Faults in biochips degrades the performance of the biochips. This paper describes a new multiple fault detection technique for digital micro fluidic based biochips. The microfluidic based biochips are most important revolutionizing laboratory procedures use at a vast scale, e.g., bio sensing, clinical diagnostics etc. Due to mixed energy domains this micro fluidic based biochip exhibits unique failure mechanism and need to be error free to ensure system dependability. In this paper a new advance technique is presented to traverse all the cells and cell boundary in much more less time compared to some previous technique to detect multiple faults.
Abstract. This paper presents a rigorous offline double fault diagnosis as well as a detection technique for Digital Microfluidic Biochips (DMFBs). Due to the underlying mixed technology biochips exhibit unique failure mechanisms and defects. Thus, offline and online test mechanisms are required to certify the dependability of the system. In this paper, the proposed algorithm detects double faults anywhere in the chip satisfying the dynamic fluidic constraints and improves the fault diagnosis time to an extent.
This paper presents an integrated offline testing of Single-Fault detection technique for the micro-fluidic based biochips and also diagnosis of single defects in order to achieve higher throughput and less time complexity of the execution process. In the field operation, this is to be used to increase chip dependability and reusability. In this paper, a pipelined technique is presented to traverse all the edges in much more less time in comparison to some previous approaches. It also ensures no collision of the droplets throughout the 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.