Titlebook: Innovations in Smart Cities and Applications; Proceedings of the 2 Mohamed Ben Ahmed,Anouar Abdelhakim Boudhir Conference proceedings 2018

Commentary

Kenza Sakout Andaloussi,Laurence Capus,Ismail Berrada the logical structure and relationship of such algorithms, but also to provide a unifying implementation framework. Several adaptive fault-tolerant protocols are given as examples. A technique for implementing the model in a distributed system using an event-driven approach for composing protocols

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Adil Iguider,Mouhcine Chami,Oussama Elissati,Abdeslam En-Nouaary Thus, the basic model will be modified to represent the repair process with detail, differentiating its two phases: replacement and reconstruction. Also, the influence of a limited number of on-line spares on the reliability of the system will be considered. Thereinafter, using the structure of the

AMPLE

Mounir Gouiouez,Meryeme Hadnid. The error coverage for a particular input sequence is then predicted by means of a weighted sum of these coverage factors. The weight factors are obtained by analysing the execution profile and data usage of the input sequence. Experimental results show that the methodology can identify input seq

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on layers without the necessity to further consider the full details of lower levels of design. This chapter introduces the ideas of RAP based on examples of particle strike, noise and voltage drop induced bit errors in SRAM cells. Furthermore, we show by different examples how probabilistic bit fli

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explicit

Model Driven Modernization and Cloud Migration Framework with Smart Use Casenization iterative and incremental process to overcome the listed issues above. This process is based on the concept of smart use case combining with the architecture driven modernization (ADM) approach. The last consists on followed the steps: Reverse Engineering, Transformation/Upgrade, and Forwar

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Reverie

Automatics Tools and Methods for Patents Analysis: Efficient Methodology for Patent Document Clusterfields of application and the target data. In view of this, we propose in this paper a methodology for obtaining an efficient clustering for patent documents based on the k-means, k-means ++ algorithm and various data-mining and text-mining techniques. Commons issues often faced during the analysis