The Experts below are selected from a list of 306 Experts worldwide ranked by ideXlab platform
Zhenye Li - One of the best experts on this subject based on the ideXlab platform.
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ICAT Workshops - Analysis of Operator's Visual Process Using a Human Information Processing Model
16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06), 2006Co-Authors: Zhenye LiAbstract:In order to understand the generation mechanism of various types of human errors in industrial production, we have developed a human information-Processing Model to simulate human operators? behavior under abnormal situations. In this study we proposed a new human Model and installed the Model on a PC. The developed Model is used to analyze the visual process when the operator monitors the overview panel of a plant simulator. The visual process is decided by characteristics of the panel information, the human operator?s mental and physical conditions, parameters of the perceptual processor and so on. The simulation results coincided qualitatively with observations of actual plant operations and simulator training. Accordingly, we can study how to prevent human errors and evaluate the effects of various measures using the human Model.
Geoffrey M Boynton - One of the best experts on this subject based on the ideXlab platform.
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visual word recognition evidence for a serial bottleneck in lexical access
Attention Perception & Psychophysics, 2020Co-Authors: Alex L White, John Palmer, Geoffrey M BoyntonAbstract:Reading is a demanding task, constrained by inherent Processing capacity limits. Do those capacity limits allow for multiple words to be recognized in parallel? In a recent study, we measured semantic categorization accuracy for nouns presented in pairs. The words were replaced by post-masks after an interval that was set to each subject’s threshold, such that with focused attention they could categorize one word with ~80% accuracy. When subjects tried to divide attention between both words, their accuracy was so impaired that it supported a serial Processing Model: on each trial, subjects could categorize one word but had to guess about the other. In the experiments reported here, we investigated how our previous result generalizes across two tasks that require lexical access but vary in the depth of semantic Processing (semantic categorization and lexical decision), and across different masking stimuli, word lengths, lexical frequencies and visual field positions. In all cases, the serial Processing Model was supported by two effects: (1) a sufficiently large accuracy deficit with divided compared to focused attention; and (2) a trial-by-trial stimulus Processing tradeoff, meaning that the response to one word was more likely to be correct if the response to the other was incorrect. However, when the task was to detect colored letters, neither of those effects occurred, even though the post-masks limited accuracy in the same way. Altogether, the results are consistent with the hypothesis that visual Processing of words is parallel but lexical access is serial.
Arthur A. Teixeira - One of the best experts on this subject based on the ideXlab platform.
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Energy consumption in batch thermal Processing: Model development and validation
Journal of Food Engineering, 2006Co-Authors: Ricardo Simpson, C. Cortés, Arthur A. TeixeiraAbstract:Abstract Thermal Processing is an important method of food preservation in the manufacture of canned foods, retortable pouches, trays and bowls (retortable shelf-stable foods). The aim of this research was to develop a mathematical Model to estimate total and transient energy consumption during the heat Processing of retortable shelf-stable foods. The transient energy balance for a system defined as the steam and its water condensate in the retort requires no work term. The heat transfer terms include radiation and convection to the cook room environment, and heat transfer to the food in the cans. Mass and energy balance equations for the system were solved simultaneously, and the equation describing heat transfer in the food material was solved numerically using an explicit finite difference technique. Correlations valid in the range of interest (100 °C through 140 °C) were utilized to estimate the thermodynamic properties of steam, condensate, and food product. Depending upon selected conditions, retort insulation will account for a 15–25% energy reduction. In addition, initial temperature could reduce the peak energy demand in the order of 25–35%. These Models should be useful in searching for optimum scheduling of retort battery operation in the canning plant, as well as in the optimising process conditions, to minimize energy consumption.
Peter F Liddle - One of the best experts on this subject based on the ideXlab platform.
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an adaptive reflexive Processing Model of neurocognitive function supporting evidence from a large scale n 100 fmri study of an auditory oddball task
NeuroImage, 2005Co-Authors: Kent A Kiehl, Michael C Stevens, Kristin R Laurens, Godfrey D Pearlson, Vince D Calhoun, Peter F LiddleAbstract:Recent hemodynamic imaging studies have shown that Processing of low probability task-relevant target stimuli (i.e., oddballs) and low probability task-irrelevant novel stimuli elicit widespread activity in diverse, spatially distributed cortical and subcortical systems. The nature of this distributed response supports the Model that Processing of salient and novel stimuli engages many brain regions regardless of whether said regions were necessary for task performance. However, these latter neuroimaging studies largely employed small sample sizes and fixed-effect analyses, limiting the characterization and inference of the results. The present study addressed these issues by collecting a large sample size (n = 100) and employed random effects statistical Models. Analyses were also conducted to determine the inter-subject reliability of the hemodynamic response and the effects of gender and age on target detection and novelty Processing. Group data demonstrated highly significant activation in all 34 specified regions of interest for target detection and all 24 specified regions of interest for Processing of novel stimuli. Neither age nor gender systematically influenced the results. These data are discussed within the context of a Model that proposes that the mammalian brain has evolved to adopt a strategy of engaging distributed neuronal systems when Processing salient stimuli despite the low probability that many of these brain regions are required for successful task performance. This process may be termed 'adaptive reflexive Processing.' The implications of these results for interpreting functional MRI studies are discussed.
Michael Hausenblas - One of the best experts on this subject based on the ideXlab platform.
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WISE - RaUL: RDFa user interface language - a data Processing Model for web applications
Web Information Systems Engineering – WISE 2010, 2010Co-Authors: Armin Haller, Jürgen Umbrich, Michael HausenblasAbstract:In this paper we introduce RaUL, the RDFa User Interface Language, a user interface markup ontology that is used to describe the structure of a web form as RDF statements. RaUL separates the markup of the control elements on a web form, the form Model, from the data Model that the form controls operate on. Form controls and the data Model are connected via a data binding mechanism. The form elements include references to an RDF graph defining the data Model. For the rendering of the instances of a RaUL Model on the client-side we propose ActiveRaUL, a processor that generates XHTML+RDFa elements for displaying the Model on the client.
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raul rdfa user interface language a data Processing Model for web applications
Web Information Systems Engineering, 2010Co-Authors: Armin Haller, Jürgen Umbrich, Michael HausenblasAbstract:In this paper we introduce RaUL, the RDFa User Interface Language, a user interface markup ontology that is used to describe the structure of a web form as RDF statements. RaUL separates the markup of the control elements on a web form, the form Model, from the data Model that the form controls operate on. Form controls and the data Model are connected via a data binding mechanism. The form elements include references to an RDF graph defining the data Model. For the rendering of the instances of a RaUL Model on the client-side we propose ActiveRaUL, a processor that generates XHTML+RDFa elements for displaying the Model on the client.
