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Abstract-Stratified rock cut slopes for e.g. shale-sandstonesiltstone layers are a common occurrence in some part of the Himalayas. These rocks are highly jointed and bears low strength to sustain significant engineering load. A similar geological condition exists in the north eastern Himalayas (Aizawl, Mizoram) where such rocks have been exposed along cut slopes. The area receives heavy rainfall during the monsoonal months and the presence of clay make these rocks highly susceptible to intense weathering. Further, the presence of widely spaced orthogonal joints along with persistent bedding parallel joints allow water to percolate deeper into the formation. Accumulation of water with time in the pore spaces of rocks and in the interface between the strata leads to opening of the joints and considerable reduction of shear strength. Despite of incompetency of these rocks, large number of transportation lines and settlements are being built to meet the demand of increasing population in India. Unscientific design and inadequate use of geological and geotechnical information during construction allow these rocks to deteriorate and degrade in strength before the engineering life of the structure eventually leading to slope failure and mass destruction. Therefore, the present study mainly deals with the influence of long term weathering on the strength degradation of the exposed rocks by a series of experimental observations followed by numerical simulation of cut slope using distinct element method. The purpose is to gauge into the health of the slope and the processes which leads to slope failure under normal gravity and hydro-mechanical loading conditions. The result of this analysis is very promising which discusses several important issues like effective loading direction, maximum allowed load on the crest of the slope, zones of maximum displacement and maximum flow rate observed along the slope face, mode and depth of failure plane. Understanding these challenges will assist the planners to design appropriate support systems for long term safety and sustainability of the structures and avoid future slope failure.

<span>On the internet where the number of database developers is increasing with the availability of huge data to be stored and queried. Establishing relations between various schemas and helping the developers by filtering, prioritizing, and suggesting relevant schema is a requirement. Recommendation system plays an important role in searching through a large volume of dynamically generated schemas to provide database developers with personalized schemas and services. Although many methods are already available to solve problems using machine learning, they require more time and data to learn. These problems can be solved using knowledge graphs (KG). This paper investigates building knowledge graphs to recommend schemas. </span>

A large number of studies on the field of scattering caused by the heterogeneities in the earth are reported in literature. The study presented aims at determining the seismic wave attenuation factors namely, scattering attenuation and intrinsic absorption.Determination of the two factors require estimation of two parameters namely, seismic albedo and extinction length. The method of multiple lapse time window analysis is employed to estimate the two factors. Here, multiple finite lapse time windows of 0-15, 15-30 and 30-45 seconds are used for analysis. The mean square amplitudes of band pass filtered seismogram ( 1-2, 2-4, 4-8 Hz) data is averaged over the time windows to estimate the seismic energy. This energy is corrected for local site amplification and source effects. Coda normalization is employed for this purpose. The energy obtained is further corrected for geometrical spreading. Finally, the normalized energy is plotted with respect to the hypocentral distance. The synthetic energy distribution is obtained from Monte Carlo simulation.

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