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Journal articles on the topic 'Electronic noise – Mathematical models'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Jondral, Friedrich K. "White Gaussian Noise – Models for Engineers." Frequenz 72, no. 5-6 (2018): 293–99. http://dx.doi.org/10.1515/freq-2017-0064.

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AbstractThis paper assembles some information about white Gaussian noise (WGN) and its applications. It starts from a description of thermal noise, i. e. the irregular motion of free charge carriers in electronic devices. In a second step, mathematical models of WGN processes and their most important parameters, especially autocorrelation functions and power spectrum densities, are introduced. In order to proceed from mathematical models to simulations, we discuss the generation of normally distributed random numbers. The signal-to-noise ratio as the most important quality measure used in comm

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Fedorko, Gabriel, David Heinz, Vieroslav Molnár, and Tomáš Brenner. "Use of mathematical models and computer software for analysis of traffic noise." Open Engineering 10, no. 1 (2020): 129–39. http://dx.doi.org/10.1515/eng-2020-0021.

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AbstractNoise measurement and evaluation of the existing noise situation is carried out in the vicinity of selected roads to demonstrate the need for the design of anti-noise measures or to assess the effectiveness of the measures. The selection and number of measuring points, time and intervals, the road noise measurement procedure and the measuring instruments used shall be used in accordance with the provisions of the STN ISO 1996-1 and STN ISO 1996-2 standards. During the measurement, it is also necessary to determine the microclimatic conditions of measurement, such as temperature and rel

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Riabukha, V. P., A. V. Semeniaka, and Ye A. Katiushyn. "Mathematical Models of Cross-Correlated and Uncorrelated Gaussian Noise Jamming from External Sources." Radioelectronics and Communications Systems 64, no. 3 (2021): 147–54. http://dx.doi.org/10.3103/s0735272721030043.

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4

Szupiluk, Ryszard, and Tomasz Ząbkowski. "EGLD system for noise identification in ensemble predictors." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, no. 6 (2014): 2006–15. http://dx.doi.org/10.1108/compel-11-2013-0354.

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Purpose – The purpose of this paper is to propose a noise identification method for data without temporal structure, in which application of typical mathematical white or colored noise models is very limited due to observation order requirements. The method is used to identify the destructive elements and to eliminate them what finally brings prediction improvement. Design/methodology/approach – The paper concerns noise detection problem presented in the framework of ensemble methods via blind signals separation. The authors utilize the Extended Generalized Lambda Distribution (EGLD) model to

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Lau, D. L., R. Ulichney, and G. R. Arce. "Blue- and green-noise halftoning models." IEEE Signal Processing Magazine 20, no. 4 (2003): 28–38. http://dx.doi.org/10.1109/msp.2003.1215229.

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6

Xue, Xiao Min, Qing Sun, and Xiao Hong Wu. "Anti-Noise Simulation of the Hysteresis Mathematic Model Using Computationally-Efficient GA." Applied Mechanics and Materials 226-228 (November 2012): 725–28. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.725.

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Hysteresis is a particular feature of a wide range of physical systems and devices such as electromagnetic fields, mechanical stress–strain elements and electronic relay circuits. The extended Bouc-Wen model is one of the most widely used hysteresis models in mechanics. It has the capability to emulate the behavior of a wide class of hysteretic systems. However multi parameters have plagued its further application because the capability of computer and algorithm available currently can not meet the need completely. Thus to exploit an effective parallel algorithm is very essential. This paper i

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Piazza, Alfredo J., and Can E. Korman. "Computation of the Spectral Density of Current Fluctuations in Bulk Silicon Based on the Solution of the Boltzmann Transport Equation." VLSI Design 6, no. 1-4 (1998): 185–89. http://dx.doi.org/10.1155/1998/75094.

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Numerical simulation results for the spectral density of noise due to current fluctuations are presented. The mathematical framework is based on the interpretation of the equations describing electron transport in the semiclassical transport model as stochastic differential equations (SDE). Within this framework, it was previously shown that the autocovariance function of current fluctuations can be obtained from the transient solution of the Boltzmann transport equation (BTE) with special initial conditions. The key aspect which differentiates this approach from other noise models is that thi

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CAVIN, RALPH K., VICTOR V. ZHIRNOV, JAMES A. HUTCHBY, and GEORGE I. BOURIANOFF. "ENERGY BARRIERS, DEMONS, AND MINIMUM ENERGY OPERATION OF ELECTRONIC DEVICES." Fluctuation and Noise Letters 05, no. 04 (2005): C29—C38. http://dx.doi.org/10.1142/s0219477505002951.

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The presence of thermal noise dictates that an energy barrier is needed to preserve a binary state. Therefore, all electronic devices contain at least one energy barrier to control electron flow. The barrier properties determine the operating characteristics of electronic devices. Furthermore, changes in the barrier shape require changes in charge density. Operation of all charge transport devices includes charging/discharging capacitances to change barrier height. We analyze energy dissipation for several schemes of charging capacitors. A basic assumption of Reversible Computing is that the c

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Kumar, K., D. Yadav, and B. V. Srinivas. "Adaptive noise models for extended Kalman filter." Journal of Guidance, Control, and Dynamics 14, no. 2 (1991): 475–77. http://dx.doi.org/10.2514/3.20665.

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10

Shi-Xiong Zhang, Anton Ragni, and Mark John Francis Gales. "Structured Log Linear Models for Noise Robust Speech Recognition." IEEE Signal Processing Letters 17, no. 11 (2010): 945–48. http://dx.doi.org/10.1109/lsp.2010.2077626.

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11

Noulis, T., S. Siskos, and G. Sarrabayrouse. "Analysis and selection criteria of BSIM4 flicker noise simulation models." International Journal of Circuit Theory and Applications 36, no. 7 (2008): 813–23. http://dx.doi.org/10.1002/cta.461.

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12

Chow, Winston C., and Paul W. Schumacher. "Using Fractional Gaussian Noise Models in Orbit Determination." Journal of Guidance, Control, and Dynamics 27, no. 2 (2004): 319. http://dx.doi.org/10.2514/1.5989.

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Chow, Winston C., and Paul W. Schumacher. "Using Fractional Gaussian Noise Models in Orbit Determination." Journal of Guidance, Control, and Dynamics 26, no. 4 (2003): 593–607. http://dx.doi.org/10.2514/2.5087.

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14

Dong, Junyu, Jun Liu, Kang Yao, et al. "Survey of Procedural Methods for Two-Dimensional Texture Generation." Sensors 20, no. 4 (2020): 1135. http://dx.doi.org/10.3390/s20041135.

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Textures are the most important element for simulating real-world scenes and providing realistic and immersive sensations in many applications. Procedural textures can simulate a broad variety of surface textures, which is helpful for the design and development of new sensors. Procedural texture generation is the process of creating textures using mathematical models. The input to these models can be a set of parameters, random values generated by noise functions, or existing texture images, which may be further processed or combined to generate new textures. Many methods for procedural textur

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Naranjo-Hernández, David, Javier Reina-Tosina, and Mart Min. "Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications." Journal of Sensors 2019 (July 15, 2019): 1–42. http://dx.doi.org/10.1155/2019/9210258.

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This work develops a thorough review of bioimpedance systems for healthcare applications. The basis and fundamentals of bioimpedance measurements are described covering issues ranging from the hardware diagrams to the configurations and designs of the electrodes and from the mathematical models that describe the frequency behavior of the bioimpedance to the sources of noise and artifacts. Bioimpedance applications such as body composition assessment, impedance cardiography (ICG), transthoracic impedance pneumography, electrical impedance tomography (EIT), and skin conductance are described and

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Carbone, A., and F. Palma. "Discontinuity correction in piecewise-linear models of oscillators for phase noise characterization." International Journal of Circuit Theory and Applications 35, no. 1 (2007): 93–104. http://dx.doi.org/10.1002/cta.383.

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Kozel, V. M., D. A. Podvornaya, and K. A. Kovalev. "Peal factor of signals of 5G mobile service systems." Doklady BGUIR 18, no. 6 (2020): 5–10. http://dx.doi.org/10.35596/1729-7648-2020-18-6-5-10.

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This article discusses the possible formats of signals of 5G mobile communication networks (NR, IMT-2020): configurations of the number of resource blocks and frequency shifts of subcarriers. modulation schemes, organizations of the physical level, as well as the broadband signals of these networks and, as a result, the need for introducing a margin on the linearity of the transceiver’s paths to eliminate distortion or the manifestation of blocking effects when the signal interferes with third-party means. We analyze the characteristics of the dynamic range of the signals from IMT-2020 ground

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Yuan, Jiangbin, Wenhe Yan, Shifeng Li, and Yu Hua. "Demodulation Method for Loran-C at Low SNR Based on Envelope Correlation–Phase Detection." Sensors 20, no. 16 (2020): 4535. http://dx.doi.org/10.3390/s20164535.

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Loran-C is the most important backup and supplement system for the global navigation satellite system (GNSS). However, existing Loran-C demodulation methods are easily affected by noise and skywave interference (SWI). Therefore, this article proposes a demodulation method based on Loran-C pulse envelope correlation–phase detection (EC–PD), in which EC has two implementation schemes, namely moving average-cross correlation and matched correlation, to reduce the effects of noise and SWI. The mathematical models of the EC, calculation of the signal-to-noise ratio (SNR) gain, and selection of the

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Lazarov. "Pulsar Emissions, Signal Modeling and Passive ISAR Imaging." Sensors 19, no. 15 (2019): 3344. http://dx.doi.org/10.3390/s19153344.

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The present work addresses pulsar Crab Nebula emissions from point of view of their modeling and applications for asteroid detection and imaging by applying inverse synthetic aperture radar (ISAR) principles. A huge value of the plasma’s effective temperature is a reason for pulsar emission coherency, a property of great practical meaning for a space objects navigation, localization and imaging. Based on measurement data obtained by Goldstone-Apple Valley and Arecibo radio telescopes, an original time frequency grid mathematical model of pulsar emissions is created. Passive ISAR scenario, a sp

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20

Palacios Játiva, Pablo, Milton Román Cañizares, Cesar A. Azurdia-Meza, et al. "Interference Mitigation for Visible Light Communications in Underground Mines Using Angle Diversity Receivers." Sensors 20, no. 2 (2020): 367. http://dx.doi.org/10.3390/s20020367.

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This paper proposes two solutions based on angle diversity receivers (ADRs) to mitigate inter-cell interference (ICI) in underground mining visible light communication (VLC) systems, one of them is a novel approach. A realistic VLC system based on two underground mining scenarios, termed as mining roadway and mine working face, is developed and modeled. A channel model based on the direct component in line-of-sight (LoS) and reflections of non-line-of-sight (NLoS) links is considered, as well as thermal and shot noises. The design and mathematical models of a pyramid distribution and a new hem

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Valada, Abhinav, and Wolfram Burgard. "Deep spatiotemporal models for robust proprioceptive terrain classification." International Journal of Robotics Research 36, no. 13-14 (2017): 1521–39. http://dx.doi.org/10.1177/0278364917727062.

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Terrain classification is a critical component of any autonomous mobile robot system operating in unknown real-world environments. Over the years, several proprioceptive terrain classification techniques have been introduced to increase robustness or act as a fallback for traditional vision based approaches. However, they lack widespread adaptation due to various factors that include inadequate accuracy, robustness and slow run-times. In this paper, we use vehicle-terrain interaction sounds as a proprioceptive modality and propose a deep long-short term memory based recurrent model that captur

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22

Li, Ji, Huiqiang Zhang, Jianping Ou, and Wei Wang. "A Multipulse Radar Signal Recognition Approach via HRF-Net Deep Learning Models." Computational Intelligence and Neuroscience 2021 (June 2, 2021): 1–9. http://dx.doi.org/10.1155/2021/9955130.

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In the field of electronic countermeasure, the recognition of radar signals is extremely important. This paper uses GNU Radio and Universal Software Radio Peripherals to generate 10 classes of close-to-real multipulse radar signals, namely, Barker, Chaotic, EQFM, Frank, FSK, LFM, LOFM, OFDM, P1, and P2. In order to obtain the time-frequency image (TFI) of the multipulse radar signal, the signal is Choi–Williams distribution (CWD) transformed. Aiming at the features of the multipulse radar signal TFI, we designed a distinguishing feature fusion extraction module (DFFE) and proposed a new HRF-Ne

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23

ITANO, Yuka, Shotaro MORIMOTO, Sadayuki YOSHITOMI, and Nobuyuki ITOH. "High-Q MOS Varactor Models for Quasi-Millimeter-Wave Low-Noise LC-VCOs." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E97.A, no. 3 (2014): 759–67. http://dx.doi.org/10.1587/transfun.e97.a.759.

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24

Deng, J., M. Bouchard, and T. H. Yeap. "Linear Dynamic Models With Mixture of Experts Architecture for Recognition of Speech Under Additive Noise Conditions." IEEE Signal Processing Letters 13, no. 9 (2006): 573–76. http://dx.doi.org/10.1109/lsp.2006.874462.

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25

Li, Ji, Huiqiang Zhang, Jianping Ou, and Wei Wang. "A Radar Signal Recognition Approach via IIF-Net Deep Learning Models." Computational Intelligence and Neuroscience 2020 (August 28, 2020): 1–8. http://dx.doi.org/10.1155/2020/8858588.

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In the increasingly complex electromagnetic environment of modern battlefields, how to quickly and accurately identify radar signals is a hotspot in the field of electronic countermeasures. In this paper, USRP N210, USRP-LW N210, and other general software radio peripherals are used to simulate the transmitting and receiving process of radar signals, and a total of 8 radar signals, namely, Barker, Frank, chaotic, P1, P2, P3, P4, and OFDM, are produced. The signal obtains time-frequency images (TFIs) through the Choi–Williams distribution function (CWD). According to the characteristics of the

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Yi, Sang-ri, and Junho Song. "Particle Filter Based Monitoring and Prediction of Spatiotemporal Corrosion Using Successive Measurements of Structural Responses." Sensors 18, no. 11 (2018): 3909. http://dx.doi.org/10.3390/s18113909.

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Prediction of structural deterioration is a challenging task due to various uncertainties and temporal changes in the environmental conditions, measurement noises as well as errors of mathematical models used for predicting the deterioration progress. Monitoring of deterioration progress is also challenging even with successive measurements, especially when only indirect measurements such as structural responses are available. Recent developments of Bayesian filters and Bayesian inversion methods make it possible to address these challenges through probabilistic assimilation of successive meas

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27

Kolarova, Edita, and Lubomir Brancik. "Confidence intervals for RLCG cell influenced by coloured noise." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, no. 4 (2017): 838–49. http://dx.doi.org/10.1108/compel-07-2016-0321.

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Purpose The purpose of this paper is to determine confidence intervals for the stochastic solutions in RLCG cells with a potential source influenced by coloured noise. Design/methodology/approach The deterministic model of the basic RLCG cell leads to an ordinary differential equation. In this paper, a stochastic model is formulated and the corresponding stochastic differential equation is analysed using the Itô stochastic calculus. Findings Equations for the first and the second moment of the stochastic solution of the coloured noise-affected RLCG cell are obtained, and the corresponding conf

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Le Besnerais, Jean, Vincent Lanfranchi, Michel Hecquet, Pascal Brochet, and Guy Friedrich. "Acoustic noise of electromagnetic origin in a fractional‐slot induction machine." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 27, no. 5 (2008): 1033–52. http://dx.doi.org/10.1108/03321640810890753.

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PurposeThe purpose of this paper is to apply a fast analytical model of the acoustic behaviour of pulse‐width modulation (PWM) controlled induction machines to a fractional‐slot winding machine, and to analytically clarify the interaction between space harmonics and time harmonics in audible electromagnetic noise spectrum.Design/methodology/approachA multilayer single‐phase equivalent circuit calculates the stator and rotor currents. Air‐gap radial flux density, which is supposed to be the only source of acoustic noise, is then computed with winding functions formalism. Mechanical and acoustic

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Krishnan, Sanjay, Animesh Garg, Sachin Patil, et al. "Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning." International Journal of Robotics Research 36, no. 13-14 (2017): 1595–618. http://dx.doi.org/10.1177/0278364917743319.

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Demonstration trajectories collected from a supervisor in teleoperation are widely used for robot learning, and temporally segmenting the trajectories into shorter, less-variable segments can improve the efficiency and reliability of learning algorithms. Trajectory segmentation algorithms can be sensitive to noise, spurious motions, and temporal variation. We present a new unsupervised segmentation algorithm, transition state clustering (TSC), which leverages repeated demonstrations of a task by clustering segment endpoints across demonstrations. TSC complements any motion-based segmentation a

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Freundlich, Charles, Yan Zhang, Alex Zihao Zhu, Philippos Mordohai, and Michael M. Zavlanos. "Controlling a robotic stereo camera under image quantization noise." International Journal of Robotics Research 36, no. 12 (2017): 1268–85. http://dx.doi.org/10.1177/0278364917735163.

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In this paper, we address the problem of controlling a mobile stereo camera under image quantization noise. Assuming that a pair of images of a set of targets is available, the camera moves through a sequence of Next-Best-Views (NBVs), i.e. a sequence of views that minimizes the trace of the targets’ cumulative state covariance, constructed using a realistic model of the stereo rig that captures image quantization noise and a Kalman Filter (KF) that fuses the observation history with new information. The proposed algorithm decomposes control into two stages: first the NBV is computed in the ca

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Choudhary, Siddharth, Luca Carlone, Carlos Nieto, John Rogers, Henrik I. Christensen, and Frank Dellaert. "Distributed mapping with privacy and communication constraints: Lightweight algorithms and object-based models." International Journal of Robotics Research 36, no. 12 (2017): 1286–311. http://dx.doi.org/10.1177/0278364917732640.

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We consider the following problem: a team of robots is deployed in an unknown environment and it has to collaboratively build a map of the area without a reliable infrastructure for communication. The backbone for modern mapping techniques is pose graph optimization, which estimates the trajectory of the robots, from which the map can be easily built. The first contribution of this paper is a set of distributed algorithms for pose graph optimization: rather than sending all sensor data to a remote sensor fusion server, the robots exchange very partial and noisy information to reach an agreemen

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SHAHEEN, KAMEL M., and SOMESHWAR C. GUPTA. "PERFORMANCE RELIABILITY OF DS-CDMA MOBILE COMMUNICATION SYSTEM." International Journal of Reliability, Quality and Safety Engineering 03, no. 04 (1996): 305–24. http://dx.doi.org/10.1142/s021853939600020x.

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Applications of DS-CDMA in mobile communication systems, in forward link and reverse link, imply certain precautions against near–far effect (NFE), multi-access (co-channel) interference (MAI/CCI), and multipath fading. In this paper, two multi-user detection schemes are proposed to enhance the reliability of DS-CDMA system against NFE and MAI for both reverse link and forward link applications. The first scheme, reverse link multistage CCI cancellation (RLCCI) scheme, is derived for a single path channel model and is based on minimization of estimation error between the received signal and it

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Kalaimani, G., K. Manojkumar, and Sathish S. Kumar. "Median Filtering for Removal of Maximum Impulse Noise from Images with a Decision Based Model." Journal of Computational and Theoretical Nanoscience 16, no. 2 (2019): 562–67. http://dx.doi.org/10.1166/jctn.2019.7769.

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Filtering the unwanted parameters will guarantee the quality of images for further operations. Sensors and other devices used to capture the images may be subjected to situations where it might not function as programmed. The medium in which the images are transformed may also face the same difficulties. In such cases, salt and pepper noise should be removed before the images are taken into considerations. Otherwise, processes like edge detection, image segmentation and object recognition will be facing hurdles and may not reveal the desired output. This proposal intends to solve such an issue

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Signoretti, Gabriel, Marianne Silva, Pedro Andrade, Ivanovitch Silva, Emiliano Sisinni, and Paolo Ferrari. "An Evolving TinyML Compression Algorithm for IoT Environments Based on Data Eccentricity." Sensors 21, no. 12 (2021): 4153. http://dx.doi.org/10.3390/s21124153.

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Currently, the applications of the Internet of Things (IoT) generate a large amount of sensor data at a very high pace, making it a challenge to collect and store the data. This scenario brings about the need for effective data compression algorithms to make the data manageable among tiny and battery-powered devices and, more importantly, shareable across the network. Additionally, considering that, very often, wireless communications (e.g., low-power wide-area networks) are adopted to connect field devices, user payload compression can also provide benefits derived from better spectrum usage,

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35

Onwude, Daniel I., Guangnan Chen, Nnanna Eke-emezie, Abraham Kabutey, Alfadhl Yahya Khaled, and Barbara Sturm. "Recent Advances in Reducing Food Losses in the Supply Chain of Fresh Agricultural Produce." Processes 8, no. 11 (2020): 1431. http://dx.doi.org/10.3390/pr8111431.

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Fruits and vegetables are highly nutritious agricultural produce with tremendous human health benefits. They are also highly perishable and as such are easily susceptible to spoilage, leading to a reduction in quality attributes and induced food loss. Cold chain technologies have over the years been employed to reduce the quality loss of fruits and vegetables from farm to fork. However, a high amount of losses (≈50%) still occur during the packaging, pre-cooling, transportation, and storage of these fresh agricultural produce. This study highlights the current state-of-the-art of various advan

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Shahriari, Sayyed Ali Akbar. "Modelling and dynamic state estimation of a doubly fed induction generator wind turbine." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, no. 6 (2020): 1393–409. http://dx.doi.org/10.1108/compel-07-2019-0277.

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Purpose This paper aims to propose an 18th-order nonlinear model for doubly fed induction generator (DFIG) wind turbines. Based on the proposed model, which is more complete than the models previously developed, an extended Kalman filter (EKF) is used to estimate the DFIG state variables. Design/methodology/approach State estimation is a popular approach in power system control and monitoring because of minimizing measurement noise level and obtaining non-measured state variables. To estimate all state variables of DFIG wind turbine, it is necessary to develop a model that considers all state

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Pupyshev, A. A. "Spectral interferences and their correction in atomic emission spectral analysis." Industrial laboratory. Diagnostics of materials 85, no. 1II) (2019): 15–32. http://dx.doi.org/10.26896/1028-6861-2019-85-1-ii-15-32.

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The main sources of spectral interferences in atomic emission spectral analysis (AESA) are considered, including both wide-range (bremsstrahlung and recombination continuum, radiation of hot condensed particles and electrode ends, scattered light in the spectrometer, overlapping of the analytical line by the wings of the neighbor strong spectral lines of interfering elements, imposition of the components of molecular bands with the very close lines) and narrow-band (partial or complete overlapping of the analytical line with atomic or ionic lines of the sample elements, electrodes and discharg

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Mendoza, Juan Pablo, Reid Simmons, and Manuela Veloso. "Detection and correction of subtle context-dependent robot model inaccuracies using parametric regions." International Journal of Robotics Research 38, no. 8 (2019): 887–909. http://dx.doi.org/10.1177/0278364919845047.

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Autonomous robots frequently rely on models of their sensing and actions for intelligent decision making. Unfortunately, in complex environments, robots are bound to encounter situations in which their models do not accurately represent the world. Furthermore, these context-dependent model inaccuracies may be subtle, such that multiple observations may be necessary to distinguish them from noise. This paper formalizes the problem of detection and correction of such subtle contextual model inaccuracies in autonomous robots, and presents an algorithm to address this problem. The solution relies

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Alhashimi, Anas, Martin Magnusson, Steffi Knorn, and Damiano Varagnolo. "Calibrating Range Measurements of Lidars Using Fixed Landmarks in Unknown Positions." Sensors 21, no. 1 (2020): 155. http://dx.doi.org/10.3390/s21010155.

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We consider the problem of calibrating range measurements of a Light Detection and Ranging (lidar) sensor that is dealing with the sensor nonlinearity and heteroskedastic, range-dependent, measurement error. We solved the calibration problem without using additional hardware, but rather exploiting assumptions on the environment surrounding the sensor during the calibration procedure. More specifically we consider the assumption of calibrating the sensor by placing it in an environment so that its measurements lie in a 2D plane that is parallel to the ground. Then, its measurements come from fi

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Eichardt, Roland, Daniel Strohmeier, Alexander Hunold, et al. "Sensitivity studies and optimization of arrangements of optically pumped magnetometers in simulated magnetoencephalography." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 3 (2019): 953–64. http://dx.doi.org/10.1108/compel-09-2018-0372.

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Purpose The purpose of this paper is to present a simulation study using a model of a new optically pumped magnetometer sensor for application in the field of magnetoencephalography. The effects of sensor distance and orientation on the measurement information and the sensitivity to neuronal sources are investigated. Further, this paper uses a combinatorial optimization approach for sensor placement to measure spontaneous activity in the region of the occipital cortex. Design/methodology/approach This paper studies the effects of sensor distance and orientation on sensitivity to cortical sourc

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Didkovskyi, Vitalii, Vitaly Zaets, and Svetlana Kotenko. "Revealing the effect of rounded noise protection screens with finite sound insulation on an acoustic field around linear sound sources." Eastern-European Journal of Enterprise Technologies 1, no. 5 (109) (2021): 16–22. http://dx.doi.org/10.15587/1729-4061.2021.224327.

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This paper reports studying the reduction of traffic noise by rounded noise protection screens with finite sound insulation, that is, those that can pass sound. Almost all models of acoustic screens, which are examined by analytical methods, are either direct or such that disregard the passage of sound through the screen, that is, it is assumed that the screen sound insulation is non-finite. This approach made it possible to solve the problem for a simplified model analytically but made it impossible to analyze the required sound insulation of noise protection screens. In the current paper, th

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Prochniewicz, Dominik, Kinga Wezka, and Joanna Kozuchowska. "Empirical Stochastic Model of Multi-GNSS Measurements." Sensors 21, no. 13 (2021): 4566. http://dx.doi.org/10.3390/s21134566.

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The stochastic model, together with the functional model, form the mathematical model of observation that enables the estimation of the unknown parameters. In Global Navigation Satellite Systems (GNSS), the stochastic model is an especially important element as it affects not only the accuracy of the positioning model solution, but also the reliability of the carrier-phase ambiguity resolution (AR). In this paper, we study in detail the stochastic modeling problem for Multi-GNSS positioning models, for which the standard approach used so far was to adopt stochastic parameters from the Global P

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Gillespie, Daniel T. "A mathematical comparison of simple models of Johnson noise and shot noise." Journal of Physics: Condensed Matter 12, no. 18 (2000): 4195–205. http://dx.doi.org/10.1088/0953-8984/12/18/305.

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Moghekar, Rajeshwar, and Sachin Ahuja. "Deep Learning Model for Face Recognition in Unconstrained Environment." Journal of Computational and Theoretical Nanoscience 16, no. 10 (2019): 4309–12. http://dx.doi.org/10.1166/jctn.2019.8518.

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Face recognition from videos is challenging problem as the face image captured has variations in terms of pose, Occlusion, blur and resolution. It has many applications including security monitoring and authentication. A subset of Indian Movies Face database (IMFDB) which has collection of face images retrieved from movie/video of actors which vary in terms of blur, pose, noise and illumination is used in our work. Our work focuses on the use of pre-trained deep learning models and applies transfer learning to the features extracted from the CNN layers. Later we compare it Fine tuned model. Th

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Bálint, Bálint L. "Embracing Noise and Error." Hungarian Studies Yearbook 1, no. 1 (2019): 134–46. http://dx.doi.org/10.2478/hsy-2019-0010.

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Abstract In his article “Embracing Noise and Error”, Bálint L. Bálint argues that human society is going through a profound change as mathematical models are used to predict human behavior both on a personal level and on the level of the entire society. An inherent component of mathematical models is the concept of error or noise, which describes the level of unpredictability of a system by the specific mathematical model. The author reveals the educational origin of the abstract world that can be described by pure mathematics and can be considered an ideal world without errors. While the huma

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Beigman Klebanov, Beata, and Eyal Beigman. "From Annotator Agreement to Noise Models." Computational Linguistics 35, no. 4 (2009): 495–503. http://dx.doi.org/10.1162/coli.2009.35.4.35402.

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This article discusses the transition from annotated data to a gold standard, that is, a subset that is sufficiently noise-free with high confidence. Unless appropriately reinterpreted, agreement coefficients do not indicate the quality of the data set as a benchmarking resource: High overall agreement is neither sufficient nor necessary to distill some amount of highly reliable data from the annotated material. A mathematical framework is developed that allows estimation of the noise level of the agreed subset of annotated data, which helps promote cautious benchmarking.

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Liu, Xinhua, Yao Zou, Hailan Kuang, and Xiaolin Ma. "Face Image Age Estimation Based on Data Augmentation and Lightweight Convolutional Neural Network." Symmetry 12, no. 1 (2020): 146. http://dx.doi.org/10.3390/sym12010146.

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Face images contain many important biological characteristics. The research directions of face images mainly include face age estimation, gender judgment, and facial expression recognition. Taking face age estimation as an example, the estimation of face age images through algorithms can be widely used in the fields of biometrics, intelligent monitoring, human-computer interaction, and personalized services. With the rapid development of computer technology, the processing speed of electronic devices has greatly increased, and the storage capacity has been greatly increased, allowing deep lear

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Elmehdi, Hussein. "Assessing traffic noise in teh City of Sharjah using prediction models." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 2 (2021): 4520–25. http://dx.doi.org/10.3397/in-2021-2725.

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Noise originated from traffic on inner-city roads has been recognized as a major issue that has negative effects that go beyond annoyance and adverse health effects on people living near such roads. In this paper, we report the results of employing mathematical models for assessing traffic noise levels near roads in the City of Sharjah, UAE. Our field measurements indicated high noise levels near inter-city roads including roads in residential areas. To further investigate this, measured noise levels arising from principle traffic noise parameters were re-examined using published mathematical

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Andronov, I. L. "Multiple Time Scales in Cataclysmic Variables: Observations Vs. Mathematical Models." Highlights of Astronomy 11, no. 1 (1998): 375. http://dx.doi.org/10.1017/s1539299600021250.

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Theoretical models and observational evidence for various processes in magnetic cataclysmic variables are briefly reviewed. Among them: modulation of the accretion rate by the magnetic field of the white dwarf; excitation of the orientation change of the magnetic axis of the white dwarf with respect to the secondary; structure of the accretion column and its instability; mass and angular momentum transfer; magnetic activity of the secondary; high/low luminosity state transitions; QPO’s, ”shot noise” and ”red noise” in polars, intermediate polars and nova-like objects.

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Shin, K. "Analysis of Friction Induced Disc Brake Noise Using Simple Mathematical Models." Noise & Vibration Worldwide 35, no. 2 (2004): 22–27. http://dx.doi.org/10.1260/0957456041217306.

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