Marcos Roriz

• PhD in Computer Science
• Professor (Adjunct) at Federal University of Goiás

Avanças as política e tecnologias de transporte escolar é fundamental para garantir o acesso ao ensino as crianças. Neste sentido, este estudo tem como objetivo investigar como as inovações tecnológicas da informação e comunicação têm sido aplicadas no setor de transporte escolar, como um enfoque na segurança, eficiência e inclusão dos alunos. Para...

O presente artigo tem o objetivo de apresentar a aplicação de aprendizado de máquina para a classificação de perdas por making-do. Após a compreensão da tipologia dos dados de entrada para classificação das perdas foi feito um levantamento dos possíveis modelos de algoritmos que poderiam classificar as perdas. Posteriormente foi utilizado um banco...

A factor that impacts airlines' resources is the verification of luggage’s dimensions during the boarding process. Companies often rely on a human operator to perform this check using a manual template, which can cause delays. As an alternative, companies are investing in self bag drop systems. This process introduces new technological challenges s...

Air transport is one of the fastest growing markets in the world and one of the most relevant sectors for the development of the country’s economy. However, all this growth also leads to increased occurrence of accidents. Birdstrikes are a specific type of accident that has been a problem for aviation since its inception. Understanding the dangers...

RESUMO O despacho de bagagens por parte do próprio passageiro (self bag drop) possibilita reduzir o tempo de embarque. Entretanto, esse processo introduz novos desafios tecnológicos a aeroportos e companhias aéreas, em particular a verificação da conformidade das dimensões das bagagens. As soluções atuais para esse problema utilizam dispositivos co...

A factor that impacts airlines' resources is the verification of luggage's dimensions during the boarding process. To check conformity, companies usually rely on a human operator. To mitigate this issue, companies are investing in automatic self-bag drop systems. This process introduces new technological challenges, since, in this scenario, the ver...

Triage is a fundamental process in hospitals and emergency care units, as it allows for the classification and prioritization of patient care based on the severity of their clinical conditions. In Brazil, the triage of suspected COVID-19 cases is performed using a specific protocol, which involves manual steps, requiring the completion of four diff...

An important piece of information for planning public transportation is the number of passengers using the system. Several initiatives have started to explore the Wi-Fi packets generated by passengers’ smartphones as means to obtain this information. A sensing device located inside the bus can intercept and collect these packets. By applying filter...

Aplicações de Internet das Coisas para a detecção de pessoas em ambiente internos tornam-se cada vez mais útil, principalmente em tempos de pandemia, em que é importante identificar quais pessoas estiveram próximas em um mesmo local e por quanto tempo. Considerando esse cenário, este artigo apresenta uma arquitetura de software distribuída que util...

Abstract Spatial concentrations (or spatial clusters) of moving objects, such as vehicles and humans, is a mobility pattern that is relevant to many applications. Fast detection of this pattern and its evolution, e.g., if the cluster is shrinking or growing, is useful in numerous scenarios, such as detecting the formation of traffic jams or detecti...

Most of information technologies courses are focused on exposing the traditional static data (e.g., SGBD) processing model and lack on presenting the data stream model. Such model can be applied to fields such as Internet of Things, busyness and finances, logistics and smart cities) of the industry. Complex Event Processing consists of a programmin...

Several smart city systems have focused on addressing a specific mobility problem scenario (e.g., air pollution, traffic jam) in a given city. The task of adding, extending, or porting the smart city scenario to other cities can be very challenging due to the rigid structure of such existing systems. To address this issue, in this paper we investig...

Um sistema de classificação para a malha hidroviária, é uma importante ferramenta para tomada de decisões e fornece diretrizes para futuros dimensionamentos de canais, pontes e eclusas para as embarcações, além de ser fundamental para alcançar maior e melhor uso da navegabilidade das mesmas. Um sistema de classificação se dá através de um conjunto...

A contagem de passageiros constitui uma importante parte na gestão e otimização do transporte público. Diversas iniciativas de Sistemas Inteligentes de Transporte têm sido empregadas com intuito de automatizar esta tarefa, através do uso de câmeras estereoscópicas e sensores de infravermelho. Porém, tais sistemas são bastante onerosos. Como alterna...

Several smart city systems have focused on addressing a specific mobility problem scenario (e.g., air pollution, traffic jam) in a given city. The task of adding, extending, or porting the smart city scenario to other cities can be very challenging due to the rigid structure of such existing systems. To address this issue, in this paper we investig...

Diversas iniciativas de Sistemas Inteligentes de Transporte têm empregado métodos computacionais para analisar e compreender a movimentação dos passageiros, a matriz de origem-destino, no sistema de transporte público urbano. Tais métodos, usualmente, realizam esta análise através do processamento de dados históricos de bilhetes eletrônicos dos pas...

The majority of fatal car crashes are caused by reckless driving. With the sophistication of vehicle instrumentation, reckless maneuvers, such as abrupt turns, acceleration, and deceleration, can now be accurately detected by analyzing data related to the driver-vehicle interactions. Such analysis usually requires very specific in-vehicle hardware...

On-line spatial clustering of large position streams are useful for several applications, such as monitoring urban traffic and massive events. To rapidly and timely detect in real-time these spatial clusters, algorithms explored grid-based approaches, which segments the spatial domain into discrete cells. The primary benefit of this approach is tha...

Swarms of Unmanned Aerial Vehicles (UAV) can be useful to several applications, such as urban surveillance and monitoring of mass events. To build and maintain a swarm formation, the UAVs need to compute, communicate, and coordinate their actions. However, it is complex to design and integrate computing and communicating chips into the UAV control...

Clusters of mobile elements, such as vehicles and humans, are a common mobility pattern of interest for many applications. The on-line detection of them from large position streams of mobile entities is a challenging task because it requires algorithms that are capable of continuously and efficiently processing the high volume of position updates i...

The current ubiquity of smart phones with mobile Internet and several short-range wireless interfaces (NFC, Bluetooth, Bluetooth Smart) and the fact that these devices are carried almost anytime and anywhere by users, enables potentially new pervasive sensing applications where smart phones can act as universal hubs for interaction with sensors (or...

The hardware of wireless sensor network devices has evolved grea-tly over the last decade. However, the programming models of applications on sensors have not followed this trend, especially in the area of communication between devices, resulting in applications with low level of abstraction. It is presented in this article spotSHOUT, a distributed...

Applications such as fleet and mobile task force management, or traffic control can largely benefit from the on-line detection of collective mobility patterns of vehicles, goods or persons. A common mobility pattern is a cluster, a concentration of mobile nodes in a certain region, e.g., a mass pro-test, a rock concert, or a traffic jam. Current ap...

The concentration (cluster) of mobile entities in a certain region, e.g., a mass street protest, a rock concert, or a traffic jam, is an information that can benefit several distributed applications. Nevertheless, cluster detection in on-line scenarios is a challenging task, primary because it requires efficient and complex algorithms to handle the...

Applications such as fleet management, mobile task force coordination, logis- tics or traffic control can largely benefit from the on-line detection of collective mobility patterns of vehicles, goods or persons. However, collective mobility pattern analysis is exponential by nature, requires the high-throughput processing of large volumes of mobile...

Current sharing-based applications combine new computing devices with smart spaces to provide content-level ubiquity, i.e., the possibility to exchange and move content freely in a ubiquitous environment. However, due to the environment complexity and lack of infrastructure platforms, most of the work in the area is repeatedly built from scratch us...

Applications such as transportation management and logistics, emergency response, environmental monitoring or mobile workforce management, employ mobile networks as means of enabling communication and coordination among a possibly very large set of mobile nodes. The majority of those systems thus may require real-time tracking of the nodes, interac...

Collaborative applications are being used in the integration of new computing devices into the classroom. However, their implementation expo-ses the programmer to system level issues, such as communication and concur-rency. Due to the complexity of these problems, most academic work in the area, deals entirely with their construction. Aiming to pro...