2021 International Conference on Digital Society and Intelligent Systems (DSInS)最新文献_第6页

Stock Prediction Based On Event Graph 基于事件图的股票预测

2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670610

Chunfu Xie

引用次数: 1

Research on the application framework of blockchain technology in digital creative industry 区块链技术在数字创意产业中的应用框架研究

2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670574

Xuetao Jin, Yijun Liu, Tianchang Zhang

{"title":"Research on the application framework of blockchain technology in digital creative industry","authors":"Xuetao Jin, Yijun Liu, Tianchang Zhang","doi":"10.1109/dsins54396.2021.9670574","DOIUrl":"https://doi.org/10.1109/dsins54396.2021.9670574","url":null,"abstract":"Blockchain which changes productivity and production relations, affects many industries. Using ASMI analysis method, this paper explores the business problems in the digital creative industry and the application of blockchain in solving the corresponding problems. The study found that before the advent of the blockchain, there were three main types of pain points in the digital creative industry: the lack of proof of existence function, the lack of coordination mechanisms among stakeholders, and the inability of the Internet to realize value transferring fully. Blockchain ensures that the information on the chain is immutable and traceable and can realize the confirmation of virtual assets and copyright and the circulation, distribution, and measurement of value. In the future, the expansion from the end of the industrial chain to the upstream and midstream, the formation of various applications with the consortium chain as the underlying protocol, cross-chain interoperability, and the application of non-fungible tokens will become the trend of the integration of blockchain and digital creative industry.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125785731","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

Semantic Model-based Dynamic Adaptation Method for Heterogeneous Peripherals of Instrument 基于语义模型的仪器异构外设动态自适应方法

2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670623

Junhua Chen, Ran Liu, Jiatong Zhang

{"title":"Semantic Model-based Dynamic Adaptation Method for Heterogeneous Peripherals of Instrument","authors":"Junhua Chen, Ran Liu, Jiatong Zhang","doi":"10.1109/dsins54396.2021.9670623","DOIUrl":"https://doi.org/10.1109/dsins54396.2021.9670623","url":null,"abstract":"Different hardware interface circuits and corresponding external device drivers and functional modules are needed to be designed and developed to meet specific product configuration requirements in the traditional instrument development model. However, due to the high coupling degree of instrument software development system architecture and inefficient management and reuse of design resources, the development of instrument devices with different peripherals (sensors, actuators, etc.) based on the same type of instrument microcontroller chip(IMC) still needs a lot of development work, which has been unable to meet the needs of the rapid development of multi-protocol, multi-service, multi-perception and multi-series instrument equipment. This paper presents a dynamic adaptation method of instrument heterogeneous peripherals based on semantic model, which can support the rapid development of product families based on the same core chip but with different peripherals. By using the instrument-specific development kit, the semantic model is customized and instantiated according to the requirement information of heterogeneous peripheral devices. Then the model instance is parsed to obtain the resource adaptation software code of the heterogeneous peripheral. In particular, this method designs the statically compiled adaptation mode and the dynamically running adaptation mode respectively for resource-constrained and resource-rich instrument forms, which can support the rapid development of a family of products with the same core chip but different peripherals as well as the dynamic replacement of peripherals during the use of instrument and equipment. The method we proposed can reduce the product cost and shorten the development cycle of instrument products compared with the traditional development mode.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114982531","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

Projections of Temperature and Precipitation in CMIP6 in Populated Cities in North America CMIP6在北美人口稠密城市的温度和降水预估

2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670629

Lai Yuan

{"title":"Projections of Temperature and Precipitation in CMIP6 in Populated Cities in North America","authors":"Lai Yuan","doi":"10.1109/dsins54396.2021.9670629","DOIUrl":"https://doi.org/10.1109/dsins54396.2021.9670629","url":null,"abstract":"Climate change in the future will be intensified unless significant actions are taken to reduce or capture anthropogenic emissions. This paper uses the recently released CMIP6 simulation data to characterize specific changes in temperature and precipitation expected to take place in 28 populated cities in North America. This practice is based on examination of temperature and precipitation in four periods defined as historical, present day, near-future, and far-future. I first evaluate city-level estimations from CMIP6 with a reanalysis data from ERA5-Land for the present day. I then characterize spatial and seasonal changes in annual and monthly temperature and precipitation in the near and far-future for the 28 cities under SSP-585. Annual mean and maximum temperatures increase in all cities, while the annual minimum temperature shows the same trend but with some exceptions. The comparison across the four periods suggests an acceleration of warming in the second half of the century. Annual precipitation, however, shows an intensification in increasing maximums and decreasing minimums in many cities examined in this study, indicating higher risk of both droughts and extreme precipitation. I discuss the implications of the projected changes in terms of occurrence of extreme events, human health, and the loss and distributional effect in future economic development of the cities. Overall, significantly higher adverse impacts are expected, and the income gap between southern and northern cities will likely be widened. These findings provide city-level implications of climate change in North America for decision-makers.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130711863","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 Study of Counterfactual Inference Based on Instrumental Variables and Machine Learning 基于工具变量和机器学习的反事实推理研究

2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/DSInS54396.2021.9670568

Youren Zhang, Wenxian Xie, Zhengxun He, Yifan Ren, Ziyan Jiang

引用次数: 0

Analysis of the application status and prospect of smart bracelets in the elderly 分析智能手环在老年人中的应用现状及前景

2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670594

Yi Gao, Li Ma, Chongqing Shi, Yanliang Yang, Lin Li

引用次数: 1

Causal Analysis of Customer Churn Using Deep Learning 利用深度学习分析客户流失的原因

2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/DSInS54396.2021.9670561

David Hason Rudd, Huan Huo, Guandong Xu

{"title":"Causal Analysis of Customer Churn Using Deep Learning","authors":"David Hason Rudd, Huan Huo, Guandong Xu","doi":"10.1109/DSInS54396.2021.9670561","DOIUrl":"https://doi.org/10.1109/DSInS54396.2021.9670561","url":null,"abstract":"Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Two main business marketing strategies play vital roles to increase market share dollar- value: gaining new and preserving existing customers. Customer acquisition cost can be five to six times that for customer retention, hence investing in customers with churn risk is smart. Causal analysis of the churn model can predict whether a customer will churn in the foreseeable future and assist enterprises to identify effects and possible causes for churn and subsequently use that knowledge to apply tailored incentives. This paper proposes a framework using a deep feedforward neural network for classification accompanied by a sequential pattern mining method on high-dimensional sparse data. We also propose a causal Bayesian network to predict cause probabilities that lead to customer churn. Evaluation metrics on test data confirm the XGBoost and our deep learning model outperformed previous techniques. Experimental analysis confirms that some independent causal variables representing the level of super guarantee contribution, account growth, and customer tenure were identified as confounding factors for customer churn with a high degree of belief. This paper provides a real-world customer churn analysis from current status inference to future directions in local superannuation funds.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132327634","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 Research of Computer Technology on the Efficiency of Visual inspection and Information Reading in Off-road Vehicles 计算机技术对非公路车辆视觉检测和信息读取效率的研究

2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670597

Yulie Wang, Boku Li

引用次数: 0

Research on Change Path Optimization for Complex Mechanical Products Considering upgrade Risk 考虑升级风险的复杂机械产品变更路径优化研究

2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670577

Qin Zhang, Jinlong Pan, Hu Chen, Yixiong Feng, Zhaoxi Hong

引用次数: 0

Bayesian based Facial Expression Recognition Transformer Model in Uncertainty 基于贝叶斯的不确定性面部表情识别变形模型

2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670628

He Zhao, Qiming Wang, Zhaozhu Jia, Yiming Chen, Jianxin Zhang

引用次数: 2