Today, at the beginning of the 21st century, the standards of living conditions are defined by the current financial and economic situation. It has impacts on the smallest details of everyday life as well as on residential purchases and constructions also. These are the sectors that mainly felt the lack of funding in the recent years. Although the treatment of this problem should be a simple answer, ecological, economical and social factors generate a more difficult solution. A very important issue in today’s society concerns making the use of the un-preferred living spaces within an existing home. There are many types of these living spaces, including for example out-of-date country buildings that have lost their function, or a variety of apartments in the cities. It became clear that living in prefabricated (panel) buildings is the most undesirable for the population, so the biggest part of the research is about the theoretical rehabilitation of these buildings.
The society is changing faster and faster. The technical development times are constantly growing shorter, whereas the rate of development is increasing exponentially. Hence, the treatment of the environment is also changing. The society responds to these changes by becoming more and more flexible and adapts itself to new situations.
In contrast to this, the construction is static and the construction industry is conservative. The further development of construction methods and materials is also slow. For centuries, the same materials have been used.
The requirements to living space become more and more multiple. Dwellings are usually made for one use, one setting of requirements. The result is a growing vacancy of dwellings. The shown project, which is under realization at the moment is coming up with one possible solution for a dwelling to use it with multiple requirements.
of 2004 about the investments in the sewerage networks and wastewater treatment of the capital and major cities,
, (last visited: 29 May, 2010
Authors:Khalid Kahloot, Kristof Csorba, and Peter Ekler
The study of respiratory forms a major application and publication in the medical field. It characterizes the abnormalities in the breathing pattern, which assists in selecting the appropriate treatment methods. In some cases, respiratory characteristics unravel and point out potential diseases. A medical team gathered data from randomly selected recruits. A huge dataset was prepared, which capture the volume and velocity of the breathed air from the target recruits. This paper presents the results of carrying out some of the signal processing, dimension reduction, and data mining techniques over this dataset. In particular, convolution filter, singular value decomposition and density-based spatial clustering of applications with noise were applied. Inhaling behaviors have been categorized into nine groups but with stochastic noise. Some of the groups are big enough and distinguishable to evaluate with the use of eight types of inhalers the model for velocity versus volume of inhaling. Results will be considered by the medical team for choosing the appropriate inhaler out of five types of inhalers appropriate for each group.