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  1. 3481

    Effect of spectral cross-correlation on multiaxial fatigue damage: simulations using the critical plane approach by Andrea Carpinteri, Andrea Spagnoli, Sabrina Vantadori

    Published 2017-06-01
    “…Such a frequency-domain criterion has recently been validated by using experimental data available in the literature, related to combined proportional and non-proportional bending and torsion random loading. The comparison with such experimental data has been quite satisfactory. …”
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  2. 3482

    Comparison of MIMO based on high capacity LPWAN technology TurMass<sup>TM</sup> and LoRa by Hao JIANG, Hongming CHEN, Yilong CAO, Haoyang CUI

    Published 2021-12-01
    “…With the rapid development of low power wide area network (LPWAN) technologies, more and more IoT terminals need to access the network.In order to deal with the challenge of massive random access, grant-free random access with massive MIMO (MGFRA) was proposed for LPWAN scenarios.The MGFRA was introduced and the performance of MGFRA to validate its performance advantage of greatly improving the channel access capacity with extreme low signaling overhead was theoretically analyzed.Further, TurMass<sup>TM</sup>was introduced, which is a high-capacity LPWAN technology based on MGFRA.To demonstrate the advantages of TurMass<sup>TM</sup>in practical applications, TurMass<sup>TM</sup>and LoRa in signal coverage, communication rate, network capacity, low power consumption and low cost in typical LPWAN communication scenarios were compared.The comparison results show that TurMass<sup>TM</sup>has outstanding advantages in signal coverage, communication rate, network capacity, low power consumption and low cost compared with LoRa.…”
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  3. 3483

    Electrical transport of SiNWs array after covalent attachment of new organic functionalities by Marianna Ambrico, Paolo Francesco Ambrico, Rosa di Mundo

    Published 2012-05-01
    “…Modification of the electrical transport of a random network of silicon nanowires assembled on n‐ silicon support, after silicon nanowires functionalization by chlorination/alkylation procedure , is here described and discussed. …”
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  4. 3484

    Comparison of Machine Learning Algorithms for the Prediction of Mechanical Stress in Three-Phase Power Transformer Winding Conductors by Fausto Valencia, Hugo Arcos, Franklin Quilumba

    Published 2021-01-01
    “…This research compares four machine learning techniques: linear regression, support vector regression, random forests, and artificial neural networks, with regard to the determination of mechanical stress in power transformer winding conductors due to three-phase electrical faults. …”
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  5. 3485

    A Hybrid Approach to Protect Palmprint Templates by Hailun Liu, Dongmei Sun, Ke Xiong, Zhengding Qiu

    Published 2014-01-01
    “…Heterogeneous space is designed for combining random projection and fuzzy vault properly in the hybrid scheme. …”
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  6. 3486

    Analysis of the Time Series Generated by a New High-Dimensional Discrete Chaotic System by Chuanfu Wang, Chunlei Fan, Kai Feng, Xin Huang, Qun Ding

    Published 2018-01-01
    “…The proposed generator has low resource consumption, and the digital pseudo-random output sequence has a large period. To avoid the nonchaotic state, the multistability in the high-dimensional discrete chaotic system is analyzed. …”
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  7. 3487

    Dissipative Filter Design for Nonlinear Time-Varying-Delay Singular Systems against Deception Attacks by Guobao Liu, Shibin Shen, Xianglei Jia

    Published 2021-01-01
    “…The measurement output is assumed to encounter random deception attacks during signal transmission, and a Bernoulli distribution is used to describe this random phenomena. …”
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  8. 3488

    Operational Risk Aggregation Based on Business Line Dependence: A Mutual Information Approach by Wenzhou Wang, Limeng Shi, Xiaoqian Zhu

    Published 2016-01-01
    “…While Pearson correlation coefficient is constructed based on the hypothesis of a linear association, the mutual information that measures all the information of a random variable contained in another random variable is a powerful alternative. …”
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  9. 3489

    Research on House Price Prediction based on Machine Learning by Yang Xiangjun

    Published 2025-01-01
    “…For the house price prediction task, Random Forests generally perform better than Linear Regression and Single Decision Tree because they can better capture complex patterns in the data and reduce the risk of overfitting. …”
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  10. 3490

    2D Sin-Cos-Henon Map for Color Image Encryption with High Security by Zhiqiang Cheng, Wencheng Wang, Yuezhang Dai, Lun Li

    Published 2022-01-01
    “…The use of the 2D-SCH, a color image encryption algorithm based on random scrambling and localization diffusion, is proposed. …”
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  11. 3491

    RESEARCH ON MULTIPLE FAILURE MODES FOR RELIABILITY CALCULATION IN CRACK GROWTH LIFE BY SQP METHOD by SUN YuanTao, ZHANG ZengZeng, ZHANG Qing, QIN XianRong

    Published 2019-01-01
    “…Influenced by varied kinds of random factors, the safety evaluation of structure in FCG is under great uncertainty. …”
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  12. 3492

    RESEARCH ON COMPRESSION AND RECONSTRUCTION OF TUBE FOULING ULTRASONIC TESTING SIGNAL BASED ON IMPROVED COSAMP by WANG TongTong, SUN LingFang

    Published 2020-01-01
    “…In ultrasonic tests,the redundant signal and random noise are easily to be generated when the sensor collects data.Compressing and reconstructing the signal or noise always get the researchers’ attention.Based on the theory of compressive sensing and ultrasonic testing method,an improved CoSaMP for tube fouling ultrasonic testing compression and reconstruction was proposed:The K-SVD algorithm was used to sparsely represent the ultrasonic testing signal.The relationship between the peak signal to noise ratio and the number of iterations was derived to determine the sparse degree adaptively.Finally,the sparsity differences of the echo signal and random noise in the transform domain was used to pick up effective information.The results showed that the improved CoSaMP algorithm can accurately locate signal sparsity.The reconstructed signal reflects that the characteristics of the original signal and the operation time are shorter.That proves the feasibility of the improved CoSaMP algorithm.…”
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  13. 3493

    Assessment of the Probability of Occurrence of Normal Cracks in a Reinforced Concrete Beam with Probabilistic Parameters Lying on a Stochastic Half-Plane by Pavel D. Deminov

    Published 2023-07-01
    “…The beam base is considered as statistically inhomogeneous elastic half-plane with the soil elasticity modulus taken as a quasi-stationary random function of depth. The load on the beam, its geometric parameters and the modulus of elasticity of the foundation soil are taken as deterministic values. …”
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  14. 3494

    Insight into PMD Regimes: An Analysis on Buried Optical Fibres by Winston T. Ireeta, Vitalis Musara, Lorinda Wu, Andrew W. R. Leitch

    Published 2013-01-01
    “…The PMD variation over the 98-hour period for each wavelength was directional and limited; they are due to the presence of random mode coupling along the fibre length and limited influence from extrinsic perturbations over time, respectively. …”
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  15. 3495

    Influence of External Factors on Airborne Missile’s Horizontal Backward Launching by Xiao Pan, Yi Jiang, Dong Hu, Huihui Guan

    Published 2021-01-01
    “…Finally, the influences of ejection force, random vibration, and missile loading position on the ejection process are analyzed. …”
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  16. 3496

    The Structure of Bit-String Similarity Networks by David M. Schneider, Damián H. Zanette

    Published 2025-01-01
    “…We study the structural properties of networks formed by random sets of bit strings—namely the ordered arrays of binary variables representing, for instance, genetic information or cultural profiles. …”
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  17. 3497

    Optimal Wavelet Estimation of Density Derivatives for Size-Biased Data by Jinru Wang, Zijuan Geng, Fengfeng Jin

    Published 2014-01-01
    “…But in many practical applications, the random samples always have noises, and estimation of the density derivatives is very important for detecting possible bumps in the associated density. …”
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  18. 3498

    Langmuir Adsorption on Fractal Surfaces by Volodymyr V. Kutarov, L. Zub Yu, Erich Robens, Shanath Amarasiri A. Jayaweera

    Published 2015-04-01
    “…In the first method, the fractal dimension of the adsorbent is determined based on the Hurst index (H) calculated for the random process of development of the Langmuir isotherm. …”
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  19. 3499

    Power spectral analysis of voltage-gated channels in neurons by Christophe Magnani, Lee E. Moore

    Published 2025-01-01
    “…It further delves into the random theory of internal noise of biological neurons and the use of stochastic Markov models to investigate these fluctuations. …”
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  20. 3500

    The Discrete-Time Bulk-Service Geo/Geo/1 Queue with Multiple Working Vacations by Jiang Cheng, Yinghui Tang, Miaomiao Yu

    Published 2013-01-01
    “…By using embedded Markov chain approach and difference operator method, queue length of the whole system at random slots and the waiting time for an arriving customer are obtained. …”
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