Proceedings of the 4th International Conference on Crowd Science and Engineering最新文献

Internet of Service: the Business Operating Environment of Crowd System 服务互联网:人群系统的业务运行环境

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371262

Shuangxi Huang, Zhixuan Jia, Yushun Fan, Taiwen Feng, Ting He, Shizhen Bai, Zhiyong Wu

引用次数: 0

Empirical Study on the Correlation and Volatility between Bitcoin and the Blockchain Index: Based on Granger causality test and GARCH-class model 比特币与区块链指数相关性及波动性的实证研究——基于Granger因果检验和garch类模型

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371243

Tuotuo Qi, Tianmei Wang, Jian-ming Zhu, Ruyu Bai

引用次数: 1

A General Simulation Framework for Crowd Network Simulations 人群网络仿真的通用仿真框架

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371241

J. Zou, Hongbo Sun, Baode Fan, Yongguang Zhao

{"title":"A General Simulation Framework for Crowd Network Simulations","authors":"J. Zou, Hongbo Sun, Baode Fan, Yongguang Zhao","doi":"10.1145/3371238.3371241","DOIUrl":"https://doi.org/10.1145/3371238.3371241","url":null,"abstract":"Crowd network systems have been deemed as a promising mode of modern service industry and future economic society, taking crowd network as the research object and exploring its operation mechanism and laws is of great significance for realizing the effective governance of the government and the rapid development of economy, avoiding social chaos and mutation, and providing a scientific theoretical basis for constructing efficient networked economic and social era. However, because crowd network owes characteristics as large-scale, dynamic and diversified online deep interconnection, and its most results cannot be observed in real world, which cannot be carried out in accordance with traditional way, simulation is of great importance to put forward related researches. This paper adopts a data-driven architecture by deeply analyzing existing large-scale simulation architectures and proposes a novel reflective memory-based framework for crowd network simulations. In this paper, the framework is analyzed from three aspects: hierarchical architecture, functional architecture and implementation architecture. According to the characteristics of crowd network, hierarchical architecture and functional architecture adopt a general structure to decouple related work in a harmonious way. In the implementation architecture, several toolkits for system implementation are designed, which connected by Data Driven Files (DDF), and these XML files constitute a persistent storage layer. From the functional point of view, crowd network simulations obtain the support of reflective memory by connecting the reflective memory cards on different devices, and connect the interfaces of relevant simulation software to complete the corresponding function call. Meanwhile, in order to improve the credibility of simulations, VV&A (Verification, Validation and Accreditation) is introduced into the framework to verify the accuracy of simulation system executions.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124225305","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

A Blockchain based Smart Agent System Architecture 基于区块链的智能代理系统架构

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371244

Tianzhi Yang, Yuan Liu, Xiao-bao Yang, Yilin Kang

{"title":"A Blockchain based Smart Agent System Architecture","authors":"Tianzhi Yang, Yuan Liu, Xiao-bao Yang, Yilin Kang","doi":"10.1145/3371238.3371244","DOIUrl":"https://doi.org/10.1145/3371238.3371244","url":null,"abstract":"With the popularity of artificial intelligence(AI), intelligent agents are potential to positively change people's lives in every aspect. Meanwhile, blockchain technology opens a new era of value exchange with trustless security among strangers. Its decentralized architecture and cryptography based data storage pattern bring light to vast application areas with high security and scalability requirements. In this work, we provide a general solution for intelligence application development on blockchain. Specifically, we propose a novel design of a smart agent inspired by the smart contract concept in the blockchain. Based on the proposed smart agents, a system architecture composed by smart agents is built supported by blockchain, where the agent network and blockchain network is overlapped. Then, a demonstration of the proposed architecture is designed in a case where private data required to be \"properly protected\" in a distributed manner. The implementation of the designed system is further conducted in the Ethereum development environment, showing the effectiveness and applicability of the proposed architecture in developing a secure distributed application.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114911663","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

Improved Firefly Algorithm and Its Application 改进的萤火虫算法及其应用

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371267

Jiming Ma, H. Chen, Rijian Su, Yan Wang, Song Zhang, Shijiao Shan

引用次数: 9

Factors influencing the crowd participation in knowledge-intensive crowdsourcing 知识密集型众包中人群参与的影响因素

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371268

Xuefeng Zhang, Mingshuang Chen, GuanQun Ji

引用次数: 4

Two Ways Peer Interactions Affect Academic Performance 同伴互动影响学习成绩的两种方式

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371253

Yin Li, Leiju Qiu, Baowen Sun

引用次数: 2

Deep Transfer Learning For Abnormality Detection 异常检测的深度迁移学习

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371274

Jie Wei Kong, Yonghui Xu, Han Yu

{"title":"Deep Transfer Learning For Abnormality Detection","authors":"Jie Wei Kong, Yonghui Xu, Han Yu","doi":"10.1145/3371238.3371274","DOIUrl":"https://doi.org/10.1145/3371238.3371274","url":null,"abstract":"Deep learning has proven to be effective in learning scenarios with massive training data. However, in many real applications (i.e., abnormality detection), there is a lack of sufficient data to achieve a good deep learning model. Considering the fact that collecting massive labeled training data for a new task is often expensive and time-consuming, it is critical to transfer and reuse the knowledge of the labeled data or simulation data to the new task. To tackle this issue, we propose a deep transfer learning method in this paper. On one hand, we pre-train a basic deep learning model with the related training data. Then, we treat the learning model as a starting point for the current problem to train the new deep learning model. On the other hand, we utilize the Generative Adversarial Nets (GAN) in the learning process to transfer knowledge from simulation data and further enhances the discriminative power of the model. Besides, we apply the proposed method to abnormality detection problem. Experiments in Bone X-Ray anomaly detection show that the proposed deep transfer model can significantly improve performance compared to the basic deep learning model.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131864799","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: 4

Tag Information Recognition Approaches and Algorithms for Cross-Border Products Checking 跨境产品检测中的标签信息识别方法与算法

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371248

Dunsheng Chen, Yinsheng Li, X. Liang

{"title":"Tag Information Recognition Approaches and Algorithms for Cross-Border Products Checking","authors":"Dunsheng Chen, Yinsheng Li, X. Liang","doi":"10.1145/3371238.3371248","DOIUrl":"https://doi.org/10.1145/3371238.3371248","url":null,"abstract":"The images with fixed layouts, such as images from ID cards, driving licenses, and invoices can be recognized from prior knowledge[1]-[7]. However, The non-immobilized images, such as product labels at ports, is very difficult to be extracted structured data information from tag images because the formats and contents of tags in different countries and different product vary widely[8]. The process is complex and the error rate is high. This paper combines the characteristics of the Cross-Border Products label, overall format complex and simple local structure (top-to-down and left-to-right), and proposes a method for identifying and structuring port commodity label information. The method mainly establishes a template library of keyword and data unit information of commodity labels according to the port commodity classification and then separates the keyword and the data information from the multi-line text with accurate location information recognized by the OCR engine. Finally, the keyword and data are structured according to the local layout pattern between the keyword and the data, and the structured Cross-Border product information is obtained.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115767992","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 Real-time Device-free Head Motion Recognition Framework for Family Care Robots 一种家庭护理机器人实时无设备头部运动识别框架

Proceedings of the 4th International Conference on Crowd Science and Engineering Pub Date : 2019-10-18 DOI: 10.1145/3371238.3371271

Xiaoyu Wang, Tao Wang

引用次数: 1