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5th International Symposium on Photoelectronic detection and Imaging (ISPDI) - Infrared Imaging and Applications

作者： Zuo Shao-ping Meng Xiang-long Liu Jin-jiang Liu Guo-quan Li Hong-tao Baicheng Ordnance Test Ctr China Baicheng 137001 Peoples R China

ISBN: (纸本)9780819497765

A point target detection algorithm for IR image is proposed based on spatial statistics. Firstly, according to the spatial correlation of atmosphere background in infrared image, the spatial statistical analysis method is adopted, and a background suppression algorithm based on Kriging is put forward. Secondly, using peak detection algorithm merged with Kriging, the problem of high false-alarm probability for adaptive threshold filter is solved by dual channel filter. The result shows that the detection probability of the algorithm reaches to 99 percent when the input SCR is no less than 6 and probability of false alarm is between 1x10(-3) and 1x10(-4).

关键词： detection algorithm Spatial statistics Semivariogram Kriging Dual channel filter

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In-vivo quality assurance of dynamic tumor tracking (DTT) for liver SABR using EPID images

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JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS 2023年第7期24卷 e13969页

作者： Rostamzadeh, Maryam Luchka, Kurt Ma, Roy Liu, Mitchell Dunne, Emma Camborde, Marie-Laure Karan, Tania Mestrovic, Ante Bergman, Alanah Univ British Columbia Dept Phys & Astron Vancouver BC Canada BC Cancer Vancouver Med Phys Dept Vancouver BC Canada BC Cancer Vancouver Radiat Oncol Dept Vancouver BC Canada Univ British Columbia Dept Phys & Astron 325-6224 Agr Rd Vancouver BC V6T 1Z1 Canada

PurposeTo assess dynamic tumor tracking (DTT) target localization uncertainty for in-vivo marker-based stereotactic ablative radiotherapy (SABR) treatments of the liver using electronic-portal-imaging-device (EPID) images. The Planning Target Volume (PTV) margin contribution for DTT is estimated. MethodsPhantom and patient EPID images were acquired during non-coplanar 3DCRT-DTT delivered on a Vero4DRT linac. A chain-code algorithm was applied to detect Multileaf Collimator (MLC)-defined radiation field edges. Gold-seed markers were detected using a connected neighbor algorithm. For each EPID image, the absolute differences between the measured center-of-mass (COM) of the markers relative to the aperture-center (Tracking Error, (E-T)) was reported in pan, tilt, and 2D-vector directions at the isocenter-plane. Phantom studyAn acrylic cube phantom implanted with gold-seed markers was irradiated with non-coplanar 3DCRT-DTT beams and EPID images collected. Patient Study: Eight liver SABR patients were treated with non-coplanar 3DCRT-DTT beams. All patients had three to four implanted gold-markers. In-vivo EPID images were analyzed. ResultsPhantom Study: On the 125 EPID images collected, 100% of the markers were identified. The average +/- SD of E-T were 0.24 +/- 0.21, 0.47 +/- 0.38, and 0.58 +/- 0.37 mm in pan, tilt and 2D directions, respectively. Patient Study: Of the 1430 EPID patient images acquired, 78% had detectable markers. Over all patients, the average +/- SD of E-T was 0.33 +/- 0.41 mm in pan, 0.63 +/- 0.75 mm in tilt and 0.77 +/- 0.80 mm in 2D directions The random 2D-error, sigma, for all patients was 0.79 mm and the systematic 2D-error, sigma, was 0.20 mm. Using the Van Herk margin formula 1.1 mm planning target margin can represent the marker based DTT uncertainty. ConclusionsMarker-based DTT uncertainty can be evaluated in-vivo on a field-by-field basis using EPID images. This information can contribute to PTV margin calculations for DTT.

关键词： detection algorithm dynamic tumor tracking EPID marker detection position verification

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A Novel Intelligent SIC Detector for NOMA Systems Based on Deep Learning 93

A Novel Intelligent SIC Detector for NOMA Systems Based on D...

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IEEE 93rd Vehicular Technology Conference (VTC-Spring)

作者： Fu, Jialiang Xiao, Yue Liu, Haoran Yang, Ping Zhang, Bo Univ Elect Sci & Technol China Natl Key Lab Sci & Technol Commun Chengdu 611731 Sichuan Peoples R China Natl Innovat Inst Def Technol Artificial Intelligence Res Ctr Beijing Peoples R China

ISBN: (纸本)9781728189642

In this paper, we propose a novel intelligent successive interference cancellation (SIC) detection algorithm, namely I-SIC, for the uplink non-orthogonal multiple access (NOMA) system. Compared with some traditional SIC detection algorithms based on channel state information (CSI) and quality of service (QoS), the proposed I-SIC can learn the implied characteristics in the received signal, channel state information and power information through deep neural network (DNN), so as to more intelligently provide sorting scheme for SIC detection algorithm and further improve the detection performance of the system. Experimental results show that compared with the traditional SIC detection algorithm based on CSI (CSI-SIC), this algorithm can significantly improve the detection performance of the system(up to 6 dB for three-user scenario with QPSK modulation).

关键词： Deep neural network detection algorithm NOMA sorting scheme successive interference cancellation

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Ventricular tachycardia detection with the subcutaneous implantable cardioverter-defibrillator: Tracing the cause of an absent tracing

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HeartRhythm Case Reports 2020年第2期6卷 77-80页

作者： Mansour, Fadi Khairy, Paul Electrophysiology Service Centre Hospitalier de l'Université de Montréal (CHUM) Montreal Canada Electrophysiology Service Montreal Heart Institute Université de Montréal Montreal Canada

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A New Adaptive Mass Estimation Approach of Heavy Truck Based on Engine Torque Local Convex Minimum Characteristic at Low Speeds

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ENERGIES 2020年第7期13卷

作者： Jung, DaeYi Choi, Gyoojae Kunsan Natl Univ Sch Mech & Automot Engn Gunsan 54150 South Korea

This paper proposes a new mass estimation for a vehicle system, utilizing the characteristics of engine torque local convex minimum, where the mass can be estimated based on the driving forces and the longitudinal accelerations only. Fundamentally, this approach generally requires no other information about an aerodynamic effect, a road grade, or a rolling friction, which is usually demanded by the existing well-known longitudinal dynamics and adaptive filter-based estimation methods. The effectiveness of the proposed approach was evaluated and validated by both TruckSim/Simulink co-simulation and actual field test data. It is found that the proposed estimation technique is more favorable for a situation where the vehicle is exposed to low-speed regions. In addition to this new mass estimation strategy, other new and current existing methods were explored and are reviewed here. Moreover, this study suggested a guideline for a hybrid-type mass estimation strategy to predict a mass by combining a new method with an existing one for every speed.

关键词： vehicle mass estimation (Extended) Kalman filter recursive least square detection algorithm vehicle longitudinal dynamics

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An efficient algorithm and tool for detecting dangerous website vulnerabilities

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INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES 2020年第1期16卷 81-104页

作者： Long Hoang Viet Tuan Tong Anh Taniar, David Can Nguyen Van Hue Hoang Minh Son Nguyen Thi Kim Peoples Police Univ Technol & Logist Bac Ninh Vietnam Monash Univ Melbourne Vic Australia Minist Publ Secur Dept Publ Secur Sci Strategy & Hist Hanoi Vietnam Ton Duc Thang Univ Inst Computat Sci Div Computat Math & Engn Ho Chi Minh City Vietnam Ton Duc Thang Univ Fac Math & Stat Ho Chi Minh City Vietnam

Web applications are progressively developing and applied in most aspects of life. However, there exist a variety of dangerous website security vulnerabilities such as SQL injection and cross-site scripting. This creates the opportunity for hackers to exploit and attack websites for commercial or political purposes or fame. Some research and commercial software have been developed for scanning and detecting those vulnerabilities. In this paper, we present an efficient algorithmic study and tool to detect web security vulnerabilities. Experimental results show that the new method is capable of detecting vulnerabilities with high accuracy. Compared to popular commercial software on the market, our tool has faster performance and can detect a number of less common vulnerabilities such as shell injection, or file inclusion.

关键词： web security vulnerabilities SQL injection cross-site scripting detection algorithm

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Double-threshold CFAR detector in presence of subspace interference for MIMO radar

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IET SIGNAL PROCESSING 2020年第2期14卷 72-80页

作者： Li, Zhihua Su, Hongtao Zhou, Shenghua Hu, Qinzhen Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China

In this study, a constant false alarm rate (CFAR) decision scheme is devised for frequency diversity multiple-input-multiple-output (MIMO) radar. Under the assumption that there exists not only the unstructured disturbance but also the structured interference, a double threshold detector (DT-MGLRT) based on the modified generalised likelihood ratio test (MGLRT) algorithm is proposed, of which the first stage deals with the unknown parameters and the second stage determines the final decision. It is proved that the proposed detector possesses a CFAR with respect not only to the unknown spectral properties of the unstructured disturbance but also to the structured interference distribution. Finally, some experiment results indicate that the proposed detection algorithm has 2 dB signal-to-interference-plus-noise power ratio improvement on average in detection performance at a low computation and communication cost over conventional detection algorithms.

关键词： MIMO communication maximum likelihood estimation signal detection radar detection object detection covariance matrices radar clutter MIMO radar frequency diversity multiple-input-multiple-output radar unstructured disturbance double threshold detector DT-MGLRT modified generalised likelihood ratio test algorithm stage deals unknown parameters unknown spectral properties structured interference distribution detection algorithm 2 dB signal-to-interference-plus-noise power ratio improvement conventional detection algorithms threshold CFAR detector subspace interference MIMO radar constant false alarm rate decision scheme noise figure 2 0 dB

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Vision-based approach for predicting the probability of vehicle-pedestrian collisions at intersections

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IET INTELLIGENT TRANSPORT SYSTEMS 2020年第11期14卷 1447-1455页

作者： Zhou, Zhuping Peng, Yunlong Cai, Yifei Nanjing Univ Sci & Technol Xiaolingwei 200 Nanjing 210094 Peoples R China Southeast Univ Dongnandaxue 2 Nanjing 210096 Peoples R China

Road accidents impose serious problems on society. Possible collisions between vehicles and pedestrians must be detected before they occur so that a timely warning may be issued. By using the vision-based approach, this study presents an effective and efficient algorithm to estimate the vehicle-pedestrian collision probability at intersections. The real-time trajectories and movement parameters (position, speed, acceleration or direction) of vehicles and pedestrians are obtained based on state-of-the-art detection and tracking algorithm which include background subtraction method, faster regions with convolutional neural networks and optical flow method. To find the appropriate time to identify the latent collision risk for calculating the collision probability, this study defines the critical time based on different collision patterns of perception-reaction failure and evasive action failure. In addition, based on discrete acceleration and discrete angle, the authors get different extended trajectories which can include most situation when the conflict happened. Trajectories generation probability are given by the discrete choice probability model based on the Logit model to get the accurate collision probability. Real-world video data is implemented to demonstrate the approach. This proposed collision prediction method can provide some important results for designing the intelligent pedestrian signal timing schemes at intersections.

关键词： collision avoidance road traffic traffic engineering computing object detection probability road safety video signal processing road vehicles road accidents image sequences convolutional neural nets object tracking intelligent transportation systems pedestrians computer vision vision-based approach road accidents real-time trajectories tracking algorithm background subtraction convolutional neural networks optical flow collision risk trajectories generation probability discrete choice probability model collision prediction vehicle-pedestrian collision probability intelligent pedestrian signal timing intersections detection algorithm perception-reaction failure patterns evasive action failure patterns Logit model real-world video data

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Wavelength Shift Measurement With Resonance Characteristic Prediction algorithm Using Intensities at Discrete Wavelengths

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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2020年第8期69卷 5666-5672页

作者： Kim, Eudum Jeon, Su-Jin Kim, Sun-Ho Kim, Hyun Lee, Jae-Sang Choi, Young-Wan Chung Ang Univ Dept Elect & Elect Engn Seoul 06974 South Korea

In this article, we proposed a resonance characteristic prediction algorithm (RCPA) for calculating resonance characteristics using intensities at discrete points of wavelength. Given fundamental information of the resonator, such as free spectral range (FSR) and full-width half maximum (FWHM), the RCPA can be easily applied to reduce the cost and size of the measurement system for an optical resonator sensor. For example, with intensities at two wavelength points, the whole wavelength characteristics of the resonator can be generated from the derived fitting equation. To verify the RCPA, we designed and fabricated a Fabry-Perot interferometer (FPI) using 300 mu m of SU-8 2100 as a cavity medium and 100 nm of Cr thin film on a glass substrate. The fabricated FPI had an FSR of 2.35 nm and an FWHM of 1.59 nm. We observed that the wavelength characteristics of the FPI (1535-1537.5 nm) shifted by 0.33 nm/degrees C when the temperature changed from 25.3 degrees C to 27.1 degrees C in steps of 0.2 degrees C. With an optimized wavelength spacing of 0.31 nm adopted for this article, we confirmed that the resonance characteristic generated from the RCPA followed the same tendency with an average error of 6 pm and a maximum error of 14 pm, as compared with the full spectrum result from the optical spectrum analyzer. We also analyzed the errors due to the changing point number and point spacing. Based on the experimental results, we verified that the resonance characteristic can be measured successfully using at least two intensities at different wavelengths.

关键词： Optical resonators Wavelength measurement Temperature measurement Temperature Fitting Temperature control Optical variables measurement detection algorithm Fabry-Perot interferometer (FPI) optical resonator optical sensor resonance characteristic

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The CS algorithm: A novel method for high frequency oscillation detection in EEG

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JOURNAL OF NEUROSCIENCE METHODS 2018年 293卷 6-16页

作者： Cimbalnik, Jan Hewitt, Angela Worrell, Greg Stead, Matt Mayo Clin Mayo Syst Electrophys Lab Rochester MN USA St Annes Univ Hosp Brno Int Clin Res Ctr Brno Czech Republic

Background: High frequency oscillations (HFOs) are emerging as potentially clinically important biomarkers for localizing seizure generating regions in epileptic brain. These events, however, are too frequent, and occur on too small a time scale to be identified quickly or reliably by human reviewers. Many of the deficiencies of the HFO detection algorithms published to date are addressed by the CS algorithm presented here. New Method: The algorithm employs novel methods for: 1) normalization;2) storage of parameters to model human expertise;3) differentiating highly localized oscillations from filtering phenomena;and 4) defining temporal extents of detected events. Results: Receiver-operator characteristic curves demonstrate very low false positive rates with concomitantly high true positive rates over a large range of detector thresholds. The temporal resolution is shown to be +/-similar to 5 ms for event boundaries. Computational efficiency is sufficient for use in a clinical setting. Comparison with existing methods: The algorithm performance is directly compared to two established algorithms by Staba (2002) and Gardner (2007). Comparison with all published algorithms is beyond the scope of this work, but the features of all are discussed. All code and example data sets are freely available. Conclusions: The algorithm is shown to have high sensitivity and specificity for HFOs, be robust to common forms of artifact in EEG, and have performance adequate for use in a clinical setting. (C) 2017 Elsevier B.V. All rights reserved.

关键词： High frequency oscillations HFO Ripples Frequency dominance detection algorithm

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