Issue 2 (192), article 6

DOI:https://doi.org/10.15407/kvt192.02.084

Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Zlepko S.M.1,
D.Sc. (Engineering), Professor,
Head of the Department of Biomedical Engineering
e-mail: smzlepko@ukr.net
Chernyshova T.A.2, Doctor
e-mail: tetyana.che@gmail.com
Maevsky O.E.3, Dr (Medical), Professor,
Head of the Department of Histology
e-mail: maevskyalex8@gmail.com
Krivonosov V.E.4, docent,
Department of Biomedical Engineering
e-mail: yhtverf007@ukr.net
Azarkhov O.Y., Dr (Medical), Professor,
Head of the Department of Biomedical Engineering
e-mail: azarhov55@mail.ru

1Vinnytsia National Technical University,
Khm. highway 95, 21021, Vinnytsia, Ukraine
2Medical Center of National Aviation University,
Cosmonaut Komarov ave., 1, 03058, Kyiv, Ukraine
3Nicholay Pirogov Vinnitsa National Medical University,
Pyrohova str, 56, 21000, Vinnytsia, Ukraine
4Priazovsky State Technical University,
Universytetska str, 7, 87500, Mariupol, Ukraine

INFORMATION TECHNOLOGY OF DETERMINING CIRCULAR TUMOR CELLS IN HUMAN BLOOD

Introduction. The development of information systems and technologies for the processing of medical images of cells obtained in the study of histological preparations is one of the most important and priority directions of modern medical science.
The purpose of the article is to detect the CPR at various localizations of malignant neoplasms is currently one of the topical issues in oncology.
Results. A distinctive feature of the CPR is the aggressive metastatic potential, which allows them to be considered as the main mechanism of tumor progression. The article describes the methods of detecting the CPC, the functions and operations of image processing. The modern methods and algorithms for processing and restoring biomedical images are analyzed. The work of information technology for the determination of circulating tumor cells in human blood is given step by step. A comparison of the developed technology and existing analogues is made.
Conclusions. Unlike the existing technology, it detects a 4-micromycle GPC in the study of blood samples from patients with micellar lung cancer. The doctor, thus, received an automatic technology for the determination of the CPP in peripheral or venous blood with high reliability and informativeness, with maximum preservation of the integrity and invulnerability of circulating tumor cells. The analysis of literary sources and their own clinical studies have confirmed that only technologies based on the ISET method allow the detection of very rare circulating trophoblast cells of the fetus from the mother’s blood.

Keywords: technology, circulating tumor cell, medical image, histology, treatment, definition, criterion.

Download full text!

REFERENCES

1 Lukashevich M.M., Starovoytov V.V. Method of counting the number of cell nuclei on medical histological images. System analysis and applied informatics. 2016. No 2. P. 37–42. URL: https://cyberleninka.ru/article/n/metodika-podscheta-chisla-yader-kletok-na-meditsinskih-gistologicheskih-izobrazheniyah (Last accessed: 15.05.2018) (in Russian).

2 Determination of CSC content in peripheral blood in patients with primary generalized breast cancer at the treatment stages. URL: https://www.science-education.ru/ru/article/view?id=22788 (Last accessed: 15.05.2018) (in Russian).

3 Kagan M., Howard D., Bendele T., Mayes J., Silvia J., Repollet M., Doyle J. A Sample Preparation and Analysis System for Identification of Circulating Tumor Cells. Journal of Clinical Ligand Assay. 2002. V. 25, N 1. P. 104–110.

4 Vona G., Sabile A., Louha M., Sitruk V., Romana S., Schutze K., Capron F. Isolation by size of epithelial tumor cells?: a new method for the immunomorphological and molecular characterization of circulatingtumor cells. The American journal of pathology. 2000. V. 156, N 1. P. 57–63. https://doi.org/10.1016/S0002-9440(10)64706-2

5 Hayes G., Busch R., Voogt J., Siah I., Gee T., Hellerstein M., Chiorazzi N. Isolation of malignant B cells from patients with chronic lymphocytic leukemia (CLL) for analysis of cell proliferation: validation of a simplified method suitable for multi-center clinical studies. Leukemia research. 2010. V. 34, N 6. P. 809–815. https://doi.org/10.1016/j.leukres.2009.09.032

6 Pavlov A.Yu., Gafanov R.A., Tsibulskiy A.D., Fastovets S.V., Kravtsov I.B., Isaev T.K. The role of evaluation of circulating tumor cells in prostate cancer: diagnosis and dynamic observation. RMJ. 2016. No 8. P. 480–487 (in Russian).

7 Cell Search. URL: https://www.cellsearchctc.com/ (Last accessed: 25.04.2018)

8 Babyuk N.P. Method and system of estimation of dynamic changes of biomedical images in ophthalmology. Thesis, PhD (Engineering), Vinnitsia, VNTU, 2016, 24 p. (in Ukrainian

9 Hou JM, Krebs MG, Lancashire L, Sloane R, Backen A, Swain RK, ct al. Clinical significance and molecular characteristics of circulating tumor cells and circulating tumor microemboli in patients with small-cell lung cancer. J Clin Oncol. 2012. No. 30(5). P. 525–532.

10 Ma YC, Wang L, Yu PL. Recent Advances and Prospects in the Isolation by Size of Epithelial Tumor Ceils (ISET) Methodology. Technol Cancer Res Treat. 2012. No. f 2(4). P. 295–309.

11 Farace F, Massard C, Vimond N, Drusch F, Jacques N, Billiot F, el al. A direct comparison of CellSearch and ISET for circulating tumour-cell detection in patients with metastatic carcinomas. Br J Cancer. 2011. No. 105(6). P. 847–853.

12 Mouawia H, SakerA, Jais JP, Benachi A, Bussieres L, LacourB,el al. Circulating trophoblastic cells provide genetic diagnosis in 63 fetuses at risk for cystic fibrosis or spinal muscular atrophy. Reprod Blamed Online. 2012. No. 25(5). P. 503–520.

13 Burdenyuk I.I. Information technology for decision-making support in the analysis of biomedical data. Thesis, PhD (Engineering), Vinnitsia, VNTU, 2010. — 19 p. (in Ukrainian).

14 Ismailova G., Laget S., Paterlini-Brechot P. Diagnosis of circulatig tumor cells using ISET technology and their molecular characteristics for fluid biopsy: URL: https://cyberleninka.ru/article/n/diagnostika-tsirkuliruyuschih-opuholevyh-kletok-s-pomoschyu-tehnologii-iset-i-ih-molekulyarnaya-harakteristika-dlya-zhidkostnoy. (Last accessed: 13.05.2018) (in Russian).

15 15. Ledov V.K., Skrinnikova M.A., Popova O.P. Isolation of Circulating Tumor Cells by Isolated Size (ISET) (Overview). Vice versa Oncology. 2014. No 60(5). P. 548–552. (in Russian).

16 16. Cytological diagnosis of breast cancer URL: http://mastopatia.com/tsitologicheskaya-diagnostika-raka-molochnoy-zhelezi.html (Last accessed: 05.2018) (in Russian).

17 Sensitivity and specificity of diagnostic research URL: http://www.ebm.org.ua/clinical-epidemiology/testing/sensitivity-specificity/ (Last accessed: 20.05.2018) (in Russian).

18 18. MedovyiyS., Pyatnitskiy A.M., Sokolinskiy B.Z. Innovative project Development of a complex of automated microscopy, its cloud functional, Internet resource of laboratory telemedicine for medical analysis of biomaterials (MECOS-CZ). Innovation and examination. Is. 2(9), 2012, s. 50–64. (in Russian).

19 Ablameyko S.V., Nedzved A.M. Processing of optical images of cellular structures in medicine. Minsk, 2005. 156 p. (in Russian).

20 Chernyshova T.A, Zlepko S.M., Timchik S.V., Krivonosov V.Ye., Zlepko O.S. Information system for obtaining and processing microscopic images of circulating tumor cells (CPC). Achievements of clinical and experimental medicine. 2017. No 4 (32). P. 39–46.

21 Chernishova T.A., Zlepko S.M., Azarkhov O.Yu., Danilkov S.O., Krivonosov V.Ye., Baranovskyi D.M. Medical Informatics and Engineering: Sciences. Pract. Journal 2017. No 4 (40). P. 30–35. (in Ukrainian).

Received 03.04.2018

Issue 2 (192), article 5

DOI:https://doi.org/10.15407/kvt192.02.072

Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Rysovana L.M.1,
Assistant,
Department of Medical and Biological Physics and Medical Informatics
e-mail: rluba_24@ukr.net
Vуsotska O.V.2,
Dr (Engineering), Professor,
Professor of the Department of Information Control Systems
e-mail: evisotska@ukr.net
1Kharkov National Medical University,
Nauky ave., 4, 61022, Kharkiv, Ukraine
2Kharkov National University of Radio Electronics,
Nauky ave., 14, 61166, Kharkiv, Ukraine

INFORMATION SYSTEM OF DETECTION OF EMOTIONAL AND COGNITIVE DISORDERS IN PATIENTS WITH DISCIRCULATORY ENCEPHALOPATHY

Introduction. In modern conditions, there are topical issues of studying the mechanisms of formation and specificity of clinical manifestations of discirculatory encephalopathy in the able-bodied population. A large number of interrelated indicators that characterize emotional and cognitive disorders, the analysis of which requires the use of mathematical methods and software, determined the need to develop an information system for the detection of emotional and cognitive disorders in patients with discirculatory encephalopathy.
The purpose of the article is to develop a medical information system for the detection of emotional and cognitive disorders in patients with discirculatory encephalopathy, which increases the accuracy of diagnosis.
Materials and methods. The article uses mathematical statistics methods for processing diagnostic information; methods of mathematical modeling for constructing mathematical models for detecting the likelihood of emotional disorders and identifying and determining the severity of cognitive disorders in patients with discirculatory encephalopathy; methodical bases of construction of information technologies in medicine at construction of information system of revealing emotional and cognitive disorders in patients with discirculatory encephalopathy.
Results. During the writing of the article, a method was developed for detecting emotional and cognitive disorders in patients with discirculatory encephalopathy, including the definition of the likelihood of emotional disorders, the exposure vector for psychocorrection, the detection of cognitive disorders and determining their severity, and predicting the further development of cognitive disorders. A structural diagram of the medical information system “СognitiveDE” has been developed, which determines the composition and purpose of its main modules, and has allowed to develop a methodological basis for describing the interaction of the elements of the biological and technical subsystems. The software of the medical information system “СognitiveDE” was verified, which showed the compliance of the results of the individual stages of the system development with the requirements and restrictions formulated for them.
Conclusions. Using the developed method for detecting emotional and cognitive disorders in patients with discirculatory encephalopathy, based on developed mathematical models for determining the likelihood of emotional disorders and determining the severity of cognitive disorders, allows correctly diagnosing emotional and cognitive disorders.
The presented medical information system can be used by doctors of the neurological and psychiatric departments and medical psychologists to improve the accuracy and reduce the time of diagnosis of emotional and cognitive disorders.

Keywords: medical information system, assessment method, cognitive and emotional disorders, discirculatory encephalopathy.

Download full text!

REFERENCES

  1. Vysotskaya E.V., Kоzhina А.М., Risovanaya L.M., Chaika H.E. Application of discriminant analysis for the classification of cognitive disorders in patients with discirculatory encephalopathy. Information processing system, 2013, Vol. 9, pp. 189–193. (In Russian).
  2. Kоzhina А.М., Grigorova І.А., Korosty V.І. and others. Organic mental disorders due to somatic diseases: cognitive and emotional disorders. Kharkov: Ukraine Rarities, 2012, 120 p. (In Ukrainian).
  3. Aleksandrovsky Y.A., Shchukin B.P. Psychological disorders during and after natural disasters and disasters. Journal of Neuropathology and Psychiatry, 1991, Vol. 5, pp. 39–43. (In Russian).
  4. Bleicher V.M., Krook I.V., Bokov S.N. Clinical Pathopsychology. Moskow, 2002,
    511 pp. (In Russian).
  5. Miroshnikov S.A. Expert system Longitude. The experimental and diagnostic complex (EDC). SPb: Lema, 2010, 196 pp. (In Russian)
  6. Altamirov S.A. Application of information technology in the activities of a psychiatrist. Young Scientis, 2016, Vol. 29, pp. 200–203. (In Russian).
  7. Aimedica. General information. http://aimedica.ru/info.jsp. (In Russian).
  8. Kan L.V., Kuznetsova Y.M., Chudova N.V. Expert systems in the field of psychodiagnostics. Artificial Intelligence and Decision Making, 2010, Vol. 2, pp. 26–35. (In Russian).
  9. Rysovana L., Vysotska O., Porvan A., Alekseenko R. Family Crisis Investigation on the Basis of Regression Analysis. The problems of empirical research in psychology and humanities: Roland Barthes VIII International Scientific Conference. Europejskie Studia Humanistyczne: państwo i społeczeństwo. Krakow, 2016, Vol. 2, p. 83–91.
  10. Nechaeva G.I., Achmedov V.A., Bereznikov A.V. and others. Methodical approaches to the expert evaluation of the quality of therapeutic care for chronic cholecystitis. Therapeutic archive, 2010, Vol. 1, pp. 12–15. (In Russian).
  11. Watson A., McCabe T. Structured Testing: A Testing Methodology Using the Cyclomatic Complexity Metric. URL: http://www.mccabe.com/pdf/mccabe-nist235r.pdf. (Last accessed: 10.11.2017) 1996.

Received 26.02.2018

Issue 2 (192), article 4

DOI:https://doi.org/10.15407/kvt192.02.061

Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Buzynovsky А.B.1,
PhD student,
e-mail: arturdoc1983@ukr.net
Kovalenko A.S.1,
D.Sci. (Medicine), Professor,
Head of Medical Information Systems Department
e-mail: alexkovalenko@yandex.ua
Bayazitov N.R.2,
D.Sci. (Mdicine),
Professor at the Surgery Department
e-mail: ics_video@ukr.net
Godlevsky L.S.2,
D.Sci. (Medicine), Professor,
Chief of the Department of Biophysics, Informatics and Medical Devices
e-mail: godlevskyleonid@yahoo.com

1International Research and Training Center for Information Technologies
and Systems of the National Academy of Sciences of Ukraine
and Ministry of Education and Science of Ukraine,
Acad. Glushkova av., 40, Kiev, 03187, Ukraine
2Odessa National Medical University,
Valekhovsky Lane, 2, Odessa, 65082, Ukraine

THE EFFECTIVENESS OF SURGEON DECISION ON PAIN SYNDROME OF PELVIC ORIGIN TREATMENT IN WOMEN ESTIMATED WITH THE MODEL OF DECISION TREE

Introduction. The problem of correct diagnostics with the decision on the consequent adequate treatment of diseases which are causative for pelvic pain syndrome in women is actual for 15–24% women of fertile age.
The purpose of the work is to investigate the effectiveness of different methods of treatment women with pain syndrome originated from pelvis and lower part of abdomen on the basis of retrospective analysis of 1092 histories of diseases during 2013–2017 р.р.
Methods. Method of decision tree building up was used. The probability of different outcomes — restoration of health, recurrence of the disease along with the perioperative complications as well as duration of treatment in each case were taken into consideration as informative indices for decision tree composing. On the basis of mentioned data the index of effective period of treatment (EPT) was calculated. Period of observation was six months from the moment of disease diagnostics.
Results. It was established that the probability of complete health restoration was 0,83 after surgical treatment and 0,62 after drug treatment. In case of initial inefficiency of drug treatment the probability of restoration of health as a result of surgical intervention was 0,40. The EPT in surgically treated patients was less than EPT in patients with therapeutic treatment by 3,29 times at the moment of making decision on the method of treatment.
Conclusions. It was concluded that early decision on surgical intervention as a method of diagnostics and treatment was more effective when compared with the drug method of treatment women with pelvic pain syndrome. Dependence of the treatment effects upon perioperative complications serve as forecasting data for individual medical care delivered during postoperative period.

Keywords: tree of decision, undertaking of decision in surgery, pain syndrome, the effectiveness of treatment estimation.

Download full text!

REFERENCES

1 Lyashenko A.V., Bayazitov N.R., Godlevsky L.S. et al. Informational-technical system for automatized laparoscopic diagnostics. Radioelectronics, computer sciences and control. 2016. No 4. P. 90–96. (in Ukrainian).

2 Egorov A.A., Mikshina V.S. The models of surgeon decision. Letters on New Medical Technologies, 2011, Vol. 7, No4. P. 178–81. (in Russian)

3 Litvin A.A., Litvin V.A. Systems of decision support in surgery. News of Surgery, 2014. No 1. P. 96–100. (in Russian)

4 Kucey D.S. Decision analys is for the surgeon. World J.Surg, 1999. Vol. 23. P. 1227–1231. https://doi.org/10.1007/s002689900653

5 Sears E.D., Chung K.C. Decision analysis in plastic surgery: A Primer. PlastReconstrSurg. 2010. Vol. 126, N4. P. 1373–1380. https://doi.org/10.1097/PRS.0b013e3181ead10a

6 Ozerskaya I.A., Ageeva M.I. Chronic pelvic pain in women of fertile age. Ultrasonic diagnostics. Moscow 2009. 299 p. (in Russian)

7 Kiryanov B.F., Tokmachov M.S. Mathematical models in health care: text-book. Novgorod, 2009. 279 p. (in Russian)

8 Rudenko S.V., Romanenko M.V., Katunina O.G., Kolesnikova E.V. Markov models of patients state changes in projects of delivering medical service. Control of complicated systems development. 2012. No12. P. 86–89. (in Ukrainian)

9 Detsky A.S., Nagile G., Krahnetal M.D. Primer on medical decision analysis: Part 2. Building a tree. MedDecis Making. 1997. 7. P. 126–135. https://doi.org/10.1177/0272989X9701700202

10 Breiman L., Friedman J.H., Olshen R.A., Stone C.J. Classification and regression trees. Monterey, CA 1984. 368 p.

Reseived 12.10.2017

Issue 2 (192), article 3

DOI:https://doi.org/10.15407/kvt192.02.044

Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Zhiteckii L.S.,
PhD (Engineering),
Acting Head of the Department of Intelligent Automatic Systems
e-mail: leonid_zhiteckii@i.ua
Solovchuk K.Yu.,
PhD Student
e-mail: solovchuk_ok@ukr.net

International Research and Training Center for Information Technologies
and Systems of the National Academy of Science of Ukraine
and Ministry of Education and Sciences of Ukraine, Kiev, Ukraine,
Acad. Glushkova av., 40, Kiev, 03187, Ukraine

ADAPTIVE STABILIZATION OF SOME MULTIVARIABLE SYSTEMS WITH NONSQUARE GAIN MATRICES OF FULL RANK

Introduction. The paper states and solves a new problem concerning the adaptive stabilization of a specific class of linear multivariable discrete-time memoryless systems with nonsquare gain matrices at their equilibrium states. This class includes the multivariable systems in which the number of outputs exceeds the number of control inputs. It is assumed that the unknown gain matrices have full rank.
The purpose of this paper is to answer the question of how the pseudoinverse model-based adaptive approach might be utilized to deal with the uncertain multivariable memoryless system if the number of control inputs is less than the number of outputs.
Results. It is shown that the parameter estimates generated by the standard adaptive projection recursive procedure converge always to some finite values for any initial values of system’s parameters. Based on these ultimate features, it is proved that the adaptive pseudoinverse model-based control law makes it possible to achieve the equilibrium state of the nonsquare system to be controlled. The asymptotical properties of the adaptive feedback control system derived theoretically are substantiated by a simulation experiment.
Conclusion. It is established that the ultimate behavior of the closed-loop control system utilizing the adaptive pseudoinverse model-based concept is satisfactory.

Keywords: adaptive control, multivariable system, discrete time, feedback, pseudoinversion, stability, uncertainty.

Download full text!

REFERENCES

1 Dahleh M.A., Pearson J.B. l1 optimal-feedback controllers for MIMO discrete-time systems. IEEE Trans. Autom. Contr., 1987, vol. 32, no. 4, pp. 314–322. https://doi.org/10.1109/TAC.1987.1104603

2 McDonald J.S., Pearson J.B. l1 optimal control of multivariable systems with output norm constraints. Automatica, 1991, vol. 27, no. 2, pp. 317–329. https://doi.org/10.1016/0005-1098(91)90080-L

3 Maciejowski J. M. Multivariable Feedback Design. Wokinghan: Addison-Wesley, 1989.

4 Skogestad S., Postlethwaite I. Multivariable Feedback Control. UK, Chichester: Wiley, 1996.

5 Albertos P., Sala A. Multivariable Control Systems: an Engineering Approach. London: Springer, 2006.

6 Francis B., Wonham W. The internal model principle of control theory. Automatica, 1976, vol. 12, no. 5, pp. 457–465. https://doi.org/10.1016/0005-1098(76)90006-6

7 Brockett R. W. The invertibility of dynamic systems with application to control. Ph. D. Dissertation, Case Inst. of Technology, Cleveland, Ohio, 1963.

8 Silverman L. M. Inversion of multivariable linear systems. IEEE Trans. Autom. Contr., 1969, vol. AC-14, no. 3, pp. 270–276. https://doi.org/10.1109/TAC.1969.1099169

9 Lovass-Nagy V., Miller J. R., Powers L. D. On the application of matrix generalized inversion to the construction of inverse systems. Int. J. Control, 1976, vol. 24, no. 5, pp. 733–739. https://doi.org/10.1080/00207177608932859

10 Seraji H. Minimal inversion, command tracking and disturbance decoupling in multivariable systems. Int. J. Control, 1989, vol. 49, no. 6, pp. 2093–2191. https://doi.org/10.1080/00207178908559765

11 Marro G., Prattichizzo D., Zattoni E. Convolution profiles for right-inversion of multivariable non-minimum phase discrete-time systems. Automatica, 2002, vol. 38, no. 10, pp. 1695–1703. https://doi.org/10.1016/S0005-1098(02)00088-2

12 Liu C., Peng H. Inverse-dynamics based state and disturbance observers for linear time-invariant systems. ASME J. Dyn Syst., Meas. and Control, 2002, vol. 124, no. 5, pp. 376–381.

13 Lyubchyk L. M. Disturbance rejection in linear discrete multivariable systems: inverse model approach. Prep. 18th IFAC World Congress, Milano, Italy, 2011, pp. 7921–7926.

14 Pushkov S. G. Inversion of linear systems on the basis of state space realization. Journal of Computer and Systems Sciences International, 2018, vol. 57, vo. 1, pp. 7–17.

15 Pukhov G. E., Zhuk K. D. Synthesis of Interconnected Control Systems via Inverse Operator Method. Kiev: Nauk. dumka, 1966 (in Russian).

16 Skurikhin V. I., Gritsenko V. I., Zhiteckii L. S., Solovchuk K. Yu. Generalized inverse operator method in the problem of optimal controlling linear interconnected static plants. Dopovidi NAN Ukrainy, no. 8, pp. 57–66, 2014 (in Russian).

17 Zhiteckii L. S., Azarskov V. N., Solovchuk K. Yu., Sushchenko O. A. Discrete-time robust steady-state control of nonlinear multivariable systems: a unified approach. Proc. 19th IFAC World Congress, Cape Town, South Africa, 2014, pp. 8140–8145.

18 Zhitetskii L. S., Skurikhin V. I., Solovchuk K. Yu. Stabilization of a nonlinear multivariable discrete-time time-invariant plant with uncertainty on a linear pseudoinverse model. Journal of Computer and Systems Sciences International, 2017, vol. 56, no. 5, pp. 759–773. https://doi.org/10.1134/S1064230717040189

19 Zhiteckii L. S., Solovchuk K. Yu. Pseudoinversion in the problems of robust stabilizing multivariable discrete-time control systems of linear and nonlinear static objects under bounded disturbances. Journal of Automation and Information Sciences, 2017, vol. 49, no. 5, pp. 35–48. https://doi.org/10.1615/JAutomatInfScien.v49.i5.30

20 Fomin V. N., Fradkov A. L., Yakubovich V. A. Adaptive Control of Dynamic Plants. Moscow: Nauka, 1981 (in Russian).

21 Goodwin G.C., Sin K.S. Adaptive Filtering, Prediction and Control. Engewood Cliffs, NJ.: Prentice-Hall, 1984.

22 Landau I. D., Lozano R., M’Saad M. Adaptive Control. London: Springer, 1997.

23 Kuntsevich V. M. Control under Uncertainty: Guaranteed Results in Control and Identification Problems. Kiev: Nauk. dumka, 2006 (in Russian).

24 Zhiteckii L. S., Skurikhin V. I. Adaptive Control Systems with Parametric and Nonparametric Uncertainties. Kiev: Nauk. dumka, 2010 (in Russian).

25 Narendra K. S., Annaswamy A. M. Stable Adaptive Systems. NY: Dover Publications, 2012.

26 Ioannou P., Sun J. Robust Adaptive Control. NY: Dover Publications, 2013.

27 Astrom K. J., Wittenmark B. Adaptive Control: 2nd Edition. NY: Dover Publications, 2014.

28 Albert A. Regression and the Moore-Penrose Pseudoinverse. New York: Academic Press, 1972.

29 Kaczmarz S. Approximate solution of systems of linear equations. Internat. J. Control, 1993. vol. 57, no. 6. pp. 1269–1271. https://doi.org/10.1080/00207179308934446

30 Marcus M., Minc H. A Survey of Matrix Theory and Matrix Inequalities. Boston: Aliyn and Bacon, 1964.

31 Desoer C.A., Vidyasagar M. Feedback Systems: Input–Output Properties. New York: Elsevier, 1975.

Received 29.03.2018

Issue 2 (192), article 2

DOI:https://doi.org/10.15407/kvt192.02.023

Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Grytsenko V.I.1,
Corresponding Member of NAS of Ukraine,
Director of International Research and Training
Center for Information Technologies and Systems
of the National Academy of Sciences of Ukraine
and Ministry of Education and Science of Ukraine
e-mail: vig@irtc.org.ua
Gladun A.Y.1,
PhD (Engineering), Senior Researcher of the Department of Complex Research
of Information Technologies and Systems
e-mail: glanat@yahoo.com
Rogushina Y.V.2,
PhD (Phyz&Math), Senior Researcher of the Department of Automated Information Systems
e-mail: ladanandraka2010@gmail.com
1International Research and Training Center for Information
Technologies and Systems of the National Academy
of Sciences of Ukraine and Ministry of Education and Science of Ukraine,
40, Acad. Glushkov av., 03187, Kiev, Ukraine
2Institute of Program Systems of the National Academy of Sciences of Ukraine,
40, Acad. Glushkov av., 03187, Kiev, Ukraine

MODELS AND METHODS OF THE SEMANTIC WIKI RESOURCES USE AS KNOWLEDGE SOURCES FOR RENEWAL OF FORMAL DOMEN ONTOLOGIES

Introduction. The construction and implementation of intelligent systems based on the formalization and reuse of knowledge is a promising direction for the practical application of artificial intelligence methods. The basis of such systems is formalized representations of knowledge about the subject area, for example, in the form of ontology. There remains an open question of the choice of the formal apparatus tools for the construction of ontology.
The purpose of the paper is to develop models of structured representation of knowledge in Wiki-resources on the basis of ontologies and methods of their application for improving and replenishing ontologies of the subject area. The offered approach will allow integrating the current information on changes in the subject area and creating actual ontologies for various applied information technologies using ontologies.
Results. The expediency of using ontologies for presentation of knowledge in systems of artificial intelligence oriented to functioning in the open environment of the Web is considered. The researches connected with the construction of formal ontologies of subject areas and the means of their formalization are analyzed. A formal model of ontology, which specifies the existing approaches, describing in more detail the properties and characteristics of the relations between the main elements of ontology is proposed. An example of using the proposed method in the task of transforming the natural text into a sign language in the system of information support of people with speech and hearing impairments is given.
Conclusions. The paper describes a method for renewal the ontology of a subject area based on the proposed model and the use of semantically-tagged Wiki-resources as a source of knowledge. This provides a dynamic replenishment of the knowledge base of applied intelligent systems. The proposed method of renewal formal ontologies of the subject domain from semantic Wiki-resources provides the expansion of the vocabulary and the construction of its specialized versions for various professional fields or subject areas using external databases. The automatic addition of new words from subject areas is particularly important for developing industries, especially for the IT sector, which has a large number of people with speech and hearing impairments. The proposed approach will improve the quality of life for many people, expanding the boundaries of their communication.

Keywords: formal ontology, ontological languages, formal model of ontology, interpretation of ontologies, semantic Wiki-resources, information system.

Download full text!

REFERENCES

1 Gruber, T.R. A translation approach to portable ontology specifications. Knowledge Acquisition. 1993. Vol 5. P. 199–220. https://doi.org/10.1006/knac.1993.1008

2 Poli R. Decriptive, Formal and Formalized Ontology. In: Husserl’s Logical Investigations reconsidered, by Denis Fisette (ed.). Dordrecht: Kluwer Academic Publishers, 2003, pp. 183–210. 24p. https://www.ontology.co/essays/descriptive-ontologies.pdf

3 Degen W., Heller B., Herre H., Smith B. GOL: A General Ontological Language. 2002, 63 p. https://www.researchgate.net/publication/2498727_GOL_A_General_Ontological_Language

4 Genesereth V.R., Fikes R.E. Knowledge Interchange Format, Version 3.0, Reference Manual. Logic Group Report Logic-92-1, Computer Science Department, Stanford University. 1992. 68p. https://pdfs.semanticscholar.org/b20c/866025b85f165557235a68143c42d53fa70f.pdf

5 Guarino N. Formal Ontology and Information Systems. In: Formal Ontology in Information Systems. Proceedings of FOIS’98, by N. Guarino (ed.). Trento. Italy, Amsterdam, IOS-Press. 1998. P. 3–15. https://klevas.mif.vu.lt/~donatas/Vadovavimas/Temos/OntologiskaiTeisingasKoncepcinisModeliavi-mas/papildoma/Guarino98-Formal%20Ontology%20and%20Information%20Systems.pdf

6 Vasyukov V.L. Formal ontology and artificial intelligence (monograph). Moscow: IF RAS, 2006. 140 p. (in Russian)

7 Rogushina Yu.V., Gladun A.Ya. Mereological aspects of the ontological analysis of intelligent Web-services. Proceedings of the VII International Conference “Intellectual Analysis of Information” IAI-2007, 12-14 Mai 2007, Kyiv. — P. 312–321. (in Russian)

8 Kotarbi!ǹ!sky T. Elements of the theory of cognition, formal logic and methodology of sciences. Lviv, 1929. 232p.

9 9. Wille R., Ganter B. Formale Begriffsanalyse. Berlin-Heidelberg: Springer-Verlag, 1996, 192 p.

10 Ganter B., Stumme G., Wille R., eds. Formal Concept Analysis: Foundation and Application. Lecture Notes in Artificial Intelligence. 2005, No. 3626. 349 p. https://link.springer.com/content/pdf/bfm%3A978-3-540-31881-1%2F1.pdf

11 Lammari N., Metais E. Building and maintaining ontologies: a set of algorithms. Data Knowledge Engineering, 2004, No. 48 (2), P 155–176.

12 Guarino N. Formal Ontology and Information Systems. In: Ontology in Information Systems. Proceedings of FOIS-08, Trento. Italy, by N. Guarino (ed.), Amsterdam, IOS-Press, 2009. 340 p. http://mba.eci.ufmg.br/downloads/recol/FormalOntologyinInforma-tionSystems2008.pdf

13 Rogushina Yu.V., Priyma S.M, Strokan O.V. Creating and using semantic Wiki-resources: tutorial. Melitopol, FOP Odnorog T.V., 2017. 169 p. (in Ukrainian).

14 Anisimov A.V., Lyman K.S., Marchenko A.A. Methods for computing measures of semantic proximity of natural language words. Artificial Intelligence, 2009, No 3. P. 612–617. (in Russian)

15 15. Lozynska O., Davydov M. Information technology for Ukrainian Sign Language translation based on ontologies. An International quarterly journal ECONTECHMOD, 2015, Vol. 04, No. 2, P. 13–18.

16 16. Gladun A.Ya. Khala K.O. Standard DSTU ISO/IEC 2382:2018 Information Technologies. Dictionary. Kyiv: UkrNDNC, 2018. 526 p. (in Ukrainian).

17 Anisimov A., Marchenko O., Taranukha V., Vozniuk T. Semantic and Syntactic Model of Natural Language Based on Non-negative Matrix and Tensor Factorization. Proceedings of the International Conference on Natural Language Processing, 2014, Springer, Cham. P. 177–184.

18 Gladun A.Ya., Rogushina Yu.V. Ontology Repository as a Tool for Reusing Knowledge for Recognizing Information Objects. Ontology of Design, No 1, 2013. P. 35–49. (in Russian).

19 Gladun A.Ya., Rogushina Yu.V. Semantic Technologies: Principles and Practices. Kyiv: Universarium, 2016. 387 p. (in Ukrainian).

20 Gladun A.Ya., Rogushina Yu.V. Bases of Methodology of Formation of Thesauruses with Use Ontologic and the Mereologic Analysis. Artificial Intelligence, 2008, No 5. P. 112–124. (in Ukrainian).

Received 02.04.2018

Issue 2 (192), article 1

DOI:https://doi.org/10.15407/kvt192.02.005

Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Fainzilberg L.S.1, Dr (Engineering), Professor,
Chief Researcher of the Department of Intelligent Automatic Systems
e-mail: fainzilberg@gmail.com
Matushevych N.A.2, Master student,
Faculty of Biomedical Engineering
e-mail: natalie.matushevych@gmail.com
1International Research and Training Center for Information Technologies
and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Acad. Glushkova av., 40, Kiev, 03187, Ukraine
2The National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Peremohy av., 37, Kiev, 03056, Ukraine

COMPARATIVE EVALUATION OF CONVERGENCE’S SPEED OF LEARNING ALGORITHMS FOR LINEAR CLASSIFIERS BY STATISTICAL EXPERIMENTS METHOD

Introduction. One of the main tasks of artificial intelligence is pattern recognition, which is often reduced to determining the discriminant function parameters in the multidimensional feature space. When recognizable objects can be completely separated by a linear discriminant function, the task is reduced to the linear classifier learning. There are many algorithms for linear classifiers learning, two of which are the Rosenblatt learning algorithm and the Kozinets algorithm.
The purpose of the article is to investigate the properties of the Rosenblatt and Kozinets learning algorithms on the basis of statistical experiment by the Monte Carlo method.
Methods. Two algorithms for linear classifiers learning have been studied: Rosenblatt and Kozinets. A number of researches have been performed to compare the convergence rate of algorithms for a different number of points and for their different location. Variation of the iterations number of algorithms spent on samples of different sizes was analyzed.
Results. Statistical experiments have shown that for a small sample size in approximately 20% of cases the convergence rates of the Rosenblatt and Kozinets algorithms are the same, but with the increase of observations number, the Kozinets learning algorithm proved to be the absolute leader. Also, the convergence rate of the Kozinets learning algorithm is less sensitive to the location of points in the learning sample.
Conclusions. The higher convergence rate of the Kozinets algorithm compared to the Rosenblatt algorithm, confirmed by a series of statistical experiments, allows formulating a promising research line on the evolution of neural networks where the Kozinets algorithm will be used to adjust the basic elements — perceptrons.

Keywords: Linear classifier, Rosenblatt algorithm, Kozinets algorithm.

Download full text!

REFERENCES

1 Hastie T., Tibshirani R., Friedman J. The elements of statistical learning. NYk: Springer; 2014. 739 p.

2 Bishop C.M. Pattern recognition and machine learning. NY: Springer; 2006. 738 p.

3 Merkov A.B. Image recognition: Introduction to statistical learning methods. Moscow: URSS; 2011. 256 p. (In Russian).

4 Vapnik, V. The nature of statistical learning theory. NY: Springer-Verlag; 1995. 188 p. https://doi.org/10.1007/978-1-4757-2440-0

5 Gori M. Machine Learning: A constraint-based approach. Waltham: Morgan Kaufmann; 2017. 580 p.

6 Kodratoff Y., Michalski R.S. Machine learning: an artificial intelligence approach, Vol. 3. Elsevier; 2014. 825 p.

7 Camastra F., Vinciarelli A. Machine learning for audio, image and video analysis: Theory and Applications. Madrid: Springer; 2015. 561 p. https://doi.org/10.1007/978-1-4471-6735-8

8 Schlesinger M, Hlavac V. Ten lectures on statistical and structural pattern recognition. Dodrecht/Boston /London: Kluwer Academic Publishers; 2002. 519 p. https://doi.org/10.1007/978-94-017-3217-8

9 Burstein F., Holsapple Cl.W. Handbook on decision support systems 2: variations. NY: Springer; 2008. 798 p.

10 Kung S.Y. Kernel methods and machine learning. Cambridge: Cambridge University Press; 2014. 591 p. https://doi.org/10.1017/CBO9781139176224

11 Rosenblatt F. The perceptron: a probabilistic model for information storage and organization in the brain, Psychological Review. 1958. N. 65(6), P. 386–408.

12 Kozinets B.N. A recursive algorithm for dividing the convex hulls of two sets. “Computer Science and Programming”. 1966. N. 4. P. 43–50.

13 Novikoff A.B. On convergence proofs on perceptrons. Symposium on the Mathematical Theory of Automata. 1962. N. 12, P. 615–622.

14 Vapnik V.N., Chervonenkis A.J. Theory of pattern recognision. Moscow: Nauka; 1974. 416 p. (In Russian).

15 Buslenko N.P. The method of statistical modeling. Moscow: Statistics; 1970. 113 p. (In Russian).

16 Rubinstein R.Y., Kroese D.P. Simulation and the Monte Carlo method(3 ed.). NY: John Wiley & Sons; 2016. 432 p. https://doi.org/10.1002/9781118631980

17 Robert C.P., Casella G. Monte Carlo statistical methods(2nd ed.). NY: Springer; 2004. 649 p. https://doi.org/10.1007/978-1-4757-4145-2

18 Trickey K.A. Structural models of coefficient of variation matrices. Los Angeles: University of California; 2015. 233 p.

19 Kussul E., Baidyk T., Wunsch D.C. Neural networks and micromechanics. NY: Springer Science & Business Media; 2009. 221 p.

20 Misuno I.S., Rachkovskij D.A., Slipchenko S.V. Experimental investigation of handwritten digit classification // System Technologies. 2005. Issue 4(39). P. 110–133.

Received 15.03.2018

Issue 2 (192)

DOI:https://doi.org/10.15407/kvt192.02

Download Issue 2 (192) as PDF
View web version

TABLE OF CONTENTS:

Informatics and Information Technologies:

Fainzilberg L.S., Matushevych N.A.
Comparative Evaluation of Convergence’s Speed of Learning Algorithms for Linear Classifiers by Statistical Experiments Method

Grytsenko V.I., Gladun A.Y., Rogushina Y.V.
Models and Methods of the Semantic Wiki Resources Use as Knowledge Sources for Renewal of Formal Domen Ontologies

Intellectual Control and Systems:

Zhiteckii L.S., Solovchuk K.Yu.
Adaptive Stabilization of Some Multivariable Systems with Nonsquare Gain Matrices of Full Rank

Medical and Biological Cybernetics:

Buzynovsky А.B., Kovalenko A.S., Bayazitov N.R., Godlevsky L.S.
The Effectiveness of Surgeon Decision on Pain Syndrome of Pelvic Origin Treatment in Women Estimated with the Model of Decision Tree

Rysovana L.M., Vуsotska O.V.
Information System of Detection of Emotional and Cognitive Disorders in Patients with Discirculatory Encephalopathy

Zlepko S.M., Chernyshova T.A., Maevsky O.E., Krivonosov V.E., Azarkhov O.Y.
Information Technology of Determining Circular Tumor Cells in Human Blood

Issue 1 (191), article 5

DOI:https://doi.org/10.15407/kvt191.01.076

Kibern. vyčisl. teh., 2018, Issue 1 (191), pp.

Kaplin I.V.1, Ophthalmologist of the Kyiv Center of Therapy and Microsurgery of Eye,
Postgraduate student of department of ophthalmology
e-mail: smashdown@mail.ru
Kochina M.L.2, Dr (Biology), Professor,
Head of Department of Medical and Biological Bases of Sport
and Physical Rehabilitation
e-mail: kochinaml@gmail.com
Firsov A.G.3, PhD (Engineering),
Main Designer of LLC “ASTER-IT”
e-mail: shagrath.hire@gmail.com
1Kharkov Medical Academy of Postgraduate Education,
Аmosov st, 58, Kharkiv, 61000, Ukraine
2 Petro Mohyla Black Sea National University,
68 Marines st., 10, Mykolay, 54003, Ukraine
3 Limit Liability Company “ASTER-IT”,
Aviation st., 1, ap. 7, Kharkov, 61166, Ukraine

THE CONCEPTION OF TELEMEDICINE SYSTEM FOR EXPRESS ESTIMATION OF INTRAOCULAR PRESSURE’S LEVEL

Introduction. One of the reasons for the unfavorable outcome of glaucoma is an incorrect evaluation of the eye hydrodynamics data obtained by measuring intraocular pressure. That is why the development of new non-invasive methods of intraocular pressure studying is an urgent task. The cornea is optically anisotropic due to the effects of direct extraocular muscles and intraocular pressure on it, as well as the structure and properties of corneal collagen. When an eye cornea is illuminated by polarized light, we can observe an interference pattern which reflects the distribution of internal stresses in it. The parameters of interference patterns depend on the level of intraocular pressure.
The purpose of the article is to develop the telemedicine system’s conception for express estimation of intraocular pressure level with the use of interference pictures that are observed on glaucoma patients’ cornea in polarized light.
Results. The method for determining the interference parameters is performed in several stages in accordance with the developed algorithm. First, after receiving a color picture of interference pattern, its brightness is normalized and converted to monochrome. At the second stage, the cornea borders are fixed by means of two mode indicators, after which the contour is automatically applied to the image. At the third stage, the isochromatic contour is labeled using an adjustable ring pointer, which allows defining the isochrome width middle and standardizing the studies. After marking out the contour of the isochrome using splines, the isochrome itself is modeled. At the fourth stage, there is an automated calculation of the pixels forming the isochrome and filling the inner part.
Conclusions. To assess the level of intraocular pressure using interference patterns, it is necessary to determine their parameters, which can be performed in a semi-automated mode. The developed method provides a resolving power of at least 0.55 mm/pixel (3 times better than the known one) and reduces the research time by 11–15 times. It is not labor-intensive and can be implemented in the central regional hospital.

Keywords: telemedical system, polarized light, interference patterns, isochromes, parametrization.

Download full text (ua)!

REFERENCES

1 Rykov S.A., Vitovskaya O.P., Stepaniuk G.I. Morbidity, prevalence of ophthalmopathology and disability due to it in Ukraine. News of Glaucoma. 2009. No 1. P.34–35 (in Russian).

2 Vodovozov A.M., Kovylin V.V. Use of the polarization-optical method for diagnosing the state of oculomotor muscles with vertical deviation. Ophthalmological Journal. 1990. No 4. P. 201–204 (in Russian).

3 Method of intraocular pressure measurement: pat. 33640, Ukraine: IPC A 61 V 3/16, A 61 V 8/10. Nou 2007 11716; claimed 23.10.2008; published 10.07.2008 Bull. No 13. 4 p.

4 Kochina M.L., Kalimanov V.G. Methods of image processing for automation of pathology diagnosis of extraocular muscles. Applied Radioelectronics. 2008. Vol. 7, No 1. P. 93–96 (in Russian).

5 Kochina M.L., Kaplin I.V., Kovtun N.M. Results of polarized light using in the eye studying. Bulletinon the Problems of Biology and Medicine-2014. Iss. 4, vol. 1 (113). P. 139–145 (in Russian).

6 Penkov M.A., Kochina M.L. Interference method in the diagnosis of strabismus. Ophthalmological Journal. 1979. No 8. P. 497–498 (in Russian).

7 Penkov M.A., Kochina M.L Interference method in the diagnosis of strabismus. Bulletin of Ophthalmology. 1981. No 1. P. 39–41 (in Russian).

8 Penkov M.A., Kochina M.L. Application of polarized light in ophthalmology (review). Ophthalmological Journal. 1981. No 6. P. 368–372 (in Russian).

9 Penkov M.A., Tamarova R.M., Kochina M.L. Polarization method of studying the eye cornea. News of Medical Technology: a collection of articles. Moscow, 1982. Iss. 1. P. 27–30 (in Russian).

10 Zandman F. The photoelastic effect of the living eye. Experim. Mechanics. 1966. Vol. 6, No 5. P. 19–25. https://doi.org/10.1007/BF02327314

11 Bour L.J. Lopez Cardozo N.J. On the birefringence of the living human eye. Vision Res. 1981. Vol. 21, No 9. P. 1413–1421. https://doi.org/10.1016/0042-6989(81)90248-0

12 Komai Y., Ushiki T. The three dimensional organization of collagen fibrils in the human cornea and sclera. Invest. Ophthalmol. Vis. Sci. 1991. Vol. 32, No 8. P. 2244–2257.

13 Stanworth A., Naylor E.J.Polarized light studies of the cornea. The isolated cornea. J. Exp. Biol. 1953.Vol. 30. P. 160–163.

14 Penkov M.A., Kochina M.L. Method of diagnosing the pathology of intraocular pressure. Ophthalmological Journal. 1981. No 8. P. 476–479 (in Russian).

15 Cogan D.C. Some ocular phenomena produced with polarized light. Arch. Ophthalmol. 1941. Vol. 25, No 3. P. 391–400. https://doi.org/10.1001/archopht.1941.00870090013001

16 Cope W.T., Wolbarsht M.L., Yamanashi B.S. The corneal polarization cross. J. Opt. Soc. Am. 1978. Vol. 68, No 8. P. 1139–1141. https://doi.org/10.1364/JOSA.68.001139

17 Anderson K., El-Sheikh A., Newson T. Application of structural analysis to the mechanical behavior of the cornea. J.R. Soc. Interface. 2004. Vol. 1. P. 1–15. https://doi.org/10.1098/rsif.2004.0002

18 Kochina M.L., Kalimanov V.G. Investigation and modeling of the polarization-optical properties of the eye cornea in various states of extraocular muscles. Bionics of the intelligence. 2008. No 2 (69). P. 132–137 (in Russian).

19 Shaffer R.N., Lieberman M. F., Drake M.V. Becker-Shaffer’s Diagnosis and Therapy of the Glaucomas. Mosby, 1999. 716 p. No 1. P. 34–35.

20 Rao H.L., Senthil S., Garudadri C.S. Contralateral intraocular pressure lowering effect of prostaglandin analogues. Indian J Ophthalmol, 2014. Vol. 62. P. 575–579. https://doi.org/10.4103/0301-4738.129783

Received 30.11.2017

Issue 1 (191), article 4

DOI:https://doi.org/10.15407/kvt191.01.060

Kibern. vyčisl. teh., 2018, Issue 1 (191), pp.

Bachynskyy M.V., PhD (Engineering), Docent,
Docent of Biotechnical Chair
e-mail: m_bachynskiy@ukr.net
Yavorskyy B.I., Dr. (Engineering), Professor,
Professor of Biotechnical Chair
e-mail: biotehnic0@gmail.com
Ivan Puluj Ternopil National Technical University,
Rus’ka av., 56, Ternopil, 46001, Ukraine

INFORMATIONAL ASPECTS OF THE HAPTIC STIMULATION BY THE LIGHT FOR CORRECTION OF THE HUMAN’ STATE

Introduction. The study of the laws and principles of information processes in the biological systems of the human body in extreme forms of its activities and the development of the theory of medical information systems of such appointment, taking into account the status and trends of convergence of society, ecosystems and technology become very relevant. This state of affairs makes it possible to affirm that it is an actual scientific and applied problem of radical change of the existing paradigm of designing information systems.
The purpose of the article is to specify the informational aspects of low intensity, haptic stimulation by the light, which is essential for correction of the functional state of an organism of the human being, who works in extreme conditions, to develop and study such methods and systems.
Methods. Analyses of requirements, functions and systems for designing synthesis of information technologies and the control biotechnical system of correction of the functional state of an organism of the human, who works in extreme conditions. The theoretical and experimental dependences between the stimulation energy of light emission diode (LED) and the energy are transferred through the layered bio media design. Mathematical modelling and computational simulation. Comparison of these real and model data.
Results. The base aspects requirements, functions and systems for designing synthesis of information technologies and the control biotechnical system of correction of the functional state of an organism of the human, who works in extreme conditions, low intensity, haptic stimulation by the light are defined. The methods for determining of intensity I0 of light emission diode, recursive expression , and formula for coefficient Cm , where M — quantity of bio media layers were developed. The bridges, which connects Maxwell’s phenomenological theory with the atomistic theory of matter and optics, were used. Computer simulation studies have confirmed the specification of requirements, functional and structural schemas of biotechnical system.
Conclusions. Thanking to specification of requirements possibility-using recursive determining of the light flux intensity after every bio media layer was got. Under the effect of recurstion low computation complexity was caused. Information technology means (for automation optimal control) of the human state under external influences on the organism was developed. Further study to confirm statistical significance in representative samples of observations was opened.

Keywords:haptic stimulate, light, information biotechnical system

Download full text!

REFERENCES

1 NRC. 2024. Convergence: Facilitating Transdisciplinary Integration of Life Sciences, Physical Sciences, Engineering and Beyond. Washington, DC: The National Academies Press 153 p. URL: http://ribonode.ucsc.edu/SciEd/pdfs/ NAP_Convergence.pdf (Last accessed: 20.03.17).

2 Eyre H. A. et al. Strengthening the role of convergence science in medicine. Convergent science physical oncology. 2015. vol. 1. No2. 11 p. URL: http://iopscience.iop.org/article/ 10.1088/2057-1739/1/2/026001/pdf (Last accessed: 20.03.17).

3 Baker-Jarvis J., Kim S. The Interaction of Radio — Frequency Fields With Dielectric Materials at Macroscopic to Mesoscopic Scales. Journ. of Research of the National Institute of Standards and Technology. 2012. vol. 117. February 2. 60 p.

4 Yanenko O., Adamenko V., Shevchenko K., Kuz V. Automated system for irradiation of biologically active points of the human body. Scientific Journal of TNTU (Tern.). 2017. vol. 86. No2. P. 83–89.

5 Nair G.B., Dhoble S.J. A perspective perception on the applications of light-emitting diodes. Wiley Online Library, Luminescence. 2015. vol. 30 P. 1167–1175 URL: http://onlinelibrary.wiley.com/doi/10.1002/bio.2919/full (Last accessed: 13.03.2015).

6 Born M., Wolf E. Principles of optics, Great Britain, Exeter, 1986. 831 p.

7 Adam D. Perception, consciousness, memory. Fusion of a biologist, Moscow, 1983. 152 p. (in Russian).

8 8. King A. S. A Historical Note on the Discovery of the Depressor Nerve. British Veterinary Journal, 1956, vol. 112, Issue 9 pp. 353– https://doi.org/10.1016/S0007-1935(17)46453-0

9 9. Sherrington C. S. The Integrative Action of the Nervous System, USA, 1920. 412 p.

10 Gibson J.J. The perception of the visual world, Cambridge, Massachusetts: The Riverside Press, 1950. 240 p.

11 Gluckstad J., Palima D. Light Robotics — Structure-mediated Nanobiophotonics,Elsevier, 2017. 452 p.

12 Health Effects of Artificial Light. European Commission – Europa EU : SCENIHR. 118 p. URL: https://ec.europa.eu/health/scientific_committees/emerging/docs/scenihr_o_035.pdf (Last accessed: 20.03.17).

13 McGrath J. A., Eady R. A. J., Pope F. M. Anatomy and organization of human skin. Rook’s Textbook of dermatology, Oxford : Blackwell Science Ltd Oxford, 2004. pp. 3.1–3.84.

14 Okamoto K., Tashiro A., Chang Z., and Bereiter D. A. Bright light activates a trigeminal nociceptive pathway. Pain, 2010, vol. 149, No 2 pp. 235–242. https://doi.org/10.1016/j.pain.2010.02.004

15 Tuchin V.V. Optics of biological tissues. Methods of light scattering in medical diagnostics. M : Fizmatlit, 2013. 812 p. In Russian

16 Bachynskyy M.V., Stoyanov Yu. M., Yavorskyy B.I. Identification of parameters of dipole model of the LED radiation source. Scientific Journal of TNTU (Tern.), 2017, vol. 85, No1 pp. 118–125.

17 Bachynskyy M.V., Stoyanov Yu. M., Yavorskyy B.I. Mathematical modeling of LED radiation in the system of medical diagnostics. Scientific Journal of TNTU (Tern.), 2016, vol. 84, No4 pp. 124–130.

18 Bachynskyy M.V., Stoyanov Yu. M., Yavorskyy B.I. Determination of non-intensive light flux intensity after propagation through layered biological environment. Scientific Journal of TNTU (Tern.), 2017, vol. 86, No2 pp. 101–107.

19 HONGLITRONIC, Part: HL-508H238WC-MD. — Honglitronic. — 5.23.2012. — 5 p. [Electronic resource]. Access mode: http://leds.com.ua/assets/products/datasheets/ 121.pdf (last access: 20.03.17).

20 Handbook of LED Metrology. INSTRUMENT SYSTEMS GmbH. version 1.1, 2016. 42 p.

21 Bachynskyy M.V., Tymkiv P.O., Demchuk L.B. Determination of lighting characteristics of low intensity medical light-emitting diodes. Methodic of measurement MB-001LED-2017. Ternopil : National Technical University named after Ivan Puluj, Testing laboratory of X-ray medical technique, 2012. 19 p. (In Ukrainian).

Received 15.11.2017

Issue 1 (191), article 3

DOI:https://doi.org/10.15407/kvt191.01.045

Kibern. vyčisl. teh., 2018, Issue 1 (191), pp.

Grytsenko V.I., Corresponding Member of NAS of Ukraine,
Director of International Research and Training
Center for Information Technologies and Systems
of the National Academy of Sciences of Ukraine
and Ministry of Education and Science of Ukraine
e-mail: vig@irtc.org.ua
Volkov О.Y., Senior Researcher,
Intellectual Control Department
e-mail: alexvolk@ukr.net
Komar M.M., Researcher,
Intellectual Control Department
e-mail: nickkomar08@gmail.com
Bogachuk Y.P., PhD (Engineering), Senior Researcher,
Intellectual Control Department
e-mail: dep185@irtc.org.ua
International Research and Training Center for Information
Technologies and Systems of the National Academy
of Sciences of Ukraine and Ministry of Education and Science of Ukraine,
40, Acad. Glushkov av., 03187, Kiev, Ukraine

INTELLECTUALIZATION OF MODERN SYSTEMS OF AUTOMATIC CONTROL OF UNMANNED AERIAL VEHICLES

Introduction. The article discusses the actual questions of the need of creation of modern systems of automatic control of unmanned aerial vehicle (UAV) and describes new methods of its intellectualization. Today’s development of information technology requires accelerated development of the theory of intellectual control and the theory of systemic information technology. New technologies of intellectual control are extremely important for solving the problems of modern unmanned aviation.
The purpose of the article is to solve the issues of the development of the control system of UAV and to provide a number of measures aimed to ensuring its intellectualization. The approach considered in the article is based on the theory of high-precision remote control of dynamic objects and on the complex interaction of methods of theory of invariance, adaptive control and intellectualization of processes of UAV control.
Results. The development and implementation of control algorithms using functional program modules written in modern high-level programming languages in the computer environment based on microprocessors with a computing power sufficient to implement these algorithms in the form of a unified hardware and software complex of the integrated avionics.
The expansion of the range of functional capabilities of UAV control system that is offered to supplement the developed channels and algorithms of autopilot by the methods of intellectualization.
Conclusions. It is shown that combining the developed control laws for UAV autopilot into a unified hardware and software complex of integrated avionics and supplementing them with the proposed components of intellectualization will create a synergy effect and ensure the effectiveness and sustainability of the process of controlling the motion of the UAV.

Keywords: unmanned aerial vehicle, control system, invariance, intellectualization,

Download full text (ua)!

REFERENCES

  1. Krasil’shchikovM.N., SerebryakovG.G.Modern information technologies in the tasks of navigation and guidance of unmanned maneuverable aircrafts. Moscow: FIZMATLIT, 2009. 556 p. (in Russian).
  2. Kharchenko V.P., Chepizhenko V.I., Tunik A.А., Pavlova S.V. Avionic-sofunmannedaerialvehicles. Kyiv: Abris-Print, 2012. 464 p. (in Ukrainian)
  3. Fedosov E.A., Bobronnikov V.T., Kukhtenko V.I. Dynamic design of control systems for automatic maneuverable aircrafts. Moscow: Mashinostroyeniye, 1997. 336 p. (In Russian).
  4. Pavlova S., Komar M. The Invariant Adaptation of the Aircraft Control System in Emergency Situation During the Flight. ProceedingoftheNationalAviationUniversity. 2016. № 4(69). P. 28–33.
  5. Fahlstrom P., Gleason T. Introduction to UAV systems. Hoboken: Wiley, 2012. 4th ed. 308 p.
  6. Kortunov V.I., Mazurenko A.V., AliHusseinVaticMohammedControlsofminiandmicro-UAVs. Radiotelectronicandcomputersystems. 2016. № 1. P. 45–55 (In Russian).
  7. Austin R. Unmannedaircraftsystems. UAVsdesign, developmentanddeployment. JohnWiley&Sons, 2010. 372 p.
  8. Randal W. Beard, Timothy W. McLaine Small unmanned aerial vehicles: theory and practice. Moscow: TEKHNOSFERA, 2015. 312 c.
  9. AlyoshinB.S.Orientationandnavigationofmobileobjects: moderninformationtechnologies. Moscow: FIZMATLIT, 2006. 424 p. (In Russian).
  10. Volkov A.E., Pavlova S.V. Modelingoftheinvariantmethodforresolvingthedynamic-conflictsofaircraft. Cyberneticsandsystemsanalysis. 2017. № 53 (4). P. 105–112 (In Russian).
  11. Voloshenyuk D.A., Pavlova S.V. Managementofaircraftlandinginconditionsofincreasing-airtraffic. Controlsystemsandmachines. 2017 № 5. P. 62–74 (In Russian).

Received 27.12.2017