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CERIF: A Research Information Model for Electric Vehicles Decision Support System

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Advanced Multimedia and Ubiquitous Engineering (FutureTech 2017, MUE 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 448))

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Abstract

This paper presents the application of CERIF on the electric vehicles decision support system. Firstly, it discusses why we choose the electric vehicle industry and what’s its special requirements; how do we use CERIF to respond the challenge for the data-driven decision support and how do we carry out our data management. At last, we propose a list of summary for the application of CERIF in the electric vehicle decision support activities.

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References

  1. Pinto, C.S., Simões, C., Amaral, L.: CERIF – Is the Standard Helping to Improve CRIS? Procedia Comput. Sci. 33(01), 80–85 (2014)

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Acknowledgments

The authors would like to acknowledge the support from The National Key Technology R&D Program of the Ministry of Science and Technology of China (Grant No. 2015BAH25F02).

Author information

Authors and Affiliations

  1. National Engineering Research Center of Science and Technology Inofrmation, ISTIC, Fuxing Road No. 15, 100038, Beijing, China

    YingJie Zhang

  2. Research Department, ISTIC, Uxing Road No. 15, 100038, Beijing, China

    Na Qi

Authors
  1. YingJie Zhang
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  2. Na Qi
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Corresponding author

Correspondence to Na Qi .

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Editors and Affiliations

  1. Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    James J. (Jong Hyuk) Park

  2. School of Computing and Information Sciences, Florida International University, Miami, Florida, USA

    Shu-Ching Chen

  3. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, Adelaide, Australia

    Kim-Kwang Raymond Choo

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© 2017 Springer Nature Singapore Pte Ltd.

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Zhang, Y., Qi, N. (2017). CERIF: A Research Information Model for Electric Vehicles Decision Support System. In: Park, J., Chen, SC., Raymond Choo, KK. (eds) Advanced Multimedia and Ubiquitous Engineering. FutureTech MUE 2017 2017. Lecture Notes in Electrical Engineering, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-10-5041-1_58

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  • DOI: https://doi.org/10.1007/978-981-10-5041-1_58

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5040-4

  • Online ISBN: 978-981-10-5041-1

  • eBook Packages: EngineeringEngineering (R0)

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