The Experts below are selected from a list of 42297 Experts worldwide ranked by ideXlab platform
J. Adams - One of the best experts on this subject based on the ideXlab platform.
-
Panel: Product Assurance
Proceedings 13th Annual Computer Security Applications Conference, 1Co-Authors: J. AdamsAbstract:We know how to put functionality into Product. However, significant concerns remain as we try to answer the following questions: How do we know how much assurance we obtain as a result of adding functionality to a system? How much assurance is enough? What is assurance and how can it be measured? What are some new techniques for obtaining and measuring assurance? Can process replace evaluation? Can process measurement tell us anything about assurance? Is evaluation sufficient, necessary, or cost-effective? These concerns are magnified by disagreements over what constitutes assurance and how can it be identified and measured. The Panel on Assurance presents a wide range of perspectives on these questions. Panelists will present innovative approaches to identifying, obtaining, and measuring assurance. They report on new developments in the field and new techniques for defining and solving the most perplexing information security questions of the day.
J Hossenlopp - One of the best experts on this subject based on the ideXlab platform.
-
using the internet for descriptive sensory analysis formation training and follow up of a taste test Panel over the web
Journal of Sensory Studies, 2006Co-Authors: H Nogueiraterrones, C Tinet, Corinne Curt, Gilles Trystram, J HossenloppAbstract:A remote descriptive analysis Panel was formed and trained over the Internet. This article outlines the steps involved in this method: (1) creation of Web sensory sessions; (2) recruitment and selection of assessors; (3) generation of descriptors; (4) training using generated descriptors; and (5) check-up sessions. A reference Panel was formed and trained conventionally: it aimed, on the one hand, at providing the necessary reference points for training the Internet Panel and on the other hand, at validating the proposed method by the comparison of the results assessed on the same Product by both Panels. We applied our methodology to a dry sausage. Sixteen assessors carried out the complete training on 10 descriptors during 10 sessions. The results of the analysis of variance with (Panel–Product) interactions considering each attribute separately showed that Product classification is the same for the two Panels on the basis of seven descriptors out of 10. The results concerned with the performance of individual assessors showed that training duration seemed to be the most important feature in determining the level of performance of assessors remotely trained over the Internet.
Gyuhae Park - One of the best experts on this subject based on the ideXlab platform.
-
Automated crack detection on pressed Panel Products using image processing (Conference Presentation)
Smart Structures and NDE for Industry 4.0, 2018Co-Authors: Yeseul Kong, Hoyeon Moon, Hwee Kwon Jung, Gyuhae ParkAbstract:Crack detection during the manufacturing process of pressed Panel Products is an important aspect of quality management. Tradition approaches for crack detection of those Products are subjective and expensive because they are usually performed by experienced human inspectors. Therefore, the development and implementation of an automated and accurate inspection system is required for the press-forming process. In this study, we performed automated crack detection by integrating two image processing techniques with a multi-view-camera system. The first technique is based on evaluation of the edge lines which are extracted from a percolated object image. This technique could detect a crack without a reference image. Almost all of the edge lines of the Panels show smooth variances of angle on the edges. When a crack occurs in Panel Products, an angle higher than 140 degree by the edge lines would appear, which could be used as an indication of crack presence. Another technique applies local image amplitude mapping (LAM) and compares a test image with the reference image. LAM is used to alleviate the problem associated with that the captured images during the manufacturing stage are not aligned against the reference image. The features created by LAM subtraction between the reference and test image are used to identify a crack. Before crack detection, multi-view images of a Panel Product are captured using multiple cameras. Afterwards, cracks are detected using both crack detection techniques based on image processing. The proposed technique is demonstrated in an actual manufacturing lines with real Panel Products. Experimental results clearly show that proposed technique could effectively improve the detection rate and speed for pressed Panel Products.
-
Camera image processing for automated crack detection of pressed Panel Products (Conference Presentation)
Proceedings of SPIE, 2017Co-Authors: Hoyeon Moon, Hwee Kwon Jung, Gyuhae ParkAbstract:Crack detection on pressed Panel during the press forming process is an important step to ensure the quality of Panel Products. Traditional crack detection technique has been generally performed by experienced human inspectors, which is subjective and expensive. Therefore, the implementation of automated and accurate crack detection is necessary during the press forming process. In this study, we performed an optimal camera positioning and automated crack detection using two image processing techniques with multi-view-camera system. The first technique is based on evaluation of the Panel edge lines which are extracted from a percolated object image. This technique does not require a reference image for crack detection. Another technique is based on the comparison between a reference and a test image using the local image amplitude mapping. Before crack detection, multi-view images of a Panel Product are captured using multiple cameras and 3D shape information is reconstructed. Optimal camera positions are then determined based on the shape information. Afterwards, cracks are automatically detected using two crack detection techniques based on image processing. In order to demonstrate the capability of the proposed technique, experiments were performed in the laboratory and the actual manufacturing lines with the real Panel Products. Experimental results show that proposed techniques could effectively improve the crack detection rate with improved speed.
-
Camera image processing for automated crack detection of pressed Panel Products (Conference Presentation)
Proceedings of SPIE, 2017Co-Authors: Hoyeon Moon, Hwee Kwon Jung, Gyuhae ParkAbstract:Crack detection on pressed Panel during the press forming process is an important step to ensure the quality of Panel Products. Traditional crack detection technique has been generally performed by experienced human inspectors, which is subjective and expensive. Therefore, the implementation of automated and accurate crack detection is necessary during the press forming process. In this study, we performed an optimal camera positioning and automated crack detection using two image processing techniques with multi-view-camera system. The first technique is based on evaluation of the Panel edge lines which are extracted from a percolated object image. This technique does not require a reference image for crack detection. Another technique is based on the comparison between a reference and a test image using the local image amplitude mapping. Before crack detection, multi-view images of a Panel Product are captured using multiple cameras and 3D shape information is reconstructed. Optimal camera positions are then determined based on the shape information. Afterwards, cracks are automatically detected using two crack detection techniques based on image processing. In order to demonstrate the capability of the proposed technique, experiments were performed in the laboratory and the actual manufacturing lines with the real Panel Products. Experimental results show that proposed techniques could effectively improve the crack detection rate with improved speed.
P. Blanchet - One of the best experts on this subject based on the ideXlab platform.
-
Production and properties of wood-welded Panels made from two Canadian hardwoods
Wood Science and Technology, 2013Co-Authors: B. Belleville, T. Stevanovic, A. Cloutier, A. Pizzi, A. Salenikovich, P. BlanchetAbstract:This study examines the suitability of wood welding technology for producing composite Panels for furniture applications with two Canadian hardwood species, sugar maple (Acer saccharum) and yellow birch (Betula alleghaniensis). For each species, twelve 30 x 225 x 300 mm(3) Panels were manufactured using a Panelling machine specifically designed for rotational wood-dowel welding with optimized parameters obtained from a previous study. Six edge-glued Panels of the same size were manufactured from each species using a non-structural polyvinyl acetate adhesive and tested for comparative purposes. The experimental programme included three-point bending at 255-mm span and visual inspection of the Panels to assess performance at standard moisture conditions and after an ageing cycle with variable relative humidity. Average breaking load of 1.79 and 1.70 kN was obtained at standard moisture conditions for welded Panels of yellow birch and sugar maple, respectively. Fractures consistently occurred in the dowel's cross section, whereas no slippage was observed along the welded interface. Delamination between wood slats occurred after the ageing cycle, but did not affect the bending properties. Results confirm the suitability of wood-dowel welding for producing furniture Panelling with Canadian hardwood species. Further research is needed to design Panels with a more efficient position and use of welded dowels and with Panel Product properties that are comparable or superior to those of glued counterparts.
Annette L. Cowie - One of the best experts on this subject based on the ideXlab platform.
-
Carbon dynamics of paper, engineered wood Products and bamboo in landfills: evidence from reactor studies
Carbon Balance and Management, 2018Co-Authors: Fabiano A. Ximenes, Amrit Kathuria, Morton A. Barlaz, Annette L. CowieAbstract:Background There has been growing interest in the development of waste-specific decay factors for estimation of greenhouse gas emissions from landfills in national greenhouse gas inventories. Although engineered wood Products (EWPs) and paper represent a substantial component of the solid waste stream, there is limited information available on their carbon dynamics in landfills. The objective of this study was to determine the extent of carbon loss for EWPs and paper Products commonly used in Australia. Experiments were conducted under laboratory conditions designed to simulate optimal anaerobic biodegradation in a landfill. Results Methane generation rates over incubations of 307–677 days ranged from zero for medium-density fibreboard (MDF) to 326 mL CH_4 g^−1 for copy paper. Carbon losses for particleboard and MDF ranged from 0.7 to 1.6%, consistent with previous estimates. Carbon loss for the exterior wall Panel Product (2.8%) was consistent with the expected value for blackbutt, the main wood type used in its manufacture. Carbon loss for bamboo (11.4%) was significantly higher than for EWPs. Carbon losses for the three types of copy paper tested ranged from 72.4 to 82.5%, and were significantly higher than for cardboard (27.3–43.8%). Cardboard that had been buried in landfill for 20 years had a carbon loss of 27.3%—indicating that environmental conditions in the landfill did not support complete decomposition of the available carbon. Thus carbon losses for paper Products as measured in bioreactors clearly overestimate those in actual landfills. Carbon losses, as estimated by gas generation, were on average lower than those derived by mass balance. The low carbon loss for particleboard and MDF is consistent with carbon loss for Australian wood types described in previous studies. A factor for carbon loss for combined EWPs and wood in landfills in Australia of 1.3% and for paper of 48% is proposed. Conclusions The new suggested combined decay factor for wood and EWPs represents a significant reduction from the current factor used in the Australian greenhouse gas inventory; whereas the suggested decay factor for paper is similar to the current decay factor. Our results improve current understanding of the carbon dynamics of harvested wood Products, and allow more refined estimates of methane emissions from landfills.
