Abstract: The present disclosure relates to a method for predicting the pressurization rate of an oil tank. An embodiment of a method includes obtaining plant information data, classifying an operating period, selecting a modeling data range; determining total gas volume in the tank through data from an oil tank liquid level sensor, determining an average pressure of the gas phase in the tank through the data from the oil tank top pressure sensor, determining an average temperature of the gas phase in the tank through data from an oil tank top temperature sensor, setting the desired oil flow rate, predicting the future pressure in relation to the desired oil flow rate, predicting violation of the critical pressure, determining a period of time of weather calm, and setting a new oil production setpoint.

Abstract: A method of evaluating threats to a network may gather existing threat from a plurality of online sources, collect the existing threats in a database and format the data representing existing threats in the database for review. The method may determine a rating for each existing threat, evaluate attractiveness of honeypots to threats and adjusting the ratings for the threats based on the attractiveness of the honeypots. The method may evaluate applications on network, rank the threats based on the apps and communicate the rankings to a user.

Abstract: There is described a method for evaluating a heart rate variability comprising: receiving an electrocardiogram representing an electrical activity of a heart; determining a modulation spectrum for the electrocardiogram, the modulation spectrum comprising a plurality of per-frame modulation spectrograms each representing a frequency as a function of a modulation frequency; for each per-frame modulation spectrogram, determining a respective central modulation frequency; determining an indication of the heart rate variability using the determined respective central modulation frequencies for the per-frame modulation spectrograms, a mean central modulation frequency and the number of per-frame modulation spectrograms; and outputting the indication of the heart rate variability.

Abstract: There is described a method for evaluating a level of noise in a biosignal, the method comprising: receiving a time signal representative of a biological activity, the time signal comprising a biological activity component and a noise component; determining a modulation spectrum for the time signal, the modulation spectrum representing a signal frequency as a function of a modulation frequency; from the modulation spectrum determining a first amount of modulation energy corresponding to the biological activity component and a second amount of modulation energy corresponding to the noise component determining an indication of the level of noise using the first and second amounts of modulation energy; and outputting the indication of the level of noise.

Abstract: There is described a method for evaluating a level of noise in a biosignal the method comprising receiving a time signal representative of a biological activity, the time signal comprising a biological activity component and a noise component; determining a modulation spectrum for the time signal, the modulation spectrum representing a signal frequency as a function of a modulation frequency; from the modulation spectrum determining a first amount of modulation energy corresponding to the biological activity component and a second amount of modulation energy corresponding to the noise component determining an indication of the level of noise using the first and second amounts of modulation energy; and outputting the indication of the level of noise.