Classification and clustering are frequently-used methods in data excavation technology. This paper introduces the idea of text clustering into the categorization algorithm study. The authors also attempt to use the t...
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ISBN:
(纸本)9781424463886;9780769539874
Classification and clustering are frequently-used methods in data excavation technology. This paper introduces the idea of text clustering into the categorization algorithm study. The authors also attempt to use the text categorization pattern of self'-initiated learning to design a clustering-based text categorization algorithm, in the purpose of reducing the dimension of training set and raising the efficiency of categorization implement. A series of experiments prove that this algorithm can greatly raise the efficiency while slightly reducing the accuracy of categorization, and then balance the contradiction between them.
To remove the redundant features extracted by using 2DPCA methods, a face recognition method is presented based on 2DPCA and fuzzy-rough technique in this paper. The proposed method selects the important features for ...
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Linux kernel semaphore mechanism is an effective means of synchronizing tasks which compete against each other to enter the same kernel critical section. However, the problem of priority inversion in Linux kernel sema...
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Linux kernel semaphore mechanism is an effective means of synchronizing tasks which compete against each other to enter the same kernel critical section. However, the problem of priority inversion in Linux kernel semaphore is still unsolved. It is very important to solve the problem of priority inversion by means of priority inheritance when applying Linux in real-time embedded system. Based on the analysis of the Linux source codes about kernel semaphore operation, this paper realizes the base priority inheritance protocol by modifying the Linux kernel.
This paper describes the implementation of an educational Massively Multiplayer Online Role-Playing Game (MMORPG), named World of Wisdom (WoW). WoW is designed under the context of game design theory and game features...
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This paper describes the implementation of an educational Massively Multiplayer Online Role-Playing Game (MMORPG), named World of Wisdom (WoW). WoW is designed under the context of game design theory and game features extracted from surveys of popular MMORPGs. It is an open educational platform where students can “play exercises” instead doing them in the traditional paper way. Further, it provides an editor for teachers to create new game plots and content without the need of programming. As an aid for lectures, WoW can motivate the students to do the exercises more thoroughly. Finally, the paper presents both positive and negative experiences from the design and implementation of the game. We find that there are various theories that can benefit the design of educational MMORPGs. However, the key problem is how to choose and apply relevant theory to support the design, our experiences in the paper are examples that explore and explain this problem.
To remove the redundant features extracted by using 2DPCA methods, a face recognition method is presented based on 2DPCA and fuzzy-rough technique in this paper. The proposed method selects the important features for ...
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To remove the redundant features extracted by using 2DPCA methods, a face recognition method is presented based on 2DPCA and fuzzy-rough technique in this paper. The proposed method selects the important features for classification by using attribute reduction in fuzzy rough sets theory. The experimental results show the proposed method outperforms the face recognition methods based on 2DPCA.
With the popularity of Extensible Markup Language (XML) as the new standard of data exchange on the web, a large number of data sources are represented or encoded in XML format. Therefore, querying and searching XML d...
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With the popularity of Extensible Markup Language (XML) as the new standard of data exchange on the web, a large number of data sources are represented or encoded in XML format. Therefore, querying and searching XML data on the web has attracted much attention in the database literature. The new emerging Peer-to-Peer (P2P) computing model has fueled the autonomous data sharing over the Internet in a more flexible fashion. Needless to say, XML data retrieval in P2P systems has become attractive to professionals in both research and industrial communities. In this paper, we propose a Bloom-Filter based keyword search framework for XML data retrieval in structured P2P systems. We designed an efficient Bloom-Filter based XML indexing scheme for XML data retrieval in structured P2P systems. We also developed an effective keyword search algorithm over our Bloom-Filter encoded XML indexes. The experimental results demonstrate that our novel indexing scheme is much more efficient compared to the traditional full-indexing scheme, our keyword search algorithm is efficient in terms of query response time, and our system is scalable in terms of data size and network size.
Elevator traffic systems are the main vertical transportation facilities in high-rise buildings which play a vital role in modern life. A well-designed elevator traffic system should provide passengers with both suffi...
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Elevator traffic systems are the main vertical transportation facilities in high-rise buildings which play a vital role in modern life. A well-designed elevator traffic system should provide passengers with both sufficient quantity and satisfactory quality of service. Considering that the classical elevator traffic planning theory focuses, mainly, on the quantity of service, ignoring the quality of service, a simulation based verification method for elevator traffic planning is proposed, in which the object oriented discrete event driven technique, based on an improved multi-server batch service queuing discipline, is employed to describe the dynamic behaviors of both passengers and elevators to evaluate the service level of elevator traffic system. The initial configuring results by the classical calculation model are adjusted on simulation to meet both the expected passenger handling capacities and the expected service level. The proposed method perfects the classical elevator traffic planning theory which shows better results than the classical methods.
Uncertainty in data is caused by various reasons such as data generated and transmitted in sensor networks, data mapping in uncertain data integrating environments, and data in some specific applications considering p...
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Uncertainty in data is caused by various reasons such as data generated and transmitted in sensor networks, data mapping in uncertain data integrating environments, and data in some specific applications considering privacy and confidentiality, etc. To describe the uncertainty in data, probabilistic approaches are widely used among other approaches. This paper gives a survey study on some probabilistic approaches in database fields as well as in semi-structured datasets, especially in XML datasets.
Reverse Mobile Commerce Platform is an innovative e-commerce mode that reverses the traditional business process of e-commerce. Commodities traded on such platform are invisible information such as certain public idea...
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