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Hongmin WANG,Haixia ZHENG,Yaowen ZHANG,Xianhong ZHANG 한국곤충학회 2018 Entomological Research Vol.48 No.6
Callosobruchus chinensis (Coleoptera: Bruchidae) is the main pest of mungbean (Vigna radiata) especially during seed storage. To provide background information for chemical ecology studies, we examined the externalmorphology of the antennal, maxillary palp and labial palp sensilla of this insect with scanning electron microscopy. The antennae of adult C. chinensis exhibited sexual dimorphism. The female have serrated antenna and the male have pectinate morphology. Eight sensillum types have been observed on the antennae of both sexes: Böhm bristles, sensilla chaetica, sensilla trichodea, sensilla basiconica, sensilla styloconicum, sensilla coeloconica, sensillum campaniformia, sensilla cavity. There are no differences on the morphology of maxillary palp and labial palp between female and male. Four different types of sensilla are present on the labial and maxillary palps of both sexes of C. chinensis: sensilla chaetica, sensilla twig basiconica, sensilla basiconica, sensilla digitiformia.
Xiuling Bai,Mingchuan Zhang,Qingtao Wu,Ruijuan Zheng,Haixia Zhao,Wangyang Wei 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.6
Due to various reasons, there are generally missing data in datasets. Usually the missing data in these incomplete datasets need to be filled. In this paper, the drawbacks of some existing data filling approaches for incomplete information systems are analyzed based on Rough Set theory. Several similarity relation models are discussed and the Valued Limited Tolerance Relation model is proposed. A data filling algorithm based on the Valued Limited Tolerance Relation model is put forward. This approach makes full use of the similarity of objects and selects the object which is the most similar to the incomplete object. More missing data can be filled scientifically. The experimental results show that this approach is effective.