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Enhanced statistical detection of random telegraph noise in frequency and time domain

SOLID-STATE ELECTRONICS 2022年 194卷

作者： Gauthier, Owen Haendler, Sebastien Scheer, Patrick Vernhet, Alexandre Rafhay, Quentin Theodorou, Christoforos STMicroelectronics 850 Rue Jean Monnet F-38920 Crolles France Univ Savoie Mt Blanc Univ Grenoble Alpes CNRS Grenoble INPIMEP LAHC F-38000 Grenoble France

In this work, a new statistical detection method of Random Telegraph Noise (RTN) in the frequency domain is presented. An algorithm for the automated detection of Lorentzian spectra in the noise power spectral density (PSD) of a device is proposed, which enables the processing of a large amount of experimental data. Using 40 nm Bulk CMOS technology as a test vehicle, we demonstrate that the detection of Lorentzian spectra in the noise PSD allows an easier, faster, and often more precise detection of RTN presence compared to the time domain detection.

关键词： Random telegraph noise Lorentzian noise detection algorithm Statistical analysis CMOS transistor

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Automatic Full Slip detection System implemented on the Strain-based Intelligent Tire at severe maneuvers

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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2023年 183卷

作者： Fernanda Mendoza-Petit, Ma Garcia-Pozuelo, Daniel Diaz, Vicente Gutierrez-Moizant, Ramon Olatunbosun, Oluremi Univ Carlos III Madrid Mech Engn Dept Avd Univ Madrid 28911 Spain Univ Birmingham Sch Mech Engn Birmingham B15 2TT W Midlands England

Tires are the only components of vehicles in contact with the road surface. The tire-road interaction yields many dynamic parameters that have an impact on the final behavior of the vehicle, such as the forces in the tire-road interaction, the length of the contact patch, the velocity in the contact patch, and the effective radius of the tire. Previous studies have shown the feasibility of estimating these parameters through the strain curves measured with a tire instrumented with strain gauges, denoted as Strain-based Intelligent Tire. These parameters are required to characterize the loss of grip in the tire-road interaction. Nonetheless, the time and computer resources required for estimating the level of adherence is not compatible with the need of current active control systems, and the instant data retrieval about the tire-road surface. The objective of this paper is to present a novel methodology in order to develop an Automatic Full Slip detection System implemented on the Strain-based Intelligent Tire, while the specific developments for real time will be studied in the further steps of this research. This system operates with two conditions or states in the tire, namely, full sliding situation or non-full sliding situation. The inputs required to provide the tire condition are the strain curves measured when the tire is rolling. Therefore, the algorithms implemented in order to estimate the limit of adherence are presented. To delimit the states, the technique Support Vector Machines (SVM) is used to generate a separation hyperplane between these states. Support Vector Machines (SVM) is one of the most widely used supervised learning algorithms in the area of image recognition and, until now, had not been implemented in the automatic recognition of tire full slip detection.

关键词： Intelligent tire Strain gauges detection algorithm LuGre model Limit grip Vehicle dynamics

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Three-level Anomaly Disposal System Model Based on Danger Theory

Three-level Anomaly Disposal System Model Based on Danger Th...

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4th International Conference on Wireless Communications, Networking and Mobile Computing

作者： Fu, Hai-Dong Li, Gui-Feng Wuhan Univ Sci & Technol Coll Comp Sci & Technol Wuhan 430065 Hubei Peoples R China

ISBN: (纸本)9781424421077

In order to improve the intrusion detection system based on traditional immune theory, a new three levels anomaly disposal system model based on danger theory was proposed in this paper. The data stream is treated with three levels anomaly disposal in the model, the first level is to recognize the danger and remove the data of non-danger which will not bring damage to the system, for the second level is all dangerous abnormal invasions which will be classified properly, and then the danger will be solved finally at the third level. The designed model improved the system's "danger" recognition, reduced the false alarm as well as failed alarm efficiently, and it has strong robustness and cognitive learning ability.

关键词： danger theory anomaly disposal intrusion detection immune system detection algorithm

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Muzzle flash localization for the dismounted soldier 24

Muzzle flash localization for the dismounted soldier

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Conference on Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV

作者： Scott, Will Kennedy QinetiQ Farnborough GU14 0LX Hants England

ISBN: (纸本)9781628415902

The ability to accurately and rapidly know the precise location of enemy fire would be a substantial capability enhancement to the dismounted soldier. Acoustic gun-shot detections systems can provide an approximate bearing but it is desired to precisely know the location (direction and range) of enemy fire;for example to know from 'which window' the fire is coming from. Funded by the UK MOD (via Roke Manor Research) QinetiQ is developing an imaging solution built around an InGaAs camera. This paper presents work that QinetiQ has undertaken on the Muzzle Flash Locator system. Key technical challenges that have been overcome are explained and discussed in this paper. They include;the design of the optical sensor and processing hardware to meet low size, weight and power requirements;the algorithm approach required to maintain sensitivity whilst rejecting false alarms from sources such as close passing insects and sun glint from scene objects;and operation on the move. This work shows that such a sensor can provide sufficient sensitivity to detect muzzle flash events to militarily significant ranges and that such a system can be combined with an acoustic gunshot detection system to minimize the false alarm rate. The muzzle flash sensor developed in this work operates in real-time and has a field of view of approximately 29 degrees (horizontal) by 12 degrees (vertical) with a pixel resolution of 0.13 degrees. The work has demonstrated that extension to a sensor with realistic angular rotation rate is feasible.

关键词： Muzzle flash gunshot detection acoustic gunshot detection ingaas detection algorithm clutter rejection dismounted soldier

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Radar Based Heartbeat Estimation in Time Domain 15

Radar Based Heartbeat Estimation in Time Domain

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15th German Microwave Conference (GeMiC)

作者： Tchameni, Michelle R. Schiffer, Christian Luecken, Volker Diewald, Andreas R. Schroeder, Udo Univ Appl Sci Lab Radar Technol & Opt Syst Trier Germany IEE SA Basics & Math Models Bissen Luxembourg

ISBN: (纸本)9783982039732

Non-contact methods for monitoring vital signs, like the heartbeat, offer convenience and hygiene benefits but face challenges in achieving accurate and reliable results. In this paper, we propose a novel approach for estimating heartbeat peaks in radar signals using a cross-correlation method based on a template function. By applying this correlative method to phase-extracted radar signals recorded from breathing individuals, cardiac information is isolated and heartbeat peaks are identified over time. Experiments using a 24 GHz FMCW radar system have been conducted, comparing the results with synchronized ECG data. Our approach not only demonstrates the effectiveness of non-contact cardiac monitoring but also showcases its potential for providing valuable insights into improved vital signs monitoring. This work showcases the potential of radar technology for real-time vital sign monitoring and healthcare applications.

关键词： FMCW radar time measurement vital signs monitoring cross correlation detection algorithm

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Hough Transform-Based Large Dynamic Reflection Coefficient Micro-Motion Target detection in SAR

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SENSORS 2019年第14期19卷 3227.-3227.页

作者： Zhou, Yang Bi, Daping Shen, Aiguo Wang, Xiaoping Wang, Shuliang Natl Univ Def Technol Coll Elect Engn Hefei 230037 Anhui Peoples R China

Special phase modulation of SAR echoes resulted from target rotation or vibration, is a phenomenon called the micro-Doppler (m-D) effect. Such an effect offers favorable information for micro-motion (MM) target detection, thereby improving the performance of the synthetic aperture radar (SAR) system. However, when there are MM targets with large differences in reflection coefficient, the weak reflection components will be difficult to be detected. To find a solution to this problem, we propose a novel algorithm. First, we extract and detect the strongest reflection component. By removing the strongest reflection component from the original azimuth echo one by one, we realize the detection of reflection components sequentially, from the strongest to the weakest. Our algorithm applies to detecting MM targets with different reflection coefficients and has high precision of parameter estimation. The results of simulation and field experiments verify the advantages of the algorithm.

关键词： synthetic aperture radar (SAR) micro-Doppler effect detection algorithm parameter estimation TF analysis Hough transform large dynamic reflection coefficient

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A Greedy algorithm for Detecting Mutually Exclusive Patterns in Cancer Mutation Data 7th

A Greedy Algorithm for Detecting Mutually Exclusive Patterns...

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7th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO)

作者： Yang, Chunyan Zheng, Tian Zhao, Zhongmeng He, Xinnuo Zhang, Xuanping Xiao, Xiao Wang, Jiayin Xi An Jiao Tong Univ Sch Elect & Informat Engn Dept Comp Sci & Technol Xian 710049 Peoples R China Xi An Jiao Tong Univ Sch Publ Policy & Adm Xian 710049 Peoples R China

ISBN: (纸本)9783030179380;9783030179373

Some somatic mutations are reported to present mutually exclusive patterns. It is a basic computational problem to efficiently extracting mutually exclusive patterns from cancer mutation data. In this article, we focus on the inter-set mutual exclusion problem, which is to group the genes into at least two sets, with the mutations in the different sets mutually exclusive. The proposed algorithm improves the calculation of the score of mutual exclusion. The improved measurement considers the percentage of supporting cases, the approximate exclusivity degree and the pair-wise similarities of two genes. Moreover, the proposed algorithm adopts a greedy strategy to generate the sets of genes. Different from the existing approaches, the greedy strategy considers the scores of mutual exclusion between both the genes and virtual genes, which benefits the selection with the size restrictions. We conducted a series of experiments to verify the performance on simulation datasets and TCGA dataset consisting of 477 real cases with more than 10 million mutations within 28507 genes. According to the results, our algorithm demonstrated good performance under different simulation configurations. In addition, it outperformed CoMEt, a widely-accepted algorithm, in recall rates and accuracies on simulation datasets. Moreover, some of the exclusive patterns detected from TCGA dataset were supported by published literatures.

关键词： Cancer genomics Somatic mutation analysis Mutually exclusive pattern detection algorithm Greedy strategy

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Prediction of soil effects on GPR signatures

Prediction of soil effects on GPR signatures

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Conference on detection and Remediation Technologies for Mines and Minelike Targets IX

作者： Rhebergen, JB Lensen, HA van Wijk, R Hendrickx, JMH van Dam, R Borchers, B TNO FEL NL-2509 JG The Hague Netherlands

ISBN: (纸本)0819453382

In previous work we have shown that GPR signatures are affected by soil texture and soil water content. In this contribution we will use a three dimensional electromagnetic model and a hydrological soil model to explore in more detail the relationships between GPR signatures, soil physical conditions and GPR detection performance. First, we will use the HYDRUS2D hydrological model to calculate a soil water content distribution around a land-mine. This model has been verified against measured soil water distributions in previous work. Next, we will use existing pedotransfer functions (e.g. Topp, Peplinski, Dobson, Ulaby) to convert the predicted soil water contents around the land-mines as well as known soil textures and bulk densities into soil parameters relevant to the electromagnetic behaviour of the soil medium. This will enable a mapping-between the hydrological model and the electromagnetic GPR model. Using existing and new laboratory and field measurements from the land-mine test facilities at TNO-FEL we will make a first attempt to verify our modelling approach for the prediction of GPR signatures in field soils. Finally a detection algorithm is used to evaluate the GPR detection performance with respect to changing environmental soil conditions.

关键词： mine detection soil water distribution modelling land mine anti tank mine anti personnel mine test facility relative permittivity dielectric constant ground penetrating radar GPR detection algorithm

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Research on Extracting Potential DC Arc Fault Features Based on Data Mining Methods 68

Research on Extracting Potential DC Arc Fault Features Based...

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68th IEEE Holm Conference on Electrical Contacts (HOLM)

作者： Wu, Hancong Ge, Shiwei Zhou, Yingqing Meng, Yu Li, Xingwen Chen, Silei Wang, Xiaoshuai Xi An Jiao Tong Univ State Key Lab Elect Insulat & Power Equipment Xian Peoples R China Zhejiang Tengen Elect Co Ltd Jiaxing Peoples R China Xian Univ Technol Sch Elect Engn Xian Peoples R China

ISBN: (纸本)9798350342468

Due to the great difference in the properties of cable materials used in DC lines, the time-frequency features of DC arc fault that are easy to extract are difficult to take into account various cable materials. Therefore, it is necessary to mine potential arc fault features of different materials from the arc fault signals to meet the needs of distinguishing fault state from normal state. Firstly, the current waveforms of DC arc fault are obtained from the experiments of different electrode materials, four type of data mining methods are used to mine the potential DC arc fault information in the current signals to extract the DC arc fault detection features. Then, based on the principles of the proposed data mining methods, the mining results are compared to obtain the optimal mining features for various electrode materials. Finally, the construction of DC arc fault detection algorithm for different electrode materials is realized based on SVM model. The detection results indicate that the potential arc fault features can increase the accuracy of arc fault detection.

关键词： DC arc fault data mining detection algorithm PV system

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Hyperspectral Image Classification via Support Vector Data Description 24

Hyperspectral Image Classification via Support Vector Data D...

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24th Signal Processing and Communication Application Conference (SIU)

作者： Mutlu, Huseyin Emre Erdem, Seniha Esen Yuksel Hacettepe Univ Elekt & Elekt Muhendisligi Bolumu Ankara Turkey

ISBN: (纸本)9781509016792

In this study, Support Vector Data Description (SVDD) method is used for the classification of hyperspectral data, and a new outlier elimination method is proposed to increase the classification rates of the SVDD. The method is applied to the Pavia University (Italy) hyperspectral data which was acquired by flights over the university campus and has ground truth. Well-known and commonly applied detection algorithms "Spectral Angle Mapper" (SAM), "Spectral Matched Filter" (SMF), "Constrained Energy Minimization" (CEM) and "Adaptive Coherence/Cosine Estimator" (ACE) were prefered as performance referance. Performance of the SVDD classifier and these four algorithms was compared. Although the SVDD could not perform as well as the others, its performance was significantly improved by the proposed outlier removal method.

关键词： support vector data description classifier detection algorithm

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