Statistical modeling based fast rate distortion estimation algorithm for HEVC by Xiang MENG, Haibing YIN, Xiaofeng HUANG

“…To reduce the coding computational complexity of the rate and distortion calculations in HEVC, a fast TU level rate model with higher accuracy was proposed.The contribution percentages of different syntax elements in entropy coding were evaluated, and syntax element-wise accurate rate models were individually developed to construct the whole TU level model.In addition, coefficient levels were weighted adaptively to distinguish the nonuniform contributions of different coefficients in terms of rate profiling.Moreover, position-wise parameter was defined to depict the distribution patterns for possible non-zero coefficients within one block.The final linear rate model was developed by fine-tuning the model parameters from great amounts of samples in a statistical way.Finally, the transform domain distortion model was also established to bypass unnecessary reconstruction process.Experimental results show that the proposed algorithm can achieve 49.76% complexity reduction with 1.74% BD-BR increase for RA configuration.…”
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Probabilistic Double Hierarchy Linguistic TOPSIS Method for MAGDM and Its Application to Teaching Quality Evaluation of College English by Fengling Wang

“…On the one hand, we bring information entropy into the determination of target weight. The PDHL-TOPSIS technique is constructed and utilized for teaching level evaluation. …”
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Trust evaluation algorithm of IoT edge server based on cooperation reputation and device feedback by Lin ZHANG, Xinyan WEI, Xiping LIU, Haiping HUANG, Ruchuan WANG

“…Aiming at the security problem of edge server, a trust evaluation algorithm was proposed, which integrated server cooperation reputation and device user feedback to improve the security of edge computing context.In the process of interaction, a fusion algorithm based on objective information entropy theory was used to aggregate the cooperation reputation between servers, and a partial homomorphic encryption algorithm was used to prevent the leakage of user data in the process of interaction.After the interaction, the highly trusted device node was selected to calculate the feedback trust, which overcame the malicious feedback of the traditional mechanism.When calculating the global trust, the expected score of the server and the adaptive weight calculation method were considered, which overcame the limitations of the traditional trust scheme.The experimental results show that the proposed trust calculation scheme has low time complexity and spatial complexity, and can effectively resist the attack of malicious nodes.…”
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A vestige of FZZ duality in higher dimensions by Chethan Krishnan, Sarthak Talukdar

“…At this critical point, the cigar has a puncture at the Euclidean horizon and the higher dimensional black hole entropy is correctly reproduced by the winding condensate.…”
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An Intelligent Gray Prediction Model Based on Fuzzy Theory by Weili Wu

“…Moreover, this paper uses the entropy weight method to obtain the objective weight to correct the subjective weight, which makes the weight calculation more reasonable. …”
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EW-CACTUs-MAML: A Robust Metalearning System for Rapid Classification on a Large Number of Tasks by Wen-Feng Wang, Jingjing Zhang, Peng An

“…The model-agnostic metalearning (MAML) with the CACTUs method (clustering to automatically construct tasks for unsupervised metalearning) is improved as EW-CACTUs-MAML after integrated with the entropy weight (EW) method. Few-shot mechanisms are introduced in the deep network for efficient learning of a large number of tasks. …”
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Simulating quantum circuits using the multi-scale entanglement renormalization ansatz by A. V. Berezutskii, I. A. Luchnikov, A. K. Fedorov

“…The MERA is a tensor network, whose geometry together with orthogonality constraints imposed on its tensors allow approximating many-body quantum states lying beyond the area-law scaling of the entanglement entropy. We benchmark the proposed technique for brick-wall quantum circuits of up to 243 qubits with various depths up to 20 layers. …”
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Thermodynamical Restrictions and Wave Propagation for a Class of Fractional Order Viscoelastic Rods by Teodor M. Atanacković, Sanja Konjik, Ljubica Oparnica, Dušan Zorica

“…The restrictions on coefficients are derived by using entropy inequality for isothermal processes. In addition, we study waves in a rod of finite length modelled by a linear fractional constitutive equation. …”
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Transformasi Lontar Babad Lombok Menuju Digitalisasi Berbasis Natural Gradient Flexible (NGF) by Muhammad Tajuddin Anwar, Syahroni Hidayat, Ahmat Adil

“…Kualitas citra yang telah ditingkatkan diukur menggunakan metode MSE dan PSNR untuk tingkat kemiripannya, dan metode Entropi dan SSIM untuk informasi dan perspektif visual. …”
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Corticomuscular Coupling Alterations During Elbow Isometric Contraction Correlated With Clinical Scores: An fNIRS-sEMG Study in Stroke Survivors by Xiaohan Wang, Weidong Li, Rong Song, Di Ao, Huijing Hu, Le Li

“…At matched force levels, the fuzzy approximate entropy values of both agonist and antagonistic muscles were notably lower in the affected group compared to the healthy group (P < 0.05). …”
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Method based on contrastive learning for fine-grained unknown malicious traffic classification by Yifeng WANG, Yuanbo GUO, Qingli CHEN, Chen FANG, Renhao LIN

“…In order to protect against unknown threats and evasion attacks, a new method based on contrastive learning for fine-grained unknown malicious traffic classification was proposed.Specifically, based on variational auto-encoder (CVAE), it included two classification stages, and cross entropy and reconstruction errors were used for known and unknown traffic classification respectively.Different form other methods, contrastive learning was adopted in different classification stages, which significantly improved the classification performance of the few-shot and unknown (zero-shot) classes.Moreover, some techniques (e.g., re-training and re-sample) combined with contrastive learning further improved the classification performance of the few-shot classes and the generalization ability of model.Experimental results indicate that the proposed method has increased the macro recall of few-shot classes by 20.3% and the recall of unknown attacks by 9.1% respectively, and it also has protected against evasion attacks on partial classes to some extent.…”
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Multiscale regional calibration network for crowd counting by Jiamao Yu, Hexuan Hu

“…Additionally, we improve the loss function by combining L2 loss and binary cross-entropy loss to help MRCNet achieve excellent results. …”
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Equilibrium and Kinetic Studies of the Adsorption of Zn(II) Ions onto Natural and Activated Kaolinites by Ali Riza Kul, Necla Caliskan

“…Thermodynamic parameters such as the enthalpy (ΔH 0 ), Gibbs' free energy (ΔG 0 ) and entropy (ΔS 0 ) were calculated for natural, thermally-activated and acid-activated kaolinite. …”
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APPLICATION OF IMPROVED EXPERIENCE WAVELET TRANSFORM IN FAULT DIAGNOSIS OF WIND TURBINE GEARBOX by HU Xuan, LI Chun, YE KeHua

“…Aiming at the problems that the minor fault features of wind turbine gearbox bearings are easily submerged and difficult to extract under the background of strong noise, a continuous average spectral negative entropy（CASN） is proposed to improve the empirical wavelet transform（EWT）. …”
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Black string solutions in Lifshitz spacetime by L. A. Lessa, J. E. G. Silva, J. Furtado

“…The stability of these new solutions is investigated through the thermodynamic analysis of the charged black string. The temperature, entropy, and heat capacity indicate that these modified black strings are thermodynamically stable.…”
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A Computable Measure of Algorithmic Probability by Finite Approximations with an Application to Integer Sequences by Fernando Soler-Toscano, Hector Zenil

“…Given the widespread use of lossless compression algorithms to approximate algorithmic (Kolmogorov-Chaitin) complexity and that, usually, generic lossless compression algorithms fall short at characterizing features other than statistical ones not different from entropy evaluations, here we explore an alternative and complementary approach. …”
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Monocular Vision SLAM for Indoor Aerial Vehicles by Koray Çelik, Arun K. Somani

“…Experimental results show that the system is only limited by the capabilities of the camera and environmental entropy.…”
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Packet Reordering Metrics to Enable Performance Comparison in IP-Networks by Pedro Rodrigues Torres-Jr, Eduardo Parente Ribeiro

“…We highlight good results with the Entropy reorder metric.…”
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Enhanced Ehlers transformation and the Majumdar-Papapetrou-NUT spacetime by Marco Astorino

“…From the near-horizon analysis, its microscopic entropy, according to the Kerr/CFT correspondence, is found and the second law of black hole thermodynamics is discussed.…”
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On Productions of Net-Baryons in Central Au-Au Collisions at RHIC Energies by Ya-Hui Chen, Guo-Xing Zhang, Fu-Hu Liu

“…Each source in the model is described by the Tsallis statistics to extract the effective temperature and entropy index from the transverse momentum distribution. …”
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