Aplicações científicas na área de Clima Espacial precisam agregar dados capturados por instrumentos distribuídos geograficamente para produzir mapas, índices e alertas de eventos do sol. Nesse contexto, existe uma dificuldade em trazer e integrar esses dados para a execução de análises e a disponibilização de resultados em um intervalo de tempo que viabilize o monitoramento e a previsão de eventos. Isso impede a geração de informações em tempo real, necessárias para avaliar impactos em atividades tecnológicas e econômicas, como a comunicação de satélites e sistemas de navegação de aeronaves. O objetivo deste artigo é apresentar um modelo arquitetural denominado Alfrodul, utilizado em aplicações científicas na área de Clima Espacial, visando a integração e processamento dos dados em tempo hábil para sua análise por especialistas. Esse modelo foi utilizado na implementação de seis aplicações web para visualização de informações de Clima Espacial.
Software engineering is concerned with organizational issues, project management, and human behavior. In the process of constructing a work team, leadership faces the task of evaluating the talents and abilities of each professional and combining them into a cohesive unit that matches the profile of the project. This article describes the SOHCO technique, a strategy for forming work teams that calculates a score for each candidate based on the project profile, as well as a ranking for the work team whose desired objective most closely aligns with the project profile. This article presents exploratory research, an experiment, two real-world case studies, and a comparison of methods using WS and RW coefficients to assess ranking consistency and similarity. Results reveal that SOHCO makes constructing a work team more objective, reduces leadership effort, enhances the ability to evaluate new team arrangements, increases the probability of project success, and reduces training costs. As a limitation, the SOHCO method does not take sub-criteria weights into account.
This paper describes a study performed in the Brazilian governmental center, named Cemaden, responsible to monitor natural disasters and sending alerts to the vulnerable community involved. The target of our study is the complex architecture of Cemaden’s Observational Network. It comprises constituent systems (CS) provided by other partners organisms, which operation and maintenance are out of Cemaden con trolling. The correct functioning of those heterogeneous CSs represents a major challenge in this type of system. Thus the comprehension of dependability issues regarding the information flow in the integration of the CSs is essential. Our study compares the current integration architecture based on syntax rules with the use of an ontology-based integration. The advantages of the proposed architecture are discussed in a case study.
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