Abstracts
Gespeichert in:
| Datum: | 2013 |
|---|---|
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Міжнародний науково-навчальний центр інформаційних технологій і систем НАН України та МОН України
2013
|
| Schriftenreihe: | Кибернетика и вычислительная техника |
| Online Zugang: | http://dspace.nbuv.gov.ua/handle/123456789/84474 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Abstracts // Кибернетика и вычислительная техника. — 2013. — Вип. 172. — С. 90-95. — англ. |
Institution
Digital Library of Periodicals of National Academy of Sciences of Ukraine| id |
irk-123456789-84474 |
|---|---|
| record_format |
dspace |
| spelling |
irk-123456789-844742015-07-09T03:02:15Z Abstracts 2013 Article Abstracts // Кибернетика и вычислительная техника. — 2013. — Вип. 172. — С. 90-95. — англ. 0452-9910 http://dspace.nbuv.gov.ua/handle/123456789/84474 en Кибернетика и вычислительная техника Міжнародний науково-навчальний центр інформаційних технологій і систем НАН України та МОН України |
| institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| collection |
DSpace DC |
| language |
English |
| format |
Article |
| title |
Abstracts |
| spellingShingle |
Abstracts Кибернетика и вычислительная техника |
| title_short |
Abstracts |
| title_full |
Abstracts |
| title_fullStr |
Abstracts |
| title_full_unstemmed |
Abstracts |
| title_sort |
abstracts |
| publisher |
Міжнародний науково-навчальний центр інформаційних технологій і систем НАН України та МОН України |
| publishDate |
2013 |
| url |
http://dspace.nbuv.gov.ua/handle/123456789/84474 |
| citation_txt |
Abstracts // Кибернетика и вычислительная техника. — 2013. — Вип. 172. — С. 90-95. — англ. |
| series |
Кибернетика и вычислительная техника |
| first_indexed |
2025-07-06T11:28:08Z |
| last_indexed |
2025-07-06T11:28:08Z |
| _version_ |
1836896788088356864 |
| fulltext |
90
ABSTRACTS
V.I. Gritsenko, M.I. Vovk, S.I. Kiforenko, A.B. Kotova
HEALTH — PREVENTION: PRINCIPLES AND POSTULATES
Introduction: The main tasks of modern health care are not only in the plane
of high-tech treatments, and focus on developing high-tech methods of prevention
and early diagnosis of healthy individuals
The purpose of this work is to examine prevention and health as two
interrelated and interdependent process.
Methodological approach: stimulation of health reserves.
The main content: Health is seen as information control system, and control
– as the stimulation of health reserves. As a measure of health is the body's ability
to adapt to the environment. Under the stimulation of reserves we mean a series of
control actions that support the body's ability to effectively resist the environmental
perturbations. Methodological approach of such stimulation is a set of methods,
offering individually-appropriate control actions. These methods are the basis of
health improvement and prevention information technologies. The field of the
primary and secondary health prevention and their role in maintaining,
strengthening and expanding of health are defined. Considering prevention and
health as two interrelated and mutually agreed process, the postulates and
principles of health improvement and prevention are defined.
Conclusion: The foundation of solving of problems in the field of health
improvement and prevention is the unity of the verbal and quantitative approaches
that form the basis of preventive health information technologies.
Keywords: health, prevention, reserves, stimulation, adaptation, information
technologies.
M.N. Kovalenko, O.A. Кutsyak
THE DIRECT MONITORING OF PATIENT'S SPONTANEOUS
BREATHING INFORMATION SYSTEM
Introduction: The necessity and the relevance of patient's spontaneous
breathing monitoring is essential due to the fact that critically ill patients on
spontaneous breathing cannot do spirometry for respiratory function information
gathering. Basically, the monitoring systems realize information gathering through
indirect breathing registration and do not represent the pulmonary ventilation
parameters. The paper is focused on external breathing function information.
91
The purpose of the work is to develop the patient’s spontaneous breathing
monitoring information system with the priority of control of the pulmonary
ventilation parameters.
Methods: The method of registration and conversion of airflow volumetric
rate as a source of information about patient's respiratory system state, the method
of direct spontaneous breathing monitoring of patient, the math statistical methods
were used.
Results and discussion: The proposed information system in technical and
information aspects implements patient's monitoring of direct respiratory system
parameters and is a tool by which the specialist physician controls the patient's
pulmonary ventilation state and makes decisions. The software which is written in
the IT environment Delphi 7 is asking the monitoring device, carries data
gathering, data processing, linearization and patients database formation. For each
patient in the database the electronic card is created. The information in the system
can be obtained as in the monitoring process and by the completion of the
breathing monitoring process. The main business processes in the information
direct breathing monitoring system are described.
The system's algorithm, which provides information of the patient's respiratory
function state, links the methodological, technical and informational aspects of
patient's direct spontaneous breathing monitoring. The measurement limits of the
pulmonary ventilation function parameters at direct spontaneous breathing
monitoring were calculated.
Conclusion: The direct spontaneous breathing monitoring information system
with the priority of ventilation function parameters is the actual question. The
proposed direct spontaneous breathing monitoring information system is useful for
physicians and helps timely decision of the treatment correction in critically ill
patients. The system's algorithm is developed and the characteristic direct breathing
function parameters are emphasized. The cases of patient's medicament correct
treatment as a result of respiratory system dysfunction and transfer the patient to
mechanical ventilation is illustrated.
Keywords: breathing, monitoring, ventilatory function, tidal volume,
spontaneous, information system, airflow volumetric rate.
Dovbysh A.S., Stadnyk A.A., Rudenko M.S.
THE INFORMATION-EXTREME LEARNING ALGORITHM OF THE
INFECTIOUS DISEASES DIAGNOSIS SYSTEM
Introduction: The main direction of infectious diseases diagnostics
improvement is the development of computerized diagnostic system (CDS) for
infectious diseases treatment determining based on ideas and methods of machine
learning and pattern recognition.
92
The purpose of the work is to develop an information-extreme learning
algorithm of CDS for determining acute enteric infection (AEI) treatment.
Methods: The CDS learning algorithm is proposed to determine acute enteric
infection (AEI) treatment within the bounds of information-extreme intellectual
technology (IEIT), which is based on maximization of informational capability of
CDS in the process of its learning. The laboratory data of the control group of
persons, patients required a combined treatment with the inclusion of colloidal
silver (10 mg / L) and patients required treatment with probiotic and colloidal
silver on the background of basic therapy formed the training dataset. These
patterns were classified using IEIT with parallel-sequential optimization of
patterns’ binary reference vector coordinates’ selection levels.
Results: The practical implementation of the patterns’ binary reference
vectors coordinates’ selection levels parallel-sequential optimization algorithm
allowed to raise the accuracy of machine diagnosing under a priori uncertainty and
confirmed the effectiveness and reliability of the developed software.
Conclusion: Designed information-extreme algorithm of CDS machine
learning for AEI treatment determining on a priori classified training dataset allows
to determine optimal patterns’ binary reference vectors coordinates’ selection
levels that provides improving of the machine diagnosis accuracy.
Keywords: pattern recognition, information-extreme intellectual technology,
acute enteric infection.
I.I. Yermakova, Yu.M. Solopchuk
COMPUTER MODEL OF HUMAN THERMOREGULATORY
SYSTEM DURING IMMERSION
Introduction: Computer models of thermoregulation allow to predict the
physiological characteristics and the thermal state of a human during immersion in
water to avoid health hazard.
The purpose of this study is to develop a mathematical model for prediction
of dynamic changes of body temperature and important physiological
characteristics during water immersion and air environment
Results: Results of computer modeling showed that time of cooling of human
body in water depends on water temperature and intensity of physical activity.
During afloat with minimum physical activity, blood temperature drops at the rate
of -1.5 ºС an hour at water temperature of 20 ºС and -2.35 ºС an hour at water
temperature of 15 ºС. High level of physical activity can compensate heat loss and
keep blood temperature at normal level and even increase it. Free-style swimming
(600 W) at water temperature of 20 ºС raises blood temperature to 37.37 ºС and
holds it on at the same level. But during immersion in water temperature of 15 ºС
human physical activity of 600 W is not enough to compensate heat loss.
93
Conclusions: Mathematical model of human thermoregulatory system during
immersion is developed. This model takes into account submersion level,
environmental properties, intensity and type of human physical activity. The model
enables to estimate functional and thermal state of human, survival time and terms
of safety stay in water.
Keywords: cooling water, immersion, mathematical model, thermoregulatory
system.
Т.L. Mazurok
ADAPTIVE CONTROL OF TEACHING BASED ON A SYNERGISTIC
APPROACH
Introduction: The paper considers the development of synergistic control
model based on individualized teaching system adapts interdisciplinary relations.
The purpose of this article is to develop a means of improving the properties
of adaptive control actions on the part of an automatization computer-aided
teaching control system based on a synergistic approach and its realization of
intellectual technologies, taking into account the characteristics of integrative
teaching material.
Results: Determination of the coefficient of integration is the basis for process
control to forms competencies. The example confirms practical importance of
models of educational material and the interdisciplinary relations model. Software
as editor of the interdisciplinary relations created for easy filling the matrix for
teacher and the degree of relationships. The results of practical implementation of
the neuro-fuzzy system confirm the accuracy of the data.
Conclusions: On the basis of the synergistic approach to teaching model
adaptive control of the degree of integration of educational material. Means of
intellectual control are used. Computer experiments confirmed the efficiency of the
proposed approach.
Keywords: synergetic model of teaching, intellectual means of control,
systems of interdisciplinary relations, integrated teaching.
Yu.A. Prokopchuk
FORMAL MODELS OF THE BASIC ENTITIES “VALUE DIGRAPH”
AND “STRUCTURAL ENERGY”
Introduction: The present time features a new change of paradigm in
complex-systems science. Processes that demonstrate not only nonlinearity, but
also self-reference, deep indeterminate recursion, self-construction (self-
programming), self-recovery, and self-motion are coming to the front. All these
94
properties are associated with a wide spectrum of multilevel evolutionary
processes, especially cognitive ones, which can certainly be considered as
phenomena of the ideal. The notion of the ideal is one of the most important
categories in philosophy.
Problem statement: In fact, in natural sciences the ideal is not considered as
a rigorous (formal) category. The lack of a consistent scientific theory of the ideal
hinders the formulation and solution of applied problems involving the
development of intelligent applications, true partner systems, cognitive robotics,
and innovative approaches in education.
Purpose: This paper is aimed at constructing interrelated models of the basic
ideal entities “value digraph” and “structural energy” and at studying their
properties. As assumed by the author, these entities form the basis for strong (ideal)
interactions that underlie the development of key cognitive architectures and
processes.
Results: Interrelated models of the basic ideal entities “value digraph” and
“structural energy” are constructed, and their properties are studied. The peculiarity
of action of the structural coherence principle as applied to a value digraph and an
arbitrary pattern and the role of structural energy in the value digraph structural
instability mechanism are elucidated. A scheme of formation of generalized
representations of a pattern is constructed. The role of structural energy in pattern
sketch activity fluctuations is revealed. The mechanism of reduction (collapse) of
the energetic function of a pattern and the mechanism of anticipation and adaptive
resonance in its perception are considered.
Conclusion: The consideration of the model entities “value digraph” and
“structural energy” makes it possible to describe ideal phenomena (cognitive
dynamics) using the powerful tools of the nonlinear approach and to elucidate the
mechanism of action of the principles of limiting generalization, quantum
semantics, structural coherence, and adaptive resonance both on the level of a
value digraph and on the level of a pattern. The fundamental role of value digraphs
in the translation of structural energy inside the self-reference region responsible
for cognitive processes is shown.
Keywords: models of ideal processes, cognitive architectures, Paradigm of
Limiting Generalizations, structural energy, value and sketch digraphs
D.M. Parkhomchuk, O.V. Vizniuk
MULTIDIMENSIONAL SYSTEMS IDENTIFICATION USING
GENETIC OPTIMIZATION ALGORITHMS
Introduction: This paper presents a new method for linear multidimensional
systems identification. In contrast to existing methods, which use the fundamentals
of linear algebra or mathematical statistics, the identification problem here is
95
reduced to an optimization problem, which is solved using the genetic algorithm
called Differential Evolution. Due to the high resource capacity of the problem the
parallel computing technology is used.
The purpose of this paper is to develop and confirm the efficiency of direct
optimization methods for multidimensional systems identification.
Results: The error of parametric identification does not exceed the level
of 10-36, and the error of structural identification is less than 5%. These results
show that the method presented in this paper is stable and meets the quality criteria.
Conclusion: The authors succeeded in reaching their objective. Direct
optimization methods are effective for systems identification. Moreover, the
modification of Differential Evolution method for parallel computing reduces the
computation time from approx. 20 hours to 1 hour.
Keywords: Systems Identification, Differential Evolution, Global
optimization, direct varitional methods.
|