Portugues

Editorial

Enio Tadashi Nose — Tue, 12 Aug 2025 00:00:00 -0300

Adaptive traffic light control system with real-time data collection of urban traffic

Elzabeth Moreira da Silva — Mon, 30 Jun 2025 00:00:00 -0300

This paper presents an approach for collecting and processing real-time urban traffic data, with the aim of dynamically adjusting traffic light timings based on current traffic conditions. The proposed methodology uses the OpenCV library in a Python environment to capture traffic images, which are processed by a YOLO (You Only Look Once) neural network to extract information, such as the types and number of vehicles passing on the roads. Next, an algorithm was developed to dynamically adjust traffic light times according to real-time traffic conditions. The effectiveness of the system was evaluated through a simulator containing a four-way intersection and through simulations that compared a dynamic traffic light system with a static system. Simulation results demonstrated that the dynamic system reduced the average vehicle waiting time at intersections and increased the number of vehicles crossing the intersection per unit time, highlighting the importance of real-time data science in creating control systems intelligent traffic systems, capable of meeting the demands of a modern and efficient urban infrastructure.

Impact of the General Data Protection Law (LGPD) on Information Security

Rodrigo Estrela — Mon, 30 Jun 2025 00:00:00 -0300

The General Data Protection Law (LGPD) establishes a crucial regulatory framework for personal data protection in Brazil, particularly significant for the healthcare sector, where information security is vital. This article examines how the LGPD is shaping data security practices in healthcare institutions, highlighting the importance of clear security policies, encryption and anonymization, continuous training, and Privacy Impact Assessments (PIA). Adopting these practices not only ensures legal compliance but also strengthens protection against data breach risks, fostering an organizational culture committed to privacy and security. Therefore, compliance with the LGPD is a fundamental strategy to ensure integrity and trust in personal data processing operations.

The dangers of the rapid evolution of Artificial Intelligence and its impact on society

Mon, 30 Jun 2025 00:00:00 -0300

The rapid advance of Artificial Intelligence (AI) technologies has raised concerns and perspectives among experts, especially with regard to the impacts on society, promoting economic and social changes, which provide significant and relevant changes. The growing investment and evolution of AI promotes the need to understand the possible impacts of its rapid evolution, considering the basis of experts, and what measures should be implemented to mitigate the risks, generating a safe and ethical use of AI. The objective was to detect the main predicted social impacts by carrying out an in-depth analysis of these dangers that accompany the rapid evolution of Artificial Intelligence, examining how these threats impact society. Experts highlight a number of concerns, including the autonomy of AI, its impact on democracy, ethical issues related to algorithmic biases and the urgent need for regulation. Perspectives vary, but many experts emphasize the importance of addressing these challenges collaboratively and globally. This study highlights the complexity of the challenges that the rapid evolution of artificial intelligences presents to society. Understanding these concerns and perspectives is crucial to guiding future policies, regulations and developments, ensuring that AI benefits humanity in an ethical and responsible manner, especially backed by regulatory and social responsibilities regarding AI's impact on society.

People management:

Mon, 30 Jun 2025 00:00:00 -0300

As a competitive advantage, new technologies are increasingly impacting most businesses and are being progressively applied in several areas, including Human Resource Management (HRM). Virtual Reality (VR) and Augmented Reality (AR) are innovative technologies with guaranteed potential in various fields, such as entertainment, health, education and industry. They emerge as emerging tools with numerous applicability to different sectors of activity due to their ability to simulate real environments, involving and interactivity, being promising tools to support HRM processes. The objective of this article is to analyze how companies use VR and AR technologies to improve their organizational processes, especially in the area of people management, based on an understanding of the characteristics of the organizations involved. Methodologically, this study was carried out based on bibliographical and documentary research. As for the investigation methods, the qualitative, exploratory study and the multiple case study method were used, through interviews with managers. The work brings understanding about the evolution of applied technology in the organizational environment, its impact on the organizational strategy and how it connects with the competence development process. The main contribution of the study was to show that VR and AR tools have been used in the organizational scope, showing themselves as a rejected resource, capable of keeping up with technological innovations and organizational competitiveness, in addition to exploring the need to think about ways to apply such innovations in People Management processes.

Forecast of Compliance with the Fiscal Responsibility Law of the Municipalities of Mato Grosso:

Micaelly Cristine de Moura Santos — Mon, 30 Jun 2025 00:00:00 -0300

Abstract: This article investigates the application of the Random Forest technique to forecast compliance with the Fiscal Responsibility Law (LRF) in municipalities in Mato Grosso. The research evaluates the importance of financial and fiscal variables in the forecast and compares the performance of the Random Forest model with other machine learning methods. The study discusses the implications of the results for public management and fiscal compliance.