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KORKMAZ, HAYRİYE

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Start date: 2021 × Has files: false ×

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    Development of a remote laboratory for an electronic circuit design and analysis course with increased accessibility by using speech recognition technology
    (WILEY, 2021) SARIKAŞ, ALİ; Yayla, Ayse; Korkmaz, Hayriye; Buldu, Ali; Sarikas, Ali
    When the curricula of engineering undergraduate programs are examined, it can be seen that experimentation plays a very important role and the learning outcomes of the courses are mostly dependent on practical abilities. However, there may be a few who cannot use their hands permanently or temporarily among the students who are attending these courses. Therefore, the participation of disabled students in this part of the course has always been a problem. In this paper, a remote laboratory application that aims to increase the accessibility of electronic circuit design and analysis courses by using speech recognition technology is introduced. This laboratory is designed for hands-free operation and enables students to analyze the electronic circuits by speaking. Google Web Speech API was used for speech recognition and the user interface was designed using Adobe Flash Professional. The parameters are sent to the ASP.NET page by using ActionScript 2.0 programming language. The application developed by using C# programming language enables programming the experimental hardware that includes a signal generator, a Raspberry Pi 2 with a camera, an oscilloscope, and a new test card. In the Raspberry Pi 2, Python programming language was used to select the desired experiment from those present on the board and to control digitally programmable circuit components such as digital potentiometers or parameters such as the DC reference voltage level. When the student successfully completes the predefined experimental procedures, an automatically generated e-mail is sent to the instructor including the student's username, log-in time, the oscilloscope screenshots, and ideal experimental results.
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    Efficient Deployment of Wireless Sensor Nodes with Evolutionary Approaches
    (2022-01-01) KORKMAZ, HAYRİYE; Birtane Akar S., KORKMAZ H., Sahingoz O. K.
    © 2022 IEEE.In previous WSN studies, it was observed that there are two common methods used in coverage area calculation: 1) image processing technique or 2) mathematical formulas. calculation of the coverage area, if the sensing ranges of the mobile nodes intersect (overlap) each other, the processing time increases while the calculation result is wrong. In this study, a new method is proposed to calculate the coverage area with relatively high accuracy, including the overlap conditions, but in a shorter time. In this method, the points that were placed as targets to be tracked in the Region of Interest (ROI) in the previous studies are now used in a different way. All covered points by any node are counted to calculate the area. However, in this case, the number of points placed in the area should be much higher than in the previous cases. Coverage performance is calculated by counting the points covered by the WSN nodes and dividing them by the total number of points defined initially. (Coverage rate) First of all, to decide the experiment\"s initial conditions, 57 different cases were simulated. Different number of sensor nodes with different radii (25, 50, 100, 200) was considered and then the average of the error rate of all cases was calculated. The lowest error value was obtained in the case of the 2000×2000 area. Therefore, an area of 2000×2000 was preferred in the next steps. It can be concluded that, this method is a promising method to calculate the coverage rate in WSNs.