This paper develops a wavelet based distributed ID model approach to analyses network traffic in detail. We adopt wavelet technique to analyze and model ID system to find the attack behavior in network. Our model can ...
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This paper develops a wavelet based distributed ID model approach to analyses network traffic in detail. We adopt wavelet technique to analyze and model ID system to find the attack behavior in network. Our model can post attack characteristic more clearly and, by way of improve the veracity, we compare corresponding network node signals of wavelet decomposition. We simulate attacks and the model can detect attack more precisely than the previous model does.
This paper presents novel algorithm for mining frequent itemsets in sparse database, compared with existing algorithm our algorithm has visible advantage. With this algorithm, the scans is less in transaction database...
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This paper presents novel algorithm for mining frequent itemsets in sparse database, compared with existing algorithm our algorithm has visible advantage. With this algorithm, the scans is less in transaction database, only one time in little and middle transaction database, and not more than two times in large database. In the algorithm, when the transaction database is scanned, the transaction items are saved in unit triplet, and the count of every transaction item is saved in 1-dimension array so that the frequent itemsets are generated in memory. So I/O spending is reduced greatly. The experimental results show that our algorithm is very promising.
Monitoring of relevant performance indicators can greatly contribute to the success of a logistics service provider. In practice, however, this is often done in an ad-hoc manner, leaving huge potential for improvement...
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Monitoring of relevant performance indicators can greatly contribute to the success of a logistics service provider. In practice, however, this is often done in an ad-hoc manner, leaving huge potential for improvement through adequate IT support. This paper proposes an approach to build an agent-based information system with emphasis on the interaction between the operational and strategic goals of the company. We present an example of the applied approach for the context of schedule generation and selection.
The growing complexity of MEMS devices and their increased used in embedded systems (e.g., wireless integrated sensor networks) demands a disciplined approach for MEMS design as well as the development of techniques f...
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The growing complexity of MEMS devices and their increased used in embedded systems (e.g., wireless integrated sensor networks) demands a disciplined approach for MEMS design as well as the development of techniques for system-level modeling of these devices so that a seamless integration with the existing embedded system design methodologies is possible. In this paper, we present a MEMS design methodology that uses VHDL-AMS based system-level model of a MEMS device as a starting point and combines the top-down and bottom-up design approaches for design, verification, and optimization. The capabilities of our proposed design methodology are illustrated through the design of a microaccelerometer
In this paper, an efficient architecture for multiplicative inversion in GF(2/sup m/) using addition chains is presented. The approach followed was based on the Itoh-Tsujii algorithm targeting a fast implementation on...
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In this paper, an efficient architecture for multiplicative inversion in GF(2/sup m/) using addition chains is presented. The approach followed was based on the Itoh-Tsujii algorithm targeting a fast implementation on reconfigurable hardware devices. We give the design details of the proposed architecture whose main building blocks are a field multi-squarer block, a field polynomial multiplier and a BRAM two-port memory. Our design is able to compute multiplicative inversion in GF(2/sup 193/) in about 1.33/spl mu/S using only 27 clock cycles.
Prediction of the secondary structure of a protein from its aminoacid sequence remains an important and difficult task. Up to this moment, three generations of Protein Secondary Structure Algorithms have been defined:...
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Adaptation is one of the necessary capabilities of any expert system. In a traditional expert system, the evolving environment is often treated in a static view. And the system accepts the change negatively. Our focus...
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ISBN:
(纸本)0780386531
Adaptation is one of the necessary capabilities of any expert system. In a traditional expert system, the evolving environment is often treated in a static view. And the system accepts the change negatively. Our focus in this paper is to construct an adaptive CBR model which can learn continually through detecting feedbacks from the outside to partially release this. Knowledge base here is improved gradually so to enhance the system's adaptation of solving problems in dynamic environment.
In this paper, we present a novel graph-oriented approach for architecting and modeling CORBA-based distributed applications. It provides higher-level abstractions for the architecture description of CORBA-based distr...
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In this paper, self-organizing maps (SOM) with growing capability are proposed to evaluate the goodness of multispectral training areas selection that would be used in supervised classification processes. The SOM mode...
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In this paper, self-organizing maps (SOM) with growing capability are proposed to evaluate the goodness of multispectral training areas selection that would be used in supervised classification processes. The SOM model used in this study is the Growing Cell Structures (GCS) neural network. Some modifications of the original GCS training algorithm are proposed in order to make easy the physical interpretation of their parameters. In addition, several visualization methods have been implemented with the aim of displaying the trained GCS networks. The performances of the modified GCS model have been investigated through a large number of experiments. They have been carried out using multispectral data registered by ETM+ sensor (Landsat 7), to discriminate land cover categories. The results confirm the excellent behavior of the GCS modified training algorithm to evaluate the quality of the selected training patterns, their viability for feeding supervised classification models and their refining.
Adaptation is one of the necessary capabilities of any expert system. In a traditional expert system, the evolving environment is often treated in a static view. And the system accepts the change negatively. Our focus...
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ISBN:
(纸本)0780386531
Adaptation is one of the necessary capabilities of any expert system. In a traditional expert system, the evolving environment is often treated in a static view. And the system accepts the change negatively. Our focus in this paper is to construct an adaptive CBR model which can learn continually through detecting feedbacks from the outside to partially release this. Knowledge base here is improved gradually so to enhance the system's adaptation of solving problems in dynamic environment.
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