Internet of Things (IoT) in GIS
Keywords:
Internet of Things, GIS, Smart Cities, Disaster Management, Building Information, Modeling-BIM, Fuzzy Logic, Artificial IntelligenceAbstract
Our world is transforming and rapidly becoming digital. Today, people are on the cusp of an IoT-driven technological revolution, affecting most sectors including energy industry. With billions of connected sensors deployed on assets and networks and in products around the world, companies are collecting and processing data at a higher frequency and velocity with the help of 6G (the sixth generation of wireless technology). GIS and IoT are interrelated and nested technologies. The challenge that continues to plague many organizations is how to make effective decisions with the help of 6G network technology. Organizations are facing many new challenges and looking toward technology to improve situational awareness, create operational efficiencies, and optimize all aspects of work. As IoT and GIS adoption increases and their applications mature, the future is becoming increasingly intelligent and automated. As IoT connects the data, and the GIS adds context around the asset, connecting the information model to other models and to its surroundings. GIS creates digital twins of the natural and built environment, and it can also be used to integrate many different digital representations of the real world.
References
Chan F. T. S., & Kumar, N. (2007). Global Supplier Development Considering Risk Factors Using Fuzzy Extended AHP-based Approach. Omega International Journal of Management Science, 35, 417-431.
İncekara, Ç. Ö., & Oğulata, S. N. (2011). Enerji darboğazında ülkemizin alternatif enerji kaynakları. Sosyal ve Beşeri Bilimler Dergisi, 3(1).
İncekara, C. O. & Oğulata, S. N. (2012). EU and Turkey’s Energy Strategies. International Journal of Economics and Finance Studies, 4(2), 35-43.
İncekara, Ç. Ö., & Oğulata, S. N. (2017). Turkey’s energy planning considering global environmental concerns. Ecological Engineering. Elsevier, A.B.D., 589-595.
Incekara, C. O. (2018). Ülkemizdeki Enerji Santral Yatırımlarının AHP Yöntemi ile Değerlendirilmesi. Çukurova Üniversitesi Mühendislik Fakültesi Dergisi, 33 (4), 185-196.
Incekara, C. O. (2019). Use of an Optimization Model for Optimization of Turkey’s Energy Management by inclusion of Renewable Energy Sources. International Journal of Environmental Science and Technology, Springer, 121-133.
İncekara, Ç. Ö. (2019). Türkiye ve AB’nin Enerji Stratejileri ve Politikaları. Journal of Turkish Operations Management, 3(2), 298-313.
Incekara, C. O. (2019). Turkey's Energy Management Plan by Using Fuzzy Modeling Approach. Scholars' Press, ISBN-10: 6138829697, Book, 38-52.
Incekara, C. O. (2020). Türkiye’ nin Elektrik Üretiminde Doğalgaz Talep Tahminleri. Journal of Turkish Operations Management, 3(2), 298-313.
İncekara, Ç. Ö. (2020). Evaluation of Turkey’s International Energy Projects by Using Fuzzy Multi-Criteria Decision Making Methods. Euroasia Journal of Mathematics, Engineering, Natural & Medical Sciences, 7(9), 206-217. https://doi.org/10.38065/euroasiaorg.143
İncekara, Ç. Ö. (2020). Turkey's natural gas demand projections. EJONS Internatıonal Journal, 4(15), 489-505. https://doi.org/10.38063/ejons.269
Incekara, C. O. (2020). Bulanık Mantık ile Sanayii Sektöründe ISO 50001 Enerji Yönetim Sistemi Uygulaması. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, 20(6), 991-1013.
İncekara, Ç. Ö. (2020). Enerji Sektöründe Faaliyet Gösteren Bir İşletmede İş Sağlığı ve Güvenliği Yönetim Sistemi. Mehmet Akif Ersoy Üniversitesi Uygulamalı Bilimler Dergisi, 4(1), 152-177.
İncekara, Ç. Ö. (2021). Bulanık TOPSIS ve Bulanık VIKOR yöntemleriyle bir enerji şirketinde kurumsal hafızanın oluşturulması. Euroasia Journal of Mathematics, Engineering, Natural & Medical Sciences, Cilt 8, Sayı 17, (2021), 1-20. https://doi.org/10.38065/euroasiaorg.589
Incekara, C. O. (2021). Post-COVID-19 Ergonomic School Furniture Design under Fuzzy Logic. Work, 69, 1197–1208.
İncekara, Ç. Ö. (2021). Dünyanın ve Türkiye’ nin Doğal Gaz Talep Senaryosu. Euroasia Journal of Mathematics, Engineering, Natural & Medical Sciences, 8(17), 44-57. https://doi.org/10.38065/euroasiaorg.610
İncekara, Ç. Ö. (2021). Global Natural Gas Demand Projections under Fuzzy Logic. EJONS Internatıonal Journal, Vol. 5, No. 18 (2021): EJONS Journal, 367-385. (https://doi.org/10.38063/ejons.430)
Incekara, C. O. (2022). Designing Ergonomic Post-Covid-19 School Furniture. South African Journal of Industrial Engineering, 33(2), 211–224.
İncekara, Ç. Ö. (2022). Sigorta Eksperlerinin Dask Sigortası Değerlendirmelerinin Bulanık Mantık Altında İncelenmesi. Euroasia Journal of Mathematics, Engineering, Natural & Medical Sciences, 9(21), 14-41. https://doi.org/10.38065/euroasiaorg.952
Incekara, Ç. Ö. & Lala, S. (2022). Enerji projelerinde arazi edinim faaliyetleri ve arazi değerlemesi. Geomatik, 8(1), 61-71.
Kumar Sahu, A., Datta S., & Mahapatra S. S. (2016). Evaluation and selection of resilient suppliers in fuzzy environment. Benchmarking: An International Journal, 23(3), 651-673.
Satrovic, E. (2018). The Human Development Relies on Renewable Energy: Evidence from Turkey. 3rd International Energy & Engineering Congress, 19-27.
Shukla, A. K (2014). Interpretability Assessment in Fuzzy Rule Based Systems. International Journal of Scientific & engineering Research, Volume 5, Issue 7, 506-509.
Wang, C. (2015). A Study of Membership Functions on Mamdani-Type Fuzzy Inference System For Industrial Decision-Making. PhD Theses and Dissertations. Lehigh University, (Paper:1665).
İncekara, Ç. Ö. (2022). Industrial internet of things (IIoT) in energy sector. Advanced Engineering Days (AED), 5, 181-184.
