*.mat
The data provided here correspond to the TPWRS paper presenting a novel filter design procedure to optimally split the Frequency Regulation (FR) signal between conventional and fast regulating Energy Storage System (ESS) assets, considering typical Communication Delays (CDs). The filter is then integrated into a previously validated FR model of the Ontario Power System (OPS) including Battery and Flywheel ESSs, which is used to analyze the impact of these ESSs, CDs, and limited regulation capacity in the FR process in a real system. The proposed methodology to split the
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In order to obtain the constants of our PID temperature controller, it was necessary to identify the system. The identification of the system allows us, through experimentation, to find the representation of the plant to be able to control it.
The first data with name "data_2.mat" represent the open loop test, where the sampling frequency is 100 [Hz], this data was useful to find the period of the pulse train generator, which is twice the slowest sampling time analyzed between the high pulse and low pulse of the input.
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Recently, surface electromyography (sEMG) emerged as a novel biometric authentication method. Since EMG system parameters, such as the feature extraction methods and the number of channels, have been known to affect system performances, it is important to investigate these effects on the performance of the sEMG-based biometric system to determine optimal system parameters.
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The purpose of this data collection was for the validation of a cuffless blood pressure estimation model during activities of daily living. Data were collected on five young healthy individuals (four males, age 28 ± 6.6 yrs) of varied fitness levels, ranging from sedentary to regularly active, and free of cardiovascular and peripheral vascular disease. Arterial blood pressure was continuously measured using finger PPG (Portapres; Finapres Medical Systems, the Netherlands).
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This dataset contains a created ST annotations for all recordings of Abdominal and Direct Fetal ECG Database (ADFECGDB).
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Acoustic measurement data from Multilayer Ceramic Capacitors (MLCCs). Contains preprocessed data from intact and damaged MLCCs for damage detection (classification) purposes.
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This dataset contains 1944 data, which are scanned by the HIS-RING PACT system.
the data sampling rate of our system is 40 MSa/s, a 128-elements 2.5MHz full-view ring-shaped transducer with 30mm radius.
continuous updating.....
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This dataset contains one ideal fetal phonocardiography (fPCG) signal and twelve signals made by adding three types of interference having different amplitudes to the reference signal.
- Ambient noise - this is any noise from the surroundings. It occurs commonly when recording the fPCG. Its spec-trum includes frequencies from 10 Hz.
- White Gaussian noise - a random signal with the same power in any band of the same width.
- Maternal and fetal movement artifacts - a noise caused by muscle movement or breathing. They occur at low frequencies, usually up to 100 Hz.
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