Structure for Dependability: Computer-Based Systems from an Interdisciplinary Perspective

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Structure for Dependability: Computer-Based Systems from an Interdisciplinary Perspective

Today, scientists use different methods of diagnosis to determine the main indexes of CVS. The versatility of parameters, indexes and criteria allows avoiding the ambiguity during analysis of complex study results in ergonomics, medicine, sports, etc. Natural geometrization of signals from different type of sensors simplifies analysis of both consistency and compatibility in manned subsystems.

Natural cycles of biosystem operation for cybernetic systems are of particular interest for cyber physical system developers. At different scale levels of signals the dynamic, energetic and cybernetic aspects of biological and physical systems functioning are hidden.

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They manifested after converting any cyclic signal X t and its derivatives in the trajectory of dynamic events. As a result of such geometrization the natural decomposition of signal onto geometrically ordered sections that reflect its dynamic and energetic components is carried out. Universal differential-geometrical parameters of these sections length, slope and curvature are mapped to the physical values state, velocity and acceleration.

Individual configuration of the signatures is naturally combined with a statistical regularity. The matrix of power balance indexes is proposed for analysis of the basic phases of functioning cycle. Individuality is most evident in the character of rearrangement of system functioning cycle and manifested in a packet presentation of cyclic signal signatures.

Both configuration and area changes of signatures are interrelated which allows to analyze functioning artifacts. Therefore, the character of signature configuration and area of changes in a natural way manifested the relation between dynamic and statistical regularities in system functioning. Consistent signature configuration change and entropy H is peculiar to biological systems. They naturally represent biological order based on the inherited relation of structures and functions.

In essence, the proposed approach is a kind of bridge between the macroscopic and microscopic description of systems functioning. The approach has also proved effective for the signature analysis of other functional characteristics of sensors. For example, spectral signatures 30 and temperature 31 , 32 PR dependencies allowed to establish a complex energy spectrum of defects which had previously been identified by various methods. The proposed approach is also compatible with other signal processing methods.

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Thus, the transformation of wavelet spectrograms of photoresponse to wavelet signatures at different scales allowed to reveal usually hidden information by means of universal tools of approach Search studies have shown that higher-order signatures are promising for the analysis of multi-scale signals. In general, our approach and universal tools for its implementation provide new opportunities for diagnostic systems, harmonization of human-computer interaction human-computer interaction and ensure intercomputer interaction machine-machine interaction in cyberphysical systems.

Obviously, application of approach tools will simplify the control of consistency in subsystems of technical systems. How to cite this article : Mygal, V. An interdisciplinary approach to study individuality in biological and physical systems functioning. Kadomtsev, B.

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Application of parametric and wavelet-signatures for sensor diagnostics.

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Lancet , — Careri, G. Ordine e disordine nella materia , — Latenza, Roma, Photoresponse assymmetry of CdZnTe crystals. Semiconductors 45 , — Evolution of the time and spatial photoresponse instabilities of the sensors based on CdZnTe crystals. Photocurrent spectra in parametrical form and their discrete wavelet decomposition for CdZnTe alloys. Spatial-temporal order of the photoresponse from the sensor materials.

Optical Systems Design , Proc. SPIE , B Download references. We are grateful to the State Fund for Basic Research of Ukraine for financial support Grants — , within the framework of which the main ideas of approach are developed. Correspondence to A. This work is licensed under a Creative Commons Attribution 4. Functional materials By submitting a comment you agree to abide by our Terms and Community Guidelines.

If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate. Article metrics. Advanced search. Skip to main content. Subjects Biological physics Characterization and analytical techniques. Abstract Signals of system functioning of different nature are presented in the parameter space state-velocity-acceleration as a trajectory of dynamic events. Introduction There are many common features in dynamical behavior of complex systems, both organic and inorganic 1.

Sensor response transformation into a subset of microstates Main ideas of the approach are considered by example of simple I t transient photoresponse TPR and complex V t cardiovascular signal geometrization in phase time-state-velocity space. Full size image.