Good robot performance often relies upon the selection of design parameters that lead to a well conditioned Jacobian or impedance "design" matrix. In this paper, a new d...
In the study of PetaFlop project, Processor-In-Memory array was proposed to be a target architecture in achieving 1015 floating point operations per second computing performance. ...
Yi Tian, Edwin Hsing-Mean Sha, Chantana Chantrapor...
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
Abstract— Many asynchronous designs are naturally specified and implemented hierarchically as an interconnection of separate asynchronous modules that operate concurrently and c...
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...