Energy-Saving and Environmental Protection Innovative Solutions in Engineering Systems of Buildings and Structures

Колоссальное расходование энергии приводит к лишним затратам и изменению природно-климатического состояния окружающей среды. Цель: уменьшить энергозатраты и снизить негативное влияние на окружающую среду посредствам увеличения использования возобновляемых источников энергии можно с помощью солнца, ветра и биомасс. Результаты: использование энергоактивных систем для зданий позволяет снизить энергетическое потребления объекта на 25-35%. Исключение опасных выбросов и разрушения экосистемы. Применение энергоактивных зданий является наиболее перспективным направлением развития энергетической сферы. Однако для полного перехода требуются развитие совершенных инженерных решений и поэтапной модернизации уже имеющихся систем.Colossal energy consumption leads to unnecessary costs and changes in the natural and climatic state of the environment. The goal: to reduce energy consumption and reduce the negative impact on the environment by increasing the use of renewable energy sources with the help of the sun, wind and biomass. Results: the use of energy-efficient systems for buildings reduces the energy consumption of the facility by 25-35%. Exclusion of dangerous emissions and destruction of the ecosystem. Conclusion: The use of energy-active buildings is the most promising direction for the development of the energy sector. However, a complete transition requires the development of advanced engineering solutions and the gradual modernization of existing systems

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)

The implicit objective of the biennial "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) is to foster collaboration between international scientific teams by disseminating ideas through both specific oral/poster presentations and free discussions. For its second edition, the iTWIST workshop took place in the medieval and picturesque town of Namur in Belgium, from Wednesday August 27th till Friday August 29th, 2014. The workshop was conveniently located in "The Arsenal" building within walking distance of both hotels and town center. iTWIST'14 has gathered about 70 international participants and has featured 9 invited talks, 10 oral presentations, and 14 posters on the following themes, all related to the theory, application and generalization of the "sparsity paradigm": Sparsity-driven data sensing and processing; Union of low dimensional subspaces; Beyond linear and convex inverse problem; Matrix/manifold/graph sensing/processing; Blind inverse problems and dictionary learning; Sparsity and computational neuroscience; Information theory, geometry and randomness; Complexity/accuracy tradeoffs in numerical methods; Sparsity? What's next?; Sparse machine learning and inference.Comment: 69 pages, 24 extended abstracts, iTWIST'14 website: http://sites.google.com/site/itwist1

Project management of regional human resources policy

The article analyzes the principles of project management of regional human resources policy within the framework of the development and implementation of long-term and medium-term planning horizons’ instruments. In terms of the analysis of the implementation of accepted procedural and institutional documents regarding human resources policy it is justified expediency of the implementation of the practice of the major human resources policy events’ development in the form of a single linearlogical algorithm - «Strategy - Programs -Projects»

Stress concentration minimization of 2D filets using X-FEM and level set description

This paper presents and applies a novel shape optimization approach based on the level set description of the geometry and the extended finite element method (X-FEM). The method benefits from the fixed mesh work using X-FEM and from the curves smoothness of the level set description. Design variables are shape parameters of basic geometric features that are described with a level set representation. The number of design variables of this formulation remains small, whereas global (i.e. compliance) and local constraints (i.e. stresses) can be considered. To illustrate the capability of the method to handle stress constraints, numerical applications revisit the minimization of stress concentration in a 2D filet in tension, which has been previously studied in Pedersen (2003). Our results illustrate the great interest of using X-FEM and level set description together. A special attention is also paid to stress computation and accuracy with the X-FEM