MICROBUBBLE DISTILLATION OF BIO-OIL MODEL COMPONENTS
Published In: 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN BIO-INFORMATICS, BIO-TECHNOLOGY AND ENVIRONMENTAL ENGINEERING
Author(s): ATHEER AL-YAQOOBI , DAVID HOGG , WILLIAM B. ZIMMERMAN
Abstract: Bio-oil has been recognized as a promising renewable energy resource and important feedstock for valuable chemicals. Unfortunately, bio-oil needs upgrading before it can be used as fuel or sources of downstream chemicals. This is due to the complex properties of the bio oil and variable compositions encountered over time. The fractionation of bio oil by traditional distillation quit often leads to form a solid residue of coke and gums consequently formed from polymerization of the mixture components. The use of microbubble distillation is a novel approach used for the distillation of bio oils to avoid the decomposition characteristics observed using traditional methods. In this study a mixture of water, acetic acid, cyclohexanone and salicylaldehyde was chosen as the representative of bio-oil components. The separation extent of water and acetic acid from mixture was observed during the experiment, while varying liquid level and sparge air temperature, showing the effect on the perform
- Publication Date: 27-May-2015
- DOI: 10.15224/978-1-63248-060-6-06
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BIO-INSPIRED PEDESTRIAN DETECTION AND TRACKING
Published In: 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN BIO-INFORMATICS, BIO-TECHNOLOGY AND ENVIRONMENTAL ENGINEERING
Author(s): JOAO M.F. RODRIGUES , J.M.H. DU BUF , MIGUEL FARRAJOTA
Abstract: Pedestrian detection and tracking remains a popular issue in computer vision, spawning many applications in robotics, surveillance and security, biometrics and human-computer interaction. In this paper we present a biological framework for detecting and tracking pedestrians by using a monocular moving camera. This framework is based on visual cortex cells, namely complex and end-stopped cells, the last being used to extract keypoints. By employing a modified HOG descriptor combined with the responses of complex cells and a linear SVM, pedestrians can be detected. By combining the above information with keypoints, motion information and tracked features, persons can be tracked in complex scenarios where partial occlusions exist.
- Publication Date: 27-May-2015
- DOI: 10.15224/978-1-63248-060-6-07
- Views: 0
- Downloads: 0