentiments of a human from his/her twitter and from the location in foursquare of that person.
Presently, smartphones support a large range of applications, many of which require high computing power. This presents a problem because smartphones offer limited computing power, storage, and energy. Fortunately, Cloud computing (CC) is rapidly becoming known as the state of the art technology in the computer world. CC allows users to use unlimited dynamic resources when necessary. Mobile Cloud Computing (MCC) is integration into a mobile environment of the concept of cloud computing which eliminates barriers to the performance of mobile devices. The demand for mobile cloud applications and mobile user services is strong. This gives MCC a great opportunity to do business and research. However, security problems are a major obstacle to the adaptability of mobile cloud computing. This study presents the definitions of Cloud Computing, Mobile Computing (MC) and Mobile Cloud Computing including the architecture and applications of MCC. Furthermore, it discusses the challenges and opportunities faced in MCC.
On the verge of exhausting fossil fuels, solar energy is the one of best options for the primary source of energy as it is renewable, eco-friendly and safe to use. An intelligent solar tracker will attempt to navigate to the best angle of exposure of the sun ensuring that the maximum amount of sunlight strikes the panel throughout the day. The main reason for pursuing this paper is to establish the idea that a tracker aided array of PV modules produces more power over a longer time than a stationary array with the same number of modules.
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