This work presents a shallow water ambient noise analysis and modeling effort in the Arabian Sea. Real ambient noise recording at very shallow depths has been analyzed for two environmentally unique periods when the sound velocity profile and the wind conditions present distinct characteristics. Ambient noise data were collected for January and March in the shallow water of Arabian Sea between ...

We describe a fast ab initio method for modeling local segments in protein structures. The algorithm is based on a divide and conquer approach and uses a database of precalculated look-up tables, which represent a large set of possible conformations for loop segments of variable length. The target loop is recursively decomposed until the resulting conformations are small enough to be compiled a...

The present paper contributes to the modeling of unsteady flow analysis of vertical axis wind turbine (VAWT). Double multiple stream tube (DSMT) model was applied for the performance prediction of straight bladed fixed pitch VAWT using NACA0018 airfoil at low wind speed. A moving mesh technique was used to investigate two-dimensional unsteady flow around the same VAWT model with NACA0018 airfoi...

in this work, several machine learning techniques are presented for nanofiltration modeling. according to the results, specific errors are defined. the rejection due to nanofiltration increases with pressure but decreases with increasing the concentration of chloride ion. methods of machine learning represent the rejection of nanofiltration as a function of concentration, ph, pressure and also ...

OBJECTIVES The goal of smart homes is to create an intelligent environment adapting the inhabitants need and assisting the person who needs special care and safety in their daily life. This can be reached by collecting the ADL (activities of daily living) data and further analysis within existing computing elements. In this research, a very recent algorithm named sequence prediction via enhance...

[1] Much progress has been made over the past several decades in delineating the structure of subducting slabs, but several key aspects of their dynamics remain poorly constrained. Major unsolved problems in subduction geodynamics include those related to mantle wedge viscosity and rheology, slab hydration and dehydration, mechanical coupling between slabs and the ambient mantle, the geometry o...

Trajectory prediction capabilities are an essential building block for most if not all Air Traffic Management Decision Support Tools (DSTs). DST applications range from en route to terminal operations with advisories ranging from passive flow suggestions to active clearance/instructions. Many past DSTs have been fielded with their own unique trajectory prediction capability. The objective of th...

The modeling of fire spread in a flammable area is an interesting and challenging issue, widely studied in literature. Some of the models used for fire front evolution prediction are based on Cellular Automata (CA) approach, and they have shown a good agreement with other models and with experimental data. In this paper, the authors propose a new approach to this kind of models, introducing an ...

Interactive multidimensional data analysis tools (mostly OLAP systems) are the predominant frontend tools for end users in data warehouse environments. Thus, the design of these systems is an important part of the data warehouse design itself. This paper contributes to the important design step by discussing the modeling of user query behavior and its benefits. We present a mathematical model a...

Intense global competition in the tourism industry forces destinations to develop strong, unique and competitive destination brands. This is not an easy task since the sector is extremely fragmented and many images are beyond their control. This working paper explores the concept of destination brand communities which provides a platform for facilitating connectivity, trust building and decisio...