Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.

Browsing by Author "Al-Dakheel, S."

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 0
    Unmanned Surface Vehicle Prototype with Obstacle Avoidance System Area: Applications and Evaluation of Real-Time Big Data Systems
    (Association for Computing Machinery, 2019) Al-Tekreeti, M.; Özyer, S.T.; Özdemir, C.; Karadag, A.; Al-Dakheel, S.; 18980
    In this paper, Unmanned Surface Vehicles (USV) prototype and system design have been presented for the rescue of human life at sea. The USV will be protected from obstacles that may cause a crash to the USV by avoiding the obstacles using many kinds of detection sensors. All of these sensors send results to Crash Avoidance System (CAS) and to the main computer to control the USV direction depends on the obstacle shape, size or if it is a moving obstacle or not. The sensors that will be used for this purpose are Light Detection and Ranging (LIDAR) sensor, LIDAR-Lite sensors and ultrasonic sensors. All the information that will be collected from all these types of sensors will be used to direct the USV to the safe path. 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 ACM.
  • Thumbnail Image
    Conference Object
    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.