Banca de DEFESA: HONORE VICENTE CESARIO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : HONORE VICENTE CESARIO
DATE: 12/04/2022
TIME: 08:30
LOCAL: Remoto
TITLE:

Towards an architecture for device management through voice-controlled virtual assistants

KEY WORDS:

IoT, Automation, Network Management.

PAGES: 63
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Sistemas de Computação
SUMMARY:

The number of IoT devices in the world grows exponentially and is expected to exceed 75 billion in the coming years. Its use in home automation processes has grown and, as a result, an increasing number of users without technical knowledge (or with reduced technical knowledge) have made use of these devices. The wide variety of manufacturers and the lack of standardization in the features available can generate doubts among users and lead them to make wrong settings, harming the management of these equipment. Performing these settings can be even more challenging for people with disabilities. According to data presented by IBGE, more than 45 million people have some type of disability, which corresponds to almost 24% of the population. Faced with these challenges, this work proposes a layered architecture, based on independent modules, where this architecture will allow, through voice commands or text and using natural language, a user can perform complex configurations, without the need for advanced technical knowledge regarding infrastructure or specifics of the network device used. For this purpose, among other technologies, natural language processing, machine learning and text-to-speech conversion will be used. A survey of the state of the art regarding solutions aimed at configuring, activating and monitoring devices is presented, as well as a prototype for validation and evaluation of the functioning of the architecture proposed in this research. For future improvements can be implemented in the chatbot, its design was submitted to an evaluation to identify possible existing problems. Finally, in the quantitative tests carried out to verify the assertiveness of the prototype developed, its accuracy was greater than 83%.

BANKING MEMBERS:
Presidente - 3139050 - ROGER KREUTZ IMMICH
Interno - 2140727 - GUSTAVO GIRAO BARRETO DA SILVA
Externo à Instituição - André Figueira Riker
Externo à Instituição - Bruno Dalmazo - FURG