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9th International Conference on Parallel and Distributed systems, ICPADS 2002

作者： Cao, Jiannong Feng, Xinyu Lu, Jian Chan, Henry Das, Sajal K. Internet Computing and E-Commerce Lab. Dept. of Computing Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong State Key Laboratory for Novel Software Technology Dept. of Computer Science Nanjing University Nanjing China Dept. of Computer Science and Engineering Univ. of Texas at Arlington ArlingtonTX76019 United States

ISBN: (纸本)0769517609

Two of the fundamental issues in message passing between mobile agents are tracking the migration of the target agent and delivering messages to it. In order to provide reliable message delivery, protocols are needed to overcome message loss caused by asynchronous operations of agent migration and message forwarding. In this paper, two message forwarding approaches, namely push and pull, are explored to design adaptive and reliable message delivery protocols. The pros and cons of these two approaches are evaluated, both qualitatively and quantitatively. The comparative performance evaluation is in terms of network traffic and delay in message processing. We also propose improvements to the pull approach to reduce network traffic and the message delay. We conclude that with different communication and migration patterns and requirements of real-time message processing, specific applications can select different message delivery approaches to achieve the desired level of performance and flexibility. © 2002 IEEE.

关键词： Target tracking

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L-UCON: Towards layered access control with UCON

L-UCON: Towards layered access control with UCON

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7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009

作者： Hu, Hao Li, Hao Feng, Dengguo Dept. of Electronic Engineering and Information Science University of Science and Technology of China Hefei 230027 China State Key Lab. of Information Security Institute of Software Chinese Academy of Sciences Beijing 100190 China National Engineering Research Center for Information Security Beijing 100190 China

ISBN: (纸本)9780769538235

Traditional access control solutions suffer from difficulties in access rights authorization and usage policy enforcement, especially in highly distributed environments. The layered nature of common digital content should also be exploited to efficiently provide the user with choices over digital content layers. This paper presents a layered access control architecture L-UCON based on usage control model UCON and trusted computing. We are motivated to design LUCON as a general access solution by binding policies to usage-controlled digital content. Moreover, LUCON is a negotiable solution caring about both the user's and the owner's benefits. Test results show that performance of L-UCON is acceptable. © 2009 IEEE.

关键词： Authorization

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HPDedup: A Hybrid prioritized data deduplication mechanism for primary storage in the cloud 33

HPDedup: A Hybrid prioritized data deduplication mechanism f...

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33rd International Conference on Massive Storage systems and Technology, MSST 2017

作者： Wu, Huijun Wang, Chen Fu, Yinjin Sakr, Sherif Zhu, Liming Lux, Kai Data CSIRO University of New South Wales Australia PLA University of Science and Technology China Science and Technology on Parallel and Distributed Laboratory State Key Laboratory of High Performance Computing State Key Lab. of High-end Server and Storage Technology Coll. of Computer Natl. Univ. of Def. Technol. China

Eliminating duplicate data in primary storage of clouds increases the cost-efficiency of cloud service providers as well as reduces the cost of users for using cloud services. Most existing primary deduplication techniques either use inline caching to exploit locality in primary workloads or use postprocessing deduplication running in system idle time to avoid the negative impact on I/O performance. However, neither of them works well in the cloud servers running multiple services or applications for the following two reasons: Firstly, the temporal locality of duplicate data writes may not exist in some primary storage workloads thus inline caching often fails to achieve good deduplication ratio. Secondly, the post-processing deduplication allows duplicate data to be written to disks, therefore does not provide the benefit of I/O deduplication and requires high peak storage capacity. This paper presents HPDedup, a Hybrid Prioritized data Deduplication mechanism to deal with the storage system shared by applications running in co-located virtual machines or containers by fusing an inline and a post-processing process for exact deduplication. In the inline deduplication phase, HPDedup gives a fingerprint caching mechanism that estimates the temporal locality of duplicates in data streams from different VMs or applications and prioritizes the cache allocation for these streams based on the estimation. HPDedup also allows different deduplication threshold for streams based on their spatial locality to reduce the disk fragmentation. The post-processing phase removes duplicates whose fingerprints are not able to be cached due to weak temporal locality from disks. The hybrid deduplication mechanism significantly reduces the amount of redundant data written to the storage system while maintaining inline data writing performance. Our experimental results show that HPDedup clearly outperforms the state-of-the-art primary storage deduplication techniques in terms of inline cac

关键词： Efficiency

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YOLO-MFE: towards more accurate object detection using multiscale feature extraction 6

YOLO-MFE: towards more accurate object detection using multi...

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6th International Conference on Intelligent Computing, Communication, and Devices, ICCD 2023

作者： Li, Hui Yin, Zhenyu Fan, Chao Wang, Xiaohui School of Computer Science and Technology Shenyang University of Chemical Technology Shenyang110142 China Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang China Liaoning Key Lab. of Domestic Industrial Control Platform Technology on Basic Hardware and Software Shenyang110168 China

ISBN: (数字)9781510666269

ISBN: (纸本)9781510666252

YOLOv3, as a multi-scale object detection algorithm, has a simple structure and can be detected quickly. However, during the training process, as the bottom convolutional layer contains more object detail, and the information in the underlying layer will be gradually faded out through continuous convolution. To address this, this paper adds a normalized attention mechanism behind the feature layers at different scales to further suppress insignificant features and enhance the discriminability and robustness of the features. Moreover, an improved pyramid structure is leveraged to fuse the detail of the shallow feature maps with the semantic feature information of the higher layers, aiming to improve the model performance. In particular, a YOLOv3 object detection algorithm named YOLO-MFE based on improved multi-scale feature extraction is proposed. Experimental results on the Pascal VOC dataset demonstrate that our algorithm outperforms the original YOLOv3 algorithm in terms of object detection accuracy, with a mAP on the Pascal VOC 2007 test set that is 1.66% higher. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Object detection

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A new approach for line recognition in large-size images using hough transform

Proceedings - International Conference on Pattern Recognitio...

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Proceedings - International Conference on Pattern Recognition 2002年第1期16卷 33-36页

作者： Song, Jiqiang Cai, Min Lyu, Michael R. Cai, Shijie Dept. Computer Science and Engineering Chinese University of Hong Kong Hong Kong Hong Kong State Key Lab. of Novel Software Technology Nanjing University Nanjing China

The application of Hough Transform (HT) has been limited to small-size images for a long time. For large-size images, the peak detection and the line verification become much more time-consuming. Many HT-based line detection methods are not able to detect line width. This paper proposes a new approach for detecting line segments using HT, which makes HT applicable to large-size images, especially for those applications whose line width is critical. Our approach applies a boundary recorder to eliminate redundant analyses, and employs an image-analysis-based line-verification method to overcome the difficulty of using a threshold to distinguish short lines from noise. It avoids the overlapping lines by removing the pixels of detected line segments, which is more robust than only clearing the N×N neighborhood. This approach could be easily extended to improved HT methods that perform the global accumulation. The experimental result shows that this approach is very time-efficient for large-size images. © 2002 IEEE.

关键词： Object recognition

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Framework of auto-adapting distributed object for mobile computing

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Journal of computer science and Technology 1999年第6期14卷 590-598页

作者： Wang, Chen Zhou, Ying Zhang, Defu State Key Lab. Novel Software T. Nanjing University Nanjing 210093 China Department of Information System National University of Singapore Singapore 119260 Singapore

The low bandwidth hinders the development of mobile computing. Besides providing relatively higher bandwidth on communication layer, constructing adaptable upper application is important. In this paper, a framework of auto-adapting distributed object is proposed, and evaluating methods of object performance are given as well. Distributed objects can adjust their behaviors automatically in the framework and keep in relatively good performance to serve requests of remote applications. It is an efficient way to implement the performance transparency for mobile clients.

关键词： Mobile computing

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Unleashing the performance potential of CPU-GPU platforms for the 3D atmospheric Euler solver

Unleashing the performance potential of CPU-GPU platforms fo...

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International Conference on Application Specific systems (ASAP), Architectures and Processors

作者： Haohuan Fu Jingheng Xu Lin Gan Chao Yang Wei Xue Wenlai Zhao Wen Shi Xinliang Wang Guangwen Yang National Supercomputing Center in Wuxi Ministry of Education Key Lab. for Earth System Modeling Center for Earth System Science Tsinghua University Department of Computer Science & Technology Tsinghua University Institute of Software and State Key Laboratory of Computer Science Chinese Academy of Sciences Tsinghua University Beijing Beijing CN

ISBN: (纸本)9781509015047

As a traditional application on various supercomputers, atmospheric modeling has long been suffering from the low performance efficiency. In this paper, we pick the 3D Euler equation solver (the most essential dynamic component for a non-hydrostatic atmospheric model) as the target application, and explore the maximum performance efficiency that can be achieved on CPU-GPU hybrid architectures. Besides presenting the suitable hybrid domain decomposition methodology and taking proper usage of tuning techniques for both the CPU and GPU parts, we further propose a novel GPU tuning technique, namely the customizable data caching mechanism with thread warp rescheduling scheme, which is specifically designed for the Euler solver. Combining all the optimizing approaches together, remarkable performance boost has been achieved on mainstream GPU architectures including Tesla Fermi C2050, K20×, K40 and K80. Especially, on the latest Tesla K80, we demonstrate a 31.64× speedup over the performance of 12-core E5-2697 CPU. In addition, based on a hybrid CPU-GPU node with two 12-core E5-2697 CPUs and two Tesla K80 GPUs, a sustained double-precision performance of 1.04 Tflops (16% of the peak) is achieved, which is remarkably higher than the efficiency of similar optimizing tasks based on heterogeneous platforms (strictly less than 10%, as demonstrated in the related work). In addition, a nearly linear weak scaling efficiency is achieved which demonstrate the effectiveness of our domain decomposition method.

关键词： Atmospheric modeling Graphics processing units Mathematical model Computational modeling computer architecture Tuning Three-dimensional displays

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Depth-of-Field Rendering with Saliency-Based Bilateral Filtering

Depth-of-Field Rendering with Saliency-Based Bilateral Filte...

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IEEE International Conference on computer-Aided Design and computer Graphics

作者： Weichen Xue Dong Xing Ming Lin Jing Wang Bin Sheng Lizhuang Ma Department of Computer Science & Engineering Shanghai Jiao Tong University Shanghai China State Key Lab. of Computer Science Inst. of Software Chinese Academy of Sciences Beijing China

Depth of Field (DoF) is an indispensable feature of photo realistic rendering and photography retouching. In this paper, we propose an image-based rendering technique which can simulate the depth-of-field effect. The proposed technique can render the depth-of-field effect automatically without any interactions. Compared to the ordinary depth-of-field rendering technique, our algorithm is less time-consuming and needs no additional depth maps to assist the depth-of-field rendering. In our proposed algorithm, the saliency detection technique is employed to simulate the depth information. The flash-based technique is also introduced to promote the final depth-of-field rendering visual effect.

关键词： Rendering (computer graphics) Ash computer vision Image color analysis Data mining Image edge detection

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Representation of image content with multi-scale segmentation

Representation of image content with multi-scale segmentatio...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Jing Zhang Ya-Xin Zhao Da Li Zhi-Hua Chen Yu-Bo Yuan Department of Computer Science & Engineering East China University of Science & Technology Shanghai State Key Lab. for Novel Software TechnologyNanjing University P.R. China

ISBN: (纸本)9781479902590

Representation of image content is an important part of image annotation and retrieval, which has become a hot topic in computer vision recently. In order to represent image content more efficiently and accurately, grid based methods such as bag-of-words, were proposed and attracted more attention. However, how to segment images and which scale is the best one are still open problems. In this paper, we segment images into grids in several different scales and extract low-level features from every grid, then visual words are constructed by clustering. Through comparing and analyzing the experiment results based on Corel SK, we study the influence of multi-scale segmentation on representation of image content. Our research is helpful for choosing appropriate scales in different situations where image contents are represented, and meaningful to image classification and retrieval.

关键词： Image segmentation Abstracts

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Multi-projector display wall system for windows desktop applications

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Journal of Computational Information systems 2007年第1期3卷 397-403页

作者： Jiang, Zhongding Mao, Yandong Qin, Bo Jiang, Nan Zang, Binyu Bao, Hujun Computer Graphics Laboratory Software School Fudan University Shanghai 201203 China State Key Lab. of CAD and CG Zhejiang University Hangzhou 310027 China

Large-format high-resolution display systems are increasingly adopted in virtual reality, digital museum, scientific visualization, and other application fields. Traditionally, wall size display system is driven by a cluster of PCs or special high end graphics supercomputer. With the rapid advance of PC graphics hardware, one inexpensive mainstream PC has the power to drive multiple high-resolution displays. This paper proposes one multi-projector display wall system driven by single PC. Besides graphics intensive applications, this system can transparently and efficiently display windows desktop applications without modifying the source code. It takes advantage of the bandwidth of PCI Express bus, and supports at least triple projectors, which is suitable for constructing immersive virtual reality center. Design geometric alignment and photometric correction methods are given to display the frame buffer content seamlessly on the planar display screen. Experimental results show that this system can achieve real time refresh rates. It does little side effect on the performance of common non-graphics windows desktop applications.

关键词： Display devices

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