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             \author[1]{Nicy Kaur  Taneja}

             \author[2]{Dr. S.R.N.  Reddy}

             \affil[1]{  Indira Gandhi Delhi Technical University for Women}

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\date{\small \em Received: 10 December 2015 Accepted: 2 January 2016 Published: 15 January 2016}

\maketitle


\begin{abstract}
        


This paper provides an insight into the concept of computing and their applications. Different computational boards are available in the market for the development of a smart device. Many applications can be developed for the ease of the society. These devices provide great computing functions with mobility too and are smart enough to sense the surroundings. The paper will enlighten some of the important features of the computational platforms and three different applications using them depending on their functionalities

\end{abstract}


\keywords{pervasive computing, raspberry PI, intel galileo gen2, ARM MBed.}

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\let\tabcellsep& 	 	 		 
\section[{I. Introduction}]{I. Introduction}\par
he concept of computingenlightens the utilization of computer technology by involving hardware and/or software. Most of us use the computing technology in our day-to-day life but we may or may not realize it. The swiping of our credit/debit cards, smart phones, metro smart cards etc. utilizes the computing technology. The data was easily shared by distributing them acrosss different computers located at different locations. But due to its shortcomings of variation in network quality, limitation of weight and size of systems and constraint of battery consumption. These constraints led to the research of mobile computing in which each of the three: communication, hardware and software are mobile \hyperref[b3]{[4]}. It involves mobile networking, mobile information access, location sensitivity and energy saving techniques due to size of devices compared to large computer systems. The mobile device has some characteristics that produces the output depending on its location. For example, if a person sets the ringing of his mobile phone as vibration while in conference and on ringing while travelling then the application will utilize the user's location.\par
The context-awareness is a part of location sensitivity \hyperref[b0]{[1]}. It is not only limited to location. In fact it covers time, identity, light and social factors too. The mobile device presents the output depending on its inference from the surrounding characteristics and guides through the information surrounding us. Later on, to make these devices smart, the research led to pervasive computing. Pervasive computing provides an environment in which people interact with embedded processors or computers in a smart way \hyperref[b4]{[5]}. Some of the development boards are used for developing mobile applications whereas some for pervasive applications. The smart objects of pervasive computing application has information processing capability, embedded processor, communication capability, memory and the sensors and actuators. 
\section[{II. Literature Survey}]{II. Literature Survey}\par
Komal Tayde and Prof. Amit Bhala \hyperref[b3]{[4]} described the principles of context awareness, its applications and usability. They also addressed the risks involved in building context aware applications and the solutions to deal with them. Charith Perera, Chi Herold and Min Chen \hyperref[b0]{[1]} surveyed number of IoT solutions in terms of context-aware technology perspectives. Renuka and Prof. Vijay Bagdi [3] implemented a surveillance system using Raspberry Pi and PIR sensor to send the captured images to user's email id. Deepali and Mukund \hyperref[b4]{[5]} gave an insight into the concept of context, its need, design principles, models and requirement of context awareness applications. The context models describes how the context data is stored such as simple data structure, hierarchical data structure, graphical structure or using object-oriented techniques. 
\section[{III. Computational Platforms a) Raspberry Pi Development Board}]{III. Computational Platforms a) Raspberry Pi Development Board}\par
Raspberry Pi is a small computing platform which is not limited to run only on Linux but on Android and Windows operating system too  {\ref [11]}. It provides the hardware ports to connect USB, keyboard, mouse, microphone, speaker, camera, HDMI cable and SD card slot. This hardware platform can be prototyped to design a complete stand-alone computing system. It is best suited for application that requires multimedia support such as camera, audio and video. If the Linux image is used, the programming can be done in Python. If Raspberry Pi uses Windows platform, then the programming can be done using Microsoft Visual Studio IDE.   
\section[{c) ARM MBed Development Board}]{c) ARM MBed Development Board}\par
The Mbed has an ARM microcontroller in which is designed for prototyping low cost USB devices, battery powered applications \hyperref[b5]{[6]}. It is packaged as a small DIP form-factor for prototyping with through-hole PCBs, strip board and breadboard, and includes a builtin USB FLASH programmer. The board has an interface for both analog and digital sensors. For interfacing communication modules, transmitter and receiver pins are also available. It has a reset button which is used to erase any saved program in the board's memory. It also has four on-board LEDs. It can be programmed using a lightweight online compiler. The table gives an insight into the difference of hardware features between three different platforms. These differences helped us to effectively select the development board for its application. All the computational platforms has different operating frequencies. Their hardware and software features make them suitable for different applications. Raspberry Pi 2 can be used to design a complete mobile device but its distinctive feature is that it supports video and camera functionality. It has USB ports for connecting mouse, keyboard or other peripheral devices. Whereas Intel Galileo Gen2 can be used to design pervasive devices that are smart enough to sense the environment. ARM MBed board can be used to design smart devices that require less space.  
\section[{IV. Experiments}]{IV. Experiments}\par
After studying the hardware and software features of all the three development boards, different sensors were interfaced with them. This was done to build different pervasive applications on different platforms. 
\section[{a) To monitor room temperature using ARM Mbed Development Board}]{a) To monitor room temperature using ARM Mbed Development Board}\par
To monitor the room temperature, LM35 temperature sensor was interfaced with the computational platforms.      
\section[{V. Conclusion}]{V. Conclusion}\par
The trend of computing helped to understand the present computing scenario in terms of its need, structure and applications to the user as well as the society. The differences among the different computational platforms provides an intellectual understanding of their features. The selection of platform was done successfully to develop different applications based on their functionalities.\begin{figure}[htbp]
\noindent\textbf{1}\includegraphics[]{image-2.png}
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\noindent\textbf{5}\includegraphics[]{image-6.png}
\caption{\label{fig_4}Figure 5 :}\end{figure}
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\noindent\textbf{6}\includegraphics[]{image-7.png}
\caption{\label{fig_5}Figure 6 :}\end{figure}
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\noindent\textbf{7}\includegraphics[]{image-8.png}
\caption{\label{fig_6}Figure 7 :}\end{figure}
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\noindent\textbf{8}\includegraphics[]{image-9.png}
\caption{\label{fig_7}Figure 8 :}\end{figure}
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\noindent\textbf{9}\includegraphics[]{image-10.png}
\caption{\label{fig_8}Figure 9 :}\end{figure}
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\noindent\textbf{1} \par 
\begin{longtable}{}
\end{longtable} \par
 
\caption{\label{tab_0}Table 1 :}\end{figure}
 			\footnote{( ) © 2016 Global Journals Inc. (US)} 		 		\backmatter   			 \par
Author ?: M.Tech Student, Mobile and Pervasive Computing, Computer Science and Engineering Department, Indira Gandhi Delhi Technical University for Women, Delhi-110006. e-mail: nicytaneja18@gmail.com Author ?: Head of Department, Computer Science and Engineering Department, Indira Gandhi Delhi Technical University for Women, Delhi-110006. e-mail: rammallik@yahoo.com 			  			  				\begin{bibitemlist}{1}
\bibitem[ Mobile Education Kit (2015)]{b5}\label{b5} 	 		\textit{},  		 \url{Retrievedfromwww.mobileeducationkit.net}  	 	 		\textit{Mobile Education Kit}  		2015. July 23.  	 
\bibitem[Mbed (2015)]{b4}\label{b4} 	 		\textit{},  		 			Lpc11u24 Mbed 		.  		 \url{https://developer.mbed.org/platforms/mbed-LPC11U24/}  		2015. May 10.  	 
\bibitem[Started et al. (2015)]{b7}\label{b7} 	 		\textit{},  		 			Getting Started 		,  		 			The 		,  		 			Generation 		,  		 			Board 		.  		 \url{fromhttp://robtiffany.com/getting-started-2nd-generation-intel-galileo-arduino-board/}  		2015. November 20.  	 
\bibitem[Intel Galileo Gen2 (2015)]{b8}\label{b8} 	 		\textit{},  		 			Intel Galileo Gen2 		.  		 \url{https://www.raspberrypi.org}  		2015. November 29. 2015. December 14.  	 
\bibitem[Komal Tayde and Bhala (2015)]{b2}\label{b2} 	 		‘Context Awareness in Mobile Computing’.  		 			Prof Komal Tayde 		,  		 			Bhala 		.  	 	 		\textit{International Journal of Advance Research in Computer Science and Management Studies}  		July 2015. 3  (7) .  	 
\bibitem[Perera et al. (2015)]{b0}\label{b0} 	 		‘Context-aware Computingin the Internet of Things: A Survey on Internet of Things From Industrial Market Perspective’.  		 			Charith Perera 		,  		 			Chi Harold Liu Member 		,  		 			Srimal Jayawardena 		,  		 			Min Chen 		.  		 DOI: 10.17485.  	 	 		\textit{Indian Journal of Science and Technology}  		January 2015. 2015/ v8i13/72137. July 2015. IEEE. 8  (13) .  	 	 (Study on the Context Awareness that the Order Search System in a Distributed Computing Environment) 
\bibitem[Dr et al. ()]{b6}\label{b6} 	 		‘SHome: Smart Home Environment with Gen2’.  		 			S R N Dr 		,  		 			Reddy 		,  		 			K Sumit 		,  		 			Preeti Yadav 		,  		 			Nicy Sharma 		,  		 			Monika Taneja 		.  	 	 		\textit{International Conference on Computational Techniques in Information and Communication Technologies},  				2016. p. .  	 
\bibitem[Ms et al. (2016)]{b1}\label{b1} 	 		‘Smart Surveillance Security \& Monitoring System" Using Raspberry PI and PIR sensor’.  		 			Ms 		,  		 			Prof Vijay Chuimurkar 		,  		 			Bagdi 		.  	 	 		\textit{International Journal of Scientific Engineering and Applied Science}  		January 2016.  (2) .  	 	 (IJSEAS) 
\bibitem[Mrs et al. (2015)]{b3}\label{b3} 	 		‘Survey of Context-Aware Systems-Challenges in development of Context-Aware Applications’.  		 			Mrs 		,  		 			P Deepali 		,  		 			Dhokane 		,  		 			Mr 		,  		 			S Mukund 		,  		 			Wankhade 		.  	 	 		\textit{International Journal of Application or Innovation in Engineering \& Management (IJAIEM)}  		May 2015. 4  (5) .  	 
\end{bibitemlist}
 			 		 	 
\end{document}
