A pressing technique has become available that might be useful for compressing granular explosives. If the height diameter ratio of the charge is unfavorable,the high quality charge can not be obtained with the common...A pressing technique has become available that might be useful for compressing granular explosives. If the height diameter ratio of the charge is unfavorable,the high quality charge can not be obtained with the common single action pressing. This paper presents incremental pressing technique, which can obtain the charge with higher overall density and more uniform density.展开更多
In order to improve the efficiency of ontology construction from heterogeneous knowledge sources, a semantic-based approach is presented. The ontology will be constructed with the application of cluster technique in a...In order to improve the efficiency of ontology construction from heterogeneous knowledge sources, a semantic-based approach is presented. The ontology will be constructed with the application of cluster technique in an incremental way. Firstly, terms will be extracted from knowledge sources and congregate a term set after pretreat-ment. Then the concept set will be built via semantic-based clustering according to semanteme of terms provided by WordNet. Next, a concept tree is constructed in terms of mapping rules between semant^me relationships and concept relationships. The semi-automatic approach can avoid non-consistence due to knowledge engineers having different understanding of the same concept and the obtained ontology is easily to be expanded.展开更多
文摘A pressing technique has become available that might be useful for compressing granular explosives. If the height diameter ratio of the charge is unfavorable,the high quality charge can not be obtained with the common single action pressing. This paper presents incremental pressing technique, which can obtain the charge with higher overall density and more uniform density.
文摘In order to improve the efficiency of ontology construction from heterogeneous knowledge sources, a semantic-based approach is presented. The ontology will be constructed with the application of cluster technique in an incremental way. Firstly, terms will be extracted from knowledge sources and congregate a term set after pretreat-ment. Then the concept set will be built via semantic-based clustering according to semanteme of terms provided by WordNet. Next, a concept tree is constructed in terms of mapping rules between semant^me relationships and concept relationships. The semi-automatic approach can avoid non-consistence due to knowledge engineers having different understanding of the same concept and the obtained ontology is easily to be expanded.