Layer-2 transferable belief model: Manage uncertainty on random permutation sets by Qian-Li Zhou, Yong Deng

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Using random subcarrier weighting for multi-carrier systems physical layer security by Zhou ZHONG, Liang JIN, Kai-zhi HUANG

“…An OFDM security model and a physical layer security transmission scheme were proposed for multi-carrier systems to achieve low probability of interception.In contrast to the resource allocation algorithm which would be disabled at the low SNR,this method designed the subcarrier transmission weighting vectors to randomize the eavesdropper’s signals but not the authorized receiver’s signals.The channel state information was the only character to distinguish authorized receivers and eavesdroppers,which was conducted to guide the weighting vectors design.Simulation results show that the proposed method guarantees that authorized receiver performs transmitted reference demodulation successfully,while the eavesdroppers can not detect the transmitted symbols.…”
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Using random subcarrier weighting for multi-carrier systems physical layer security by Zhou ZHONG, Liang JIN, Kai-zhi HUANG

“…An OFDM security model and a physical layer security transmission scheme were proposed for multi-carrier systems to achieve low probability of interception.In contrast to the resource allocation algorithm which would be disabled at the low SNR,this method designed the subcarrier transmission weighting vectors to randomize the eavesdropper’s signals but not the authorized receiver’s signals.The channel state information was the only character to distinguish authorized receivers and eavesdroppers,which was conducted to guide the weighting vectors design.Simulation results show that the proposed method guarantees that authorized receiver performs transmitted reference demodulation successfully,while the eavesdroppers can not detect the transmitted symbols.…”
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Mass closure vs. layer-by-layer closure of transverse laparotomy in children: a randomized trial with ultrasound and elastography outcomes by Mohamed Ali Shehata, Mohammad Gharieb Khirallah, Mazin Kurdi, Shaimaa Abdelmonem Abdelwahab, Radwa Elkhouly, Suzan Ezzat Gado

“…The fascial incision is either closed in one mass or layer-by-layer closure. Both methods nearly have the same outcomes. …”
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Two-layer interrupted versus two-layer continuous sutures for preventing cesarean scar defect: a randomized controlled trial by Shunichiro Tsuji, Daisuke Katsura, Shinsuke Tokoro, Ayako Inatomi, Yuri Nobuta, Yutaka Yoneoka, Tsukuru Amano, Takashi Murakami

“…We recruited pregnant women with ≥ 20 primary or previous cesarean sections. Participants were randomly assigned to either a two-layer interrupted or a two-layer continuous suture group. …”
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Turbo detection-decoding method for bit-interleavered random layered space-time codes by LI Xiao-wei, CHEN Fang-jiong, WEI Gang

“…Based on one kind of layered space-time code which used bit-interleavered and random-layered model,a joint detection-decoding method based on the Turbo principle was proposed.The new method used soft-interference canceller and SISO decoder and improved the exchange of soft information between them.By iterative procession it improved the performance of the whole system.The potential practice capability is proved by simulation results and computational complexity analysis.…”
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Turbo detection-decoding method for bit-interleavered random layered space-time codes by LI Xiao-wei, CHEN Fang-jiong, WEI Gang

“…Based on one kind of layered space-time code which used bit-interleavered and random-layered model,a joint detection-decoding method based on the Turbo principle was proposed.The new method used soft-interference canceller and SISO decoder and improved the exchange of soft information between them.By iterative procession it improved the performance of the whole system.The potential practice capability is proved by simulation results and computational complexity analysis.…”
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Training multi-layer binary neural networks with random local binary error signals by Luca Colombo, Fabrizio Pittorino, Manuel Roveri

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Physical layer security for SWIPT-NOMA system in presence of randomly located eavesdroppers by Yifan DING, Guangqiu LI, Hui LI

“…The combination of non-orthogonal multiple access (NOMA) and simultaneous wireless information and power transfer (SWIPT) technologies can improve spectrum efficiency of wireless system and solve the power supply problem of user nodes.However, when energy-harvesting receivers want to maliciously eavesdrop on confidential information sent by the base station, the information security transmission of SWIPT-NOMA system will be threatened.To enhance its physical layer security (PLS) performance, the PLS model of SWIPT-NOMA system with transmit antenna selection and power split strategies was proposed.When the spatial location randomly distributed energy-harvesting receivers obey the Poisson point process, the approximate expressions for the secrecy outage probability and non-zero secrecy capacity probability of SWIPT-NOMA system were derived by using the spatial Poisson probability generation function.Numerical and simulation results verify the accuracy of the expressions.The above expressions can also be used to study the influence of eavesdropper density, the distance between the base station and the far and near information receivers, the number of transmitting antennas and the power split factor on PLS performance of SWIPT-NOMA system.…”
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Asymptotic Modeling of Coherent Scattering from Random Rough Layers: Application to Road Survey by GPR at Nadir by Nicolas Pinel, Cédric Le Bastard, Christophe Bourlier, Meng Sun

“…This paper studies the coherent scattering from random rough layers made up of two uncorrelated random rough surfaces, by considering 2D problems. …”
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Structural Parameters on the Effective Transport Properties of Carbon Cloth Gas Diffusion Layers: Random Walk Simulations by Qingrong Jia, Hao Wang, Guogang Yang

Subjects: “…carbon cloth gas diffusion layer…”
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COULOMB DRAG RESISTIVITY IN DOUBLE-LAYER GRAPHENE: INHOMOGENEITY EFFECTS by Manh Tien Nguyen, Van Men Nguyen

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Effect of Random Distribution of Initial Imperfection Curvature on The Bearing Capacity of Double -Layer Flat Grids With Different Configurations by Arash Bayat, Hamidreza Ashrafi

“…For each structure, the initial curvature of the members was randomly assigned using a normal distribution, and then a nonlinear incremental load analysis was performed using the OpenSees software. …”
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How Representative Are Uncrewed Aircraft System Measurements of the Convective Boundary Layer? by Brian R. Greene, Leia M. Otterstatter, Scott T. Salesky

Subjects: “…random errors…”
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Target repositioning using multi-layer networks and machine learning: The case of prostate cancer by Milan Picard, Marie-Pier Scott-Boyer, Antoine Bodein, Mickaël Leclercq, Julien Prunier, Olivier Périn, Arnaud Droit

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Bistable Multi‐Layer Triboelectric Nanogenerator for Harvesting Random and Ultra‐Low‐Frequency Vibration Energy with Increased Charge Transfer by Yi Guan, Xin Li, Zehan Wei, Mianxin Xiao, Zhihui Lai, Shuxiang Dong, Daniil Yurchenko, Shitong Fang

“…However, their low charge transfer under weak inputs limits efficiency in harvesting random and ultra‐low‐frequency wave energy. This paper proposes a novel bistable multi‐layer TENG (BM‐TENG) to address this challenge for self‐powered wireless sensing and lighting. …”
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Multi-Bit Resistive Random-Access Memory Based on Two-Dimensional MoO₃ Layers by Kai Liu, Wengui Jiang, Liang Zhou, Yinkang Zhou, Minghui Hu, Yuchen Geng, Yiyuan Zhang, Yi Qiao, Rongming Wang, Yinghui Sun

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A Discrete Interferometric Model for a Layer of a Random Medium: Effects on InSAR Coherence, Power, and Phase by Saban Selim Seker, Fulya Callialp, Roger H. Lang

“…This study presents a discrete interferometric model for a random medium layer, establishing the link between radar interferometry and forest biophysical properties. …”
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Targeted multi-layer analysis of PANoptosis-associated genes in the etiology of chronic kidney disease by Tong Li, Yingyue Zhang, Xingzhi Wang, Qi Liu, Xiaofei Ma, Manshu Sui

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Comparison of classical, xgboost and neural network methods for parameter estimation in epidemic processes on random graphs by Ágnes Backhausz, Edit Bognár, Villő Csiszár, Damján Tárkányi, András Zempléni

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