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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Desenvolvimento de algoritmos de IA para dispositivos vestíveis utilizando computação de borda.
(2023) Silva, Jonathan Cristovão Ferreira da; Oliveira, Ricardo Augusto Rabelo; Silva, Mateus Coelho; Oliveira, Ricardo Augusto Rabelo; Silva, Saul Emanuel Delabrida; Nacif, José Augusto Miranda; Amorim, Vicente José Peixoto de
Os dispositivos vestíveis estão cada vez mais presentes em nossas vidas. Além disso, os algoritmos de inteligência artificial vêm se tornando essenciais para com- por estes dispositivos. Como os dispositivos vestíveis são restritos de recursos, tec- nologias que exigem grande capacidade computacional podem ser inviáveis para aplicações neste contexto, principalmente quando se trata da computação de borda. Visto isso, o trabalho propõe o desenvolvimento de algoritmos de inteligência arti- ficial para integração nestes dispositivos com o processamento dos dados na borda, sem utilizar recursos em nuvem. Esta proposta é validada com base em dois estudos de casos. O primeiro estudo de caso é a aplicação de técnicas de Machine Learning e Deep Learning na agricultura, com o objetivo de desenvolver um capacete inte- ligente para realizar inspeção de doençãs em laranjas. No segundo estudo de caso ́e desenvolvida uma nova solução vestível para o reconhecimento de atividade de caminhada. Com o auxílio de três algoritmos de IA, este estudo de caso apresentou novas perspectivas para autoavaliação do usuário a partir dos dados coletados na atividade realizada. Dessa maneira, esse trabalho apresenta uma análise de aspec- tos do desenvolvimento de algoritmos de IA para integração em dois dispositivos vestíveis através da computação de borda.
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 Delabrida
Wearable 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.
Wearable edge AI towards cyber-physical applications.
(2023) Silva, Mateus Coelho; Oliveira, Ricardo Augusto Rabelo; Ribeiro, Sérvio Pontes; Bianchi, Andrea Gomes Campos; Oliveira, Ricardo Augusto Rabelo; Teixeira, Fernando Augusto; Silva, Jorge Miguel Sá; Correia, Luiz Henrique Andrade; Silva, Saul Emanuel Delabrida; Amorim, Vicente José Peixoto de
The creation of novel technologies to support field work and research has a major impact from technologies such as the Internet of Things (IoT), Edge Computing and wearable computing. In this context, Artificial-Intelligence-based systems became more common and a trend in recent work. Environments with low connectivity and high latency in data transmission enforce the usage of Edge Computing technologies in the treatment of acquired data. Nonetheless, there is no clarity in how to transport Artificial Intelligence (AI) to Edge Computing in extreme environments, given the complexity of the requirements. This gap is more clear in the context of wearable computing, where the systems restrictions for developing systems are even harder. Thus, this work presents a protocol for developing Edge AI appliances and some case-study applications in the context of wearable devices. This study helps to evaluate the creation of Wearable Edge AI context as a novel research field.