Abstract
Background: The medical data stored in the cloud is easily accessible, and the data of the patient can be shared among hospitals or medical centers. In this situation, in order to manage additional information, the cloud data must be of a smaller size.
Methods: In this research, the experiment is carried out in two ways: fast routing operations and compression from the chip in the DMFB technique. To achieve this size reduction, a compression mechanism is created to decrease the data without losing any data. To use this compression method, the data acquired from the chip is converted into an image. The image is then compressed using a genetic algorithm (GA) based on ring cross-over.
Results: As a result, the 8x8 array's biochip is incorporated into the power and area with the ring crossmodule for an efficient energy consumption operation. The process technique is used by the microfluidic (MF) feature to manage and sustain the droplets. In addition, to avoid pin-actuation conflicts, the optimization approach involves merging related pin actuation segments in parallel with the control pin. It synchronizes the length during the optimization process.
Conclusion: This proposed approach reduces power and area use. This algorithm is used to compress images. The results of the simulation show an improvement in dynamic power, static power, and delay. Furthermore, for improved outcomes, this GA compression application is compared to wavelet compressions.
Keywords: Array structure, DMFB, crossover scheme, pin configuration, control techniques, schedule process, compression.
Graphical Abstract
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