Different from traditional transport systems, such as cars or trains, which are limited by land transit space, flying cars (such as UAS, drones, and air taxis) do not occupy space with traffic. They have a degree of freedom in space and time, smaller displacement, and consequently, less stress for their users. Large companies and researchers around the world are working with different architectures, algorithms, and techniques to test air taxi transport to serve a significant proportion of people safely and autonomously. One of the main issues surrounding the diffusion of air taxis is safety and security, since a simple failure can lead to the loss of high-value assets, loss of the vehicle, and/or injuries to human lives, including fatalities. In this sense, despite significant efforts, the literature is still specific and limited regarding air taxi safety and security. Therefore, this study aimed to carry out an extensive systematic literature review of the main modern advances in techniques, architectures, and research carried out around the world focused on these types of vehicles. More than 210 articles from between 2015 and January 2022 were individually reviewed. In addition, this study also presents gaps that could serve as a direction for future research. As far as the authors are aware, no other study performs this type of review focused on air taxi safety.

Several market sectors are attracted by the potential of unmanned aerial vehicles (UAVs), such as delivery, agriculture, and cinema, among others. UAVs are becoming part of Internet of Things (IoT) networks in the development of autonomous and scalable solutions. However, these vehicles are gradually becoming attractive targets for cyberattacks. This study proposes the development of an efficient platform based on the Message Queuing Telemetry Transport (MQTT) protocol for UAV control and Denial-of-Service (DoS) detection embedded in the UAV system. For the efficiency test, latency, network and memory consumption on the platform were measured, in addition to the correlation between payload and delay time. The results of efficiency tests were collected for the three levels of quality of service (QoS). A strong correlation greater than 90% was found between delay and data size for all QoS levels, showing almost a linear proportion. In DoS detection, the best results were a true positive rate (TPR) of 0.97 with 16 features from the AWID2 dataset using LightGBM with Bayesian optimization and data balancing. Unlike other studies, the built platform shows efficiency for UAV control and guarantees security in the communication with the broker and in the Wi-Fi UAV network.

As Unmanned Aerial Vehicles (UAVs) become increasingly popular and affordable, it is essential to ensure their safe operation, especially around critical devices such as the aircraft's Global Positioning System (GPS). GPS plays an indispensable role in aviation systems. This study presents an efficient multiclass detection method to identify GPS attacks on UAVs, focusing on differentiating between spoofing and jamming attacks. The proposed approach outperforms existing methods. The results obtained in this study contribute to increasing the security of UAVs and provide valuable information for developing robust detection systems to combat evolving threats in the UAV domain.

Este estudo propõe um modelo preditivo para estimar o risco de feminicídio em espaços públicos no Brasil, integrando indicadores urbanos e dados de denúncias públicas. Utilizando Random Forest e bases abertas como Disque 180, SNIS e FBSP, o modelo obteve um Erro Absoluto Médio (MAE), de 0,25 casos por 100 mil mulheres. A variável mais relevante foi a taxa de denúncias, seguida da cobertura de iluminação pública e do horário de pico. A ferramenta desenvolvida inclui um simulador interativo para análise de cenários e apoio à formulação de políticas. Os resultados revelam padrões territoriais críticos e reforçam a importância do planejamento baseado em evidências.

A presença incipiente de mulheres na área de Tecnologia de Informação tem sido alvo recorrente de debates no Brasil e no exterior. Nesse contexto, com o tema “Experiências que inspiram”, foi proposto o I Fórum Gurias na Computação, integrado à “VII Semana Acadêmica do Campus Tecnológico de Alegrete”, que teve como proposta incentivar a troca de experiências entre profissionais da área de Computação e estudantes, assim como divulgar a área a estudantes do Ensino Médio. Busca-se, com este trabalho, compartilhar os resultados dessa experiência e seus desdobramentos, que inclui a proposta de uma ação de extensão para promover a participação feminina na Computação.

Intervention programs can be introduced to childhood so that children with autism spectrum disorder can improve their disabilities and have a better quality of life as they grow up. In this paper, the research in the area of autism supported by robotics is addressed Based on our literature review, three points deserve to be highlighted: diversity in the research focus, lack of contributions in autism's stereotyped behavior deficiency and reduced duration of interaction experiments. The results of this work can assist researchers in determining future directions and also inform and raise awareness of the population about autism, tools and existing technologies.