Our Work

A pesquisa analisou os impactos da adoção do teletrabalho sobre a produtividade da área técnica do Tribunal de Contas do Estado de Minas Gerais (TCEMG) no contexto da pande…

A pesquisa analisou os impactos da adoção do teletrabalho sobre a produtividade da área técnica do Tribunal de Contas do Estado de Minas Gerais (TCEMG) no contexto da pandemia de Covid-19. O estudo constatou que a modalidade trouxe ganhos perceptíveis e quantificáveis para a instituição, mas também revelou desafios de gestão e infraestrutura que demandam aprimoramento.  

The Internet of Things applications have developed fast, leading to the need to implement lightweight encryption schemes that can balance security with resources efficiency in resource-constrained env…

The Internet of Things applications have developed fast, leading to the need to implement lightweight encryption schemes that can balance security with resources efficiency in resource-constrained environments. This paper suggests a lightweight ARX-based block cipher that combines dynamically generated substitution boxes based on a six-dimensional chaotic system with an adjusted key expansion algorithm based on AES. The plaintext is separated into two parallel streams, and the work of each round consists of key addition, nonlinear substitution by a dynamic S-Box, and ARX transformation in a symmetric Feistel-like network. The suggested key scheduling mechanism minimizes inter-key correlation and increases sensitivity to small key variations. The security evaluation methods used are entropy, Hamming distance, correlation analysis, NIST randomness tests, SAC and BIC tests. Experiments indicate that the proposed framework is highly diffusive, random, and efficient in encryption and decryption, thereby making it appropriate in protecting confidential database in a constricted environment.

This data is used to reproduce the results of Rice leaf pathogen infection alters the spectral–biochemical relationships revealed by radiative transfer model inversion This folder contains MESMA…

This data is used to reproduce the results of Rice leaf pathogen infection alters the spectral–biochemical relationships revealed by radiative transfer model inversion This folder contains MESMA analysis output images derived from hyperspectral images collected for varieties VD, VE, and VF. Each image, stored as a `.raw` file with an accompanying `.hdr` file, consists of seven bands, including the fractional abundance of different endmembers (healthy and infected) and model uncertainty parameters. Each image is also accompanied by two `.csv` files containing the model parameters. This folder also contains the spectral library (821_VD_7) we selected for unmixing. For the MESPECT algorithm introduced in this paper, users are recommended to align the MESMA results with the corresponding HSI images, select pixels with F_infected values greater than 0, and record the endmember combinations used in the unmixing analysis. Then, PROCWT should be performed on each healthy endmember in the spectral library to extract biochemical parameters. For each pixel in an image, its biochemical parameters can then be derived by multiplying F_healthy by BIO_healthy, where BIO_healthy represents the biochemical parameters of the corresponding healthy endmember.

El estudio de las migraciones muestra la participación destacada de las mujeres en los movimientos migratorios, a pesar de ser una experiencia caracterizada por dificultades de integraci&oacute…

El estudio de las migraciones muestra la participación destacada de las mujeres en los movimientos migratorios, a pesar de ser una experiencia caracterizada por dificultades de integración y altos niveles de violencia. El artículo presenta resultados de una investigación orientada a analizar las condiciones de la migración femenina en México y Colombia mediante una revisión sistemática de literatura publicada entre 2019 y 2024. La búsqueda se realizó en Scopus, SciELO, Redalyc, Google Académico e informes de organismos internacionales (Organización Internacional para las Migraciones, Agencia de la ONU para los Refugiados, Comisión Económica para América Latina y el Caribe). Tras aplicar criterios de inclusión y exclusión de 320 registros iniciales, se seleccionaron 50 estudios (25 por país). Los resultados evidencian que en México predomina la falta de rutas seguras, la exposición a violencia sexual y de género durante el tránsito, y la inserción laboral precaria en sectores domésticos y agrícolas. Por su parte, en Colombia está presente la xenofobia, exclusión en los ámbitos laboral, educativo y de salud; además, de saturación institucional y lentitud en trámites de refugio. Se concluye que la migración femenina requiere políticas integrales e interseccionales sensibles al género.

A pesquisa analisou a construção da identidade profissional dos trabalhadores terceirizados sob a ótica da burocracia que rege os contratos de terceirização de m&ati…

A pesquisa analisou a construção da identidade profissional dos trabalhadores terceirizados sob a ótica da burocracia que rege os contratos de terceirização de mão de obra na Universidade Federal de Viçosa – Campus Florestal (UFV/CAF).

Humanoid police robots are emerging as Physical AI platforms because they can operate in human-centered infrastructure such as stairs, doors, corridors, vehicles, and control panels. This study is imp…

Humanoid police robots are emerging as Physical AI platforms because they can operate in human-centered infrastructure such as stairs, doors, corridors, vehicles, and control panels. This study is important because police robots do not merely perform technical tasks; they may mediate state authority, personal data processing, scene preservation, and possible restrictions on bodily liberty. The goal of this paper is to design a digital twin-based training and governance framework for humanoid police robots in patrol and arrest-support operations in South Korea. The central hypothesis is that patrol functions can be trained toward relatively high autonomy only if the digital twin encodes legal permission states, privacy requirements, evidence preservation, and human-command boundaries together with locomotion and perception; conversely, arrest judgment, bodily restraint, and hazardous device activation should not be automated under the current Korean legal framework. The study uses an interdisciplinary design-science method combining a review of digital twin and humanoid learning research, doctrinal analysis of Korean constitutional, criminal procedure, police, privacy, AI, and compensation law, and synthesis of a deployment-oriented architecture. The main findings are a five-layer digital twin, an autonomy-permission matrix, a benchmark-and-phase-gate validation matrix, and a human-in-command operating procedure. Practically, the framework helps police agencies, vendors, and regulators convert broad safety and legality requirements into testable design controls before public pilots. The paper concludes that the most defensible near-term model is not an autonomous arrest robot but a digitally trained police-support humanoid with law-in-the-loop constraints, privacy-by-design controls, and audit-ready evidence logs.

La presente investigación analiza la correlación de la globalización en las prácticas empresariales del sector de servicios en ciudades intermedias Perú (Cusco), M&e…

La presente investigación analiza la correlación de la globalización en las prácticas empresariales del sector de servicios en ciudades intermedias Perú (Cusco), México (Tlaxcala) y Colombia (Popayán), mediante una metodología cuantitativa de alcance exploratorio-descriptivo a través de encuestas semiestructuradas como principal instrumento de medición dirigida a una población de 169 empresas colombianas, mexicanas y peruanas. Se emplea un análisis estadístico descriptivo con el fin de observar la distribución y verificar la correlación inicial entre variables clave. Se estimó un Modelo de Alternativas Múltiples Probit Ordenado, empleando como variable dependiente las categorías de cambio en el modelo de negocio de la empresa, usando el software estadístico R, calculando los coeficientes de regresión, permitiendo identificar el impacto de la globalización en la transformación empresarial y cultural. Para validar el modelo, se aplicó la prueba de Brant, que evalúa el cumplimiento del supuesto de regresiones paralelas. Los resultados evidencian que la globalización ejerce una influencia significativa sobre las prácticas empresariales del sector servicios en las ciudades analizadas, especialmente mediante los procesos de digitalización e internacionalización. Se concluye que las Tecnologías de la Información y las Comunicaciones son el factor más consistentemente asociado a una mayor transformación empresarial.

Aerial Robotic exploration and navigation play an important role in finding a safe and optimum route from goal position to destination point. In this paper, an Optimized State Action Reward State Acti…

Aerial Robotic exploration and navigation play an important role in finding a safe and optimum route from goal position to destination point. In this paper, an Optimized State Action Reward State Action (SARSA) reinforcement learning algorithm is proposed for autonomous navigation of UAVs in complex 3D obstacle environments. A comparative study is carried out between existing traditional SARSA algorithm and proposed optimized SARSA on real-time aerial robotic application use traditional SARSA algorithm. The traditional algorithm exhibits limitations in its performance in terms of convergence rate, exploration-exploitation balance and computational complexity, whereas the proposed algorithm includes parameters such as adaptive learning rate, decaying epsilon-greedy policy and reward shaping which leads to improvement in learning efficiency and navigation performance. To evaluate autonomous drone navigation, a 3D grid-based simulation with spatial boundaries and dynamic obstacles has been developed. The environment is designed to test flight performance in indoor spaces, search and rescue situations and rough terrains. In this study, a traditional SARSA agent with fixed hyper parameters is compared with a proposed Optimised SARSA agent with adaptive learning mechanisms. The results shows that the embedded optimisation technique greatly improve the reinforcement learning performance in aerial robotics with 55% improvement in efficiency, 52 times faster converge and 70% increase in stability. Future work will investigate model-based approaches and deep reinforcement learning to address real-world operational challenges.

A pesquisa analisou os resultados da implementação da política de ação afirmativa de reserva de vagas (Lei nº 12.711/2012) no desempenho acadêmico de estu…

A pesquisa analisou os resultados da implementação da política de ação afirmativa de reserva de vagas (Lei nº 12.711/2012) no desempenho acadêmico de estudantes cotistas e não cotistas da Universidade Federal de Viçosa – Campus Rio Paranaíba (UFV-CRP), considerando os ingressantes pelo SiSU entre 2016 e 2020. O estudo concluiu que a política de ações afirmativas é efetiva em proporcionar a inclusão e o acesso ao ensino superior para grupos em vulnerabilidade socioeconômica, étnico-racial e pessoas com deficiência, sem acarretar prejuízos à qualidade do ensino ou ao rendimento acadêmico geral da instituição.