◾ Real-Time Exposure Assessment and Job Analysis Techniques to Solve Hazardous Workplace Exposures

2012 ◽  
pp. 978-1017
Keyword(s):  
Exposure Assessment ◽  
Real Time ◽  
Job Analysis ◽  
Time Exposure ◽  
Analysis Techniques

scholarly journals Bayesian Algorithm Implementation in a Real Time Exposure Assessment Model on Benzene with Calculation of Associated Cancer Risks

Sensors ◽  
2009 ◽  
Vol 9 (2) ◽  
pp. 731-755 ◽  
Author(s):  
Dimosthenis Sarigiannis ◽  
Spyros Karakitsios ◽  
Alberto Gotti ◽  
Costas Papaloukas ◽  
Pavlos Kassomenos ◽  
...  
Keyword(s):  
Exposure Assessment ◽  
Real Time ◽  
Assessment Model ◽  
Cancer Risks ◽  
Bayesian Algorithm ◽  
Time Exposure ◽  
Algorithm Implementation

scholarly journals Novel monitor paradigm for real-time exposure assessment

2010 ◽  
Vol 21 (4) ◽  
pp. 419-426 ◽  
Author(s):  
Indira Negi ◽  
Francis Tsow ◽  
Kshitiz Tanwar ◽  
Lihua Zhang ◽  
Rodrigo A Iglesias ◽  
...  
Keyword(s):  
Exposure Assessment ◽  
Real Time ◽  
Time Exposure

Creative job analysis techniques of astronaut using archival data

2010 ◽  
Author(s):  
Kathryn Keeton ◽  
Holly Patterson ◽  
Lacey L. Schmidt ◽  
Kelley J. Slack ◽  
Camille Shea
Keyword(s):  
Job Analysis ◽  
Archival Data ◽  
Analysis Techniques

scholarly journals Reducing the Influence of Environmental Factors on Performance of a Diffusion-Based Personal Exposure Kit

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4637
Author(s):  
Huixin Zong ◽  
Peter Brimblecombe ◽  
Li Sun ◽  
Peng Wei ◽  
Kin-Fai Ho ◽  
...  
Keyword(s):  
Exposure Assessment ◽  
Real Time ◽  
Low Cost ◽  
Personal Exposure ◽  
Sensor Technology ◽  
Heterogeneous Environments ◽  
Mathematical Algorithms ◽  
Personal Exposure Assessment ◽  
Address System ◽  
The Impact

Sensor technology has enabled the development of portable low-cost monitoring kits that might supplement many applications in conventional monitoring stations. Despite the sensitivity of electrochemical gas sensors to environmental change, they are increasingly important in monitoring polluted microenvironments. The performance of a compact diffusion-based Personal Exposure Kit (PEK) was assessed for real-time gaseous pollutant measurement (CO, O3, and NO2) under typical environmental conditions encountered in the subtropical city of Hong Kong. A dynamic baseline tracking method and a range of calibration protocols to address system performance were explored under practical scenarios to assess the performance of the PEK in reducing the impact of rapid changes in the ambient environment in personal exposure assessment applications. The results show that the accuracy and stability of the ppb level gas measurement is enhanced even in heterogeneous environments, thus avoiding the need for data post-processing with mathematical algorithms, such as multi-linear regression. This establishes the potential for use in personal exposure monitoring, which has been difficult in the past, and for reporting more accurate and reliable data in real-time to support personal exposure assessment and portable air quality monitoring applications.

Schedulability Analysis for Timed Automata With Tasks

2021 ◽  
Vol 20 (5s) ◽  
pp. 1-26
Author(s):  
Jinghao Sun ◽  
Nan Guan ◽  
Rongxiao Shi ◽  
Guozhen Tan ◽  
Wang Yi
Keyword(s):  
Model Checking ◽  
State Space ◽  
Real Time ◽  
Timed Automata ◽  
Schedulability Analysis ◽  
Scheduling Theory ◽  
Real Time Scheduling ◽  
Analysis Techniques ◽  
Model Complex ◽  
Time Scheduling

Research on modeling and analysis of real-time computing systems has been done in two areas, model checking and real-time scheduling theory. In model checking, an expressive modeling formalism such as timed automata (TA) is used to model complex systems, but the analysis is typically very expensive due to state-space explosion. In real-time scheduling theory, the analysis techniques are highly efficient, but the models are often restrictive. In this paper, we aim to exploit the possibility of applying efficient analysis techniques rooted in real-time scheduling theory to analysis of real-time task systems modeled by timed automata with tasks (TAT). More specifically, we develop efficient techniques to analyze the feasibility of TAT-based task models (i.e., whether all tasks can meet their deadlines on single-processor) using demand bound functions (DBF), a widely used workload abstraction in real-time scheduling theory. Our proposed analysis method has a pseudo-polynomial time complexity if the number of clocks used to model each task is bounded by a constant, which is much lower than the exponential complexity of the traditional model-checking based analysis approach (also assuming the number of clocks is bounded by a constant). We apply dynamic programming techniques to implement the DBF-based analysis framework, and propose state space pruning techniques to accelerate the analysis process. Experimental results show that our DBF-based method can analyze a TAT system with 50 tasks within a few minutes, which significantly outperforms the state-of-the-art TAT-based schedulability analysis tool TIMES.

scholarly journals AWARE: A Wearable Awareness with Real-time Exposure, for monitoring alcohol consumption impact through ethyl glucuronide detection

Alcohol ◽  
2019 ◽  
Vol 81 ◽  
pp. 93-99 ◽  
Author(s):  
Kai-Chun Lin ◽  
David Kinnamon ◽  
Devangsingh Sankhala ◽  
Sriram Muthukumar ◽  
Shalini Prasad
Keyword(s):  
Alcohol Consumption ◽  
Real Time ◽  
Ethyl Glucuronide ◽  
Time Exposure

Pathway-based approaches for assessment of real-time exposure to an estrogenic wastewater treatment plant effluent on fathead minnow reproduction

2016 ◽  
Vol 35 (3) ◽  
pp. 702-716 ◽  
Author(s):  
Jenna E. Cavallin ◽  
Kathleen M. Jensen ◽  
Michael D. Kahl ◽  
Daniel L. Villeneuve ◽  
Kathy E. Lee ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Real Time ◽  
Wastewater Treatment Plant ◽  
Fathead Minnow ◽  
Treatment Plant ◽  
Time Exposure ◽  
Wastewater Treatment Plant Effluent
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