Indrajit Pan

Ant Colony Optimization Based Droplet Routing Technique in Digital Microfluidic Biochip

Digital micro fluidic biochip

Efficient droplet router for digital microfluidic biochip using particle swarm optimizer

(DMFB)

Traffic organization by utilization of resources through grid computing concept

has gained much importance in recent times, which supports various on chip biological sample analysis. The analysis is performed on a two dimensional micro array. Significant researches are going on for high performance droplet routing in DMFB using computer aided design (

Overlapping Community Detection Through Threshold Analysis on Disjoint Network Structures

CAD

Pareto optimization technique in actuation control for error minimization and reliability analysis in an operational pin-constrained digital microfluidic biochip

) techniques. This paper proposes a bio inspired multi objective optimization technique for multiple droplet routing in single source-single destination net (two pin net) and also for dual source - single destination net (three pin net). Our proposed method is based on ant colony optimization

Intrusion Detection in Online Controller of Digital Microfluidic Biochips

(ACO)

Voltage driven electrowetting based microfluidic operations for efficient droplet routing in digital microfluidic biochips

technique that optimizes the number of electrode usage and routing completion time simultaneously. We run our algorithm on in-vitro, and some other existing benchmarks, and experimental results show improvement in most of the cases.

Droplet routing and wash droplet scheduling algorithm to remove cross-contamination in digital microfluidic biochip

Digital Microfluidic Biochip has emerged as a revolutionary finding in the field of micro-electromechanical research. Different complex bioassays and pathological analysis are being efficiently performed on this miniaturized chip with negligible amount of sample specimens. Initially biochip was invented on continuous-fluid-flow mechanism but later it has evolved with more efficient concept of digital-fluid-flow. These second generation biochips are capable of serving more complex bioassays. This operational change in biochip technology emerged with the requirement of high end computer aided design needs for physical design automation. The change also paved new avenues of research to assist the proficient design automation. Droplet routing is one of those major aspects where it necessarily requires minimization of both routing completion time and total electrode usage. This task involves optimization of multiple associated parameters. In this paper we have proposed a particle swarm optimization based approach for droplet outing. The process mainly operates in two phases where initially we perform clustering of state space and classification of nets into designated clusters. This helps us to reduce solution space by redefining local sub optimal target in the interleaved space between source and global target of a net. In the next phase we resolve the concurrent routing issues of every sub optimal situation to generate final routing schedule. The method was applied on some standard test benches and hard test sets. Comparative analysis of experimental results shows good improvement on the aspect of unit cell usage, routing completion time and execution time over some well existing methods.

Bit-Reversal Encryption Towards Secured Storage of Digital Image in Cloud Deployment

Recent progress in grid computing concept and its allied application technologies has helped us to device an efficient tool for heavy workload management. Concept of this middleware technology supports to build more and more complex application which can process large real time data set. Mobilization of under utilized resources among the needy processes can easily be carried out with distributed grid computing concept. In a real life scenario of a city, we have experienced traffic hazards as a daily phenomenon. There we often trail through to a well known regular path to avail our destination. This leads to an over utilization of the path, which can cause in serious congestion and delay. In our work we have considered the crisscross roads as resources, those cross sections as junctions and different kind of vehicles as processes. We have designed and simulated a method which has shown effective prospect in computing the real time congestion scenario between a source and destination pair. This mode of computing will help in efficient traffic management by directing the vehicles for some alternative well suited options of path to reach its destination more conveniently. Some effective decision makings in this regard have been performed depending upon the calculated congestion.

A Generic Defect Aware Heuristic Approach for Droplet Routing in a Digital Microfluidic Biochip with Minimal Pin Assignment

Distributed approach in a network is a prime attribute to achieve quality throughput. Many real-life infrastructures share such distributed network structures. Recently, researchers are focusing on different prime attributes of these distributed networks and meaningfully analyzing them to retrieve essential information toward throughput enhancement. These structures exhibit different constructs. Some of those are static and some are dynamic. They also contain strategic groups within it. Appropriately, identifying these groups is the key essence of community detection. Present work applies a novel mechanism for graphical analysis of network structures to detect overlapping communities. Experimental findings and comparative analysis with existing methods show efficacy of the present algorithm.