数字书法 |
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云端结合的书法大数据平台 |
杨颐1, 李国清1, 王健1,2, 王海军1, 翟翊辰1, 黄卫星1,2 |
1.中国科学院 自动化研究所,北京 100190 2.中科君胜(深圳)智能数据科技发展有限公司,广东深圳 518000 |
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O2O service-based Chinese calligraphy big data platform |
YANG Yi1, LI Guoqing1, WANG Jian1,2, WANG Haijun1, ZHAI Yichen1, HUANG Weixing1,2 |
1.Institute of Automation Chinese Academy of Sciences, Beijing 100190, China 2.CASIA-Junsheng (Shenzhen) Intelligent & Big Data Sci-Tech Development Ltd, Shenzhen 518000, Guangdong Province, China |
引用本文:
杨颐, 李国清, 王健, 王海军, 翟翊辰, 黄卫星. 云端结合的书法大数据平台[J]. 浙江大学学报(理学版), 2020, 47(4): 397-407.
YANG Yi, LI Guoqing, WANG Jian, WANG Haijun, ZHAI Yichen, HUANG Weixing. O2O service-based Chinese calligraphy big data platform. Journal of Zhejiang University (Science Edition), 2020, 47(4): 397-407.
链接本文:
https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2020.04.002
或
https://www.zjujournals.com/sci/CN/Y2020/V47/I4/397
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1 SHVACHKO K, RONG K H,RADIA S, et al . The Hadoop distributed file system: Mass storage systems and technologies (MSST)[C]// 2010 IEEE 26th Symposium. Incline Village, NV: IEEE, 2010:1-10. DOI: 10.1109/MSST.2010.5496972 . 2 ZAHARIA M, CHOWDHURY M, FRANKLIN M J, et al . Spark: Cluster computing with working sets[C]//Proceeding Hotcloud’10 Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing. Berkeley: USENIX Association,2010:10. 3 ZHANG G G, WANG J, HUANG W X . A study of Chinese character culture big data platform[C]// 2015 International Conference on Cloud Computing and Big Data (CCBD). Shanghai: IEEE Computer Society, 2015:161-168. DOI: 10.1109/CCBD.2015.18 . 4 杨颐,张桂刚,王健,等 .基于云计算的汉字文化数字化平台的架构研究[J]. 计算机科学,2016(7): 28-34. DOI: 10.11896/j.issn.1002-137X.2016.7.004 . YANG . Y, ZHANG G G, WANG J, et al . Cloud computing architecture of Chinese character culture digitization system [J]. Computer Science,2016(7): 28-34. DOI: 10.11896/j.issn.1002-137X.2016.7.004 . 5 YANG Y, ZHANG G G, WANG J, et al . Integrated recommendation for public cultural service[C]// 2017 IEEE Third International Conference on Multimedia Big Data (BigMM) . Laguna Hills, CA:IEEE, 2017: 46-49. DOI: 10.1109/BigMM.2017.21 . 6 YE S F, YANG Y, HUANG W X, et al . Public cultural services recommendation system architecture[C]// 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C).Prague: IEEE, 2017: 404-409. DOI: 10.1109/QRS-C.2017.73 . 7 ZHAI X S, JIN F, WANG J . A kind of precision recommendation method for massive public digital cultural resources: A preliminary report[C]// 2016 IEEE Second International Conference on Multimedia Big Data (BigMM). Taipei: IEEE, 2016:56-59. DOI: 10.1109/BigMM.2016.46 . 8 YE S F, YANG Y, HUANG W X, et al . Personalized recommended system for digital cultural resources[C]//2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C). Lisbon: IEEE, 2018: 559-565. DOI: 10.1109/qrs-c.2018.00099 . 9 YANG Y, ZHANG G G, WANG J, et al . Public cultural knowledge graph platform[C]// 2017 IEEE 11th International Conference on Semantic Computing (ICSC). San Diego: IEEE, 2017: 322-327. DOI: 10.1109/ICSC.2017.37 . 10 中科君胜(深圳)智能数据发展有限公司 . 中科智能书法台[EB/OL]. [2019-06-15]. http://shufatai.com/. CASIA-Junshen (Shenzhen) Intelligent & Big Data Sci-Tech Development Ltd . Zhongke Intelligent Calligraphy Desk [EB/OL].[2018-06-15].http://shufatai.com/. 11 GONG Y Z, NI Z Q, HUANG W X, et al . A real-time Chinese calligraphy creation system[C] // 2017 IEEE International Symposium on Multimedia (ISM). Taichung: IEEE, 2017: 536-542. DOI: 10.1109/ISM.2017.105 . 12 KUMAR L, RAJAWAT S, JOSHI K . Comparative analysis of NoSQL (MongoDB) with MySQL database[J]. International Journal of Modern Trends in Engineering and Research, 2015, 2(5): 120-127. 13 GYŐRÖDI C, GYŐRÖDI R, PECHERLE G, et al . A comparative study: MongoDB vs. MySQL[C]//3th International Conference on Engineering of Modern Electric Systems (EMES). Oradea:IEEE, 2015: 1-6. DOI: 10.1109/EMES.2015.7158433 . 14 ABRAMOVA V, BERNARDINO J . NoSQL databases: MongoDB vs cassandra[C]//Proceedings of the International Conference on Computer Science and Software Engineering. Montreal:ACM, 2013: 14-22. DOI:10.1145/2494444.249447 15 DEDE E, GOVINDARAJU M, GUNTER D, et al . Performance evaluation of a MongoDB and Hadoop platform for scientific data analysis[C]//Proceedings of the 4th ACM Workshop on Scientific Cloud Computing. Tucson:ACM, 2013: 13-20. DOI: 10.1145/2465848.2465849 . 16 SHANKAR V,LIN R . Performance study of Ceph storage with intel cache acceleration software: Decoupling Hadoop mapreduce and hdfs over Ceph storage[C]// 2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud). New York: IEEE, 2017: 10-13. DOI: 10.1109/CSCloud.2017.40 . |
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