Влияние горнодобывающей промышленности на регионы России

В данной статье рассмотрено влияние горнодобывающей промышленности на экологическую ситуацию регионов России, к ним относится: Кузнецкий, Иркутский, КанскоАчинский, Южно-Якутский и Донецкий каменноугольные бассейны. Проанализированы последствия горной добычи. Выявлены методы борьбы с загрязнением окружающей среды. Установлено, что существующих методов недостаточно, важен человеческий фактор. This article discusses the impact of the mining industry on the environmental situation ofthe regions of Russia, these include: Kuznetsk, Irkutsk, Kansk-Achinsk, South Yakutia and Donetsk coal basin.Analyzed the effects of mining. Identified methods of dealing with environmental pollution. It was foundthat existing methods is not enough, the human factor is important

Capturing variability in Model Based Systems Engineering

International audienceAutomotive model-based systems engineering needs to be dapted to the industry specific needs, in particular by implementing appropriate means of representing and operating with variability. We rely on existing modeling techniques as an opportunity to provide a description of variability adapted to a systems en- gineering model. However, we also need to take into account requirements related to backwards compatibility with current practices, given the industry experience in mass customization. We propose to adopt the product line paradigm in model-based systems engineering by extending the orthogonal variability model, and adapting it to our specific needs. This brings us to an expression closer to a description of constraints, related to both orthogonal variability, and to SysML system models. We introduce our approach through a discussion on the different aspects that need to be covered for expressing variability in systems engineering. We explore these aspects by observing an automotive case study, and relate them to a list of contextual requirements for variability management