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Research of thermal processes in industrial premises with energy-saving technologies of heating

Diagnostyka 2017年第2期18卷 43-49页

作者： Gumen, Olena Spodyniuk, Nadiia Ulewicz, Malgorzata Martyn, Yevgen National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Department of Descriptive Geometry Engineering and Computer Graphics Peremohy pr. 37 Kyiv03056 Ukraine Lviv Polytechnic National University Department of Heat and Gas Supply and Ventilation St. Bandery 12 Lviv - 1379013 Ukraine Czestochowa University of Technology Department of General Building Engineering and Building Physics Akademicka 3 Czestochowa42-201 Poland Lviv State University of Life Safety Department of Project Management Information Technologies and Telecommunications Kleparivska 35 Lviv - 0779007 Ukraine

The article presents the results of experimental research of thermal processes in industrial premises with energy-saving technologies of heating and their analysis by geometric modeling tools and graphic computer technologies. The effectiveness of using the method of forced feeding of air heated by infrared emitter involving compromise graphical optimization was analyzed by geometric way.

关键词： Geometry

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Engineering course specially designed to face retention issue 45

Engineering course specially designed to face retention issu...

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45th Annual Conference of the European Society for Engineering Education, SEFI 2017

作者： Brito, C.R. Ciampi, M.M. Vasconcelos, R.M. Amaral, L.A. Santos, H.D. Barros, V.A. Science and Education Research Council - COPEC São Paulo Brazil World Council on Systems Engineering and Information Technology IEEE Education Society São Paulo Brazil Pedagogical Council School of Engineering University of Minho Guimarães Portugal Computer Graphics Center - CCG Information Systems Department University of Minho Guimarães Portugal Science and Education Research Council - COPEC Information Systems Department University of Minho Jataí Portugal

ISBN: (纸本)9789899887572

Many engineering colleges have been facing the retention problem in engineering programs due to difficulties and lack of knowledge about what really means being an engineer. It is mainly due to the fact that the first 3 years are particularly intense and hard. A possible way to overcome this period is to implement a new kind of course more attractive and dynamic, which is the idea of COPEC's engineering education research team, to embed a course with a more interesting activity for students in the first year. It is a short-term workshop in order to show the students the possibilities of performing as engineers in a global environment - a project developed for a private university in order to augment the retention rate in their engineering courses.

关键词： Curricula

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UAV-Based Autonomous Image Acquisition with Multi-view Stereo Quality Assurance by Confidence Prediction

UAV-Based Autonomous Image Acquisition with Multi-view Stere...

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IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Christian Mostegel Markus Rumpler Friedrich Fraundorfer Horst Bischof Institute for Computer Graphics and Vision Graz University of Technology

In this paper we present an autonomous system for acquiring close-range high-resolution images that maximize the quality of a later-on 3D reconstruction with respect to coverage, ground resolution and 3D uncertainty. In contrast to previous work, our system uses the already acquired images to predict the confidence in the output of a dense multi-view stereo approach without executing it. This confidence encodes the likelihood of a successful reconstruction with respect to the observed scene and potential camera constellations. Our prediction module runs in real-time and can be trained without any externally recorded ground truth. We use the confidence prediction for on-site quality assurance and for planning further views that are tailored for a specific multi-view stereo approach with respect to the given scene. We demonstrate the capabilities of our approach with an autonomous Unmanned Aerial Vehicle (UAV) in a challenging outdoor scenario.

关键词： Cameras Three-dimensional displays Training data Planning Training Uncertainty Image reconstruction

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Learning Joint Demosaicing and Denoising Based on Sequential Energy Minimization

Learning Joint Demosaicing and Denoising Based on Sequential...

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IEEE International Conference on Computational Photography

作者： Teresa Klatzer Kerstin Hammernik Patrick Knobelreiter Thomas Pock Institute for Computer Graphics and Vision Graz University of Technology

ISBN: (纸本)9781467386241

Demosaicing is an important first step for color image acquisition. For practical reasons, demosaicing algorithms have to be both efficient and yield high quality results in the presence of noise. The demosaicing problem poses several challenges, e.g. zippering and false color artifacts as well as edge blur. In this work, we introduce a novel learning based method that can overcome these challenges. We formulate demosaicing as an image restoration problem and propose to learn efficient regularization inspired by a variational energy minimization framework that can be trained for different sensor layouts. Our algorithm performs joint demosaicing and denoising in close relation to the real physical mosaicing process on a camera sensor. This is achieved by learning a sequence of energy minimization problems composed of a set of RGB filters and corresponding activation functions. We evaluate our algorithm on the Microsoft Demosaicing data set in terms of peak signal to noise ratio (PSNR) and structured similarity index (SSIM). Our algorithm is highly efficient both in image quality and run time. We achieve an improvement of up to 2.6 dB over recent state-of-the-art algorithms.

关键词： demosaicing Noise reduction ENERGY MINIMISATION Peak signal-to-noise ratio image restoration technique algorithms

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Using Self-Contradiction to Learn Confidence Measures in Stereo Vision

Using Self-Contradiction to Learn Confidence Measures in Ste...

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IEEE Conference on computer Vision and Pattern Recognition

作者： Christian Mostegel Markus Rumpler Friedrich Fraundorfer Horst Bischof Institute for Computer Graphics and Vision Graz University of Technology

ISBN: (纸本)9781467388528

Learned confidence measures gain increasing importance for outlier removal and quality improvement in stereo vision. However, acquiring the necessary training data is typically a tedious and time consuming task that involves manual interaction, active sensing devices and/or synthetic scenes. To overcome this problem, we propose a new, flexible, and scalable way for generating training data that only requires a set of stereo images as input. The key idea of our approach is to use different view points for reasoning about contradictions and consistencies between multiple depth maps generated with the same stereo algorithm. This enables us to generate a huge amount of training data in a fully automated manner. Among other experiments, we demonstrate the potential of our approach by boosting the performance of three learned confidence measures on the KITTI2012 dataset by simply training them on a vast amount of automatically generated training data rather than a limited amount of laser ground truth data.

关键词： Stereoviews confidence Training data Quality Improvement Reasoning

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Improving the failure understanding in embedded systems through interactive visual support: An evaluation study 30

Improving the failure understanding in embedded systems thro...

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30th International BCS Human computer Interaction Conference, HCI 2016

作者： AlTarawneh, Ragaad Humayoun, Shah Rukh Ebert, Achim Liggesmeyer, Peter Information Technology Department Mutah University Jordan Computer Graphics and HCI Group University of Kaiserslautern Germany Software Engineering: Dependability Group University of Kaiserslautern Germany

Effectively analyzing failure mechanisms is critical for ensuring safety and reliability aspects in embedded systems. This requires close collaborations between the system engineers who design the system and the safety experts who analyze the failures. To support this process, we present an interactive visual environment, called ESSAVis++, that helps in extracting the required safety information about the failure mechanisms in the underlying embedded system. In this paper, we focus mainly on the conducted user evaluation study to compare between ESSAVis++ and ESSaRel (a tool used in industry) in terms of accuracy, efficiency, and user acceptance. The goal was to determine the suitability and effectiveness of a common interactive visual environment that would be used by the system engineers and safety experts during the safety analysis process in embedded systems. Results indicate an increase in participants’ efficiency and accuracy levels using the ESSAVis++ platform, due to the visual support and provided interaction options. We also observed a high acceptance rate among the participants towards ESSAVis++, mainly due to its intuitive visualizations. © AlTarawneh et al.

关键词： Visualization

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From local to global random regression forests: Exploring anatomical landmark localization

From local to global random regression forests: Exploring an...

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Lecture Notes in computer Science

作者： Štern, Darko Ebner, Thomas Urschler, Martin Ludwig Boltzmann Institute for Clinical Forensic Imaging Graz Austria Institute for Computer Graphics and Vision Graz University of Technology Graz Austria BioTechMed-Graz Graz Austria

ISBN: (纸本)9783319467221

State of the art anatomical landmark localization algorithms pair local Random Forest (RF) detection with disambiguation of locally similar structures by including high level knowledge about relative landmark locations. In this work we pursue the question,how much high-level knowledge is needed in addition to a single landmark localization RF to implicitly model the global configuration of multiple,potentially ambiguous landmarks. We further propose a novel RF localization algorithm that distinguishes locally similar structures by automatically identifying them,exploring the back-projection of the response from accurate local RF predictions. In our experiments we show that this approach achieves competitive results in single and multi-landmark localization when applied to 2D hand radiographic and 3D teethMRI data sets. Additionally,when combined with a simple Markov Random Field model,we are able to outperform state of the art methods. © Springer International Publishing AG 2016.

关键词： Markov processes

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Automated age estimation from hand MRI volumes using deep learning

Automated age estimation from hand MRI volumes using deep le...

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Lecture Notes in computer Science

作者： Štern, Darko Payer, Christian Lepetit, Vincent Urschler, Martin Ludwig Boltzmann Institute for Clinical Forensic Imaging Graz Austria Institute for Computer Graphics and Vision Graz University of Technology Graz Austria BioTechMed-Graz Graz Austria

ISBN: (纸本)9783319467221

Biological age (BA) estimation from radiologic data is an important topic in clinical medicine,e.g. in determining endocrinological diseases or planning paediatric orthopaedic surgeries,while in legal medicine it is employed to approximate chronological age. In this work,we propose the use of deep convolutional neural networks (DCNN) for automatic BA estimation from hand MRI volumes,inspired by the way radiologists visually perform age estimation using established staging schemes that follow physical maturation. In our results we outperform the state of the art automatic BA estimation method,achieving a mean error between estimated and ground truth BA of 0.36 ± 0.30 years,which is in line with radiologists doing visual BA estimation. © Springer International Publishing AG 2016.

关键词： Pediatrics

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Regularized 3D Modeling from Noisy Building Reconstructions

Regularized 3D Modeling from Noisy Building Reconstructions

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International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)

作者： Thomas Holzmann Friedrich Fraundorfer Horst Bischof Institute for Computer Graphics and Vision Graz University of Technology Austria

ISBN: (纸本)9781509054084

In this paper, we present a method for regularizing noisy 3D reconstructions, which is especially well suited for scenes containing planar structures like buildings. At horizontal structures, the input model is divided into slices and for each slice, an inside/outside labeling is computed. With the outlines of each slice labeling, we create an irregularly shaped volumetric cell decomposition of the whole scene. Then, an optimized inside/outside labeling of these cells is computed by solving an energy minimization problem. For the cell labeling optimization we introduce a novel smoothness term, where lines in the images are used to improve the regularization result. We show that our approach can take arbitrary dense meshed point clouds as input and delivers well regularized building models, which can be textured afterwards.

关键词： Three-dimensional displays Labeling Image reconstruction Computational modeling Buildings Solid modeling Cameras

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computer-aided implant design for the restoration of cranial defects

arXiv

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arXiv 2017年

作者： Chen, Xiaojun Xu, Lu Li, Xing Egger, Jan Institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China Faculty of Computer Science and Biomedical Engineering Institute for Computer Graphics and Vision Graz University of Technology Graz Austria BioTechMed-Graz Graz Austria

Patient-specific cranial implants are important and necessary in the surgery of cranial defect restoration. However, traditional methods of manual design of cranial implants are complicated and time-consuming. Our purpose is to develop a novel software named EasyCrania to design the cranial implants conveniently and efficiently. The process can be divided into five steps, which are mirroring model, clipping surface, surface fitting, the generation of the initial implant and the generation of the final implant. The main concept of our method is to use the geometry information of the mirrored model as the base to generate the final implant. The comparative studies demonstrated that the EasyCrania can improve the efficiency of cranial implant design significantly. And, the intra- and inter-rater reliability of the software were stable, which were 87.07 ± 1.6% and 87.73 ± 1.4% respectively. Copyright © 2017, The Authors. All rights reserved.

关键词： Restoration

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