Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference最新文献_第5页

Design and Application of Knowledge Base Management System for Intelligent Outfitting Design 智能服装设计知识库管理系统的设计与应用

Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference Pub Date : 2019-06-22 DOI: 10.1145/3341069.3341078

Yongjun Ji, Jianfeng Liu, Linke Wang, Xiaocai Hu, Zhen Yang, Zu-hua Jiang

引用次数: 1

Research and Implementation of BDaaS Cloud Platform for Security Industry 面向安防行业的BDaaS云平台研究与实现

Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference Pub Date : 2019-06-22 DOI: 10.1145/3341069.3341077

Lianqing Wang, Rong Che, Nie Jing

{"title":"Research and Implementation of BDaaS Cloud Platform for Security Industry","authors":"Lianqing Wang, Rong Che, Nie Jing","doi":"10.1145/3341069.3341077","DOIUrl":"https://doi.org/10.1145/3341069.3341077","url":null,"abstract":"with the sharp growth of security data and equipment resources in the security industry, the traditional management mode caused such problems as low utilization rate, poor flexibility, weak scheduling ability, insufficient scalability and serious waste. And at present, few researchers in the security industry use the idea of big data to analyze and process security data. In this paper, based on the idea of cloud computing and big data, the demand analysis of security industry data cloud management was completed, and by using cloud computing virtualization technology, the security industry big data platform was demonstrated and designed, realized the integration of resources and data within the security industry. The data application and processing cluster of security industry could be constructed by deploying computing nodes quickly, and computing resources could be allocated on demand to reduce redundant deployment of security management and waste of resources. The functions of security incident alarm management, security patrol management, security resource management, decision support, data operation and maintenance were realized. Through functional testing and performance testing, it was proved that the BDaaS cloud platform for security industry had greatly improved the data storage capacity, stability, security data processing efficiency and operation response speed of the original security management platform.","PeriodicalId":411198,"journal":{"name":"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132429268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recommendation Algorithm based on Blending Learning 基于混合学习的推荐算法

Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference Pub Date : 2019-06-22 DOI: 10.1145/3341069.3342983

Fayaz Ahmed Malik, Wenbin Ye, Qiaojun Chen, Dong Li

引用次数: 1

A Study on Features for Improving Performance of Chinese OCR by Machine Learning 基于机器学习提高中文OCR性能的特征研究

Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference Pub Date : 2019-06-22 DOI: 10.1145/3341069.3342991

C. Kim, Jang Su Kim, U. J. Kim

引用次数: 1

Research on Data Enhanced Ancient Pictogram Recognition Method Based on Convolutional Neural Network 基于卷积神经网络的数据增强古代象形文字识别方法研究

Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference Pub Date : 2019-06-22 DOI: 10.1145/3341069.3342993

Lily Tian, Yutong Zheng, Qiao Cui

{"title":"Research on Data Enhanced Ancient Pictogram Recognition Method Based on Convolutional Neural Network","authors":"Lily Tian, Yutong Zheng, Qiao Cui","doi":"10.1145/3341069.3342993","DOIUrl":"https://doi.org/10.1145/3341069.3342993","url":null,"abstract":"As the carrier of national culture, words and pictograms record the unique culture and history of each nation, but the number of existing ancient pictogram is very small, and it is difficult to collect them, which makes it difficult for the academic research of ancient pictogram and the recognition by deep learning. In addition, due to the preservation environment and their own particularities, the traditional data enhancement methods will cause problems such as wrong data label, inability to simulate real scenes, etc. So, it can't effectively expand the large-scale data. To solve these problems, this paper proposes a set of data enhancement methods for small data sets and natural scenes. For the small data set enhancement method, firstly, we use artificial data enhancement to enhance original data, and then a limited random affine transform is used to limit the extent and extent of the enhancement. For natural scenes, we use the DCGAN to fuse the natural scene image and the ancient pictogram to simulate the natural environment. Finally, the paper designs a neural network model to recognize the ancient pictogram. It is proved that the data enhancement method can solve the problem of insufficient data, and finally achieve 99% accuracy.","PeriodicalId":411198,"journal":{"name":"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129320880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Method for Identifying Close Friend Relationship in Mobile Phone 手机中亲密朋友关系的识别方法

Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference Pub Date : 2019-06-22 DOI: 10.1145/3341069.3342984

Daodong Ming, Bin Xi, Shunxiang Wu, Baihua Chen, Chao Yi, Zhendong Liao

引用次数: 0

Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying 面向情感分类的半无监督终身学习:少人工数据标注，多自学习

Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference Pub Date : 2019-04-30 DOI: 10.1145/3341069.3342992

Xianbin Hong, Gautam Pal, S. Guan, Prudence W. H. Wong, Dawei Liu, K. Man, Xin Huang

引用次数: 3