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- 저자 : Fatima Ambreen (검색결과 2 건)
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The Assessment of Occupational Injuries of Workers in Pakistan
Noman Muhammad,Mujahid Nooreen,Fatima Ambreen 한국산업안전보건공단 산업안전보건연구원 2021 Safety and health at work Vol.12 No.4
Background: The prevailing global work scenario and deteriorating health facilities in economies indulge the risk perspective in the labor market model. This is the reason that the risk factor is cautiously attributed to wages and labor market efficiencies specifically in developing and emerging economies. In this respect, Occupational Injuries of Workers (OIW) is considered essential to demonstrate the risk and Occupational Health and Safety (OHS) setups given the constraints of the labor. Intuitively, the prime objective of this study is to make an assessment of the labor market considering the OIW through the indicators of industry division, employment status, occupational distribution, adopted treatment, gender and regionality. Methods: The assessment strategy of the study has been categorized into trend analysis and Index Value Calculation (IVC) segments employing the data from 2001 to 2018. Results: The pattern of the selected indicators of the OIW has been observed in the available data while the IVC estimations are considered through time and reference categories. The findings of both exercises revealed absolute and relative heterogeneities at both industry and occupational levels. Conclusion: The consistency for gender and regional distribution of both assessments points out the need for effective policy initiatives. The study suggests separate analyses of industry and occupations for a better understanding of the OHS setups and up-gradation in Pakistan.
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Real-Time Brain Activation Detection by FPGA Implemented Kalman Filter
Muhammad Shahid Nazir,Muhammad Aqil,Ambreen Mustafa,Ameer Hamza Khan,Fatima Shams 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
This paper presents an embedded system for real-time multi-channel brain activity detection by implementing the Kalman filter (KF) core on a field-programmable gate array (FPGA). The KF with a model driven approach is implemented on an FPGA, for the first time as per our knowledge. The model driven based brain activation model and its parameters" estimation methodology by KF is depicted from Aqil et al., 2012 (Detection of event-related hemodynamic response to neuroactivation by dynamic modeling of brain activity). The multiple instantiations of the KF core along with the coding of necessary compatibilities amongst the KF cores and with a single communication core, allow the parallel processing of multiple measurement channels. Through a serial universal asynchronous receiver/transmitter core, the fNIRS data is communicated to the system where it is being concurrently processed in 32-bit single precision IEEE754 format. The proposed fNIRS-KF embedded system is verified by an fNIRS dataset in real-time.
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