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

Big Data Analysis of Financial Risk and Avoidance Strategy—Based on Futures Industry 基于期货行业的金融风险大数据分析及规避策略

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963582

Yuan Zhang, Cao Zheng, Yutong Zhang, Murong Zheng, Xinyi Lin, Sijia Wang

引用次数: 0

Prediction and Analysis of Rumour's Impact on Social Media 谣言对社交媒体影响的预测与分析

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963595

Jun Yin, Shaowu Liu, Qian Li, Guandong Xu

引用次数: 2

3D-Mask-GAN:Unsupervised Single-View 3D Object Reconstruction 3D- mask - gan:无监督单视图3D对象重建

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963264

Qun Wan, Yidong Li, Haidong Cui, Z. Feng

{"title":"3D-Mask-GAN:Unsupervised Single-View 3D Object Reconstruction","authors":"Qun Wan, Yidong Li, Haidong Cui, Z. Feng","doi":"10.1109/BESC48373.2019.8963264","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963264","url":null,"abstract":"3D object reconstruction has always been a hot topic in computer vision. Especially in recent years, many methods of learning volumetric predictions achieve robust 3D reconstruction using deep networks with 3D convolutional operations, which are direct analogies to classical 2D ones. However, the majority of methods employ strong shape priors and exist computationally waste in predicting 3D shapes. In this paper, we propose 3D-Mask-GAN, a novel framework to efficiently accomplish the task of unsupervised single-view 3D object reconstruction. We use 3D Generative Adversarial Networks (GAN) to predict the 3D shape from the single-view image and improve reconstruction accuracy by applying 2D projection masks instead of 3D priors simultaneously. The key idea is to insert a projector (a build-in camera system to approximate the true rendering pipeline) into the framework of 3D GAN to synthesize novel masks for optimization. We learn single-class and multi-class objects to evaluate our network. Experimental results show that our framework achieves impressive performance with fewer training iterations in terms of unsupervised shape predictions.","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":"130216717","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

Research on the Influence of Distributed Accounting Technology on Accounting 分布式会计技术对会计的影响研究

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963445

Y. Zhang, Hai Liu, Jie-Huan Luo, Cao Zheng, Sijia Wang

{"title":"Research on the Influence of Distributed Accounting Technology on Accounting","authors":"Y. Zhang, Hai Liu, Jie-Huan Luo, Cao Zheng, Sijia Wang","doi":"10.1109/BESC48373.2019.8963445","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963445","url":null,"abstract":"In order to study the influence and application of blockchain technology in the field of accounting, this paper will start from the distributed of blockchain technology, combine the traditional accounting retesting accounting method for comparative analysis and introduce the DID model for empirical analysis to study the impact of the blockchain distributed accounting method on the quality of accounting information in listed companies. The result proves that in regions where blockchain technology is applied, the quality of corporate information will be better than that of regions where blockchain technology is not applicable. Then it discusses the subversion of the traditional theory of double-entry bookkeeping, which is reflected in the advantages and disadvantages of accounting and auditing. It also predicts and analyzes the application of the future blockchain distributed accounting method in the accounting industry, proposes solutions to the related issues of “Internet + Finance” andprovide suggestions forthe quickly understanding of the blockchain technology, the impact of insights into emerging technologies and development trends on existing business and how to establish a development strategy.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"47 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":"132762580","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

The Importance of Data Assets and Its Accounting Confirmation and Measurement Methods 数据资产的重要性及其会计确认和计量方法

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963312

Y. Zhang, Yuanxin Huang, Dingqing Zhang, Y. Qian

引用次数: 2

Research on Train Formation Plan Optimization in Railway Network Based on Branch-and-Price Algorithm 基于支路价格算法的铁路网列车编组计划优化研究

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963192

Wei Xiao, Y. Yue, Feng Chen

引用次数: 0

Technologies of Production with Society 5.0 生产技术与社会5.0

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963541

K. Matsuda, Shiro Uesugi, K. Naruse, M. Morita

引用次数: 4

Electricity Price Forecast using Meteorology data: A study in Australian Energy Market 基于气象数据的电价预测:澳大利亚能源市场研究

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963329

Ming Zhao, Yangyang Shu, Shaowu Liu, Guandong Xu

引用次数: 2

Titlepage

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/besc48373.2019.8963202

L. Narayan

引用次数: 0

Evaluating Connection Quality between Two Individuals in Social Networks 评价社会网络中两个人之间的联系质量

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI: 10.1109/BESC48373.2019.8963527

Yi Chen, Peihuang Huang, Longkun Guo

{"title":"Evaluating Connection Quality between Two Individuals in Social Networks","authors":"Yi Chen, Peihuang Huang, Longkun Guo","doi":"10.1109/BESC48373.2019.8963527","DOIUrl":"https://doi.org/10.1109/BESC48373.2019.8963527","url":null,"abstract":"Along the development of social networks, predicting the quality of connections between two individuals has been attracting research interest from both industrial and research community. For many social applications with the prediction requirement, the personalities (labels) of individuals within the relationship (connections) were known to have a significant impact against the analysis, observing two neighbored individuals acquiring an identical label are more likely to affect each other than those are only with different labels. In the paper, we tackle with a more practical problem in which an individual has several labels, rather than considering only an identical label for all individuals. For the task, we first present multi-label independent cascade (MIC) model which is in fact a generalization of the classical IC model, and then in a multi-label social network, we propose two algorithms for analyzing the maximum connectivity between two individuals. The first is a heuristic algorithm, which, generalizing the maximal flow algorithm, is based on repeatedly finding shortest augmenting path; the second is based on linear-programming (LP) and produces optimum solutions. At last, we evaluate the two algorithms by experiments through their practical performance and runtime.","PeriodicalId":190867,"journal":{"name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","volume":"13 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":"126095197","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