Yıl 2019,
, 1218 - 1224, 01.12.2019
Raşit Cesur
,
Orhan Torkul
,
İsmail Hakkı Cedimoğlu
Seda Uçar
Kaynakça
- [1] V. Albino, U. Berardi and R. M. Dangelico, “Smart Cities: Definitions, Dimensions, Performance and Initiatives”, Journal of Urban Technology, Vol.22 No:1, s.3-21,2015.
- [2] C. Stergiou, K. E. Psannis, B. Kim, B. Gupta, “Secure integration of IoT and Cloud Computing”, Future Generation Computer Systems, 78 964–975,2018.
- [3] T. Kim, C. Ramos, S. Mohammed, “Smart City and IoT”,Future Generation Computer Systems, 79 159–162,2017.
- [4] S. S. Manvi and G. K. Shyam ,”Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey”, Journal of Network and Computer Applications,41 424–440,2014.
- [5] A. E.Çetin, K.Dimitropoulos, B.Gouverneur, N. Grammalidis, O. Günay, Y. H. Habiboǧlu, B. U. Töreyin, S. Verstockt, “Video fire detection – Review”, Digital Signal Processing,23 1827–1843,2013.
- [6] R. Kresimir, B. G. Marijana, M. Vlado, “Development of the Intelligent System for the use of University Information System”,Procedia Engineering, 69 402 – 409, 2014.
- [7] M. Karima, H. Altan, “Interactive building environments: A case study university building in UAE”,Procedia Engineering, 180 1355 – 1362,2017.
- [8] J. Gonzalez-Martínez, M. L. Bote-Lorenzo, E. Gomez-Sanchez, R.Cano-Parra, “Cloud computing and education: A state-of-the-art survey”,Computers & Education, 80 132e151, 2015.
- [9] C. Liu and N.Ahuja, “Vision Based Fire Detection”, Pattern Recognition, 1051-4651,2014.
- [10] B. U. Töreyin, Y. Dedeoğlu , U. Güdükbay , A. E. Çetin, “Computer Vision Based Method for Real-Time Fire and Flame Detection” Pattern Recognition Letters,27 49–58,2006.
- [11] Ç. Döner, G. Şimşek, K.S. Yıldırım, A. Kantarcı, “Kablosuz Algılayıcı Ağları ile Yangın Tespit Sistemi”,Gömülü Sistemler ve Uygulamaları Sempozyumu Gömsis, İstanbul Teknik Üniversitesi, İstanbul,2010.
- [12] M. Ekinci and E. Gedikli, “Silhouette Based Human Motion Detection and Analysis for Real-Time Automated Video Surveillance”, Turkish Journal of Electrical Engineering and Computer Science, 13 (2), 199-229. Retrieved from http://dergipark.gov.tr/ tbtkelektrik/issue/12091/144525, 2005.
- [13] B. Karasulu, “Videolardaki Hareketli Nesnelerin Tespit ve Takibi için Uyarlanabilir Arkaplan Çıkarımı Yaklaşımı Tabanlı Bir Sistem” Uludağ Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, Cilt 18, Sayı 1, 2013.
- [14] B. Laugraud, S. Piérard, M. V. Droogenbroeck, “LaBGen: A Method Based On Motion Detection For Generating The Background Of A Scene” Pattern Recognition Letters, 96 12–21, 2017.
- [15] F. Yuan, G. Liao, W. Fan, and H. ZHOU, “Vision Based Fire Detection Using Mixture Gaussian Model”, Fire Safety Science, DOI: 10.3801/IAFSS.FSS.8-1575, 2005
- [16] M. Dener, Y. Özkök, C. Bostancıoğlu, “Fire Detection Systems in Wireless Sensor Networks”, Procedia - Social and Behavioral Sciences,195 1846 – 1850,2015.
Intelligent Campus Implementation For Smart Cities
Yıl 2019,
, 1218 - 1224, 01.12.2019
Raşit Cesur
,
Orhan Torkul
,
İsmail Hakkı Cedimoğlu
Seda Uçar
Öz
Digital transformation has provided the
decision-making infrastructure needed to produce custom solutions for each
person. Traditional decision support systems have begun to evolve into
intelligent systems and mass customization has begun to be applied in many
areas of life, such as education, transportation, health, and production. In
order to achieve digital transformation in teaching, it is necessary not only
to focus on the teaching process but also to focus on environmental factors.
The provision of digital content and the performance of the student are carried
out in the digital environment with education technologies. It is aimed to
maintain sustainability of the environmental quality by following the digital
environment by means of digital transformation and to improve the teaching
processes with intelligent systems that will interfere immediately in emergency
situations.
Kaynakça
- [1] V. Albino, U. Berardi and R. M. Dangelico, “Smart Cities: Definitions, Dimensions, Performance and Initiatives”, Journal of Urban Technology, Vol.22 No:1, s.3-21,2015.
- [2] C. Stergiou, K. E. Psannis, B. Kim, B. Gupta, “Secure integration of IoT and Cloud Computing”, Future Generation Computer Systems, 78 964–975,2018.
- [3] T. Kim, C. Ramos, S. Mohammed, “Smart City and IoT”,Future Generation Computer Systems, 79 159–162,2017.
- [4] S. S. Manvi and G. K. Shyam ,”Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey”, Journal of Network and Computer Applications,41 424–440,2014.
- [5] A. E.Çetin, K.Dimitropoulos, B.Gouverneur, N. Grammalidis, O. Günay, Y. H. Habiboǧlu, B. U. Töreyin, S. Verstockt, “Video fire detection – Review”, Digital Signal Processing,23 1827–1843,2013.
- [6] R. Kresimir, B. G. Marijana, M. Vlado, “Development of the Intelligent System for the use of University Information System”,Procedia Engineering, 69 402 – 409, 2014.
- [7] M. Karima, H. Altan, “Interactive building environments: A case study university building in UAE”,Procedia Engineering, 180 1355 – 1362,2017.
- [8] J. Gonzalez-Martínez, M. L. Bote-Lorenzo, E. Gomez-Sanchez, R.Cano-Parra, “Cloud computing and education: A state-of-the-art survey”,Computers & Education, 80 132e151, 2015.
- [9] C. Liu and N.Ahuja, “Vision Based Fire Detection”, Pattern Recognition, 1051-4651,2014.
- [10] B. U. Töreyin, Y. Dedeoğlu , U. Güdükbay , A. E. Çetin, “Computer Vision Based Method for Real-Time Fire and Flame Detection” Pattern Recognition Letters,27 49–58,2006.
- [11] Ç. Döner, G. Şimşek, K.S. Yıldırım, A. Kantarcı, “Kablosuz Algılayıcı Ağları ile Yangın Tespit Sistemi”,Gömülü Sistemler ve Uygulamaları Sempozyumu Gömsis, İstanbul Teknik Üniversitesi, İstanbul,2010.
- [12] M. Ekinci and E. Gedikli, “Silhouette Based Human Motion Detection and Analysis for Real-Time Automated Video Surveillance”, Turkish Journal of Electrical Engineering and Computer Science, 13 (2), 199-229. Retrieved from http://dergipark.gov.tr/ tbtkelektrik/issue/12091/144525, 2005.
- [13] B. Karasulu, “Videolardaki Hareketli Nesnelerin Tespit ve Takibi için Uyarlanabilir Arkaplan Çıkarımı Yaklaşımı Tabanlı Bir Sistem” Uludağ Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, Cilt 18, Sayı 1, 2013.
- [14] B. Laugraud, S. Piérard, M. V. Droogenbroeck, “LaBGen: A Method Based On Motion Detection For Generating The Background Of A Scene” Pattern Recognition Letters, 96 12–21, 2017.
- [15] F. Yuan, G. Liao, W. Fan, and H. ZHOU, “Vision Based Fire Detection Using Mixture Gaussian Model”, Fire Safety Science, DOI: 10.3801/IAFSS.FSS.8-1575, 2005
- [16] M. Dener, Y. Özkök, C. Bostancıoğlu, “Fire Detection Systems in Wireless Sensor Networks”, Procedia - Social and Behavioral Sciences,195 1846 – 1850,2015.