Journals / Fırat Üniversitesi Mühendislik Bilimleri Dergisi / 2022 / Cilt: 34 Sayı: 2

Veri Füzyonu Veri Kaynakları, Mimariler, Zorluklar ve Çözüm Yaklaşımları

Berna Çengiz(FIRAT ÜNİVERSİTESİ)0000-0002-1564-0604
Resul Daş(FIRAT ÜNİVERSİTESİ)0000-0002-6113-4649
Pages
899–922
Publication Date
2022-09-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Bu makale çalışmasında, güncel literatür çalışmaları detaylıca incelenmiş, akıllı şehirlerde uygulanan IoT çözümlerindeki veri tipleri, füzyon seviyeleri, kullanılan yöntem ve elde edilen sonuçlar tablo halinde sunulmuştur.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Nesnelerin İnterneti, yeni teknoloji ve cihazları kullanarak insan müdahelesi olmadan nesnelerin iletişimini ve karar verme yetilerini sağlayan insanların problemlemlerine çözüm sağlayan sistemlerdir.
📊
Key Findings & Data:Nesnelerin İnterneti çözümleri insanların konfor, güvenilirlik, hareketlilik, sağlık ve refah seviyesinin yükseltilmesinde etkin rol almaktadır.
💡
Conclusion & Impact:Bu makale çalışmasında, güncel literatür çalışmaları detaylıca incelenmiş, akıllı şehirlerde uygulanan IoT çözümlerindeki veri tipleri, füzyon seviyeleri, kullanılan yöntem ve elde edilen sonuçlar tablo halinde sunulmuştur.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Nesnelerin İnterneti · Büyük Veri · Akıllı Şehirler

Özet

Nesnelerin İnterneti, yeni teknoloji ve cihazları kullanarak insan müdahelesi olmadan nesnelerin iletişimini ve karar verme yetilerini sağlayan insanların problemlemlerine çözüm sağlayan sistemlerdir. Nesnelerin İnterneti çözümleri insanların konfor, güvenilirlik, hareketlilik, sağlık ve refah seviyesinin yükseltilmesinde etkin rol almaktadır. Karmaşık ve zorlu uygula- malar içeren IoT çözümlerinden elde edilen büyük veriler, birbirinden farklı ve çok kaynaklı heterojen veri kümelerini içere- bilir. Sensör teknolojilerini kullanan teknolojik çözümlerinde veri ve sensör füzyonu işlemleri büyük önem taşımaktadır. Veri boyutunun azaltılması, veri trafik yoğunluğunu optimize edilmesi ve ham verilerden yararlı bilgileri çıkarılması gibi işlem- lerin gerçekleştirebilmesi kritik ve çok önemlidir. Bu bağlamda, veri birleştirme sürecinde, sorunlu verilerin düzeltilmesi, veri güvenilirliğinin arttırılması ve veri bütünlüğünün korunması hedeflenmektedir. Akıllı sistemler kullanılarak gerçekleştirilen IoT çözümlerinde en çok yaşanan veri füzyonu zorluklarının tespit edilmesi ve olası çözüm yaklaşımlarının sunulması çalış- mamızın özgün yönünü ön plana çıkartmaktadır. Bu makale çalışmasında, güncel literatür çalışmaları detaylıca incelenmiş, akıllı şehirlerde uygulanan IoT çözümlerindeki veri tipleri, füzyon seviyeleri, kullanılan yöntem ve elde edilen sonuçlar tablo halinde sunulmuştur.

🔖

Cite This Article

Çengiz, B., Daş, R. (2022). Veri Füzyonu Veri Kaynakları, Mimariler, Zorluklar ve Çözüm Yaklaşımları. Fırat Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 34 Sayı: 2, 899–922. https://ajindex.com/articles/1267935

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