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Daily Archives: September 18, 2025

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Evaluating The Impact Of Rainwater Harvesting Systems For Sustainability In Multi National Organizations.

Authors: Dr.Reshma Nair, Mr.Protyush De

Abstract: The world has paved its way to project the issue of water scarcity in its various aspects. Multinational corporations are a victim to a abundant amount of water wastage every day. Therefore adopting sustainable practices in terms of rainwater harvesting, purification followed by reusal and generation of micro power to run mini devices like wireless charging system and so on that can be of great help to save water and applying hydro-logical power to save nonrenewable resources. This research explores the innovative application of bio- mimicry in rainwater harvesting, purification systems and installation of mini turbines, as a pathway for multinationals to reduce water dependency, promote environmental sustainability, and enhance operational resilience. Bio-mimicry, or the design approach that draws inspiration from natural processes and organisms, provides a robust framework for optimizing water capture, storage, filtration and power generation. Key measures discussed include the use of lotus leaf-inspired hydrophobic surfaces to maximize water collection, Baobab tree-inspired modular storage systems to sustain water availability, mangrove-root filtration techniques to enhance purification and installation of mini turbines to generate electricity. Additionally, the study examines fog and dew harvesting methods along with harvesting of dripping water from coolant pipes of condenser associated with air conditioners. By implementing these nature-inspired systems and closed loop automated turbine, multinationals can significantly lower water consumption, promote aquifer recharge and generate little bit of power to reduce pollution, aligning with their environmental, social, and governance (ESG) commitments. This research underscores bio-mimicry’s potential to reshape sustainable water practices within corporate structures and mini turbines to generate electricity, providing a scalable model for coherent and Eco-Philic practices in water management in diverse climates and operational contexts.

 

 

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Digital Data Security By Bio-Inspired Algorithm And Machine Learning

Authors: Dr. Devdas Saraswat, Pawan Singh Rajput

Abstract: Images are part of life that is a proof of many instants. Communication medium is quit vulnerable to transfer media as sensitive data may be perturb by intruders. So researcher work a lot for the network security optimization. This paper has proposed a model that authenticate the image obtained from the network. Work has proposed a model that extract optimize features from image by bio-inspired image segmentation. Segmented region of image was used for the embedding of authentic message in least significant bits region and used for training of mathematical model. Trained model is used for the prediction of clustered region when image undergoes in an attack. Experiment was done on real standard image dataset. Result shows that proposed model has improved the security under various attacks. Image quality was also highly maintained.

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