The measurement of light scattering is a well established scientific method for the analysis of particle sizes in macromolecular solutions [1]. The spectrum of applications reaches from physics, over pharmacology, molecular and cell biology, immunology right up to environmental research. The underlying principle of this approach is the extraction of spectral information from light scattering using correlation techniques. The system at present, in the phase of design, represents a novel FPGA based real-time multi correlator system for multi angle dynamic and static light scattering experiments.
Until now the efficient identification of unknown CMOS integrated circuits (ICs) has attracted a lot of interest. In particular, different invasive and non-invasive strategies have been developed for IC identification. However, invasive procedures always lead to the destruction of device under test. The non-invasive approaches published so far have the disadvantage that ICs are analysed by using very complex and time consuming algorithms. This paper presents a novel non-invasive procedure to determine nonlinear binary multi-input multi-output (MIMO) ICs solely by their input-output behaviour. The algorithm presented in this paper identifies unknown ICs by the abstraction of traditional automata theory. The overall identification procedure was simulated and fully tested on IEEE ISCAS benchmark models as well as user defined models of real ICs. The results are presented in this paper. For every circuit analysed the function has been successfully determined by the proposed identification procedure.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.