Custom computing machines, a class of computational platforms consisting of recon gurable functional units with recon gurable interconnection networks, provide a middle-ground between specialpurpose hardware, which provide high execution speed, and general-purpose computers, which o er exibility. The Splash-2 system, one such custom computing machine, is an experimental platform for complex com...

This paper presents on power quality improvement in distributed radial network by using custom device (CPD). In system, the issue become more complex at all level. Here, for this concern, we introduce a concept of power, basically it is electronics controller, to provide supplier as much consumers. Custom (CPD) including active line conditioner (APLC) and static synchronous compensators (STATCO...

Many classes of applications, especially in the domains of signal and image processing, computer vision, and machine learning, are inherently tolerant to inaccuracies in their underlying computations. This tolerance can be exploited to design approximate circuits that perform within acceptable accuracies but have much lower power consumption and smaller area footprints than their exact counterp...

Scientists across all disciplines increasingly rely on machine learning algorithms to analyse and sort datasets of ever increasing volume complexity. Although trends outliers are easily extracted, careful close inspection will still be necessary explore disentangle detailed behaviour, as well identify systematics false positives. We must therefore incorporate new technologies facilitate scienti...