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Öğe An early warning system for fires in hospitals and health centers via the internet of things to reduce human and material losses(Institute of Electrical and Electronics Engineers Inc., 2023) Abed Al-Isawi, Omar Mohammed; Alkhater, Karam Hatem; Alrubaee, Saif H.; Almarzoogee, Ammar Hatem; Mohammed, Alaa HamidA fire alarm circuit is a basic circuit that, upon detecting fire, triggers an audible alert such as a buzzer or siren. In order to identify fires in a timely way and avoid any harm to persons or property, fire alarm circuits and smoke sensors are an integral aspect of security systems. Businesses, theatres, shopping centres, hospitals, and other public facilities must have fire alarms and smoke detectors installed by law. We designed a very simple fire alarm circuit out of everyday parts like the Arduino uno r3, the Flame sensor, the Wi-Fi module, the DHT11 temperature and humidity sensor, the Pressure sensor gy-68, the LCD screen, and the GSM module, in contrast to the many complex and expensive stand-alone devices available. This project aims to implement an IoT-based fire early warning system in healthcare facilities with the goal of reducing casualties and property damage.Öğe The method of calibration compensation for fiber nonlinearity-A review(Institute of Electrical and Electronics Engineers Inc., 2020) Mohammed, Alaa Hamid; Khaleefah, Raad. M.; Hussein, M.K.; Almarzoogee, Ammar HatemDigital signal processing for compensation for fibre nonlinearity Is a key enabler of ever-greater demand higher data rates for unified optical transmissions. A big challenge to the existing techniques that is the nonlinear coefficient of fiber Must be properly scale-up during compensation In order to attain the achieveable improvement in signal quality. In this paper, we have reviewed several papers in Fiber Nonlinear using several algorithms as well as processing the signal transmitting This problem is adaptively optimized using a low-complexity algorithm A soft-decision, bitwise demodulator based metric used for modern applications Decoders from the FEC. The study demonstrates an optimal scaling factor analysis with predictable accuracy. © 2020 IEEE.