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检索条件"主题词=detection algorithms"

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A Novel Anomaly detection Algorithm

A Novel Anomaly Detection Algorithm

引用

International Conference on Computer and Communications Security (ICCCS)

作者： Kui Zhang College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China

A novel anomaly detection algorithm is proposed and based on the danger model. The danger model is built on a sensitive tissue (ST) which consists of a population of sensitive cells (SCs) that are abstracted from computer system, and such cells are very sensitive to cellular damages. ST plays a role as an interface between problems and immune cells for danger recognition and estimation. This novel anomaly detection algorithm is different from the existing ones for the introduction to a novel component-sensitive tissue in the danger model.

关键词： detection algorithms Immune system Distributed control Pathogens Adaptive systems Artificial immune systems Humans Biological system modeling Filtering algorithms Computer security

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detection of Ventricular Fibrillation by Support Vector Machine Algorithm

Detection of Ventricular Fibrillation by Support Vector Mach...

引用

International Asia Conference on Informatics in Control, Automation and Robotics, CAR

作者： Qun Li Jie Zhao Yan-Na Zhao College of Physics and Electronics Shandong Normal University Jinan China

With the increasing of sudden cardiac death, the developing of a reliable and portable electrocardiograph (ECG) monitor is imminent, especially automated external defibrillators (AEDs). A pivotal component in AEDs is the detection of ventricular fibrillation (VF) by means of appropriate detection algorithms. Various algorithms were proposed, here we proposed a new algorithm, which is based on support vector machine (SVM), Hurst index, and the time-delay algorithm [phase space reconstruction (PSR)]. For the new VF detection algorithm we calculated the sensitivity, specificity, positive predictivity and accuracy, then we compared these values with the results from an earlier investigation of several VF detection algorithms under equal conditions, using same databases and all of data without any preselection. We used the BIH-MIT arrhythmia database and the CU database. The result shows that the proposed algorithm has a high detection quality and outperforms all other investigated algorithms.

关键词： Fibrillation Support vector machines Databases Support vector machine classification Electrocardiography detection algorithms Heart Robotics and automation Accuracy Hospitals

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A New Community detection Algorithm Based on Makov-Chains and a Team Formation Model

A New Community Detection Algorithm Based on Makov-Chains an...

引用

International Conference on Advances in Social Network Analysis and Mining, ASONAM

作者： Patrick J. McSweeney Kishan Mehrotra Jae C. Oh Department of Engineering and Computer Science Syracuse University Syracuse NY USA

Detecting community structure in complex networks is an active area of research that locates dense regions of connections in networks. We suggest a novel algorithm for community detection using a new node-node associa... 详细信息

关键词： detection algorithms Computer science Complex networks Social network services Algorithm design and analysis Partitioning algorithms Optimization methods Q measurement Iterative algorithms Computer networks

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A New Hybrid Approach for detection and Estimation in Wireless Sensor Networks

A New Hybrid Approach for Detection and Estimation in Wirele...

引用

Computer Science and Information Engineering, CSIE, WRI World Congress on FLAGGED

作者： Ayad M. Salhieh Mohammed G. Obeidallah Department of Computer Science Jordan University of Science and Technology Irbid Jordan

Wireless sensor network is a network that contains a set of autonomous inexpensive devices called sensors. These sensors communicate together to detect, track, and monitor physical environments. Since energy is the scarcest resource in wireless sensor networks, some necessary improvements should be made to current detection algorithms to reduce the amount of consumed *** this paper, two detection algorithms are studied named value fusion algorithm and decision fusion algorithm. Hybrid approach was developed as combinations between these two algorithms. In hybrid approach, event region was divided into a number of clusters. In each cluster, a cluster head is selected. Only one cluster is activated and participated in the detection process. Members of the active cluster perform the value fusion algorithm locally and the cluster head (CH) performs the decision fusion algorithm *** implement the hybrid approach, hybrid value-decision (HVD) clustering protocol was developed as an extension to LEACH *** results show that the hybrid algorithm is superior to value and decision algorithms in terms of energy consumption when more sensors are deployed in the event region (i.e. more scalable event region).

关键词： Wireless sensor networks Clustering algorithms Energy measurement detection algorithms Event detection Computer science Protocols Region 2 Computerized monitoring Energy consumption

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ISI and Self-Noise Reduction Using Symbol-Rate Adaptive Receiver within a detection Guided Rake Receiver

ISI and Self-Noise Reduction Using Symbol-Rate Adaptive Rece...

引用

International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom

作者： K.V.N. Kavitha R. Suresh M. Rathika K.V.N. Elavarasi School of Electrical Sciences Vellore of Institute of Technology Vellore India Department of ECE SVCET Chittoor India Department of ECE AMACE Tamil Nadu India

Code division multiple access (CDMA) systems use the spread spectrum technology to accommodate more number of users without interference and the RAKE receiver concepts to minimize ISI resulting from multipath effects. The ideal approach is to match the number of multipath signals with the number of correlators, but this would be a waste of resources. This paper incorporates a new signal detection technique which is used to decide the number of correlators required for demodulating the `important' multipath signals. System performance improvement is quantified and compared with the conventional technique in terms of SNR.

关键词： Intersymbol interference RAKE receivers Fading Multipath channels Least squares approximation Adaptive filters Finite impulse response filter Multiaccess communication detection algorithms Correlators

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High-Speed Video Transfer and Real-Time Infrared Spots detection Based on FPGA

High-Speed Video Transfer and Real-Time Infrared Spots Detec...

引用

International Workshop on Computer Science and Engineering (WCSE)

作者： Maoxiang Huang Chenhao Wang Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

This paper presents a high-speed video transfer scheme and a real-time infrared spots detection algorithm designed for field programmable gate array (FPGA) implementation. Rather than IEEE 1394a, two IEEE 1394b interfaces are alternatively used to ensure high-resolution image transfer in real time. In order to execute fast infrared spots detection, a parallel algorithm that processes four pixels per clock cycle is proposed. It detects infrared spots in a single pass over a frame and its implementation is only composed of combinatorial logic and registers. Furthermore, the execution time of the algorithm is independent of image content. A prototype system is implemented in an FPGA device. It is capable of transferring 1024 × 768 images smoothly at 60 fps and detecting infrared sports in a 1024 × 768 image within 1.966ms, demonstrating its superiority over the existing multi-pass algorithms and some other one-pass algorithms. Details of software and hardware architecture are discussed in this paper.

关键词： Infrared detectors Field programmable gate arrays detection algorithms Algorithm design and analysis Parallel algorithms Clocks Logic devices Software prototyping Prototypes Infrared imaging

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Speech rhythm guided syllable nuclei detection

Speech rhythm guided syllable nuclei detection

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yaodong Zhang James R. Glass MIT Computer Science and Artificial Intelligence Laboratory Cambridge MA USA

In this paper, we present a novel speech-rhythm-guided syllable-nuclei location detection algorithm. As a departure from conventional methods, we introduce an instantaneous speech rhythm estimator to predict possible regions where syllable nuclei can appear. Within a possible region, a simple slope based peak counting algorithm is used to get the exact location of each syllable nucleus. We verify the correctness of our method by investigating the syllable nuclei interval distribution in TIMIT dataset, and evaluate the performance by comparing with a state-of-the-art syllable nuclei based speech rate detection approach.

关键词： Rhythm Speech analysis Speech processing Band pass filters detection algorithms Signal analysis Information resources Acoustic measurements Nuclear measurements Acoustic signal detection

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An improved detection algorithm of moving vehicles based on computer vision

An improved detection algorithm of moving vehicles based on ...

引用

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

作者： Jie Cao Wei Wang Yan Liang College of Computer and Communication Lanzhou University of Technology Lanzhou Gansu China Guangzhou Institute of Measuring and Testing Technology Guangzhou Guangdong China Department of Electrical Engineering University of Zhengzhou Zhengzhou Henan China

ISBN: (纸本)9781424447374;9781424447541

Moving vehicle detection based on computer vision is an important aspect in the application of Intelligent Transportation Systems (ITS). How to get the accurate parameters of the vehicle in real-time, especially in complicated background situation is very critical. In this paper an improved detection algorithm of moving vehicle is proposed. According to the characteristics of some present detection algorithms, the paper makes improvement to background subtraction and symmetric difference method respectively, and combines both of them. In the method of background difference, the selective statistics background updating algorithm is proposed. Add region-growing segmentation and the morphological filtering methods to the post-processing step. Through simulation experiment with the real traffic video image, the effect is obvious.

关键词： detection algorithms Computer vision Vehicle detection Intelligent transportation systems Application software Intelligent vehicles Statistics Image segmentation Filtering Traffic control

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Improving Head detection from Tracking

Improving Head Detection from Tracking

引用

International Conference on Information Engineering and Computer Science (ICIECS)

作者： Dapeng Luo Nong Sang Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424449934

In this paper, we propose a novel framework for head detection and tracking in video sequences. At first, an off-line classifier is trained with a few labeled samples. And it was used to object detection in video sequences. Based on online boosting algorithm, the detected objects will be used to train the classifier as new samples. Instead of using another detection algorithm to label the new sample automatically like other online boosting framework, we ensure the correct label from tracking. Furthermore, the weights of new samples can be obtained from tracking directly. Thus the training speed of the classifier can be improved. Experimental results on two video datasets are provided to show the efficient and high detection rate of the framework.

关键词： Object detection Detectors Boosting Face detection Pattern recognition Artificial intelligence Video sequences detection algorithms Labeling Training data

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An outlier detection algorithm based on object-oriented metrics thresholds

An outlier detection algorithm based on object-oriented metr...

引用

International International Symposium on Computer and Information Sciences (ISCIS)

作者： Oral Alan Ph.D. Cagatay Catal TUBITAK-Marmara Research Center Information Technologies Institute Kocaeli Turkey

detection of outliers in software measurement datasets is a critical issue that affects the performance of software fault prediction models built based on these datasets. Two necessary components of fault prediction models, software metrics and fault data, are collected from the software projects developed with object-oriented programming paradigm. We proposed an outlier detection algorithm based on these kinds of metrics thresholds. We used Random Forests machine learning classifier on two software measurement datasets collected from jEdit open-source text editor project and experiments revealed that our outlier detection approach improves the performance of fault predictors based on Random Forests classifier.

关键词： detection algorithms Fault detection Software measurement Object oriented modeling Predictive models Open source software Software performance Software metrics Object oriented programming Machine learning

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