Assessment of the mental fatigue state of an operator influenced by electromagnetic noise radiation

Objectives. The problem of determining the mental fatigue of the operator, which is processing the confidential information under the influence of electromagnetic noise radiation, is solved. The relevance of the problem is associated with the need to process the confidential information by the operator located in the limited space of a mobile technical system.Methods. The methods of spectral analysis theory of the results, received in the process of experimental studies the electroencephalograms, are used.Results. The results of experimental studies were obtained based on the processing and analysis of electroencephalograms recorded in standard leads Fp1, Fp2, F3, F4, C3, C4, P3, P4, O1, O2, F7, F8, T3, T4, T5, T6. The following quantitative parameters have been analyzed: power spectral density of delta-, theta-, alpha-, beta-, gamma-rhythms under the influence of electromagnetic noise radiation.Conclusion. The presence of mental fatigue of the operator is based on a comparative analysis of the obtained results and the data described in the scientific literature related to the occurrence of chronic mental fatigue; the fatigue caused by the military performing simulation tasks; mental fatigue caused by performing an RVP test.

Characteristic Analysis and Experimental Verification of Electromagnetic and Vibration/Noise Aspects of Fractional-Slot Concentrated Winding IPMSMs of e-Bike

In this study, we performed the electromagnetic and mechanical characteristic analyses of an 8-pole 12-slot interior permanent magnet synchronous motor (IPMSM). Permanent magnet synchronous motors are classified into surface permanent magnet synchronous motor and interior permanent magnet synchronous motors according to the type of rotor. The IPM type is advantageous for high-speed operation because of the structure where the permanent magnet is embedded inside the rotor, and it has the advantage of having a high output density by generating not only the magnetic torque of the permanent magnet, but also the reluctance torque. However, such a motor has more vibration/noise sources than other types, owing to changes in reluctance. The sources of motor noise/vibration can be broadly classified into electromagnetic, mechanical, and aerodynamic sources. Electromagnetic noise sources are classified into electromagnetic excitation sources, torque pulsations, and unbalanced magnetic forces (UMFs). Vibration and noise cause machine malfunctions and affect the entire system. Therefore, it is important to analyze the electromagnetic vibration source. In this study, the electromagnetic characteristics of an IPMSM were analyzed through the finite element method to derive the UMF. Vibration and noise analyses were performed by electromagnetic–mechanical coupling analysis, and vibration and noise characteristics based on electromagnetic noise sources were analyzed.

Validation of 3-Space Wireless Inertial Measurement Units Using an Industrial Robot

Inertial Measurement Units (IMUs) are beneficial for motion tracking as, in contrast to most optical motion capture systems, IMU systems do not require a dedicated lab. However, IMUs are affected by electromagnetic noise and may exhibit drift over time; it is therefore common practice to compare their performance to another system of high accuracy before use. The 3-Space IMUs have only been validated in two previous studies with limited testing protocols. This study utilized an IRB 2600 industrial robot to evaluate the performance of the IMUs for the three sensor fusion methods provided in the 3-Space software. Testing consisted of programmed motion sequences including 360° rotations and linear translations of 800 mm in opposite directions for each axis at three different velocities, as well as static trials. The magnetometer was disabled to assess the accuracy of the IMUs in an environment containing electromagnetic noise. The Root-Mean-Square Error (RMSE) of the sensor orientation ranged between 0.2° and 12.5° across trials; average drift was 0.4°. The performance of the three filters was determined to be comparable. This study demonstrates that the 3-Space sensors may be utilized in an environment containing metal or electromagnetic noise with a RMSE below 10° in most cases.

Technology for Location, Analysis and Interpretation of Magnetic Alterations as Precursors of Seismic Phenomena Update

To date, several studies have shown that the Earth's magnetic field suffers alterations at the local geographical location before an earthquake occur. Its study demonstrates that the Earth’s magnetic alterations at specific local geographical zone, is a local seismic precursor alerting a proximity of an earthquake with a margin of error of approximately 10%. The electromagnetic noise from background is very confusing, but that reason was necessary to identify these electromagnetic signal precursors by filtering a large amount of noise. To isolate the electromagnetic noise, was implemented a Magnetic North deflection detection in Smart Phones Magnetometers. Using it technology, was developed a mathematical algorithm that work in combination with the Smart Phones magnetometers. This research was based using in reference the study carried out by the Department of Physics of the Faculty of Physical Sciences and Mathematics (FCFM) of the University of Chile directed by Cordado, 2018[1], in the paper called “Latitudinal variation rate of geomagnetic cutoff rigidity in the active Chilean convergent margin”.

Sensing in the Anthropocene

This chapter examines how the growing understanding of the variety of sensory systems used by nature has inspired new technologies to benefit human lives and society. A growing area is biomimicry, which involves inventions inspired by nature, and this has included trying to copy the sensory systems of animals. Humans also use animals directly in many ways; tens of billions of birds are kept for food production, not to mention other animal groups. There is much potential for food industries and places such as zoos to adopt conditions that are tailored to the sensory worlds and wellbeing of the animals they keep. The chapter then addresses how humans are dramatically altering the sensory worlds of animals. It considers the impacts of chemical pollution, sound or noise pollution, light pollution, electromagnetic noise, and climate change on animal senses. Finally, the chapter looks at how knowledge of animal senses has been put to good use in seeking to solve one of the problems of humanity’s own creation, namely overfishing. The use of LED lights in fisheries as a way of preventing bycatch, especially of highly visual animals such as turtles, is very promising, and target species appear to be relatively unaffected.