23,109 research outputs found
Wireless body sensor networks for health-monitoring applications
This is an author-created, un-copyedited version of an article accepted for publication in
Physiological Measurement. The publisher is
not responsible for any errors or omissions in this version of the manuscript or any version
derived from it. The Version of Record is available online at http://dx.doi.org/10.1088/0967-3334/29/11/R01
Chronic Disease and the Internet
Compares survey data on access to and use of the Internet and social media by chronically ill and healthy adults, sources and topics of health information, and impact of online information. Examines the information gap by health status and demographics
Alcuni abstract di articoli che trattano argomenti relativi all'eHealth
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Modeling Maintenance Productivity Measurement of Engineering Production Systems: Discrete Event Simulation Approach
Modeling and simulation of industrial information communication systems and networks is one of the
major concerns of productivity engineers for the establishment of productivity standards in virtually
all functional areas of an industrial organization. Maintenance function is one of such areas that have
always engaged the attention of engineering productivity practitioners. However, one of the basic prob-
lems is the difficulty in setting up integrated but easy and practical measurement schemes. Even where
the measures are set up, the approaches to measurement sometimes are conflicting. Therefore the need
for an integrated approach to optimize the basket of parameters measured remains.
In this chapter the author attempts to identify approaches in integrated and systematic maintenance
productivity measurement and create models for optimising total productivity in maintenance systems.
Visual yardstick, utility, queuing systems and simulations approaches for measurement of maintenance
productivity are all discussed with a particular focus on markov chain approach for stochastic break-
downs in repairable systems.. The chapter also shows how understanding the impact of plant failure and
repair/service distributions assists in providing measures for maintenance productivity using discrete
event system simulation
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