International Conference on Crowd Science and Engineering最新文献_第2页

The Impact of Penetration Rate of Online Health Service on Service Quality and Price: Evidence from Online Health Communities 网络健康服务渗透率对服务质量和价格的影响:来自网络健康社区的证据

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265720

Junwei Kuang, Lini Kuang, Zhijun Yan

引用次数: 4

Automatic Segmentation of Left Myocardium in CMR Based on Fully Convolutional Networks 基于全卷积网络的CMR左心肌自动分割

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265710

Yifan Du, Yuanlin Zhu, Shengjie Wu, Lihui Wang, Yuemin M. Zhu, Feng Yang

{"title":"Automatic Segmentation of Left Myocardium in CMR Based on Fully Convolutional Networks","authors":"Yifan Du, Yuanlin Zhu, Shengjie Wu, Lihui Wang, Yuemin M. Zhu, Feng Yang","doi":"10.1145/3265689.3265710","DOIUrl":"https://doi.org/10.1145/3265689.3265710","url":null,"abstract":"Myocardial segmentation plays an important role for quantitative evaluation of heart diseases and cardiac image processing and analysis. However, myocardial segmentation has always been a challenging task because gray scale intensities of the myocardium and tissues around the heart are very close and that significant differences exist in myocardial structure between different slices or slices at different times. Traditional segmentation algorithms are difficult to obtain accurate and robust segmentation results and are usually semi-automatic which require manual operations and extra workload. Therefore, the development of a fully automatic myocardial segmentation algorithm is an appealing research goal. In this paper, we propose an automatic myocardial segmentation algorithm based on fully convolutional neural networks. By building an end-to-end model, the segmentation speed has been improved without affecting the segmentation accuracy. Performance comparisons between the proposed HeartNet and state-of-art methods demonstrated the effectiveness of our algorithm, which achieved an average DSC of 90.48% by segmenting 144.9 frames per second.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116727949","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

Impacts of Big Data on Data Mining Research: An Empirical Study of Chinese Journals 大数据对数据挖掘研究的影响——基于中文期刊的实证研究

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265706

Yue Huang

引用次数: 1

The Key Factors Affecting RPA-business Alignment 影响rpa -业务一致性的关键因素

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265699

Ning Zhang, Bo Liu

引用次数: 14

Gamification and Basic Human Needs in Information Technology Design: A Literature Analysis 信息技术设计中的游戏化与人的基本需求:文献分析

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265695

Jian Tang, Ping Zhang

引用次数: 3

Extracting Implicit Features Based on Association Rules 基于关联规则的隐式特征提取

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265707

Zhishuo Liu, Qianhui Shen, Jingmiao Ma

引用次数: 3

information to Intelligence(itoI): An Adaptive and Intelligent Prototype of Knowledge Construction for College Student 信息到智能:大学生知识构建的自适应智能原型

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265691

Li Sun, Hua-lei Wang, Yongxin Zhang, Yinggang Liu, Hongchen Wu, Yanhui Ding, Jinghuan Zhang

引用次数: 1

A Bibliometric Analysis of Crowdfunding Related Research: Current trends and Future Prospect 众筹相关研究的文献计量分析:现状趋势与未来展望

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265702

Wei Zhang, Yan-chun Zhu, Xiao-Lin Wu

{"title":"A Bibliometric Analysis of Crowdfunding Related Research: Current trends and Future Prospect","authors":"Wei Zhang, Yan-chun Zhu, Xiao-Lin Wu","doi":"10.1145/3265689.3265702","DOIUrl":"https://doi.org/10.1145/3265689.3265702","url":null,"abstract":"Crowd Funding is a behavior that raises funds for projects or venture capital by generating a small amount of money from a large number of people. It started late in China, but has rapidly been developeing. At present, the research on crowdfunding in China is still at an early stage and lacks deep-level exploration Those researches mostly focus on the meaning, characteristics, and operating methods of crowd Funding. Therefore, this paper takes crowd Funding literature as the research object, using CiteSpace to map, describe and counts the related keywords and cited references in the target domain. Starting with the cited relations among the existing studies of core database, focusing on weighted documents, this papaer analyzes the relationship of cooccurrence in crowd funding papers, and conductes research hotspots, trends and knowledge structures in the \"Crowd Funding\" field. The results show that the business economy is the largest research category in crowdfunding, followed by computer science and government laws and regulations, and there are also studies about crowdfunding from the perspective of the environmental ecology science, public management and social science.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"599 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134435377","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: 5

Study on the Source of Negative Externality in the Sharing Economy 共享经济负外部性来源研究

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265701

Wenjun Jing, Baowen Sun

引用次数: 3

Neural Indexes of Attention Extracted from EEG Correlate with Elderly Reaction Time in response to an Attentional Task 脑电注意神经指标与老年人注意任务反应时间的相关性研究

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265722

Fatemeh Fahimi, Wooi-Boon Goh, Tih-Shih Lee, Cuntai Guan

{"title":"Neural Indexes of Attention Extracted from EEG Correlate with Elderly Reaction Time in response to an Attentional Task","authors":"Fatemeh Fahimi, Wooi-Boon Goh, Tih-Shih Lee, Cuntai Guan","doi":"10.1145/3265689.3265722","DOIUrl":"https://doi.org/10.1145/3265689.3265722","url":null,"abstract":"In the present paper, we analyze electroencephalogram (EEG) signals recorded by a single frontal channel from 105 elderly subjects while they were responding to an attention-demanded task (Stroop color test). The first objective is to discover how post-cue frequency band oscillations of EEG, as neural index of attention, are correlated with elderly response time (RT), as behavioral index of attention. Furthermore, we aim to detect the most informative period of brain activity (EEG) in which the strongest correlations with reaction time exist. Our results show that 1) there is significant negative correlation between alpha gamma ratio (AGR) and response time (p<0.0001), 2) theta beta ratio (TBR) is positively correlated with subjects' response time (p<0.0001) and 3) these correlations are stronger in a 500ms period right after triggering the cue (question onset in Stroop test). Our study provides an insight into the research on analysis and prediction of subject behavior from EEG. Moreover, it has potential to be used in implementation of feasible and efficient single channel EEG-based brain computer interface (BCI) training systems for elderly.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123728862","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