Welcome!

Hi! My name is Long NIU, and I am a Ph.D. student at Department of Computational Science, Graduate School of System Informatics, Kobe University. I research in the Computational Intelligence (Service Group).

MORE ABOUT ME

ABOUT

Research Interest

My research focuses on indoor location system and activities recognition system by using non-intrusive environment sensing data and BLE Beacon technology. My interests also include IoT, Java Programming and Web Service.

Education.

  • 2016 - current: Kobe Univ., Japan - Dr.Eng
    Advisor: Assoc. Masahide NAKAMURA

  • 2014 - 2016: Kobe Univ., Japan - M.Eng
    Master thesis: A Study of Integration Framework for Heterogeneous Indoor Positioning Systems

  • 2012 - 2014: Kobe Univ., Japan - Research Student
    Computational Intelligence (Service Group)

  • 2008 - 2012: Zhengzhou Univ., China - B.Eng.
    in Computer Science and Technology (information engineering)

Others.


RESEARCH

about img

My academia adventure

May. 2017 - current
Research Assistant @ CS24 Lab, Kobe Univ.
A Study of Improving One-person Households' Quality of Life by Using Environment Sensing and Indoor Location
This research is partially supported by Tateishi Science and Technology Foundation (C) (No.2177004).

May. 2016 - Mat. 2017
Research Assistant @ CS24 Lab, Kobe Univ.
A study of indoor location-aware service


PUBLICATIONS

  • Journal Papers

    [1]. Long Niu, Sachio Saiki, Shinsuke Matsumoto, and Masahide Nakamura, "WIF4InL: Web-Based Integration Framework for Indoor Location" International Journal of Pervasive Computing and Communications, vol.12, no.1, p.49 - 65, May 2016.

  • International Conference

    [1]. Long Niu, Sachio Saiki, and Masahide Nakamura, "Recognizing Adls of One Person Household Based on Non-Intrusive Environmental Sensing" 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2017), no.CFP1779A-USB, pp.477-482, June 2017. (Kanazawa, Japan)

    [2]. Long Niu, Sachio Saiki, and Masahide Nakamura, "Analyzing Indoor Environment Sensing Data for Recognizing Adls of One Person Household" In 2017 6th International Conference on Advanced Materials and Computer Science (ICAMCS 2017), vol.3, pp.323-329, May 2017.

    [3]. Long Niu, Sachio Saiki, Shinsuke Matsumoto, and Masahide Nakamura, "Implementation and Evaluation of Cloud-Based Integration Framework for Indoor Location" In The 17th International Conference on Information Integration and Web-based Applications & Services, December 2015. (Brussels, Belgium)

    [4]. Long Niu, Shinsuke Matsumoto, Sachio Saiki, and Masahide Nakamura, "Considering Common Data Model for Indoor Location-Aware Services" In 4th International Workshop on Location and the Web (LocWeb2014), pp.25-32, November 2014. (Shanghai, China)

  • Domestic Conference

    [1]. Long Niu,Sachio Saiki,Masahide Nakamura, "Analyzing Indoor Environment Sensing Data for Recognizing ADL of One Person Household" IEICE Technical Report, SC2017-8, vol.117, no.75, pp.41-46, June 2017. (University of Aizu(UBIC 3D) )

    [2]. Long Niu, Seiji Sakakibara, Seiki Tokunaga, Sachio Saiki, Takashi Matsubara, Masahide Nakamura, and Kuniaki Uehara, "Reasoning Daily Activities of Single Life Using Environment Sensing and Indoor Location" In IEICE Technical Report , pp.7-8, October 2016.

    [3]. Long Niu, Shinsuke Matsumoto, Sachio Saiki, and Masahide Nakamura, "Designing Query API for Indoor Location-aware Services" IEICE Technical Report, vol. 114, no.110, pp.73-78, June 2014, (in Japanese)

    [4]. Long Niu, Shinsuke Matsumoto, Sachio Saiki, and Masahide Nakamura, "Considering Common Data Model for Indoor Location-aware Services" IEICE Technical Report, vol. 113, no.479, pp.101-106,March 2014, (in Japanese)


CONTACT

Email: longniu[at]ws.cs.kobe-u.ac.jp