Recent advances in unmanned aerial vehicles (UAVs), or drones, have made them able to communicate and collaborate, forming flying ad hoc networks (FANETs). FANETs are becoming popular in many application domains, including precision agriculture, goods delivery, construction, environment and climate monitoring, and military surveillance. These interesting new avenues for the use of UAVs are motivating researchers to rethink the existing research on FANETs. Therefore, this paper provides a comprehensive and thorough review of the different types of UAVs used in FANETs, their mobility models, main characteristics, and applications, as well as the routing protocols used in this type of network. Other important contributions of this paper include the investigation of emerging technologies integrated with FANETs.
O estudo propoe uma abordagem direcionada a Teoria das Opcoes Reais aplicada em trabalhos de Auditoria Interna de TI de uma instituicao financeira, visando resolver o problema de como melhorar a rentabilidade dos trabalhos de auditoria de TI. Este estudo e classificado como pesquisa aplicada, enquadrada como do tipo exploratoria, com abordagem qualitativa, utilizando a Teoria do Enfoque Meta Analitico Consolidado para emoldurar artigos relevantes relacionados ao tema. O objetivo do estudo e analisar a aplicabilidade da Teoria das Opcoes Reais na Auditoria Interna de TI, com intuito de otimizar ganhos operacionais. O resultado do artigo demonstra o cenario estudado; a modelagem da aplicacao da teoria das opcoes reais e um modelo sintetizado para aplicacao da TOR em trabalhos de auditoria interna de TI. A proposta de modelo foi validada com os especialistas que atuam na auditoria, com intuito de coletar os feedbacks para o seu aperfeicoamento. Por fim, foram propostas acoes a serem implementadas, como a aplicacao do modelo em demais projetos da instituicao financeira. Pretende-se que os resultados sejam uteis para adequacao e atualizacao da gestao de trabalhos de auditoria nas organizacoes.,
Managing and evolving a chatbot's content is a laborious process and there is still a lack of standardization. In this context of standardization, the absence of a management process can lead to bad user experiences with a chatbot. This work proposes the Chatbot Management Process, a methodology for content management on chatbot systems. The proposed methodology is based on the experiences acquired with the development of Evatalk, the chatbot for the Brazilian Virtual School of Government. The focus of this methodology is to evolve the chatbot content through the analysis of user interactions, allowing a cyclic and human-supervised process. We divided the proposed methodology into three distinct phases, namely, manage, build, and analyze. Moreover, the proposed methodology presents a clear definition of the roles of the chatbot team. We validate the proposed methodology along with the creation of the Evatalk chatbot, whose amount of interactions was of 22,771 for the 1,698,957 enrolled attendees in the Brazillian Virtual School of Government in 2020. The application of the methodology on Evatalk's chatbot brought positive results: we reduced the chatbot's human hand-off rate from 44.43% to 30.16%, the chatbot's knowledge base examples increased by 160% whilst maintaining a high percentage of confidence in its responses and keeping the user satisfaction collected in conversations stable.
Automatized scalable healthcare support solutions allow real-time 24/7 health monitoring of patients, prioritizing medical treatment according to health conditions, reducing medical appointments in clinics and hospitals, and enabling easy exchange of information among healthcare professionals. With recent health safety guidelines due to the COVID-19 pandemic, protecting the elderly has become imperative. However, state-of-the-art health wearable device platforms present limitations in hardware, parameter estimation algorithms, and software architecture. This paper proposes a complete framework for health systems composed of multi-sensor wearable health devices (MWHD), high-resolution parameter estimation, and real-time monitoring applications. The framework is appropriate for real-time monitoring of elderly patients' health without physical contact with healthcare professionals, maintaining safety standards. The hardware includes sensors for monitoring steps, pulse oximetry, heart rate (HR), and temperature using low-power wireless communication. In terms of parameter estimation, the embedded circuit uses high-resolution signal processing algorithms that result in an improved measure of the HR. The proposed high-resolution signal processing-based approach outperforms state-of-the-art HR estimation measurements using the photoplethysmography (PPG) sensor.
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