EM signal processing in bio-living system
Bio-living organisms can effectively respond to various signals from the surrounding space due to their geometric shape. In this manuscript, our central goal is to understand the underlying mechanisms of signal processing inside bio-living systems, which may have beneficial applications in medical d...
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2020
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author | Singh, Pushpendra Ray, Kanad Yupapin, Preecha Tiong, Ong Chee Ali, Jalili Bandyopadhyay, Anirban |
author_facet | Singh, Pushpendra Ray, Kanad Yupapin, Preecha Tiong, Ong Chee Ali, Jalili Bandyopadhyay, Anirban |
author_sort | Singh, Pushpendra |
collection | ePrints |
description | Bio-living organisms can effectively respond to various signals from the surrounding space due to their geometric shape. In this manuscript, our central goal is to understand the underlying mechanisms of signal processing inside bio-living systems, which may have beneficial applications in medical domains such as disease diagnosis and sensing the space present for medical production. We have analyzed various proteins as well as EM signal distributions and expanded the characterization of biological components that may be important in cellular signal utilization to enhance complex behavior in a bio-living cell. Geometry, fractality, resonance, and clocking behavior are key features for analyzing any biological system. Here, we have reported the summarized results of various proteins and discussed how they have a naturally inbuilt prototype system that has various applications in the medical, industrial, and environmental fields. |
first_indexed | 2024-03-05T21:02:05Z |
format | Conference or Workshop Item |
id | utm.eprints-94163 |
institution | Universiti Teknologi Malaysia - ePrints |
last_indexed | 2024-03-05T21:02:05Z |
publishDate | 2020 |
record_format | dspace |
spelling | utm.eprints-941632022-02-28T13:24:59Z http://eprints.utm.my/94163/ EM signal processing in bio-living system Singh, Pushpendra Ray, Kanad Yupapin, Preecha Tiong, Ong Chee Ali, Jalili Bandyopadhyay, Anirban QA Mathematics Bio-living organisms can effectively respond to various signals from the surrounding space due to their geometric shape. In this manuscript, our central goal is to understand the underlying mechanisms of signal processing inside bio-living systems, which may have beneficial applications in medical domains such as disease diagnosis and sensing the space present for medical production. We have analyzed various proteins as well as EM signal distributions and expanded the characterization of biological components that may be important in cellular signal utilization to enhance complex behavior in a bio-living cell. Geometry, fractality, resonance, and clocking behavior are key features for analyzing any biological system. Here, we have reported the summarized results of various proteins and discussed how they have a naturally inbuilt prototype system that has various applications in the medical, industrial, and environmental fields. 2020 Conference or Workshop Item PeerReviewed Singh, Pushpendra and Ray, Kanad and Yupapin, Preecha and Tiong, Ong Chee and Ali, Jalili and Bandyopadhyay, Anirban (2020) EM signal processing in bio-living system. In: 2nd International Conference on Trends in Computational and Cognitive Engineering, TCCE 2020, 17 - 18 December 2020, Savar, Bangladesh. http://dx.doi.org/10.1007/978-981-33-4673-4_24 |
spellingShingle | QA Mathematics Singh, Pushpendra Ray, Kanad Yupapin, Preecha Tiong, Ong Chee Ali, Jalili Bandyopadhyay, Anirban EM signal processing in bio-living system |
title | EM signal processing in bio-living system |
title_full | EM signal processing in bio-living system |
title_fullStr | EM signal processing in bio-living system |
title_full_unstemmed | EM signal processing in bio-living system |
title_short | EM signal processing in bio-living system |
title_sort | em signal processing in bio living system |
topic | QA Mathematics |
work_keys_str_mv | AT singhpushpendra emsignalprocessinginbiolivingsystem AT raykanad emsignalprocessinginbiolivingsystem AT yupapinpreecha emsignalprocessinginbiolivingsystem AT tiongongchee emsignalprocessinginbiolivingsystem AT alijalili emsignalprocessinginbiolivingsystem AT bandyopadhyayanirban emsignalprocessinginbiolivingsystem |