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检索条件"任意字段=International Conference on Intelligent and Smart Computing in Data Analytics, ISCDA 2020"

共 3245 条记录，以下是1161-1170 订阅

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The Risk of Infringement of Personal Information Collected During the "User Profile" Process in the Era of Big data

The Risk of Infringement of Personal Information Collected D...

引用

international conference on Multi-modal Information analytics, MMIA 2021

作者： Cao, Xiaojuan School of Culture and Media Xi’an Eurasia University Xi’an Shaanxi710065 China

ISBN: (纸本)9783030748104

The introduction of "user portraits" in the field of information dissemination can provide users with personalized services, but user portraits are based on the collection and use of personal information and face the risk of personal information security infringement. The regulation of information security infringement in user portraits is an urgent problem to be solved. The core of the risk of infringement of user portraits is the ownership of personal information, and it reflects the value selection of users. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Information dissemination

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international Trade Fairs Based on Big data

International Trade Fairs Based on Big Data

引用

international conference on Multi-modal Information analytics, MMIA 2021

作者： Bai, Wei Wang, Chunshu Bai, Xue HaoJing College of Shaanxi University of Science and Technology Xi’an Shaanxi China

ISBN: (纸本)9783030748104

The application of big data is very important to understand how they consume in the decision-making and internationalization of SMEs. This research mainly discusses the impact analysis of international trade exhibitions based on big data. According to the list of the top 50,000 companies in the total import and export value of the country issued by the State Administration of Foreign Exchange and the customs in 2020, the total import and export value at the median was found. When the existing financial big data analysis technology is applied to credit business or non-credit business, it is necessary to collect many business data of enterprises or individuals, including structured data such as transaction flow, historical records and accounts, the ins and outs of funds, and non-structural The collection of standardized data is becoming more and more important, such as social information, business registration information, credit information and other traditional information resources that cannot be measured and quantified. Small businesses (1–100 employees) are almost three times the penetration rate of big data business intelligence analysis for large companies of 81% or higher. This research will help solve the problem of SMEs in international trade exhibitions. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： international trade

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Analysis of FY-4 Satellite Lightning data Processing Based on MATLAB

Analysis of FY-4 Satellite Lightning Data Processing Based o...

引用

international conference on Cyber Security Intelligence and analytics (CSIA)

作者： Liu, Xiangke Chen, Leqi Deng, Meng Shang, Peng Shandong Meteorol Disaster Prevent Tech Ctr Jinan 250031 Shandong Peoples R China

ISBN: (纸本)9783030152352;9783030152345

MATLAB is a powerful tool for data analysis. After the successful launch of Fengyun-4 satellite, how to use MATLAB to read the data of Fengyun-4 satellite has become a difficult problem for researchers. This paper establishes a simple MATLAB interface to realize the lightning processing and analysis system based on MATLAB, which can realize the reading and writing of lightning data of Fengyun No. 4 by MATLAB.

关键词： NC data processing Fengyun four Lightning data MATLAB

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Spatial Econometric Analysis of House Prices in Guangdong Province Based on Big data

Spatial Econometric Analysis of House Prices in Guangdong Pr...

引用

international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Lai, Yibing Sun, Qinghui Department of Basic Courses Teaching and Research Guangdong Institute of Technology ZhaoqingGuangdong China College of Construction Guangdong Institute of Technology ZhaoqingGuangdong China

ISBN: (纸本)9783030627423

The price of houses has a great deal to do with the local economy, which influences house price to a great extent. Based on the theory of Economic Convergence, Based on big data and spatial econometric model theory, Based on big data and spatial econometric model theory, the convergence analysis of ESDA in recent ten years is conducted in Guangdong Province. The results show that there is spatial correlation but absolute β convergence is not significant, the empirical results of this paper can provide some reference for relevant departments to understand the relationship between housing prices in Guangdong Province. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Big data

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Spatial data Science of COVID-19 data 22

Spatial Data Science of COVID-19 Data

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22nd IEEE international conference on High Performance computing and Communications, 18th IEEE international conference on smart City and 6th IEEE international conference on data Science and Systems, HPCC-smartCity-DSS 2020

作者： Shang, Siyuan Leung, Carson K. Chen, Yubo Pazdor, Adam G.M. University of Manitoba Department of Computer Science WinnipegMB Canada

ISBN: (纸本)9781728176499

Huge amounts of big data can be generated and collected from a wide variety of rich data sources. Embedded in these big data are useful information and valuable knowledge. An example is healthcare and epidemiological data such as data related to patients who suffered from viral diseases like the coronavirus disease 2019 (COVID-19). Knowledge discovered from these epidemiological data via data science helps researchers, epidemiologists and policy makers to get a better understanding of the disease, which may inspire them to come up ways to detect, control and combat the disease. In this paper, we present a spatial data science system for analyzing big COVID-19 epidemiological data, with focus on the spatial data analytics among different geographic locations. The system helps users to get a better understanding of information about the confirmed cases of COVID-19. Evaluation results show the benefits of our system in spatial data analytics of big COVID-19 data. © 2020 IEEE.

关键词： Coronavirus

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An Encryption Method of Power Cloud data Based on n-RSA 16th

An Encryption Method of Power Cloud Data Based on n-RSA

引用

16th international conference on intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2020 in conjunction with the 13th international conference on Frontiers of Information Technology, Applications and Tools, FITAT 2020

作者： Wang, Yong Ma, Qiang Li, Lei Guan, Ti Geng, Yujie Yao, Shuowang Li, Jianpo State Grid Shandong Electric Power Company Jinan250000 China School of Computer Science Northeast Electric Power University Jilin132012 China

ISBN: (纸本)9789813364196

With the development and progress of the Internet, the traditional grids are unable to meet the needs of the power industry. The development of the power industry requires the support of cloud computing technology. However, the storage and calculation of data are performed in the cloud, which threatens the privacy issues of power users and institutions. In this issue, this paper proposes a multi-level security model of the n-RSA encryption algorithm to solve the privacy problem of sensitive data transmitting in the cloud. Firstly, the power cloud security center conducts a security assessment of the data and determines the security level. Then, select the appropriate prime number for the n-RSA algorithm according to the security level of the data. The detailed steps of the proposed method for n-RSA encryption are given, and the advantages and disadvantages of this method for power cloud are analyzed. Experimental results show that the proposed method can effectively improve the security and flexibility of the secure transmission of power cloud data. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cloud security

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Research on control method of intelligent air-conditioning system in smart city

Research on control method of intelligent air-conditioning s...

引用

2020 international conference on intelligent Transportation, Big data and smart City, ICITBS 2020

作者： Long, Jiao Chongqing Industry Polytechnic College Chongqing401120 China

ISBN: (纸本)9781728166971

In order to realize the intellectualization of intelligent urban air-conditioning system, this paper puts forward a novel control method of intelligent air-conditioning system based on a variety of advanced science and technology. This method integrates a variety of advanced science and technology, such as big data technology, cloud computing technology, Internet of things technology and so on. The research results show that this method can fundamentally scientifically and effectively improve the stability and safety of air-conditioning operation, and achieve the goal of energy saving and green development. © 2020 IEEE.

关键词： Control systems

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WEKA Result Reader—A smart Tool for Reading and Summarizing WEKA Simulator Files 8th

WEKA Result Reader—A Smart Tool for Reading and Summarizing...

引用

8th international conference on Frontiers of intelligent computing: Theory and Applications, FICTA 2020

作者： Panigrahi, Ranjit Borah, Samarjeet Chakraborty, Udit Kumar Sikkim Manipal Institute of Technology Sikkim Manipal University Gangtok737136 India

ISBN: (纸本)9789811557873

The Waikato Environment for Knowledge Analysis (WEKA) is popular tool for knowledge discovery and analysis. Researchers prefer WEKA over other similar tools due to the vast set of preprocessing and visualization mechanisms that it has to offer. Aimed at measuring performance of various supervised and unsupervised classification and clustering techniques, WEKA offers a wide range of data exploration facilities. However, a major shortcoming of this powerful tool is the output that it generates. Stored in ASCII, these files need manual conversion to spreadsheets for analysis and interpretation. Certain parameters even need recomputation, as these are returned as weighted averages. The current paper presents WEKA Result Reader a handy yet powerful tool that transforms WEKA output to spreadsheet. Thoroughly tested for system- and application-level performances, WRR proves to be a worthy and much-needed augmentation to WEKA. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Spreadsheets

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Voltage Unbalance Factors of Doubly-Fed Wind Generator Based on Big data Analysis

Voltage Unbalance Factors of Doubly-Fed Wind Generator Based...

引用

international conference on Application of intelligent Systems in Multi-modal Information analytics, MMIA 2020

作者： Wang, Na Wang, Lei Department of Transportation and Mechanical Engineering Shenyang Urban Construction University ShenyangLiaoning110167 China Yuanda New Energy Co. LTD ShenyangLiaoning110000 China

ISBN: (纸本)9783030514303

In view of the grid voltage unbalance, wind power generation system (PGS) in the variable speed gearbox, torque ripple of serious harm, unit monitoring data timeliness is strong, large amount of data, so in the process of analysis, also need a unified analysis was carried out on the wind field data, the effective analysis method based on big data is a necessity. In this paper, a dual current loop control strategy based on the separation of positive and negative sequence (PNS) components is proposed to suppress the electromagnetic torque ripple. Vector control is performed on the rotor-side converter, that is, the positive sequence component of the rotor current is controlled in the positive sequence rotating coordinate system (CS) to achieve independent regulation of active power. The model of doubly-fed wind PGS is modeled, and the characteristics of the system, such as instantaneous APRP (APRP), are analyzed. The experimental results show that the control strategy can effectively restrain the electromagnetic torque ripple, and it has a good guiding significance for wind farms to obtain good grid-connected power generation performance. © 2021, Springer Nature Switzerland AG.

关键词： Wind power

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Edge computing Based Privacy-Preserving data Aggregation Scheme in smart Grid 39

Edge Computing Based Privacy-Preserving Data Aggregation Sch...

引用

39th IEEE international Performance computing and Communications conference (IPCCC)

作者： Kang, Yuhao Guo, Songtao Li, Pan Yang, Yuanyuan Southwest Univ Coll Elect & Informat Engn Chongqing 400715 Peoples R China Chongqing Univ Coll Comp Sci Chongqing 400044 Peoples R China SUNY Stony Brook Dept Elect & Comp Engn Stony Brook NY 11794 USA

ISBN: (纸本)9781728198293

smart grid is a highly intelligent power system integrating advanced communication technology, sensor measurement and automatic control technology, which is gradually replacing the traditional power grid. However, the smart grid faces challenges of balancing privacy, efficiency and functionality when processing massive amount of data. In this paper, a smart grid model based on edge computing paradigm is established, and then an efficient privacy-preserving multidimensional data aggregation scheme is proposed. This scheme adopts an improved identity-based signature algorithm and Paillier homomorphic cryptosystem to protect the privacy of users. In addition, super-increasing sequence is used in the proposed scheme to enable smart meters to report multiple types of data in a single reporting message, so that the Service Center (SC) can perform one-way analysis of variance on the data to provide users with more personalized services. Also the security analysis indicates that the proposed scheme works in protecting user's electricity consumption privacy. Finally, performance analyses indicate that this scheme can effectively reduce the computational overhead.

关键词： smart grid Edge computing Homomorphic cryptosystem Multidimensional data aggregation Privacy-preserving

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