Afro-European Conference for Industrial Advancement: by Ajith Abraham, Pavel Krömer, Vaclav Snasel

By Ajith Abraham, Pavel Krömer, Vaclav Snasel

This quantity comprises accredited papers awarded at AECIA2014, the 1st overseas Afro-European convention for commercial development. the purpose of AECIA was once to compile the key specialists in addition to first-class younger researchers from Africa, Europe, and the remainder of the realm to disseminate newest effects from numerous fields of engineering, info, and communique applied sciences. the 1st version of AECIA was once equipped together by way of Addis Ababa Institute of know-how, Addis Ababa collage, and VSB - Technical collage of Ostrava, Czech Republic and happened in Ethiopia's capital, Addis Ababa.

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Additional info for Afro-European Conference for Industrial Advancement: Proceedings of the First International Afro-European Conference for Industrial Advancement AECIA 2014

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So, reliable protocol that detect a data loss and recover from them is necessary. 4 Research Organization In this section, introduction about WSNs, particularly about multiple sources multiple sink type WSNs, is presented. In section two, recent related works that have been done related to reliable data transmission is discussed. The design of the new protocols is presented in section three. In section four, simulation results and performance evaluation are discussed. At last, the conclusion and possible future work are described.

Kumaran mobile traffic, can be handled by increasing the number of cells by cell splitting. But, microcell deployment in turn increases the cost of infrastructure equipment to 30% of Total Cost of Ownership (TCO) [5] and OAM costs. (iv) Space limitation: In traditional RAN each base station should be placed in the geographical center of its coverage area. Operators find difficult to get the space to install the base station enclosures in dense urban areas [6]. Even if site locations are available, the mobile operators have difficulties in renting the real estate, finding proper powering options, securing the location and protecting the equipment from weather conditions etc.

Although more accurate than previous ones, the optimized models still do not pass the χ2 test. Thus, from a strict statistical perspective, these models do not match the data. There is a plenty of opportunities for further work in this area. g. R2 , RMSE) as well as other real-parameter optimization methods can be used for meta-heuristic wind direction distribution estimation. Another research direction is the design of an algorithm that would automatically select the number of distributions needed in the mixture to represent given data well.

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