Relational DBMS are often used to store fuzzy values, but problems arise with putting such data in a tabular form. Moreover, there appears a problem of storing both the crisp and fuzzy data related to one subject doma...
Relational DBMS are often used to store fuzzy values, but problems arise with putting such data in a tabular form. Moreover, there appears a problem of storing both the crisp and fuzzy data related to one subject domain in one column of a relational table. This article considers the mechanism of storing crisp and fuzzy values and linguistic variables in the document-oriented Mongo DBMS. The data are stored in the collection as GeoJSON geometry; different geometries are used for different data options. The possibility of storing crisp scalar values, crisp value sets, crisp value intervals and fuzzy values in the collection documents is described. For data processing by means of SQL queries, the context-free grammar of the SQL subset is described, according to which lexer and parser are generated. In order to form the structure of an abstract syntactic tree, a corresponding object model has been implemented. A translator application has been developed, which allows converting SQL queries related to the crisp and fuzzy data into Mongo QL queries. The algorithm of fuzzy queries translation process is suggested; the geometrical interpretation of data comparison operations is described. The examples show the options of fuzzy comparison operations for different value options.
A mathematical model of injection of liquid sulfur dioxide into a porous medium saturated with water and methane, accompanied by the formation of SO2 gas hydrate on the frontal surface is presented. The dependences of...
A mathematical model of injection of liquid sulfur dioxide into a porous medium saturated with water and methane, accompanied by the formation of SO2 gas hydrate on the frontal surface is presented. The dependences of the temperature and the coordinates for the formation front of sulfur dioxide gas hydrate on the pressure of the injection and the initial pressure of the layer are explored. It is established that at sufficiently high injection pressure values and the initial temperature of the layer, as well as the low values of the layer’s initial pressure, the temperature of the porous medium on the boundary of gas hydrate formation of sulfur dioxide may rise above the decomposition’s equilibrium temperature of the gas hydrate of sulfur dioxide. This corresponds to the appearance of a zone in a porous medium saturated with a mixture of water, sulfur dioxide and its gas hydrate, being in a state of phase equilibrium.
The paper considers a mathematical model of the spread of a multiphase submerged jet, the flow of which is associated with a well damage during the development of a field or pipeline during oil transport. The jet cons...
The paper considers a mathematical model of the spread of a multiphase submerged jet, the flow of which is associated with a well damage during the development of a field or pipeline during oil transport. The jet consists of oil droplets and gas bubbles, as well as water involved into the jet. The case is considered when the environmental conditions correspond to the conditions of a stable hydrate existence, because a hydrate shell begins to form and the gas bubble turns into a hydrate on the surface of the bubbles. The integral Lagrangian control volume method is used to describe the jet spread process. The thermo-physical characteristics of a multiphase submerged jet, depending on the vertical coordinate, as well as the trajectory of the jet, are obtained.
In this paper, we study properties of solutions to doubly nonlinear reaction-diffusion systems with variable density and source. We demonstrate the possibilities of the self-similar approach to studying the qualitativ...
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In this paper, we study properties of solutions to doubly nonlinear reaction-diffusion systems with variable density and source. We demonstrate the possibilities of the self-similar approach to studying the qualitative properties of solutions of such reaction-diffusion systems. We also study the finite speed of propagation (FSP) properties of solutions, an asymptotic behavior of the compactly supported solutions and free boundary asymptotic solutions in quick diffusive and critical cases.
We introduce notions of ordinary and standard products of a-finite measures and prove their existence. This approach allows us to construct invariant extensions of ordinary and standard products of Haar measures. In p...
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We introduce notions of ordinary and standard products of a-finite measures and prove their existence. This approach allows us to construct invariant extensions of ordinary and standard products of Haar measures. In particular, we construct translation-invariant extensions of ordinary and standard Lebesgue measures on R∞ and Rogers-Fremlin measures on l∞, respectively, such that topological weights of quasi-metric spaces associated with these measures are maximal (i.e., 2c). We also solve some Fremlin problems concerned with an existence of uniform measures in Banach spaces.
Network Intrusion Detection Systems (NIDS) require the ability to generalize from previously observed attacks to detect even new or slight variation records of known attacks. As an intrusion detection system can be re...
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ISBN:
(纸本)1601320752
Network Intrusion Detection Systems (NIDS) require the ability to generalize from previously observed attacks to detect even new or slight variation records of known attacks. As an intrusion detection system can be regarded as classification problem, we use Artificial Neural networks for detection. Using a benchmark study and set from the KDD (Knowledge Data Discovery and Data Mining) competition designed by DARPA and Multi-layered perceptron neural network, this Paper will aim to solve a multi class problem using MLP in to distinguish the attack records from normal ones, and also identify the attack type. In addition, it shows how to use Tikhonov regularization parameter to optimize the optimal network architecture in order to increase the system performance. The results show that the designed system is capable of classifying records with 98.34% accuracy with two hidden layers of neuron. Finally, the performance of the benchmark study is compared with our results.
作者:
Y. WakasaY. YamamotoDept. of Applied Analysis and Complex Dynamical Systems
Graduate School of Informatics Kyoto University Kyoto Japan. Yuji Wakasa was born in Okayama
Japan in 1968. He received the B.S. and M.S. degrees in engineering from Kyoto university Japan in 1992 and 1994 respectively. From 1994 to 1998 he was a Research Associate in the Department of Information Technology Okayama University. Since April 1998 he has been a Research Associate in the Graduate School of Informatics Kyoto University. His current research interests include robust control and control system design via mathematical programming. Yutaka Yamamoto received his B.S. and M.S. degrees in engineering from Kyoto University
Kyoto Japan in 1972 and 1974 respectively and the M.S. and Ph.D. degree in mathematics from the University of Florida in 1976 and 1978 respectively. From 1978 to 1987 he was with Department of Applied Mathematics and Physics Kyoto University and from 1987 to 1997 with Department of Applied System Science. Since 1998 he is a professor at the current position. His current research interests include realization and robust control of distributed parameter systems learning control sampled-data systems and digital signal processing. Dr. Yamamoto is a receipient of the Sawaragi memorial paper award (1985) the Outstanding Paper Award of SICE (1987) Best Author Award of SICE (1990) the George Axelby Outstanding Paper Award of IEEE CSS in 1996 Takeda Paper Prize of SICE in 1997. He is a Fellow of IEEE. He was an associate editor of Automatica. He is currently an associate editor of IEEE Transactions on Automatic Control Systems and Control Letters and Mathematics of Control Signals and Systems. He is a member of the IEEE the Society of Instrument and Control Engineers (SICE) and the Institute of Systems Control and Information Engineers.
This paper presents a design method of control systems such that a designer can flexibly take account of tradeoffs between evaluated uncertainty ranges and the level of control performance. The problem is reduced to a...
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This paper presents a design method of control systems such that a designer can flexibly take account of tradeoffs between evaluated uncertainty ranges and the level of control performance. The problem is reduced to a BMI problem and approximately solved by LMIs. The convergence of the proposed approximation is proved in a modified sense. A numerical example shows the effectiveness of the proposed method in comparison with the standard robust control.
The basic polarized process algebra is completed yielding as a projective limit a cpo which also comprises infinite processes. It is shown that this model serves in a natural way as a semantics for several program alg...
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This book contains extended versions of the best papers presented at the 14th International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications, ICTERI 2018, he...
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ISBN:
(数字)9783030139292
ISBN:
(纸本)9783030139285
This book contains extended versions of the best papers presented at the 14th International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications, ICTERI 2018, held in Kyiv, Ukraine, in May 2018.;The 14 revised full papers included in this volume along with one invited full paper were carefully reviewed and selected from 257 initial submissions. The papers are organized in the following topical sections: advances in ICT research, ICT in education and education management, ICT solutions for industrial applications.
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