GCRIS

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Citation - Scopus: 2
Re-Exploring the Kayseri Culture Route by Using Deep Learning for Cultural Heritage Image Classification Cultural Heritage Image Classification by Using Deep Learning: Kayseri Culture Route
(Association for Computing Machinery, 2024-05-25) Kevseroğlu, Ozlem; Kurban, Rifat
The categorization of images captured during the documentation of architectural structures is a crucial aspect of preserving cultural heritage in digital form. Dealing with a large volume of images makes this categorization process laborious and time-consuming, often leading to errors. Introducing automatic techniques to aid in sorting would streamline this process, enhancing the efficiency of digital documentation. Proper classification of these images facilitates improved organization and more effective searches using specific terms, thereby aiding in the analysis and interpretation of the heritage asset. This study primarily focuses on applying deep learning techniques, specifically SqueezeNet convolutional neural networks (CNNs), for classifying images of architectural heritage. The effectiveness of training these networks from scratch versus fine-tuning pre-existing models is examined. In this study, we concentrate on identifying significant elements within images of buildings with architectural heritage significance of Kayseri Culture Route. Since no suitable datasets for network training were found, a new dataset was created. Transfer learning enables the use of pre-trained convolutional neural networks to specific image classification tasks. In the experiments, 99.8% of classification accuracy have been achieved by using SqueezeNet, suggesting that the implementation of the technique can substantially enhance the digital documentation of architectural heritage. © 2024 Elsevier B.V., All rights reserved.
Citation - Scopus: 12
Realizing the Wireless Technology in Internet of Things (IoT)
(Springer Singapore, 2018) Κogias, DImitrios G.; Michailidis, Emmanouel T.; Tuna, Gürkan; Güngör, Vehbi Çağrı; Kogias, Dimitrios G.
The evolution of the Internet of Things (IoT) has been highly based on the advances on wireless communications and sensing capabilities of smart devices, along with a, still increasing, number of applications that are being developed which manage to cover various small and more important aspects of every people's life. This chapter aims at presenting the wireless technologies and protocols that are used for the IoT communications, along with the main architectures and middleware that have been proposed to serve and enhance the IoT capabilities and increase its efficiency. Finally, since the generated data that are spread in an IoT ecosystem might include sensitive information (e.g., personal medical data by sensors), we will also discuss the security and privacy hazards that are introduced from the advances in the development and application of an IoT environment. © 2019 Elsevier B.V., All rights reserved.
Citation - Scopus: 2
Adaptive Reuse of Industrial Heritage: Resilience or Irreparable Loss
(Docomomo, 2016) Baturayoğlu Yöney, Nilüfer; Asiliskender, Burak; Özer, Aysegul; Yoney, Nilufer
The restoration and adaptive reuse of industrial heritage buildings and complexes, which present structurally and functionally resilient shells, provide us with an interesting dilemma in theory and practice: made of hard wearing materials to house straining functions and to last as long as possible, they are also flexible enough to adapt to almost any new purpose as a container. However, the presence of original machinery and equipment as well as designs based on machine-buildings may reduce the possibilities of adaptive reuse to a museum, where the buildings exhibit themselves, retaining the social, economic, historic and public aspects of cultural heritage as documents. Although originally built on the outskirts of urban settlements, today most industrial heritage complexes occupy central locations in the metropolitan sprawl of major cities. If disused, they are considered obsolete brownfields by local authorities and citizens despite personal and collective memories that may be attached to them. Their conversion into new uses presents major technical difficulties that require expertise in design and implementation. This paper discusses the theoretical and practical aspects of the adaptive reuse of industrial heritage and inherent problems, focusing on the case of the Sümerbank Kayseri Textile Factory (I. Nikolaev, Turkstroj, 1932-1935), which is being transformed into the campus of Abdullah GUI University. The restoration, renovation and adaptive reuse projects for different components of the complex follow similar principles of preservation and sustainability while they are modified to fit the architectural and technological characteristics of each building. Thus, although conversive and easily adaptable, the preservation of industrial architectural heritage becomes a dilemma between disruption and continuity, which the architects have to solve going beyond the possibilities of mere building stock on the one hand and that of the museum on the other. © 2017 Elsevier B.V., All rights reserved.

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