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Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference最新文献

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Research on Osteoporosis Risk Assessment Based on Semi-supervised Machine Learning 基于半监督机器学习的骨质疏松风险评估研究
Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407725
Lei Lu, Luo Tao, Wang Yining, Han Jiahui, Li Jianfeng
{"title":"Research on Osteoporosis Risk Assessment Based on Semi-supervised Machine Learning","authors":"Lei Lu, Luo Tao, Wang Yining, Han Jiahui, Li Jianfeng","doi":"10.1145/3407703.3407725","DOIUrl":"https://doi.org/10.1145/3407703.3407725","url":null,"abstract":"In this paper, we propose a semi-supervised machine learning method for osteoporosis risk assessment. Existing osteoporosis risk assessment models have problems of low accuracy, and cannot utilize large amounts of unlabeled data. In order to improve the accuracy of diagnosis, the method comprehensively considers the osteoporosis-related questionnaire data and bone image data, and fuses the multi-modal features extracted from them. Feature engineering and Word2vec are used to extract numerical and text features from questionnaires, respectively. CNN is used to extract image features from BMD images. Considering the difficulty of obtaining labeled medical data, we build a self-training semi-supervised model based on XGBoost to classify and evaluate osteoporosis, which uses both labeled and unlabeled data for obtaining better generalization capabilities. Besides, in view of the fact that the questionnaire data has plenty of outliers and missing data, we remove outliers based on a DBSCAN algorithm and propose an improved PKNN algorithm to impute the missing data. Experimental results show that the proposed improved semi-supervised method achieves an accuracy of 0.78 in osteoporosis risk assessment and has obvious advantages compared with other methods.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126455821","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
A Comparative Study on Methods of Extracting Land Cover Informations Based on Landsat 8 In Dianchi Basin 基于Landsat 8的滇池流域土地覆盖信息提取方法比较研究
Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407730
Lijuan Jin, Quanli Xu
{"title":"A Comparative Study on Methods of Extracting Land Cover Informations Based on Landsat 8 In Dianchi Basin","authors":"Lijuan Jin, Quanli Xu","doi":"10.1145/3407703.3407730","DOIUrl":"https://doi.org/10.1145/3407703.3407730","url":null,"abstract":"Using remote sensing software ENVI5.1, combined with Landsat 8 data, the land cover information of the Dianchi Lake Basin is classified and extracted by maximum likelihood classification of supervised classification, ISODATA algorithm of unsupervised classification, and decision tree classification.The classification results and classification accuracy were obtained. Accuracy evaluation and comparative analysis of each classification method.The results show that the overall accuracy of supervised classification in the land cover classification in the study area is 93.90%, the overall accuracy of unsupervised classification is 85.72%, and the overall accuracy of decision tree classification is 75.59%.The supervised classification accuracy is higher than that unsupervised classification and decision tree classification.The categories extracted by supervised classification are continuous and the boundaries are clear, and supervised classification effect is basically consistent with the actual situation. Among them, the accuracy of the producers of forest land, agricultural land, build land, unused land and water area has reached more than 90%.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127602691","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
A Study on the Educational Function of Hubei Red Cultural Resources 湖北红色文化资源的教育功能研究
Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407713
Gao Jing, Zhang Yuan-jing, Liu Chengjie
{"title":"A Study on the Educational Function of Hubei Red Cultural Resources","authors":"Gao Jing, Zhang Yuan-jing, Liu Chengjie","doi":"10.1145/3407703.3407713","DOIUrl":"https://doi.org/10.1145/3407703.3407713","url":null,"abstract":"This paper analyzes the characteristics of Hubei's red cultural resources, discusses the educational function of red culture with a focus on Hubei's characteristics. Feasibility measures are put forward from three perspectives of educational subject, object and media. Then, based on the actual data, data arrangement and data analysis are performed against educational function of red culture, and the effect of red tourism is predicted through linear regression method based on attentional networks in children and adolescents, which proves that Wuhan measures are feasible and effective.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123898475","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
Efficient Knowledge Graph Completion via Dual-Sampling Path Ranking Algorithm 基于双采样路径排序算法的知识图谱高效补全
Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407724
Zhifan Huang, Jianfeng Li, Tao Luo
{"title":"Efficient Knowledge Graph Completion via Dual-Sampling Path Ranking Algorithm","authors":"Zhifan Huang, Jianfeng Li, Tao Luo","doi":"10.1145/3407703.3407724","DOIUrl":"https://doi.org/10.1145/3407703.3407724","url":null,"abstract":"We consider the problem of Knowledge Graph Completion (KGC) in a large-scale knowledge base containing incomplete knowledge. Path Ranking Algorithm (PRA) is a soft inference procedure based on path-constrained random walk, which has proven to be an effective method for knowledge graph completion. However, the high computational complexity of PRA limits its application, especially in large-scale knowledge graphs. In order to alleviate this problem, we propose a Dual-Sampling Path Ranking Algorithm (DSPRA). DSPRA adopts a two-layer sampling strategy and performs particle sampling at the relation layer and the node layer respectively. Experiments on 48 tasks extracted from the NELL dataset prove that DSPRA can further improve the computational efficiency of PRA, while not significantly affecting its inference accuracy.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127506069","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
Research on Speech Signal Enhancement Technology Based on Progressive Deep Neural Network 基于渐进式深度神经网络的语音信号增强技术研究
Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407732
Teng Haikun, Li Lunbin, W. Shiying
{"title":"Research on Speech Signal Enhancement Technology Based on Progressive Deep Neural Network","authors":"Teng Haikun, Li Lunbin, W. Shiying","doi":"10.1145/3407703.3407732","DOIUrl":"https://doi.org/10.1145/3407703.3407732","url":null,"abstract":"Traditional speech enhancement methods have some shortcomings when processing sound signals. For example, under low signal-to-noise ratio, the residual of music noise is heavy; the effect of non-stationary noise suppression is not obvious; they are all based on the assumption that the noise is a stationary process. In this paper, the progressive speech enhancement method based on neural network, through experimental comparison, can effectively improve the problems of traditional speech enhancement methods.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121378773","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
Overview of Container Cloud Task Scheduling 容器云任务调度概述
Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407714
Cai Zhiyong, Xie Xiaolan
{"title":"Overview of Container Cloud Task Scheduling","authors":"Cai Zhiyong, Xie Xiaolan","doi":"10.1145/3407703.3407714","DOIUrl":"https://doi.org/10.1145/3407703.3407714","url":null,"abstract":"With the rapid development of cloud computing, virtualization technology represented by container technology is gradually replacing the original virtual machine technology. Introducing the container cloud and its main research direction. Starting from task scheduling, combs and summarizes the current research status of the container cloud task scheduling algorithm, and introduces the current four mainstream container scheduling platforms. According to the independence of scheduling task, it is divided into independent task scheduling and non independent workflow task scheduling. According to the different task scheduling objectives, it is divided into single objective optimization task scheduling algorithm and multi-objective task scheduling algorithm. After a detailed analysis of the advantages and disadvantages of several representative algorithms, the existing improved methods are summarized.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133790919","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: 1
Information system security outsourcing and information sharing level decision 信息系统安全外包与信息共享水平决策
Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407720
Qiaoqin Su, Jianqiang Gu
{"title":"Information system security outsourcing and information sharing level decision","authors":"Qiaoqin Su, Jianqiang Gu","doi":"10.1145/3407703.3407720","DOIUrl":"https://doi.org/10.1145/3407703.3407720","url":null,"abstract":"Recent information systems investment have focused on outsourcing IS security and supply chain integration.MSSPs are the most efficient way to provide IS security by leveraging the economies-of-scale in providing a critical mass of human Internet security expertise. While information sharing facilitate optimization of security functions, they also exacerbate the information security risk. This paper focus on game problems between enterprise and MSSP. we use differential game to study interaction effect between the MSSPs' input and supply chain integration level, then two cases were analyzed.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129782523","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
Realization and Application Analysis of Virtual Experiment Platform in Wisdom Teaching 智慧教学中虚拟实验平台的实现与应用分析
Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407722
Wang Fei
{"title":"Realization and Application Analysis of Virtual Experiment Platform in Wisdom Teaching","authors":"Wang Fei","doi":"10.1145/3407703.3407722","DOIUrl":"https://doi.org/10.1145/3407703.3407722","url":null,"abstract":"The virtual experiment platform is the result of building a smart campus at present. It uses application service software as a carrier, with the help of cutting-edge technologies such as the Internet of Things, virtualization and cloud computing to change the way teachers and students interact with campus resources and conducts teaching resources in schools. Integration can not only improve students' enthusiasm for learning, but also provide a new teaching model for schools. Based on the virtual experiment platform used by our school, this paper investigates and analyzes the application status of experimental teaching of virtual laboratory assisted medical laboratory technology students, and how to better combine virtual experiment with high school physics experiment teaching to improve the quality of experimental teaching Carry out research and put forward my own opinions, which provide a reference for the majority of teaching scholars.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114963090","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
Enlightenment of skill competition to training of high-quality applied talents: Taking industrial robot application in e-commerce logistics as an example 技能竞赛对培养高素质应用型人才的启示——以工业机器人在电子商务物流中的应用为例
Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407712
L. Ping
{"title":"Enlightenment of skill competition to training of high-quality applied talents: Taking industrial robot application in e-commerce logistics as an example","authors":"L. Ping","doi":"10.1145/3407703.3407712","DOIUrl":"https://doi.org/10.1145/3407703.3407712","url":null,"abstract":"Discipline competition is an important measure to test college teaching ability and students' application ability. Industry-education integration favors collaborative education in colleges and universities as well as training of high-quality applied talents. Based on discipline competition of local application-oriented colleges, this paper explains the role of skill competition in promoting in-depth integration of industry and education with application of industrial robots in the field of e-commerce logistics as an example, with a view to comprehensively promoting the transformation, upgrading and connotative development of application-oriented universities, so that they better serve local economic and social development.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126249626","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: 1
Research on Privacy Preserving Data Mining Based on Randomized Response 基于随机响应的隐私保护数据挖掘研究
Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference Pub Date : 2020-08-20 DOI: 10.1145/3407703.3407727
L. Xiaoping, Li Jianfeng, Song Haina
{"title":"Research on Privacy Preserving Data Mining Based on Randomized Response","authors":"L. Xiaoping, Li Jianfeng, Song Haina","doi":"10.1145/3407703.3407727","DOIUrl":"https://doi.org/10.1145/3407703.3407727","url":null,"abstract":"Data mining has played an active role in some deep-level applications, but at the same time, it also brings many problems in information security and privacy protection. The association rule mining algorithm based on randomized response (RR) protects private information to a certain extent. However, because all the disturbed data in the data interference strategy based on randomized response are directly related to the real original data, the effect of privacy protection is not obvious. Aiming at this problem, this paper proposes a more effective privacy protection method in association rule mining. Based on the existing association rule mining model, a suitable perturbation strategy is designed to reduce the interference between the perturbed data and the original data. Relevance, without affecting the accuracy of mining, further enhance the degree of privacy protection of the mechanism.","PeriodicalId":284603,"journal":{"name":"Proceedings of the 2020 Artificial Intelligence and Complex Systems Conference","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121083079","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: 1
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