Internet of Things (IoT) is a global infrastructure worldwide which links objects and enables data generation and sharing of this data. IoT is considered as one of the most important areas of future technology and gets attention considerably by researchers and practitioners in recent years. Applications presented by IoT makes possible a large number of developments, but very few can be used currently. With rapid advances in this system technology, successful implementations will continue to emerge to improve the quality of life in many areas. In this study, IoT is examined in general terms and its applications, advantages and disadvantages are reviewed.
Tüm dünyada artan enerji gereksinimiyle, mevcut durumdaki kaynakların önümüzdeki yıllarda tükenmesi öngörüldüğünden enerji sürdürülebilirliğinin sağlanması için yenilenebilir enerji kaynaklarının önemi giderek artmaya başlamıştır. Bu çalışmada, çevresel sürdürülebilirliği sağlamak üzere artan enerji talebinin karşılanması için yapılacak olan enerji kaynak yatırımlarının daha az maliyetle, daha temiz kaynaklar ile planlanmasının önemi doğrultusunda, özel bir enerji şirketi için İç Anadolu Bölgesi'nde yatırım yapmak üzere en uygun olan yenilenebilir enerji kaynağını belirlemek amaçlanmıştır. Yöntem: Yenilenebilir enerji kaynak yatırım planlamasında etkili olan tüm kriterler araştırılarak Çok Kriterli Karar Verme (ÇKKV) yöntemlerinden En İyi En Kötü Yöntemi (Best Worst Method-BWM) ile yenilenebilir enerji kaynaklarının değerlendirmesi yapılmıştır. Bulgular: Uygulamada kullanılan BWM'nin bu tür problemleri çözmek için güvenilir ve hızlı sonuç verdiği doğrulanarak yatırım için güneş enerjisinin en iyi yenilenebilir enerji alternatifi olduğu tespit edilmiştir. Özgünlük: Türkiye'de yenilenebilir enerji kaynakları konusunda çalışan karar vericilere destek olacak bir uygulama olmasının yanı sıra farklı, yeni bir çözüm yöntemi (BWM) kullanılarak çözülmesiyle de literatüre katkı sağlayacağı öngörülmektedir.
Modern aviation has gained an important place in the transportation sector since the Montgolfier brothers designed the air balloon. Aircraft are fast becoming a key instrument in passenger and cargo transportation. The last two decades have seen a growing trend towards the use of aircraft as transportation tools. International aircraft companies report that new aircraft orders are increasing every year. However, there is a lack of routes because of the insufficient number of pilots. Therefore, the increase in usage of aircraft has been limited. To respond to this increase in Turkey, it indicates a rise in the number of flight academies. Flight academies have emerged as powerful and expensive platforms for flight training. In the new global economy, the aircraft selection problem has become a central issue for Flight Training Departments, which is planned to open in government universities. In this study, an approach based on the fuzzy BWM method is proposed to select more suitable training aircraft in government universities. Criterion weights and alternative aircraft rankings were determined using the fuzzy BWM method. Afterward, a mathematical model was developed to calculate how many aircraft we need to buy under certain constraints. Necmettin Erbakan University, which wants to train new and qualified pilots, needs training aircraft, which is the most critical factor, and trainers that can provide pilot training. A case study of training aircraft selection was conducted for the Necmettin Erbakan University Department of Flight Training.
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