, Martin A. P. , Orduna P. , Martin S. , Gil R. , Larrocha E. R. , Albert M. J. , Diaz G. , Meier R. , Castro M.
Virtual and remote industrial laboratory: Integration in learning management systems , IEEE Industrial Electronics Magazine
A very special artistic event can be held with the “virtual” sculpture exhibition. Cellular phones can be used in this project to show the public square as if a non-existing sculpture has been located on it. However, the idea of amplifying the environment with virtual objects is not a new concept, the limited performance of the used visualizing devices requires developing faster and more effective algorithms for this purpose. This paper discusses the arising problems during the development of this algorithm and gives proposals for solving them.
Authors:Varun Barthwal, M.M.S. Rauthan, and Rohan Varma
to achieve effective VM scheduling and placement. This paper reviews different areas of literature that deal with the Virtual Machines (VMs) placement onto physical machines (PMs). This survey aims to identify and classify research done in the area of
his colleagues give us a comprehensive summary [ 2 ] of the topic, mostly focusing on medical applications. The study of Sutherland et al. [ 3 ] provides insight into the latest Augmented Reality (AR) and Virtual Reality (VR) technologies to display
The object of the examination is a typical office building of the 1990s, owned by a multinational company -Siemens- dedicated to energy awareness. The building also meets the energy efficiency category ‘A’ under the 7/2006 TNM Hungarian regulations concerning the energy performance definition of buildings. However, demand has emerged to implement additional changes to reduce energy usage whilst keeping the current climate comfort or even improving it. International experience forecasts around 30% energy saving potential due to optimization of the building automation and energy management system, and thus the interaction and collaboration between the building geometry, structures and services systems. The project has been built in the IDA ICE complex building energy simulation program. Running a one-year dynamic simulation will provide data that can be compared with the measured data of the actual building, so the model can be adjusted and validated to real data. After the calibration it is now possible to test the ideas under safe conditions, in a virtual surrounding. Once a particular vision of the model is proven to work effectively, it is possible to apply this to the real building control management as well.