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

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Sentence-Level Sign Language Recognition Using RF signals 使用射频信号的句子级手语识别
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963177
Xianjia Meng, Lin Feng, Xiao Yin, Huanting Zhou, Chang Sheng, Chongyang Wang, A. Du, Linzhi Xu
{"title":"Sentence-Level Sign Language Recognition Using RF signals","authors":"Xianjia Meng, Lin Feng, Xiao Yin, Huanting Zhou, Chang Sheng, Chongyang Wang, A. Du, Linzhi Xu","doi":"10.1109/BESC48373.2019.8963177","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963177","url":null,"abstract":"Sign language recognition is emerging as a vital component of our smart life. In addition, commercial RFID shall become a popular technology for sign language recognition. As we all know, there are 70 million deaf people using sign language as their first language and sign language can facilitate communication with deaf people. However, most of the researches are isolated word recognition. There is few researches about sentence-level sign language recognition. More importantly, they are limited and it is difficult to achieve the desired results of realworld applications. So this paper introduces the first sentence-level sign language recognition system based on RFID. It mainly collects the phase sequence of signals received by commercial RFID device. We obtain relatively pure phase characteristics and present a method to carry out sign language segmentation. Effective feature extraction and classifier selection are crucial to sign language recognition. By evaluating our system in real-word environment, we fill in the gaps between corresponding low-cost sentence-level sign language recognition. We implement and evaluate through extensive experiments and the average accuracy of the method are 96% and 98.11% in different multipath scenarios. The results show that our method has high recognition accuracy and robustness.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"28 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":"116637898","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
The Social Mentality of Netizens in the Guangdong-Hong Kong-Macao Greater Bay Area: Big Data Monitoring of Social Media 粤港澳大湾区网民的社会心态:社交媒体的大数据监测
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963377
Zhongxuan Lin, Lingnan He, Kaisheng Lai
{"title":"The Social Mentality of Netizens in the Guangdong-Hong Kong-Macao Greater Bay Area: Big Data Monitoring of Social Media","authors":"Zhongxuan Lin, Lingnan He, Kaisheng Lai","doi":"10.1109/BESC48373.2019.8963377","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963377","url":null,"abstract":"In 2019, the development plan for the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) was officially announced. This will be a useful boost to cooperation among Hong Kong, Macao, and the Pan-Pearl River Delta, and requires positive social mentality as a driving force. Analyzing the netizens' expression on social media has become the most important method to comprehend social mentality. Therefore, this study explores the social mentality of GBA netizens through social cognition, social perception, and social development efficiency. Specifically, this study utilizes big data methods to analyze how netizens in the GBA describe their social mentality.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"173 9 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":"123035557","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
Personalized Recommendation Method of POI Based on Deep Neural Network 基于深度神经网络的POI个性化推荐方法
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963449
Yuan Gao, Zhizhou Duan, Weifeng Shi, Jun Feng, Yao-Yi Chiang
{"title":"Personalized Recommendation Method of POI Based on Deep Neural Network","authors":"Yuan Gao, Zhizhou Duan, Weifeng Shi, Jun Feng, Yao-Yi Chiang","doi":"10.1109/BESC48373.2019.8963449","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963449","url":null,"abstract":"With the rapid development of Location-based social networks (LBSN), there is a growing demand for location services. How to use the users' historical check-in data for exploring their visit patterns and preference characteristics to realize personalized point-of-interest (POI) recommendation has become an important topic. Finding valid features from the check-in data is the key to POI recommendation. Deep learning is a multi-level representation learning method, which can better explore the relationship between features. Therefore, a new POI recommendation model named DLM based on deep neural network is proposed in this paper. This model incorporates topic features, user preference features and geographical factor features in the LBSN into the POI recommendation tasks, thereby it improves the efficiency of users' personalized POI recommendation. A lot of experiments on public data set Foursquare have proved the advantages and effectiveness of the proposed method.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"14 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":"131277704","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
The Social Media Ecology of Guangdong-Hong Kong-Macao Greater Bay Area based on Big Data Method 基于大数据方法的粤港澳大湾区社交媒体生态研究
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963164
{"title":"The Social Media Ecology of Guangdong-Hong Kong-Macao Greater Bay Area based on Big Data Method","authors":"","doi":"10.1109/BESC48373.2019.8963164","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963164","url":null,"abstract":"Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has been one of the most important issue in Chinese social media, since the officially announced. As an important national development strategy, this issue has received attention from the central media, regional official media, institutional organizations, and other wemedia. Therefore, this study explores to analyze the social media ecology of GBA in order to make a preliminary evaluation on the social communication effect of this topic.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"44 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":"132620194","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
Effect of Doctor's Reputation on Patient Appointment in Online Health Communities 在线健康社区中医生声誉对患者预约的影响
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963401
Q. Yin, Yijie Wang, Guofeng Zhan, Lun Li
{"title":"Effect of Doctor's Reputation on Patient Appointment in Online Health Communities","authors":"Q. Yin, Yijie Wang, Guofeng Zhan, Lun Li","doi":"10.1109/BESC48373.2019.8963401","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963401","url":null,"abstract":"Research scarcely explores whether the effect of doctor's reputation on the first-visiting and revisiting patients are identical in online health communities (OHCs). Based on Reputation Theory, the effect of doctor's online and offline reputations on first-visiting and revisiting patients are investigated by using the data from an online medical community. Moreover, the moderating roles of doctor's personal effort and patient disease type are explored. Doctor's reputation can be seen to have a stronger effect on revisiting patient than first-visiting patient. Specifically, doctor's online reputation exerts a positive effect on both first-visiting and revisiting patients, whereas doctor's medical title in doctor's offline reputation has no significant effect. Research results have significant practical values to promote the making of a tendentious resource arrangement in the OHCs.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"137 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":"133747087","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 Preliminary Study for The Risk of Probabilistic Blockchain Protocols 概率区块链协议风险的初步研究
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963205
Buti Sello, Xiaohui Tao, J. Yong
{"title":"A Preliminary Study for The Risk of Probabilistic Blockchain Protocols","authors":"Buti Sello, Xiaohui Tao, J. Yong","doi":"10.1109/BESC48373.2019.8963205","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963205","url":null,"abstract":"Blockchain as an emergent technology is quickly gaining ground as a decentralised distributed trustless database in the form of a linked-list data structure. This paper discusses the non-deterministic nature of public blockchain consensus protocols and argues that the probabilistic validity of a new block does not provide adequate guarantees of accuracy and integrity which in the case of cryptocurrencies could result in quite substantial asset losses. The contribution this paper adds is to spark a new line of thinking in regards to the validity of data in blockchains.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"64 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":"114349727","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
Single Image Dehazing Algorithm Based on Sky Segmentation 基于天空分割的单幅图像去雾算法
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963104
Y. Tang, Teng Huang, Chuanming Song
{"title":"Single Image Dehazing Algorithm Based on Sky Segmentation","authors":"Y. Tang, Teng Huang, Chuanming Song","doi":"10.1109/BESC48373.2019.8963104","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963104","url":null,"abstract":"Bad weather reduces the imaging quality of the intelligent vision system, such as haze and fog. Thus, haze removal has received wide attention from researchers. Most algorithms often suffer from color distortion and edge loss when dealing with the images containing large areas of sky. In this paper, we propose an effective dehazing method. The iterative threshold segmentation is used to segment the sky region out from the image, and then the brightness of the sky region is adjusted to increase clarity. The improved dark channel priori is used to process the rest regions. The transmission map is estimated by fast bilateral filtering. Finally, the two regions are merged together to get the haze removal result. Our algorithm achieves a clear and natural haze-free image, and has a faster processing speed. Meanwhile, it is universal and real-time in practical application.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"120 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":"117169005","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
Micro-blog User Profiling: A Supervised Clustering based Approach for Age and Gender Classification 微博用户分析:一种基于监督聚类的年龄和性别分类方法
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963155
J. Qiu, Lin Li, Yunpei Zheng
{"title":"Micro-blog User Profiling: A Supervised Clustering based Approach for Age and Gender Classification","authors":"J. Qiu, Lin Li, Yunpei Zheng","doi":"10.1109/BESC48373.2019.8963155","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963155","url":null,"abstract":"User profiling is the process of tagging user attributes, such as gender, age, location and so on. Currently the popular way is to do classification by treating attributes as labels. In addition, ensemble classifications are used to future improve classification quality. However, the base classifier of traditional ensemble classification is trained by using random sampling, which cannot guarantee a constantly good classification performance. This paper proposes a supervised clustering of ensemble classification approach to tag micro-blog users with age and gender attributes. The proposed approach is to divide the training data with a same label into multiple clusters and then combine different clusters from training data with different labels into training data subsets. Each subset is used to train a base classifier. Experimental results show that the proposed approach can improve the gender and age classification accuracy classification by 1.79 % and 0.67 % respectively, compared with the traditional ensemble classification approach.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"10 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":"127765431","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
Word Sense Guessing: A Knowledge Graph based Approach 词义猜测:基于知识图谱的方法
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963023
Yiming Wei, Zhi-Yong Peng, Tan Dai
{"title":"Word Sense Guessing: A Knowledge Graph based Approach","authors":"Yiming Wei, Zhi-Yong Peng, Tan Dai","doi":"10.1109/BESC48373.2019.8963023","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963023","url":null,"abstract":"In order to tackle issues of traditional corpus, such as low updating rate, we propose a novel corpus based on Knowledge Graph. In this paper we do experiments that are particularly designed to use one specific sense guessing model. This paper also compares the results of experiments which are respectively based on traditional and novel ones.","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":"122231844","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
How Patent Protection Policies and Collectivism Culture Together Impact National Innovation? 专利保护政策与集体主义文化如何共同影响国家创新?
2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963339
T. Xue, Yantong Di
{"title":"How Patent Protection Policies and Collectivism Culture Together Impact National Innovation?","authors":"T. Xue, Yantong Di","doi":"10.1109/BESC48373.2019.8963339","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963339","url":null,"abstract":"In order to disclose the impacting mechanisms of patent protection policies and collectivism on innovation, this study collected data from different sources for 26 countries, analyzed the main effect and the interactive effect of patent policies index of 2010 and collectivism culture of different kinds and sources on the innovation process and performance presented by different index from 2010–2012, containing innovation input, innovation output, GIl and GCI. There are some interesting results. This study confirms the specific effect of patent protection policy on innovation and the extensive effect of culture on innovation and comprehensive competitiveness. Besides, it reveals the negative moderating effect of the practice dimension of institution collectivism as well as positive moderating effect of the value dimension of in-group collectivism on the impact of patent policies on innovation.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"2 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":"116771710","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
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