PPGCC - Programa de Pós-graduação em Ciência da Computação
URI permanente desta comunidadehttp://www.hml.repositorio.ufop.br/handle/123456789/596
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Resultados da Pesquisa
Item A proposal to improve wearables development time and performance : software and hardware approaches.(2019) Amorim, Vicente José Peixoto de; Oliveira, Ricardo Augusto Rabelo; Oliveira, Ricardo Augusto Rabelo; Aquino, André Luiz Lins de; Rodrigues, André Miguel; Ramos Filho, Heitor Soares; Martins, Henrique Resende; Nacif, José Augusto Miranda; Silva, Saul Emanuel DelabridaWearable devices are a trending topic in both commercial and academic areas. Increasing demand for innovation has raised the number of research and products, addressing brandnew challenges, and creating profitable opportunities. Current wearable devices can be employed in solving problems in a wide variety of areas. Such coverage generates a relevant number of requirements and variables that influences solutions performance. It is common to build specific wearable versions to fit each targeting application niche, what requires time and resources. Currently, the related literature does not present ways to treat the hardware/software in a generic way enough to allow both parts reuse. This manuscript presents the proposal of two components focused on hardware/software, respectively, allowing the reuse of di↵erent parts of a wearable solution. A platform for wearables development is outlined as a viable way to recycle an existing organization and architecture. The platform use was proven through the creation of a wearable device that was enabled to be used in di↵erent contexts of the mining industry. In the software side, a development and customization tool for specific operating systems is demonstrated. This tool aims not only to reuse standard software components but also to provide improved performance simultaneously. A real prototype was designed and created as a manner to validate the concepts. In the results, the comparison between the operating system generated by the tool versus a conventional operating system allows quantifying the improvement rate. The former operating system showed approximate performance gains of 100% in processing tasks, 150% in memory consumption and I/O operations, and approximately 20% of reduction in energy consumption. In the end, performance analysis allows inferring that the proposals presented here contribute to this area, easing the development and reuse of wearable solutions as a whole.