This work is devoted to events monitoring in complex information systems. Authors depict some aspects of nowadays monitoring systems that make them ineffective. Next, research areas are presented. It is followed by a ...
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This work is devoted to events monitoring in complex information systems. Authors depict some aspects of nowadays monitoring systems that make them ineffective. Next, research areas are presented. It is followed by a proposition of a new technique of monitoring based on agents and idea of the molecule. Then system architecture is discussed. Lastly, the advantages of agents based approach is revealed.
The paper presents an approach to a problem of emitters localization. The emitters are localized in the sense of direction from which a signal arrives to a receiver. The advantage of the approach is that signals arriv...
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The paper presents an approach to a problem of emitters localization. The emitters are localized in the sense of direction from which a signal arrives to a receiver. The advantage of the approach is that signals arriving from different sources can be received concurrently. An object reflecting a signal returning to a receiver can be also treated as an emitter. Therefore solution of the problem is very important in robotics. It can be used for obstacle detection. This is the essential problem of mobile robot navigation. This technique can be also very useful to support mobility of blind persons. In the paper the most important features of the approach are discussed and preliminary experimental results are presented.
A new sampling scheme for 2D images is proposed, which is dedicated for fast processing and storing long sequences of industrial images. It was proved that the spectrum of non-bandlimited images can be approximated up...
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ISBN:
(纸本)9782839904506
A new sampling scheme for 2D images is proposed, which is dedicated for fast processing and storing long sequences of industrial images. It was proved that the spectrum of non-bandlimited images can be approximated up to a desired accuracy when number of samples grows. A simple reconstruction scheme is also proposed.
Problems of scheduling n unit-time jobs on m identical parallel processors are studied, in which for each job a distinct due window is given in advance. If a job is completed within its due window, then it incurs no p...
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Problems of scheduling n unit-time jobs on m identical parallel processors are studied, in which for each job a distinct due window is given in advance. If a job is completed within its due window, then it incurs no penalty. Otherwise, it incurs a job-dependent earliness or tardiness cost. For the problem in which earliness and tardiness costs depend on the distance between job completion time and the due window, the objective is to find a job schedule such that a sum or maximum of weighted costs associated with earliness and tardiness is minimized. For the problem with distance-independent costs, the objective is to find a schedule such that the total weighted number of early and tardy jobs is minimized. Properties of optimal solutions of these problems are established. It is proved that these problems can be reduced to min-sum and min-max assignment problems solvable in time O( n 4 ).
In this paper we propose a very effective method of construct genetic algorithms for the problems with fuzzy data. We apply block properties, which enable the inter-island genetic operator to distribute calculations a...
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In this paper we propose a very effective method of construct genetic algorithms for the problems with fuzzy data. We apply block properties, which enable the inter-island genetic operator to distribute calculations and use local search process apart of classic operators. The method proposed here is applied to realization of the construction object.
Constraint Programming (CP) is an emergent software technology for declarative description and effective solving of large combinatorial problems especially in the area of integrated production planning. In that contex...
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Constraint Programming (CP) is an emergent software technology for declarative description and effective solving of large combinatorial problems especially in the area of integrated production planning. In that context, CP can be considered as an appropriate framework for development of decision making software supporting scheduling of multi-robot in a multi-product job shop. The paper deals with multi-resource problem in which more than one shared renewable and non-renewable resource type may be required by manufacturing operation and the availability of each type is time-windows limited. The problem belongs to a class of NP-complete ones. The aim of the paper is to present a knowledge based and CLP-driven approach to multi-robot task allocation providing a prompt service to a set of routine queries stated both in straight and reverse way. Provided examples illustrate both cases while taking into account an accurate as well as an uncertain specification of robots and workers operation time.
In the note the class of block-oriented dynamic nonlinear systems is considered, in particular, Hammerstein and Wiener systems are investigated. Several algorithms for nonlinear system identification are presented. Th...
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In the note the class of block-oriented dynamic nonlinear systems is considered, in particular, Hammerstein and Wiener systems are investigated. Several algorithms for nonlinear system identification are presented. The algorithms exploit various degrees of prior knowledge - from parametric - to nonparametric. Eventually, a semiparametric algorithm, which shares advantages of both approaches is announced.
This work is devoted to dependability analysis of e-learning systems. Authors present technical aspects of the software part of e-learning systems (e-learning platforms, distant lectures, multimedia presentations and ...
This work is devoted to dependability analysis of e-learning systems. Authors present technical aspects of the software part of e-learning systems (e-learning platforms, distant lectures, multimedia presentations and virtual laboratories). Next, a high availability approach to hardware part is discussed. It is followed by a short analysis of several dependability aspects (availability, usability, scalability, interoperability, stability and security) with a conclusion that business continuity is a crucial factor. Therefore, the analysis of the e-learning system monitoring techniques is given. It is followed by a proposition of a new technique of monitoring: the virtual user representative.
This paper proposes a novel paradigm for conflict resolution in multi-vehicle traffic systems where a number of mobile agents move freely in a finite area, each agent following a motion profile designated to it. The k...
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This paper proposes a novel paradigm for conflict resolution in multi-vehicle traffic systems where a number of mobile agents move freely in a finite area, each agent following a motion profile designated to it. The key idea underlying the proposed method is the tesselation of the underlying motion area in a number of cells of a certain shape and size, and the treatment of these cells as resources that must be acquired by the mobile agents for the execution of the corresponding segments of their motion profiles, through an appropriate resource allocation protocol. In this way, it is possible to capitalize upon the existing literature on the real-time management of sequential resource allocation systems, and develop supervisory control policies that can formally guarantee the safe and live operation of the underlying traffic system, while they remain scalable with respect to the number of the moving agents.
Markov models are a well established technique widely used for modeling deterioration processes of the electric power equipment and in reliability analysis. Recently, several papers using Markov and semi-Markov models...
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ISBN:
(纸本)9781934325216;9781934325407;1934325406
Markov models are a well established technique widely used for modeling deterioration processes of the electric power equipment and in reliability analysis. Recently, several papers using Markov and semi-Markov models have been published addressing the issue of the calculation of the remaining life, future failure rates and the probability of failure of power equipment. This paper focuses on one such model and addresses an issue of accuracy of Markov model analysis. The paper presents a method of model adjustment and discusses implementation of three numerical algorithms solving the problem of parameter approximation. A practical example confirms validity of the approach and illustrates its efficiency.
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