In recent years, discrete control systems play an important role in the development and advancement of modern civilization and technology. Practically every aspect of our life is affected by some type of control systems. This kind of system maybe classified as an embedded real-time system and requires rigorous methodologies to develop the software that is under stringent hardware constraints. Therefore, the proposed development methodology adapts agile principles and patterns in order to build embedded control systems focusing on the issues related to the system's constraints and safety. Strong unit testing is the foundation of the proposed methodology for ensuring timeliness and correctness. Moreover, platform-based design approach is used to balance costs and time-to-market in view of performance and functionality constraints. We conclude that the proposed methodology reduces significantly the design time and cost as well as leads to better software modularity and reliability.
A beterraba (Beta vulgaris L.) é um alimento que tem se destacado por sua qualidade nutritiva, capacidade antioxidante e flexibilidade de uso pela indústria. As partes usualmente não consumidas da beterraba, como as folhas e talos, estão ganhando espaço na culinária nacional, reduzindo assim o desperdício de alimentos. Contudo, o seu uso pode estar associado à diferentes processos de desidratação podendo alterar seu valor nutricional e comprometer as propriedades funcionais. Assim, o objetivo desse trabalho foi analisar a composição centesimal, a composição das fibras alimentares solúveis e isolúveis, e dos compostos fenólicos de folhas e talos de beterraba submetidos a dois processos de desidratação, ou seja, em forno (180°/45 min.) e liofilizadas. A liofilização promoveu maior perda de água, contudo, ao expressar os resultados em base seca, a composição química e a concentração de fenólicos foi semelhante nas duas amostras.
Model-Driven Engineering (MDE) has been advocated as an effective way to deal with today's software complexity. MDE can be seen as an integrative approach combining existing techniques such as Domain-Specific Modeling Languages (DSML) and Transformation Engines. This paper presents the ezRealtime, an MDE-based tool that relies on the Time Petri Net (TPN) formalism and defines a DSML to provide an easy-to-use environment for specifying Embedded Hard Real-Time (EHRT) systems and for synthesizing timely and predictable scheduled C code. The ezRealtime adopts the universal XML-based transfer syntax for Petri nets, named as PNML. The main idea of this work is to propose a generative programming method and tool to boost code quality and improve developer productivity with automated software synthesis. The ezRealtime tool reads and automatically translates the specification to a time Petri net model through composition of building blocks with the purpose of providing a complete model of all tasks in the system. Therefore, this model is used to find a feasible schedule by applying a depth-first search algorithm. Finally, the scheduled code is generated by traversing the feasible schedule, and replacing transition's instances by the respective code segments. We also present the application of the proposed method in a case study.
In this paper, we introduce the ezRealtime project, which relies on the Time Petri Net (TPN) formalism and defines a Domain-Specific Modeling (DSM) tool to provide an easyto-use environment for specifying Embedded Hard Real-Time (EHRT) systems and for synthesizing timely and predictable scheduled C code. Therefore, this paper presents a generative programming method in order to boost code quality and improve substantially developer productivity by making use of automated software synthesis. The ezRealtime tool reads and automatically translates the system's specification to a time Petri net model through composition of building blocks with the purpose of providing a complete model of all tasks in the system. Hence, this model is used to find a feasible schedule by applying a depth-first search algorithm. Finally, the scheduled code is generated by traversing the feasible schedule, and replacing transition's instances by the respective code segments. We also present the application of the proposed method in an expressive case study.
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