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This paper presents a systematic method for a hybrid adder design through allocating the optimal bit-widths and types of classical adders constituting a hybrid adder. The proposed optimization scheme considers two aspects design delay and power. It is based on a mathematical modeling of the proposed hybrid adder architecture following the principle of LP (Linear Programming). Two models, delay optimization under power constraint and power optimization under delay constraint, are introduced. Various experiments are presented to demonstrate the effectiveness and applicability of the proposed design scheme. The results indicate that the proposed scheme successfully allocates simultaneously and in a systematic way the optimal bit-widths of the sub-adders constituting a hybrid adder; providing an improvement in (power x delay) performance reaching 71.6%. The results obtained also indicate that the proposed design scheme introduces a high flexibility in making a compromise between delay and power of the adder design.

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Mixed reality (MR) is one of the technologies with many challenges in the design and implementation phases, especially the problems associated with time-sensitive applications. The main objective of this paper is to introduce a conceptual model for MR application that gives MR application a new layer of interactivity by using Internet of things/Internet of everything models, which provide an improved quality of experience for end-users. The model supports the cloud and fog compute layers to give more functionalities that need more processing resources and reduce the latency problems for time-sensitive applications. Validation of the proposed model is performed via demonstrating a prototype of the model applied to a real-time case study and discussing how to enable standard technologies of the various components in the model. Moreover, it shows the applicability of the model, the ease of defining the roles, and the coherence of data or processes found in the most common applications.