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检索条件"主题词=detection algorithms"

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A novel abnormal ECG beats detection method

A novel abnormal ECG beats detection method

引用

International Conference on Computer and Automation Engineering, ICCAE

作者： Aiguang Li Shaofeng Wang Huabin Zheng Lianying Ji Jiankang Wu Graduate University of Chinese Academy of Sciences China China-Singapore Institute of Digital Media Singapore

ISBN: (纸本)9781424455690

Automatic detection of life threatening abnormal beats in electrocardiogram (ECG) signal is of importance in many healthcare applications. The ECG beat signal variations in both shape and time impose great challenges to automatic detection tasks. To address those challenges and for high accuracy automatic detection, we present here a two stage abnormal beats detection algorithm. Normal and abnormal beat types are represented by templates which are selected from training data using clustering. Multiple templates for each beat type well represent the distribution of the data and allow nonlinearity of the discrimination. Critical features are extracted for both templates and incoming beat signals in discrete wavelet transform domain. The template matching is carried out using time invariant dynamic time warping (DTW). For those the DTW distance cannot provide sharp discrimination, an additional stage of verification is invoked to further check among those types having small distance with the incoming beat, based on ECG wave's time interval features. The algorithm is tested on a large data set (23 records containing 28114 normal beats and 4633 abnormal beats) and achieves an accuracy of 97.24%.

关键词： Electrocardiography Discrete wavelet transforms Medical services Shape detection algorithms Training data Feature extraction Data mining Wavelet domain Testing

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An Algorithm of Collision detection Based on Hybrid Model

An Algorithm of Collision Detection Based on Hybrid Model

引用

International Conference on Computational Intelligence and Security

作者： Xiaofeng Feng Xiong Shi Jun Chen College of Naval Architecture and Power Naval University of Engineering Wuhan China Department of Electrical & Information Engineering Wuhan Polytechnic University Wuhan China

This paper proposed an algorithm of collision detection based on a hybrid model which was different from other collision detection model. In this model, different box was used according to different occasion. And the algorithm of intersection calculation between bounding boxes was analyzed and finally the optimization of collision detection based on the hybrid model was gained.

关键词： Solid modeling Feature extraction Face Virtual environment detection algorithms Algorithm design and analysis Data structures

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Horizon detection in foggy aerial image

Horizon detection in foggy aerial image

引用

International Conference on Image Analysis and Signal Processing, IASP

作者： Hong-Zhao Yuan Xiu-Qiong Zhang Zi-Liang Feng College of Computer Sichuan University Chengdu China Anyang Teachers College Anyang China

Vision-based automatically landing is important for micro Unmanned Aerial Vehicles (UAVs). Horizon is a very useful clue. Most of the existing solutions for the problem can get accurate results in clear weather. However, for some images shoot in extreme environmental conditions like foggy or cloudy sky these methods are difficult in identifying the horizon correctly. In this paper, we propose a robust, vision-based horizon detection algorithm fit for this condition. The algorithm we put forward is based on a dark channel prior, which describes the depth of haze naturally. The horizon can be easily determined in dark channel property space. We then verify our vision-based horizon detection algorithm with real flying data. The results indicate that the algorithm is robust to heavy foggy weather conditions. This algorithm can also be useful in synthetic vision system.

关键词： Unmanned aerial vehicles Cameras Robustness detection algorithms Military aircraft Educational institutions Computer vision Testing Costs Image edge detection

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Auto-adaptive harris corner detection algorithm based on block processing

Auto-adaptive harris corner detection algorithm based on blo...

引用

URSI International Symposium on Signals, Systems, and Electronics (ISSSE)

作者： Shizhe Shen Xiaolong Zhang Wei Heng School of Information Science and Engineering South-East University Nanjing China

To eliminate the problems of extracting false corners and losing information of real corners and overcome the difficulty in finding a universal threshold in the non-maximal inhibition for the processing of all pictures in the Harris corner detection algorithm, an auto-adaptive threshold is introduced in this paper in order to generate more accurate corners. In addition, a method of block processing to divide an image into several blocks and process each block independently is proposed to ensure that the corners detected are evenly distributed in the image without clustering and thus eliminate the possibility that some corners may be lost because of the sharp contrast in gray scale in different parts of the image. Experimental results showed that this improved algorithm outperformed traditional and previous methods both in accuracy and evenness of distribution of detected corners.

关键词： Pixel detection algorithms Correlation Computer vision Image edge detection Calibration Image color analysis

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Markov Chain Monte Carlo MIMO detection for Systems with Imperfect Channel State Information

Markov Chain Monte Carlo MIMO Detection for Systems with Imp...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Martin Senst Gerd Ascheid Institute of Integrated Signal Processing Systems RWTH Aachen University Aachen Germany

ISBN: (纸本)9781424425181;9781424425198

The problem of data detection in MIMO systems is usually studied under the assumption of perfect channel knowledge at the receiver. In practice, however, only a (potentially very poor) estimate of the channel is available. It has been shown that detection algorithms which take the unreliability of the channel estimate into account can significantly outperform their mismatched counterparts (i.e., detectors which use the estimate in lieu of the true channel matrix). In this paper, we extend the Markov Chain Monte Carlo (MCMC) MIMO detector to the case of imperfect channel knowledge. Due to the low complexity of the MCMC algorithm, this technique is also applicable in systems where brute force approaches are computationally infeasible.

关键词： Monte Carlo methods MIMO Channel state information Detectors detection algorithms Signal processing algorithms Computational complexity Niobium Transmitting antennas Fading

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On algorithm for outliers detection in the process of mining cognitive maps based on data resources

On algorithm for outliers detection in the process of mining...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Zhuang Chen Guo Zhang Huageng Tian College of Computer Science and Engineering Chongqing University of Science and Technology Chongqing China

Cognitive maps, one of the hot topic in the research of computational intelligence, have been widely used in knowledge representation and decision-making. In mining of cognitive maps on the basis of data resources, outlier data seriously affect the accuracy of cognitive maps. Therefore, this paper, based on the analysis of traditional ones, proposes a new outlier data detection algorithm. The algorithm firstly partitions the entire data set with the hierarchical clustering algorithm, then rules out the partitions that do not contain abnormal data, and finally detects outlier data in the remaining partitions. Experimental results show that the algorithm, compared with the traditional ones, reduces the required amount of the computer memory and enhances efficiency.

关键词： Clustering algorithms Algorithm design and analysis Partitioning algorithms Nearest neighbor searches Data mining detection algorithms Databases

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Spatio-temporal correlation based outlier detection algorithm in sensor network

Spatio-temporal correlation based outlier detection algorith...

引用

International Conference on Computer and Automation Engineering, ICCAE

作者： Min Wang Zhongbo Wu School of Mathematics & Computer Science Xiangtan University Xiangfan China

ISBN: (纸本)9781424455690

Sensor nodes are prone to produce faulty sample data because of poor quality and harsh environment. In this paper we put forward STCOD algorithm which uses spatial and temporal correlations between sensor nodes to distinguish faulty sample data from outlier data. STCOD algorithm includes three child algorithms which are outlier self-detection algorithm, neighbor-voting algorithm and outlier confirming algorithm. Experiments show that STCOD outperforms majority voting algorithm.

关键词： detection algorithms Voting Wireless sensor networks Mathematics Computer science Monitoring Wireless communication Batteries Computer networks Filters

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Lane boundary detection based on parabola model

Lane boundary detection based on parabola model

引用

International Conference on Information and Automation (ICIA)

作者： Jianfeng Wang Fangde Gu Chao Zhang Guanzhe Zhang Department of Automobile Engineering Harbin Institute of Technology WeiHai Shandong China

To improve lane detection accuracy under different road conditions for intelligent vehicles, we propose a new kind of lane boundary detection algorithm based on parabola model. The innovation lies in the algorithm is the combination of parabola model of road and the Hough transform. In this paper we proposed some constraints on the road model, making the algorithm with a high anti-interference performance. The algorithm consists of the initial road edge detection and the follow-up tracking of road borders. In the initial edge detection the Hough transform is used. In the path tracking we use mid-to-side strategy to detect the road boundary points, then use parabola model to fit the boundaries of the road. After testing, we can see that this algorithm has high efficiency and resistance to interference.

关键词： Roads Intelligent vehicles Image edge detection Vehicle detection Automotive engineering Boundary conditions Automation detection algorithms Technological innovation Testing

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Image Tamper detection Algorithm Based on Radon and Fourier-Mellin Transform

Image Tamper Detection Algorithm Based on Radon and Fourier-...

引用

2010 IEEE International Conference on Information Theory and Information Security(2010 IEEE 国际信息论与信息安全会议)

作者： Tao Jing Xinghua Li Feifei Zhang Electronics & Information Engineering Beijing Jiaotong University Beijing China

Copy and Move is a very common way of image tampering. In order to detect images through rotation, scaling and other operations quickly and efficiently, image tamper detection based on Radon and Fourier-Mellin transform is presented. First calculate the testing image blocks through the Radon and Fourier-Mellin transform, and then extract the characteristic value of transformation results, finally obtain the value of the correlation moment features. It does not require binarization and normalization of gray image, but directly forms the graphics Radon transform and Fourier-Mellin transform to extract invariant features of the results. The theoretical analysis and experimental results show that the proposed algorithm is better than detection method based on orthogonal moments.

关键词： Transforms Feature extraction Algorithm design and analysis Noise detection algorithms Partitioning algorithms Digital images

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A Redundancy detection Algorithm for Complex Environment in Wireless Sensor Networks

A Redundancy Detection Algorithm for Complex Environment in ...

引用

International Conference on Future Networks, ICFN

作者： Wei Qu Jinkuan Wang Zhigang Liu School of Information Science and Engineering Northeastern University Shenyang China

ISBN: (纸本)9781424456666;9780769539409

Due to the imbalance of the node's energy consumption the sensing radius of node is different between each other, and in view of this complex application environment, a redundancy detection algorithm is proposed. The corresponding redundancy detection criteria are proposed under Boolean sensing model and probability sensing model and the reasonableness of the criteria are analyzed. Under the condition of maintaining the coverage quality of original network, the algorithm can detect the redundant node more adequately. Simulation results show that, in the complex environment when the nodes have the same sensing radius under Boolean sensing model, the algorithm activates less node in work and the redundancy detection is thorough, and when the nodes have different sensing radius, the algorithm detects the redundant node adequately and efficiently still; the performance of the algorithm under probability sensing model is stable, and it is easier and more accurate compared with grid-based method.

关键词： detection algorithms Wireless sensor networks

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