In the article the combined reflectance model based on quadratic and cubic polynomials is discussed. The main characteristics of physically accurate Torrance-Sparrow, Löw models and empirical Blinn, Phong, Schlick models are analyzed. The advantages and disadvantages of the cubic and quadratic Blinn-Phong model approximations are explored. The need in the development of new Blinn-Phong model approximation through combining the quadratic and cubic functions is justified. The cubic model is improved in order to improve the accuracy of Blinn-Phong model approximation in the attenuation zone. The formulas of the improved cubic model coefficients are simplified. The precise and approximated formulas for the calculation of connection point between quadratic and cubic functions are obtained. The productivity gain from the replacing the cubic function by the quadratic function in the glare’s epicenter zone is calculated. The absolute and relative errors of Blinn-Phong model approximation by the quadratic, cubic and the proposed model are compared. Through the visualization of the test figures “Teapot” and “Robot” the advantages of the proposed function usage for increasing the realism of glares formation are shown.
This work is devoted to the design and development of an intelligent information system for predicting the phase stability of solid solutions. Such solutions are used as a base for new luminescent materials. The main trends in the development of intelligent information systems were analyzed that led to a modification of a model for predicting the phase stability of solid solutions. The paper presents a variant review and selection of software design and development methods. Oracle Application Express (programming languages javascript, HTML, pl/SQL) and pl/SQL developer (programming language pl/SQL) were chosen as the software design environment. The paper also contains the analysis of database design methods with the software developed, including a definition of the main functions of the system.
The results of a complex statistical, correlation and fractal analysis of distributions of the magnitude of the real component of the elements of the Jones matrix polycrystalline films of biological fluids of different biochemical composition are presented. The magnitudes and ranges of changes in the set of statistical, correlation, and fractal moments of the 1st to 4th orders, which characterize the Jones-matrix images of dendritic, spherolithic, and combined networks of biological crystals, are determined. A classification system is proposed for the polarization manifestations of the optically anisotropic properties of such polycrystalline structures for the development of the principles for the differential diagnosis of pathological conditions of human organs.
The given data on the optical arrangement, in which the coordinate distributions of the real and imaginary component of the elements of the Jones matrix of optically thin polycrystalline layers are determined. Algorithms are presented and an experimental method for measuring the real and imaginary component of Jones-matrix images is analyzed. The experimental results of the study of statistical, correlation, and fractal parameters, which characterize the real component of the Jones-matrix image of polycrystalline networks of flat layers of the main types of human amino acids, are presented.
The possibilities of optical capillaroscopy to determine microcirculatory disorders are considered. Methods for evaluating microcirculation by measuring the size of a pillar and its departments, as well as the speed of capillary blood flow, which may indicate a state of microcirculation in general are proposed. The physical model of the capillary is considered, as well as the classification of the stages of microcirculation disturbance, which is used to form a medical conclusion about the severity of hemodynamic disorders. Also, for the system of computer capillaroscopy, methods for calibrating and segmenting images of microvessels are proposed.
There are research results of artificial neural networks usage for solving a hardly formalized objective – detection of a DDoS attacks on the computer network information resource in this article. An analysis of existing methods, technologies and tools for detecting DDoS attacks and protecting from them is carried out. Several feed forward neural networks are simulated. The architecture of the neural network which provides high-precision detection is presented.
In previous works we justified the necessity of developing the mathematical model for error calculations due to relativistic effects in GNSS measurements based on a metric tensor. In this paper we conduct calculation of the metric tensor components for a few configurations of the “Center of the Galaxy– Sun – Earth – Satellite” system to investigate mutual impact of relativistic effects, as well as comparative analysis with other existing mathematical models.
This paper is devoted to the study of methods for improving the capabilities of measuring large data arrays through the use of optically-controlled transparent and Blockchain technology. The research results are presented with the help of the developed method, which made it possible to evaluate the effectiveness of the proposed improvements ie the speed of data processing large sizes. In this paper, the main areas of application of the blockchain technology, its main properties are analyzed. During the work, the prospects for the development of this topic were determined, the main principle of the work of blockchain technologies and optically-controlled transparent. It has been determined that one of the main functions of the blockchain is its parallel processing and data analysis. With the help of the technology of the blockchain and with the help of optically controlled banners, a matrix filled with certain information was processed, we transformed each data cell with the hash-function into a hash-code. Also, the processing time and the hash function were investigated.
KEYWORDS: Medicine, Data storage, Picture Archiving and Communication System, Diagnostics, Clouds, Telecommunications, Digital micromirror devices, Databases, Statistical analysis, Mobile devices
Digital transformation occurs at different levels of the health care system, encompassing both practical medicine and industry management. Technological processes of digital medicine are accompanied by different information flows, formed in accordance with diagnosis and treatment business processes. To ensure the effective functioning and interaction of these processes, it is necessary to create information medical environments in health care facilities and regulate the exchange of digital medical data. The proposed concept of forming medical information environment is based on the principles of openness, fractality, continuity of the life cycle of the digital medical data and compliance with the level of access to these data. The implementation of the proposed concept was carried out in the development and research of medical information environments of various levels. The functions and their limitations in the business processes of the local MIE are analyzed and it is shown that taking into account the criteria for the formation of this environment provides information support for the doctor’s activities with digital medical data. This article also presents the main points of connecting a mobile component to an interhospital medical information environment. The structure and functions of the interhospital medical information environment, based on the principle of fractality, are aimed at integrating local medical information environments and the mobile component, which expands the application scope of digital medicine so at to increase the availability and quality of medical services.
The paper proposes a new method for calculating the weight coefficients of an artificial neural network in the systems of technical diagnostics of hydro aggregates, in which it is proposed to use the coefficients of correlation between vibration signals in spatially distributed points of a hydro aggregate. A mathematical model and algorithm for calculation of weight coefficients of an artificial neural network are developed. The expediency of use of wavelet transformation of time realizations of a vibration signal is shown, as a result of which the received vibration signal is divided into amplitude-frequency-time spectrum, which leads to increase its informativeness. Experimentally confirmed the presence of strong inter-correlation links between spatially distributed points of the hydro aggregate and their dependence on the nature and place of application of disturbing forces. The dependence of the correlation coefficients on the load of the hydro aggregate and the water pressure in the reservoir is established. The obtained results can be considered as an experimental confirmation of the expediency of using the proposed method for calculating the weight coefficients of an artificial neural network.
The given data on the optical arrangement, in which the coordinate distributions of the real and imaginary component of the elements of the Jones matrix of optically thin polycrystalline layers are determined. Algorithms are presented and an experimental method for measuring the real and imaginary component of Jones-matrix images is analyzed. The experimental results of the study of statistical, correlation, and fractal parameters, which characterize the real component of the Jones-matrix image of polycrystalline networks of flat layers of the main types of human amino acids, are presented.
KEYWORDS: Systems modeling, Mathematical modeling, Control systems, Analog electronics, Computing systems, Binary data, Associative arrays, Software development, Complex systems
The paper is devoted to the development and research of new mathematical models of the functioning and development of modern production systems. The development is based on the methodology of optimal aggregation and the solution of a variational problem of optimal development applying the maximum principle method. The following modules have been developed: operators of optimal aggregation of the “production, development”, “innovation” structures. The simulation model of the active external environment has been modified: “producers, products, consumers”. The decomposition of the development process has been made into intervals where correction of the optimal development strategy is performed. The analysis of the existing integral criteria of optimality of the “accumulated output” type has been made. The criterion of the generalized stability of the optimally aggregated production system on the given classes of environment is selected and implemented in the software environment. Examples of modelling are given.
In this work the characteristics research of microelectronic transducers of optical radiation with a frequency output signal on the basis of a hybrid integrated circuit consisting of a bipolar and a field-effect transistor with a Schottky barrier is presented. The connection of an external inductance to electrodes a collector - drain allows to implement the auto generating device. The frequency of the device generation depends on power of optical radiation falling on photosensing elements as a photoresistor, photodiode and photosensing transistors switched on in a circuit of the self-excited oscillator. The impedance on electrodes the collector - drain of bipolar and field transistors has capacitive reactive part and negative active resistance, which compensates power losses in a tuning circuit of the device. On the base of a nonlinear equivalent circuit of the transducer on an alternating current the analytical expressions of function of transformation and equation of sensitivity are obtained. The sensitivity of optical transducers lays in a range from 25 kHz/μWt/cm2 up to 150 kHz/μWt/cm2.
This article offers a risk assessment of bronchial asthma development in children with atopic dermatitis by applying
fuzzy-set theory to accumulated statistical data. It is shown that with a view to executing the said task one should
exercise a complex approach involving factors such as “IgE level”, “existence of obstructions” and “burdened bronchial
asthma heredity of immediate relatives”. The obtained results will assist in making adequate and well-informed medical
decisions as well as facilitate the decrease of the risk of developing bronchial asthma in children with atopic dermatitis.
KEYWORDS: Databases, System integration, Artificial intelligence, Fuzzy logic, Data processing, Integration, Computing systems, Data modeling, Data integration, Logic
The paper presents approaches for functional integration of automated system databases by means of artificial intelligence. The peculiarities of turning to account the database in the systems with the usage of a fuzzy implementation of functions were analyzed. Requirements for the normalization of such databases were defined. The question of data equivalence in conditions of uncertainty and collisions in the presence of the databases functional integration is considered and the model to reveal their possible occurrence is devised. The paper also presents evaluation method of standardization of integrated database normalization.
This paper highlights lights in a volume-oriented rendering which features a lot of advanced techniques intended to synthesize a highly realistic visual environment for a diverse set of applications.
This article is devoted of study of the air flow mode in the nasal cavity during a forced breath. It is extremely necessary to know what the air flow mode for aerodynamic calculations. We calculated the area and the equivalent diameter and Reynolds numbers for pathologies with functional disorders of nasal breath and made the following conclusions. High sensitivity to changes of the Reynolds numbers of the anatomical configuration of the nasal cavity causes that when simulation of passage of the airflow through the nasal cavity is necessary to determine the pressure drop over the length and local resistances. This makes it possible to take into account the effects of the air flow friction against the walls of the nasal cavity and vortex formation on local changes of configuration in the nasal channels.
In the work the hybrid expert system for stroke diagnosis was presented. The base of expert system consists of neural network and production rules. This program can quickly and accurately set to the patient preliminary and final diagnoses, get examination and treatment plans, print data of patient, analyze statistics data and perform parameterized search for patients.
For nowadays the main goal for using the sensors are the investigations the new gas sensitive materials. Optical gas sensors are characterized by most of the high response. Such sensors distinguished by the high sensitivity, selectivity and stability and have long-term operation1. The principle of operation is based on the absorption of NH3 gas by sensitive element of primary transducer and changing the spectral characteristics. Principle of gas sensor operation is based on the registration of shift of the wavelength minimum in spectral characteristics of cholesteric-nematic mixture (CNM). In paper as sensitive material used the CNM on the basis of BLO-61 cholesteric liquid crystal (CLC) with 5CB nematic liquid crystal (NLC) doped by single and multiwall carbon nanotubes. The optimal nanocomposite structure composition to obtain the maximum value of spectral sensitivity coefficient was determined. In paper was found the increasing the nanotubes concentration in CNM leads to increasing the spectral sensitivity coefficient independently of 5CB concentration in CNM, but the maximum nanotubes concentration was chosen to take in to account the optical transparency of experimental samples. Gas sensitive material on the basis of cholesteric-nematic mixture doped carbon nanotubes for optoelectronic NH3 gas sensor.
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