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Relevant bibliographies by topics / Mental fatigue; Radar operators

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Academic literature on the topic 'Mental fatigue; Radar operators'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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Journal articles on the topic "Mental fatigue; Radar operators"

1

Minarna, Faris Mohamad. "HUBUNGAN ANTARA FAKTOR INDIVIDU DAN BEBAN KERJA MENTAL DENGAN KELUHAN KELELAHAN KERJA PADA PENGEMUDI HAUL DUMPTRUCK." Journal of Community Mental Health and Public Policy 1, no. 1 (October 30, 2018): 1–12. http://dx.doi.org/10.51602/cmhp.v1i1.16.

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Haul dumptruck is a heavy-duty vehicles which is used to haul the overburden from loading point to disposal area. Haul dumptruck is driven by operators who have a high enough workload risk, especially on mental activity. The purpose of this study was to learn the correlation between mental workload with fatigue complaints of PT. MKP haul dumptruck operators at PKP2B PT. Mandiri Intiperkasa Site Krassi, Tarakan, Kalimantan Utara. This research was an analytic observational research with cross sectional design. The Sample of this research was 110 PT. MKP haul dumptruck operators at PKP2B PT. Mandiri Intiperkasa Site Krassi. The Variables of this research were individual factors (age, gender, and years of service), mental workload, and fatigue complaints. The data were analyzed by spearman correlation test to analyze the correlation between variables. The results showed 50% of haul dumptruck operators were 35-44 years old, 100% male, and 32.7% had 7-10 years of service. Most of haul dumptruck operators (58.2%) had very high mental workload levels and 68.2% was having low-grade fatigue complaints. The significant ρ value of the spearman test between mental workload and fatigue complaints was 0,400, while the correlation coefficient value was -0,081. The conclusion of this reasearch indicated that there was not a significant correlation between mental workload and fatigue complaints on haul dumptruck operators. Recommendation for the company are forming a labor unions, fixing cottage rest areas, giving co-worker when haul dumptruck operators complain of fatigue and mental workload on high level, and maintainin-developing a fatigue management as well as raising workers' awareness on its application.

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Xiao, Hong, Yugang Duan, Zhongbo Zhang, and Ming Li. "Detection and estimation of mental fatigue in manual assembly process of complex products." Assembly Automation 38, no. 2 (April 3, 2018): 239–47. http://dx.doi.org/10.1108/aa-03-2017-040.

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Purpose This paper aims to investigate an approach for mental fatigue detection and estimation of assembly operators in the manual assembly process of complex products, with the purpose of founding the basis for adaptive transfer and demonstration of assembly process information (API), and eventually making the manual assembly process smarter and more human-friendly. Design/methodology/approach The proposed approach detects and estimates the mental state of assembly operators by electroencephalography (EEG) signal recording and analysis in an engine assembly experiment. When the subjects perform assembly tasks, their EEG signal is recorded by a portable EEG recording system called Emotiv EPOC+ headset. The feature set of the EEG signal is then extracted by calculating its power spectrum density (PSD), followed by data dimension reduction based on principal component analysis (PCA). The dimension-reduced data are classified by using support vector machines (SVMs), and hence, the mental state of assembly operators can be estimated during the assembly process. Findings The experimental result shows that the proposed approach is able to estimate the mental state of assembly operators within an acceptable accuracy range, and the PCA-based dimension reduction method performs very well by representing the high-dimensional EEG feature set with just a few principal components. Originality/value This paper provides theoretical and experimental basis for the API transfer and demonstration based on human cognition. It provides a new idea to seek balance between the improvement of production efficiency and the sustainable utilization of human resources.

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Charbonnier, Sylvie, Raphaelle N. Roy, Stephane Bonnet, and Aurelie Campagne. "EEG index for control operators’ mental fatigue monitoring using interactions between brain regions." Expert Systems with Applications 52 (June 2016): 91–98. http://dx.doi.org/10.1016/j.eswa.2016.01.013.

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Li, Jue, Heng Li, Waleed Umer, Hongwei Wang, Xuejiao Xing, Shukai Zhao, and Jun Hou. "Identification and classification of construction equipment operators' mental fatigue using wearable eye-tracking technology." Automation in Construction 109 (January 2020): 103000. http://dx.doi.org/10.1016/j.autcon.2019.103000.

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Anastasi, Donna, Diane Miller, and Ann-Marie T. Lind. "Team CTA Applied to Radar Operations System Modernization." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 3 (October 1998): 210–14. http://dx.doi.org/10.1177/154193129804200306.

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A team Cognitive Task Analysis (CTA) approach has been applied to the modernization of a radar operations system. With the remoting and automation of radar operations, there will be dramatic changes in the number and role of operators, as well as the displays required to support operators during missions. To design the new modernized system it is necessary to obtain a full understanding of how the current system operates and ensure that the allocation of tasks to humans and automation fully covers the entire operation. Traditional task analysis does not take into consideration plans for staffing reduction and addition of the new team “member” or agent, i.e., the automated system. To facilitate operator interaction with the modernized system, a new team architecture must be considered. CTA documents current operations, including a representation of mental activities, e.g., assessments, judgements, and decisions, in addition to the physical actions, e.g., executing system commands. A team CTA method is used to model the operations independent of the current operator roles and team structure. This approach captures the element of “team” by assuming a meta-operator and representing parallel tasking and data flow among tasks. This paper provides a description of the team CTA method and its application to large-scale, complex system design.

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Vangelova, K., and D. Velkova. "Stress and Fatigue in Operators Under Radiofrequency Electromagnetic Radiation and Shift Work." Acta Medica Bulgarica 41, no. 2 (December 1, 2014): 20–27. http://dx.doi.org/10.1515/amb-2014-0016.

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Summary The aim was to study the effect of radiofrequency electromagnetic radiation (EMR) on stress indices, health complaints and fatigue of operators working fast-rotating extended shifts. Working conditions, job content, job control, social support, health complaints and fatigue were followed in 220 operators, 110 exposed to EMR and 110 control operators, matched by age and sex. The EMR was measured and time-weighted average (TWA) was calculated. The excretion rates of stress hormones cortisol, adrenaline and noradrenaline were followed during the extended shifts in 36 operators, working at different levels of exposure and 24-hour exposure was calculated. The exposed group pointed more problems with the working conditions, including EMR, noise, currents and risk of accidents, more health complaints and higher level of fatigue. The most common health complaints were mental and physical exhaustion after work, pains in the chest, musculoskeletal complaints, headache, and apathy. High level EMR exposure (TWAmean = 3.10 μW/cm2, TWAmax = 137.00 μW/cm2) significantly increased the 24-hour excretion of cortisol and noradrenaline, whereas the increase of adrenaline excretion did not reach significance, as well as hormone excretion rates under low level exposure (TWAmean = 1.89 μW/cm2, TWAmax = 5.24 μW/cm2). In conclusion, higher number of health complaints, higher stress hormone excretion rates and fatigue were found in operators under EMR.

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Li, Fan, Chun-Hsien Chen, Gangyan Xu, Li Pheng Khoo, and Yisi Liu. "Proactive mental fatigue detection of traffic control operators using bagged trees and gaze-bin analysis." Advanced Engineering Informatics 42 (October 2019): 100987. http://dx.doi.org/10.1016/j.aei.2019.100987.

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Sidhu, Sophia, and Grace An. "Occupational Health Internship Program at a Metropolitan Transit Authority: Exploring Split Shifts as a Health and Safety Concern for Bus Operators." NEW SOLUTIONS: A Journal of Environmental and Occupational Health Policy 29, no. 2 (May 28, 2019): 266–83. http://dx.doi.org/10.1177/1048291119853306.

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Bus operators are exposed to many occupational hazards, ranging from workplace violence to air pollution to biohazards. Through a summer project, Occupational Health Internship Program students explored bus operators’ health and safety concerns at the Amalgamated Transit Union Local #265 in San Jose, CA. Pilot surveys and individual interviews were used to identify operators’ perspectives on split shifts. A majority of a small sample of 109 bus operators reported dissatisfaction with split shifts, experience with physical and mental fatigue, stress from working these shifts, and inability to focus on immediate tasks due to working split shifts. Some operators preferred split shifts for various reasons, including having time to perform errands, eat lunch, and rest. Operators’ suggestions to improve route scheduling include split shift observations by management, upward communication with senior management, and improvement of bus yard and relief point facilities where operators take their breaks between shifts.

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Ganapolsky, Vyacheslav P., Svetlana S. Grinchuk, Vasily N. Bolekhan, Olga V. Izvozchikova, Olga V. Luchnikova, Marina K. Rzhepetskaya, and Nelli Alekseevna Shchukina. "APPLICATION FEATURES OF CAFFEINE-CONTAINING COMPLEX BY OPERATORS IN DAILY DUTY." Bulletin of the Russian Military Medical Academy 19, no. 1 (December 15, 2017): 4–8. http://dx.doi.org/10.17816/brmma12158.

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The performance of volunteers-operators of duty shifts, subjected to increased mental and psycho-emotional loads during prolonged operator’s performance using a caffeine-containing complex (chewing gum) has been studied. It has been revealed that in performing their duty shifts under fatigue conditions (a state of monotony), the use of a caffeine-containing complex can lead to a slight improvement in the subjective status against the background of a decrease in the vegetative parameters values of the cardiovascular system (tone of peripheral vessels) (2 tables, bibliography: 8 refs).

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Shortz, Ashley E., Madeline Franke, E. Simay Kilic, S. Camille Peres, and Ranjana K. Mehta. "Evaluation of Offshore Shiftwork using Heart Rate Variability." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1036–39. http://dx.doi.org/10.1177/1541931213601742.

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The high fatality rate in oil and gas extraction (OGE) is a growing concern within the industry. OGE workers are exposed to long work hours, intense mental and physical workload, coupled with changing shift patterns, which can lead to elevated fatigue levels. The aim of this study was to explore the effect of shiftwork on heart rate variability indicators of workload and fatigue using wearable monitors in offshore operations. Ten male operators (age: 31.3 (6.1) years; stature: 1.72 (0.1) m; weight: 85.24 (9.8) kg) were monitored throughout their daily shifts for six days on an offshore drillship using physiological sensors. Heart rate variability (HRV) was measured in the frequency (ratio of low to high frequency; LF/HF) and temporal (root mean square of successive differences; RMSSD) domains. Six of the ten operators underwent swing shifts in the middle of the data collection period. There was a main effect of shift time on HRV parameters (i.e., operators on night shift were in a more fatigued state), and a main effect of swing shift on LF/HF (i.e., when swing shift occurred, those operators were more fatigued). Findings suggest that physiological profiles differ based on shift time and swing shifts, and that swing shifts for night shift workers adversely affect heart rate variability responses.

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Dissertations / Theses on the topic "Mental fatigue; Radar operators"

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Hodgetts, Vanessa. "The effect of feeding an oral solution of branched-chain amino acids on prolonged mental performance." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320228.

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Books on the topic "Mental fatigue; Radar operators"

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Berlin electropolis: Shock, nerves, and German modernity. Berkeley: University of California Press, 2006.

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Killen, Andreas. Berlin Electropolis: Shock, Nerves, and German Modernity. University of California Press, 2006.

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Killen, Andreas. Berlin Electropolis: Shock, Nerves, and German Modernity. University of California Press, 2006.

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Book chapters on the topic "Mental fatigue; Radar operators"

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Bustillos, Manuel Alejandro Barajas, Aide Aracely Maldonado-Macías, Jorge Luis García-Alcaraz, Juan Luis Hernández Arellano, and Liliana Avelar Sosa. "Considerations of the Mental Workload in Socio-Technical Systems in the Manufacturing Industry." In Advanced Macroergonomics and Sociotechnical Approaches for Optimal Organizational Performance, 99–116. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7192-6.ch005.

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As cognitive tasks have displaced physical tasks in today's manufacturing industry, this sector can demand high levels of mental workload from workers. In certain situations, there is a high cognitive load, which affects operators reducing their attention to the task and causing them mental fatigue and distractions, resulting in errors that generate economic costs or even injuries to workers. This literature review aims to provide a comprehensive understanding the use of mental workload in the manufacturing sector. The methodology consisted of conducting a search in four databases. In the search, a combination of keywords was used, classifying each journal according to the mental workload evaluation means, the type of evaluation, and the area of application. Articles not focusing on the manufacturing area were discarded. Of the total of 3839 articles found, 12 have been selected. Regarding the methods used for mental load assessment, the analytic techniques were found to be the most frequently used.

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Bustillos, Manuel Alejandro Barajas, Aide Aracely Maldonado-Macías, Jorge Luis García-Alcaraz, Juan Luis Hernández Arellano, and Liliana Avelar Sosa. "Considerations of the Mental Workload in Socio-Technical Systems in the Manufacturing Industry." In Research Anthology on Changing Dynamics of Diversity and Safety in the Workforce, 66–84. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2405-6.ch005.

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As cognitive tasks have displaced physical tasks in today's manufacturing industry, this sector can demand high levels of mental workload from workers. In certain situations, there is a high cognitive load, which affects operators reducing their attention to the task and causing them mental fatigue and distractions, resulting in errors that generate economic costs or even injuries to workers. This literature review aims to provide a comprehensive understanding the use of mental workload in the manufacturing sector. The methodology consisted of conducting a search in four databases. In the search, a combination of keywords was used, classifying each journal according to the mental workload evaluation means, the type of evaluation, and the area of application. Articles not focusing on the manufacturing area were discarded. Of the total of 3839 articles found, 12 have been selected. Regarding the methods used for mental load assessment, the analytic techniques were found to be the most frequently used.

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Conference papers on the topic "Mental fatigue; Radar operators"

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"Research on the Mental Fatigue Evaluation of Modern Manufacturing Operators Based on Bp Neural Network." In 2018 4th World Conference on Control, Electronics and Computer Engineering. Francis Academic Press, 2018. http://dx.doi.org/10.25236/wccece.2018.47.

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Shimp, Samuel K., Steve C. Southward, and Mehdi Ahmadian. "Detecting Crew Alertness With Processed Speech." In ASME/IEEE 2007 Joint Rail Conference and Internal Combustion Engine Division Spring Technical Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/jrc/ice2007-40101.

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This paper proposes a solution for improving the safety of rail and other mass transportation systems through operator alertness monitoring. A non-invasive method of alertness monitoring through speech processing is presented. Speech analysis identifies measurable vocal tract changes due to fatigue and decreased speech rate due to decreased mental ability. Enabled by existing noise reduction technology, a system has been designed for measuring key speech features that are believed to correlate to alertness level. The features of interest are pitch, word intensity, pauses between words and phrases, and word rate. The purpose of this paper is to describe the overall alertness monitoring system design and then to show some experimental results for the core processing algorithm which extracts features from the speech. The feature extraction algorithm proposed here uses a new and simple technique to parse the continuous speech signal coming from the communication signal without using computationally demanding and error-prone word recognition techniques. Preliminary results on the core feature extraction algorithm indicate that words, phrases, and rates can be determined for relatively noise-free speech signals. Once the remainder of the overall alertness monitoring system is complete, it will be applied to real life recordings of train operators and will be subjected to clinical testing to determine alert and non-alert levels of the speech features of interest.

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