This paper addresses the problem of establishing stability of interconnections of integral input-to-state stable (iISS) systems. Recently, the small-gain theorem for input-to-state stable (ISS) systems has been extend...
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ISBN:
(纸本)9781424477456
This paper addresses the problem of establishing stability of interconnections of integral input-to-state stable (iISS) systems. Recently, the small-gain theorem for input-to-state stable (ISS) systems has been extended to the class of iISS systems. It has been also proved that at least one of the two iISS subsystems comprising a feedback interconnection needs to be ISS with respect to the state of the other subsystem for guaranteeing the iISS of the overall system. This paper shows that making use of this necessary condition enables to provide more insight on the iISS small gain theorem by giving an alternative proof of this result from the perspective of transient plus ISS small-gain regulation.
Distributed Virtual Environment systems simulate the behaviour and activities of a great number of concurrent users interacting in a virtual world over a wide area network. The advances both in computertechnology and...
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Distributed Virtual Environment systems simulate the behaviour and activities of a great number of concurrent users interacting in a virtual world over a wide area network. The advances both in computertechnology and networking infrastructures in combination to the advanced applications and services developed, expanded the popularity of DVEs and promoted their use in a wide range of areas, such as learning and training, collaborative work, military applications and multiplayer online games. The sizes of the virtual worlds simulated and the tremendous number of users that DVEs are called to support require additional bandwidth and computational resources. For handling these growing requirements a lot of work has been done both to the direction of alternative architectural solutions as well as to techniques and algorithms for handling and overcoming the limitations of these environments. However, recent research has shown that one of the major limitations of networked servers DVE systems is scalability. To this direction this paper presents on the one hand a dynamic approach for DVEs, which exploits the nature of these systems for the optimal resource management and extended scalability support and on the other hand, evaluates its performance through a series of experiments and under various settings of the virtual world, using Simul8 simulation tool.
We present the conceptual basis and the initial planning for an open source management architecture for wireless sensor networks (WSN). Although there is an abundance of open source tools serving the administrative ne...
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ISBN:
(纸本)9781424443277
We present the conceptual basis and the initial planning for an open source management architecture for wireless sensor networks (WSN). Although there is an abundance of open source tools serving the administrative needs of WSN deployments, there is a lack of tools or platforms for high level integrated WSN management. This is because of a variety of factors, including the lack of open source management tools, the immaturity of tools that offer manageability for WSNs, the limited high level management capabilities of sensor devices and architectures, and the lack of standardization. The current work is, to our knowledge, the first effort to conceptualize, formalize and design a remote, integrated management platform for the support of WSN research laboratories. The platform is based on the integration and extension of two innovative platforms: jWebDust, a WSN operation and management platform, and OpenRSM, an open source integrated remote systems and network management platform. The proposed system architecture can support several levels of integration (infrastructure management, functionality integration, firmware management), corresponding to different use-cases and application settings.
News portals based on the RSS protocol are becoming nowadays one of the dominant ways that Internet users follow in order to locate the information they are looking for. Search engines, which operate at the back-end o...
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Algorithms used in data mining and bioinformatics have to deal with huge amount of data efficiently. In many applications, the data are supposed to have explicit or implicit structures. To develop efficient algorithms...
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Algorithms used in data mining and bioinformatics have to deal with huge amount of data efficiently. In many applications, the data are supposed to have explicit or implicit structures. To develop efficient algorithms for such data, we have to propose possible structure models and test if the models are feasible. Hence, it is important to make a compact model for structured data, and enumerate all instances efficiently. There are few graph classes besides trees that can be used for a model. In this paper, we investigate distance-hereditary graphs. This class of graphs consists of isometric graphs and hence contains trees and cographs. First, a canonical and compact tree representation of the class is proposed. The tree representation can be constructed in linear time by using prefix trees. Usually, prefix trees are used to maintain a set of strings. In our algorithm, the prefix trees are used to maintain the neighborhood of vertices, which is a new approach unlike the lexicographically breadth-first search used in other studies. Based on the canonical tree representation, efficient algorithms for the distance-hereditary graphs are proposed, including linear time algorithms for graph recognition and graph isomorphism and an efficient enumeration algorithm. An efficient coding for the tree representation is also presented; it requires [3.59n] bits for a distance-hereditary graph of n vertices and 3n bits for a cograph. The results of coding improve previously known upper bounds (both are 2^O(nlogn)) of the number of distance-hereditary graphs and cographs to 2^[3.59n] and 2^3n, respectively.
Two pandemic simulation approaches are known: the MAS and the SEIR. The MAS can deal with detailed simulations under a variety of initial and boundary conditions with standard social network models;however, the comput...
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Two pandemic simulation approaches are known: the MAS and the SEIR. The MAS can deal with detailed simulations under a variety of initial and boundary conditions with standard social network models;however, the computing cost is high. The SEIR can quickly deal with simulations for homogeneous populations with simultaneous ordinary differential equations and a few parameters;however, it lacks versatility in its use. We propose a new method, the MADE, combining these two methods, such that we use the MAS in the early stage in a simulation to determine the parameters that can be used in the SEIR, and then use the SEIR in the subsequent stage. With this method, we may deal with pandemic simulations for real social structures with lower computing costs. Using this new model, we show the swine influenza A (H1N1) simulation results as well as the actual observed cases.
The experiments aimed to compare data driven models for the valuation of residential premises were conducted using KEEL (Knowledge Extraction based on Evolutionary Learning) system. Twelve different regression algorit...
The experiments aimed to compare data driven models for the valuation of residential premises were conducted using KEEL (Knowledge Extraction based on Evolutionary Learning) system. Twelve different regression algorithms were applied to an actual data set derived from the cadastral system and the registry of real estate transactions. The 10-fold cross validation and statistical tests were applied. The lowest values of MSE provided models constructed and optimized by means of support vector machine, artificial neural network, decision trees for regression and quadratic regression, however differences between them were not statistically significant. Worse performance revealed algorithms employing evolutionary fuzzy rule learning. The experiments confirmed the usefulness of KEEL as a powerful tool with its numerous evolutionary algorithms together with classical learning approaches to carry out laborious investigation on a practical problem in a relatively short time.
Semantic wikis have been regarded as a collaborative knowledge management system which can provide an efficient framework to foster social interactions and collaborations between online people synchronously. However, ...
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Distributed Virtual Environment systems simulate the behaviour and activities of a great number of users interacting in a virtual world over a wide area network. The sizes of the virtual worlds and the tremendous numb...
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ISBN:
(纸本)9789639799455
Distributed Virtual Environment systems simulate the behaviour and activities of a great number of users interacting in a virtual world over a wide area network. The sizes of the virtual worlds and the tremendous number of users that DVEs are called to support require additional bandwidth and computational resources. For handling these growing requirements a lot of work has been done both to the direction of alternative architectural solutions as well as to techniques and algorithms for handling the limitations of these environments. For supporting large-scale DVEs, extended infrastructure is needed in terms of both hardware and software. However, both researchers and application designers do not always have access to such extended infrastructure and the assessment and evaluation of developed techniques becomes extremely difficult. To this direction, this paper presents a simulation modelling tool for networked servers DVEs that could be used by designers for simulating the performance of their approaches under different scenarios.
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