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A new algorithm of self-adapting congestion control based on semi-normal distribution

Advances in Information Sciences and Service Sciences 2011年第4期3卷 40-47页

作者： Zhang, De-gan Liu, Zhao-jing Liang, Yan-Pin Tianjin Key Lab of Intelligent Computing and Novel software Technology Tianjin University of Technology China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education China

The control of network congestion has become a hot spot in the study of Internet of Things transmission service. Considering the complicated and integrated network environment that the Internet of Things to face in the future, the paper comes up with control algorithm of self-adapting congestion based on semi-normal distribution, this algorithm has improved the original packet loss rate function, and conduct corresponding control over network situation categorized according to the length of queue. The result of experiment shows that the algorithm of self-adapting congestion control based on semi-normal distribution is adapt to the complicated changing congestion situation in Internet of Things.

关键词： Normal distribution

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Research on service matching method for LBS

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International Journal of Advancements in computing technology 2011年第6期3卷 131-138页

作者： Zhang, De-gan Wang, Dong Liang, Yan-bin Liu, Zhao-jing Tianjin Key Lab of Intelligent Computing and Novel software Technology Tianjin University of Technology China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education China

With the development of mobile computing, location-based service (LBS) is becoming an important aspect of applied research, the technology of service discovery becomes a core issue. So service matching is the most important in service discovery, also it became hot spot in researching. In the process of providing service to user, not only the quality of service should be improved, but also user's preferences should be considered. The existing mainstream service discovery protocols in the location-oriented service were compared in this paper. Based on analysis and comparison, a new algorithm of service matching is proposed in this paper. It improves the service matching success rate through hierarchical matching and full accounting of the user's preference, and ultimately aim to improve service quality.

关键词： Location based services

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Endmember extraction by exemplar finder

Endmember extraction by exemplar finder

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9th International Conference on Advanced Data Mining and Applications, ADMA 2013

作者： Guo, Yi Gao, Junbin Sun, Yanfeng CSIRO Division of Computational Informatics North Ryde NSW 1670 Australia School of Computing and Mathematics Charles Sturt University Bathurst NSW 2795 Australia Beijing Municipal Key Lab. of Multimedia and Intelligent Software Technology Beijing University of Technology Beijing 100124 China

ISBN: (纸本)9783642539169

We propose a novel method called exemplar finder (EF) for spectral data endmember extraction problem, which is also known as blind unmixing in remote sensing community. Exemplar finder is based on data self reconstruction assuming that the bases (endmembers) generating the data exist in the given data set. The bases selection is fulfilled by minimising a l2/l1 norm on the reconstruction coefficients, which eliminates or suppresses irrelevant weights from non-exemplar samples. As a result, it is able to identify endmembers automatically. This algorithm can be further extended, for example, using different error structures and including rank operator. We test this method on semi-simulated hyperspectral data where ground truth is available. Exemplar finder successfully identifies endmembers, which is far better than some existing methods, especially when signal to noise ratio is high. © 2013 Springer-Verlag.

关键词： Signal to noise ratio

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Brief review of image denoising techniques

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Visual computing for Industry,Biomedicine,and Art 2019年第1期2卷 55-66页

作者： Linwei Fan Fan Zhang Hui Fan Caiming Zhang School of Software Shandong UniversityShunHua Road No.1500Jinan 250101China Shandong Co-Innovation Center of Future Intelligent Computing BinHai Road No.191Yantai 264005China Shandong Province Key Lab of Digital Media Technology Shandong University of Finance and EconomicsBicyclic East Road No.7366Jinan 250061China

With the explosion in the number of digital images taken every day,the demand for more accurate and visually pleasing images is ***,the images captured by modern cameras are inevitably degraded by noise,which leads to deteriorated visual image ***,work is required to reduce noise without losing image features(edges,corners,and other sharp structures).So far,researchers have already proposed various methods for decreasing *** method has its own advantages and *** this paper,we summarize some important research in the field of image ***,we give the formulation of the image denoising problem,and then we present several image denoising *** addition,we discuss the characteristics of these ***,we provide several promising directions for future research.

关键词： Image denoising Non-local means Sparse representation Low-rank Convolutional neural network

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Topic discovery of clusters from documents with geographical location

Topic discovery of clusters from documents with geographical...

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作者： Zhang, Li Sun, Xiaoping Zhuge, Hai Knowledge Grid Lab Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Nanjing University of Posts and Telecommunications Nanjing Jiangsu China State Key Laboratory of Software Engineering Wuhan University Wuhan Hubei China University of Chinese Academy of Sciences Beijing China

As smart phones with GPS become popular, more and more textual documents with geographical locations are published on the Web. keyword-based location services like vehicle navigation, tour planning, nearby object querying, and location pattern discovering of spatial objects are becoming popular and important. However, processing both text and geographical locations brings more challenges to information-retrieval techniques. In this paper, we focus on the problem of finding textual topics of clusters containing spatial objects with text descriptions. The key is how to combine clustering techniques with topic-retrieval models to integrate both geo-location information and text information. We investigated methods that combine clustering methods with the Latent Dirichlet Allocation model to discover topics of clusters of documents with geo-locations. Six different methods of combination are investigated, each having outputs with different meanings, which can be further leveraged to answer different types of queries over spatial documents. Experiments are conducted on both synthetic and real data. The results show that the combination of the probabilistic topic model with clustering algorithms is an efficient and effective way to discover meaningful clusters in different facets and levels of documents with textual and geographical information. © 2015 John Wiley & Sons, Ltd.

关键词： Cluster analysis

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A kind of new web-based method of media seamless migration for mobile service

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Journal of Information and Computational Science 2011年第10期8卷 1825-1836页

作者： Zhang, Degan Dai, Wenbo Liang, Yanpin Liu, Zhaojing Tianjin Key Lab. of Intelligent Computing and Novel software Technology Tianjin University of Technology Tianjin 300191 China Ministry of Education Tianjin 300191 China

In order to improve the mobile services under the banner of the Internet of Things, we propose and design a new kind of Web-based method of media seamless migration. The method can ensure the media seamless migration fast, smoothly and correctly. Implemented method will better solve the migration of media on the application layer of mobile service. Our tests have shown our suggested seamless migration strategies are effective. This method will serve universal Web-based E-Learning, E-office, E-business and so on. © 2011 by Binary Information Press.

关键词： Websites

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A polynomial algorithm to performance analysis of concurrent systems via petri nets and ordinary differential equations

A polynomial algorithm to performance analysis of concurrent...

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作者： Ding, Zuohua Zhou, Yuan Zhou, Meng Chu Laboratory of Intelligent Computing and Software Engineering Zhejiang Sci-Tech University Hangzhou310018 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China Department of Electrical and Computer Engineering New Jersey Institute of Technology NewarkNJ07102-1982 United States

In this paper, a new method is proposed to evaluate the performance of concurrent systems. A concurrent system consisting of multiple processes that communicate via message passing mechanisms is modeled by a Petri net, which is in turn represented by a set of ordinary differential equations (ODEs) of a restricted type. The equations describe the system state changes, and the solutions, also called state measures, can be used for the performance analysis such as estimating response time, throughput and efficiency. This method can avoid a state explosion problem encountered by the conventional methods based on Continuous-Time Markov Chains. Its application to an IBM business system is given as an example. © 2004-2012 IEEE.

关键词： Ordinary differential equations

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Study of Continuous Blood Pressure Measurement Based on Single lead Pulse Wave

Study of Continuous Blood Pressure Measurement Based on Sing...

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2017 2nd International Conference on Materials Science,Machinery and Energy Engineering(MSMEE 2017)

作者： Gang Zheng Lin-Lin Fan Jia Qi Tianjin Key Laboratory of Intelligent Computing and Software New Technology Tianjin University of technology School of computer science and engineering Tianjin University of technology

In order to achieve a non-invasive continuous measurement of blood pressure, a method of establishing a nonlinear blood pressure estimation model by BPNN(Back Propagation Neural Network)was proposed. By acquiring pulse wave, systolic and diastolic blood pressure value of every heart beat cycle were calculated based on the model, and continuous blood pressure was gotten as consequence. Experiments were done on 25 healthy young students and 33 patients in the ICU ward that introduced from MIMIC public database. Experiment result show that 95% systolic values and 96% diastolic values of health group were in confidence interval respectively, and that of patient group were 96.7% in systolic value and 95% in diastolic value respectively. And the blood pressure values measured by the proposed model met AAMI standard.

关键词： Pulse Wave Continuous Blood Pressure Measurement BPNN MIMIC

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Semi-supervised learning with local and global consistency by geodesic distance and sparse representation 1

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3rd Sino-Foreign-Interchange Workshop on intelligent Science and intelligent Data Engineering, IScIDE 2012

作者： Gui, Jie Zhao, Zhongqiu Hu, Rongxiang Jia, Wei Intelligent Computing Lab. Hefei Institute of Intelligent Machines Chinese Academy of Sciences Hefei Anhui 230031 China State Key Laboratory for Novel Software Technology Nanjing University China College of Computer Science and Information Engineering Hefei University of Technology China Institue of Energy Safety Chinese Academy of Sciences Hefei Anhui 230031 China

ISBN: (数字)9783642366697

ISBN: (纸本)9783642366680

In many practical data mining applications, such as web categorization, key gene selection, etc., generally, unlabeled training examples are readily available, but labeled ones are fairly expensive to obtain. Therefore, in recent years, semi-supervised learning algorithms such as graph-based methods have attracted much attention. However, most of these traditional methods adopted a Gaussian function to calculate the edge weights of the graph. In this paper, a novel weight for semi-supervised graph-based methods is proposed. The new method adds the label information from problem into the target function, and adopts the geodesic distance rather than Euclidean distance as the measure of the difference between two data points when conducting the calculation. In addition, we also add class prior knowledge from problem into semi-supervised learning algorithm. Here we address the problem of learning with local and global consistency (LGC). It was found that the effect of class prior knowledge was probably different between under high label rate and low label rate. Furthermore, we integrate sparse representation (SR) in LGC algorithm. Experiments on a UCI data set show that our proposed method outperforms the original algorithms. © Springer-Verlag 2013.

关键词： Learning algorithms

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A Method of Concept Similarity Computation Based on Semantic Distance

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Procedia Engineering 2011年 15卷 3854-3859页

作者： Wenjie Li Qiuxiang Xia Tianjin Key Lab of Intelligent Computing & Novel software Technology Tianjin University of TechnologyTianjin 300384China Key Laboratory of Computer Vision and System (Tianjin University of Technology) Ministry of Education Tianjin 300384China

Calculating the similarity between the concepts is the key in the process of the ontology mapping. Based on the analysis of the traditional method of calculating semantic similarity, a semantic distance-based concept similarity computation method is proposed. In order to keep the effectiveness and comprehensiveness of this method, the main factors which impact the semantic distance are considered fully, the factors of concept semantic contact ratio and depth differences between concepts nodes are also taken into account. By calculating test data, the experiment result shows that the method can calculate concepts similarity effectively.

关键词： ontology semantic distance concept semantic similarity

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