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    The Covid-19 pandemic and Artificial Intelligence (AI) applications in health : how much are we interested in?
    (Dokuz Eylul Univ Inst Health Sciences, 2022) Öztop, Mehmet Burak; Pakdemirli, Ahu; Orbatu, Dilek; Erbaycu, Ahmet Emin; Özdemir, Senem Alkan; Başok, Banu; Bitim, Semih
    Purpose: New viruses have emerged, causing global damage and mass deaths that can spread to international borders, the latest of which is the new coronavirus (COVID-19). After the Second International Congress on Artificial Intelligence in Health, themed Artificial Intelligence in Health During COVID-19 Pandemic Process organized online by Izmir Bakircay University and Izmir Provincial Health Directorate with the contributions of the International Association of Artificial Intelligence in Health, a questionnaire was conducted to evaluate the knowledge of the participants about artificial intelligence applications.Material and Methods: This study aimed to evaluate the interest of the congress participants in this field with the questions which form the questionnaire such as the duration of the interest of the participants in the field of artificial intelligence in health, their publication status, the development of studies on artificial intelligence with the COVID-19 pandemic, demographic structures such as age and gender, and educational level. 130 participants answered the questionnaire consisting of 23 questions. Questionnaire responses were analyzed in a statistical setting.Results: We found that 130 people filled out the questionnaire and the majority of the participants were female, with participation from many organizations, but university staff showed more interest. We have seen that the 30-39 age group is more interested in artificial intelligence than the other age groups, but the majority of the participants do not have academic studies in this field. We found that the technical terms related to artificial intelligence were not well known by the participants, and that the number of participants who tended to this field, especially in the recent year, was high. Another important point was that people working in this field stated that they would definitely follow up if scientific activities continued.Conclusion: We know how important congresses, symposiums, courses and other meetings are, especially for scientist candidates, which will be held to raise awareness about the usage areas of artificial intelligence-based health technologies, to develop new communication and work networks by bringing together different disciplines, to create an agenda and to lay the groundwork for new studies, and we think that there is a need for many repetitive activities in this field and that these activities should be continued.
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    A framework for sustainable and data-driven smart campus
    (Scitepress, 2020) Köstepen, Zeynep Nur; Akkol, Ekin; Doğan, Onur; Bitim, Semih; Hızıroğlu, Abdülkadir
    As small cities, university campuses contain many opportunities for smart city applications to increase service quality and use of public resources efficiency. Enabling technologies for Industry 4.0 play an important role in the goal of building a smart campus. The study contributes to the digital transformation process of.Izmir Bakircay University which is a newly established university in Turkey. The aim of the study is to plan a road map for establishing a smart and sustainable campus. A framework including an architectural structure and the application process, for the development of a smart campus have been revealed in the study. The system application is designed to be 3 stages. The system, which is planned to be built on the existing information systems of the university, includes data collection from sensors and data processing to support the management processes. The proposed framework expects to support some value-added operations such as increasing personnel productivity, increasing the quality of classroom training, reducing energy consumption, accelerating interpersonal communication and finding the fastest solution to the problems on campus. Therefore, not only a smart campus but also a system is designed for sustainability and maximum benefit from the facilities.
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    A V-Model software development application for sustainable and smart campus analytics domain
    (2021) Doğan, Onur; Bitim, Semih; Hızıroğlu, Abdülkadir
    As small cities, university campuses contain many opportunities for smart city applications to increase service quality and efficient use of public resources. Enabling technologies for Industry 4.0 play an important role in the goal of building a smart campus. An earlier work of the authors proposed a framework that was proposed for the development of a smart campus applications. It was the digital transformation process of İzmir Bakırçay University which is a newly established university in Turkey. This study is related to the final part of the developed framework. It aims to systematically develop a software for a sustainable and smart campus. V-model software development methodology was followed in the study. The methodology was applied for the corresponding stage which mainly includes real-time analytics, monitoring, reporting and performance management. The data flow diagrams were presented at three levels, a context diagram for a basic form of the system and parent diagram for the detailed software modules, and a child diagram for a selected module. This study can guide to the following researches to create a smart campus framework and a real-time analytics software.