• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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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.

• 수면정신생리
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• 제1권2호
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• pp.156-162
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• 1994

목 적 : 눈깜작임은 뇌에서 감각을 조절하는 기능과 관계된 개인의 인지능력과 성격에 따라 달라질 수 있다. 저자들은 이러한 성격이 눈깜작임과 증감뇌유발전위 등과 상호 어떠한 연관이 있는지를 연구하려고 하였다. 방법 : 44 명의 정상 대학생에게 증감뇌유발전위, 눈깜작임과 Zuckerman 의 감각추구척도와 Eysenck 성격설문지 동을 조사하여 그 상호관계를 분석하였다. 결 과 : 증감뇌유발전위에서 빛의 강도가 증가할수록 눈깜작임이 증가하였다. 대부분의 성격척도에서 눈깜작임과 유의한 역상관관계를 보였으며 신경증척도만이 정상관관계를 보였다. 눈깜작임과 증감유발전위의 기울기와 가장 강한 정상관관계를 보인 뇌의 부위는 우측 후 측두엽이었다. 결 론 : 감각추구경향이 강할수록 눈을 적게 깜작이었다. 유발전위보다 눈깜작임이 성격과 더 높은 상관관계를 보여 눈깜작임이 더 일차적인 필터 역할을 한다고 생각된다. 그리고 우측 후 측두엽은 여러 뇌 부위 중 시각을 조절하는데 가장 중요한 역할을 하는 것으로 유추된다.

• 한국산업융합학회 논문집
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• 제6권4호
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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.