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检索条件"主题词=Detection algorithms"

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Real-time fire and flame detection in video

Real-time fire and flame detection in video

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： N. Dedeoglu B.U. Toreyin U. Gudukbay A.E. Cetin Bilkent University Ankara Turkey

The paper proposes a novel method to detect fire and/or flame by processing the video data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame and fire flicker are detected by analyzing the video in the wavelet domain. Periodic behavior in flame boundaries is detected by performing a temporal wavelet transform. Color variations in fire are detected by computing the spatial wavelet transform of moving fire-colored regions. Other clues used in the fire detection algorithm include irregularity of the boundary of the fire-colored region and the growth of such regions in time. All of the above clues are combined to reach a final decision.

关键词： Fires Wavelet analysis Wavelet domain Frequency Layout Wavelet transforms detection algorithms Cameras Monitoring Motion analysis

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Synchronous optical CDMA systems with mark-detection algorithm: APD noise and thermal noise

Synchronous optical CDMA systems with mark-detection algorit...

引用

International Conference on Communication Technology (ICCT)

作者： Li Ou Wu Jiangxing Lan Julong National Digital Switching System Engineering and Technological Research and Development Center Zhengzhou China

A new mark-detection algorithm for synchronous optical CDMA using modified prime sequence codes is proposed. Performance analysis shows that the bit error probability (BER) is significantly improved when using the mar... 详细信息

关键词： Optical noise Multiaccess communication Decoding Optical signal processing Optical receivers Interference Signal processing algorithms Performance analysis detection algorithms Error probability

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Automated detection of obstructive sleep-disordered breathing events using peripheral arterial tonometry and oximetry

Automated detection of obstructive sleep-disordered breathin...

引用

Computers in Cardiology (CinC)

作者： S.D. Pittman N. Tal G. Pillar A. Malhotra M.F. Hilton R.B. Fogel N. Ayas D.P. White Circadian Neuroendocrine Sleep Disorders Program Brigham Women's Hospital and Harvard Medical School Boston USA Itamar Medical Limited Caesarea Israel

Obstructive sleep-disordered breathing events terminate with increased sympathetic nervous system activity that may result in vasoconstriction. Peripheral arterial (PAT) is a non-invasive technique for detecting pulse volume, This study assessed the diagnostic potential of 2-channel recordings (PAT+pulse oximetry) to detect sleep-disordered breathing events and evaluated automated scoring of these respiratory events during known sleep. The authors studied 40 patients referred to the sleep lab with suspected OSA, comparing standard PSG with PAT+oximetry (all data recorded simultaneously). The PSG recordings were scored manually using standard criteria. Respiratory events were also scored using only recordings of PAT and pulse oximetry and an automated detection algorithm yielding a PAT-oximetry index (POI) of sleep disordered breathing. There was a significant correlation between PSG scored respiratory events and the automated POI score during all sleep (R=0.87, p<0.001), NREM sleep (R=0.87, p<0.001), anti REM sleep (R=0.90, p<0.001).

关键词： Event detection Sleep Immune system Fingers Medical diagnostic imaging Cardiology Hospitals USA Councils Sympathetic nervous system detection algorithms

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Target detection and Anti-Clutter Using Energy Priority Idea Based on 77-79 GHz Radar

Target Detection and Anti-Clutter Using Energy Priority Idea...

引用

IEEE International Conference on Information Communication and Signal Processing (ICICSP)

作者： Jiadong Pu Shaonan Li Chao Wang Zhiquan Zhou Xiang Feng School of information science and Engineering Harbin Institute of Technology Weihai Shandong China Beijing Institute of Control and Electronics Technology Beijing China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

In this paper, to accurately establish sea clutter model, we propose a 3-partitioned random multiplicative mechanism using multifractal theory to tackle the high-frequency radar sea clutter, which could extract feature factors from sea clutter data and verifies the multifractal features. Furthermore, we present a clutter energy priority SVD-OP (CEP-SVD-OP) based detection algorithm. In which, echo signals of the selected distance units are combined into a signal space, and processed by orthogonal projection idea. Then, the clutter suppression is performed again for all the distance units on the individual pulses after orthogonal projection. The singular values are utilized to determine the signal subspace and clutter subspace. After eliminating the clutter subspace, the signal is reconstructed using the Hankel matrix, and the detection-flow can be achieved. Simulations has demonstrated that CEP-SVD-OP algorithm obtains some superior performance in sea clutter suppression and target detection.

关键词： Radar clutter Signal processing algorithms Sea measurements Radar detection Object detection Millimeter wave radar Feature extraction Fractals Clutter detection algorithms

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A fuzzy logic-based speech detection algorithm for communications in noisy environments

A fuzzy logic-based speech detection algorithm for communica...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： A. Cavallaro F. Beritelli S. Casale Istituto di Informatica e Telecomunicazioni Universita Catania Catania Italy

In the field of mobile communications correct voice activity detection (VAD) is a crucial point for perceived speech quality, reduction of co-channel interference, power consumption in portable equipment. This paper shows that a valid alternative to deal with the problem of activity decision is to use methodologies like fuzzy logic, which are suitable for problems requiring approximate rather than exact solutions, and which can be presented through descriptive or qualitative expressions. The fuzzy voice activity detector (FVAD) proposed uses the same set of parameters adopted by the VAD in Annex B to ITU-T G.729 and a set of six fuzzy rules automatically extracted through supervised learning. Objective and listening tests confirm a significative improvement respect the traditional methods above all for low signal-to-noise ratios.

关键词： Fuzzy logic Speech detection algorithms Mobile communication Fuzzy sets Interchannel interference Energy consumption Detectors Supervised learning Testing

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A Comparative Study of QRD-M detection and Sphere Decoding for MIMO-OFDM Systems

A Comparative Study of QRD-M Detection and Sphere Decoding f...

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Yongmei Dai Sumei Sun Zhongding Lei Institute for Infocomm Research Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore

We present a comparative study of two tree search based detection algorithms, namely, the M-algorithm combined with QR decomposition (QRD-M) and the sphere decoding (SD) algorithms, for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. First, we show that nodes ordering before and during the tree search are important for both algorithms. With appropriate ordering, QRD-M can improve detection performance significantly and SD can reduce decoding complexity substantially. Then we compare the implementation complexity of the two algorithms, in terms of the number of nodes required to search or the required number of multiplications to achieve maximum likelihood detection performance. It is interesting to show that the average complexity of SD is lower than that of QRD-M, whereas the worst case complexity of SD is much higher than that of QRD-M

关键词： Maximum likelihood decoding Receiving antennas detection algorithms MIMO OFDM Maximum likelihood detection AWGN Matrix decomposition Transmitting antennas Scattering

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DST-based iterative detection-decoding for MIMO systems

DST-based iterative detection-decoding for MIMO systems

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Jinhuan Xia Tiejun Lv Weidong Liu Key Laboratory of Universal Wireless Communications Ministry of Education School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

This paper proposes a Dempster-Shafer theory (DST)-based iterative detection-decoding scheme in multiple-input multiple-output (MIMO) systems. On the one hand, the detection algorithm takes advantage of the characteristics of DST processing uncertainty, improving detection performance. On the other hand, during iterations the detection scheme allows for the soft information outputs from the decoder when combining multiple soft information sources, leading to the performance improvement. Moreover, compared with a related DST-based iterative detection scheme, the proposed algorithm has lower complexity, and its detection performance is closer to that of the optimal detection approach. Simulation results demonstrate the validity of the proposed scheme.

关键词： MIMO Detectors Iterative decoding Transmitting antennas Wireless communication Uncertainty Receiving antennas Systems engineering education detection algorithms Maximum likelihood decoding

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Nonnegative Matrix Factorization Algorithm with Two Attribute Matrices for Community detection

Nonnegative Matrix Factorization Algorithm with Two Attribut...

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IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)

作者： Yingying Zhao Hui Xu Cheng Zhou School of Information Science and Technology Nantong University Nantong China

ISBN: (数字)9781728170053

ISBN: (纸本)9781728170060

Community detection based on nonnegative matrix factorization (NMF) has the advantages of clear physical meaning, simple calculation and strong interpretability, but its accuracy needs to be improved. For this reason, this paper puts forward the community detection algorithm using NMF with two attribute information matrices(2AMNMF). First of all, two attribute information matrices are created from calculating similarity between the entity and entity, then one of which is decomposed into two non-negative matrices by NMF, another attribute information matrix is added into objective function for optimization. Evaluation is made by modularity Q. The experiment results show that the algorithm of community detection we proposed is more accurate than the original NMF algorithm.

关键词： Motion pictures Linear programming Matrix decomposition Partitioning algorithms Approximation algorithms Symmetric matrices detection algorithms

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Temporal and spatial soil moisture change pattern detection using multi-temporal Radarsat SCANSAR images

Temporal and spatial soil moisture change pattern detection ...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Yang Hu Jiancheng Shi Li Zhen Huadong Guo Zhongjun Zhang Laboratory of Remote Sensing Information Sciences Insititute of Remote Sensing Applications Chinese Academy and Sciences Beijing China

ISBN: (纸本)0780379292

The research has been done to derive the soil moisture information at local scale by using single polarization, single frequency sensors such as ERS-1/2, Radarsat, and JERS-1. There is a need to develop a technique to estimate soil moisture information from these currently available data sources at both regional and local scales. In this study, a soil moisture change detection algorithm was developed for using the multi-temporal 50m resolution Radarsat SCANSAR image data. It was based on the theory model analysis results, with the correction of vegetation and incident angle effects. The relative soil moisture change value can be derived. The results were compared with in-situ measured soil moisture data from 3 different sampling sites at study area. The validation indicated our algorithm with RMSE error of 0.44 in estimating soil moisture change ratio.

关键词： Soil moisture Radar detection Polarization Frequency detection algorithms Image resolution Vegetation mapping Area measurement Moisture measurement Soil measurements

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A Robust Graph-Based Algorithm for detection and Characterization of Anomalies in Noisy Multivariate Time Series

A Robust Graph-Based Algorithm for Detection and Characteriz...

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IEEE International Conference on Data Mining Workshops (ICDM Workshops)

作者： Haibin Cheng Pang-Ning Tan Christopher Potter Steven Klooster Michigan State University Lansing MI USA NASA Ames Research Center Moffett Field CA USA California State University CA USA

detection of anomalies in multivariate time series is an important data mining task with potential applications in medical diagnosis, ecosystem modeling, and network traffic monitoring. In this paper, we present a robust graph-based algorithm for detecting anomalies in noisy multivariate time series data. A key feature of the algorithm is the alignment of kernel matrices constructed from the time series. The aligned kernel enables the algorithm to capture the dependence relationship between different time series and to support the discovery of different types of anomalies (including subsequence-based and local anomalies). We have performed extensive experiments to demonstrate the effectiveness of the proposed algorithm. We also present a case study that shows the utility of applying our algorithm to detect ecosystem disturbances in Earth science data.

关键词： Robustness Kernel Ecosystems Vegetation Data mining Geoscience Telecommunication traffic detection algorithms Earth Conferences

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