Certificateless public key cryptography based provable data possession scheme in edge environment by Ziyuan WANG, Ruizhong DU

“…In the edge environment, data transmission to the cloud needs to pass through a new entity, the edge node, which makes the data security problem more complicated, the confidentiality and integrity of data are difficult to be guaranteed, and the traditional provable data possession scheme is not suitable for the edge environment with a large number of devices.Based on this, a certificateless public key cryptography based provable data possession scheme was proposed for the edge environment, combining the online/offline signature idea, where the user device only needed to perform light computation when uploading data in the case of semi-trusted edge nodes, leaving the rest of the computation to be performed in the offline phase.The scheme used edge nodes for auditing work while supporting auditing in different storage states, as well as privacy protection and other features.The security analysis shows that the proposed scheme is proven to be secure by being able to effectively combat three types of adversary attacks under a stochastic prediction model.Experimental comparisons with other schemes show that the proposed scheme has lowest time overhead.…”
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Research on Application of Microbial Exploration Technology Based on Abnormal Index System by Zhihua Yuan, Yuqing Zhang

“…MPOG (microbial prospecting of oil and gas) technology has its unique advantages, and the microbial anomaly index system lays the basis for comprehensive evaluation of MPOG data and prospect prediction of target areas. In view of the problem that the current exploration technology is limited in the areas where seismic exploration is difficult to reach or difficult to implement, this article uses modern biotechnology to discuss the technical mechanism of microbial exploration technology and the indicators of abnormal technology system in detail, on the basis of known oil and gas properties of completed wells. …”
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RIGID-FLEXIBLE COUPLING DYNAMICS OF COAL WINNING MACHINE CUTTING PART DRIVE SYSTEM SIMULATION by MAO Jun, LIU XiaoNing, CHEN HongYun, SONG QiuShuang, YUAN Zhi

“…Results provide a basis for optimum design of the transmission system and prediction of fatigue life.…”
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Evaluation of Dielectric Reliability in Oil-Insulated Transformers Using Scilab: Impact of Temperature and Electric Field Frequency by Maykop Pérez Martínez, Josnier Ramos Guardarrama

“…The study uses Scilab simulation to model and evaluate transformer insulation systems under different conditions, allowing for prediction of performance under different electrical stresses. …”
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Named entity recognition based on span and category enhancement for Chinese news by QI Ruiyan, LI Longjie, XU Shicheng, MA Ligong, MA Zhixin

“…In the field of news, the identification of named entities is complicated by complex syntactic structures and long entity names, which pose challenges for determining entity boundaries and lead to interruptions in predicting long entities using sequence labeling methods. …”
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Stability Evaluation of Volcanic Slope Subjected to Rainfall and Freeze-Thaw Action Based on Field Monitoring by Shima Kawamura, Seiichi Miura

“…Based on this data, a prediction method for failures is discussed in detail.…”
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NOESIS: A Framework for Complex Network Data Analysis by Víctor Martínez, Fernando Berzal, Juan-Carlos Cubero

“…NOESIS features a large number of techniques and methods for the analysis of structural network properties, network visualization, community detection, link scoring, and link prediction. The proposed framework has been designed following solid design principles and exploits parallel computing using structured parallel programming. …”
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Dynamic Multiobjective Optimization with Multiple Response Strategies Based on Linear Environment Detection by Qiyuan Yu, Shen Zhong, Zun Liu, Qiuzhen Lin, Peizhi Huang

“…DMOEA-LEM not only detects whether the environmental changes but also estimates the types of linear changes so that different prediction models can be selected to initialize the population when the environmental changes. …”
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Forecasting tourist in-flow in South East Asia: A case of Singapore by Manoj Kumar, Seema Sharma

“…Dickey Fuller, KPSS, HEGY, Ljung-Box, Box-Pierce etc.) were applied on the time series for adequacy of best model to fit, residual autocorrelation analysis and for the accuracy of the prediction.…”
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Role of Imaging in the Diagnosis and Management of Complete Androgen Insensitivity Syndrome in Adults by Marco Nezzo, Pieter De Visschere, Guy T'Sjoen, Steven Weyers, Geert Villeirs

“…Complete androgen insensitivity syndrome can be diagnosed as a result of mismatch between the prenatal sex prediction and the phenotype at birth, can be detected by chance, or remain undetected until investigations for primary amenorrhea. …”
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Complex Network in Solar Features by Somayeh Taran

“…A review of the complex structure of the solar proton flux and active regions also showed that in these networks, the average clustering coefficient and Page-rank parameters are suitable criteria to use in event prediction methods. The complex network of sunspots has also shown that sunspots and sunspot groups are formed through complex nonlinear dynamics.…”
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High-cycle notch sensitivity of alloy steel ASTM A743 CA6NM used in hydrogenator turbine components by B. Lobato da Silva, J. L. de Almeida Ferreira, José Alexander Araújo

“…According to results obtained it was possible to conclude that the tested material is less sensitive to notches than the prediction of the Peterson and Neuber’s empirical models.…”
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An Event Causality Identification Framework Using Ensemble Learning by Xiaoyang Wang, Wenjie Luo, Xiudan Yang

“…The latest models introduce external knowledge and then use deep learning for causality prediction. However, event causality recognition still faces problems such as data imbalance and insufficient event content richness. …”
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3D Finite Element Modeling and Modal Analysis of Planetary Gear System with Herringbone Gears by Lulu Qian, Peng Lou, Jin Feng, Jian Luo, Zhongtao Huang

“…This finite element model provides a valuable reference method for resonance prediction and resonance cause analysis of herringbone gear transmission system with star gear train.…”
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Nove lincidence matrix differential power analysis for resisting ghost peak by Zijing JIANG, Qun DING

“…At present, differential power analysis (DPA) is one of the most important threats to the security of block ciphers in chips.When the collected power trace is insufficient, DPA is vulnerable to ghost peak caused by the difference mean value generated by the wrong key.Based on DPA, a incidence matrix differential power analysis (IMDPA) was proposed which could effectively resist ghost peak.The prediction difference mean matrix was constructed to avoid the influence of the non leaking interval on the key guessing of the leaking interval by using the weak correlation of the guessing key in the non leaking interval.The proposed IMDPA was tested in different leak intervals of AES-128 algorithm.The results show that compared with traditional DPA, IMDPA requires less (up to 85%) power trace to guess the correct key.At the same time, the key guessing efficiency of AES-128 under the implementation of protective measures by IMDPA still has obvious advantages.In order to further verify the universality of IMDPA in block ciphers, experimental verification is conducted on SM4 algorithm.Compared with traditional DPA, IMDPA requires less (up to 87.5%) power traces to guess the correct key.…”
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A Method of Reducing Motor Vibration: Natural Frequency, Damping Ratio, and Vibration Analysis of CFRP Motor Frame by Jinguang Zhang, Hairu Yang, Xiong Li, Wei Ye

“…The damp ratio of the CFRP motor frame is calculated by the damp prediction model based on strain energy, which is verified by the combination of the finite element method and experiment. …”
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FAULT DIAGNOSIS NEW METHOD OF ROLLING BEARING BASED ON ADAPTIVE REDUNDANT LIFTING SCHEME PACKET by XIAO ShunGen, SONG MengMeng, LAI LianFeng

“…Aiming at feature identification of weak signal for rolling bearing fault,an adaptive redundant lifting scheme packet（ ARLSP） diagnostic method of undecimated operation was proposed to solve the faults distortion that caused by traditional wavelet packet or lifting wavelet transform using sample operation.ARLSP was based on the principle of lifting scheme.Initial undecimated prediction and update operator were calculated by Lagrange interpolating subdivision,and then constructed an ARLSP decomposition and reconstruction algorithm.Simulation signals were tried out by denoising and anti frequency aliasing,results show that ARLSP method was superior to the traditional wavelet packet in denoising capabilities,and there are no frequency aliasing.Moreover,taking an experiment on an asynchronous motor,the vibration signals of the rolling bearings 6205 under conditions of no fault,the inner ring fault,outer ring fault and rolling fault were measured.ARLSP method has been successfully used to extract characteristic frequency and frequency multiplication for various faults,and has got a higher diagnostic accuracy than traditional wavelet packet.…”
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A Comparative Analysis of Data-Driven Empirical and Artificial Intelligence Models for Estimating Infiltration Rates by Mohammad Zakwan, Majid Niazkar

“…It was observed that the application of the hybrid MGGP-GRG model and MGGP improved the estimates of infiltration rates as compared to conventional infiltration model, while ANN provided the best prediction of infiltration rates. To be more specific, the application of ANN and the hybrid MGGP-GRG reduced the sum of square of errors by 97.86% and 81.53%, respectively. …”
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Influence of additional static stresses on biaxial low-cycle fatigue of 2024 aluminum alloy by Andrey Yankin, Anastasia Lykova, Artur Mugatarov, Valeriy Wildemann, Artem Ilinykh

“…The results of cyclic durability prediction by the modified model provide good convergence. …”
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Influence of additional static stresses on biaxial low-cycle fatigue of 2024 aluminum alloy by Andrey Yankin, Anastasia Lykova, Artur Mugatarov, Valeriy Wildemann, Artem Ilinykh

“…The results of cyclic durability prediction by the modified model provide good convergence. …”
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