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检索条件"主题词=detection algorithms"

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Evaluation of the kurtosis algorithm in detecting radio frequency interference from multiple sources

Evaluation of the kurtosis algorithm in detecting radio freq...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Sidharth Misra Roger De Roo Christopher Ruf Department of Atmospheric Oceanic and Space Sciences University of Michigan Ann Arbor MI USA

A few of the issues faced by the kurtosis detection algorithm on recent field campaigns is discussed here. The performance of the kurtosis algorithm in detecting multiple-source Radio Frequency Interference (RFI) is characterized. A new RFI statistical model is presented in the paper to take into account the behavior of RFI sources under a large foot-print. Results indicate the behavior of the kurtosis ratio under central-limit conditions due to large number of RFI sources.

关键词： detection algorithms Microwave radiometry Remote sensing Radiofrequency interference Detectors L-band

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Band selection in hyperspectral images based on the Fisher Linear Discriminant classifier

Band selection in hyperspectral images based on the Fisher L...

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IEEE Convention of the Electrical and ELectronic Engineers in Israel

作者： Y. Harari Z. Bar-Yehuda S.R. Rotman Department of Electrical and Computer Engineering Ben-Gurion University of the Negev Israel Imaging Sciences Center Rochester Institute of Technology USA

Hyperspectral data consists of three dimensional images; the third dimension is the spectral signature of each pixel. The question always arises: which bands should be used and how should they be weighted. In this paper, a band selection algorithm based on the Fisher's Linear Discriminant classifier (FLD) is implemented. An initial segmentation of the image into two different classes (gas and background) is used as an input for the FLD. The combination of bands to be used is selected based on the FLD results.

关键词： Hyperspectral imaging Signal to noise ratio Image segmentation Correlation Pixel detection algorithms Eigenvalues and eigenfunctions

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Home recording for pre-phase sleep apnea diagnosis by Holter recorder using MMC memory

Home recording for pre-phase sleep apnea diagnosis by Holter...

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IEEE International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS)

作者： Atila Yilmaz Tolga Dündar Department of Electrical & Electronics Engineering Hacettepe University Ankara TURKEY Microelectronics ASELSAN Inc. Ankara TURKEY

Long time data recordings by ambulatory devices became common today with widespread use of high capacity memories. In this study, this technology is used on home recording device especially designed for the pre-phase sleep apnea analysis at home before having certain diagnosis by proper polysomnographic examination in a hospital. Designing a portable recording system for clinically significant signals and analyzing an associated apnea detection algorithm are two significant and complementary studies carried out and reported in this paper. According to our aim, the Holter device discussed here is capable of recordings from many channels simultaneously but specifically for this study we consider just three signals namely ECG, breathing activity and oxygen saturation which are all significant for apnea detection in polysomnographic diagnostic phase. In apnea detection part we have initially studied the algorithm based on Hilbert Transform of ECG signal. The study also includes the comparison of three selected QRS detection algorithms (digital filter based, differentiation based and higher order statistics based) for ECG processing required for the Hilbert transform based apnea detection algorithm. Differentiation based QRS algorithm is preferred over other two due to its better performance on noisy ECG signals.

关键词： Electrocardiography Sleep apnea Microcontrollers detection algorithms Medical diagnostic imaging Computers

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A Two-Tiered Cognitive Radio System for Interference Identification in 2.4 GHz ISM Band

A Two-Tiered Cognitive Radio System for Interference Identif...

引用

Consumer Communications and Networking Conference, CCNC IEEE

作者： Kunal Rele Dennis Roberson Bingjian Zhang Li Li Ying Bing Yap Tanim Taher Donald Ucci Kenneth Zdunek Department of Computer Science Illinois Institute of Technology Chicago IL USA Department of Electrical and Computer Engineering Illinois Institute of Technology Chicago IL USA

A detection module has been prototyped for cognitive radio usage in the industrial, scientific and medical (ISM) band using time domain as well as frequency domain detection. Duty cycle and pulse width characteristics are used for detection in the time domain. Fast Fourier transform (FFT) signatures and spectral occupancy information is used to confirm the detection in the frequency domain. The detection module is designed to behave dynamically. Varying the input parameters to the detector module adjusts the detection overhead. The overhead varies depending on the relative usage of a fast detection algorithm versus a slower but more accurate scheme; the number of device types to be detected; and whether frequency-selective scanning or wide-band detection is needed. The prototype is built on a software radio platform and is targeted for future software defined radios (SDR), and can be adapted to current and future orthogonal frequency division multiplexed (OFDM) systems.

关键词： Cognitive radio Interference Frequency domain analysis Software radio Radiofrequency identification Prototypes Space vector pulse width modulation Fast Fourier transforms Detectors detection algorithms

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An ANFIS-IDS against deauthentication DOS attacks for a WLAN

An ANFIS-IDS against deauthentication DOS attacks for a WLAN

引用

International Symposium on Information Theory and Its Applications, ISITA

作者： Jeich Mar Yow-Cheng Yeh I-Fan Hsiao Department of Communications Engineering Yuan-Ze University Taoyuan Taiwan

In this paper, an intrusion detection system (IDS) based on adaptive neuro-fuzzy inference system (ANFIS) rule is realized to minimize the detection delay for the deauthentication denial-of-service (DOS) attacks on the medium access control (MAC) layer of a wireless local area network (WLAN). Both the average sequence number gap (SNG) between the successive packets and the average statistical value of the de-authentication packets received by an Access Point (AP) are used to detect the deauthentication DoS attack. The proposed ANFIS-IDS experimental platform is implemented and tested against real deauthentication DoS attack to empirically evaluate its average detection delay (ADD) and average false alert rate (FAR). The performance of the IDS using the proposed ANFIS method is compared with non-parametric sequential change point detection (NPSCPD) algorithm in a practical WLAN environment.

关键词： Wireless LAN detection algorithms Computer crime Intrusion detection Least squares approximation IEEE 802.11 Standards Algorithm design and analysis

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An intelligent high-frame-rate video logging system with real-time image processing at 1000 fps

An intelligent high-frame-rate video logging system with rea...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Idaku Ishii Yaodong Wang Takeshi Takaki Hiroshima University Japan

This paper introduces an intelligent high-frame-rate video logging system that can automatically detect high-speed unpredictable behavior and record video comprising images with dimensions of 512 × 512 pixels at 1000 fps. To capture high-frame-rate video of crucial moments of abnormal behavior in high-speed periodic motion, a real-time abnormal behavior detection algorithm is implemented on a highspeed vision platform, IDP Express, which can record both input images and processed results at 1000 fps for video logging. Several experiments were performed using a machine with repetitive operation at a frequency of 15 Hz and video of the abnormal behavior was automatically recorded to verify the effectiveness of our system.

关键词： Pixel Cameras Metals Head Streaming media Synchronization detection algorithms

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Marking-Points Matching and Tracking Methods in Micro-table Posture Measurement System

Marking-Points Matching and Tracking Methods in Micro-table ...

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International Conference on Measuring Technology and Mechatronics Automation, ICMTMA

作者： Helei Zhu Hang Li Yujun Xue Songge Yang Jishun Li School of Mechatronic Engineering Henan University of Science & Technology Luoyang China

Based on binocular visual theory, a new method is proposed for solving the marking-points matching and tracking issues in the micro-table 3D posture measurement system. The four marking-points of the micro-table are detected by Harris corner detection algorithm, an improved epipolar constraint match method is used to make the corresponding marking-points be restricted in a region, circle region search method is used to match the same marking-point, and the template-based recognition algorithm is used to track the marking-points in real-time image frames. The experiment results verify the effectiveness of this method.

关键词： Cameras Position measurement Mechatronics detection algorithms Manufacturing processes Automation Search methods Image recognition Image matching Production

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Automatic segmentation of video to aid the study of faucet usability for older adults

Automatic segmentation of video to aid the study of faucet u...

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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Jasper Snoek Babak Taati Yulia Eskin Alex Mihailidis Intelligent Assistive Technology and Systems Lab (IATSL) University of Toronto Toronto ONT Canada

Assessing the usability of objects for a specific population can be laborious and time consuming. Furthermore, for the older adult population, the usability of objects involved in the completion of tasks of daily living is critical to `aging-in-place' and the preservation of independence. This paper explores the automation of the process of observing older adults with Alzheimer's as they use various types of faucets. Features extracted from video and audio signals encode the subjects' progression through a hand-washing task and temporal segmentation is used to determine the state of the process at each video frame. Histograms of optical flow, a hand-tracking particle filter, and a water detection algorithm are used to extract features encoding the state of the handwashing process. A Hidden Markov Support Vector Machine is used to label each video frame of the handwashing process as belonging to one of five states with an overall accuracy of 93.58%.

关键词： Usability Feature extraction Automation Signal processing Histograms Optical filters Image motion analysis Particle filters detection algorithms Encoding

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On Steganalysis of Invisible Characters Hidden in Webpage

On Steganalysis of Invisible Characters Hidden in Webpage

引用

International Conference on Electrical and Control Engineering (ICECE)

作者： Guang Sun Department of Information Management Hunan College of Financial and Economics Changsha China

Invisible characters, such as spaces and tabs, can be hidden at the end of each line of webpage, and covert communication happens. To determine whether there is hidden information in webpage, the singular character detection algorithm is presented. The threshold of the detection algorithm is trained to balance the false positive and false negative. The detection method is easy to achieve, and experiments prove the efficiency and reliability of the method.

关键词： Internet Sun Multimedia communication Watermarking Computer science detection algorithms

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Research on the taxi traffic accident and violation identification model

Research on the taxi traffic accident and violation identifi...

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

作者： Zheng-ke Zhang Transportation Bureau of Jingyuan City Jingyuan China

The taxi accident reasons were analysed deeply and the special taxi supervising system for preventing taxi break traffic regulations and reducing taxi traffic accident were established. After analysing the deeply level reasons that taxi traffic accident occurred from driver and passenger psychological, vehicle performance, service facility, operation condition and mechanism, quantity control and management system, etc., the paper put forward that the traffic supervising system must be effective and the identification must be accurate. it is the effective measure of prevention taxi traffic accident to eliminate taxi driver lucky psychology. According to the effective supervising of taxi, a kind of accurate violation identification mathematics model is designed. By using twice detection algorithm, the identification can be accurate and the taxi effective supervising can realize. The violation identification model and detection algorithm can effective supervise taxies, and the lucky psychology of taxi driver can be eliminated, and the taxi traffic accident rate can be decreased.

关键词： Road accidents detection algorithms Vehicle driving Traffic control Vehicles Psychology Robotics and automation Cities and towns Change detection algorithms Lighting

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