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All Journal International Journal of Hydrological and Environmental for Sustainability International Journal of Applied Mathematics, Sciences, and Technology for National Defense
Korhan Cengiz
Mühendislik Fakültesi, Trakya University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Environmental Science Mathematics Physics

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Fast Building Identification Using Fuzzy Soft Set Based on Rapid Visual Building (RVS) Sely Novita Sari; Rizqi Prastowo; Iwan Tri Riyadi Yanto; Korhan Cengiz; Basak Ozyurt; Tuna Topac
International Journal of Hydrological and Environmental for Sustainability Vol 1, No 2 (2022): International Journal of Hydrological and Environmental for Sustainability
Publisher : Foundation of Advanced Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1249.556 KB) | DOI: 10.58524/ijhes.v1i2.87

Abstract

Building damage can be caused by disasters such as earthquakes, landslides, etc. To minimize the fatality, the identification of buildings is needed to know the condition of buildings and whether the construction of buildings is able to endure if the disasters happen. This research uses the Rapid Visual Building (RVS) method to identify the building condition. The data are collected from  Kalirejo, Kulon Progo. The survey is conducted by taking a simple building evaluation form (typical of the walls ) based on RVS data. The field assessment results are distinguished into several factors that affect the condition of typical building walls: the foundations, structures, walls, and roofs of the 11 categories on the assessment form. From the data obtained, it is used to classify the building condition using Fuzzy Soft Set. The results show that the classification has been made with good performance in terms of accuracy, precision and time response. The accuracy and recall are close to 100% with above 50% of prevision average and time response is quite 0.0051 second. Thus, it can be used to  predict the condition of buildings accurately.
Ultrasonic sensor system for detection of the objects position in two-dimensional plane Adhi Kusumadjati; Jofim Yordaniel Napitupulu; Roni Setiawan; Andrew Imada Samosir; Korhan Cengiz
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 1, No 1 (2023): International Journal of Applied Mathematics, Sciences, and Technology for Natio
Publisher : Foundation of Advanced Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def.v1i1.168

Abstract

Ultrasonic sensors are usually used to measure the distance to the object in front of it. It can be used to measure object distances accurately at a detection angle of 15 degrees to the sensor's normal plane and can be carried out up to a maximum distance of 4 m. Three ultrasonic sensors arrange in a triangular configuration can be used to determine the position of objects within the detection area formed by the three sensors. The sensors are positioned and the coverage angle is limited so that detection between sensors in the formation does not overlap or interfere with each other. In addition, using the position data for each unit of time, it is possible to find out the direction of movement of the object. Based on the above concepts, microcontrollers, data acquisition systems, and data processing systems can be used to measure the position and orientation of an object's movement in real time.
Co-Authors Adhi Kusumadjati Andrew Imada Samosir Basak Ozyurt Iwan Tri Riyadi Yanto Jofim Yordaniel Napitupulu Rizqi Prastowo Roni Setiawan sely novita sari Tuna Topac