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检索条件"主题词=Detection algorithms"

共 7380 条记录，以下是321-330 订阅

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IEEE Conference on Decision and Control

作者： Y. K. Chan R. W. Edsinger Energy Technology Applications Boeing Computer Services Inc. Tukwila WA USA

A routine procedure is presented to generate random number series with specified power spectral density and composite Gaussian probability distribution functions. This can be used to simulate airplane sensor outputs in the synthesis and evaluation of failure detection schemes for redundant sensor sets. An example is given comparing some statistics of simulated sensor outputs to their observed counterparts.

关键词： Random number generation Airplanes detection algorithms Statistics Sensor phenomena and characterization Probability distribution Nonlinear filters Gas detectors Gaussian noise Gaussian processes

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A Review of Air-Tightness detection algorithms Based on Object detection

A Review of Air-Tightness Detection Algorithms Based on Obje...

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International Conference on Advanced Computer Theory and Engineering, ICACTE

作者： Wenyun Wang Zhenglong Ding Yingying Li Zhigeng Pan School of Electronic and Information Engineering Anhui Jianzhu University Hefei China School of Artificial Intelligence Nanjing University of Information Science and Technology Nanjing China

ISBN: (数字)9798331539887

ISBN: (纸本)9798331539894

The problem of air-tightness detection in industry has become the center of attention, and it is very important to introduce object detection for automatic and accurate detection of leakage locations. This paper is a review article. First, the typical models of object detection is introduced. Second, based on object detection, we analyzed air-tightness testing from the aspects of data enhancement, optimized feature representation, feature fusion, new backbone networks and training strategies, increased attention mechanisms, enhanced generalization and lightweight. Third, the existing air-tightness detection data sets and evaluation indexes based on object detection are introduced. Finally, we made a conclusion and proposed the outlook.

关键词： Training Industries Attention mechanisms Reviews Data enhancement Object detection Feature extraction Indexes detection algorithms Testing

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Analysis of Digital Signal detection algorithms Resistant to Electronic Environment Changes

Analysis of Digital Signal Detection Algorithms Resistant to...

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Ninth International Wrocław Symposium on Electromagnetic Compatibility

作者： Ch. Kabakchiev V. Behar Sofia - 1309 "ELECTRON" Institute

An analysis is presented of optimal algorithms for quasidetermined signals detection against narrowband stationary Gaussian noise at a different capacity of an a priori information about power and statistical characte... 详细信息

关键词： Noise Uncertainty Signal detection Probabilistic logic Fluctuations detection algorithms Shape Vectors Uncertain systems Signal to noise ratio

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Comparison of two detection algorithms for Pipeline Leaks

Comparison of two Detection Algorithms for Pipeline Leaks

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IEEE Conference on Control Technology and Applications (CCTA)

作者： O. Begovich A. Navarro E. N. Sanchez G. Besancon Research and Advanced Studies Center National Polytechnic Institute Guadalajara Jalisco Mexico Control System Departament (ex-LAG) GIPSA-lab ENSIEG Saint Martin d'Heres France

The aim of this paper is to compare two analytic detection algorithms for pipeline leaks in order to assess their effectivity. Parameters such as precision and velocity to detect and locate a leak, algorithm complexity, and application facilities are evaluated, with the purpose of finding the most useful algorithm for a future real-time implementation on a Mexican aqueduct.

关键词： detection algorithms Pipelines Leak detection Control systems Algorithm design and analysis Fluid flow measurement Pressure measurement Noise robustness Environmental economics Acoustic signal detection

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Geometric Congestion detection algorithms in the Speed-Flow and Flow-Density Spaces

Geometric Congestion Detection Algorithms in the Speed-Flow ...

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International IEEE Conference on Intelligent Transportation Systems

作者： Emily Moylan David Rey S. Travis Waller School of Civil and Environmental Engineering University of New South Wales Sydney NSW 2052 Australia

ISBN: (纸本)9781467365970

Many ITS applications rely on known attributes of the traffic conditions. One useful property is congestion state which allows for differential behaviour in the system when demand is below, at or above capacity. Congestion detection in certain common data types such as loop detectors is frequently and idiosyncratically addressed by many researchers and practitioners. A set of flexible, objective and robust methods would facilitate the comparison of congestion state across datasets, locations and times of day to better model the response of the system to ITS interventions. This work develops geometric congestion detection algorithms for use in speed-flow and flow-density space. The methods are applicable to any dataset comprised of vehicle flows and speeds (such as loop detector data). The speed-flow space algorithm attempts to identify clusters in speed-flow space based on effective capacity and a cut-off free flow speed. The flow-density diagram builds on the theory supporting the triangular fundamental diagram and classifies congestion based on a density cut-off. Both methods incorporate time-of-day selection. The methods are successful in identifying clearly congested or uncongested observations along a test corridor. In conjunction, the two methods are able to distinguish two regions of ambiguity associated with the transition from uncongested to congested and vice versa. The combination of the two methods offers a promising approach for quickly and robustly classifying observations from a variety of location-typologies into two, three or four traffic states depending on the application.

关键词： traffic conditions comparison application Loop detector detection algorithms Effective Capacity system behavior Dataset data types Traffic

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Evaluation and comparison of RFI detection algorithms

Evaluation and comparison of RFI detection algorithms

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Microwave Radiometry and Remote Sensing of the Environment, MICRORAD

作者： Janne Lahtinen Josu Uusitalo Teemu Ruokokoski Jukka Ruoskanen Harp Technologies Ltd Espoo Finland Finnish Defence Research Agency Riihimäki Finland

ISBN: (纸本)9781509029525

Anthropogenic Radio Frequency Interference (RFI) is an increasing problem in microwave remote sensing radiometry. Therefore, there is a growing interest on methods to detect and filter RFI. In this study, the performance of several different detection algorithms has been studied and compared to detect Continuous Wave (CW), QPSK modulated, and pulse modulated (with 0.1%, 1%, and 10% duty cycles) RFI. The mission scenario corresponds a spaceborne, polar-orbiting, conically scanning microwave radiometer. However, the qualitative results (e.g., the relative performances of algorithms) are applicable to other scenarios as well. It has been shown that RFI detection thresholds in 1 K range can be achieved in this scenario if complementary RFI detection algorithms can be incorporated in the system, e.g., in a digital RFI processor. Even 0.1 K level can be achieved for pulsed RFI with low duty cycles. Kurtosis and spectral kurtosis are effective in detecting pulsed RFI but not optimal in detecting constant envelope signals (such as CW or QPSK). Spectral Density Estimation and polarimetry, on the other hand, have a performance that is independent on the modulation or duty cycle of the RFI - they are sensitive to the average power.

关键词： Bandwidth Microwave radiometry detection algorithms Signal processing algorithms Receivers Microwave filters

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Comparison of different peak detection algorithms with regards to spectrometic fiber Bragg grating interrogation systems

Comparison of different peak detection algorithms with regar...

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International Symposium on Optomechatronic Technologies, ISOT

作者： Thomas Bodendorfer Mathias S. Muller Florian Hirth Alexander W. Koch Institute of Measurement Systems and Sensor Technology Technische Universität München Munich Germany

The resolution of many optical measurement systems employing ID or 2D array sensors (e.g. CCD-cameras) is limited by the pixel-resolution of the detector. Subpixel algorithms allow to exceed this limit. This paper aims at fiber Bragg grating interrogators, which acquire the sensor signal spectrometrically. The accuracy of measurement of these systems is strongly depending on the used algorithms. Five different algorithms for peak detection are described and compared in theory and experiment. Most of these algorithms can be found both in literature and in different software-libraries (e.g. MATLAB, LabVIEW...) To compare the different algorithms, a single fiber Bragg grating sensor was used to acquire data with a spectrometric measurement system consisting of a lD-CCD-line-array, a superluminescent light source and a reflection grating. The same data was fed the five algorithms, such that the output signals are comparable. To characterize the peak-search algorithms the standard deviation of the output data has been computed for different frame rates and variable wide regions of interest around a FBG-peak. As a result we can provida a concise recommendation which of the analyzed algorithms is suitable for an application in spectrometric fiber Bragg grating interrogators.

关键词： detection algorithms Spectroscopy Sensor arrays Optical sensors Optical arrays Sensor systems Fiber gratings Bragg gratings Signal resolution Detectors

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Correct two-phase and one-phase deadlock detection algorithms for distributed systems

Correct two-phase and one-phase deadlock detection algorithm...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： A.D. Kshemkalyani M. Singhal Department of Computer & Information Science Ohio State Uinversity Columbus OH USA

The authors propose a correction to the two-phase deadlock detection algorithm, which has been shown to be incorrect. They prove the correctness of the modified algorithm using a stable property detection technique that observes the system at an absolute time instant. They then use the notion of consistent cuts and vector time to give a simple one-phase deadlock detection algorithm.< >

关键词： System recovery detection algorithms Protocols Distributed computing Information science Clocks Control systems Broadcasting Phase detection Timing

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Reduced complexity multistage detection algorithms for satellite communications systems employing DS-CDMA

Reduced complexity multistage detection algorithms for satel...

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Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： C. D'Amours A. Mouzari School of Information Technology and Engineering University of Ottawa School of Information Technology and Engineering University of Ottawa Canada

In this paper we present two new, reduced complexity algorithms for multistage detection of direct sequence code division multiple access (DS-CDMA) signals in additive white Gaussian noise (AWGN) channels. The selective and successive selective multistage detection algorithms are designed to reduce the amount of computation performed by the conventional multistage detection algorithm while providing roughly the same bit error rate performance. Bit error rate performance of the new algorithms is determined via Monte Carlo simulation.

关键词： detection algorithms Satellite communication Multiaccess communication Bit error rate Multiuser detection Additive noise Computational modeling Multiple access interference Detectors Computational complexity

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Applications of robust failure detection algorithms to power systems

Applications of robust failure detection algorithms to power...

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International Conference on Intelligent Systems Applications to Power Systems (ISAP)

作者： K.J. Drake S.L. Campbell I.V. Andjelkovic B.L. Hannas K.A. Sweetingham Carderock Division Naval Surface Warfare Center Philadelphia USA North Carolina State University USA

As modelling and simulation become increasingly popular in the design process and as an alternative to expensive testing, fault detection methods based on model identification algorithms become more reliable as well as less expensive and easier to implement. In this paper we discuss the application of two active fault detection algorithms based on model identification to power systems. The algorithms are similar in theory though differ in implementation. The first is a direct optimization approach that handles more general systems and more varied constraints. It requires more sophisticated software but it's easily adapted to more than two models. The second algorithm is a constrained control approach that can be implemented on common math software, such as Matlab or Scilab, and handles model uncertainty. In both cases, the algorithms are free of false alarms depending upon the quality of the models used

关键词： Robustness detection algorithms Power systems Power system modeling Mathematical model Power system reliability Power system faults Power system simulation Electrical fault detection Fault diagnosis

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