2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)最新文献_第5页

An Efficient Location Privacy Preserving Model based on Geohash 基于Geohash的高效位置隐私保护模型

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963346

Wei Xiang

引用次数: 5

Kubestorage: A Cloud Native Storage Engine for Massive Small Files Kubestorage:一个用于海量小文件的云原生存储引擎

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8962995

Fuxin Liu, Jingwei Li, Yihong Wang, Lin Li

{"title":"Kubestorage: A Cloud Native Storage Engine for Massive Small Files","authors":"Fuxin Liu, Jingwei Li, Yihong Wang, Lin Li","doi":"10.1109/BESC48373.2019.8962995","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8962995","url":null,"abstract":"Cloud Native, the emerging computing infrastructure has become a new trend for cloud computing, especially after the development of containerization technology such as docker and LXD, and the orchestration system for them like Kubernetes and Swarm. With the growing popularity of Cloud Native, the following problems have been raised: (i) most Cloud Native applications were designed for making full use of the cloud platform, but their file storage has not been completely optimized for adapting it. (ii) the traditional file system is designed as a utility for storing and retrieving files, usually built into the kernel of the operating systems. But when placing it to a large-scale condition, like a network storage server shared by thousands of computing instances, and stores millions of files, it will be slow and even unstable. (iii) most storage solutions use metadata for faster tracking of files, but the metadata itself will take up a lot of space, and the capacity of it is usually limited. If the file system store metadata directly into hard disk without caching, the tracking of massive small files will be a lot slower. (iv) The traditional object storage solution can't provide enough features to make itself more practical on the cloud such as caching and auto replication. This paper proposes a new storage engine based on the well-known Haystack storage engine, optimized in terms of service discovery and Automated fault tolerance, make it more suitable for Cloud Native infrastructure, deployment and applications. We use the object storage model to solve the large and high-frequency file storage needs, offering a simple and unified set of APIs for application to access. We also take advantage of Kubernetes' sophisticated and automated toolchains to make cloud storage easier to deploy, more flexible to scale, and more stable to run.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127067530","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

An Extraction-Abstraction Hybrid Approach for Long Document Summarization 一种长文档摘要的抽取-抽象混合方法

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8962979

Si Huang, Rui Wang, Qing Xie, Lin Li, Yongjian Liu

引用次数: 2

AI-Tutor: Generating Tailored Remedial Questions and Answers Based on Cognitive Diagnostic Assessment 人工智能导师:基于认知诊断评估生成量身定制的补救问题和答案

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963236

Wenbin Gan, Yuan Sun, Shiwei Ye, Ye Fan, Yi Sun

{"title":"AI-Tutor: Generating Tailored Remedial Questions and Answers Based on Cognitive Diagnostic Assessment","authors":"Wenbin Gan, Yuan Sun, Shiwei Ye, Ye Fan, Yi Sun","doi":"10.1109/BESC48373.2019.8963236","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963236","url":null,"abstract":"Developing AI-powered intelligent tutoring systems to facilitate adaptive learning has been a hot research topic due to that these systems can provide personalized learning guidance by taking individual learner's status and needs into consideration to improve their learning performance. Based on this perspective, this paper proposes a novel personalized adaptive tutoring system named AI-Tutor, which not only incorporates the basic functions of general tutoring systems that providing adaptive course learning to learners, but also can generate tailored remedial questions and answers based on cognitive diagnostic assessment. This unique and tailored tutoring service will potentially help learners master the deficient knowledge points in a much shorter time. This paper presents the preliminary research and development in implementing such an AI-powered tutor. First, it gives the system design with the function description of main modules and the operating procedure. Second, it identifies four main research problems behind this system and proposes approaches to solve these problems in developing the AI-Tutor.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115459406","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: 6

Comparative study of Bitcoin price prediction using WaveNets, Recurrent Neural Networks and other Machine Learning Methods 使用wavenet、递归神经网络和其他机器学习方法进行比特币价格预测的比较研究

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963009

L. Felizardo, R. Oliveira, E. Del-Moral-Hernandez, F. G. Cozman

引用次数: 13

Computer-based Large-scale Construction Project Health Diagnosis System 基于计算机的大型建设项目健康诊断系统

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963097

Hui Tang, Wei Shi, Haiyan Xu, Chunwei Yang, Yi Guo, Lin Sheng

{"title":"Computer-based Large-scale Construction Project Health Diagnosis System","authors":"Hui Tang, Wei Shi, Haiyan Xu, Chunwei Yang, Yi Guo, Lin Sheng","doi":"10.1109/BESC48373.2019.8963097","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963097","url":null,"abstract":"A computer-based Large-scale Construction Project Health Diagnosis System (LCPHDS) was developed under the direction of diagnosis theory which is based on scientific evidence for diagnosing implementation status in construction projects. First, a brief introduction was given into diagnosis thought in medicine field; then, the health diagnosis theory was illustrated from four aspects of how to extract characteristics and relevant parameter variables, how to build a system of indexes and relevant weights, how to provide a set of judgment standards as references and how to illustrate the process of diagnostic computations. Programming technologies and developing tools like C#, SQL Server 2005 and C/S architecture were elaborated for a better understanding of the development environment of LCPHDS. In the end, the user interface (UI) and functional performance were demonstrated to exhibit the wholeness of the system. LCPHDS mainly helps managers or directors to analyze and supervise implementation status, especially quality, over the life-cycle. The proposed system has already been implemented by a construction company in Guangzhou for a trial run, and has made some effects.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"408 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115952991","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

Identification of epileptic discharge based on statistical analysis and fractal analysis 基于统计分析和分形分析的癫痫放电识别

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963565

Qiong Li, Ziwen Zhang, Qi Huang, Yuan Wu, Jianbo Gao

{"title":"Identification of epileptic discharge based on statistical analysis and fractal analysis","authors":"Qiong Li, Ziwen Zhang, Qi Huang, Yuan Wu, Jianbo Gao","doi":"10.1109/BESC48373.2019.8963565","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963565","url":null,"abstract":"Epilepsy is a relatively common brain disorder characterized by transient but recurrent abnormal discharge of neurons due to the dysfunction of the central nervous system. Brainwave EEG signals are customary used in clinical diagnosis and screening of epileptic seizure patients. EEG abnormalities include abnormal background waves, very short epileptic discharges (lasting only about several tens of milliseconds), and seizure signals (lasting a few seconds). There are 7 classes of short epileptic discharges, identification of which is often considered an effective screening of epileptic seizure patients. In this study, we consider classification of these short epileptic discharges. For this purpose, we analyzed 422 multi-channel EEG segments, each 4 $s$ long. Among these segments, 322 are short epileptic discharges, 100 are from healthy controls. We have first extracted features from these EEG segments using statistical analysis and Adaptive Fractal Analysis (AFA), then used Random Forest Classifier to identify and classify all 7 epileptic discharges. We have achieved very high recognition and classification accuracy with this synthesized approach.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123746605","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

he Innovative Education of “Smart Finance” under the Promotion of Educational Informationization 教育信息化推动下的“智慧金融”创新教育

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963551

Yuan Zhang, Yi Wu, Murong Zheng, Xinyi Lin, Yutong Zhang

{"title":"he Innovative Education of “Smart Finance” under the Promotion of Educational Informationization","authors":"Yuan Zhang, Yi Wu, Murong Zheng, Xinyi Lin, Yutong Zhang","doi":"10.1109/BESC48373.2019.8963551","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963551","url":null,"abstract":"The rapid development of artificial intelligence has rapidly changed the pattern of higher education, the structure of talent demand and the mode of future learnings. Artificial intelligence talents should break through the traditional single-subject training mode and form a new model of “artificial intelligence + X” compound professional training in the cross-integration with related subjects. Not only programmers can be called digital talents, such talents who form professional insights and knowledge in specific areas and apply them to the digital field may be needed in the future. Teaching informatization is also of great significance for promoting the reform of the school's talent training model. For example, cross-subject, cross-major learning and informatization can help eliminating the boundaries of the department, and jointly build and share some cross-subjects majors, micro-professionals and MOOC, micro-courses, simulation experiments and other “online virtual classrooms”. Artificial intelligence has a strong impact on traditional accounting work, replacing the high repetitiveness in the financial process and the manual operation of occupying a large amount of labor, so that accounting teaching needs to be changed. Promoting the sharing and building of high-quality resources by teaching informatization and providing the soulful university classroom teaching of Chinese wisdom and Chinese programs for the balanced development of education quality to realize the return of learning. Advancing the financial transformation under the intelligent accounting provides a good idea for the accounting teaching. Advocating the implementation of the “learner-centered” educational thinking, paying equal attention to skills and thinking design, and using online courses realize the form of intelligent financial innovation education","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128843235","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: 3

An Integration Method Of Classifiers For Abnormal Phone Detection 一种分类器集成的异常手机检测方法

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963003

Y. Yuan, Ke Ji, R. Sun, Kun Ma, Zhenxiang Chen, Lin Wang

引用次数: 3

The Effect of Online Reviews on E-book Pricing: A Text Analytics Approach 在线评论对电子书定价的影响:文本分析方法

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963472

Kang Li, Lunchuan Zhang, W. Xu, Dinglu Pan, Wenping Zhang

引用次数: 0