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检索条件"主题词=Detection algorithms"

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A Study of algorithms for Detecting Pulsed Sinusoidal Interference in Microwave Radiometry

A Study of Algorithms for Detecting Pulsed Sinusoidal Interf...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Joel T. Johnson Lee C. Potter Department of Electrical and Computer Engineering Ohio State Uinversity Columbus OH USA

The performance of four algorithms for detecting the presence of short pulsed sinusoidal interference in microwave radiometry is compared. The pulsed sinusoidal interference sources considered have unknown frequency, initial phase, amplitude, arrival time, and duration. Statistical properties of three of the algorithms can be determined analytically, although numerical integrations are required in some cases in order to compute the obtained probabilities of detection. The performance of the fourth algorithm was evaluated using Monte Carlo procedures. Results show that three of the algorithms have a performance that is roughly comparable for the cases considered, while the fourth yields reduced sensitivity.

关键词： Microwave radiometry Radiofrequency interference Frequency Pulse measurements detection algorithms Narrowband Random variables Extraterrestrial measurements Fourier transforms Algorithm design and analysis

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Reference Point Determination in Enhanced Fingerprint Image

Reference Point Determination in Enhanced Fingerprint Image

引用

International Symposium on Computational Intelligence and Design, ISCID

作者： JuCheng Yang DongSun Park Sook Yoon Department of Electronics and Information Engineering Chonbuk National University of Korea Jeonju Jeonbuk South Korea Major in Multimedia Engineering School of Information Engineering Mokpo National University Jeonnam South Korea

Accurate reference point detection is crucial for features extraction to improve the performance of fingerprint recognition system. Many reference-point detection algorithms work well in good-quality fingerprints, however, most fail to correctly locate the reference point in poor-quality fingerprints with cracks and scars, dry skin, or poor ridge-and-valley contrast. In this paper, we propose a method to detect a reference point in an enhanced fingerprint image by using a novel and effective enhancement approach. It preserves true ridges and valleys, and it also repairs the damaged ridges and valleys, which in turn helps to detect reference points reliably and accurately. Experimental results on public databases show that the proposed method has better results when a reference point detection method applies to the enhanced image, than to the original image.

关键词： Fingerprint recognition Image matching Filters Reliability engineering Computational intelligence Design engineering Feature extraction detection algorithms Skin Image databases

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Evaluation of Road Marking Feature Extraction

Evaluation of Road Marking Feature Extraction

引用

International Conference on Intelligent Transportation

作者： Thomas Veit Jean-Philippe Tarel Philippe Nicolle Pierre Charbonnier LIVIC (INRETS-LCPC) Versailles France LCPC Paris France LCPC Nantes Bouguenais France LRPC Strasbourg (ERA 27 LCPC) Strasbourg France

This paper proposes a systematic approach to evaluate algorithms for extracting road marking features from images. This specific topic is seldom addressed in the literature while many road marking detection algorithms have been proposed. Most of them can be decomposed into three steps: extracting road marking features, estimating a geometrical marking model, tracking the parameters of the geometrical model along an image sequence. The present work focuses on the first step, i.e. feature extraction. A reference database containing over 100 images of natural road scenes was built with corresponding manually labeled ground truth images (available at http://***/en/produits/ride/). This database enables to evaluate and compare extractors in a systematic way. Different road marking feature extraction algorithm representing different classes of techniques are evaluated: thresholding, gradient analysis, and convolution. As a result of this analysis, recommendations are given on which extractor to choose according to a specific application.

关键词： Feature extraction Roads Solid modeling Image databases Spatial databases detection algorithms Image sequences Layout Algorithm design and analysis Convolution

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A Universal Systolic Array for Linear MIMO detections

A Universal Systolic Array for Linear MIMO Detections

引用

IEEE Conference on Wireless Communications and Networking

作者： Jingming Wang Babak Daneshrad Augusta Technology Inc. Santa Clara CA USA Electrical Engineering Department University of California Los Angeles CA USA

The detection of MIMO signals presents a formidable computation challenge due to the inherent complexity incurred by matrix-type wireless fading channels. To reduce the hardware cost, linear MIMO detection algorithms can be used instead of non-linear space-time processing. Conventionally, adaptive linear algorithms such as RLS and LMS are treated separately in implementation from matrix inversion based algorithms such as ZF and MMSE. In this paper, we identify the similarities between the QR-decomposition based forms of RLS and MMSE MIMO detection and present a unified systolic array implementation that can accommodate both. In the meanwhile, some subtle but important differences also exist. As a result, the unified array must have a size of N r x N r (assuming N t les N r ) and both array inputs and array operations need to be controlled accordingly. As special cases of RLS and MMSE, LMS and ZF can also be realized in the same array, making the array flexible enough for all linear MIMO detection algorithms.

关键词： Systolic arrays MIMO Resonance light scattering detection algorithms Least squares approximation Signal detection Fading Hardware Costs Size control

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Analysis of Historical Artistic Documentaries

Analysis of Historical Artistic Documentaries

引用

International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS

作者： Matthias Zeppelzauer Dalibor Mitrovic Christian Breiteneder Institute of Software Technology and Interactive Systems University of Technology Vienna Vienna Austria

The paper introduces a novel interdisciplinary project addressing the analysis of historical artistic films. The type of employed material has not been subject to automatic analyses, so far. It poses challenges in all areas of content-based analysis and retrieval due to its complex temporal structure and due to substantial degradations. We propose robust features and a method for shot cut detection for this material that outperforms established techniques.

关键词： Gunshot detection systems detection algorithms Image analysis Paper technology Content based retrieval Degradation Robustness Broadcasting Material storage Liquids

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EXIT-chart-based power allocations for superposition multilevel coding systems

EXIT-chart-based power allocations for superposition multile...

引用

International Conference on Communications and Networking in China (CHINACOM)

作者： Xiuni Wang Xiao Ma Department of Electronics and Communication Engineering Sun Yat-sen University Guangzhou Guangdong China

Multilevel coding with sigma-mapping is one simple way to obtain coding gain as well as shaping gain, while power-allocation, by allocating proper powers to different levels, can facilitate the iterative decoding/detection algorithms. In this paper, we utilize the EXIT chart to calculate the convergence threshold for each level by treating the signals from other levels as Gaussian noise. Based on the threshold, we propose a simple power allocation scheme. Numerical results show that the proposed EXIT-based power allocation scheme improves the performance when compared with the existing Gaussian approximation power allocation scheme while still keeping a reasonable complexity.

关键词： Convergence Iterative decoding Gaussian approximation Parity check codes Power engineering and energy Sun detection algorithms AWGN Bit error rate Power system modeling

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Robust and Stable Locally Linear Embedding

Robust and Stable Locally Linear Embedding

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Jing Wang The School of Information Science and Technology Huaqiao University Quanzhou China

Recently, some manifold learning methods have aroused a great of interest in many fields of information processing. However, these manifold learning methods are not robust against outliers. In this paper, an outlier detection algorithm is proposed, and we propose a robust and stable locally liner embedding(RSLLE) algorithm by introducing multiple linearly independent local weight vectors to represent the local geometry for each neighborhoods of clean data points. For the outlier points, RSLLE learns the local geometry by using a single weight vector. Numerical examples are given to show the improvement and efficiency of the proposed algorithm.

关键词： Robustness Learning systems Space technology detection algorithms Geometry Vectors Fuzzy systems Information science Information processing Clustering algorithms

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Identification of Feature Denial of Services

Identification of Feature Denial of Services

引用

International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST)

作者： Rui Gustavo Crespo Technical University of Lisbon-Dept Electrical Engineering Computers/INESC-ID Lisboa Portugal

Internet applications, such as Email, VoIP and WWW, have been enhanced with many features. However, the introduction and modification of features may result in undesired behaviors, and this effect is known as feature interaction-FI. FI resolution may be implemented by a Feature Manager, which is directed by a set of interdiction formulas. On the other hand, the approach by interdiction may eliminate all features candidate for execution, and this result on a feature denial of service. In this paper we analyze how feature denial of service can be detected, with a design stage algorithm. The detection algorithm has a time complexity of the quadratic of interdiction formulas.

关键词： Computer crime Electronic mail Application software World Wide Web Mobile computing Algorithm design and analysis Web server detection algorithms Web and internet services Circuits

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DIG: Rapid Characterization of Modern Hard Disk Drive and Its Performance Implication

DIG: Rapid Characterization of Modern Hard Disk Drive and It...

引用

International Workshop on Storage Network Architecture and Parallel I/Os (SNAPI)

作者： Jongmin Gim Youjip Won Jaehyeok Chang Junseok Shim Youngseon Park Department of Electrical and Computer Engineering Hanyang University South Korea Storage Lab Samsung Electronics Company Limited South Korea

In this work, we develop novel disk characterization suite, DIG (disk geometry analyzer), which allows us to rapidly extract and to characterize the key performance metric of modern hard disk drive. Development of this tool is accompanied by thorough examination of four off-the-shelf hard disk drives. DIG consists of three key ingredients: O(1) track boundary detection algorithm,O (log n) zone boundary detection algorithm, and hybrid sampling based seek time profiling. We particularly focus on addressing the scalability aspect of disk characterization. With DIG, we are able to extract key metrics of hard disk drive within 3-20 min. DIG allows us to determine the sector layout mechanism of the underlying hard disk drive, e.g. hybrid serpentine, cylinder serpentine and surface serpentine, and to build complete sector map from LBN to three dimensional space of (cylinder, head, sector). Examining the disks with DIG, we found a number of important observations. Modern hard disk drive puts great emphasis on minimizing the head switch overhead. This is done via sector layout mechanism and and surface serpentine and hybrid serpentine is the typical way of avoiding it. Legacy disk seek time model leaves much to be desired to be used in modern hard disk drive especially in short seeks (less than 5000 tracks).

关键词： Hard disks Switches Delay detection algorithms Geometry Sampling methods Engine cylinders Disk drives Circuits Target tracking

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Structural Damage Localization Using Limited Test Static Data

Structural Damage Localization Using Limited Test Static Dat...

引用

International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Xiao-zhen Chen Xue-jun Zhang 1.The department of Civil Engineering Nanyang instituteof Science & Technology 2.Nanyang RG Petro-Machinery(Group)Co.Ltd. Nanyang China 473004 The department of Civil Engineering Nanyang institute ofScience & Technology Nanyang China 473004

A new structural damage localization indicator is proposed to localize the damage of the structure using limited test static displacement in this paper. The static displacement curvature assurance coefficient (SDCAC) is defined and used to locate damages of the structure when the measured data is sparse. A numerical example of a cantilever beam with single or multiple damages is used to examine the capability of the proposed parameter to localize damages. The factors of measurement noise and incomplete test data are also discussed. The numerical results show that the curvature assurance coefficient (SDCAC) is very sensitive to damage and can be used to locate the damage in the structure regardless of the number of measured displacement. This proposed method, which only requires limited static test data to reduce the damage area until the damage element is located, has wide applications in structural damage detection.

关键词： Testing Noise measurement Civil engineering Displacement measurement Structural beams Capacitive sensors Size measurement Roentgenium Equations detection algorithms

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