We propose a novel approach and tool for collaborative software engineering and development. In model-based software engineering, the underlying data structure is a complex, direc...
Jonathan Michaux, Xavier Blanc, Marc Shapiro, Pier...
Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...
We present a readily portable, memory-efficient performance test system (PTS) for Tasers. The proposed PTS has been developped for the most widely used Conducted Energy Weapons (...
—Data encryption and decryption are common operations in a network based application programs with security. In order to keep pace with the input data rate in such applications, ...
In this paper, a new sparse approximation technique is proposed for incremental power grid analysis. Our proposed method is motivated by the observation that when a power grid net...