Sürdürülebilir Kalkınma Amaçları

• 1

• MakaleAçık Erişim2023/r/munzur/4670
  Deep Learning Based Video Event Classification

  Gencaslan, Serim; Utku, Anil; Akcayol, M. Ali

  In recent years, due to the growth of digital libraries and video databases, automatic detection of activities from videos and obtaining patterns from large datasets have come to the fore. Object detection from images is used as a tool for various applications and is the basis of video classification. Objects in videos are more difficult to identify than in single images, as the information in videos has a time-continuity constraint. Following the developments in the field of computer vision, the use of open source software packages for machine learning and deep learning and the developments in hardware technologies have enabled the development of new approaches. In this study, a deep learning-based classification model has been developed for the classification of sports branches in video. In the model developed using CNN, transfer learning has been applied with VGG-19. Experimental studies on 32827 frames using CNN and VGG-19 models showed that VGG-19 has a more successful classification performance than CNN with an accuracy rate of 83%.

  AtıfWoS1·OpenAlex3·TR Dizin1

  İncele
• MakaleAçık Erişim2023/r/munzur/6388
  Nadir Toprak Elementlerinin Karbon Elyaf Tozu Takviyeli Poliolefinlerin Akışkanlığına Etkileri

  Kismet, Yilmaz; Güray, Serhat

  Bu çalışmada, poliolefinler grubuna ait ticari birer termoplastik olan alçak yoğunluklu polietilen (AYPE), yüksek yoğunluklu polietilen (YYPE) ve polipropilenin (PP) akışkanlığı üzerine karbon elyaf tozunun ve nadir toprak elementlerinin etkileri incelenmiştir. Öncelikle mekanik olarak karıştırılan ağırlıkça %5, %10 ve %15 oranlarında karbon elyaf tozu içeren termoplastiklere ait karışımların eriyik akış analizleri yapıldı. Daha sonra AYPE, karbon elyaf tozu ve %90’nın üzerinde zenginleştirilmiş lantan ve seryum ile çözeltiler hazırlandı ve bunların akışkanlıkları incelendi. Bu çözeltiler hazırlanırken AYPE sentetik tinerde, lantan ve seryum ise su da çözündü ve sonra karbon elyaf tozu takviye edildi. Hazırlanan bu çözeltiler saf termoplastikler (AYPE, YYPE, PP) ile ayrı ayrı ağırlıkça %10, %20, %30, %40 ve %50 oranlarda karıştırılarak akışkanlık ve yoğunluk analizleri gerçekleştirildi. Bu şekilde hem karbon elyaf tozu hem de lantan ve seryum emdirilmiş karbon elyaf tozlarının termoplastiklerin akışkanlık ve yoğunluğu üzerine olan etkileri belirlenerek elde edilen sonuçlar grafiklerle açıklandı.

  AtıfOpenAlex1

  İncele
• MakaleAçık Erişim2021/r/munzur/3956
  Synthesis and Characterization of Silver Nanoparticles and Coating with Chitosan

  Ates, Mehmet; Yilmaz, Ersen; Kar, Bulent; Durukan, Ilknur Kars

  Recent advancements in nanotechnology have garnered increasing attention due to the improvements in producing and utilizing particles whose sizes are extremely small. There is particular interest in metal nanoparticles due to their distinctive properties. Silver nanoparticles (Ag-NPs) have been of particular interest owing to their unique electrical, optical and physicochemical properties as well as their biomedical applications. Ag-NPs are the fastest growing class of nanoscale materials because of their antibacterial activities. They are now considered to be the next generation antimicrobials. Today, owing to their disinfectant properties, Ag-NPs are extensively used in numerous consumer products, including disinfecting medical devices and home appliances, paints, optical devices, plastics, textiles, soaps and laundry detergents, cosmetics, health-care products, as well as in food packing and food products as preservative and anti-caking agents. Despite their widespread usage, the products containing Ag-NP additives are a serious environmental and human health concern because of their toxicity. Studies on cell and bacterial cultures have shown that Ag-NPs are toxic; and the toxic effects are mainly due to the dissolved Ag ions when Ag-NPs degrade in water. In this study, considering the criteria outlined above, the purpose of the study and Ag-NPs were chemically synthesized in the laboratory environment and modified as chitosan coating. UV-Vis spectroscopy, transmission electron microscopy, scanning electron microscopy, X-ray crystallography and zeta potential analysis were used to characterize the silver nanoparticles.

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  AtıfWoS3·OpenAlex4·TR Dizin3

  İncele
• MakaleYalnız künye2021/r/munzur/4906
  On Metric Contact Pairs with Certain Semi-Symmetry Conditions

  Ünal, Inan

  Blair et al. [7] introduced the notion of bicontact manifold in the context of Hermitian geometry. Bande and Hadjar [1] studied on this notion under the name of contact pairs. These type of structures have important properties and their geometry is some different from classical contact structures. In this paper, we study on some semi-symmetry properties of the normal contact pair manifolds. We prove that a Ricci semi-symmetric (or concircularly Ricci semi-symmetric) normal metric contact pair manifold is a generalized quasi-Einstein manifold. Also, we classify normal metric contact pair manifolds as a generalized quasi-Einstein manifold with certain semi-symmetry conditions L (X, Z).R = 0, R(X, Z).L = 0 and L (X, Z).L = 0 for the concircular curvature tensor L, the Riemannian curvature tensor R, and an arbitrary vector field X.

  İncele
• MakaleYalnız künye2020/r/munzur/4404
  Ecotoxicity Study of Iron Oxide Nanoparticles on Chlorella Sp. and Daphnia Magna

  Ertit Tastan, Burcu; Kars Durukan, Ilknur; Ates, Mehmet

  Nanoparticles have great impact due to their tremendous industrial applications. However, their applications have produced toxicity effects on the aquatic environments and their detailed analyses are not clearly understood. Iron oxide nanoparticles (Fe2O3 NPs) are being used extensively in many industries but are considered highly toxic to aquatic species residing in surface waters. This paper demonstrates the acute toxicity of alpha-Fe2O3 and gamma-Fe2O3 NPs in two aquatic species. The effects of various concentration (0, 50, 100, 250, 500 and 1000 mg/L) of alpha-Fe2O3 and.-Fe2O3 on the sensitivity response of the Chlorella sp. and D. magna were investigated. The growth of microalgal decreased with increased concentration of the alpha-Fe2O3 and gamma-Fe2O3 NPs concentrations but did not show a significant toxic effect. The EC50 concentration value was 500 mg/L and LD50 concentration value was 1000 mg/L for alpha-Fe2O3 treated daphnids in 72 h, respectively. The findings demonstrate the significant evidence in understanding acute toxicity of Fe2O3 NPs for environmental protection as part of risk assessment strategies.

  AtıfWoS6

  İncele
• MakaleAçık Erişim2020/r/munzur/4204
  A Novel Probabilistic Nuclei Segmentation Algorithm for H&E Stained Histopathological Tissue Images

  Serin, Faruk; Erturkler, Metin; Gul, Mehmet

  In this study, we propose a novel, fast and accurate segmentation algorithm to segment nuclei in H&E stained histopathological tissue images. The proposed algorithm does not require pre-processing, post-processing, and any manual parameter or threshold. The algorithm utilizes probabilistic and statistical properties of the pixels' color value in the images with RGB color space, and determines whether pixels are a part of any nuclei or not by using an automatically calculated threshold value. The algorithm provides time efficiency and reduced overall cost in the segmentation. Two more algorithms are also proposed to distinguish nuclei cluster from the other clusters obtained by K-means, and eliminate false positives in nuclei cluster, which are not nuclei. In order to compare and evaluate the performance of the proposed segmentation algorithm in terms of time and cost efficiency, K -Means is preferred because of its common usage. Expert evaluation is declared as ground truth for determining the accuracy of the results. The experiments are performed on 60 healthy and 60 damaged kidney, and 60 healthy and 60 damaged liver tissue images. The evaluations show that the proposed algorithm can effectively segment nuclei. The comparison results also demonstrate that the deviation between proposed algorithm and the expert is 2%, while the deviation between K -Means and expert is 5%.

  AtıfOpenAlex2

  İncele
• MakaleAçık Erişim2017/r/munzur/4919
  Co-Author Link Prediction from Academic Databases

  Burhan, Yucel; Das, Resul

  Social networks: social communication platforms where individuals exhibit their attitudes and behaviors, gestures and mimics in symbolic actions in a virtual environment. Their swift development and wide usage proportion rises social networks' necessity and popularity. People communicate with each other and share some data like idea, thinking, photo, video and location. When this data is processed, very important information is obtained about the users. In this light, it is possible to make important estimates about the users. To analyze a network, the network model, properties of graph structure, criteria and metrics must be calculated first. In this study, similarity calculation between the subjects which authors studied has been done. In this application, five suitable models (Jaccard Index, Sorensen Index, Common Neighbor, L. H. Newman Index and Salton Index methods) are applied to the data set generated by randomly selected twenty writers. In order to evaluate the calculation results; the results of the similarity calculation between authors with known linkages are used as reference values. Comparisons of obtained similarity values with reference values result in new connections. These links reveal that authors can publish articles together.

  AtıfWoS1·OpenAlex5

  İncele
• MakaleYalnız künye2015/r/munzur/4800
  Effect of Dried Colza Plant as a Filler on Mechanical Properties, Density and Water Absorption of Low Density Polyethylene

  Kismet, Yilmaz

  In this study, mixtures have been obtained by putting dried colza plant as a filling material into low density polyethylene in ratios of 10 %, 20%, 30% in weight, and standard tensile experiment samples are produced from the mixtures by using plastic injection machine. The changes in the mechanical properties, densities and water absorption capacities of the samples have been analyzed and compared. To ensure homogeneity, the mixtures are first prepared in mechanical mixers, and then passed through extrusion machines. The material is granularized at the outlet of the extrusion machine by using crushers. Finally, with the plastic injection machine, this granule material is molded on the standard tensile experiment samples.

  AtıfWoS1

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