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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Li, Lei Xiong, Yonghua Guo, Shufan Jiang, Keyuan Tang, Yongbing School of Automation China University of Geosciences Wuhan430074 China School of Information Science and Engineering Central South University Changsha410083 China Department of Computer Information Technology and Graphics Purdue University Calumet Hammond46323 United States

ISBN: (纸本)9783319271361

Commercially available mobile devices with various kinds of hardware and software platforms have resulted in a huge amount of mobile services. This has a new challenge in designing multiple services that are compatible with heterogeneous devices and operating systems (OSes). This paper presents a method of multi-services mobile cloud computing (MSMCC) for mobile device, which regards OS as a service to improve user experience. A multi-services pre-boot firmware (MSPF) is designed to stream multi-OS images and multi-application images to the mobile devices over wireless network. After that, we use the MSMCC method to run on the S3C6410 board equipped with MSPF, results illustrated that MSPF is able to support remote boot and streaming execution of multi-services with stable performance © Springer International Publishing Switzerland 2015.

关键词： Firmware

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On the optimization of tolerance synthesis with an ontology-based approach

On the optimization of tolerance synthesis with an ontology-...

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Chinese Automation Congress (CAC)

作者： Hongcheng Lu Meifa Huang Yanru Zhong Congwen Zheng Key Laboratory of Intelligent Processing of Computer Image and Graphics Guilin University of Electronic Technology Guilin PR China

ISBN: (纸本)9781467371902

In general, mechanical designers have to manually select assembly tolerance types and values in product design. To reduce the uncertainty in manufacturing process, solve the problem of effectively sharing and smoothly exchange tolerance information among heterogeneous CAD system. On the optimization of tolerance synthesis with an ontology-based approach is proposed, automatically generated the tolerance type, variations of tolerance, cost function and tolerance value. Firstly, ontology contains abundant semantic knowledge and semantic structure. Secondly, the Web Ontology Language (OWL) is used to define the concepts of tolerance synthesis, and Semantic Web Rule Language (SWRL) is used to define the constraint conditions and distribute experience. Thirdly, based on the genetic algorithm, a tolerance values optimization model is established with manufacturing cost functions and assembly stack-up constraint. Finally, the effectiveness of the proposed approach is illustrated by using a practical example of the gear case.

关键词： Assembly Cost function Feature extraction Ontologies Solid modeling

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Students perceptions of an alternative testing method: Hints as an option for exam questions

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computers in Education Journal 2015年第1期6卷 49-54页

作者： Rogers, Christian Schnepp, Jerry Clyde Computer Graphics Technology Indiana University Purdue University Indianapolis United States College of Technology Architecture and Applied Engineering Bowling Green State University United States

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Fully automatic optical motion tracking using an inverse kinematics approach

Fully automatic optical motion tracking using an inverse kin...

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IEEE-RAS International Conference on Humanoid Robots

作者： Jonathan Maycock Tobias Rohlig Matthias Schroder Mario Botsch Helge Ritter Neuroinformatics Group in the Faculty of Technology Bielefeld University Germany Computer Graphics & Geometry Processing group in the Faculty of Technology Bielefeld University Germany

Optical motion tracking systems often require a lot of manual work to generate clean labeled trajectories. This can be a deterrent if the goal is the creation of large motion tracking datasets. Especially in the case of hand tracking, issues of occlusion (often self-occlusion by other fingers) make the post-processing task very difficult and time intensive. We introduce a fully automatic optical motion tracking method that utilizes a model based inverse kinematics approach. The Hungarian method is used to efficiently calculate associations between model markers and motion capture markers and we demonstrate an elegant solution to the problem of occlusions using a posture interpolation step.

关键词： Tracking Load modeling Kinematics Trajectory Adaptive optics Data models Principal component analysis

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A survey on music retrieval systems using microphone input

A survey on music retrieval systems using microphone input

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Annual International Workshop on DAtabases, TExts, Specifications and Objects, DATESO 2015

作者： Maršík, Ladislav Pokorný, Jaroslav Ilčík, Martin Dept. of Software Engineering Faculty of Mathematics and Physics Charles University Malostranské nám. 25 Prague Czech Republic Institute of Computer Graphics and Algorithms Vienna University of Technology Favoritenstraße 9-11 Vienna Austria Vienna1040 Austria

Interactive music retrieval systems using microphone input have become popular, with applications ranging from whistle queries to robust audio search engines capable of retrieving music from a short sample recorded in noisy environment. The availability for mobile devices brought them to millions of users. Underlying methods have promising results in the case that user provides a short recorded sample and seeks additional information about the piece. Now, the focus needs to be switched to areas where we are still unable to satisfy the user needs. Such a scenario can be the choice of a favorite music performance from the set of covers, or recordings of the same musical piece, e.g. in classical music. Various algorithms have been proposed for both basic retrieval and more advanced use cases. In this paper we provide a survey of the state-of-the-art methods for interactive music retrieval systems, from the perspective of specific user requirements.

关键词： Search engines

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A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images

A Novel Representation of Parts for Accurate 3D Object Detec...

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International Conference on computer Vision (ICCV)

作者： Alberto Crivellaro Mahdi Rad Yannick Verdie Kwang Moo Yi Pascal Fua Vincent Lepetit Computer Vision Laboratory École Polytechnique Fédérale de Lausanne (EPFL) Switzerland Institute for Computer Graphics and Vision Graz University of Technology Austria

ISBN: (纸本)9781467383929

We present a method that estimates in real-time and under challenging conditions the 3D pose of a known object. Our method relies only on grayscale images since depth cameras fail on metallic objects, it can handle poorly textured objects, and cluttered, changing environments, the pose it predicts degrades gracefully in presence of large occlusions. As a result, by contrast with the state-of-the-art, our method is suitable for practical Augmented Reality applications even in industrial environments. To be robust to occlusions, we first learn to detect some parts of the target object. Our key idea is to then predict the 3D pose of each part in the form of the 2D projections of a few control points. The advantages of this representation is three-fold: We can predict the 3D pose of the object even when only one part is visible, when several parts are visible, we can combine them easily to compute a better pose of the object, the 3D pose we obtain is usually very accurate, even when only few parts are visible.

关键词： Three-dimensional displays Cameras Robustness Training Object detection Augmented reality Image edge detection

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A novel resource management method using third party broker in mobile computing 4

A novel resource management method using third party broker ...

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4th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2015

作者： Xiong, Yong-Hua Li, Lei Jiang, Ke-Yuan Yu, Hong School of Automation China University of Geosciences Wuhan430074 China School of Information Science and Engineering Central South University Changsha410083 China Department of Computer Information Technology and Graphics Purdue University Calumet Hammond46323 United States School of Automation Huazhong University of Science and Technology Wuhan430074 China

During the last decade, with the massive growth of smart mobile devices (SMDs), mobile user experience has a dramatic perspective. Addressed to the problem of optimizing resource management in mobile computing, this paper proposes a novel resource management method using the Third Party Broker (TPB) which is designed to consist of four components as Manage Center (MC), Request Manager (RM), Connection Manager (CM), and Processor Manager (PM) to manage respectively the computing resources, user requests,network and services in mobile transparent computing (MTC). By the cooperation between different component, the TPB is able to support the mobile computation-intensive and resource-consuming tasks, and handle the users' requests fluctuation. Such a resource management method serves to effectively utilize local LAN resources to achieve computing tasks of single mobile client, and thus it extends the computing paradigm of MTC with the characteristic of local mobile device computing and remote server storage into that of local LAN computing as well as remote server storage. The proposed method is implemented and deployed in the testbed of MTC, and several experiments are carried out to demonstrate the validity and efficiency of the architecture. Experiment results show that the method is effective and stable in improving resource utilization of mobile computing. © 2015, Fuji technology Press Ltd. All rights reserved.

关键词： Mobile computing

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Automated multi-contrast brain pathological area extraction from 2D MR images

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Journal of Applied Research and technology 2015年第1期13卷 58-69页

作者： Dvořák, P. Bartušek, K. Kropatsch, W.G. Smékal, Z. Institute of Scientific Instruments of the ASCR V.v.i Academy if Sciences of the Czech Republic Brno Czech Republic Dept. of Telecommunications Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Faculty of Informatics Vienna University of Technology Vienna Austria

The aim of this work is to propose the fully automated pathological area extraction from multi-parametric 2D MR images of brain. The proposed method is based on multi-resolution symmetry analysis and automatic thresholding. The proposed algorithm first detects the presence of pathology and then starts its extraction. T2 images are used for the presence detection and the multi-contrast MRI is used for the extraction, concretely T2 and FLAIR images. The extraction is based on thresholding, where Otsu's algorithm is used for the automatic determination of the threshold. Since the method is based on symmetry, it works for both axial and coronal planes. In both these planes of healthy brain, the approximate left-right symmetry exists and it is used as the prior knowledge for searching the approximate pathology location. It is assumed that this area is not located symmetrically in both hemispheres, which is met in most cases. The detection algorithm was tested on 203 T2-weighted images and reached the true positive rate of 87.52% and true negative rate of 93.14%. The extraction algorithm was tested on 357 axial and 443 coronal real images from publicly available BRATS databases containing 3D volumes brain tumor patients. The results were evaluated by Dice Coefficient (axial: 0.85 ± 0.11, coronal 0.82 ± 0.18) and by Accuracy (axial: 0.96 ± 0.05, coronal 0.94 ± 0.09). © 2015 Universidad Nacional Autónoma de México.

关键词： Brain Pathology Brain Tumor MRI Multi-contrast MRI Symmetry Analysis

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Fast TLS Denoising Algorithm Using Grid Technique

Fast TLS Denoising Algorithm Using Grid Technique

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International Conference on Virtual Reality and Visualization (ICVRV)

作者： Yimin Lv Qing Xu Yuejun Guo Huixuan Li Mateu Sbert School of Computer Science and Technology Tianjin University Tianjin China Graphics and Imaging Laboratory Universitat de Girona Girona Spain

ISBN: (纸本)9781467376747

The Total Least Squares (TLS) is a denoising approach to take into the small system perturbations, and to restore the noisy images through a linear combination of the image patches. It can handle not only additive noise but also mixture noise. However, it suffers from high computational complexity and low efficiency. To this end, this paper proposes a grid-based denoising algorithm to speed up the TLS algorithm. Firstly, we utilize a mean value method instead of the bilateral filter parameters used in original algorithm to calculate the weight matrix, and then a strategy of making calculation every half patch is applied. It is proved by experiments that the proposed image denoising algorithm is capable of increasing the calculation speed by two orders of magnitude.

关键词： Noise reduction Algorithm design and analysis Image denoising Noise measurement Computational modeling Image restoration Additive noise

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Thermal simulation of heterogeneous GaN/ InP/silicon 3DIC stacks

Thermal simulation of heterogeneous GaN/ InP/silicon 3DIC st...

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International 3D Systems Integration Conference, 3DIC 2015

作者： Harris, T. Robert Wyers, Eric J. Lee, Wang Graham, Samuel Pavlidis, Georges Franzon, Paul D. Davis, W. Rhett Department of Electrical and Computer Engineering North Carolina State University RaleighNC United States Department of Engineering and Computer Science Tarleton State University StephenvilleTX United States Calibre Design Solutions Mentor Graphics Corporation FremontCA United States Department of Mechanical Engineering Georgia Institute of Technology AtlantaGA United States

ISBN: (纸本)9781467393850

Integration of materials such as GaN, InP, SiGe, and Si is a natural extension of the 3D-IC perspective and provides a unique solution for high performance circuits. In this approach, application of a component is no longer dependent on semiconductor material selection. In this paper, preliminary results are presented which examine the thermal performance of the technology. A thermal analysis prototype solution in Mentor graphics™ Calibre® provides surface heat maps based on IC layout, material property, and geometric configuration files. Chiplets are connected by heterogeneous interconnect (HIC). Differences in thermal performance of GaN and InP chiplets are explored by varying the number of HICs. Two methods for building up the model of a test chip are compared. One method uses custom scripts to place discrete blocks in the model to represent HICs, while the other uses thermal material properties extracted from the layout. Measurements presented confirm simulated results. © 2015 IEEE.

关键词： Gallium nitride

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