RADIOELECTRONIC AND COMPUTER SYSTEMS

The object of the research is the computerized health-improving complex “Quanton” and the process of its optimization by the performance criterion. This complex is designed for quick non-invasive diagnostics of the man and restoration of their functional and physiological state using quantum-wave action. It allows the human body to independently determine the characteristics of this action. The principle of operation of this complex is based on the identified fundamental laws of the reactions of the human body to certain electro-wave bio-resonance effects. These patterns are manifested in the form of changes in the values of individual physical parameters of the body, which can be objectively measured and used to determine the desired characteristics of healing effects. One of the most problematic issues of the existing samples of the complex is an insufficient performance, mainly by the consistent principle of work organization and using the manual method of obtaining and processing a significant amount of information when performing the diagnostic process. At the same time, the functionality of this complex can be realized with the help of various at the level of technicalization of the element base and various parametric solutions.

The method of complex structural-parametric optimization was used. Optimization is made according to the general process of diagnosis and the normalization of the body. At the same time, many typical ways to manage the performance of technical objects were used. Increased productivity of the computerized health and fitness complex “Quanton” was achieved due to:

- minimization of the initial scope of work based on the results of an integrated assessment of the radiation spectrum of the body;

- improving the speed of preparatory work by automating the process of finding and using multi-contact sensors;

- minimizing the time of the test signals;

- the use of information markers, the content of which is based on the principle of hierarchical information subordination;

- minimization of the duration of the main wave action due to the body's independent choice of this duration;

- minimizing the number of sessions.

According to the results of applying these techniques, the possibility of increasing the performance of the “Quanton” complex up to 8.7 times was established.

optimization; performance; diagnostics; recovery; computerized complex; decimeter wave therapy

Savitskaya, T. Yu., Venigorodskaya, N. O., Kashitskiy, E. S., Kremenevskaya, T. I., Shapechko, Ye. L., Shmerko, Ye. P. Skriningovoye primeneniye apparatno-programmnogo kompleksa neinvazivnoy diagnostiki [Screening use of hardware-software complex non-invasive diagnostics]. Big data and advanced analytics, Zhurnal BGUIiR, Minsk, 2018, no. 4, pp. 395-400.

Ogorodnik, I. M., Krutov, V. V., Semenov, V. P., Ternyuk, M. E. Sposib vidnovlennya funktsionalʹno-fiziolohichnoho stanu lyudyny [Method of restoration of functional and physiological state of man]. Patent Ukraine, no. 128776, 2018.

Ogorodnyk, I. Quanton method is the innovative way to treat chronic conditions. International scientific and practical Conference. GDV Technologies. Opportunities and Prospects, Russia, St. Petersburg, May 14 – 18, 2017. Available at: http://www.quanton.com.pl/ (аccessed 12.02.2019)

Barzinsky, V. P. Sposob identifikatsii spektral'nykh kharakteristik biologicheskikh i nezhivykh ob"yektov i ikh korrektsii [The method of identifying the spectral characteristics of biological and inanimate objects and their correction]. Patent Ukraine, no. 23476, 2007.

Golovanov, A. I. Ot proizvoditel'nosti k effektivnosti truda [From productivity to work efficiency]. Vestnik Tomskogo gosudarstvennogo universiteta – Tomsk State University Bulletin, 2013, no. 376, pp. 137-141.

Bilovol, G. V. Optymizatsiya mnozhyny sposobiv pidvyshchennya produktyvnosti bahatofunktsionalʹnykh mashynobudivnykh tekhnolohichnykh system [Optimization of the Multiple Methods of Increasing the Productivity of Multifunctional Mechanical Engineering Systems]. Visnyk Kharkivsʹkoho natsionalʹnoho tekhnichnoho universytetu silʹsʹkoho hospodarstva im. P. Vasylenka – Bulletin of the Kharkov National Technical. University of Agriculture named after P. Vasilenko, Kharkiv, 2005, no. 33, pp. 205–209.

Tsarov, A. M. Osnovnyye polozheniya teorii proizvoditel'nosti sistem mashin avtomaticheskogo deystviya na primere perekomponiruyemykh proizvodstvennykh sistem [The main provisions of the theory of productivity of automatic machines on the example of re-assembled production systems]. Problemy mashinostroyeniya i avtomatizatsii – Problems of mechanical engineering and automation, 2014, no. 3, pp. 33-41.

Belovol, A. V., Ternyuk, N. É. Syntez sposobov upravlenyya proyzvodytelʹnostʹyu polyfunktsyonalʹnykh mashyn y ykh system [Synthesis of methods for controlling the productivity of polyfunctional machines and their systems]. Visnyk Skhidnoukrayinsʹkoho natsionalʹnoho universytetu im. V. Dalya – Bulletin of the East-Ukrainian National University named after. V. Dahl, Luhansk, 2003, no. 12, pp. 7–9.

Shannon, L. Stetzer Biddle, Battelle, Technical System Audits (TSAs) and Instrument Performance Audits (IPAs) of the National Air Toxics Trends Sites (NATTS) and Supporting Laboratories. Available at: https://www3.epa.gov/ttnamti1/files/ambient/.../stetzer.pdf (аccessed 12.02.2019)

Helo, P. Managing agility and productivity in the electronics industry. Industrial Management & Data Systems, 2005, vol. 104, no. 7, pp. 567-577. DOI: 10.1108/02635570410550232.

Mandal, P. Inter-functional spread of quality in manufacturing. Industrial Management & Data Systems, 2000, vol. 100, no. 3, pp. 135-140. DOI: 10.1108/02635570010323201.

Rao, M. P., Miller, D. M. Expert systems applications for productivity analysis. Industrial Management & Data Systems, 2004, vol. 104, no. 9, pp. 776-785. DOI: 10.1108/02635570410567766.

Wazed, M. A., Shamsuddin, Ahmed. Multifactor Productivity Measurements Model (MFPMM) as Effectual Performance Measures in Manufacturing. Australian Journal of Basic and Applied Sciences, 2008, no. 2(4), pp. 987-996.

van Velzen, Joëlla E., Schuijf, Joanne D., de Graaf, Fleur R., Boersma, Eric., Pundziute, Gabija., Spanó, Fabrizio., Boogers, Mark J., Schalij, Martin J., Kroft, Lucia J., de Roos, Albert. Diagnostic performance of non-invasive multidetector computed tomography coronary angiography to detect coronary artery disease using different endpoints: detection of significant stenosis vs. detection of atherosclerosis. European Heart Journal, 2011, vol. 32, iss. 5, pp. 637–645. DOI: 10.1093/eurheartj/ehq395.

Smith, M. W., Davis, Giardina T, Murphy, D. R., Murphy, D. R., Laxmisan, A., Singh, H. Resilient actions in the diagnostic process and system performance. BMJ Quality & Safety, 2013, no. 22, pp. 1006-1013. DOI: 10.1136/bmjqs-2012-001661.

Singh, H., Motwani, J., Kumar, A. A review and analysis of the state-of-the-art research on productivity measurement. Industrial Management & Data Systems, 2000, vol. 105, no. 5, pp. 234-241. DOI: 10.1108/02635570010335271.

Tsai, W. H., Hsu, P. Y., Cheng, J. M. S., Chen, Y. W. An AHP approach to assessing the relative importance weights of ERP performance measures. International Journal of Management and Enterprise Development, 2006, vol. 3, no. 4, pp. 351-375. DOI: 10.1504/JMED.2006.009086.

Tavana, M, Szabat, K., Puranam, K. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics. IGI Global, 2016. 400 p. DOI: 10.4018/978-1-5225-0654-6.