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检索条件"主题词=Detection algorithms"

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A heuristic approach to optimization of the decision-directed maximum-likelihood feedforward carrier phase error detection algorithm

A heuristic approach to optimization of the decision-directe...

引用

IEEE Symposium on Computers and Communications (ISCC)

作者： R. Danesfahani T. Jeans Faculty of Engineering University of Kashan Kashan Iran School of Electronics Computing and Mathematics University of Surrey Guildford Surrey UK

Using a heuristic approach, the performance of the self-synchronized decision-directed maximum-likelihood (ML) feedforward (FF) carrier phase error detection (PED) algorithm has been optimized. Compared to the original algorithm, it has been shown that for uncoded single channel (O)QPSK modems the optimized algorithm has a better phase error variance at low to medium signal to noise ratio (SNR). Further simulations have shown that the noise performance of the optimized algorithm at medium to high SNRs is superior to that of some well-known algorithms; the noise performance approaches the Cramer-Rao bound (CRB). This proves that the optimized algorithm has less tracking jitter at medium to high SNR which is a desirable feature in improving the BER performance.

关键词： Maximum likelihood detection detection algorithms Filters Phase detection Signal to noise ratio Data mining Maximum likelihood estimation Modems Error correction Phase estimation

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Energy-aware objects abandon / removal detection

Energy-aware objects abandon / removal detection

引用

IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Alessandro Lanza Michele Magno Davide Brunelli Luigi Di Stefano Luca Benini DEIS University of Bologna Bologna Italy

A major issue for video surveillance embedded systems is the need to continuously perform a number of highly demanding operations even when the analyzed scene does not show peculiar or interesting features, so that power consumption is a critical issue. In this paper we present a low-power multimodal embedded video surveillance system aimed at detecting objects abandoned/removed in/from a static monitored scene. Energy-awareness is achieved by means of an efficient and scalable objects abandon/removal detection algorithm, a Linux governor that controls CPU frequency and operating mode so as to establish an optimal trade-off between fulfilling the application efficiency-accuracy requirements and maximizing battery life and, finally, a pyroelectric infrared sensor that allows to wake up the CPU only when video processing is actually needed.

关键词： Hardware detection algorithms Accuracy Video surveillance Cameras Linux

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Video cut detection in E-Learning applications

Video cut detection in E-Learning applications

引用

International Symposium on Signal Processing and Its Applications (ISSPA)

作者： S. Koohi M. Babagoli T. Lotfi S. Kasaei Sharif University of Technology Tehran Iran

ISBN: (纸本)9781424407781;1424407796

Real-time video transmission is considered as an important means for information distribution. One major application of it is e-learning, which requires real-time video processing and transmission. On the other hand, the process of cut detection is a fundamental component in automatic video browsing, indexing, searching, retrieval, and archiving. This paper introduces a new video cut detection technique that uses dominant lines and angles extracted from edge information of the video contents. To the best of our knowledge, it is the first works done for cut detection in e-learning application. This method is compatible with our applicationpsilas requirements and has a low complexity and high speed. We have compared the performance of our proposed method against three established techniques and have evaluated the results using different video sequences.

关键词： Electronic learning Cameras Gunshot detection systems Change detection algorithms Indexing Video sequences Algorithm design and analysis detection algorithms Lighting Robustness

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Exploiting the polarimetric information for the detection of ship targets in non-homogeneous SAR images

Exploiting the polarimetric information for the detection of...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： M. Sciotti D. Pastina P. Lombardo Department INFOCOM University of Roma La Sapienza Rome Italy

Ship detection in polarimetric SAR images of non-homogeneous sea areas is considered. We demonstrate the impact of non-homogeneous sea features on the false alarm rate and the need of extracting the image structure. We thus introduce polarimetric segmentation procedures that cooperate with high-resolution polarimetric detection features for the control of the false alarms. Different polarimetric segmentation-plus-detection procedures are tested over real data to devise the appropriate method to exploit the polarimetric information.

关键词： Marine vehicles Image segmentation Detectors Testing Data mining Computer vision Sea surface detection algorithms Image edge detection Surveillance

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Change detection on SAR images by using a parametric estimation of the Kullback-Leibler divergence

Change detection on SAR images by using a parametric estimat...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： J. Inglada CNES CNES French Space Agency DSO/OT/QTIS Toulouse France

Presents a method for performing change detection using a pair of SAR images acquired at different dates. The main difficulty with SAR images is the presence of speckle noise which may produce noisy change images if they are acquired with slightly different angles. The technique proposed in the present paper uses a parametric estimation of the probability distributions locally in each image as a characterization of the surfaces. The change is measured as a distance between these probability laws. The dissimilarity measure between the statistical distributions used here is a symmetric version of the Kullback-Leibler divergence.

关键词： Statistical distributions Speckle Radar detection Distributed computing Probability distribution Optical noise Laser radar Radar imaging detection algorithms Adaptive optics

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Study on an Improved Single-phase Harmonic Current detection Algorithm

Study on an Improved Single-phase Harmonic Current Detection...

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International Conference on Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM)

作者： Zujun Ding Sen Wang Zhen Guo Guang Zeng Faculty of Electronic and Electrical Engineering Huaiyin Institute of Technology China Electrical Department Xi'an University of Technology Xi'an China

Bases on present harmonic detection algorithms, single-phase load current is decomposed and a novel single-phase current detection algorithm, which is simple, reliable, response quickly and favors the hardware realization, is proposed, in order to solve complexity of algorithm and slow response of common used single-phase harmonic detection methods. Meanwhile, as the method need to use low pass filter, an improved method is is analysed. By increasing time delay unit, the effect of 2nd harmonic was eliminated, and the cut-off frequency of the low-pass filter was increased without adding the filter order. The response time of improved detection was shorten about half period. Correctness and validity of the proposed method were verified through simulating and experiment.

关键词： Power harmonic filters Harmonic analysis detection algorithms Active filters Cutoff frequency Filtering theory

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Improving the Two-stage detection of Cyberattacks in SDN Environment Using Dynamic Thresholding

Improving the Two-stage Detection of Cyberattacks in SDN Env...

引用

International Conference on Ubiquitous Information Management and Communication (IMCOM)

作者： Tao Wang Yaokai Feng Kouichi Sakurai Kyushu University Fukuoka Japan

ISBN: (数字)9781665423182

ISBN: (纸本)9781665446198

In recent years, the DDoS (Distributed Denial of Service) attack continues to be one of the most dangerous threats even in the SDN (Software Defined Networking) environment. Many approaches have been proposed to deal with the DDoS attacks in the SDN environment. Among those approaches, the two-step detection, in which a trigger mechanism is added before the detection algorithm is called, is gaining more and more attention. In other words, it is the trigger, not the resource-consuming detection algorithm, that constantly monitors network traffic. Thus, the detection algorithm is only called when it is triggered. However, in the existing two-step methods, the trigger uses a static threshold to determine whether or not to start the detection process. In practice, it is difficult to determine an appropriate threshold, and the threshold has a decisive effect on the frequency of the detection process being called and ultimately, it impacts detection performance. In this paper, we propose a self-feedback dynamic thresholding system in which the threshold used in the trigger is dynamically adjusted based on the previous results of trigger and detection. Experimental results and our discussion show that our proposal significantly reduces the number of calls to the resource-consuming detection algorithm with no sacrifice of detection result.

关键词： Telecommunication traffic Information management Proposals detection algorithms Computer crime Software defined networking Monitoring

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Matrix CUSUM: a recursive multi-hypothesis change detection algorithm

Matrix CUSUM: a recursive multi-hypothesis change detection ...

引用

IEEE International Symposium on Information Theory

作者： T. Oskiper H.V. Poor Department of Electrical Engineering Princeton University Princeton NJ USA

A new recursive M-ary change detection algorithm is described.

ISBN: (纸本)0780371232

A new recursive M-ary change detection algorithm is described.

关键词： detection algorithms Iron Distribution functions Change detection algorithms Delay Random variables Algorithm design and analysis Minimax techniques Statistical distributions Density functional theory

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Development of Real-time Defect detection Algorithm for High-speed Steel Bar in Coil(BIC)

Development of Real-time Defect Detection Algorithm for High...

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SICE Annual Conference

作者： Jong Pil Yun Youngsu Park Boyeul Seo Sang Woo Kim Se Ho Choi Chang Hyun Park Ho Mun Bae Hwa Won Hwang Department of Electrical and Electrical Engineering POSTECH Pohang Korea Instrumentation Research Group POSCO Pohang Korea

In steel manufacturing industry, as many advanced technologies increase manufacturing speed, fast and exact products inspection gets more important. This paper deals with a real-time defect detection algorithm for high-speed steel bar in coil (BIC). To get good performance, this algorithm has to solve several difficult problems such as cylindrical shape of a BIC, influence of light, many kinds of defects. Additionally, it should process quickly the large volumes of image for real-time processing since a steel bar moves at high speed. Therefore defect detection algorithm should satisfy two conflicting requirements of reducing the processing time and improving the efficiency of defect detection. This paper proposes an effective real-time defect detection algorithm that can solve above problems. And the algorithm is implemented by a high speed image processing system and will be applied to a practical manufacturing line. Finally, the performance of the proposed algorithm is demonstrated by experiment results

关键词： detection algorithms Steel Inspection Image processing Manufacturing industries Real time systems Support vector machines Support vector machine classification Instruments Coils

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A Power Theft detection Algorithm based on Electricity Usages

A Power Theft Detection Algorithm based on Electricity Usage...

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algorithms, High Performance Computing and Artificial Intelligence (AHPCAI), International Conference on

作者： Qiu Yan Zhang JiYuLei Dai Bin Liu ZhouBo Wu Honbo Zhou Electric Power Research Institute Guizhou Power Grid Co. Ltd Guiyang China GuiZhou UbiLink Co. Ltd. Guiyang China

Power theft detection has been a difficult issue for a long time, as part of the construction of the smart grid operation and maintenance management system (SOMS) of power facilities of village and town power supply stations (VTPS), a new algorithm based on user's electricity usage is proposed in this study. First, the regular curves of user power usage are computed and categorized based on the k-means clustering algorithm, then the Fréchet distance algorithm is used to calculate the discrepancies between the categorized curves and the target curve to identify suspicious users. Experiments shows the accuracy is 88.9%, which is a promising result.

关键词： Machine learning algorithms Power supplies High performance computing Clustering algorithms Smart grids detection algorithms Artificial intelligence

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