Future cellular mobile networks will be limited by the number of channels available in each cell. On the other hand, new broadband applications like video telephony will demand tight quality of service guarantees that...
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ISBN:
(纸本)0769514359
Future cellular mobile networks will be limited by the number of channels available in each cell. On the other hand, new broadband applications like video telephony will demand tight quality of service guarantees that must be met by the network at all times. Thus, advanced mechanisms for allocating these channels to incoming calls with different quality of service level will be of utmost importance. In this paper we introduce a new analytical model for cell channel allocation to multiclass traffic. Being based on Markov chains, the new model exploits the multi-class property and reduces the state space dramatically, thus enabling the solution of previously unsolvable problem classes. We additionally describe CECALL, a simulator implementing several different strategies for allocating cell channels to multiclass traffic, handoff pre-reservation and degradation of low-level call classes. The results of the analytical model are used for explaining important simulation results.
The management of Supply Chain Systems is one of the major issues that a firm has to deal with in today's global economy. The purpose of this type of system is to transform incomplete information about the market ...
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The management of Supply Chain Systems is one of the major issues that a firm has to deal with in today's global economy. The purpose of this type of system is to transform incomplete information about the market and available resources into co-ordinated plans for production and replenishment of goods and services in the network formed by co-operating units. One of the goals of Internet-Based Management (e-management) is to facilitate transfer and sharing of data and knowledge in the context of supply chain structures. Knowledge-based modelling tools for supply chain management utilise reusable components and configure knowledge as needed, in order to assist users (agents) in decision-making. This paper discusses a generic development methodology for e-management and conceptual modelling of supply chains. For illustration, applications from the automotive industry have been utilised.
A novel technique for the analysis, nonlinear model identification and prediction of the fetal magnetocardiogram (f-MCG) is presented. f-MCGs can be recorded with the use of specific totally non-invasive superconducti...
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A novel technique for the analysis, nonlinear model identification and prediction of the fetal magnetocardiogram (f-MCG) is presented. f-MCGs can be recorded with the use of specific totally non-invasive superconductive quantum interference devices (SQUID). For the analysis and classification of the f-MCG signals we introduce an intelligent method that combines the following well known advanced signal processing techniques: the genetic algorithms (GA), the multimodel partitioning (MMP) theory and the extended Kalman filters (EKF). Simulations illustrate that the proposed method is selecting the correct model structure and identifies the model parameters in a sufficiently small number of iterations and tracks successfully changes in the signal, in real time. The information provided by the proposed analysis is easily interpreted and assessed by gynecologists and consist of the clinical status of the fetus. The proposed algorithm can be parallel implemented and also a VLSI implementation is feasible.
In this paper, a nonsingular terminal sliding mode concept is introduced for the control of a class of nonlinear dynamical systems. This nonsingular terminal sliding mode control not only enables the £nite time c...
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In this paper, a nonsingular terminal sliding mode concept is introduced for the control of a class of nonlinear dynamical systems. This nonsingular terminal sliding mode control not only enables the £nite time convergence of the system equilibrium, but also eliminates the singularity problem associated with conventional terminal sliding mode control. Simulations are presented to show the effectiveness of the design.
This article introduces an approach to measures of information granules based on rough set theory. Informally, an information granule is a representation of a multiset (or bag) of real-world objects that are somehow i...
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This article introduces an approach to measures of information granules based on rough set theory. Informally, an information granule is a representation of a multiset (or bag) of real-world objects that are somehow indistinguishable, or similar, or which cause the same functionality. Examples of measures of information granules based on the rough set theory are inclusion, closeness, size, and enclosure. All of these measures are based on rough inclusion. This paper is limited to a consideration of measures of inclusion based on a straightforward extension of classical rough membership functions and closeness based on measurement of separation of equivalence classes in a partition of the universe containing information granules. Measurement of sensor-based information granules has been motivated by recent studies of sensor signals. A sensor signal is a non-empty, finite set of sample sensor signal values temporally ordered. Classification of sensor signals requires measurements of sample signal values over subintervals of time. This article introduces a rough set approach to measuring information granule inclusion and closeness.
In addition to the integration of vehicles into traditional networks (e.g. access to the Internet via cellular) the Ad-hoc connection of vehicles within a limited area is a technology that promises a lot of innovative...
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In addition to the integration of vehicles into traditional networks (e.g. access to the Internet via cellular) the Ad-hoc connection of vehicles within a limited area is a technology that promises a lot of innovative and exciting services. This paper starts with the description of some services to motivate Ad-hoc networking in the vehicular environment. It then gives an overview of the current challenges (especially routing protocols) in this field. If the geographic position of the network nodes is known, better performance can be achieved with the utilization of so called geocast routing-algorithms. An overview of geocast-routing is given and shortcomings of the existing protocols for the usage in inter-vehicle Ad-hoc networks are explained. Finally we make a proposal for a vehicle-optimized geocast routing, protocol that is based on AODV and present our prototype implementation.
This paper addresses the nonlinear autoregressive moving average (NARMA) identification problem in connection with the choice of the model structure (order) and computation of the time varying system coefficients. We ...
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This paper addresses the nonlinear autoregressive moving average (NARMA) identification problem in connection with the choice of the model structure (order) and computation of the time varying system coefficients. We introduce an intelligent method that is based on the reformulation of the problem in the standard state space form and the subsequent implementation of a bank of extended Kalman filters, each fitting a different order model. The problem is reduced then to selecting the true model, using the well known multi-model partitioning theory. Simulations illustrate that the proposed method is selecting the correct model order and identifies the time varying model parameters in real time, while it is insensitive to the noise variations.
Web developers have been concerned with the issues of Web latency and Web data consistency for many years. These issues have become more important in our days since the accurate and imminent dissemination of informati...
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Web developers have been concerned with the issues of Web latency and Web data consistency for many years. These issues have become more important in our days since the accurate and imminent dissemination of information is vital to businesses and individuals that rely on the Web. In this paper, we evaluate different run-time management policies against real Web site data. We first define the meaning of data intensive Web sites and categorize them according to their hit patterns. Our research relies on real world Web data collected from various popular Web sites and proxy log files. We propose a Web site run-time management policy that may apply to various real Web site hit patterns and Web data update frequencies.
We study the problem of allocating optical bandwidth to sets of communication requests in all-optical networks that utilize Wavelength Division Multiplexing (WDM). WDM technology establishes communication between pair...
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In this paper we address an important communication issue arising in cellular (mobile) networks that utilize Frequency Division Multiplexing (FDM) technology. In such networks, many users within the same geographical ...
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