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检索条件"主题词=Detection algorithms"

共 7359 条记录，以下是301-310 订阅

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Evaluation and performance comparison of power swing detection algorithms

Evaluation and performance comparison of power swing detecti...

引用

IEEE General Meeting Power& Energy Society

作者： H. Khoradshadi-Zadeh Dept. of Electr. Eng. Birjand Univ. Iran

This paper presents performance comparisons and evaluations of several power swing detection algorithms. Any sudden change in the configuration or the loading of an electrical network causes power swing between the load concentrations of the network. In order to prevent the distance protection from tripping during such conditions, a power swing blocking is utilized. The decreasing impedance, the Vcos/spl phi/ and the superimposed currents methods are conventional algorithms for power swing detection. In this paper, the behavior of these algorithms is evaluated. Different conditions have been generated by EMTDC software and voltage and current waveforms have been given to the power swing detectors. Operation of the power swing detectors has been investigated for different conditions and the operation of different algorithms are compared.

关键词： detection algorithms Protective relaying Power system relaying Impedance Power system simulation Voltage Power system protection Power system faults Power system modeling Circuit faults

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A comparative study of various community detection algorithms in the mobile social network

A comparative study of various community detection algorithm...

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Nirma University International Conference on Engineering (NUiCONE)

作者： Ankit Didwania Zunnun Narmawala IT Department Faculty of Technology Dharmsinh Desai University Nadiad Gujarat India Institute of Technology Nirma University Ahmedabad Gujarat India

Mobile social network is a type of delay tolerant network of mobile devices in which there is no end-to-end path available in advance for communication. It works on the principle of a store-carry-forward mechanism. The community is a very useful property of the mobile social network as humans are social animals and they like to live in a community. Such community structure enables efficient communication between devices carried by humans without any infrastructure. We have analyzed various community detection methods and identified those suitable for mobile social network. We have also analyzed various existing distributed community detection algorithms in mobile social networks based on important parameters like complexity and type of community detected. Such analysis will help in discovering strengths and shortcomings of various existing algorithms. As the mobile social network is self-organizing real network working on highly resource constraint mobile devices, it is necessary to enable each mobile device to detect its own community with minimal information, computation and space requirements. This is a very challenging task and very little work is done in it. So there is an immense opportunity available for research in this area.

关键词： Social network services Mobile computing Mobile communication Mobile handsets detection algorithms Clustering algorithms Delays

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Review Over Anomaly detection algorithms for Detecting SYN Flooding Attacks

Review Over Anomaly Detection Algorithms for Detecting SYN F...

引用

Student Conference on Engineering Sciences and Technology, SCONEST

作者： Riaz A. Shaikh Ahmad Ali Iqbal Kashan Samad Institute of Information Technology NUST Institute of Information and Technology Rawalpindi Pakistan

Network anomalies usually refer to the conditions when network operations diverge from the normal behavior. Anomaly detection in an IP network is a very complex task, because it is dependent upon the nature of the data that is available for the analysis. In this paper we have given the overview of two statistical based anomaly detection algorithms that are adaptive threshold algorithm and cumulative SUM algorithm especially with respect to the anomaly that is occurred due to SYN flooding attacks. In the case of high intensity SYN flooding attacks both were good and have less false alarm ratio where as in the case of low intensity attacks adaptive threshold algorithm performance degrade and shows high false alarm where as in the case of cumulative sum algorithm its performance remain same with lesser false alarm ratio.

关键词： detection algorithms Floods Computer crime File servers Broadcasting Telecommunication traffic IP networks Protocols Storms Network servers

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A model based data normalization technique for improving performance of engine misfire detection algorithms

A model based data normalization technique for improving per...

引用

IEEE International Conference on Electro-Information Technology

作者： A. Alkhateeb M. Das DaimlerChrysler Corporation Auburn MI USA Oakland University Rochester MI USA

An engine misfire detection scheme must work accurately under different engine operating conditions and in presence of different kinds of engine misfire patterns. To address these issues, a model based data normalization technique capable of improving the performance of engine misfire detection algorithms is proposed in this paper. Results obtained from a six cylinder engine speed data indicate that the proposed technique works very well.

关键词： detection algorithms Engine cylinders Acceleration Noise robustness USA Councils Fluctuations Costs Roads Gears Equations

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Evaluation of peak detection algorithms for social media event detection

Evaluation of peak detection algorithms for social media eve...

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International Workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： Philip Healy Graham Hunt Steven Kilroy Theo Lynn John P. Morrison Shankar Venkatagiri University College Cork Irish Centre for Cloud Computing and Commerce Ireland Irish Centre for Cloud Computing and Commerce Dublin City University Ireland Indian Institute of Management Bangalore India

ISBN: (纸本)9781467383967

We evaluate the effectiveness of three peak detection algorithms when applied to collection of social media datasets. Each dataset is composed of a year's worth of tweets relating to a topic. The datasets were converted to time series composed of hourly tweet volumes. The objective of the analysis was to identify abnormal surges of communication, which are taken to be representative of the occurrence of events relevant to the topic under consideration. The ground truth was established by manually tagging the time series in order to identify peaks apparent to a human operator. Candidate algorithms were then evaluated in terms of the precision, recall, and F 1 scores obtained when their output was compared to the manually identified peaks. A general-purpose algorithm is found to perform reasonably well, but seasonality in social media data limits the effectiveness of applying simple algorithms without filtering.

关键词： Social Media Twitter Analytics Peak detection Event detection Spike detection Social Media Event detection peak detection TWITTER detection algorithms Time series Manual handling

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Novel Peak detection algorithms for Pileup Minimization in Gamma Ray Spectroscopy

Novel Peak Detection Algorithms for Pileup Minimization in G...

引用

IEEE Instrumentation and Measurement Technology Conference

作者： M. W. Raad L. Cheded Computer Engineering Department King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia Systems Engineering Department King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia

A fast waveform sampling facility has been recently developed and integrated into the VAX-based data acquisition system at the Center for Applied Physical Sciences (CAPS). This study uses the above facility in developing algorithms for digitally determining the basic pulse parameters and tackling the problem of pulse pile-up in Gamma-ray spectroscopy. A number of parameter estimation and digital online peak localisation algorithms are being developed, including a pulse classification technique which uses a simple peak search routine based on the smoothed first derivative method, which gave a percentage error of peak amplitude of less than 1%. The classification technique has the unique feature of cutting down the computation largely by only allowing the event of interest to be executed by a particular algorithm. The set-up was also tested with random signals from a 137 Cs test source. Gamma pulses from a 3" Na(TI) scintillation detector were captured as single and double pulses for the purpose of testing the peak detection algorithms. The pulse classification technique was tested successfully on a TMS320C6000 high performance floating-point processor yielding a reduction of the execution time to 2 msec

关键词： detection algorithms Minimization methods Spectroscopy Tail Testing Data engineering Systems engineering and theory Event detection Digital signal processing Instrumentation and measurement

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Evaluation of multi-component Electrocardiogram beat detection algorithms: Implications of three different noise artifacts

Evaluation of multi-component Electrocardiogram beat detecti...

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Computers in Cardiology (CinC)

作者： T. Last C.D. Nugent F.J. Owens D.D. Finlay Faculty of Engineering University of Ulster UK

Motion artifacts, caused by changes in the electrode-skin impedance, electromyographic (EMG) interference, caused by muscle contractions, and possible baseline drifts are three of the most common sources of noise present in ECG recordings. The present study investigates the effects of these noise sources on the performance of ECG beat detection algorithms. Four different beat detection methods were used to evaluate the influence of noise sources with varying signal to noise ratios (SNRs). A database consisting of recordings from approximately 100 subjects consisting of approximately 3000 cardiac cycles was used for evaluation. Hence, 1200 records were subsequently tested by the detectors after adding three different noise sources with four different SNRs of 24 dB, 12 dB, 6 dB and -6 dB to the original 100 records. The four classifiers achieved beat detection results from 98% down to 68% for correctly detected QRS-complexes at SNRs between 24 dB and 6 dB.

关键词： detection algorithms Electrocardiography Signal to noise ratio Impedance Electromyography Interference Muscles Databases Testing Detectors

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Obstacle detection algorithms for aviation

Obstacle detection algorithms for aviation

引用

IEEE International Conference on Computer Science and Automation Engineering (CSAE)

作者： Li Fu Songtao Lu School of Electronic and Information Engineering Beihang University Beijing China

Wires can be hard to see for pilots and thus present a serious hazard to low-flying aerial vehicles. An airborne vision system having ability to detect wires in time to avoid accident collisions is needed. However, for an automatic vision-based wire detector, extracting wires from a cluttered background is the most important and challenging tasks. In this paper, we propose a novel wire detection algorithm based on real outdoor images for aviation. This detection process combines the morphological properties of the wire and the common line segment detector in image processing. We first generate a line pool using a fast line segment detector to mark all the lines in image. Then wires detector is applied according to our designed properties of wires. The experimental results demonstrate that the approach is effective for automatic wire detection.

关键词： Wires Image edge detection Detectors Image segmentation Pixel detection algorithms Transforms

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Data detection algorithms specially designed for the downlink of CDMA mobile radio systems

Data detection algorithms specially designed for the downlin...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： A. Klein OEN MN P 36 Siemens AG Munich Germany

In this paper, suboptimum data detection algorithms specially designed for the downlink of CDMA systems are presented which take into account the downlink-specific system characteristics. These algorithms are based on the zero forcing (ZF) criterion and the minimum mean square error (MMSE) criterion, respectively. Basically, they consist of a channel equalizer followed by a code-matched filter. They allow to exploit the multipath diversity of the mobile radio channel. Only the CDMA code used for transmission to the mobile station of interest is needed at the receiver and only the data symbols addressed to that individual mobile station are detected. The computational complexity is independent of the number of active users, which allows to provide mobile terminals of small size and weight with low power consumption. The algorithms are applied to the downlink of a TDMA/CDMA system concept. The algorithms specially designed for the downlink situation lead to a significant system performance enhancement as compared with the conventional matched filter or Rake receiver and to a slightly worse system performance than ZF- and MMSE-based joint detection algorithms which are applicable also in the uplink and which require that all CDMA codes presently used for transmission to the active mobile stations are known at each of these mobile stations.

关键词： detection algorithms Algorithm design and analysis Downlink Multiaccess communication System performance Mean square error methods Equalizers Filters Land mobile radio Receivers

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The detection algorithms for Similar Duplicate Data

The Detection Algorithms for Similar Duplicate Data

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International Conference on Systems and Informatics (ICSAI)

作者： Jin-yu Song Quan Yu Ruo-yu Bao College of Command and Control Engineering Army Engineering University of PLA Nanjing China

ISBN: (数字)9781728152561

ISBN: (纸本)9781728152578

This paper studied and analyzed three algorithms which can be used to detect similar duplicate data records. Among them, the two commonly used duplicate data detection algorithms are basic sorted-neighborhood method (SNM) and priority queue algorithm. Both of them are based on sorting-merger thought. The third one is Density-Based Spatial Clustering of Applications with Noise (DBSCAN). The paper also discussed some key problems in the application and implementation of algorithms, including how to choose the attributes of data records and calculate the similarity between these attributes of two records, the choice of the sort algorithm, the setting of sliding window size and queue length. The paper realized three algorithms by programming based on Matlab platform, as well as some technologies related to algorithms. The paper verified related conclusions and evaluated three algorithms by testing a lot of loaded data sets. The paper finally provided the instruction to apply these algorithms.

关键词： Clustering algorithms Sorting detection algorithms Eigenvalues and eigenfunctions Shape Measurement Data integrity

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