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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Deepfake Dilemmas: Imagine Tomorrow’s Surveillance Society through Three Scenarios by Fatma Doğan Akkaya

“…Moving beyond technical considerations, the research employs social prediction methods to explore three potential future scenarios involving deepfake avatars: seamless integration that facilitates self-expression but complicates digital identity control; pervasive algorithmic surveillance that exacerbates social control and privacy issues; and the concept of ghost avatars, that is, digital representations that function as commodities or tools of resistance. …”
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Speculation resource provisioning in high-performance computing by Leena Sri, Balaji Narayanan

“…As an attempt to quantify resource allocation we use two level adaptive prediction mechanism to check the computational patterns of past resource allocation to the future requirement. …”
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THE PROBATION OFFICER AS AN AUTHORITY OF CRIMINAL ENFORCEMENT LAW. DEVELOPMENT PROSPECTS IN THE LIGHT OF MODERN TECHNOLOGIES by Tomasz Kalisz

“…Among the advantages are cost efficiency, increased work effectiveness, better prediction of recidivism risk, optimized resource use, individualized approach, and easier communication and collaboration. …”
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Load Reconstruction Technique Using D-Optimal Design and Markov Parameters by Deepak K. Gupta, Anoop K. Dhingra

“…Inverse Markov parameters are computed from the forward Markov parameters using a linear prediction algorithm and have the roles of input and output reversed. …”
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Motion Object Detection Model for Electronic Referee Scoring in Table Tennis Events. by Xiaoke Li, Lili Guo

“…In the simulation test, the model achieved the best trajectory prediction accuracy in both complete video images and partially missing information video images. …”
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Integration Research of Pantograph-Catenary Detection System for Intelligent Operation and Maintenance of Heavy-haul Locomotive by Jiejun LYU, Hongjun HE, Congjian JIANG

“…The test showed that the systems can realize on-line detection, fault diagnosis, intelligent prediction,emergency treatment and pantograph health management of pantograph-catenary system, improve the online detection and evaluation effect of pantograph-catenary system, and ensure the safety and reliability of line traction power supply.…”
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Design and Application of Digital Twin-Based Brain Control System by Yinan Wang, Hongyang Jin, Zongwei Yao, Zhiyong Chang, Deping Wang

“…Digital twin (DT) technology, with its ultra-high-fidelity simulation and prediction capabilities, virtual–real interaction mapping, and autonomous feedback regulation, offers a novel approach to addressing these issues. …”
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Research on multi-objective control of PPCI diesel engine combustion process based on data driven modelling by Ziqiang Chen, Peng Ju, Zhe Wang, Du Huang, Lei Shi, Kangyao Deng

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Data-Driven Robust Optimization for Solving the Heterogeneous Vehicle Routing Problem with Customer Demand Uncertainty by Jingling Zhang, Mengfan Yu, Qinbing Feng, Longlong Leng, Yanwei Zhao

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Distribution of age at natural menopause, age at menarche, menstrual cycle length, height and BMI in BRCA1 and BRCA2 pathogenic variant carriers and non-carriers: results from EMBR... by Nasim Mavaddat, Debra Frost, Emily Zhao, Daniel R. Barnes, Munaza Ahmed, Julian Barwell, Angela F. Brady, Paul Brennan, Hector Conti, Jackie Cook, Harriet Copeland, Rosemarie Davidson, Alan Donaldson, Emma Douglas, David Gallagher, Rachel Hart, Louise Izatt, Zoe Kemp, Fiona Lalloo, Zosia Miedzybrodzka, Patrick J. Morrison, Jennie E. Murray, Alex Murray, Hannah Musgrave, Claire Searle, Lucy Side, Katie Snape, Vishakha Tripathi, Lisa Walker, Stephanie Archer, D. Gareth Evans, Marc Tischkowitz, Antonis C. Antoniou, Douglas F. Easton

“…Conclusion Information on the distribution of cancer risk factors in PV carriers is needed for incorporating these factors into multifactorial cancer risk prediction algorithms. Contrary to previous reports, we found no evidence that BRCA1 or BRCA2 PV are associated with hormonal or anthropometric factors, except for a weak association with height. …”
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Active Disturbance Rejection Attitude Control for Hypersonic Vehicle Based on Intelligent Stochastic Robust Optimization Method by Bo Wang, Wei Liu, Zhongtao Cheng, Lei Liu, Yongji Wang

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Ginkgetin Alleviates Inflammation and Senescence by Targeting STING by Yadan Liu, Jialin Ye, Zisheng Fan, Xiaolong Wu, Yinghui Zhang, Ruirui Yang, Bing Jiang, Yajie Wang, Min Wu, Jingyi Zhou, Jingyi Meng, Zhiming Ge, Guizhen Zhou, Yuan Zhu, Yichuan Xiao, Mingyue Zheng, Sulin Zhang

“…To reveal the molecular mechanism of Ginkgetin's anti‐aging effect, a graph convolutional network‐based drug “on‐target” pathway prediction algorithm for prediction is employed. The results indicate that the cGAS‐STING pathway may be a potential target for Ginkgetin. …”
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Short time solar power forecasting using P-ELM approach by Shuqi Shi, Boyang Liu, Long Ren, Yu Liu

“…The results indicate that the P-ELM algorithm achieves higher accuracy in short-term prediction, demonstrating its suitability for ensuring accuracy and reliability in real-time solar power forecasting.…”
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Metabolic network segmentation: A probabilistic graphical modeling approach to identify the sites and sequential order of metabolic regulation from non-targeted metabolomics data. by Andreas Kuehne, Urs Mayr, Daniel C Sévin, Manfred Claassen, Nicola Zamboni

“…We present the metabolic network segmentation (MNS) algorithm, a probabilistic graphical modeling approach that enables genome-scale, automated prediction of regulated metabolic reactions from differential or serial metabolomics data. …”
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Deep Reinforcement Learning Method for Wireless Video Transmission Based on Large Deviations by Yongxiao Xie, Shian Song

“…To further optimize resources in wireless energy transmission and tackle the challenge of balancing exploration and exploitation in the DRL algorithm, this paper develops an adaptive DRL algorithm that extends classical DRL frameworks by integrating dropout techniques during both the training and prediction processes. …”
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Hybrid Reactive Power Compensator with Adaptation of the Operation of the Control System to the Parameters of the Mains Voltage by Goolak S., Tkachenko V., Kyrychenko M., Kozlov S.

“…The most important result is the development of a block diagram of the control system for the active part of the reactive power compensator based on the implementation of the Levinson-Durbin linear prediction algorithm. The significance of the results obtained lies in the possibility of the proposed control scheme for the active part of the compensator to adapt the operation of the compensator to the voltage parameters of the catenary, that is, to the actual operating conditions of the electric locomotive.…”
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Мethodology for calculation of phase behavior of a natural hydrocarbon system with account of formation water mineralization by L. T. Abdrazakova, A. Gilmanov, A. P. Shevelev

“…The development of gas condensate fields requires the prediction of phase behavior. The existing models do not consider the presence of several roots of material balance equation and water mineralization. …”
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Mutual-Energy Inner Product Optimization Method for Constructing Feature Coordinates and Image Classification in Machine Learning by Yuanxiu Wang

“…Finally, the mutual-energy inner product optimization method is used to construct feature coordinates, and multi-class Gaussian classifiers are trained on the MINST training set. Good prediction results of the Gaussian classifiers are achieved on the MINST test set.…”
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Authorship identification methods in student plagiarism detection by A. I. Paramonov, I. A. Trukhanovich

“…In the modern educational context the problem of plagiarism is urgent and requires the development of effective methods of detection and prevention of this phenomenon. …”
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