Abstract
As small cities, university campuses contain many opportunities for smart city applications to increase service quality and efficient use of public resources. Enabling technologies for Industry 4.0 play an important role in the goal of building a smart campus. An earlier work of the authors proposed a framework that was proposed for the development of a smart campus applications. It was the digital transformation process of İzmir Bakırçay University which is a newly established university in Turkey. This study is related to the final part of the developed framework. It aims to systematically develop a software for a sustainable and smart campus. V-model software development methodology was followed in the study. The methodology was applied for the corresponding stage which mainly includes real-time analytics, monitoring, reporting and performance management. The data flow diagrams were presented at three levels, a context diagram for a basic form of the system and parent diagram for the detailed software modules, and a child diagram for a selected module. This study can guide to the following researches to create a smart campus framework and a real-time analytics software.
Keywords
real-time analytics smart campus software development methodology data flow diagram context diagram
References
- M. W. Sari, P. W. Ciptadi, and R. H. Hardyanto, “Study ofsmart campus development using internet of things technology,” IOP Conference Series: Materials Science and Engineering, vol. 190, no. 1, p. 012032, 2017.
- A. Majeed and M. Ali, “How internet-of-things (iot) making the university campuses smart? QA higher education(QAHE) perspective,” in2018 IEEE 8th Annual Computingand Communication Workshop and Conference (CCWC), pp. 646–648, IEEE, 2018.
- X. Zhai, Y. Dong, and J. Yuan, “Investigating learners’ technology engagement-a perspective from ubiquitous game-based learning in smart campus,”IEEE Access, vol. 6, pp. 10279–10287, 2018.
- W. Zhang, X. Zhang, and H. Shi, “MMCSACC: A multi-source multimedia conference system assisted by cloud computing for smart campus,” IEEE Access, vol. 6,pp. 35879–35889, 2018.
- Y.-B. Lin, L.-K. Chen, M.-Z. Shieh, Y.-W. Lin, and T.-H. Yen, “Campustalk: IOT devices and their interesting features on campus applications,” IEEE Access, vol. 6, pp. 26036–26046, 2018.
- M. Alvarez-Campana, G. L ́opez, E. V ́azquez, V. Villagr ́a,and J. Berrocal, “Smart cei moncloa: An iot-based platform for people flow and environmental monitoring on asmart university campus,” Sensors, vol. 17, no. 12, p. 2856, 2017.
- J. Toutouh, J. Arellano, and E. Alba, “Bipred: a bilevelevolutionary algorithm for prediction in smart mobility,”Sensors, vol. 18, no. 12, p. 4123, 2018.
- A. Hannan, S. Arshad, M. A. Azam, J. Loo, S. H. Ahmed, M. F. Majeed, and S. C. Shah, “Disaster management system aided by named data network of things: Architecture, design, and analysis,” Sensors, vol. 18, no. 8, p. 2431, 2018.
- Z. N. Kostepen, E. Akkol, O. Dogan, S. Bitim, and A. Hiziroglu, “A framework for sustainable and data-driven smart campus.,” in ICEIS, pp. 746–753, 2020.
- M. Manimaran, A. Shanmugam, P. Parimalam, N. Murali,and S. S. Murty, “Software development methodology forcomputer based I&C systems of prototype fast breeder reactor,”Nuclear Engineering and Design, vol. 292, pp. 46–56, 2015.
- M. Sanfridson, “Timing problems in distributed real-time computer control systems,” tech. rep., Mechatronics Lab, Dept. of Machine Design, Royal Inst. of Technology, Stockholm, 2000.
- L. Wang, “Get real: Real time software design for safety-and mission-critical systems with high dependability,” IEEE Industrial Electronics Magazine, vol. 2, no. 1, pp. 31–40, 2008.
- A. M. Davis, E. H. Bersoff, and E. R. Comer, “A strategy for comparing alternative software development lifecycle models,” IEEE Transactions on software Engineering, vol. 14, no. 10, pp. 1453–1461, 1988.
- R. S. Pressman, Software engineering: a practitioner’s approach. Palgrave macmillan, 2005.
- K. C. Laudon, J. P. Laudon, et al., Management information systems. Pearson Upper Saddle River, 2015.
Abstract
References
- M. W. Sari, P. W. Ciptadi, and R. H. Hardyanto, “Study ofsmart campus development using internet of things technology,” IOP Conference Series: Materials Science and Engineering, vol. 190, no. 1, p. 012032, 2017.
- A. Majeed and M. Ali, “How internet-of-things (iot) making the university campuses smart? QA higher education(QAHE) perspective,” in2018 IEEE 8th Annual Computingand Communication Workshop and Conference (CCWC), pp. 646–648, IEEE, 2018.
- X. Zhai, Y. Dong, and J. Yuan, “Investigating learners’ technology engagement-a perspective from ubiquitous game-based learning in smart campus,”IEEE Access, vol. 6, pp. 10279–10287, 2018.
- W. Zhang, X. Zhang, and H. Shi, “MMCSACC: A multi-source multimedia conference system assisted by cloud computing for smart campus,” IEEE Access, vol. 6,pp. 35879–35889, 2018.
- Y.-B. Lin, L.-K. Chen, M.-Z. Shieh, Y.-W. Lin, and T.-H. Yen, “Campustalk: IOT devices and their interesting features on campus applications,” IEEE Access, vol. 6, pp. 26036–26046, 2018.
- M. Alvarez-Campana, G. L ́opez, E. V ́azquez, V. Villagr ́a,and J. Berrocal, “Smart cei moncloa: An iot-based platform for people flow and environmental monitoring on asmart university campus,” Sensors, vol. 17, no. 12, p. 2856, 2017.
- J. Toutouh, J. Arellano, and E. Alba, “Bipred: a bilevelevolutionary algorithm for prediction in smart mobility,”Sensors, vol. 18, no. 12, p. 4123, 2018.
- A. Hannan, S. Arshad, M. A. Azam, J. Loo, S. H. Ahmed, M. F. Majeed, and S. C. Shah, “Disaster management system aided by named data network of things: Architecture, design, and analysis,” Sensors, vol. 18, no. 8, p. 2431, 2018.
- Z. N. Kostepen, E. Akkol, O. Dogan, S. Bitim, and A. Hiziroglu, “A framework for sustainable and data-driven smart campus.,” in ICEIS, pp. 746–753, 2020.
- M. Manimaran, A. Shanmugam, P. Parimalam, N. Murali,and S. S. Murty, “Software development methodology forcomputer based I&C systems of prototype fast breeder reactor,”Nuclear Engineering and Design, vol. 292, pp. 46–56, 2015.
- M. Sanfridson, “Timing problems in distributed real-time computer control systems,” tech. rep., Mechatronics Lab, Dept. of Machine Design, Royal Inst. of Technology, Stockholm, 2000.
- L. Wang, “Get real: Real time software design for safety-and mission-critical systems with high dependability,” IEEE Industrial Electronics Magazine, vol. 2, no. 1, pp. 31–40, 2008.
- A. M. Davis, E. H. Bersoff, and E. R. Comer, “A strategy for comparing alternative software development lifecycle models,” IEEE Transactions on software Engineering, vol. 14, no. 10, pp. 1453–1461, 1988.
- R. S. Pressman, Software engineering: a practitioner’s approach. Palgrave macmillan, 2005.
- K. C. Laudon, J. P. Laudon, et al., Management information systems. Pearson Upper Saddle River, 2015.
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Articles |
| Authors | |
| Publication Date | April 30, 2021 |
| Submission Date | February 14, 2021 |
| Acceptance Date | March 3, 2021 |
| Published in Issue | Year 2021Volume: 4 Issue: 1 |
Cited By
Akıllı Kampüs Model Önerisi
İstanbul Sabahattin Zaim Üniversitesi Fen Bilimleri Enstitüsü Dergisi
https://doi.org/10.47769/izufbed.1360200
Process Mining Methodology for Digital Processes under Smart Campus Concept
Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi
https://doi.org/10.35193/bseufbd.1162284
The papers in this journal are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License