Search

Urologists and nephrologists attribute pyelonephritis of pregnant women to the category of complicated upper urinary tract infections that threaten the development of a severe purulent-septic process. The frequency of pyelonephritis in pregnant women ranges from 12.2 to 33.8%. In this research, laboratory indicators of the state of immunity and lipid peroxidation using fuzzy decision logic are used to improve the quality of differential diagnosis of serous and purulent pyelonephritis in pregnant women. A space of informative indicators was formed that characterize the state of immune changes, making it possible to carry out the differential diagnosis of pyelonephritis forms in pregnant women with high accuracy. Results of the operation of the obtained decision rules in the control sample showed that the diagnostic efficiency of the proposed method reaches 93%, which is acceptable for use in medical practice.

The paper discusses the problems of determining the ergonomics level of technical systems based on fuzzy mathematical models. The role of the ergonomics in development and occurrence of occupational diseases using sets of hybrid fuzzy decision was studied. Checking decision rules on representative test samples showed that the resulting system of fuzzy inference rules can solve the problem of predicting the appearance of cochlear jade with confidence above 0.87 early diagnosis of the disease which allows recommending the use of the results obtained in clinical practice.

Many theories of reflexology use ancient concepts which do not coincide with the modern medical terminology of anatomy, physiology and biophysics. This substantially reduces the trust of physicians in reflexology methods. During this research, several mathematical models for the interaction of the internal and biological active points of meridian structures have been proposed. The analysis of these models allows the specification of a list of gastric diseases for which reflex diagnostics and reflex therapy methods are most effective and also allows increasing the effectiveness of these procedures. It is shown that good results for the prediction and early diagnosis of diseases from the reaction energy of biologically active points (acupuncture points) are obtained using fuzzy logic decision making.

A great number of reflexologies use ancient concepts that do not coincide with modern medical terminology of anatomy, physiology, and biophysics, substantially reducing the trust of today’s physicians in this direction of their profession. Recently, several mathematical models of internal and biological active points of meridian structures interaction have been proposed. These models allowed specification of diseases for which reflex diagnostics and reflex therapy methods are most effective and also increased the efficacy of these procedures. Good results for the prediction and early diagnosis of diseases from the reaction energy of biologically active points (acupuncture points) are obtained using fuzzy logic decision making.

The work discusses aspects of decision rule synthesis for prediction and early diagnostics of stomach diseases. The distinguishing feature of heterogeneous fuzzy rules of decision making is the fact that they use information about the energetic condition of biologically active points and also features traditionally used in medical practice such as alcohol consumption, smoking tobacco, inheritance, etc. Use of different types of the original data allows us to provide diagnostic efficiency in decisions at the level 0.9 or greater, which makes it possible to recommend the research outcome for medical practice.

A brief description of methods and software for estimation of the ergonomics of biotechnical systems ergonomics is given. The study shows that the used indicators don't give sufficient accuracy for practical purposes because they don't take into account the impact of ergonomics on the functional status, the health of the people status, and the used technical systems owing to the fuzzy and latent (hidden) nature of the links between them. A method of synthesis of hybrid fuzzy decision rules groups is proposed for the analysis of the data structure by specially developed algorithm exploratory analysis based on fuzzy application. Mathematical modelling and software showed that the confidence in the decisions made by the selected class of problems exceeds the level of 0.85. This allows recommending the use of the obtained results in clinical practice.

The theoretical outcomes and experimental results of new color model designed for accelerated image processing together with implementations of designed model to software of image processing are presented in the study. This model, as it will be shown below, may be used in modern real time video processing applications. The developed model allows to increase a speed of image processing algorithms using accelerated model of conversion to new decorrelated color space. Experimental results the proposed method can get a better performance than other existing methods.

One of today's trends is continuously increasing the number and the power ratings of the non-linear loads connected to the electric power systems. These non-linear loads, such as power- electronic converters, are the main source of the harmonics that affect the performance of the impedance-type distance relays. It was found that, in the presence of harmonics, undesired operation of such type of distance protection will occur, as the distance relay can react improperly and sense faults at zones other than the desired ones and the selectivity of the distance relays will be violated as improper relays will react while those concerned will not. It has been also shown that the fault location and the fault resistance were affecting the impedance seen by the distance relay. The data obtained from the analysis of a three-phase-to-ground fault, in a sample four-bus practical system, was used to study the behavior of the distance relay and to estimate the impedance seen by it. An algorithm, that can be used to calculate the system quantities in the presence of a harmonic source, was suggested.

The aim of the study was to suggest optimal solution for the impact of harmonics on the performance of Capacitor-Run Motor (CRM), the most commonly used single-phase motor. Therefore, investigations were carried out over the entire slip from no-load condition up to the locked-rotor condition, for harmonics of various orders in the case of using Pulse-Width Modulation (PWM) speed control. The investigations gave the ability to optimize the performance of CRM by choosing the appropriate parameters of the PWM inverter. Mathematical model for CRM supplied from voltage source contained harmonics was presented. The work was conducted by using a digital computer simulation (MATLAB software).

We apply mathematical models for the interaction of the internal and biologically active points of meridian structures. Amongst the diseases for which reflex diagnostics are effective are those of the stomach disease. It is shown that use of fuzzy logic decision-making yields good results for the prediction and early diagnosis of stomach diseases, depending on the reaction energy of biologically active points (acupuncture points). It is shown that good results for the prediction and early diagnosis of diseases from the reaction energy of biologically active points (acupuncture points) are obtained by using fuzzy logic decision-making. Analysis of resistances lower and higher than the nominal values allowed us to specify the prognostic and diagnostic models.

Determination of psycho-emotional tension on humans is performed by means of psychological tests, the electrical characteristics of biologically active points connected with the psycho-emotional sphere, and on indicators characterizing the state of a subject’s visual attention. The level of such tension is determined as an aggregate of these three components with the rules of fuzzy logic. It is shown that the resulting method can be used as an informative feature for prediction and medical diagnosis of conditions such as stomach and heart disease. The use of dissimilar parameters characterizing different areas of psychology takes into account the systemic nature of mental phenomena such as psycho-emotional tension. Fuzzy logic decision-making can correctly account for uncertainties in a parameter under consideration, combined with incomplete understanding of its properties in practice. Additionally, such an assessment of psycho-emotional tension allows one to integrate this indicator into fuzzy output systems for a broad range of tasks in the fields of medical and psychological diagnosis, including vocational suitability.

We propose a biotech measurement scheme and software based on new features for the diagnosis of backbone osteochondrosis. Together with the traditional methods of diagnosis, the energy characteristics of biologically active points (acupuncture points, or APs) are used. This new software is based on mathematical models of the internal and biologically active points of meridian structures' interaction. The information from the APs is used in the solving rules based on fuzzy logic for decision-making, together with the factors of confidence of Shortliffe, the membership functions of Zadeh, and Kullback's informativeness measures. In terms of prognostic decision rules, clinical test shows that the quality of prediction using only the energy characteristics of APs is high, with high coefficient of confidence for the control sample as well. A check on control samples allows us to recommend the obtained results for use in medical practice as a part of corresponding systems of support for decision-making.

Al-Khedher, M. A., & Alshamasin, M. S. (2012, June). SCARA robot control using neural networks. In Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on (Vol. 1, pp. 126-130). IEEE., A SCARA industrial robot model is identified based on a 4-axis structure using Lagrangian mechanics, also the dynamic model for the electromechanical actuator and motion transmission systems is identified. A conventional PD controller is implemented and compared to neural networks control system to achieve precise position control of SCARA manipulator. The performance of the modeled system is simulated using several desired tracking motion for each joint. Neural networks control method has shown a remarkable improvement of tracking capabilities for the SCARA robot over conventional PD controller. The proposed neural network controller has the potential to accurately control real-time manipulator applications.

Many theories of reflexology use ancient concepts which do not coincide with the modern medical terminology of anatomy, physiology and biophysics. This substantially reduces the trust of physicians in reflexology methods. During this research, several mathematical models for the interaction of the internal and biological active points of meridian structures have been proposed. The analysis of these models allows the specification of a list of heart diseases for which reflex diagnostics and reflex therapy methods are most effective and also allows increasing the effectiveness of these procedures. It is shown that good results for the prediction and early diagnosis of diseases from the reaction energy of biologically active points (acupuncture points) are obtained using fuzzy logic decision making.

A biotech measurement software system for determining emotional tension on humans is determined by means of psychological tests, the electrical characteristics of biologically active points connected with the psycho-emotional sphere and on indicators characterising the state of the subject’s visual attention. Each of these three areas determines several factors for psycho-emotional tension. The level of tension is determined as an aggregate of these three components with the rules of fuzzy logic. The membership functions and solving rules for the psychological tests, for acupuncture points, and for the state of visual attention are constructed using fuzzy logic theory.

For many diseases, new methods and models for their prediction, diagnosis and analysis are sought. We apply mathematical models for the interaction of the internal and biologically active points of meridian structures and can thereby specify diseases for which reflex diagnostics and reflex therapy methods are the most effective; amongst these are diseases of the gastrointestinal tract. The use of fuzzy logic decision-making yields good results for the prediction and early diagnosis of such diseases, depending on the reaction energy of biologically active points (acupuncture points).

A complete mathematical model of SCARA robot was developed and presented in this paper including servomotor dynamics and dynamics simulation. The equations of motion were derived by using Lagrangian mechanics. Direct current (DC) servomotor driving each robot joint was studied and modelled. SCARA robot was constructed to achieve drilling operation using solid dynamics (SD) software. The performance of the robot-actuator system was examined with solid dynamic simulation and verified with MATLAB/Simulink. The results of simulations were discussed. The facilities of the programmes (investigate, design, visualise, and test an object even if it does not exists) used for kinematic and dynamic simulation of robot systems were emphasised.