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2011 2nd International Conference on Advanced Measurement and Test (AMT 2011)

作者： Shan HuaYao Xian LiangWu Anhui University of Science and Technology Key laboratory of Intelligent Computing & Signal Processing Anhui University

In this paper,the mine tunnels is regard as wave-guide which contains kinds of un-beneficial medium,we have study the formulas of electromagnetic waves propagation attenuation and roughness attenuation,the relations between propagation attenuation and roughness and frequency were *** results show that the influence of propagation attenuation in lower frequency is more obvious,and roughness attenuation is increased rapidly as roughness of coal mine tunnels *** tilted attenuation is stronger than roughness attenuation as propagation frequency increasing.

关键词： coal mine tunnel rough surface electromagnetic waves propagation characteristics

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A split-operator method to simulate the left hand materials

A split-operator method to simulate the left hand materials

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2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, CSQRWC 2011

作者： Ren, Xin-Gang Huang, Zhi-Xiang Wu, Xian-Liang Lu, Si-Long Mei, Yi-Cai Du, Hong-Mei Wu, Lei Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China Department of Physics and Electronic Engineering Hefei Normal University Hefei China

ISBN: (纸本)9781424497904

The finite difference time domain (FDTD) is a powerful method in electromagnetic simulation and also widely used in research of the metamaterials recently. In this paper a novel FDTD method based on split operator is proposed to simulate the left hand materials, and the lossless Drude dispersive model is taken into account in the proposed scheme. The split perfectly matched layers (SPML) are used to absorb outgoing wave and terminate the computational domain. Focusing and refocusing of the electromagnetic wave in target detection by using the perfect lens is validated, and the inverse Snell effect is also demonstrated. © 2011 IEEE.

关键词： Electromagnetic simulation

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Optimum relay location in cooperative communication networks with single DF relay

Optimum relay location in cooperative communication networks...

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IEEE International Conference on Computer Science and Automation Engineering (CSAE)

作者： Lei Xu Hong-wei Zhang Xiao-hui Li Xian-liang Wu The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

In wireless communication, the cooperative communications technology has been concern because of its advantages of spatial diversity. In particular, cooperative communication with a single relay is a simple, practical technology for wireless sensor networks. In this paper, we analyze several simple network topologies. Under the condition of equal power allocating, the optimum relay locations are respectively determined by using symbol error rate (SER) formula. And these types of topologies are compared, the analysis results show that, Linear network topology has the best system performance, the system performance of isosceles triangle topology is better than that of equilateral triangle topology.

关键词： Topology Relays Bit error rate Network topology Wireless sensor networks Graphics IEEE Press

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Design and Implementation of Multimedia Control System Based on Bluetooth and Electrooculogram (EOG)

Design and Implementation of Multimedia Control System Based...

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International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Lian Li XiaoPei Wu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University HeFei China

Nowadays, the Human Computer Interaction (HCI) developments improve the research of EOG. In this paper, A new EOG-based HCI system for multimedia control is designed and implemented. A special headset named Mindset is used to detect the EOG pulses generated by blinking, and then transmit them wirelessly via Bluetooth to PC. Three modules are contained in the system, which are the wireless communication module, EOG recognition module and the multimedia control module, respectively. The system can be used as an assistant for the disable persons, also can be used for amusement among normal people. It is feasible to put the system into practical use due to its security and convenience.

关键词： Electrooculography Bluetooth Multimedia communication Wireless communication Software Human computer interaction Electrodes

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A Novel Framework for Concept Detection on Large Scale Video Database and Feature Pool

A Novel Framework for Concept Detection on Large Scale Video...

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2011中国人工生命与智能机器人会议

作者： LV Gang ZHENG Cheng Key Laboratory of Network and Intelligent Information Processing Hefei University Hefei Key of Intelligent Computing & Signal Processing Ministry of EducationAnhui University Hefei

Large-scale semantic concept detection from large video database suffers from the large variations among different semantic concepts as well as their corresponding effective low-level features. In this paper, we propose a novel framework to deal with this obstacle. The proposed framework consists of four major components: feature pool construction, pre-filtering, modeling, and classification. First, a large low-level feature pool is constructed, from which a specific set of features are selected for the latter steps automatically or semi-automatically. Then, to deal with the unbalance problem in training set, a pre-filtering classifier is generated, which aim at achieving a high recall rate and a certain precision rate nearly 50％ for a certain concept. Thereafter, from the pre-filtered training samples, a SVM classifier is built based on the selected features in the feature pool. After that, the SVM classifier is applied to classification of semantic concept. This framework is flexible and extensible in terms of adding new features into the feature pool, introducing human interactions on selecting features, building models for new concepts and adopting active learning.

关键词： Semantic Concept Detection Feature Pool Pre-filtering User-defined Concepts

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Electromagnetic waves multi-path model based on image approach in tunnels

Electromagnetic waves multi-path model based on image approa...

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International Conference on Electric Information and Control Engineering

作者： Yao, Shan-Hua Wu, Xian-Liang School of Electric and Information Engineering Anhui University of Science and Technology Huainan China Key Laboratory of Intelligent Computing and Signal Anhui University Hefei China

ISBN: (纸本)9781424480395

Multi-path propagation models of electromagnetic waves in tunnels are very important in resisting fading and enhancing communication quality. The differences between the wave-guide mode matching theory and ray tracing technology in predicting field were analyzed firstly in this paper, multi-path prediction model of the near-field environment in tunnels is established by using ray-tracing technique, and calculation means of total propagation distance and incidence angle and reflecting angle about three-dimensional helix ray based on image approach are presented. Finally propagation prediction model was simulated. The simulating results show that fading phenomena is very strong in tunnels, so propagation model is valuable of predicting field distributing. © 2011 IEEE.

关键词： Forecasting

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Adjoining tree-to-string translation

Adjoining tree-to-string translation

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49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011

作者： Liu, Yang Liu, Qun Lü, Yajuan Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China

ISBN: (纸本)9781932432879

We introduce synchronous tree adjoining grammars (TAG) into tree-to-string translation, which converts a source tree to a target string. Without reconstructing TAG derivations explicitly, our rule extraction algorithm directly learns tree-to-string rules from aligned Treebank-style trees. As tree-to-string translation casts decoding as a tree parsing problem rather than parsing, the decoder still runs fast when adjoining is included. Less than 2 times slower, the adjoining tree-tostring system improves translation quality by +0.7 BLEU over the baseline system only allowing for tree substitution on NIST Chinese- English test sets. © 2011 Association for Computational Linguistics.

关键词： Trees (mathematics)

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Local regression model for automatic face sketch generation

Local regression model for automatic face sketch generation

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International Conference on Image and Graphics

作者： Ji, Naye Chai, Xiujuan Shan, Shiguang Chen, Xilin Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Graduate University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769545417

As one of the important artistic styles of portrait, sketch portrait has wide applications for both digital entertainment and law enforcement. In this paper, an automatic face sketch generation approach is presented by learning from photo-sketch pair examples. Specifically, the relationship between a face photo and its corresponding face sketch is learned on image patch level. By applying this relationship to the input face photo patch, we can infer the output face sketch patch by exploiting some regression techniques such as kNN, the Lasso and so on. Via our local regression model, we can synthesize an appealing sketch portrait from a given face photo in a few minutes. Experiments conducted on CUHK database have shown that our results are more compelling than previous methods especially in two respects: (1) our synthesized sketches preserve more identity information of the original face photo;(2) our synthesized sketches presents more pencil sketch texture. © 2011 IEEE.

关键词： Regression analysis

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Salient region detection and segmentation for general object recognition and image understanding

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Science China(Information Sciences) 2011年第12期54卷 2481-2490页

作者： HUANG TieJun 1 , TIAN YongHong 1 , LI Jia 2 & YU HaoNan 11 National Engineering laboratory for Video Technology, School of Electrical Engineering and Computer Science, Peking University, Beijing 100871, China 2 key laboratory of intelligent Information processing, Institute of computing Technology, Chinese Academy of Sciences, Beijing 100190, China 1. National Engineering Laboratory for Video Technology School of Electrical Engineering and Computer Science Peking University Beijing 100871 China2. Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

General object recognition and image understanding is recognized as a dramatic goal for computer vision and multimedia retrieval. In spite of the great efforts devoted in the last two decades, it still remains an open problem. In this paper, we propose a selective attention-driven model for general image understanding, named GORIUM (general object recognition and image understanding model). The key idea of our model is to discover recurring visual objects by selective attention modeling and pairwise local invariant features matching on a large image set in an unsupervised manner. Towards this end, it can be formulated as a four-layer bottom-up model, i.e., salient region detection, object segmentation, automatic object discovering and visual dictionary construction. By exploiting multi-task learning methods to model visual saliency simultaneously with the bottom-up and top-down factors, the lowest layer can effectively detect salient objects in an image. The second layer exploits a simple yet effective learning approach to generate two complementary maps from several raw saliency maps, which then can be utilized to segment the salient objects precisely from a complex scene. For the third layer, we have also implemented an unsupervised approach to automatically discover general objects from large image set by pairwise matching with local invariant features. Afterwards, visual dictionary construction can be implemented by using many state-of-the-art algorithms and tools available nowadays.

关键词： object recognition image understanding visual saliency salient object segmentation visual dictionary

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Parallel outlier detection using KD-tree based on MapReduce

Parallel outlier detection using KD-tree based on MapReduce

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2011 3rd IEEE International Conference on Cloud computing Technology and Science, CloudCom 2011

作者： He, Qing Ma, Yunlong Wang, Qun Zhuang, Fuzhen Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9780769546223

Distributed and Parallel algorithms have attracted a vast amount of interest and research in recent decades, to handle large-scale data set in real-world applications. In this paper, we focus on a parallel implementation of KD-Tree based outlier detection method to deal with large-scale data set. As one of the state-of-the-art outlier detection methods, KD-Tree based has been approved to be an effective algorithm. However, it still cannot process large-scale data set efficiently due to its serial implementation. Based on the current and powerful parallel programming framework - MapReduce, we propose to implement the parallel KD-Tree based outlier detection algorithm (e.g., PKDTree for short). Experimental results demonstrate the efficiency of PKDTree according to the evaluation criterions of scaleup, speedup and sizeup. © 2011 IEEE.

关键词： MapReduce

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