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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Main Authors: Singh, Pushpendra, Ray, Kanad, Yupapin, Preecha, Tiong, Ong Chee, Ali, Jalili, Bandyopadhyay, Anirban
Format: Conference or Workshop Item
Published: 2020
Subjects:
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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.
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institution Universiti Teknologi Malaysia - ePrints
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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