• International conference on construction engineering and project management
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• 2013.01a
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• pp.279-286
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• 2013

This paper introduces a new method for identification of building energy performance problems. The presented method is based on automated analysis and visualization of deviations between actual and expected energy performance of the building using EPAR (Energy Performance Augmented Reality) models. For generating EPAR models, during building inspections, energy auditors collect a large number of digital and thermal imagery using a consumer-level single thermal camera that has a built-in digital lens. Based on a pipeline of image-based 3D reconstruction algorithms built on GPU and multi-core CPU architecture, 3D geometrical and thermal point cloud models of the building under inspection are automatically generated and integrated. Then, the resulting actual 3D spatio-thermal model and the expected energy performance model simulated using computational fluid dynamics (CFD) analysis are superimposed within an augmented reality environment. Based on the resulting EPAR models which jointly visualize the actual and expected energy performance of the building under inspection, two new algorithms are introduced for quick and reliable identification of potential performance problems: 1) 3D thermal mesh modeling using k-d trees and nearest neighbor searching to automate calculation of temperature deviations; and 2) automated visualization of performance deviations using a metaphor based on traffic light colors. The proposed EPAR v2.0 modeling method is validated on several interior locations of a residential building and an instructional facility. Our empirical observations show that the automated energy performance analysis using EPAR models enables performance deviations to be rapidly and accurately identified. The visualization of performance deviations in 3D enables auditors to easily identify potential building performance problems. Rather than manually analyzing thermal imagery, auditors can focus on other important tasks such as evaluating possible remedial alternatives.

• Sleep Medicine and Psychophysiology
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• v.1 no.2
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• pp.156-162
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• 1994

Objectives: Eyeblinking varied depending on individual cognitive abilities or personality traits thought to related to brain mechanisms of sensory modulation. This study explored whether personality traits are related to the rate of eye blinks and how eyeblink and evoked potential augumenting-reducing(EPAR) interact Methods: Forty four students were studied with EPAR topography to explore how eyeblinks, personality and EPAR interact The Zuckerman Sensation Seeking Scale(SSS) and Eysenck Personality Questionnaire(EPQ) were used as personality measured by a stimulus response program during EP study. Results: Rate of blink increased as intensity of light increased. The General(GEN), Thrill and Adventure Seeking(TAS), Experience Seeking(ES) and Disinhibition(DS) subscales in SSS and Extraversion-Introversion(E) subscale in EPQ showed significant negative correlations with number of eyeblinks in the hightest intensity of light, whereas Neuroticism(N) subscales in EPQ showed a positive correlation. Correlation between number of eyeblinks with the brightest light and EPAR slope varied topographically. The strongest positive correlation was noted in right posterior temporal area. Conclusion: High sensation seekers blinked significantly fewer times than lower sensation seeker did. Higher personality correlations with eyeblink than with EP may imply that the eyeblink works as a primary filter since it is more directly related to central mechanisms of sensory modulation than EP. The right posterior temporal area may play an important role in modulation of visual stimuli.

• Journal of the Korean Society of Industry Convergence
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• v.6 no.4
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• pp.325-331
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• 2003

This paper described the characteristics of the exhaust pressure and proposed the assistant device for detection of misfired cylinder. Misfire, one of abnormal combustion, affects a bad influence of the 3-way catalyst and emits unburned hydrocarbon. Therefore, to prevent these unusual phenomena and eliminate the factor of the environmental pollution, early detection and correction of the misfired cylinder play a very important role. The configuration of assistant device was changed by length and diameter of pipe and analyzed with the install position on the exhaust system. Experimental results showed that the configuration of assistant device is not affected more than length and diameter of pipe and the assistant device is be effective in the detection of misfired cylinder on the gasoline engine.