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检索条件"主题词=detection algorithms"

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Solving Over-constrained Problems Using Network Analysis

Solving Over-constrained Problems Using Network Analysis

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International Conference on Adaptive and Intelligent Systems, ICAIS

作者： Monika Schubert Alexander Felfernig Monika Mandl Applied Software Engineering IST Graz University of Technology Graz Austria

Requirements for which no recommendation can be calculated are unsatisfactory for the user. The detection and resolution of conflicts between those requirements and the product assortment is an important functionality to successfully guide the user to a solution. In this paper we introduce a new approach how to identify minimal conflict sets in over constrained problems through network analysis. Conflict sets offer the information which constraints (requirements) need to be changed to retrieve a solution. Random constrained problems are used to evaluate our approach and compare it to existing conflict detection algorithms. A major result of this evaluation is that our approach is superior in settings typical for knowledge-based recommendation problems.

关键词： Recommender systems Software engineering Databases Portable computers Adaptive systems Intelligent systems Intelligent networks Information retrieval detection algorithms Algorithm design and analysis

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Distributed k-Coverage Verification Algorithm Based on Localized Distance Information in WSNs

Distributed k-Coverage Verification Algorithm Based on Local...

引用

International Conference on Networking, Architecture, and Storage (NAS)

作者： Xia Zhang Cheng Wang Digital Engineering & Simulation Research Center Huazhong University of Science and Technology Wuhan Hubei China

It is essential to equip the sensor nodes with simple and efficient coverage boundary detection mechanisms for ensuring the network reliability and providing the required quality of service. The existing coverage boundary detection solutions require accurate knowledge of the sensors locations,which cannot be easily obtained, or they cannot provide guarantees on the coverage quality. Therefore, we propose a distributed algorithm for individual sensor nodes to identify whether they are on the coverage boundary, by using only localized distance information. Furthermore, we extend the algorithm to k-coverage boundary detection scheme. We show the correctness and efficiency of our algorithm by theoretical proofs.

关键词： Wireless sensor networks Quality of service Strontium detection algorithms Distributed algorithms Event detection Reliability engineering Computer networks Computational geometry Solid modeling

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Validity analysis of dynamic electrocardiogram waveform selection strategy by waveform pattern comparison

Validity analysis of dynamic electrocardiogram waveform sele...

引用

IEEE/ICME International Conference on Complex Medical Engineering, CME

作者： Gang Zheng Tian Yu Guo C. Cao School of Computer and Communication Engineering Tianjin University of Technology China

In the paper, a evaluation method was introduced in electrocardiogram (ECG) waveform validity analysis. The method is ECG waveform pattern comparison. The evaluation work was done on a dynamic ECG waveform selection. It is very important to get the real accurate of the selection strategy. The pattern comparison method gives the method, result, and analysis on ECG waveform selection effect. The accurate can reach 96%. And the method can be process on all the ECG waveforms which as preprocessed by the strategy used in the paper.

关键词： Pattern analysis Electrocardiography Shape Educational technology Heart rate Nonlinear filters Cardiac disease detection algorithms Morphology Filtering

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An Improved Progressive Switching Median Filter

An Improved Progressive Switching Median Filter

引用

International Conference on Future Computer and Communication, ICFCC

作者： Soon Ting Boo Haidi Ibrahim Kenny Kal Vin Toh School of Electrical & Electronic Engineering Universiti Sains Islam Malaysia Nibong Tebal Penang Malaysia

The progressive switching median (PSM) filter implements a noise detection algorithm before filtering. Both noise detection and filtering procedures are progressively repeated for a number of iterations. As an attempt to improve the PSM filter, an improved progressive switching median filter (IPSM) is proposed to enhance progressive median filter in term of its noise filtering ability. The proposed algorithm sets a limit on the number of good pixels used in determine median and mean values, and substitute impulse pixel with half of the value of the summation of median and mean value. Experimental results show that the proposed algorithm performs a better noise filtering ability as the images are highly corrupted.

关键词： Nonlinear filters Filtering Switches Noise level detection algorithms Noise reduction Sun Detectors Communication switching Pixel

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An Active Anti-Islanding Algorithm for Inverter Based Multi-Source DER Systems

An Active Anti-Islanding Algorithm for Inverter Based Multi-...

引用

IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Alben Cardenas Kodjo Agbossou Mamadou L. Doumbia Hydrogen Research Institute Department of Electrical and Computer Engineering Université du Québec à Trois Rivières Trois-Rivieres QUE Canada

Islanding detection is an essential function for safety and reliability in grid connected distributed generation (DG) systems. Several methods for islanding detection are proposed, but most of them are not efficient for multi-source configurations, or they may produce important power quality degradation getting worst with DG penetration increasing. This paper presents an active islanding detection algorithm for voltage source inverter (VSI) based multi-source DG systems. The proposed method is based on voltage positive feedback theory. Simulations by MATLAB/Simulink/SimPowerSystems were used to evaluate its performance and its advantages concerning time response and power quality effects under critical conditions as load's unity power factor and high quality factor.

关键词： Inverters Density estimation robust algorithm Power quality Voltage Safety Power system reliability Distributed control Degradation detection algorithms Feedback

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Building recognition from aerial images combining segmentation and shadow

Building recognition from aerial images combining segmentati...

引用

IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS)

作者： Keyan Ren Hanxu Sun Qingxuan Jia Jianbo Shi Department of Automation University of Posts and Telecommunications Beijing China Computer & Information Science University of Pennsylvania Philadelphia PA USA

ISBN: (纸本)9781424447374;9781424447541

We propose a novel building detection algorithm for processing high-resolution aerial images. Our algorithm exploits the building-shadow geometric relationship according to lighting models, making it suitable to detect buildings in a more general setting, possibly with irregular shapes. We use image segmentation to provide spatial support for both building and shadow detections. A novel confidence method is developed to label building and shadow segments by jointly reasoning: 1) the likelihood of shadows; 2) building-shadow configuration, and 3) building-building similarity. Our method is tested on a wide range of aerial images. Qualitative and quantitative results demonstrate its effectiveness on detecting and extracting buildings from background clutter.

关键词： Image recognition Image segmentation Buildings Image edge detection Shape Automation detection algorithms Solid modeling Testing Data mining

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Robust beat detector for ambulatory cardiac monitoring

Robust beat detector for ambulatory cardiac monitoring

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Inaki Romero Bernard Grundlehner Julien Penders Holst Centre IMEC-NL Eindhoven Netherlands

Robust beat detection under noisy conditions is required in order to obtain a correct clinical interpretation of the ECG in ambulatory settings. This paper describes the evaluation and optimization of a beat detection algorithm that is robust against high levels of noise. An evaluation protocol is defined in order to study four different characteristics of the algorithm: non-rhythmic patterns, different levels of SNR, exact peak detection and different levels of physical activity. This protocol is based on the MIT/BIH arrhythmia database and additional ECG recordings obtained under different levels of physical activity measured by 2-axis accelerometers. The optimized algorithm obtained a Se=99.65% and +P=99.79% on the MIT/BIH arrhythmia database while keeping a good performance on ECGs with high levels of activity (overall of Se=99.86%, +P=99.91%). In addition, this method was optimized to work in real time, for future implementation in a Wireless ECG sensor based on a microprocessor.

关键词： Detectors Monitoring Electrocardiography Noise robustness Protocols Databases detection algorithms Noise level Signal to noise ratio Accelerometers

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SILT: Scale-invariant line transform

SILT: Scale-invariant line transform

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IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA)

作者： Bahador Khaleghi Malek Baklouti Fakhreddin O. Karray Pattern Analysis and Machine Intelligence Laboratory Department of Electrical and Computer Engineering University of Waterloo Canada

ISBN: (纸本)9781424448081

Line matching is useful in many computer vision tasks such as object recognition, image registration, and 3D reconstruction. The literature on line matching has advanced in recent years, nevertheless, compared to other features (such as point and region matching approaches) it has made little progress. Especially, very few algorithms address the problem of image scaling. In this paper, we present a new line detection and matching algorithm that is invariant to image scale variation (SILT). The algorithm detects line segments as local extrema in the scale-space. Each detected line segment is represented in a distinctive manner using Haar-like features. PCA is further deployed to improve upon the compactness and robustness of representation. Experimental results demonstrate the effectiveness of the proposed approach to deal with image scale variations.

关键词： Image segmentation Layout Computer vision Object recognition Robustness Lighting detection algorithms Pattern analysis Machine intelligence Pattern matching

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Distinguishing DDoS Attacks from Flash Crowds Using Probability Metrics

Distinguishing DDoS Attacks from Flash Crowds Using Probabil...

引用

International Conference on Network and System Security, NSS

作者： Ke Li Wanlei Zhou Ping Li Jing Hai Jianwen Liu School of Engineering and Information Technology Deakin University Australia

Both Flash crowds and DDoS (Distributed Denial-of-Service) attacks have very similar properties in terms of Internet traffic, however Flash crowds are legitimate flows and DDoS attacks are illegitimate flows, and DDoS attacks have been a serious threat to Internet security and stability. In this paper we propose a set of novel methods using probability metrics to distinguish DDoS attacks from Flash crowds effectively, and our simulations show that the proposed methods work well. In particular, these methods can not only distinguish DDoS attacks from Flash crowds clearly, but also can distinguish the anomaly flow being DDoS attacks flow or being Flash crowd flow from Normal network flow effectively. Furthermore, we show our proposed hybrid probability metrics can greatly reduce both false positive and false negative rates in detection.

关键词： Computer crime Telecommunication traffic Internet Probability distribution Algorithm design and analysis Traffic control Floods Information security Information technology detection algorithms

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Detecting Corner Using Fuzzy Similarity Matrix

Detecting Corner Using Fuzzy Similarity Matrix

引用

International Conference on Information Science and Engineering (ICISE)

作者： Hongxun Zhang Xiaoyan Jin School of Computer and Information Technology Beijing Jiaotong University China

ISBN: (纸本)9781424449095

In real-time video stream application, a feature point detector is very necessary. Stable feature points are useful in machine vision application. Feature point detectors such as SIFT, Harris and SUSAN are good methods which extracted high quality features, but neither the Harris detector nor the detection stage of SIFT can operate at real-time frame rate. In this paper, we present a new corner detection algorithm which uses fuzzy similarity matrix to calculate average similarity of contiguous pixels. It can be used in real-time applications of any complexity. In our experiments to evaluate our corner detector, difference image transformations are computed and the repeatability of feature points between a reference image and each of the transformed images are computed. Experiment results show our corner detector could give good results.

关键词： Detectors Computer vision detection algorithms Autocorrelation Pixel Brightness Information technology Streaming media Application software Machine vision

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