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International Conference on Multimedia Communications

作者： Zhang, Xiayi Liu, Fuqiang Li, Zhipeng Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China

ISBN: (纸本)9780769541365

Statistical background subtraction has proved to be a robust and effective approach for segmenting and extracting objects without any prior information of the foreground objects. This paper presents two contributions on this topic. The first contribution of this paper proposes a novel approach which introduces the motion mask into the Gaussian Mixture Models to reduce the errors of classical GMMs, which always classifies the moving objects as background incorrectly, and affects the accuracy of the steps followed by, when the objects are still in long periods. The second contribution regards the connected component labeling based on the contour tracking algorithm. Experimental results validate the effectiveness of the proposed approach. © 2010 IEEE.

关键词： Object recognition

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Efficient Rate Control Algorithm for Hierarchical Video Coding

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Journal of Donghua University(English Edition) 2012年第3期29卷 222-226页

作者：陆千里岑锋许维胜朱芳来 The Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University Department of Control Science&Engineering Tongji University

For rate control (RC) of hierarchical structure coding, an independent rate-quantization (R-Q) model was proposed based on mean absolute differences (MADs) in different temporal levels (TLs). In the proposed R-Q model, a novel MAD model was developed according to the hierarchical structure. The experimental results demonstrate that the proposed algorithm provides better performance, in terms of average peak signal-to-noise ratio (PSNR) and quality smoothness, than the H.264 reference model, JM14.2, under various sequences.

关键词： rate-quantization (R-Q) model rate control(RC) video coding peak signal-to-noise ratio (PSNR) hierarchical structure

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CDMC2011 data mining competition: LEVIS group results overview

CDMC2011 data mining competition: LEVIS group results overvi...

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2012 International Conference on System Simulation, ICUSS 2012

作者： Zhao, Q.C. Liu, J.M. Wang, X. You, M.Y. Li, G.Z. MOE Key Laboratory of Embedded Systems and Service Computing Department of Control Science and Engineering Tongji University Shanghai 201804 China

ISBN: (纸本)9781849195386

The task for the data mining contest organized in conjunction with the ICONIP2011 conference was to learn three predictive models (i.e. a classifier) capable of distinguishing between different classes for three separate tasks. Different combinations of data preprocess, feature selection and classifier learning methods were tried to obtain the best results.

关键词： Intrusion detection

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Neighborhood Extended Dynamic Graph Neural Network 2022

Neighborhood Extended Dynamic Graph Neural Network

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14th International Conference on Machine Learning and computing, ICMLC 2022

作者： Yu, Da Wang, Junli Jiang, Changjun Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University China

ISBN: (纸本)9781450395700

Representation learning on dynamic graphs has drawn much attention due to its ability to learn hidden relationships as well as capture temporal patterns in graphs. It can be applied to represent a broad spectrum of graph-based data like social networks and further use the learned representations to solve the downstream tasks including link prediction and edge classification. Although some approaches have been proposed for dynamic graphs in recent years, most of them paid little attention to the evolution of the entire graph topology, leading to the lack of global information of what happened in nodes' neighborhoods during their update. We propose NEDGNN, a novel Neighborhood Extended Dynamic Graph Neural Network on dynamic graphs represented as sequences of time-stamped events. We introduce a temporal attention propagation module to generate messages for n-hop neighbors through a self-attention mechanism, which can help disseminate information among nodes' n-hop neighbors. Besides, a FIFO message box module is also applied to gain some time efficiency. Due to the introduction of these modules, NEDGNN outperforms many state-of-the-art baselines in several tasks. We also perform a detailed ablation study to test the effectiveness and time cost of each module. © 2022 ACM.

关键词： Graph neural networks

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A novel storing and accessing method of traffic incident video based on spatial-temporal analysis 15th

A novel storing and accessing method of traffic incident vid...

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

作者： Zhang, Yaying Zhu, Yinyin Key Laboratory of Embedded System and Service Computing Tongji University Shanghai201804 China

ISBN: (纸本)9783319271217

Hadoop Distributed File System (HDFS) is a reliable and scalable data storage solution. However, it has great weakness in storage of the numerous small files. A merging method of small video files containing traffic incidents is proposed to improve the HDFS storage efficiency of small files. As traffic incident videos can be classified in terms of time and the crossroad where the incident happens, the proposed method merges video files together by time and region (usually adjacent crossroads). Indexing mechanism has been improved in later searching for small video files. The whole HDFS file block related to specific incidents will be read out to local cache. The experimental results show that when accessing for traffic incidents by region in certain period, the average search time and the memory load of HDFS NameNode will be effectively reduced. © Springer International Publishing Switzerland 2015.

关键词： Storage efficiency

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A metadata management strategy based on event-classification in intelligent transportation system 1

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

作者： Su, Yayun Zhang, Yaying Key Laboratory of Embedded System and Service Computing Tongji University Shanghai200092 China

ISBN: (数字)9783319271194

ISBN: (纸本)9783319271187

With the explosive growth of data information, the object-oriented storage system has been widely used. This paper proposed a metadata management strategy based on Distributed File System-Ceph in terms of event classification, taking advantage of the characteristics of data in urban traffic system. The large amount of data with a wide variety of sources and data types was first classified by machine learning, and a classification model was established. Then, improvements on load balancing were made to the existing Ceph Load Balancing Strategy of metadata partition. The metadata partitioning is to assign and migrate metadata obtained from the event classification model to the target server chosen by the fuzzy optimum method. Experimental results show that the proposed load balancing strategy based on event classification can not only make the overall load of the metadata servers in a relatively stable state but also make the migration times less than that of other algorithms. The extra overhead of the system is also reduced. © Springer International Publishing Switzerland 2015.

关键词： Metadata

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Constructing prioritized interaction test suite with interaction relationship

Constructing prioritized interaction test suite with interac...

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2nd International Workshop on Education Technology and Computer Science, ETCS 2010

作者： Yuan, Jianjun Jiang, Zuowen Key Laboratory of Embedded System and Service Computing Ministry of Education of China Tongji University Shanghai China Department of Computer Science and Technology Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China

ISBN: (纸本)9780769539874

Interaction testing has addressed some issues on how to select a small subset of test cases. In many systems where interaction testing is needed, the entire test suite is not executed because of time or budget constraints. It is important to prioritize the test cases in these situations. On the other hand, there are not always interactions among any factors in real systems. Moreover, some factors may need N-way (N>2) testing since there is a closer relationship among them. We present a model for prioritized interaction testing with interaction relationship and propose a greedy algorithm for generating variable strength covering arrays with bias. © 2010 IEEE.

关键词： Testing

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Symptom selection for multi-label data of inquiry diagnosis in traditional Chinese medicine

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Science China(Information Sciences) 2013年第5期56卷 238-250页

作者： SHAO Huan LI GuoZheng LIU GuoPing WANG YiQin School of Computer Engineering and Science Shanghai University Department of Control Science and Engineering Key Laboratory of Ministry of Education for Service Computing and Embedded SystemsTongji University Laboratory of Information Access and Synthesis of TCM Four Diagnosis Shanghai University of Traditional Chinese Medicine

In traditional Chinese medicine(TCM) diagnosis,a patient may be associated with more than one syndrome tags,and its computer-aided diagnosis is a typical application in the domain of multi-label learning of high-dimensional *** is common that a great deal of symptoms can occur in traditional Chinese medical diagnosis,which affects the modeling of diagnostic *** selection entails choosing the smallest feature subset of relevant symptoms,and maximizing the generalization performance of the *** present there are rare researches on feature selection on multi-label data.A hybrid optimization technique is introduced to symptom selection for multi-label data in TCM diagnosis in this paper,and modeling is made by means of four multi-label learning algorithms like k nearest neighbors,*** compare the performance of the algorithm with the current popular dimension reduction algorithms like MEFS(embedded feature selection for multi-Label learning),MDDM(multi-label dimensionality reduction via dependence maximization) on the UCI Yeast gene functional data set and an inquiry diagnosis dataset of coronary heart disease(CHD).Experimental results show that the algorithm we present has significantly improved the *** particular,the improvement on the average precision for the classifier is up to 10.62% and 14.54%.Syndrome inquiry modeling of CHD in TCM is realized in this paper,providing effective reference for the diagnosis of CHD and analysis of other multi-label data.

关键词： multi-label learning feature selection high-dimensionality inquiry of traditional Chinese medicine coronary heart disease

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Will the fibers of the future be considered fibers?

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National Science Review 2024年第10期11卷 15-17页

作者： Dewen Xu Ya Liu Hailiang Wang Wei Yan Changjun Jiang Meifang Zhu State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and Engineering Donghua University Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Department of Computer Science and Technology Tongji University

Fiber materials are key materials that have changed human history and promoted the progress of human civilization. In ancient times, humans used feathers and animal skins for clothing, and later they widely employed natural fibers such as cotton, hemp, silk and wool to make fabrics(Fig. 1a). Chinese ancestors had mastered the art of natural fiber weaving as early as the Neolithic *** thousand years ago, people were already familiar with and adept at techniques for spinning natural fibers [1].

关键词： future will considered fibers

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Cluster Synchronization of Complex Networks With Unbounded Time-varying Delays 35

Cluster Synchronization of Complex Networks With Unbounded T...

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第35届中国控制会议

作者： LIU Xiwei CHEN Wenwen Department of Computer Science and Technology Tongji University Key Laboratory of Embedded System and Service Computing Ministry of Education

ISBN: (纸本)9789881563910

In this paper, we investigate the cluster synchronization problem with unbounded time-varying delays for complex networks by adding some external controllers. Previous related works mainly focused on bounded time-varying or constant time delays, which may not be consistent with the real world. Therefore, unbounded time-varying delays is considered in this paper,which can be regarded as the main difference between this paper and previous related works. We discuss the necessary condition for cluster synchronization with external controllers, which can be used to guide the design of external controllers. Then, by using the Lyapunov function method, we prove that cluster synchronization could be achieved under some sufficient ***, the effects of time delays for the convergence of cluster synchronization are also discussed, which are named as theμ-cluster synchronization. Finally, numerical simulations are presented to show the validity of the obtained criteria.

关键词： Cluster Synchronization Complex Networks Unbounded Delay

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