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Publication Metadata only A New Signal Processing Toolbox and Real-Time EMG and ECG Analysis(1.01.2018) Ozkan, Haydar; Ural, Ebrar Selva; Kalender, Aleyna; Tuncer, Fatma ElifBiomedical signals acquisition, processing and visualizing with accurate and high quality play a very important role in the diagnosis of many diseases. For this purpose, in this study, a one-dimensional signal processing toolbox has been designed using the MATLAB Graphical User Interface (GUI). Real-time medical signals can be obtained and analyzed in time and frequency domains. This toolbox can be used to analyze a signal that is pre-recorded or one dimensional that is created by a user. Due to the toolbox developed, the data which are acquired from EMG and ECG cards and digitized in the Arduino microprocessor are displayed in real time on the computer screen. Also, the high-frequency noises in the ECG signal have been eliminated by designing a Parks-McClellan low pass FIR filter. Heart rate has been calculated with high accuracy by counting R peak points per minute from the noise reduced ECG signal automatically. By using the developed signal processing toolbox, any kind of general or medical signals can be analyzed in more detail and fast.Publication Metadata only A Novel Actual Time Cyber Security Approach to Smart Grids(1.01.2018) Buyuk, Oguzhan Oktay; Camurcu, Ali YilmazThe purpose of this paper was to develop a novel actual time cyber security approach to smart grids. The developed way securely backed the smart meters among smart grids against external attacks in a distribution substation. Security is provided using Message Passing Interface (MPI). Newly configured Floyd-Warshall Algorithm was applied to MPI so as to represent a distribution of key pairs which was generated by Homomorphic Encryption. Simulation case studies were conducted on Raspberry Pi 2 Model B in order to illustrate how the mentioned approach can be built to execute the cyber security essentials via parallel programming techniques and Valgrind tools on a virtual distributed mechanism. Simulation results which use real world attack data demonstrated that the developed way is capable of accomplishing cyber security against outer attacks accurately, quickly and real time based sorting of the key pairs into each smart meter node in the demanded area.Publication Metadata only A Novel Application to Increase Energy Efficiency Using Artificial Neural Networks(28.01.2016) Buyuk, Oguzhan Oktay; Bilgin, Sevgi NurIn this paper, a novel system application to recover electricity losses using an unsupervised learning, self-learning mapping mechanism is introduced. Actually, energy and its transmission are becoming a vital issue for both the economy and the environment. Considering many devices in our world run on electricity, it is now important to keep up with how we can obtain maximum energy efficiency in electricity transmission by reducing losses and leakage. A new system application and module approach can communicate with electricity transmission lines to define and track energy losses. In this study, we examine how the system uses unsupervised learning to find the best transmission path to follow. This application is designed to interconnect with electricity transmission line on smart grids. This system also has critical recovering on CO2 emissions occurring on routing correct plan, notification integration which may prepare a report to the network nodes by itself.