A Compact Multi-Identity Fully Homomorphic Encryption Scheme Without Fresh Ciphertexts by Ziwei Wang, Ruwei Huang, Xiyi Wei

“…First, we construct a compact identity-based encryption scheme by combining the YJW23 trapdoor and ABB10 under the standard model, proving its IND-sID-CPA security. The scheme is then adapted to ensure correctness and security when integrated with the decomposition method for ciphertext expansion. …”
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Lessons Learned from the CYK Algorithm for Parsing-based Verification of Hierarchical Plans by Simona Ondrčková, Roman Barták, Pascal Bercher, Gregor Behnke

“…More specifically, we study the effect of modifying the domain model by limiting the number of sub-tasks in decomposition methods to two and the effect of changing the parsing strategy.…”
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A Comparative Analysis of the Fractional-Order Coupled Korteweg–De Vries Equations with the Mittag–Leffler Law by Noufe H. Aljahdaly, Ali Akgül, Rasool Shah, Ibrahim Mahariq, Jeevan Kafle

“…This article applies efficient methods, namely, modified decomposition method and new iterative transformation method, to analyze a nonlinear system of Korteweg–de Vries equations with the Atangana–Baleanu fractional derivative. …”
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基于SVM与GA参数优化的齿轮箱断齿故障诊断方法研究 by 张星辉, 康建设, 曹端超, 孙磊, 滕红智

“…A new method of gearbox fault diagnosis based on SVM（Support vector machine） and GA（Genetic algorithm）which is used to optimize parameters is presented.Firstly,the raw vibration signal is preprocessed by Time Synchronous Average algorithm.Then,the signal wavelet packet decomposition is carried out,standard deviation of wavelet packet coefficients of the signals is considered as the fault feature vector,and the normalization process of the fault feature vector is carried out.In the end,the fault feature vector is used as the input of SVM.In this process,the Daubechies order,wavelet packet decomposition level,c and g of SVM are optimized by GA.After that,the optimized parameter is used in training model which will be used for fault diagnosis.The experimental result shows that SVM and GA can be used to effectively diagnose faults of gearbox.…”
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Robust Optimal Configuration Planning of Integrated Energy System for Return on Investment by Tao LIANG, Xiaodong YIN, Yaxiang LIU

“…Aiming at the uncertainty influences of wind and photovoltaic power output and energy-using load on both cost and revenue, a robust optimal configuration method for return on investment is presented. Firstly, an IES optimal configuration model is built to maximize the internal rate of return, with consideration of the constraints of investment capacity, equipment operation, energy balance and internal and external network interaction. …”
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Simulation and Analysis of Vector Control for Five-phase Permanent Magnet Synchronous Motor by YUAN Dengke, HU Zongjie, WANG Kun

“…Based on the generalized Park transformation of five-phase permanent magnet synchronous motor (FP-PMSM), a mathematical model was established by the method of vector space decomposition. …”
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Combining DBN and FCM for Fault Diagnosis of Roller Element Bearings without Using Data Labels by Fan Xu, Yan jun Fang, Dong Wang, Jia qi Liang, Kwok Leung Tsui

“…Finally, the experimental results show that the fault diagnosis of the method presented is better than that of other combination models, such as variation mode decomposition- (VMD-) singular value decomposition- (SVD-) FCM, and ensemble empirical mode decomposition- (EEMD-) fuzzy entropy- (FE-) PCA-FCM.…”
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Driving Factors and Peak Forecasting of Carbon Emissions from Public Buildings Based on LMDI-SD by Yongkun Wang, Yang Liang, Liangshan Shao

“…In order to reduce carbon emissions of public buildings, realize the targets of energy conservation and emission reduction, the LMDI method is used to construct China’s public building macrocarbon factor decomposition model, identify the main driving factors affecting the change of carbon emissions from public buildings, and build a system dynamics model based on the decomposition results to predict China’s public building carbon emissions peak. …”
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Train Wheelset Bearing Multifault Impulsive Component Separation Using Hierarchical Shift-Invariant Dictionary Learning by Zhao-heng Zhang, Jian-ming Ding, Jian-hui Lin

“…Compared with ensemble empirical model decomposition (EEMD), the proposed method exhibits better performance in separating the multifault impulsive components and detecting the faults of a wheelset bearing.…”
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Nonlinear fractional arctic systems by Sunday Eze

“… In this contribution, nonlinear fractional arctic sea-ice model is given and the solution of the model was obtained using a new proposed modified Adomian decomposition method. …”
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ONBOARD FUEL PUMP FAULT DIAGNOSIS BASED ON IMPROVED SUPPORT VECTOR MACHINE AND EXPERIMENTAL RESEARCH by LIANG Wei, JING Bo, JIAO XiaoXuan, QIANG XiaoQing, LIU XiaoDong

“…Meanwhile,the fault feature vectors are used to train and validate this classification model. The experimental results show that this method not only can improve the classification accuracy on fault diagnosis,but also can optimize the use of sensors by using only one vibration sensor and one pressure sensor to recognize the fault signals.…”
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RUL Prediction for Lithium Battery Systems in Fuel Cell Ships Based on Adaptive Modal Enhancement Networks by Yifan Liu, Huabiao Jin, Xiangguo Yang, Telu Tang, Jiaxin Luo, Lei Han, Junting Lang, Weixin Zhao

“…The Squeeze-and-Excitation Networks (SEAttention) module is employed to enhance the accuracy of feature extraction, and the sparse attention mechanism of Informer is utilized to efficiently model long-term dependencies in time series. This results in a comprehensive prediction framework that spans signal decomposition, feature enhancement, and time-series modeling. …”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia by Badr T. Alsulami, Afaq Khattak

“…This research introduces an innovative prediction framework that combines signal decomposition with advanced deep learning methods to estimate CA trends. …”
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Numerical Analysis of Concrete Gravity Dam Seepage Characteristics Evolution considering the Calcium Leaching Effect by Kailai Zhang, Liqun Xu, Liting Qiu, Jiacheng Tan, Chao Yang, Kai Zhang

“…The 3D finite element model of this dam is analyzed using COMSOL Multiphysics software that is based on the finite element method. …”
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Time-Frequency Analysis and Application of a Vibration Signal of Tunnel Excavation Blasting Based on CEEMD-MPE-HT by Chen-yang Ma, Li Wu, Miao Sun, Qing Yuan

“…The traditional empirical mode decomposition method cannot accurately extract the time-frequency characteristic parameters contained in the noisy seismic monitoring signals. …”
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Study on Wellbore Temperature and Pressure Distribution in Process of Gas Hydrate Mined by Polymer Additive CO2 Jet by Minghui Wei, Chenghuai Wu, Yanxi Zhou

“…The wellbore temperature and pressure changes during this process are analyzed, and the wellbore temperature and pressure model are established and solved by the state space method. …”
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Wavelet Transform-Based 3D Landscape Design and Optimization for Digital Cities by Yang Chen, Xiaolin Wang, Chang Zhang

“…Finally, the simulation experimental results show that the proposed denoising method in this article can better retain the texture details in the images and the denoised images have better visual effects; the proposed information fusion model has higher accuracy compared with the traditional methods. …”
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Centralized and Decentralized Signal Control with Short-Term Origin-Destination Demand for Network Traffic by Can Zhang, Tony Z. Qiu, Amy Kim

“…Then, the optimal control is formulated using a G/G/n/FIFO open queueing network model (QNM). We also solve the issue of optimal control using a three-step naïve method for the centralized system with the new inputs. …”
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基于QPSO-SVM的轴承故障诊断方法 by 杨光春, 蹇清平

“…Due to the importance of rolling bearing as one of the most widely used in rotating machines,bearing failures have adverse effects on the safe operation of the equipment,in order to diagnosing the fault of rolling bearing effectively,a fault diagnosis model of support vector machine（SVM）optimized by quantum particle swarm optimization（QPSO）algorithm is proposed.First,fault vibration signals are decomposed into several intrinsic mode functions（IMFs）using empirical mode decomposition（EMD）method,then the instantaneous amplitudes of the IMFs that have the fault characteristics are extracted and regarded as the features vector,finally the SVM model optimized by QPSO is used for the failure mode identification.The experimental results indicate that the proposed bearing fault diagnosis method has good capability for adaptive features extraction as well as high fault diagnostic accuracy.…”
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OPTIMIZATION OF AGGREGATION AND SEQUENTIAL-PARALLEL EXECUTION MODES OF INTERSECTING OPERATION SETS by G. М. Levin, B. М. Rozin, A. B. Dolgui

“…A mathematical model and a method for the problem of optimization of aggregation and of sequential- parallel execution modes of intersecting operation sets are proposed. …”
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