In this paper, a SVM-based online learning algorithm is proposed and applied to the problem of web prediction. A method to construct an Online LS-SVM multi-class Learning Model has been presented. This method is able ...
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This paper presents a performance evaluation of the interactions between local sequential processes running on behalf of interactive applications and parallel processes running as part of parallel applications on a no...
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It is crucial for highly security-critical information systems to accurately control the disaster recovery activities. Using optimization theory, we present a disaster recovery planning mathematical model. The model u...
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Complicated information system (CIS) contains many inhomogeneous applications which require security, interoperability, extensibility. The paper presents a secure CIS architecture model to conduct the construction or ...
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This paper describes a case study on adopting TIPS pedagogy in a general physics course. The TIPS pedagogy is reviewed with ARCS model on how to motivate students by technologies, such as network and IrDA devices. Thi...
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Detection of salient regions in images is useful for object based image retrieval and browsing applications. This task can be done using methods based on the human visual attention model [1], where feature maps corres...
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With the help of Mobile IP/IPv6, on-going TCP sessions can remain active when the mobile node hands over from one network to another. In particular, in a soft vertical handoff, packet loss due to the switching of netw...
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ISBN:
(纸本)0769522491
With the help of Mobile IP/IPv6, on-going TCP sessions can remain active when the mobile node hands over from one network to another. In particular, in a soft vertical handoff, packet loss due to the switching of networks can be avoided. However, TCP still faces several performance degradation issues due to the change of network bandwidth and propagation delay. During vertical handoff, some undesirable phenomenon may erroneously trigger TCP congestion control operations and thus degrade the TCP performance. In this paper, we study the TCP behaviors during soft vertical handoff from fast link to slow link. In particular, we focus on TCP timeout problem caused by increased network round-trip time, and propose three schemes (fast response, slow response and ACK delaying) to solve this problem. These schemes require only minor modifications on network layer of the end hosts, without any change on TCP and intermediate network routers. Simulation results show that these schemes can effectively improve the TCP performance during soft vertical handoff.
In this paper, we present a new classification scheme based on support vector machines (SVM) and a new texture feature, called texture correlogram, for high-level image classification. Originally, SVM classifier is de...
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In this paper, we present a new classification scheme based on support vector machines (SVM) and a new texture feature, called texture correlogram, for high-level image classification. Originally, SVM classifier is designed for solving only binary classification problem. In order to deal with multiple classes, we present a new method to dynamically build up a hierarchical structure from the training dataset. The texture correlogram is designed to capture spatial distribution information. Experimental results demonstrate that the proposed classification scheme and texture feature are effective for high-level image classification task and the proposed classification scheme is more efficient than the other schemes while achieving almost the same classification accuracy. Another advantage of the proposed scheme is that the underlying hierarchical structure of the SVM classification tree manifests the interclass relationships among different classes.
In this paper, we present a method of semantic knowledge building for image database by extracting semantic meanings from Web page contents. The novelty of our method is that it is able to effectively extract media wi...
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In this paper, we present a method of semantic knowledge building for image database by extracting semantic meanings from Web page contents. The novelty of our method is that it is able to effectively extract media with a high degree of relevancy to a specific topic by incorporating word similarity and ontologies. The method is implemented in our Web image crawler and analysis system (WICAS). The system downloads Web pages and media automatically and further analyzes the semantic meanings of page contents to build up semantic knowledge for media entities. Subsequently, our system accepts high-level query terms and returns relevant media efficiently. Our experiment results show that with this new method of high-level content abstraction, media retrieval accuracy can be improved tremendously over traditional methods
With the industry's efforts in promoting the use of Web services, a huge number of Web services are being developed for the Web. To improve the service provider's competition advantage, it is necessary to supp...
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With the industry's efforts in promoting the use of Web services, a huge number of Web services are being developed for the Web. To improve the service provider's competition advantage, it is necessary to support QoS-aware service discovery mechanism as well as the corresponding measurement system. In this paper we present a QoS measurement framework based on the DAML-QoS ontology, together with the measurement code generator. The DAML-QoS ontology is designed to specify QoS constraints for Web services. It works as a complement to DAML-S to provide QoS-aware service discovery. This paper focuses on its measurement framework to check the service provider's runtime compliance with the advertised service level. The code generator helps to generate the measurement code according to the DAML-QoS specification. This ontology level specification tries to reduce the service's integration complexity and achieve better interoperability, automation and extensibility
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