{'fraction_non_alphanumeric': 0.015096618357487922, 'fraction_numerical': 0.0012077294685990338, 'mean_word_length': 4.814035087719298, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Ring Cross Over Based Genetic Algorithm For DFMB Chip Design And Medical Image Compression



Recent days, medical data are stored in the cloud for easy access and sharing the data of patients between the health center for treatments. In such a situation, the data stored in the cloud should be of lesser size to accommodate more information. To perform this size reduction a compression process is implemented to reduce the data without loss of information.



This paper performs such an operation in two ways one is to fast routing operation in the DMFB approach and to perform the compression from the chip. To implement this compression process, the data obtained from the chip is converted into image and then Image compression is implemented using ring cross over based Genetic Algorithm. So, First of all 8x8 arrays biochip is implemented with the module of ring cross for efficient process of consumption in power and area. The process of the system is leads to manipulate and manage the droplets as per the function of Micro fluidic (MF). Also, for avoiding pin-actuation conflicts, optimization process is processed with the merging of corresponding pin actuation sequences in parallel process along with the control pins. It synchronized the length by the optimization process.



In this study, this suggested technique reduces the consumption of area, and power miserably. The simulation result shows the improvement in the static power, dynamic power and delay. With the help of this algorithm image compression is implemented. And also this genetic algorithm compression application is compared with wavelet compression for better results.
