Sürdürülebilir Kalkınma Amaçları
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- MakaleAçık Erişim2023Deep Learning-Based Automatic Helmet Detection System in Construction Site Cameras
Korkmaz, Adem; Ağdaş, Mehmet Tevfik
Ensuring worker safety in high-risk environments such as construction sites is of paramount importance. Personal protective equipment, particularly helmets, plays a critical role in preventing severe head injuries. This study aims to develop an automated helmet detection system using the state-of-the-art YOLOv8 deep learning model to enhance safety monitoring in real-time. The dataset used for the study consists of 16,867 images, with various data augmentation and preprocessing techniques applied to improve the model's robustness. The YOLOv8 model achieved a 96.9% mAP50 score, outperforming other deep learning models in similar studies. The results demonstrate the effectiveness of the YOLOv8 model for accurate and efficient helmet detection in construction sites, paving the way for improved safety monitoring and enforcement in the construction industry.
AtıfOpenAlex15TR Dizin3
İncele - MakaleAçık Erişim2022Viscometric Investigation of Compatibilizer Effect on Polyvinyl chloride/Polystyrene Blends
Yilmaz, Ersen; Boztuğ, Ali
In this study, polyvinyl chloride (PVC) and polystyrene (PS) polymers, which do not form a compatible blend with each other in certain concentration ranges and are widely used on an industrial scale, were used. The concentration range in which these two polymers do not form a compatible blend were determined viscometrically, and maleic anhydride-styrene (MAS) copolymer was added as a compatibilizing agent in this concentration range. The concentration range in which the polymer pair did not form a compatible blend was determined as 1.5 and 2.0 g dL-1. In this concentration range, 5.0 and 10.0 % MAS copolymer was added to the polymer couple and its compatibilizing effect was investigated. It was determined by viscometric method that the MAS copolymer was a good compatibilizer in the range where the polymer pair did not form a compatible blend.
AtıfOpenAlex1İncele - MakaleAçık Erişim2022Tane şeklinin galen cevherinin flotasyonuna ve topaklanmasına etkisi
Guven, Onur; Uysal, Turan
Farklı şekil faktörlerine sahip tanelerle yürütülen flotasyon çalışmalarında daha köşeli tanelerin yuvarlak tanelere nazaran daha yüksek verimle kazanıldığı bilinmektedir. Bu durum flotasyon işlemlerinde şekil faktörlerinin rolünü göstermekte olup, uygulamalarda uygun tane morfolojisi ile önemli kazanımlar sağlanılabilmektedir. Bu çalışmada ise galen flotasyonu üzerine tane şeklinin etkisi çalışılmıştır. Bu amaçla galen -74+38 µm boyutunda şekil faktörü analizi yapılmıştır. Farklı şekil faktörüne sahip numuneler farklı KAX konsantrasyonlarında mikro-flotasyon ve agregasyon işlemleri yapılmıştır. Mikro-flotasyon sonuçlarına göre KAX konsantrasyonu arttıkça şekil faktörünün etkisinin arttığı ancak yüksek konsantrasyonlarda bu etkinin tam olarak gözlenmediği saptanmıştır.
- Derleme MakaleAçık Erişim2021Rare Earth Element Doped ZnO Thin Films and Applications
Ayhan, Nagihan Karaaslan; İpek, Yeliz
In this review, general information has been given about the recent studies on thin film coating techniques, zinc oxide (ZnO) thin films and zinc oxide films doped with rare earth elements (REE). As a thin film coating method, the sol‒gel method is widely used due to its economical nature. However, it has been seen that the magnteron sputter technique is also very popular due to its ease of application. Zinc oxide is a semiconductor with a wide band gap and is easy to produce and to supply. In addition, it does not have negative effects on the environment and human health. All these properties have led to intensive studies on zinc oxide. Due to its optical and electrical properties, it has found many different uses such as solar cells, light emitting diodes, gas sensors and flat panel displays. Recently, various studies have been carried out to improve the properties of zinc oxide and to create new areas of use by doping with rare earth elements.
AtıfOpenAlex6İncele