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This paper deals with the accurate interpretation of inspection data for various classes of form tolerances.
This paper presents a case study applied to collect and analyze visual inspection data for the reason of evaluating the impact of speed humps on pavement condition on intercity rural roads.
The output was TMD score.The training and inspection data for ANN was collected from workers of food production system as Tempe, Bakpia, Fish Chips and Crackers industries in Yogyakarta Special Region.ANN model were tested successfully predicted TMD score using back-propagation supervised learning method.
Despite this recognition, systematic collection and use of meat inspection data for epidemiological surveillance is scarce at the European Union level [ 6].
From the perspective of using meat inspection data for syndromic surveillance purposes, the objective of this study was to define syndromes through a statistical approach.
We analysed meat inspection data for cattle, pigs and small ruminants slaughtered between 2007 and 2012 (including emergency slaughters of sick/injured animals); investigating patterns in the number of animals slaughtered and condemned; the reasons invoked for whole carcass condemnations; reporting biases and regional effects.
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For example, there will be updated crime incident data from the police department and restaurant inspection data from the Department of Public Health.
The inspection data obtained for the selected parameters are simulated in a proposed health condition and pipeline risk assessment matrix that complies with tested and verified safe operating criteria defined in relevant pipeline integrity technical guidance documents.
Three deterministic and probabilistic models, which account for the sizing bias inherent in in-line inspection data, are introduced for the corrosion growth analysis.
We retrospectively describe the meat inspection data routinely collected for cattle, pigs and small ruminants (sheep and goats) slaughtered in Switzerland between 01/01/2007 and 31/12/2012.
Meat inspection data on the animal level for cattle and swine will also be part of the warehouse and from these, registrations related to welfare or infections can be found.
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