this paper employs a general non-linear analysis tool to analyse the nature of time series associated with the price (returns) of a particular company in tehran stock exchange. it is shown that the behavior of the process associated with the price (returns) time-series of this company is weakly chaotic, and due to the non-random behavior of the process, short term prediction of stock price is p...

despite the fact that national parks and other protected areas are mostly adopting the sustainable development process, it was found that sustainability has yet to be perceived pragmatically in these areas. due to its process, this paper presents a monitoring framework approach to develop and implement indicators for sustainable tourism. to illustrate the application of the framework, a set of ...

Greenhouse gas emissions are believed to be the main reason of climate change. Thus, it is essential to limit and reduce emissions of greenhouse gases in order to stabilize climate. Short-term policies such as the Kyoto Protocol stipulate emission limitation or reduction commitments. However, it is also, if not more, important to keep an eye on the long-term effects of these policies since it t...

State-of-the-art spoken term detection (STD) systems are built on top of large vocabulary speech recognition engines, which generate lattices that encode candidate occurrences of each invocabulary query. These lattices specifiy start and stop times of hypothesized term occurrences, providing a clear opportunity to return to the acoustics to incorporate novel confidence measures for verification...

Shot peening is a process where compressive residual stresses are generated at the surface of the processed part by impacting small hard particles to the surface in order to increase the fatigue resistance of the part. In this work, a general literature survey of shot peening process is presented. Survey is mainly focused on mechanics and numerical simulation of the process. Effects of various ...

The electrical deregulated market increases the need for short-term load forecast algorithms in order to assist electrical utilities in activities such as planning, operating and controlling electric energy systems. Methodologies based on regression methods have been widely used with satisfactory results. However, this type of approach has some shortcomings. This paper proposes a short-term loa...