The developed method of optimal design of flexible optical networks takes into account various factors and goals to ensure efficient use of resources, high performance, scalability, and adaptability. A mathematical model is developed to determine the key parameters of the fiber optic linear network route. The topology of the route of a fiber-optic linear network based on the proposed matrix model is proposed. An algorithm for using the matrix model of parameters based on the proposed variant of the fiber-optic linear network route is developed. The application of a systematic approach using the proposed method will allow network designers to achieve optimal design of flexible optical networks that efficiently use resources, provide high performance, as well as scalability and adaptability necessary for future growth and technological progress.
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 laser autofluorescence microscopy of the distribution of the intensity of the multidimensional laser autofluorescence (MLA) microscopy of polycrystalline structures of biological tissue preparations are presented. The data of a statistical analysis of the distribution of the magnitude of the intensity of MLA networks of biological crystals of histological sections of tissues of the spleen with the parenchymal morphological structure of the dead are presented.
The work is devoted to the modern method of diagnosing skin diseases - video dermoscopy in the ultraviolet spectrum. The main features of the method are considered. The features of image processing and analysis for HC-video dermatoscopy are proposed for consideration. The main stages of processing HC-video dermoscopic images are considered. The main emphasis is placed on the methods of automated segmentation of HC-videodermoscopic images and the analysis of the errors that arise in this case. The stages of preliminary and post-processing of UVvideodermoscopic images are examined in detail. The main aspects of the automated analysis of dermoscopic image processing and the prospects of using such systems in medical practice are considered.
Thermoelectric properties of Si1-xGex (x = 0.03) solid solution whiskers doped with B impurities to the concentrations 1017 – 1019 cm-3 were studied in temperature range 300 - 420K. An influence of the whisker morphology, in particular their diameters and obliquity, on Seebeck coefficient, thermal conductivity and resistance was investigated. Seebeck coefficient and resistance was shown to increase, while thermal conductivity to decrease when the whisker diameter drops from 100 to 10μm, that is accompanied by a rise of figure of merit (up to 0,12 at 300K). Use of the whiskers with large obliquity leads to a small rise (of about 10 – 15%) increase of their Seebeck coefficient.
The paper deals with important issues of diagnosis early signs of diseases of the nervous system, including Parkinson's disease and other specific diseases. Small quantities of violation trajectory of spatial movement of the extremities of human disease at the primary level as the most appropriate features are studied. In modern medical practice is very actual the control the emergence of diseases of the nervous system, including Parkinson's disease. In work a model limbs with six rotational kinematic pairs for diagnosis of early signs of diseases of the nervous system is considered. subject.
Simplified model of image forming in spaceborne linear array sensors at arbitrary sight angles is proposed in this paper. On basis of evaluation of system "lens - linear array detector" modulation transfer function (MTF), the equations were obtained that allow you to determine spatial resolution on Earth’s surface. An example of pushbroom imager’s MTF determination at sight of Nadir and with different slopes of lens optical axis is given. Image quality changes, which accompany lens optical axis angular inclination were studied. More research needed to determine the impact of lens aberrations on imager’s MTF with arbitrary viewing angles.
This paper is devoted to the numerical investigation of the availability at cloud service systems. In this paper criteria and constraints calculations were performed and obtained results were analyzed for synthesis purposes of distributed service platforms based on the cloud service-oriented architecture such as availability and system performance index variations by defined set of the main parameters. The method of synthesis has been numerically generalized considering the type of service workload in statistical form by Hurst parameter application for each integrated service that requires implementation within the service delivery platform, which is synthesized by structural matching of virtual machines using combination of elementary servicing components up to functionality into a best-of-breed solution.
As a result of restrictions from Amdahl's Law the necessity of cloud-networks clustering was shown, which makes it possible to break the complex dynamic network into separate segments that simplifies access to the resources of virtual machines and, in general, to the "clouds" and respectively simplifies complex topological structure, enhancing the overall system performance.
In overall, proposed approaches and obtained results numerically justifying and algorithmically describing the process of structural and functional synthesis of efficient distributed service platforms, which under process of their configuring and exploitation provides an opportunity to act on the dynamic environment in terms of comprehensive services range and nomadic users’ workload pulsing.
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.
The findings have been expounded of the theoretical research aimed at the disclosure of the precise impact of the wear of the mechanical classifier spiral's working parts on the measurement accuracy of the amount of sand in the inter-turn space based on the sand body height. It has been demonstrated that the wear of the spiral's working parts affects both the amount of sand at a certain value of the height of its body and the measurement accuracy of the height itself, with the measurement conducted by the locating method. At a certain constant height of the sand body, less sand is accommodated in the spiral inter-turn space when the operational wear of the working parts is observed, and that “less” can amount to up to 30%. As a result of the working parts' allowable operational wear, the sand body height measurement vertical line coordinates change leading to a relative systemic error, which can reach 20%. That does not make it possible to directly measure the amount of sand in the inter-turn space based on the height of the sand body. The approaches developed make it possible to neutralize the relative sand body height measurement error and to ensure the determination of the amount of sand based on the height of its body with an error not exceeding the process requirements for that parameter's monitoring accuracy.
KEYWORDS: Clouds, Network architectures, Computer architecture, Networks, Control systems, Signal processing, Telecommunications, Interfaces, Environmental management, Received signal strength, Data processing
Mobility management is the key feature that supports the roaming of users between different systems. Handover is the essential aspect in the development of solutions supporting mobility scenarios. The handover process becomes more complex in a heterogeneous environment compared to the homogeneous one. Seamlessness and reduction of delay in servicing the handover calls, which can reduce the handover dropping probability, also require complex algorithms to provide a desired QoS for mobile users. A challenging problem to increase the scalability and availability of handover decision mechanisms is discussed. The aim of the paper is to propose cloud based handover as a service concept to cope with the challenges that arise.
Two techniques for online nodal load (NL) forecasting using preliminary classification of training set data are proposed. In the first one, a pattern recognition method, the rate evaluation algorithm (REM), is applied to measured load values of the previous day to classify load diagram that is being forecasted. Diagrams from resulting class are used to calculate load predictions. In the second technique, measured load values of a diagram from training set, which is the closest to the one being predicted, are used as estimates of predicted load values. Online NL forecasting using the mentioned above methods has been conducted. The corresponding mean square errors are given.
A method of edge detection in images is proposed basing that based on low-frequency filtering. The method uses polynomial interpolation to determine the coordinates of the edge point with subpixel accuracy. Some experiments have been results also have been provided.
Thermal power and excess air coefficient are one of key parameters that characterize operating point of combustion
process. In practice, they are hard to determine directly. The k-nearest neighbor (k-NN) regression algorithm was applied where some flame image geometric parameters were used as predictors. The model was assessed by carrying out several combustion tests for nine different settings of the laboratory combustion facility. Thermal power and excess air coefficient were kept constant and set independently for known biomass content.
The paper presents application of fiber optic flame monitoring system and its signals analysis for estimation thermal power and air-fuel ratio of single burner that are hard to determine. To achieve this, several combustion tests were conducted for nine different settings of the laboratory combustion facility, where thermal power and excess air coefficient were kept constant and set independently for known biomass content. Thermal power was regulated by adjusting fuel flow rate knowing the heating value of the known fuel blend. The fiber optic probe was capable to monitor several zones of the flame located along the axis of the flame. The k-NN regression algorithm was applied to determine thermal power and air-fuel ratio.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.