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Although numerous loop optimization techniques have been designed and deployed in commercial compilers in the past, virtually no common experimental infrastructure nor repository exists to help the compiler community evaluate the effectiveness of these techniques. This paper describes a repository, LORE, that maintains a large number of C language for loop nests extracted from popular benchmarks,...
Course Management System (CMS) is web-based system which is designed to simplify, streamline, and automate many aspects of the course's management. But, traditional CMS has some problems in helping teachers gathering students' information. In this paper, we have designed a framework of association rules application called ARMOCMS, and implemented the prototype on Moodle platform, which is a popular...
In document-driven DSS, the decisions are both based on the inheritance among the documents and the acceptance of advices for users. Research in the field of DSS has shown that providing explanations may improve acceptance of decision makers. The most important part of explanations in document-driven DSS lies in tracing the contents and the classification of interrelated documents. But current document-driven...
Web search engine is very a useful information retrieval tool on the Internet, but due to that a very large amount of information is retrieved from the search engine, and the search results are not classified and displayed out of order, it is difficult for the users to get accurate navigation information. This paper presents a new framework for web search engine, which is based on distributed semantic...
Multipath Routing plays an important role in communication networks. Multiple disjoint paths can increase the effective bandwidth between pairs of vertices, avoid congestion in a network and reduce the probability of dropped packets. In this paper, we built mathematical models for arc-disjoint paths problem and vertex-disjoint paths problem respectively, and then proposed polynomial algorithms for...
The model of a novel drug delivery device of gastrointestinal microcapsule in a gas pressure driving way is proposed. The model experiments have been carried out to investigate into the main factors impacting on the performance of capsule, such as ultrasonic frequency, the relationship between the quantity and reaction time of the selected reactants, the relationship between the carried drug capacity...
In view of unclear structure features and poor system for current fuzziness metric, we proposed a kind of FoplusS fuzziness metric model containing the existing metric methods by combining fuzziness feature function with fuzziness synthesizing operator; we also give the quantitative structural model of fuzziness feature function based on quasi-linear fuzzy function and the synthesizing operator structural...
Recent research shows that the node energy in WSNs can be significantly saved by integrating mobile BS into the network, which is capable of collecting data from sensor nodes. However, the mobile BS may aggravate the latency problem of the network, and thus hinder its use. Rendezvous points are a subset of nodes that buffer data from other sensor nodes, and transfer the buffered data to mobile BS...
Surface acoustic wave (SAW) resonator gas sensors have been applied in many fields for the advantages of high Q-value and low insertion loss, but seldom used in chemical warfare agents detection. In this paper, a novel SAW gas sensor with high Q-value for mustard gas (HD, a blister agent) detection was developed. The sensor was a two-port SAW resonator device using polished ST-quartz substrates with...
The association rule mining aims at the relationships between the items of the transaction data. Because the transaction data often has characteristics of time stamps, the support value and the confidence value of a certain rule are not quite the same in different periods of time. It is of great help to do further study and make a strategic decision to set up a Meta-association rule for the association...
Query recommendation is a technique that provides better queries to help users to get the needed documents when the original query submitted by the user may be insufficient or imprecise to retrieve those. In this paper a novel method for query recommendation is proposed. It is different from traditional methods in two aspects: (1) it breaks URLs into independent tokens and uses a TF-IQF model to present...
The mining of association rules mainly aims at the strong association rules, but lacks of efficient methods to mine the rules within the item sets that occur not much frequently. With the separation of the items by their time property, this paper discusses a new method of mining the lightly-supported Boolean association rules.
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