Oğuzhan Alasulu

    The SAPA Project highlights the importance of maintaining heart and respiratory health for overall well-being, advocating for electronic stethoscopes due to their superior sound quality and precise diagnosis. MATLAB GUI design facilitates signal acquisition and real-time monitoring, while Fusion 360 and Altium Designer aid in 3D visualization and PCB integration for enhanced device functionality and maintenance... The project link is stated below: Google Drive:   https://lnkd.in/dtR9fy5G Github:   https://github.com/alasulu/SAPA-ECG-Respitory-MATLAB-App

    In this project, we focused on transmitting audio signals using Amplitude Shift Keying (ASK) modulation and digital signal processing (DSP) techniques, facilitated by NI LabVIEW software and the NI2900 device. ASK modulation encoded information by varying audio wave amplitude, while DSP optimized signal quality and minimized distortions during transmission. RF coaxial cables with male SMAs replaced traditional antennas. The project aimed to develop a robust audio transmission system, demonstrating the effectiveness of DSP and telecommunication techniques in audio processing and the control capabilities of LabVIEW, offering valuable insights for engineers and researchers in communication systems. Github Link:  https://github.com/alasulu/LABVIEW-Equalizer-ASK-Modulation-Project/tree/main LinkedIn Link:  https://www.linkedin.com/in/oguzhan-alasulu/

    We designed and implemented an uneven seven-sided dice roller using advanced digital system design techniques. The project system features a 1-bit data generator, a 2-bit full-adder, and two registers for data storage. The circuit produces 3-bit numbers (1 to 7) at a frequency of 100 Hz. We carefully crafted the data generator circuit with discrete components, meeting strict frequency requirements. Moreover, our custom CMOS-based full-adder efficiently processes the input to generate output. With a dedicated circuit for data distribution and synchronization, our system seamlessly interfaces with a microcontroller for data retrieval and analysis. I am thrilled to exhibit to my connections how theory meets practice with our simulation results and physical implementation. Stay tuned for more updates on our innovative electronics journey! hashtag hashtag # Arduino hashtag # MATLAB hashtag # Electronic LinkedIn:  https://lnkd.in/ddPpTXrT

     Brain tumors present a significant challenge due to their complex structure and the need for accurate, timely detection. Our algorithm improves identification, enhancing treatment outcomes and reducing mortality rates. Using a dataset of 3064 CT images from 233 patients (including gliomas, meningiomas, and pituitary tumors), we applied preprocessing techniques like histogram equalization and skull removal, followed by segmentation with morphological operations.     We extracted 35 features (e.g., auto-correlation, entropy) and used WEKA for feature selection and classification, achieving ~93% accuracy with classifiers like BayesNet, Bagging, and Logistic Regression. This project highlights the potential of advanced image processing and machine learning to create reliable, automated diagnostic tools, supporting doctors in making informed decisions and improving patient care. You can check the project on my LinkedIn profile or you can check it with the G...