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dc.contributor.authorZheng, Ji-Hongen_US
dc.contributor.authorHu, Chia-Yunen_US
dc.contributor.authorWu, I-Chenen_US
dc.contributor.authorTseng, Wen-Jieen_US
dc.contributor.authorWei, Ching-Hsuanen_US
dc.contributor.authorLin, Hung-Hsuanen_US
dc.contributor.authorChang, Chieh-Minen_US
dc.contributor.authorKang, Hao-Huaen_US
dc.contributor.authorLin, Hsiu-Chuanen_US
dc.date.accessioned2014-12-08T15:29:04Z-
dc.date.available2014-12-08T15:29:04Z-
dc.date.issued2012en_US
dc.identifier.isbn978-0-7695-4919-4en_US
dc.identifier.urihttp://hdl.handle.net/11536/20965-
dc.identifier.urihttp://dx.doi.org/10.1109/TAAI.2012.47en_US
dc.description.abstractIn this demonstration, we port our current Connect6 program, NCTU6, to mobile devices, such as iOS devices, Android devices. However, computing powers of mobile devices are also relatively weaker when compared with high-end machines. For example, the CPU speeds of mobile devices are about 1/5 to 1/8 of those of desktops; and the memory of mobile devices is usually limited to several megabytes. In this demonstration, we tune the program NCTU6 to fit in mobile devices, while maintaining reasonable strength. The program also won the silver medal in TCGA 2012. In addition, we also support Connect6 puzzles in the program.en_US
dc.language.isoen_USen_US
dc.subjectConnect6en_US
dc.subjectmobileen_US
dc.subjectNCTU6en_US
dc.subjectiOSen_US
dc.subjectAndroiden_US
dc.titleConnect6 Programs on Mobile Devicesen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/TAAI.2012.47en_US
dc.identifier.journal2012 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI)en_US
dc.citation.spage304en_US
dc.citation.epage307en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000313560200049-
Appears in Collections:Conferences Paper


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