Graph pattern matching(GPM) is an important operation on graph computation. Most existing work assumes that query graph or data graph is static, which is contrary to the fact that graphs in real life are intrinsically dynamic. Therefore, in this paper, we propose a new problem of Time-Constrained Graph Pattern Matching(TCGPM) in a large temporal graph. Different from traditional work, our work ...

Radars at different frequencies have been used over five decades for observing precipitation. S and C bands have been employed for long range coverage observations. Dual-polarization X-band radars have been shown to be useful for networked applications. Space borne precipitation radars have been at Ku band, or higher frequencies such as Ka, as in the GPM mission. This paper presents a comprehen...

In airborne and spaceborne radar remote sensing of clouds and precipitation, measurements of the sea surface normalized radar cross section σ are widely used to constrain and condition algorithms for the retrieval of atmospheric parameters. In the Tropical Rainfall Measuring Mission, the Path Integrated Attenuation (PIA) of the Ku-band Preciptitation Radar (PR) are estimated by comparing the su...

This study was conducted with the aim of knowing effect Gross Profit Margin (GPM) and Operating (OPM) partially or simultaneously on Stock Prices in Pulp Paper Sub-Sector Manufacturing Companies listed Indonesia Exchange for 2015-2018 period. The research method used is descriptive verification data analysis using Multiple Linear Regression analysis. technique to determine sample this purposive...

Gaussian process modeling (also known as kriging) is an empirical modeling approach that has been widely applied in engineering for the approximation of deterministic functions, due to its flexibility and ability to interpolate observed data. Despite its statistical properties, Gaussian process models (GPM) have not been employed to describe the dynamics of stochastic systems with multiple outp...

The Topographical Survey Division of the Surveys and Mapping Branch, Energy, Mines and Resources, Canada, employs dense digital elevation model (DEM) data for the production of hypsographic overlays for conventional and orthophoto maps. The Gestalt Photomapper (GPM II/3), installed as a production system since summer of 1977, uses computer controlled electronic scanning and image correlation te...

The optical alignment of the star trackers on the Global Precipitation Measurement (GPM) core spacecraft at NAS A Goddard Space Flight Center (GSFC) was challenging due to the layout and structural design of the GPM Lower B us Structure (LBS) in which the star trackers are mounted as well as the presence of the star tracker shades that blocke d line-of-sight to the primary star tracker optical ...

Protein identification by mass spectrometry is widely used in biological research. Here, we describe how the global proteome machine (GPM) can be used for protein identification and for validation of the results. We cover identification by searching protein sequence collections and spectral libraries as well as validation of the results using expectation values, rho-diagrams, and spectrum datab...

Purpose The present study aims to construct ensemble machine learning (EML) algorithms for groundwater potentiality mapping (GPM) in the Teesta River basin of Bangladesh, including random forest (RF) and subspace (RSS). Design/methodology/approach RF RSS models have been implemented integrating 14 selected condition parametres with inventories generating GPMs. GPM were then validated using empi...

Studies that investigate and evaluate the quality, limitations and uncertainties of satellite rainfall estimates are fundamental to assure the correct and successful use of these products in applications, such as climate studies, hydrological modeling and natural hazard monitoring. Over regions of the globe that lack in situ observations, such studies are only possible through intensive field m...