Monitoring of Real-Time Properties

Proposed new signal for real-time stress monitoring: Combination of physiological measures

Human stress is a physiological tension that appears when a person responds to mental, emotional, or physical chal-lenges. Detecting human stress and developing methods to manage it, has become an important issue nowadays. Au-tomatic stress detection through physiological signals may be a useful method for solving this problem. In most of the earlier studies, long-term time window was considere...

\"Internet of Things\": An Emerging Real-Time Technology for Environmental Health Monitoring

Real-time quality monitoring in debutanizer column with regression tree and ANFIS

A debutanizer column is an integral part of any petroleum refinery. Online composition monitoring of debutanizer column outlet streams is highly desirable in order to maximize the production of liquefied petroleum gas. In this article, data-driven models for debutanizer column are developed for real-time composition monitoring. The dataset used has seven process variables as inputs and the outp...

Real-time acoustic tomography system and the experience of Caspian current sea monitoring

The Acoustic Tomography (AT) systems are used to monitor long-term and continuous flow in rivers, seas and oceans. One of the disadvantages of existing systems in Iran is the inability of real-time/automated measurements. In this study, by adding a raspberry Pi computer to the system and performing the required programming, it was possible to do online monitoring. The data are transferred to th...

Feasibility Study of Real-time and Automated Monitoring of Iranian Rivers using 50-kHz Fluvial Acoustic Tomography System

Acoustic Tomography (AT) technique is an innovative method for real-time river monitoring. In this study, not only the accuracy of flow velocity measurement using 50 kHz AT system which is appropriate for narrow rivers (most Iranian rivers) is evaluated, but also its performance is compared with 30 kHz one which is used in wide rivers. The comparison results showed that the velocity resolutions...

Implementation of Random Forest Algorithm in Order to Use Big Data to Improve Real-Time Traffic Monitoring and Safety

Nowadays the active traffic management is enabled for better performance due to the nature of the real-time large data in transportation system. With the advancement of large data, monitoring and improving the traffic safety transformed into necessity in the form of actively and appropriately. Per-formance efficiency and traffic safety are considered as an im-portant element in measuring the pe...