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检索条件"主题词=Detection Algorithms"

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Joint Design of Frequency and Power Adaptation in FHSS Systems Based on Cognitive Radio

Joint Design of Frequency and Power Adaptation in FHSS Syste...

引用

International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Jianzhong Chen Yingtao Niu Fuqiang Yao People's Liberation Army Beijing Beijing CN

From cognitive radio (CR) conception, a novel joint design of frequency and power adaptation for frequency-hopping spread spectrum (FHSS) system is developed based on truncated interference inversion algorithm. In the adaptation scheme, the interfering carrier frequencies are removed from frequency hopset firstly. Then the transmitter adjusts its power to compensate the effect of interference and maintain a constant received SINR in the carrier frequencies with low interference level. The interfering carrier frequencies detection algorithm based on Bayesian theory is proposed. Average process time of interfering carrier frequencies is also analyzed. Simulation results verify that the proposed scheme can maintain the target BER performance under intensive interference.

关键词： Frequency Cognitive radio Chromium Algorithm design and analysis Spread spectrum communication Radiofrequency interference Radio transmitters Signal to noise ratio detection algorithms Bayesian methods

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Filler Item Strategies for Shilling Attacks against Recommender Systems

Filler Item Strategies for Shilling Attacks against Recommen...

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Annual Hawaii International Conference on System Sciences (HICSS)

作者： S. Ray A. Mahanti Indian Institute of Management Calcutta India

In recent years recommender systems have become a ubiquitous feature in e-commerce sites. However, the open nature of recommender systems makes them vulnerable to shilling attacks from malicious users. Such attacks may lead to erosion of user trust in the objectivity and accuracy of the system. One critical area of research in security of recommender systems is the study of attack models. In this paper, we propose an approach for creating attack models. Our paper explores the importance of target item and filler items in mounting effective shilling attacks. Our attack strategies are based on intelligent selection of filler items. Filler items are selected on the basis of the target item rating distribution. We propose filler item strategies for both all-user attacks and in-segment attacks. We show through experiments that our attack strategies are the most effective attack strategies against both user-based and item-based collaborative filtering systems.

关键词： Recommender systems Conference management detection algorithms Security Collaboration Filtering

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A Corner Feature Matching Model Based on Improved Hausdorff Distance

A Corner Feature Matching Model Based on Improved Hausdorff ...

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International Conference on Intelligent Computation Technology and Automation, ICICTA

作者： Gang Xu Wenxian Yang Department of Electrical and Electronic Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781424447411

A new corner detection algorithm is proposed to get image corners, and then a novel improved partial Hausdorff distance is presented as the similarity measure between the template and images. Finally, a genetic algorithm with the probabilities of crossover and mutation self-adaption based on fuzzy control is used to search the optimum matching quickly. The experimental results show that the matching model composed of these algorithms is capable of fast and effective image matching and has higher speed and better quality compared with other similar matching algorithms.

关键词： Genetic algorithms detection algorithms Image matching Data mining Fuzzy control Computer vision High definition video Power engineering computing Automation Power engineering and energy

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Novel graph-based algorithms for interference cancellation in CDMA systems

Novel graph-based algorithms for interference cancellation i...

引用

IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Alan Barbieri Giulio Colavolpe Dario Fertonani Amina Piemontese SPADiC Laboratory Dipartimento di Ingegneria dell Informazione Università di Parma Parma Italy

We consider soft-input soft-output detection over linear channels impaired by additive white Gaussian noise. For this general model, which describes a large variety of scenarios, novel detection algorithms are derived by applying the sum-product algorithm to a suitably-designed factor graph. Among the various possible applications, we mainly focus on code division multiple access (CDMA) systems. The proposed scheme, when compared with the existing interference-cancellation algorithms, results very appealing in terms of tradeoff between performance and computational complexity. Particularly, although its complexity grows only linearly with the number of users that share the channel, the proposed scheme can approach the performance provided by much more complex receivers.

关键词： Interference cancellation Multiaccess communication Additive white noise Iterative algorithms detection algorithms Computational complexity Random variables Gaussian noise AWGN channels Fading

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Cell Segmentation Using Ellipse Curve Segmentation and Classification

Cell Segmentation Using Ellipse Curve Segmentation and Class...

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International Conference on Information Science and Engineering (ICISE)

作者： Xiaomin Li Yuanyuan Wang Yinhui Deng Jinhua Yu Department of Electronic Engineering Fudan University Shanghai China

ISBN: (纸本)9781424449095

Cell segmentation from microscopic images is the first stage of the automatic biomedical image processing, which plays a crucial role in the study of cell behavior and cell structure. In this paper, a novel approach is proposed to segment cells which are characterized as elliptical objects. Cell segmentation is implemented using an ellipse detection algorithm based on ellipse curve segmentation and classification. In the method, the image preprocessing is firstly applied to extract object edges from the microscopic image. Then the curvature-based curve searching is proposed to segment edges into different curves followed by the process of curve's under-segmentation and the process of curve's over-segmentation. Finally, curve classification and ellipse fitting are used to obtain object cells. Experiment results demonstrated the effectivity of the proposed method.

关键词： Image segmentation Image edge detection Curve fitting Microscopy detection algorithms Pixel Biomedical engineering Data preprocessing Clustering algorithms Object detection

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RRE: A game-theoretic intrusion Response and Recovery Engine

RRE: A game-theoretic intrusion Response and Recovery Engine

引用

International Conference on Dependable Systems and Networks (DSN)

作者： Saman A. Zonouz Himanshu Khurana William H. Sanders Timothy M. Yardley University of Illinois Urbana-Champaign USA

Preserving the availability and integrity of networked computing systems in the face of fast-spreading intrusions requires advances not only in detection algorithms, but also in automated response techniques. In this paper, we propose a new approach to automated response called the Response and Recovery Engine (RRE). Our engine employs a game-theoretic response strategy against adversaries modeled as opponents in a two-player Stackelberg stochastic game. RRE applies attack-response trees to analyze undesired security events and their countermeasures using Boolean logic to combine lower-level attack consequences. In addition, RRE accounts for uncertainties in intrusion detection alert notifications. RRE then chooses optimal response actions by solving a partially observable competitive Markov decision process that is automatically derived from attack-response trees. Experimental results show that RRE, using Snort's alerts, can protect large networks for which attack-response trees have more than 900 nodes.

关键词： Engines Computer networks Face detection detection algorithms Stochastic processes Security Boolean functions Uncertainty Intrusion detection Protection

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Frequent Pattern Discovery from a Single Graph with Quantitative Itemsets

Frequent Pattern Discovery from a Single Graph with Quantita...

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IEEE International Conference on Data Mining Workshops (ICDM Workshops)

作者： Yuuki Miyoshi Tomonobu Ozaki Takenao Ohkawa Graduate School of Engineering Kobe University Kobe Japan Organization of Advanced Science and Technology Kobe University Japan Graduate School of Engineering Kobe University Japan

In this paper, we focus on a single graph whose vertices contain a set of quantitative attributes. Several networks can be naturally represented in this complex graph. An example is a social network whose vertex corresponds to a person with some quantitative items such as age, salary and so on. Although it can be expected that this kind of data will increase rapidly, most of current graph mining algorithms do not handle these complex graphs directly. Motivated by the above background, by effectively combining techniques of graph mining and quantitative itemset mining, we developed an algorithm named FAG-gSpan for finding frequent patterns from a graph with quantitative itemsets.

关键词： Itemsets Data mining Distributed algorithms Statistical distributions detection algorithms Monitoring Conferences Space technology Computer science NASA

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Implantable bio-medical SoC for ICD with wireless communication system

Implantable bio-medical SoC for ICD with wireless communicat...

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Electronic Components and Technology Conference (ECTC)

作者： Unsun Cho Yunho Jung Shinil Lim Jaeseok Kim Yonsei University Seoul South Korea

This paper presents the implementation results of implantable cardioverter defibrillator (ICD) which is a mixed signal biomedical SoC implanted in human body to deliver appropriate therapies for heart arrhythmia. SoC technology is the best suited for low power consumption and device miniaturization because the ICD operates inside human body with limited power resources. The designed chip consists of three main parts: front-end circuit, bio-signal digital processor (BSP) and modem. The front-end circuit has roles of amplification and digital conversion of analog electrogram (EGM) signal. The BSP detects peak of EGM based on real time QRS detection algorithm. The BSP also controls defibrillator and pacing module to deliver appropriate therapies when BSP detect heart arrhythmia based on diagnosis and treatment algorithm. The modem transmits the episode when BSP diagnoses an arrhythmia and also can be used as an alarm when ICD cannot handle emergency situation. The proposed SoC is designed with capability of operating in 1.5 V supply voltage and fabricated in a 0.18 mum CMOS technology with area of 6.5 mm 2 and verified in real-time operation.

关键词： Wireless communication Humans Medical treatment Heart Circuits Modems CMOS technology Cardiology Energy consumption detection algorithms

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A new approach of unconstrained sleep monitoring and pulse arrival time extraction using PPG pillow and CC-ECG electrode system

A new approach of unconstrained sleep monitoring and pulse a...

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Jeong Su Lee Gih Sung Chung Hyun Jae Beak Yong Gyu Lim Jin Seong Lee Do Un Jeong Kwang Suk Park Interdisciplinary Program of Bioengineering Graduate School Seoul National University South Korea Department of Oriental Biomedical Engineering Sangji University South Korea Department of Psychiatry Seoul National University South Korea Department of Biomedical Engineering College of Medicine Seoul National University South Korea

In this paper, an unconstrained and noninvasive system to detect heart rate (HR), respiratory rate and extract pulse arrival time (PAT) during sleep is proposed. The system consists of PPG sensor module embedded in a pillow and CC-ECG (capacitor coupled-ECG) sensor module. From the PPG sensor, we acquired heart rate and respiratory rate during sleep with simple peak detection algorithm. Besides, by employing extraction algorithms, PAT can be extracted from signal acquired with a CC-ECG electrode placed on a mattress. The result shows that HR and respiratory rate detection and PAT extraction have been successfully completed regardless of sleep position. This study suggests that the proposed system is promising to be used for continuous and unconstrained estimation of blood pressure during sleep.

关键词： Sleep Monitoring Electrodes Heart rate Capacitive sensors Sensor systems Heart rate detection Capacitors detection algorithms Blood pressure

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Detecting ventricular fibrillation by fast algorithm of dynamic sample entropy

Detecting ventricular fibrillation by fast algorithm of dyna...

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IEEE International Conference on Robotics and Biomimetics

作者： Haiyan Li Wenguang Han Chao Hu Max Q.-H. Meng CAS CUHK Shenzhen Institute of Advanced Integration Harbin Engineering of Technology Harbin China Key Lab for Biomedical Informatics & Health Engineering Shenzhen Institute of Advanced Technology Shenzhen China Department of Electronic Engineering Chinese University of Hong Kong New Territories Hong Kong China

ISBN: (纸本)9781424447749

A key component in automatic external defibrillator (AED) is to discriminate ventricular fibrillation (VF) from non VF by means of appropriate detection algorithms, which should have a high detection quality, be easily implementable, and work in real time. In this study, we presented a novel and computationally simple algorithm for VF detection using sample entropy (SampEn) method. To evaluate the accuracy of the proposed algorithm, we analyzed the complete data sets from Creighton University Ventricular Tachyarrhythmia database (CUDB). We compared the sensitivity, specificity, positive prediction, accuracy and the area under its receiver operating characteristic curve (ROC) of the new algorithm with several earlier VF detection algorithms. The new algorithm proves to be well suited for short data sets analysis, which can reach an elegant balance between detection time and accuracy.

关键词： Fibrillation Heuristic algorithms Entropy Algorithm design and analysis Databases Content addressable storage Electrocardiography Biomedical engineering Signal analysis detection algorithms

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