In many countries, water quality monitoring is limited due to the high cost of logistics and professional equipment such as multiparametric probes. However, low-cost sensors integrated with the Internet of Things can enable real-time environmental monitoring networks, providing valuable water quality information to the public. To facilitate the widespread adoption of these sensors, it is crucial to identify which sensors can accurately measure key water quality parameters, their manufacturers, and their reliability in different environments. Although there is an increasing body of work utilizing low-cost water quality sensors, many questions remain unanswered. To address this issue, a systematic literature review was conducted to determine which low-cost sensors are being used for remote water quality monitoring. The results show that there are three primary vendors for the sensors used in the selected papers. Most sensors range in price from US$6.9 to US$169.00 but can cost up to US$500.00. While many papers suggest that low-cost sensors are suitable for water quality monitoring, few compare low-cost sensors to reference devices. Therefore, further research is necessary to determine the reliability and accuracy of low-cost sensors compared to professional devices.

The Internet of Things (IoT) end devices have major limitations related to hardware and energy autonomy. Generally, the highest energy consumption is related to communication, which accounts for up to 60% of consumption depending on the application. Among the strategies to optimize the energy consumed by communication, data compression methods are one of the most promising. However, most data compression algorithms are designed for personal computers and need to be adapted to the IoT context. This study aims to adapt classical algorithms, such as LZ77, LZ78, LZW, Huffman, and Arithmetic coding, and to analyse their performance and energy metrics in IoT end devices. The evaluation is performed in a device with an ESP32 processor and LoRa modulation. The study makes use of real datasets derived from two IoT applications. The results show compression rates close to 70%, a three-fold increase in the number of messages sent, and a reduction in energy consumption of 22%. An analytical model was also developed to estimate the gain in the battery life of the device using the adapted algorithms.

O processo de avaliação de cursos de graduação adotado pelo Ministério da Educação é o Exame Nacional de Desempenho dos Estudantes (Enade). O Exame Nacional para Ingresso na Pós-Graduação em Computação (POSCOMP), organizado pela Sociedade Brasileira de Computação (SBC), tem como objetivo possibilitar a participação em processos seletivos de cursos de mestrado e doutorado, sem a necessidade de deslocamento. Este projeto tem como objetivo analisar as questões das provas do Enade (anos de 2008, 2011, 2014 e 2017) e POSCOMP (anos de 2014, 2015, 2016, 2017 e 2018), visando determinar quais matérias são exigidas nas questões. Este projeto foi desenvolvido visando atingir um dos objetivos do Programa de Educação Tutorial, contribuindo para a elevação da qualidade da formação acadêmica dos alunos de graduação. É importante ressaltar que o trabalho proposto não tem como objetivo tentar moldar o Bacharelado em Ciência da Computação no qual o grupo PET atua ou mesmo as disciplinas para preparar os alunos para esses exames, mas tem caráter informativo e serve como ferramenta de auxílio para a coordenação do curso.

Arduino is a hardware and software platform known for its ease of use and accessibility, and can be operated by people with different levels of technical knowledge. With such a powerful tool, the goal of this research was to develop interactive and engaging materials that combine Arduino and individually addressable LED strips to attract people to computer science course in exhibitions and showcases by demonstrating the capabilities and accessibility of the technology. This paper presents two demos created with addressable LED. The first is an LED race based on the Open LED Race project, and the second is a Connect-4 game using an LED matrix.

A smart city software platform is an integrated environment that helps developers design, implement, deploy, and manage smart city applications. Sentilo is the platform selected to manage smart city solutions in a medium-sized city (Toledo, PR, Brazil) through a partnership between the local university and city administration. This paper aims to evaluate Sentilo’s scalability under different workloads and hardware configurations for both data receiving and provisioning. Results show that Sentilo offers sufficient performance to support the planned and new applications in the city.

This paper presents the VIPRO-MP (Virtual Prototype for Multiprocessor Architectures), an environment for virtual prototype development and simulation. The VIPRO-MP is constructed in SystemC, easing the specification of multiple processors prototypes and the inclusion of hardware IP components. The processors are based on the SimpleScalar superscalar processor simulator, providing the configuration of each core in terms of caches, branch predictor and internal processor features. This flexibility enables the VIPRO-MP to be used in the evaluation and tunning of embedded platforms where an optimized design in terms of performance and power consumption is needed. A JPEG encoding algorithm was used as case study to evaluate different platforms in terms of processors number and cache size, providing a fast performance and power consumption estimation.