Han Wu, Tao Wang, Tuo Dai, Yuanzhen Lin, Yizhou Wang
In this paper, we propose a practical framework to realize accurate, real-time and contactless heart rate measurement, which is essential for home nursing and medical assistance. This framework is composed of the Second Order Blind Identification to decompose the hidden remote photoplethysmogram signal, a series of signal analysis methods to correctly calculate heart rate and a lightweight but accurate peak detection method to draw heartbeat curve. The results are compared to a home pulse oximeter and proved to be highly consistent with it under various interaction scenes such as daily conversation. The heartbeat curve generated by the proposed framework also shows agreement with the oximeter. This framework is robust with great potential for domestic health assistance and emotional care in an ageless aging society.
{"title":"A Real-Time Vision-Based Heart Rate Measurement Framework for Home Nursing Assistance","authors":"Han Wu, Tao Wang, Tuo Dai, Yuanzhen Lin, Yizhou Wang","doi":"10.1145/3265689.3265718","DOIUrl":"https://doi.org/10.1145/3265689.3265718","url":null,"abstract":"In this paper, we propose a practical framework to realize accurate, real-time and contactless heart rate measurement, which is essential for home nursing and medical assistance. This framework is composed of the Second Order Blind Identification to decompose the hidden remote photoplethysmogram signal, a series of signal analysis methods to correctly calculate heart rate and a lightweight but accurate peak detection method to draw heartbeat curve. The results are compared to a home pulse oximeter and proved to be highly consistent with it under various interaction scenes such as daily conversation. The heartbeat curve generated by the proposed framework also shows agreement with the oximeter. This framework is robust with great potential for domestic health assistance and emotional care in an ageless aging society.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"24 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":"122301658","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}
1Food safety is becoming more and more serious topic worldwide. To tackle the food safety issues from the technical aspect, people need a trusted food traceability system that can track and monitor the whole lifespan of food production, including the processes of food raw material cultivation/breeding, processing, transporting, warehousing, and selling etc. In this paper, we propose a trusted, self-organized, open and ecological food traceability system based on blockchain and Internet of Things (IoT) technologies, which involves all parties of a smart agriculture ecosystem, even if they may not trust each other. We use IoT devices to replace manual recording and verification as many as possible, which can reduce the human intervention to the system effectively. Furthermore, we plan to use the smart contract technology to help the law-executor to find problems and process them timely.
{"title":"Blockchain and IoT based Food Traceability for Smart Agriculture","authors":"Jun Lin, Zhiqi Shen, Anting Zhang, Y. Chai","doi":"10.1145/3265689.3265692","DOIUrl":"https://doi.org/10.1145/3265689.3265692","url":null,"abstract":"1Food safety is becoming more and more serious topic worldwide. To tackle the food safety issues from the technical aspect, people need a trusted food traceability system that can track and monitor the whole lifespan of food production, including the processes of food raw material cultivation/breeding, processing, transporting, warehousing, and selling etc. In this paper, we propose a trusted, self-organized, open and ecological food traceability system based on blockchain and Internet of Things (IoT) technologies, which involves all parties of a smart agriculture ecosystem, even if they may not trust each other. We use IoT devices to replace manual recording and verification as many as possible, which can reduce the human intervention to the system effectively. Furthermore, we plan to use the smart contract technology to help the law-executor to find problems and process them timely.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"1 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":"129927722","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}
Bo Liu, Libin Shen, Huanling You, Yan Dong, Jianqiang Li, Yong Li, Jianlei Lang, Rentao Gu
With the influence of extreme weather, road surface temperature (RST), which threatens the safety of people's travel, has attracted more and more attention to the government and citizens. However, traditional methods are hard to meet real-time requirements in forecasting RST. In order to improve the predictive accuracy of RST and meet the real-time requirement, this paper compares three different machine learning algorithms including, Least Absolute Shrinkage and Selection Operator (LASSO), Random Forest (RF) and Gradient Boosting Regression Tree (GBRT). Using the RST data and BJ-RUC (Beijing-rapidly update cycle) data during November 2012 and June 2015, the performance of three models is evaluated. The experimental results show that GBRT performs the best and its MSE is 6.7853.
{"title":"Forecasting Road Surface Temperature in Beijing Based on Machine Learning Algorithms","authors":"Bo Liu, Libin Shen, Huanling You, Yan Dong, Jianqiang Li, Yong Li, Jianlei Lang, Rentao Gu","doi":"10.1145/3265689.3265712","DOIUrl":"https://doi.org/10.1145/3265689.3265712","url":null,"abstract":"With the influence of extreme weather, road surface temperature (RST), which threatens the safety of people's travel, has attracted more and more attention to the government and citizens. However, traditional methods are hard to meet real-time requirements in forecasting RST. In order to improve the predictive accuracy of RST and meet the real-time requirement, this paper compares three different machine learning algorithms including, Least Absolute Shrinkage and Selection Operator (LASSO), Random Forest (RF) and Gradient Boosting Regression Tree (GBRT). Using the RST data and BJ-RUC (Beijing-rapidly update cycle) data during November 2012 and June 2015, the performance of three models is evaluated. The experimental results show that GBRT performs the best and its MSE is 6.7853.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"14 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":"115405271","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}
Caiyun Yang, Jianqiang Li, Jijiang Yang, Shi Chen, Qing Wang, Hui Pan, Siyuan Liang, W. Qiu
Oral squamous cell carcinoma (OSCC) represents more than 90% of all oral cancers. The etiology of the disease has been linked to genetics. To determine OSCC-associated genes, researchers usually test if the mean expression level of a gene among OSCC patients is different from that among non-OSCC patients. Recently, researchers found that genes having different variances between two biological states are also relevant to the disease of interest. To the best of our knowledge, no differential variability analysis has been conducted to investigate the genetic risk factors of OSCC yet. In this article, we identified genes differentially variable between the OSCC cases and controls by using the Brown-Forsythe test (BF test) based on two public available gene expression data sets (GSE30784 and GSE6791) from the Gene Expression Omnibus. By using the discovery set, we identified 2,904 DV gene probes, among which 456 DV probes were replicated by the validation set. Our results showed that differential variable genes could provide additional information about the mechanisms of OSCC.
{"title":"Differentially Variable Genes of Oral Squamous Cell Carcinoma","authors":"Caiyun Yang, Jianqiang Li, Jijiang Yang, Shi Chen, Qing Wang, Hui Pan, Siyuan Liang, W. Qiu","doi":"10.1145/3265689.3265711","DOIUrl":"https://doi.org/10.1145/3265689.3265711","url":null,"abstract":"Oral squamous cell carcinoma (OSCC) represents more than 90% of all oral cancers. The etiology of the disease has been linked to genetics. To determine OSCC-associated genes, researchers usually test if the mean expression level of a gene among OSCC patients is different from that among non-OSCC patients. Recently, researchers found that genes having different variances between two biological states are also relevant to the disease of interest. To the best of our knowledge, no differential variability analysis has been conducted to investigate the genetic risk factors of OSCC yet. In this article, we identified genes differentially variable between the OSCC cases and controls by using the Brown-Forsythe test (BF test) based on two public available gene expression data sets (GSE30784 and GSE6791) from the Gene Expression Omnibus. By using the discovery set, we identified 2,904 DV gene probes, among which 456 DV probes were replicated by the validation set. Our results showed that differential variable genes could provide additional information about the mechanisms of OSCC.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"49 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":"124023823","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}
Due to the increasing demand for public services, as a new form of public governance, e-participation has emerged. Mapping knowledge domains can directly reveal the research status and frontiers. We take 1322 articles on e-participation published in Web of Science from 2001 to 2017 as research object. Then run the information visualization software CiteSpace to drill deeper into the literature data. The study found that: E-participation through social media is gradually becoming the new research focus.
随着公共服务需求的不断增长，电子参与作为一种新的公共治理形式应运而生。绘制知识领域可以直接揭示研究现状和前沿。我们以2001年至2017年在Web of Science上发表的1322篇关于电子参与的文章为研究对象。然后运行信息可视化软件CiteSpace对文献数据进行更深入的挖掘。研究发现:通过社交媒体进行电子参与正逐渐成为新的研究焦点。
{"title":"Emerging trends in E-participation: a scientometric analysis in CiteSpace","authors":"Tuotuo Qi, Tianmei Wang, Yanlin Ma, Wei Zhang, Yan-chun Zhu","doi":"10.1145/3265689.3265694","DOIUrl":"https://doi.org/10.1145/3265689.3265694","url":null,"abstract":"Due to the increasing demand for public services, as a new form of public governance, e-participation has emerged. Mapping knowledge domains can directly reveal the research status and frontiers. We take 1322 articles on e-participation published in Web of Science from 2001 to 2017 as research object. Then run the information visualization software CiteSpace to drill deeper into the literature data. The study found that: E-participation through social media is gradually becoming the new research focus.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"34 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":"124638160","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}
Leiju Qiu, Yang Zhao, Qian Liu, Baowen Sun, Xiaolin Wu
The crowd intelligence network is a fusion system comprised with physical space, information space and conscious space. All interactions among various agents can be viewed as the transaction activity or behavior in the crowd intelligence network. In this study, we analyze the transaction modes and rules from the perspective of crowd science. We review the transaction modes and rules and further develop four modes for the intelligent transactions based on the modularization level of the transaction objects and the quantity of transaction subjects, including the demand side and the supply side. We also show representative examples to further illustrate rules and features of these transaction modes.
{"title":"Transaction Modes and Rules in the Perspective of Crowd Science","authors":"Leiju Qiu, Yang Zhao, Qian Liu, Baowen Sun, Xiaolin Wu","doi":"10.1145/3265689.3265703","DOIUrl":"https://doi.org/10.1145/3265689.3265703","url":null,"abstract":"The crowd intelligence network is a fusion system comprised with physical space, information space and conscious space. All interactions among various agents can be viewed as the transaction activity or behavior in the crowd intelligence network. In this study, we analyze the transaction modes and rules from the perspective of crowd science. We review the transaction modes and rules and further develop four modes for the intelligent transactions based on the modularization level of the transaction objects and the quantity of transaction subjects, including the demand side and the supply side. We also show representative examples to further illustrate rules and features of these transaction modes.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"20 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":"132150420","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}
Zhiwen Pan, Wen Ji, Yiqiang Chen, L. Dai, Jun Zhang
The disability datasets is the datasets which contains the information of disabled populations. By analyzing these datasets, professionals who work with disabled populations can have a better understanding of how to make working plans and policies, so that they support the populations in a better way. In this paper, we proposed a big data management and mining approach for disability datasets. The contributions of this paper are follows: 1) our proposed approach can improve the quality of disability data by estimating miss attribute values and detecting anomaly and low-quality data instances. 2) Our proposed approach can explore useful patterns which reflect the correlation, association and interactional between the disability data attributes. Experiments are conducted at the end to evaluate the performance of our approach.
{"title":"Big Data Management and Analytics for Disability Datasets","authors":"Zhiwen Pan, Wen Ji, Yiqiang Chen, L. Dai, Jun Zhang","doi":"10.1145/3265689.3265721","DOIUrl":"https://doi.org/10.1145/3265689.3265721","url":null,"abstract":"The disability datasets is the datasets which contains the information of disabled populations. By analyzing these datasets, professionals who work with disabled populations can have a better understanding of how to make working plans and policies, so that they support the populations in a better way. In this paper, we proposed a big data management and mining approach for disability datasets. The contributions of this paper are follows: 1) our proposed approach can improve the quality of disability data by estimating miss attribute values and detecting anomaly and low-quality data instances. 2) Our proposed approach can explore useful patterns which reflect the correlation, association and interactional between the disability data attributes. Experiments are conducted at the end to evaluate the performance of our approach.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"19 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":"126660555","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}
Automatic Sleep Stage Classification (ASSC) plays an important role in the diagnosis of sleep related diseases. However, due to the complexity of mathematical modelling, ASSC has many difficulties. At the same time, the rapid fluctuations between the adjacent sleep stages make it difficult to extract features, resulting in an inaccurate classification of a period of electroencephalogram (EEG) sleep. In order to solve the above problems, this paper proposes a sleep stage classification method based on convolutional neural network and long-term short-term memory network (CNN-LSTM). The method applies CNN to extract spatial features from the original data and LSTM to extract temporal features and adopt softmax to classify these features. To verify the proposed method, we tested it on a public data set called ISRUC-Sleep and compared it with several state-of-the-art methods. The experimental results show that the proposed method significantly improves the accuracy of sleep staging and achieves better results.
{"title":"A Study on Automatic Sleep Stage Classification Based on CNN-LSTM","authors":"Yang Yang, Xiangwei Zheng, Feng Yuan","doi":"10.1145/3265689.3265693","DOIUrl":"https://doi.org/10.1145/3265689.3265693","url":null,"abstract":"Automatic Sleep Stage Classification (ASSC) plays an important role in the diagnosis of sleep related diseases. However, due to the complexity of mathematical modelling, ASSC has many difficulties. At the same time, the rapid fluctuations between the adjacent sleep stages make it difficult to extract features, resulting in an inaccurate classification of a period of electroencephalogram (EEG) sleep. In order to solve the above problems, this paper proposes a sleep stage classification method based on convolutional neural network and long-term short-term memory network (CNN-LSTM). The method applies CNN to extract spatial features from the original data and LSTM to extract temporal features and adopt softmax to classify these features. To verify the proposed method, we tested it on a public data set called ISRUC-Sleep and compared it with several state-of-the-art methods. The experimental results show that the proposed method significantly improves the accuracy of sleep staging and achieves better results.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"28 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":"115050334","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}
This paper aims to study the intelligent recommendation algorithm and Crowd-designing Clothing Industry (CDCI) model to propose a new intelligent matching algorithm called CDCI-matching algorithm and correspondingly improve the CDCI model. The algorithm draws on the principle of Page Rank and method of graph computing. Different from the original ones, we optimize the algorithm with the expansion of graph and rational set of the edge weight to match the application scenarios of the improved CDCI model. Further more, in order to illustrate the effectiveness and soundness of the model, the algorithm will be used to implement real matching process in the prototype system of novel E-commerce platform.
{"title":"An Intelligent Matching Algorithm of CDCI Model","authors":"Yixuan Nan, Yi Liu, Y. Chai","doi":"10.1145/3265689.3265713","DOIUrl":"https://doi.org/10.1145/3265689.3265713","url":null,"abstract":"This paper aims to study the intelligent recommendation algorithm and Crowd-designing Clothing Industry (CDCI) model to propose a new intelligent matching algorithm called CDCI-matching algorithm and correspondingly improve the CDCI model. The algorithm draws on the principle of Page Rank and method of graph computing. Different from the original ones, we optimize the algorithm with the expansion of graph and rational set of the edge weight to match the application scenarios of the improved CDCI model. Further more, in order to illustrate the effectiveness and soundness of the model, the algorithm will be used to implement real matching process in the prototype system of novel E-commerce platform.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"18 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":"115448936","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}
It is an important research topic to study the evolution of the middlemen's specialization in the e-commerce environment. The study is of great significance for the evaluation of the level and forecasting of the development of e-commerce industry. This paper presents a new definition of transaction efficiency based on the quantity of essential services and builds a middleman's specialized production decision model. By using the inframarginal analysis to solve the model, there are 4 basic patterns obtained. The results show that a middleman's specialized production decision is determined by the relationship of the transaction efficiency between factories, middlemen and consumers. If the transaction efficiency from factories to middlemen and that from middlemen to consumers remain unchanged, the increase of transaction efficiency from factories to consumers will enable middlemen to produce more types of services. When a certain threshold is reached, middlemen will turn to service providers who produce only one type of service.
{"title":"Analysis of Middlemen's Decisions on Production and Business Models in the E-Commerce Environment","authors":"Li Wang, Y. Chai, Yi Liu","doi":"10.1145/3265689.3265698","DOIUrl":"https://doi.org/10.1145/3265689.3265698","url":null,"abstract":"It is an important research topic to study the evolution of the middlemen's specialization in the e-commerce environment. The study is of great significance for the evaluation of the level and forecasting of the development of e-commerce industry. This paper presents a new definition of transaction efficiency based on the quantity of essential services and builds a middleman's specialized production decision model. By using the inframarginal analysis to solve the model, there are 4 basic patterns obtained. The results show that a middleman's specialized production decision is determined by the relationship of the transaction efficiency between factories, middlemen and consumers. If the transaction efficiency from factories to middlemen and that from middlemen to consumers remain unchanged, the increase of transaction efficiency from factories to consumers will enable middlemen to produce more types of services. When a certain threshold is reached, middlemen will turn to service providers who produce only one type of service.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"199 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":"131492831","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}
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