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This paper addresses the prediction of conformal array far field performance with improved precision. The approach is based on the development of high accuracy radiating element models. Focusing on conformal open waveguide arrays, new high accuracy open waveguide models have been developed utilizing excellent fidelity measured data. These models are then employed to quite accurately predict overall...
Performing digital forensics in cloud can add a new dimension to the process of building trust in cloud. But the very characteristics of cloud such as lack of transparency, virtualization, legal issues etc., pose challenges to cloud forensics. Whether it is traditional digital forensics or cloud forensics, collecting comprehensive data for analysis is a major challenge in investigation. Data collection...
Software reliability assessment has been a vital factor to characterize the quality of any software product quantitatively during testing phase. Over the years many analytical models have been proposed for modeling software reliability growth trends with different predictive capabilities at different phases of testing. Yet we need to develop such single model that can be applied for accurate prediction...
Position and force control are two critical aspects of prosthetic control. Surface electromyographic (sEMG) signals can be used for skeletal muscle force estimation. In this paper, skeletal muscle is considered as a system and System Identification (SI) is used to model sEMG and skeletal muscle force. The recorded sEMG signal is filtered utilizing optimized nonlinear Half-Gaussian Bayesian filter,...
Now a day's Design, Analysis and Manufacturing industry is changing from capital, technology intensive production to knowledge intensive production. So, developing a semantic web based computer aided knowledge management is necessary for realizing knowledge intensive engineering industry. This paper analyzes data knowledge requirements for semantic design, analysis, and manufacturing knowledge management...
As data sizes continue to increase, the concept of active storage is well fitted for many data analysis kernels. Nevertheless, while this concept has been investigated and deployed in a number of forms, enabling it from the parallel I/O software stack has been largely unexplored. In this paper, we propose and evaluate an active storage system that allows data analysis, mining, and statistical operations...
Copulas are functions that join or couple multivariate distribution functions to their one dimensional marginal distribution functions. Alternatively, copulas are multivariate distribution functions whose one-dimensional margins are uniform on the interval (0,1). The appeal of copula function lies in the fact that it eliminates the implied reliance on the multivariate normal or the assumption that...
Land use and land cover changes (LULCC) significantly modify the hydrological flow regime of the watersheds, affecting water resources and environment from regional to global scale. In recent years, with an increased number of launched satellites, regular updates of land-cover databases are available. This study seeks to advance and integrate water and energy cycle observation, scientific understanding,...
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