JOURNAL ARTICLE

Real-Time Systems - Biologically Inspired Future

Nevena AckovskaStevo BozinovskiGjorgji Jovancevski

Year: 2008 Journal:   Journal of Computers Vol: 3 (3)   Publisher: Academy Publisher

Abstract

In this paper, we are presenting a bionic approach towards real-time systems research. Observing that a cell is both real-time computing and real-time manufacturing system, the work presented here explores the analogy between the real-time computer systems (and their management) and the molecular biology control systems. This paper is a further elaboration of the idea that the cell is governed by a real-time operating system that resides in the DNA. It also gives insight into how knowledge obtained from the biological systems could lead to further evolution and improvement of the complex human-made real-time systems.

Keywords:
Computer science

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
19
Refs
0.19
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Modular Robots and Swarm Intelligence
Physical Sciences →  Engineering →  Mechanical Engineering
DNA and Biological Computing
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Gene Regulatory Network Analysis
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

Related Documents

BOOK-CHAPTER

Real-Time Biologically-Inspired Image Exposure Correction

Vassilios VonikakisChryssanthi IakovidouIoannis Andreadis

IFIP International Federation for Information Processing/IFIP Year: 2010 Pages: 133-153
BOOK-CHAPTER

Real-Time Emotion Recognition Using Biologically Inspired Models

Keith AndersonPeter W. McOwan

Lecture notes in computer science Year: 2003 Pages: 119-127
JOURNAL ARTICLE

Autonomous, biologically inspired systems for future space missions

A.K. NoorRichard J. DoyleSamuel L. Venneri

Journal:   Advances in Engineering Software Year: 2000 Vol: 31 (7)Pages: 473-480
© 2026 ScienceGate Book Chapters — All rights reserved.