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2013 2nd International Symposium on Materials Science and Engineering technology(ISMSET 2013)

作者： Shaoguo Xie Yanjun Hu Yi Wang Fang Jiang Jingjing Liu Yingguan Wang Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education An Hui University Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences

In this paper, we propose a novel model of three points named TP for location estimation in wireless sensor networks(WSNs) with random deployment of anchor nodes. In this model, we select three anchor nodes which have the strongest received signal strength(RSS) for location estimation, the centroid algorithm and the method of intersection of judgment are used to estimate the location of unknown nodes. To further exploit three nearest intersection points in TP, the enhanced TP(ETP) is proposed. The simulation results show that the proposed models outperform MMSE and BML in terms of the localization accuracy for WSNs. Moreover, the localization accuracy of the proposed models in scenario 2 with random deployment of anchor nodes are better than in scenario 1 with planned deployment of anchor nodes. Additionally, compared with MMSE and BML, ETP and TP can reduce the environmental impact on location estimation.

关键词： Location estimation Anchor node Wireless sensor networks

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Sentimental Space Based Analysis of User Personalized Sentiments

Sentimental Space Based Analysis of User Personalized Sentim...

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International Conference on Semantics, Knowledge and Grid (SKG)

作者： Xinzhi Wang Xiangfeng Luo School of Computer Engineering and Science Shanghai University Shanghai China Key Laboratory of Intelligent Information Processing Institute of Computing Technology hinese Academy of Sciences Beijing China

With the development of social media, online documents such as the comments of news articles, blogs and microblogs have received great attention, and the sentiment analysis via online documents has become one popular research area. This paper focuses on establishing user sentimental space obtained from online documents to analyze user's personalized sentiments, which aims to identify user's sentimental feature. Affection, sentiment and attributes of user are firstly employed to build user's personalized sentimental space. Then, the general constrains of user sentiments space are proposed to calculate user's personality. And finally we seek out sentimental leaders who paly pivotal role in the leading public opinions. Our works can give some suggestions for decision makers when urgent event happen.

关键词： Feature extraction Vectors Aerospace electronics Controllability Asymptotic stability Stability analysis Fluctuations

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Nitrogen vertical distribution by canopy reflectance spectrum in winter wheat

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IOP Conference Series: Earth and Environmental Science 2014年第1期17卷

作者： W J Huang Q Y Yang D L Peng L S Huang D Y Zhang G J Yang Key Laboratory of Digital Earth Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing 100094 China Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei 230039 Anhui China Beijing Agriculture Information Technology Research Center Beijing 100097 China

Nitrogen is a key factor for plant photosynthesis, ecosystem productivity and leaf respiration. Under the condition of nitrogen deficiency, the crop shows the nitrogen deficiency symptoms in the bottom leaves, while excessive nitrogen will affect the upper layer leaves first. Thus, timely measurement of vertical distribution of foliage nitrogen content is critical for growth diagnosis, crop management and reducing environmental impact. This study presents a method using bi-directional reflectance difference function (BRDF) data to invert foliage nitrogen vertical distribution. We developed upper-layer nitrogen inversion index (ULNI), middle-layer nitrogen inversion index (MLNI) and bottom-layer nitrogen inversion index (BLNI) to reflect foliage nitrogen inversion at upper layer, middle layer and bottom layer, respectively. Both ULNI and MLNI were made by the value of the ratio of Modified Chlorophyll Absorption Ration Index to the second Modified Triangular Vegetation Index (MCARI/MTVI2) referred to as canopy nitrogen inversion index (CNII) in this study at ±40° and ±50°, and at ±30° and ±40° view angles, respectively. The BLNI was composed by the value of nitrogen reflectance index (NRI) at ±20° and ±30° view angles. These results suggest that it is feasible to measure foliage nitrogen vertical-layer distribution in a large scale by remote sensing.

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Progressive Image Restoration through Hybrid Graph Laplacian Regularization

Progressive Image Restoration through Hybrid Graph Laplacian...

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Data Compression Conference (DCC)

作者： Deming Zhai Xianming Liu Debin Zhao Hong Chang Wen Gao School of Computer Science and Technology Harbin Institute of Technology Harbin China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Harbin Institute of Technology Harbin Heilongjiang CN

ISBN: (纸本)9781467360371

In this paper, we propose a unified framework to perform progressive image restoration based on hybrid graph Laplacian regularized regression. We first construct a multi-scale representation of the target image by Laplacian pyramid, then progressively recover the degraded image in the scale space from coarse to fine so that the sharp edges and texture can be eventually recovered. On one hand, within each scale, a graph Laplacian regularization model represented by implicit kernel is learned which simultaneously minimizes the least square error on the measured samples and preserves the geometrical structure of the image data space by exploring non-local self-similarity. In this procedure, the intrinsic manifold structure is considered by using both measured and unmeasured samples. On the other hand, between two scales, the proposed model is extended to the parametric manner through explicit kernel mapping to model the inter-scale correlation, in which the local structure regularity is learned and propagated from coarser to finer scales. Experimental results on benchmark test images demonstrate that the proposed method achieves better performance than state-of-the-art image restoration algorithms.

关键词： Kernel Noise Image restoration Laplace equations Noise measurement Manifolds Linear programming

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Distributed Query Processing in an Ad-hoc Semantic Web Data Sharing System

Distributed Query Processing in an Ad-hoc Semantic Web Data ...

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IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Jing Zhou Gregor V. Bochmann Zhongzhi Shi The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Electrical Engineering and Computer Science University of Ottawa Ontario Canada

ISBN: (纸本)9781479913725

Sharing the Semantic Web data in proprietary datasets in which data is encoded in RDF triples in a decentralized environment calls for efficient support from distributed computing technologies. The highly dynamic ad-hoc settings that would be pervasive for Semantic Web data sharing among personal users in the future, however, pose even more demanding challenges for the enabling technologies. We extend previous work on a hybrid P2P architecture for an ad-hoc Semantic Web data sharing system which better models the data sharing scenario by allowing data to be maintained by its own providers and exhibits satisfactory scalability owing to the adoption of a two-level distributed index and hashing techniques. Additionally, we propose efficient distributed processing of SPARQL queries in such a context and explore optimization techniques that build upon distributed query processing for database systems and relational algebra optimization. We anticipate that our work will become an indispensable, complementary approach to making the Semantic Web a reality by delivering efficient data sharing and reusing in an ad-hoc environment.

关键词： Peer-to-peer computing Resource description framework Indexes Query processing Distributed databases Optimization

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Two-level default theories

Two-level default theories

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2013 International Conference on Artificial Intelligence, ICAI 2013

作者： Zang, Liangjun Cao, Cungen Sui, Yuefei Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences No.6 Kexueyuan South Road Hai Dian Distinct Beijing 100190 China University of Chinese Academy of Sciences No.19 Yu Quan Road Shi Jing Shan Distinct Beijing 100049 China

ISBN: (纸本)1601322488

Default Logic employs assumption-based default rules to draw plausible consequences in face of incomplete information. In ontology representation, there are two kinds of relations between concepts: subsumption relation and default subsumption relation. Subsumption relation is transitive, whereas default subsumption relation is transitive by default. Both default transitivity of default subsumption and default inheritance of default property should be represented as defaults about defaults, i.e. two-level defaults. None of existing default logics can represent two-level defaults. In this paper, we propose two-level default theories which augment default theories with two-level defaults. A two-level default theory can be divided into two levels and its extensions can be generated by two steps. We prove that normal two-level default theories cannot reduce to normal default theories. Specifically, there is a normal two-level default theory such that there exists no normal default theory such that they share the same set of extensions.

关键词： Formal logic

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Synchronic Analysis in a Neural Network Based on FitzHugh-Nagumo Equations with Time Delay

Synchronic Analysis in a Neural Network Based on FitzHugh-Na...

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2013 ICME International Conference on Complex Medical Engineering(2013 ICME复合医学工程国际会议)

作者： Shurui Qin Yuanhua Qiao Jun Miao Lijuan Duan College of Applied Science Beijing University of Technology Beijing 100124 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Acad College of Computer Science Beijing University of Technology Beijing 100124 China

The dynamics of a neuronal network often involves time delay due to the finite signal propagation speed in biological *** this paper,we make some analysis on the FitzHugh-Nagumo model with coupling delay and then inve... 详细信息

ISBN: (纸本)9781467329705

关键词： FitzHugh-Nagumo model neural network synchronization time delay

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Moving vehicle detection and tracking in traffic images based on horizontal edges

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Telkomnika - Indonesian Journal of Electrical Engineering 2013年第11期11卷 6477-6483页

作者： Zhu, Hongjin Fan, Honghui Guo, Shuqiang School of Computer Engineering Jiangsu University of Technology Changzhou 213001 Jiangsu China Key Laboratory of Cloud Computing Intelligent Information Processing of Changzhou City China School of Information Engineering Northeast Dianli University Jilin 132012 Jilin China

This paper presents a moving vehicle detection and tracking system, which comprising of Horizontal Edges method and Local Auto Correlation. Horizontal Edges characteristic can be strengthened and the influence of weather condition is reduced by using Local Auto Correlation, so the detection rate of extracting and tracking moving vehicles with horizontal edge can be raised. Local Auto Correlation images are generated for vehicle detection and based on Horizontal Edges method. The distance of the gravity center of Horizontal Edges is used to track vehicles in traffic video. We verify the system using a variety of weather (in fog, car shadow existence, morning and evening) traffic video. Experimental results have shown that the high detection rate of moving vehicles be obtained by using the proposed method. © 2013 Universitas Ahmad Dahlan.

关键词： Tracking (position)

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Energy-Efficient Task Allocation for VFI-Based Real-Time Multi-core Systems

Energy-Efficient Task Allocation for VFI-Based Real-Time Mul...

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International Conference on information Science and Cloud computing Companion (ISCC-C)

作者： Xiaodong Wu Yuzhu Zeng Jianjun Han College of Mathematics and Computer Science Quanzhou Normal University Key Laboratory of Intelligent Computing and Information Processing Fujian Province University Fujian China College of Computer Science and Technology Huazhong University of Science and Technology Wuhan Hubei China

Chip Multiprocessor (CMP) has become computing engine for a wide spectrum of applications due to its higher throughput and better energy efficiency. The problem of optimal task-to-core allocation with the minimum energy consumption has been proven to be NP-hard. In order to solve the energy-efficient real-time task mapping in the voltage frequency islands (VFI) based multicore system, we propose a heuristics EEGA (Energy-Efficient and Genetic Algorithm) to address the problem. During the iteration process of the algorithm, the energy consumption of the processor can be gradually optimized by the selection, crossover and mutation operators. Experimental results show that when compared with other energy-efficient mapping algorithms, our proposed approach can gain better performance with regard to the energy efficiency and schedulability ratio.

关键词： Biological cells Real-time systems Multicore processing Resource management Energy efficiency Frequency synchronization Sociology

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Spectral Distance Distributions for Non-rigid Objects

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Computer Aided Drafting,Design and Manufacturing 2013年第2期23卷 17-24页

作者： CAO Wei-guo Li Hai-yang LI Shi-rui LIU Yu-jie LI Hua Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China School of Computer Science and Communication Engineering China University of Petroleum Qingdao 266555 China.

Non-rigid shape deformation without tearing or stretching is called isometry. There are many difficulties to research non-rigid shape in Euclidean space. Therefore, non-rigid shapes are firstly embedded into a none-Euclidean space. Spectral space is chosen in this paper. Then three descriptors are proposed based on three spectral distances. The existence of zero-eigenvalue has negative effects on computation of spectral distance, Therefore the spectral distance should be computed from the first non-zcro-eigenvalue. Experiments show that spectral distance distributions are very effective to describe the non-rigid shapes.

关键词： non-rigid shape analysis pattern recognization isometry Laplace-Beltrami operator spectrum

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