Geographical information system (GIS) has emerged as an efficient tool in delineation of drainage pattern and ground water potential and its planning. GIS and image processing techniques can be employed for the identification of morphological features and analyzing properties of basin. The morphometric parameters of basin can address linear, areal and relief aspects. The present study deals mai...

Nomenclature a w speed of sound at wall (m/s) D diameter (m) H AW adiabatic enthalpy (J/kg) H w wall enthalpy (J/kg) H 0 total enthalpy (J/kg) h heat transfer coefficient (kg/m 2 /sec), h FR Fay-Riddell heat transfer coefficient (kg/m 2 /sec) M ∞ free stream Mach number M e boundary layer edge Mach number p ∞ free stream pressure (N/m 2) q heat transfer rate (W/m 2) r radial position (m) R base...

The X-ray binary system 4U 1907+09 contains an accretion-powered X-ray pulsar in an eccentric orbit around a massive early-type companion star. It has been previously suggested that a trailing gas stream along with strong stellar winds could describe the orbital variations in X-ray flux. In this work, 12 yr of X-ray observations from the Rossi X-ray Timing Explorer/ All-Sky Monitor are analysed...

Dibutyl phthalate aerosol particles evolution dynamics in a turbulent mixing layer is simulated by means of direct numerical simulation for the flow field and the direct quadrature method of moments for the aerosol evolution. Most particles are nucleated in a thin layer region corresponding to a specific narrow temperature range near the cool stream side. However, particles undergo high growth ...

We present detailed simulations of the interaction of a stream emanating from a masslosing secondary with the core of a massive supergiant in the slow merger of the two stars inside a common envelope. The dynamics of the stream can be divided into a ballistic phase, starting at the L1 point, and a hydrodynamical phase where the stream interacts strongly with the core. Considering the merger of ...

Clustering is an important task in mining evolving data streams. Beside the limited memory and one-pass constraints, the nature of evolving data streams implies the following requirements for stream clustering: no assumption on the number of clusters, discovery of clusters with arbitrary shape and ability to handle outliers. While a lot of clustering algorithms for data streams have been propos...