Abstract: The aim of this paper is to use high-order harmonic balance method (HBM) as a novel solution procedure for investigation of the Duffing-relativistic oscillation. Usually, a set of complex nonlinear algebraic equations is appeared when HBM is applied. Investigating analytically for such kind of complex nonlinear algebraic equations is tremendously difficult and cumbersome. In the present study, a small parameter is found, for which the power series solutions produces desired results. The obtained results are evaluated by comparing with the exact solutions computed numerically. The effect of initial conditions in the nonlinear natural frequencies is carried out and it is proved the proposed method is not only simple, but also more reliable for analysis for the Duffingrelativistic oscillator. The method is mainly illustrated in strongly nonlinear Duffing-relativistic oscillator, but it can be widely applicable in other problems arising nonlinear sciences and engineering.

• Publication Date: 29-Dec-2015
• DOI: 10.15224/978-1-63248-082-8-14
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Abstract: In Internet of Things (IoT), heterogeneous objects are connected as networks to facilitate the exchange of goods and services. These objects, varying from electronic devices to physical entities, rely on data models to be accessed and achieve their digital functionality. Nevertheless, we observe a divergence of data models in current IoT environments which has been influencing data exchange, share and integration from different sources. In this paper, we present a survey on IoT data models and provide background for a common understanding. Firstly, we introduce the concept of IoT and its emergence; and then we discuss IoT data models according to data structure and management operations to show current achievements and limitations; at last we illustrate the challenges and prospects to shed light on future work.

• Publication Date: 29-Dec-2015
• DOI: 10.15224/978-1-63248-082-8-15
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