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...
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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.
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 ...
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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.
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 wit...
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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.
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 be...
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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.
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...
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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.
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 detect...
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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.
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 focu...
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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.
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 explo...
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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.
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...
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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.
In this paper, we investigate the application of hexagonal quadrature amplitude modulation (HQAM) in reconfigurable intelligent surface (RIS)-assisted networks, specifically focusing on its efficiency in reducing the ...
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ISBN:
(纸本)9798350344998;9798350345001
In this paper, we investigate the application of hexagonal quadrature amplitude modulation (HQAM) in reconfigurable intelligent surface (RIS)-assisted networks, specifically focusing on its efficiency in reducing the number of required reflecting elements. Specifically, we present analytical expressions for the average symbol error probability (ASEP) and propose a new metric for conditioned energy efficiency, which assesses the network's energy consumption while ensuring the ASEP remains below a certain threshold. Additionally, we introduce an innovative detection algorithm for HQAM constellations, which demonstrates a substantial reduction in computational complexity. Finally, our study reveals that HQAM significantly enhances both the ASEP and energy efficiency compared to traditional quadrature amplitude modulation (QAM) schemes.
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