Non-specific TVLA method based on two-sample KS test by Zhen ZHENG, Yingjian YAN, Juesong CAI, Yanjiang LIU

“…Test vector leakage assessment (TVLA) is prone to “false negative” when the power consumption sample size is small.To address this issue, it was found that for non-specific TVLA, when the power consumption sample size changes, the test statistic t-values obtained at the leakage sampling points in the power trace vary accordingly, while the t-values at the non-leakage sampling points do not significantly vary.Therefore, when there is leakage, the distributions of the t-values obtained under different sample sizes will be different.Based on this, it was proposed to implement non-specific TVLA under different sample sizes and perform two-sample KS test on the obtained t-value sequences to evaluate whether there was leakage.Verifications were carried out based on unprotected-aligned simulation power consumption, protected-aligned power consumption dataset DPA Contest v4_2 and protected-non-aligned self-collected power consumption respectively.The results showed that the sample size required by the proposed method on the aligned simulation power consumption and DPA Contest v4_2 was reduced by at most 46.1% and 39.0% respectively.And after the alignment, the required sample size of the proposed method on the self-collected power consumption is also smaller than that of other schemes, with a maximum reduction of 29.4%.Therefore, the proposed method can effectively reduce the probability of “false negative” when the power consumption sample size is small.…”
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Research on pedestrian trajectory prediction method based on social attention mechanism by Linhui LI, Bin ZHOU, Jing LIAN, Yafu ZHOU

“…In order to improve the speed,accuracy and model interpretability of trajectory prediction in pedestrian interaction,a GAN model based on social attention mechanism was proposed.Firstly,a new type of social relationship on pedestrians was defined to model social relationships and a network model based on the attention mechanism was designed to improve the speed and interpretability of network prediction.Secondly,the influence of different pooling mechanisms on the prediction results was explored to determine the pooling model with excellent performance.Finally,a trajectory prediction network was built on this basis and trained on the UCY and ETH data sets.The experimental results show that the model not only has better prediction accuracy than the existing methods,but also improves the real-time performance by 18.3% compared with the existing methods.…”
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Response to Comment on A Method for Continuous Surgeon Improvement in Rectal Cancer by Davide Ferrari, MD, Tommaso Violante, MD, Amit Merchea, MD, Eric Dozois, MD, Robert A. Vierkant, MS, David W. Larson, MD, MBA

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Research on OTN Service Delay Estimation Method based on Machine Learning by YANG Ganggang, SHAO Zhugui, JIANG Xianrong

“…【Conclusion】The OTN service delay estimation method based on machine learning and the characteristic of OTN transmission in this paper has high accuracy and wide application scenarios.…”
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Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network by Yingxue Li, Jing Lei, Shiyuan Zhong, Chunming Huang, Chao Huang

“…As the blind detection algorithm has the shortcoming that they need information about the channel and more than two cognitive users to detect the primary user,a new blind detection algorithm based on eigenvector using the difference of correlation between the primary user signal and noise signal covariance matrix was presented,and a closed expression was derived for the probability of false alarm and threshold.The proposed method overcomes the noise uncertainty problem only with two cognitive relays and performs well without information about the channel,primary user and noise.Numerical simulations show that the new detector performs better than other detectors.…”
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Music Signal Recognition Based on the Mathematical and Physical Equation Inversion Method by Wei Jiang, Dong Sun

“…The paper studies the music signal feature recognition technology based on the mathematical equation inversion method, which is aimed at designing a method that can help music learners in music learning and music composition. …”
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A Flexible Polynomial Expansion Method for Response Analysis with Random Parameters by Rugao Gao, Keping Zhou, Yun Lin

“…The generalized Polynomial Chaos Expansion Method (gPCEM), which is a random uncertainty analysis method by employing the orthogonal polynomial bases from the Askey scheme to represent the random space, has been widely used in engineering applications due to its good performance in both computational efficiency and accuracy. …”
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A METHOD FOR QUANTITATIVE DESCRIPTION OF BIOMEDICAL IMAGES BASED ON SUPERPIXEL DICTIONARIES by V. A. Liauchuk, V. A. Kovalev

“…The results of the experiments performed suggest that the method proposed may provide recognition performance comparable or better than when using conventional methods of texture description.…”
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Pore-Scale Simulation of Water Flooding Using Volume of Fluid Method by Chuanqing Huang, Jiaosheng Zhang, Xuejiao Lu, Li Jihong, Yingsong Huang, Lijie Liu, Yajie Su, Jianguang Bai

“…Water flooding is a commonly used method in oilfield development, and the water flooding process is essentially the process of oil-water movement in porous media. …”
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The Hamiltonian System Method for the Stress Analysis in Axisymmetric Problems of Viscoelastic Solids by W. X. Zhang, Y. Bai, F. Yuan

“…Simply by applying the adjoint relationships of the symplectic orthogonality, the eigensolution expansion method for boundary condition problems is given. In the numerical examples, stress distributions of a circular cylinder under the end and lateral boundary conditions are obtained. …”
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Patients’ Experiences of Living with Atrial Fibrillation: A Mixed Methods Study by Marie Stridsman, Anna Strömberg, Jeroen Hendriks, Ulla Walfridsson

“…We aimed to describe patients’ experiences of living with AF. Methods. The study design used a parallel convergent mixed methods approach. …”
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Research of the Virtual Test Method for Dynamic Load Simulation of Automatic Transmission by Zou Xihong, Gou Xun, Zheng Xiaomei, Zhao Jun

“…In order to achieve EM-CVT dynamic load simulation,the dynamic load simulation method is researched by using MATLAB/Simulink to establish the mathematical model of automatic transmission dynamic load simulation system and combining with the speed tracking control algorithm.The virtual test is carried out,which refers to a section of the NEDC city cycle,the EPA performance index is introduced to evaluate the system performance. …”
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Aminopropyl-Functionalized Silica CO2 Adsorbents via Sonochemical Methods by Gregory P. Knowles, Alan L. Chaffee

“…Aminopropyl-functionalized hexagonal mesoporous silica (HMS) products, as are of interest for CO2 capture applications, were separately prepared by mixing aminopropyltrimethoxysilane (APTS) and HMS in toluene via a conventional stirred reactor and via sonication assisted methods, to investigate the potential of sonication to facilitate the preparation of products with higher tether loadings and correspondingly higher CO2 sorption capacities. …”
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Study on Applicable Range of Determination Methods of Stable Hydraulic Geometry of Channel by YAN Zhifang, HAN Yize

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Evaluating a double integral using Euler's method and Richardson extrapolation by Justin Steven Calder Prentice

“…We also provide a generalization of the method to the case of nonlinear limits in the outer integral. …”
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Comparative Research of the Results of Functional Regionalization Methods – By the Network of Commuting in Hungary by János Pénzes, Gábor Pálóczi

“…The method of local labour systems (LLS), the method of labour market areas (LMA) – called as EURO method – and the CURDS measure are introduced, applied and compared. …”
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Patrol image analysis framework and deep learning method for power grid by Yuanning LI, Baifeng NING, Zhaojie DONG

“…With the development of intelligent manufacturing and IoT,UAV has been widely utilized by power grid enterprise in patrolling transmission lines.At the same time,massive patrol image data need to be analyzed urgently.A U2U image analysis framework was designed from user data collection,automatic annotation and to user feedback.Two deep learning methods,which were faster R-CNN and SSD,were explored and applied in U2U to detect five types of power components,including insulators,dampers,grading rings and shielding rings.A refining method based on K-means++ was proposed for the parameters of anchor box.Experimental results demonstrate that the proposed methods can effectively improve the adaptability and detection accuracy of deep learning method for multiple-scale power components and provide a useful reference for subsequent defect detection and deep application of UAV patrolling.…”
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Application of Natural Transform Method to Fractional Pantograph Delay Differential Equations by M. Valizadeh, Y. Mahmoudi, F. Dastmalchi Saei

“…In this paper, a new method based on combination of the natural transform method (NTM), Adomian decomposition method (ADM), and coefficient perturbation method (CPM) which is called “perturbed decomposition natural transform method” (PDNTM) is implemented for solving fractional pantograph delay differential equations with nonconstant coefficients. …”
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A Pilot Study on Dietary Approaches in Multiethnicity: Two Methods Compared by Romina Valentini, Maria Grazia Dalfrà, Michela Masin, Antonella Barison, Marcon Marialisa, Eva Pegoraro, Annunziata Lapolla

“…Medical nutritional therapy is the most important method for normalizing glucose levels in pregnancy. …”
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New design method of space-frequency coding and fast detection algorithm by WANG Xin, WEI Ji-bo, LI Ying

“…To analyze the performance of space-frequency codes,the Chernoff bound was used in the existing literatures,but it was too loose to conclude the diversity order and coding gain simultaneously.Therefore,a new view of the transmission of space-frequency codes was addressed,which transformed the transmission in frequency selective channels into flat fading channels.Based on this transformation,the performance analysis of space-time coding in flat fading channels was used to present an asymptotic analysis for the performance of space-frequency coding.Then,the design criterion of the full diver-sity-achieving space-frequency code was concluded and the coding gain was also optimized.The analysis was more univer-sal and owned an intelligible comprehension.It integrated the existing analysis of the space-frequency codes.A fast detection algorithm for the code was also proposed.It exploited the trellis decoding method and had a reduced complexity compared with the ML detection.The simulation results confirm the validity of the design criterion.…”
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