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检索条件"主题词=Detection Algorithms"

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On the use of memory for detecting musical notes in polyphonic piano music

On the use of memory for detecting musical notes in polyphon...

引用

European Conference on Circuit Theory and Design, ECCTD

作者： Giovanni Costantini Massimiliano Todisco Renzo Perfetti Department of Electronic Engineering University of Roma Tor Vergata Rome Italy Institute of Acoustics O. M. Corbino Rome Italy Department of Electronic and Information Engineering University of Perugia Perugia Italy

Music transcription consists in transforming the musical content of audio data into a symbolic representation. The objective of this study is to investigate a transcription system for polyphonic piano. The proposed method focuses on temporal musical structures, note events and their main characteristics: the attack instant and the pitch. Onset detection exploits a time-frequency representation of the audio signal. Note classification is based on constant Q transform (CQT) and support vector machines (SVMs). Finally, to validate our method, we present a collection of experiments using a wide number of musical pieces of heterogeneous style.

关键词： Music Support vector machines Support vector machine classification Time frequency analysis detection algorithms Autocorrelation Discrete Fourier transforms Acoustic signal detection Acoustical engineering Data engineering

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Detecting security anomalies from internet traffic using the MA-RMSE algorithms

Detecting security anomalies from internet traffic using the...

引用

IEEE International Conference on Industrial Informatics (INDIN)

作者： Breno Pinto Varin Khera Chun Che Fung Computer Security Incident Response Team Brasil Telecom Brasilia Brazil Nokia Siemens Networks Inc. Australia School of Information Technology Murdoch University Australia

Many detection techniques against worms, denial of service attacks and botnets on the Internet have been developed. It is difficult to detect these threats if the malicious traffic has insufficient intensity, which is usually the case. To make the problem worse, legitimate Internet services behaving like worm and complexity network environments undermines the efficiency of the detection techniques. This paper proposes an entropy-based Internet threats detection approach that determines and reports the traffic complexity parameters when changes in the traffic complexity content may indicate a malicious network event. Based on the experiment, the proposed method is efficient and produces less false positive and false negative alarms with a faster detection time.

关键词： Entropy Telecommunication traffic Information security detection algorithms Computer security Computer worms Computer crime Web and internet services Australia Information technology

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Real World Routing Using Virtual World Information

Real World Routing Using Virtual World Information

引用

IEEE International Conference on Computational Science and Engineering, CSE

作者： Pan Hui Nishanth Sastry Decutsche Teleckom Laboratories Germany University of Cambridge UK

In this paper, we propose to leverage social graphs from Online Social Networks (OSN) to improve the forwarding efficiency of mobile networks, more particularly Delay Tolerant Networks (DTN). We extract community structures from three popular OSNs, Flickr, LiveJournal,and YouTube, and quantify the clustering features of each network at different levels of hierarchical resolution. We then show how community information can be used for forwarding using hints small enough to store on a mobile device. We also provide a first comparison study of the topological community structures for different types of OSNs with millions of users.

关键词： Routing Humans Social network services Disruption tolerant networking Large-scale systems detection algorithms Computer networks Laboratories Mobile computing Data mining

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A Trust-Based Detecting Mechanism against Profile Injection Attacks in Recommender Systems

A Trust-Based Detecting Mechanism against Profile Injection ...

引用

2009 Third IEEE International Conference on Secure Integration and Reliability Improvement SSIRI 2009(第三届IEEE安全软件集成及可信性改进国际会议)

作者： Chuliang Weng Qiang Zhang Yuan Luo Minglu Li Computer Science and Engineering Department Shanghai Jiao Tong University Shanghai China 200240 Computer Science and Engineering Department Shanghai Jiao Tong University Shanghai China200240

ISBN: (纸本)9780769537580

Recommender systems could be applied in grid environment to help grid users select more suitable services by making high quality personalized recommendations. Also, recommendation could be employed in the virtual machines managing platform to measure the performance and creditability of each virtual machine. However, such systems have been shown to be vulnerable to profile injection attacks (shilling attacks), attacks that involve the insertion of malicious profiles into the ratings database for the purpose of altering the system's recommendation behavior. In this paper we introduce and evaluate a new trust-based detecting algorithM for protecting recommender systems against profile injection attacks. Moreover, we discuss the combination of our trust-based metrics with previous metrics such as RDMA in profile-level and item-level respectively. In the end, we show these metrics can lead to improved detecting accuracy experimentally.

关键词： Recommender systems virtual machines RDMA Injections Vulnerable detection algorithms

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Detecting novel business blogs

Detecting novel business blogs

引用

International Conference on Information, Communications and Signal Processing

作者： Hongyao Liang Flora S. Tsai Agus T. Kwee School of Electrical & Electronic Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9781424446568

Nowadays, blogs have become a popular way for people and organizations to publish news and information to the public, as well as advertise their products. Certain information contained in the blogs represent business opportunities and thus can be utilized by speculators. However, many blogs may often contain similar information and the sheer volume of available information really challenges the ability of organizations to act quickly in today's business environment. Thus, a lot of work has been done to develop a novelty detection system, which is able to single out novel information out of a set of massive text documents. This paper explores the feasibility and performance of detecting novel business blogs, which has not been studied before. The results show that our novelty detection system can detect novelty in our dataset of business blogs with very high accuracy, which indicate that our novelty detection algorithm is successful in detecting novel business blogs.

关键词： Blogs Information filtering Information filters detection algorithms Information technology TV Social network services Search engines Timing Exchange rates

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Building recognition from aerial images combining segmentation and shadow

Building recognition from aerial images combining segmentati...

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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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A Method of Multi-tone Jamming Suppression in FHCPM Systems

A Method of Multi-tone Jamming Suppression in FHCPM Systems

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2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)

作者： Geng Wang Qiang Li Xiyun Zhu Shaoqian Li National Key Lab of Communication University of Electronic Science and Technology of China Chengdu R.P.China

ISBN: (纸本)9781424448876

The performance of an iterative decoding and noncoherent demodulating algorithm to suppress the multi-tone jamming (MTJ) in FH-CPM systems is studied in this paper. To reduce the complexity of the demodulator, an iterative tree search (ITS) method, based on Laurent decomposition, is exploited. And to enhance the reliability of the system, an iterative multi-tone jamming state information (MTJSI) estimation method is proposed in this paper. Simulation results demonstrate that the iterative detection algorithm combining with the MTJSI estimation method takes on good BER performance in the presence of MTJ on an additive white Gaussian noise channel.

关键词： Jamming Demodulation Iterative methods Iterative decoding Iterative algorithms State estimation detection algorithms Additive white noise Convolution Channel state information

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Evaluation of Quality of Protection Adding HVM in Wireless Network

Evaluation of Quality of Protection Adding HVM in Wireless N...

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

作者： Sun-Hee Lim Hyeon-Seung Kim Seunghwan Yun Jin-Woong Cho Okyeon Yi Jongin Lim School of Information Management and Security Korea University South Korea Korea Electronics and Technology Institute South Korea Department of Mathematics Kookmin University South Korea

As wireless network cannot dispense with a proper security measure due to its inborn vulnerability, a new security measure has been developed with an advent of new wireless network technology. Each security measure properly serves the security needs of its associated wireless network as it was intended to. Quality of Protection (QoP) estimates the stability of individual network system by quantifying security intensity. So, it can work as an evaluation standard for the security of network. This paper considers Historical Vulnerability Measure (HVM) and relative weight in total reward function for the improved QoP model. HVM is objectively organized by Flow-based Abnormal Traffic detection Algorithm for utility function.

关键词： Protection Wireless networks Data security Traffic control Wireless LAN Telecommunication traffic detection algorithms Quality of service Information security Access protocols

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Novel graph-based algorithms for interference cancellation in CDMA systems

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

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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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Survey on microgrids: Analysis of technical limitations to carry out new solutions

Survey on microgrids: Analysis of technical limitations to c...

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European Conference on Power Electronics and Applications

作者： Alvaro Llaria Octavian Curea Jaime Jimenez Haritza Camblong Estia Recherche Ecole Supérieure des Technologies Industrielles Avancées Technopôle Izarbel Bidart France Departamento de Electrónica y Telecomunicaciones UPV/EHU Bilbao Spain

ISBN: (纸本)9781424444328

Microgrids (MGs) are one of the most promising electrical systems for the next years. Since the definition of the MG paradigm by the first time, the investigation in this area is growing continuously and there are numerous research projects in this moment over the world. This paper makes a survey focused on two important features of MGs: unplanned islanding detection algorithms and inverter control in islanding. Islanding is an inherent property of MGs: the possibility to disconnect them from the main grid in case of disturbance but without stopping the energy generation in the MG. According with this, the different kind of algorithms used to detect the islanding are studied and compared to know their advantages and limitations. Once in islanding, the inverters of the MG must fix new references of voltage and frequency by means of different control techniques. The paper concludes with the solution proposed by the authors: a wireless communication system based on ZigBee in order to exchange the control set point between the inverters.

关键词： Inverters Energy management Load flow Switches Power system management Fuel cells Wind turbines Wind energy generation Circuit breakers detection algorithms

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