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Browsing by Author "Ozyer, S.T."

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    Citation - Scopus: 33
    A Collaborative and Content Based Event Recommendation System Integrated With Data Collection Scrapers and Services At A Social Networking Site
    (IEEE Computer Society, 2009) Kayaalp, M.; Ozyer, T.; Ozyer, S.T.; 18980
    There are many activities that people prefer/opt out attending and these events are announced for attracting people. An intelligent recommendation system can be used in a social networking site in order to recommend people according to content and collaboration assessment. This study is an effort to recommend events to users within a social networking site. It can be any networking environment. We have used social environment that has been designed as a facebook1 application. Our application has also been integrated with several web sites. System collects event data from several related web sites either by using web services or web scraping. It also permits users rating events they have attended or planned. Given the social network between people, system tries to recommend upcoming events to users. For this purpose a combination of content based and collaborative filtering has been used. We have also taken geographical location info and social concept of an event. © 2009 IEEE.
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    Citation - Scopus: 1
    Unmanned Surface Vehicle with Drown Map System
    (Institute of Electrical and Electronics Engineers Inc., 2019) Al-Dakheel, S.; Ozyer, S.T.; Can Ozdemir, F.; Karadag, A.; Al-Tekreeti, M.; 18980
    The drowning cases that are happened whether in sea or ocean specially increasing cases among refugees requires to employ the advanced technology and tools to encounter this problem. Internet of Things (IoT) and cloud computing techniques will be applied in marine sector to address the problems of drowning. Internet of things that represented in sensors, actuators...etc. generate a vast number of data that globally known as a Big data, due to the limited storage and processing of the physical units with the big number of data, a cloud computing is adopted to solve this problem. In this paper, an Unmanned Surface Vehicle (USV) contains GPS and Force Sensitive Resistor (FSR) sensors will be built to discover the location and approximate number of people exposed to drowning. In addition to USV, a real-time map system will be carried out to display this information. All the data and information that generating from the sensors and map system will be stored in a cloud in real-time. This work is a part of the research and development project which is accepted in Turkey Government with the collaboration of the University and Industry. © 2019 IEEE.