5,890 research outputs found

    Determining the specificity of terms using inside-outside information: a necessary condition of term hierarchy mining

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    Received 15 November 2004; received in revised form 13 November 2005; accepted 30 November 2005 Available online 11 July 2006This paper introduces new specificity measuring methods of terms using inside and outside information. Specificity of a term is the quantity of domain specific information contained in the term. Specific terms have a larger quantity of domain information than general terms. Specificity is an important necessary condition for building hierarchical relations among terms. If t(1) is a hyponym of t(2) in a domain term hierarchy, then the specificity of t(1) is greater than that of t(2). As domain specific terms are commonly compounds of the generic level term and some modifiers, inside information is important to represent the meaning of terms. Outside contextual information is also used to complement the shortcomings of inside information. We propose an information theoretic method to measure the quantity of terms. Experiments showed promising results with a precision of 73.9% when applied to terms in the MeSH thesaurus. (c) 2006 Published by Elsevier B.V

    EventHandler-Based Analysis Framework for Web Apps Using Dynamically Collected States

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    JavaScript web applications (apps) are prevalent these days, and quality assurance of web apps gets even more important. Even though researchers have studied various analysis techniques and software industries have developed code analyzers for their own code repositories, statically analyzing web apps in a sound and scalable manner is challenging. On top of dynamic features of JavaScript, abundant execution flows triggered by user events make a sound static analysis difficult. In this paper, we propose a novel EventHandler (EH)-based static analysis for web apps using dynamically collected state information. Unlike traditional whole-program analyses, the EH-based analysis intentionally analyzes partial execution flows using concrete user events. Such analyses surely miss execution flows in the entire program, but they analyze less infeasible flows reporting less false positives. Moreover, they can finish analyzing partial flows of web apps that whole-program analyses often fail to finish analyzing, and produce partial bug reports. Our experimental results show that the EH-based analysis improves the precision dramatically compared with a state-of-the-art JavaScript whole-program analyzer, and it can finish analysis of partial execution flows in web apps that the whole-program analyzer fails to analyze within a timeout

    Performance and Scalability Analysis of SDN-Based Large-Scale Wi-Fi Networks

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    The Software-Defined Networking (SDN) paradigm is one that is utilized frequently in data centers. Software-Defined Wireless Networking, often known as SDWN, refers to an environment in which concepts from SDN are implemented in wireless networks. The SDWN is struggling with challenges of scalability and performance as a result of the growing number of wireless networks in its coverage area. It is thought that SDN techniques, such as Mininet-Wi-Fi and Ryu Controller for wireless networks, can overcome the problems with scalability and performance. Existing Wi-Fi systems do not provide SDN execution to end clients, which is one reason why the capability of Wi-Fi is restricted on SDN architecture. Within the scope of this study, we analyzed Wi-Fi networks operating on SDN using the Transmission Control Protocol (TCP) and User Datagram Protocol (UDP). By utilizing a testbed consisting of Ryu Controller and Mininet-Wi-Fi, we were able to test Wi-Fi over SDN and evaluate its performance in addition to its scalability. When evaluating the performance of a network, we take into account a number of different metrics, such as bandwidth, round-trip time, and jitter. In order to assess the level of performance, the SDN-based Wi-Fi controller Ryu is linked to an increasing number of access points (1, 2, 3, and 4) as well as stations (10, 30, 50, and 100). The experimental findings obtained using Mininet-Wi-Fi indicate the scalability and dependability of the network performance provided by the SDN Wi-Fi network controller Ryu in an SDN environment. In addition, the round-trip time for TCP packets grows proportionally with the number of hops involved. A single access point is capable of simultaneously supporting up to fifty people at once

    Determining the Specificity of Terms based on Information Theoretic Measures

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    This paper introduces new specificity determining methods for terms based on information theoretic measures. The specificity of terms represents the quantity of domain specific information that is contained in the terms. Compositional and contextual information of terms are used in proposed methods. As the methods don’t rely on domain dependent information, they can be applied to other domains without extra processes. Experiments showed very promising results with the precision 82.0% when applied to the terms in MeSH thesaurus
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