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Automated detection and Characterization of ESD-Induced Soft Failures Using Image- and Audio-Based Methods

IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY 2020年第4期62卷 1546-1554页

作者： Izadi, Omid Hoseini Meiguni, Javad Araki, Kenji Shumiya, Hideki Pommerenke, David J. Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65409 USA Sony Global Mfg & Operat Corp Tokyo 1080075 Japan Graz Univ Technol Inst Elect A-8010 Graz Austria

Audio- and image-based soft failure detection methods are developed, which can detect both severe failures (such as system hang) and subtle ones (such as glitch or a momentary disturbance on display). Incorporating the developed detection methods with a robotic ESD (electrostatic discharge) tester, we developed a fully automated soft failure investigation tool. Using this fully automated tool, we obtained failure-specific susceptibility maps for a camera (our target device). These susceptibility maps not only illustrated the sensitive locations of the device, they also showed what type of soft failure is correlated with which locations.

关键词： Electrostatic discharges Image edge detection Probes Webcams Strips Robots Automatization detection algorithm electrostatic discharge (ESD) immunity test signal processing soft failure susceptibility map

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On the potential for automated realtime detection of nonlinear internal waves from seafloor pressure measurements

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APPLIED OCEAN RESEARCH 2011年第4期33卷 275-285页

作者： Stoeber, Uwe Moum, James N. Univ Bremen Inst Umweltphys D-28359 Bremen Germany Oregon State Univ Coll Ocean & Atmospher Sci Corvallis OR 97331 USA

Because of the large forces they exert, large amplitude, highly nonlinear internal waves (NLIWs) represent a potential danger for offshore structures. This threat has prompted expensive operational observations to guarantee the safety of drilling platforms. The potential for automated detection using seafloor pressure measurements is investigated here, using data from New Jersey's continental shelf. The detection algorithm is first tested using the complete time series. detection in the pressure record is verified by comparison to coincident velocity measurements permitting identification of false positives and false negatives. The detection algorithm achieves 100% success for NLIWs with pressure amplitude >250 Pa, roughly equivalent to vertical velocity 0.1 m s(-1), or a moderately energetic NLIW on New Jersey's continental shelf. Executed in pseudo-realtime mode, to simulate an automated detection scheme, waves >250 Pa are accurately detected with 1 h delay. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Nonlinear internal waves detection algorithm Realtime detection Offshore platform safety Inexpensive measurements

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Bio-inspired contour detection model based on multi-bandwidth fusion and logarithmic texture inhibition

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IET IMAGE PROCESSING 2019年第12期13卷 2304-2313页

作者： Lin, Chuan Li, Fuzhang Cao, Yijun Zhao, Haojun Guangxi Univ Sci & Technol Coll Elect & Informat Engn Liuzhou 545006 Peoples R China

Relevant physiological studies have revealed that the response of the classical receptive field (CRF) to visual stimuli could be suppressed by non-CRF (nCRF) inhibition of the kernel in the primary visual cortex (V1). Based on this mechanism, many bio-inspired contour detection models have been proposed, which are mainly achieved through CRF responses and nCRF surround inhibition calculation. In fact, the dynamic characteristics of neurons play an important role in contour detection in biological vision. Inspired by these visual mechanisms, the authors propose a contour detection model that emulates these dynamic characteristics. By introducing a multi-bandwidth Gabor filter, according to the target image, they can effectively adjust the weight ratios of the filter to protect the contours and filter the background textures in the calculation of CRF responses. Additionally, they logarithmically modulate the nCRF inhibition kernel to make texture suppression more flexible and effective, thus improving the accuracy of detection algorithm as a whole. Compared with existing bio-inspired contour detection models, the proposed model is more effective at contour detection, which will aid engineering applications that utilise pattern recognition in machine vision.

关键词： pattern recognition visual perception object detection Gabor filters computer vision image texture bio-inspired contour detection model multibandwidth fusion logarithmic texture inhibition visual stimuli primary visual cortex CRF responses dynamic characteristics visual mechanisms nCRF inhibition kernel detection algorithm bio-inspired contour detection models multi-bandwidth Gabor filter non-CRF inhibition

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Boundary matching detection for recovering erroneously received VQ indexes over noisy channels

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 1996年第1期6卷 108-113页

作者： Zeng, WJ Huang, YF UNIV NOTRE DAME DEPT ELECT ENGNLAB IMAGE & SIGNAL ANALNOTRE DAMEIN 46556

This paper addresses the issue of transmitting and reconstructing vector quantization (VQ) coded images over a noisy channel. It presents a novel approach which exploits the spatial contiguity and interpixel correlation of image data sequences, Specifically, a boundary-matching-based detection algorithm (BMDA) is proposed along with a principal-component-splitting-based indexing (PCSBI) scheme which organizes the codebook in a way similar to the GLA-splitting-rule-based indexing scheme in [9] so that some bits of an index are more important than others. Simulation results show that the proposed scheme yields significantly better visual quality and higher signal-to-noise ratio (SNR) than a maximum a posteriori (MAP) detection-based scheme [12], and has robust performance. It is also shown that incorporation of PCSBI with BMDA greatly reduces the detection complexity, thus facilitating the implementation of BMDA.

关键词： error correction codes error detection codes image coding image matching image reconstruction image sequences noise telecommunication channels vector quantisation BMDA PCSBI boundary matching detection codebook detection algorithm detection complexity er image coding Erbium image sequences image reconstruction Vector quantization error detection codes image matching codebook detection algorithms

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Change point algorithms applied to the detection of vortex structures in turbulent flows

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REVISTA INTERNACIONAL DE METODOS NUMERICOS PARA CALCULO Y DISENO EN INGENIERIA 2017年第3-4期33卷 225-234页

作者： Maranon Di Leo, J. Calandra, M. V. Delnero, J. S. Univ Nacl La Plata Unidad Invest Desarrollo Extens & Transferencia C Dept Aeronaut Fac Ingn Calle 116 Entre 47 & 48 RA-1900 La Plata Buenos Aires Argentina Univ Nacl La Plata Unidad Invest Desarrollo Extens & Transferencia Dept Ciencias Basicas Fac IngnGAMEFI Calle 115 & 50 RA-1900 La Plata Buenos Aires Argentina Consejo Nacl Invest Cient & Tecn Avda Rivadavia 1917C1033AAJ Buenos Aires DF Argentina

The present work shows the application of a change point model (CPM) algorithm, based on non parametric tests, to turbulent structures detection in an airflow. It seeks to detect the vortices generated in the wake of an airfoil, equipped with a passive flow control device (Gurney mini flap) in its trailing edge. By applying CPM models to the sample data, this paper seeks to determine the possible changes to the velocity fluctuations and compare the model's effectiveness to traditional methods. The main objective of this study is to detect the characteristic frequencies of the turbulent structures immersed in the airflow. The results show that the CPM methodology, based on the Cramer-von Mises (CPM-CvM) test, produces results that coincide with values predicted by traditional methods (less than 9.5% of mismatch), validating its use as a real time alternative tool for the analysis of these types of flows. Finally, this work shows a new application of CPM for detecting changes in a time-dependent random signal, which has an a priori unknown distribution. (C) 2016 CIMNE (Universitat Politecnica de Catalunya). Published by Elsevier Espana, S.L.U.

关键词： Turbulence Temporal scale Characteristic frequency detection algorithm Change point

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Statistical method for foveal detection in retinal angiograms

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ELECTRONICS LETTERS 2005年第11期41卷 632-633页

作者： Haddouche, A Adel, M Rasigni, M Bourennane, S Univ Paul Cezanne Aix Marseille 3 Inst Fresnel CNRS UMR 6133 Equipe GSM F-13397 Marseille France

A detection algorithm, aimed at separating the foveal avascular zone from the eye background in a numerical angiogram image, is developed. This method is based on the use of a test derived from signal statistical theory. Results show that our approach could be considered as a good computer-assisted tool for location and follow-up of retinal pathologies.

关键词： eye image recognition medical image processing statistical analysis vision defects computer-assisted tool detection algorithm eye background foveal avascular zone foveal detection numerical angiogram image retinal angiograms retinal pathologies signal st

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Indoor positioning and life detection by using asynchronous multiple frequency shift keying radar

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ELECTRONICS LETTERS 2015年第22期51卷 1817-1818页

作者： Liu, Z. Kim, Y. Bien, F. Ulsan Natl Inst Sci & Technol Sch Elect & Comp Engn Ulsan 689798 South Korea Cometach Corp Sch Elect & Comp Engn Ulsan 689798 South Korea

Indoor positioning and life detection using radio frequency has been widely researched;however, to achieve both indoor positioning and life detection has been a very challenging task until now. By careful design of the waveform and a novel detection algorithm, asynchronous multiple frequency shift keying (A-MFSK) is proposed to solve this task for the first time, which can operate between an MFSK mode and a single tone continuous wave mode, providing a possibility of A-MFSK for this task. Detailed explanation about the detection algorithm is given. Simulations and measurements results of both modes demonstrate that A-MFSK has the capability of indoor positioning and life detection.

关键词： frequency shift keying indoor navigation radionavigation signal detection A-MFSK mode asynchronous multiple frequency shift keying radar detection algorithm indoor positioning life detection radio frequency

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Accurate Fiducial Point detection Using Haar Wavelet for Beat-by-Beat Blood Pressure Estimation

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IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE 2020年 8卷 1页

作者： Singla, Muskan Azeemuddin, Syed Sistla, Prasad Int Inst Informat Technol Ctr VLSI & Embedded Syst Technol Hyderabad 500032 India Care Hosp Care Fdn Hyderabad 500034 India

Pulse Arrival Time (PAT) derived from Electrocardiogram (ECG) and Photoplethysmogram (PPG) for cuff-less Blood Pressure (BP) measurement has been a contemporary and widely accepted technique. However, the features extracted for it are conventionally from an isolated pulse of ECG and PPG signals. As a result, the estimated BP is intermittent. Objective: This paper presents feature extraction from each beat of ECG and PPG signals to make BP measurements uninterrupted. These features are extracted by employing Haar transformation to adaptively attenuate measurement noise and improve the fiducial point detection precision. Method: the use of only PAT feature as an independent variable leads to an inaccurate estimation of either Systolic Blood Pressure (SBP) or Diastolic Blood Pressure (DBP) or both. We propose the extraction of supplementary features that are highly correlated to physiological parameters. Concurrent data was collected as per the Association for the Advancement of Medical Instrumentation (AAMI) guidelines from 171 human subjects belonging to diverse age groups. An Adaptive Window Wavelet Transformation (AWWT) technique based on Haar wavelet transformation has been introduced to segregate pulses. Further, an algorithm based on log-linear regression analysis is developed to process extracted features from each beat to calculate BP. Results: The mean error of 0.43 and 0.20 mmHg, mean absolute error of 4.6 and 2.3 mmHg, and Standard deviation of 6.13 and 3.06 mmHg is achieved for SBP and DBP respectively. Conclusions: The features extracted are highly precise and evaluated BP values are as per the AAMI standards. Clinical Impact: This continuous real-time BP monitoring technique can be useful in the treatment of hypertensive and potential-hypertensive subjects.

关键词： Adaptive algorithm blood pressure detection algorithm electrocardiography feature extraction photoplethysmography regression analysis signal processing wavelet transforms

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Improved detection of faint streaks based on a streak-like spatial filter

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ADVANCES IN SPACE RESEARCH 2020年第1期65卷 364-378页

作者： Vananti, A. Schild, K. Schildknecht, T. Univ Bern Astron Inst Sidlerstr 5 CH-3012 Bern Switzerland

This paper presents an algorithm to detect very faint object streaks on CCD images acquired with an optical system. The proposed detection method uses image filters simulating the geometrical form and orientation of possible streaks on the CCD image. The method searches for a matching between streak and filter evaluating the convolutions of the image with all possible filters. Based on the statistics of the image background a threshold is applied in order to accept, respectively reject, the possible streak candidates. The detection probabilities and the effect of different parameter settings are estimated with tests on simulated images, while subframes of real images are used to evaluate the applicability of the algorithm to real cases. The detection probability of this method depends on the length and on the signal-to-noise ratio of the streak. For long streaks, a detection for signal-to-noise values around 0.5 is achieved. The further characterization of the detected streak (e.g. centroid and length), which is not performed in the current algorithm, and the reduction of the computation time, which is relatively high for full acquired frames, as well as possible improvements are briefly addressed. (C) 2019 COSPAR. Published by Elsevier Ltd. All rights reserved.

关键词： Streak detection detection algorithm Image processing Space debris

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Research on abnormal data detection of gas boiler supply based on deep learning network

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ENERGY REPORTS 2023年 9卷 226-233页

作者： Miao, Yanshu Liu, Jun Liu, Li Chen, Zhifeng Pang, Ming Harbin Inst Technol Sch Architecture Harbin 150001 Peoples R China Minist Ind & Informat Technol Key Lab Cold Reg Urban & Rural Human Settlement E Harbin 150001 Heilongjiang Peoples R China Heilongjiang Inst Technol Coll Civil & Architectural Engn Harbin 150001 Heilongjiang Peoples R China Harbin Univ Commerce Coll Management Harbin 150080 Heilongjiang Peoples R China Harbin Univ Commerce Coll Energy & Architectural Engn Harbin 150080 Heilongjiang Peoples R China Harbin Engn Univ Coll Intelligent Syst Sci & Engn Harbin 150001 Heilongjiang Peoples R China

On the basis of YOLO deep network detection method, a new abnormal data detection method is proposed to meet the needs of gas boiler abnormal data detection. In the feature extraction layer, the SENet structure is embedded between DBL and Pooling. Through compression, excitation and recalibration, the feature extraction of data information is more accurate. After feature extraction layer, multi-scale pooling processing mechanism is introduced to improve the learning efficiency of YOLO network. The first group and the second group of experiments respectively proved that the introduction of SENet structure and multi-scale pooling mechanism improved the feature extraction accuracy of YOLO network and the convergence speed of iteration process. The third group of experimental results show that the detection accuracy of the detection method proposed in this paper is significantly higher than CNN method, RNN method and YOLO method, and it is more suitable for the detection of abnormal data of gas boilers. (c) 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Gas fired boiler Abnormal data YOLO network detection algorithm

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