Financial time series classification method based on low‐frequency approximate representation by Bing Liu, Huanhuan Cheng

“…Secondly, distance matrices were obtained by Euclidean distance (ED) or dynamic time warping (DTW) for low frequency information, and then the nearest neighbor 1‐NN algorithm was used to classify time series.…”
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Analysis of the Modification Sensitivity of Herringbone Gear by Yong Zhao, Yajun Huang, Bin Yan, Yong Guo, Yuanyuan Zhang, Wei Cao

“…Using Romax software， genetic algorithm is used to carry out the optimal modification of tooth profile， drum shape and topology， and the modification deformation momentum is superimposed on the optimal modification. …”
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Establishment of the Virtual Prototyping of Angular Transmission Error of RV Reducer based on Multi-body Dynamics Simulation by Chang Anquan, Zhang Yinghui, He Weidong, Wang Xiaoyu

“…In order to study the influence of modification of cycloid gear and bearing clearance on angular transmission error of RV reducer,based on the multi-body dynamics simulation technology,multi-body contact between gears is established by combining with the most advanced mixed contact checking algorithm rely on relative coordinate contact configuration space method and boundary box method,furthermore the spring force element is used to eliminate the redundant constraints in the dynamic simulation model,at the same time the bearing clearance is introduced,at last the dynamic simulation model of RV reducer containing the cycloid gear modification and bearing clearance is established. …”
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Design and implementation of AI-based all-scenario intelligent base station power-saving system by Wei ZHAO, Bei LI, Ning MENG, Tingwei WANG, Junfan LIN, Le CHEN, Yuhua HU, Hanyuan YANG

“…In the context of intensive network construction, how to realize automatic, intelligent, and experienceguaranteed base station energy consumption management has become a pain point for current operators in operation management.A 3G/4G/5G smart base station power saving solution with full intelligent detection, full-scenario modeling, and full-process self-service was innovatively proposed.The coverage scene was distinguished by a dynamic time warping algorithm, and the SARIMA model was used to predict the time frame to build the model dynamically.Monitoring indicators ensured quality of experience, automatically issue power-saving strategies, and promptly raise SMS alerts.In the case that the user had no perception, the energy consumption of the base station was saved to the greatest extent at the cell granularity level.This method had been implemented on a pilot study in a province.The average annual power saving efficiency of a single station in the pilot area can reach 9.24% per day per station, which can be put in actual production.…”
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Machine Learning of the Reactor Core Loading Pattern Critical Parameters by Krešimir Trontl, Dubravko Pevec, Tomislav Šmuc

“…The usual approach to loading pattern optimization involves high degree of engineering judgment, a set of heuristic rules, an optimization algorithm, and a computer code used for evaluating proposed loading patterns. …”
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An Efficient Numerical Approach for Solving Nonlinear Coupled Hyperbolic Partial Differential Equations with Nonlocal Conditions by A. H. Bhrawy, M. A. Alghamdi, Eman S. Alaidarous

“…Using triangular, soliton, and exponential-triangular solutions as exact solutions, the obtained results show that the proposed numerical algorithm is efficient and very accurate.…”
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Kinematics Analysis of a Planar Symmetric (CRR)₂S-(3R)₂R Parallel Mechanism by Jie Li, Linxian Che, Li Du, Xin Zheng

“…The coordinate transformation method is applied to establish a set of nonlinear equations for the positive solution of the mechanism position，and the differential evolution algorithm is used to find the set of equations. The analytical expressions for the inverse solution of the mechanism are derived，and numerical examples are used to verify the correctness of the forward and inverse solutions of the mechanism. …”
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Research on dynamic cooperative technology of manned and unmanned networked information system by Haijun YE, Guofeng WANG, Zhiyong FENG

“…To meet the needs of information security sharing and systematic dynamic cooperation of manned and unmanned formations and to build a dynamic communication network, firstly, a networked high-precision system time synchronization scheme was designed, using integrated network link management strategy and wireless channel on-demand preference algorithm, and the time synchronization accuracy could be up to 100 nanosecond level.Secondly, a data privacy protection and secure sharing solution for airborne networks was built, implementing communication data security of manned and unmanned formation, and analyzing and discussing the performance and security to prove that the proposed solution has a provable high security strength.Meanwhile, a dynamic cooperation model of manned and unmanned formation was designed to discover, authenticate and revoke each node in real time, perform legitimacy identity verification, optimize allocation scheme for multi-objective information acquisition through multi-machine collaborative construction, differentiated data was used to transmit synchronize data, save network resources, improve data transmission efficiency, and meet the demand of systematic cooperative operations.…”
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Design of fairness-driven RSMA-SDMA precoding by Yanjing SUN, Fengzhi CHENG, Jiasi ZHOU, Song LI

“…In view of the minimum user rate and system fairness when the transmit power was limited, a user access mode selection transmission strategy by joint rate-splitting multiple access (RSMA) and space division multiple access (SDMA) was proposed.The precoding design problem of maximizing system fairness was modeled.In order to solve the discrete non-convex optimization problem formed, it was decomposed into two non-convex sub-problems, such as the user access mode selection and the inner optimal precoding design.For the precoding design, a quadratic transform of multidimensional and complex FP was used to transform the precoding design into double rotation, and the closed-form expression of the optimal solution for the outer user access mode selection was obtained.Convex optimization was used to solve the inner precoding design problem, and successively optimize the user access mode selection.An algorithm based on fractional optimization was proposed for the problem, and the optimal precoding vector was designed using the quadratic transform of multidimensional and complex FP to maximize the minimum user rate under power constraints.The simulation results prove that compared with RSMA, SDMA and other transmission strategies, the fairness-driven RSMA-SDMA precoding design improves the minimum user rate of the system and guarantees the system fairness.…”
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A Trajectory Planning Method for Optimal Energy Consumption of the Hydraulic Excavator by Zhang Yunyue, Sun Zhiyi, Sun Qianlai, Wang Yin, Yang Jiangtao

“…Under the constraint conditions of the joint angle, angular velocity, and angular acceleration, the improved adaptive genetic algorithm is used to optimize the uniform acceleration (deceleration) and constant velocity motion time of each joint, obtain the optimal motion curve of each joint, and realize the optimal energy consumption trajectory planning of the hydraulic excavator. …”
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Multimedia Data Processing Technology and Application Based on Deep Learning by Guo Li, Wei Liu

“…Then, the related network results of deep learning (convolution network structure and countermeasure neural network structure) are put forward, and the image comparison of the activation function and the loss function of deep learning is analyzed, which provides functional algorithm support for the experimental analysis of deep learning in multimedia data processing technology. …”
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Financial Early Warning System Model Combining Hybrid Semantic Hierarchy with Group Method of Data Handling Neural Network for Detection of Banks’ Risks by Guangju Li

“…A semantic hierarchy approach based on converting risk-related values and picking influential variables could be practical in risk detection. Besides, the GMDH algorithm utilizing neural networks based on available data has the capability of predicting possible risks that could occur in the future. …”
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Parametric Nonlinear Model Reduction Using K-Means Clustering for Miscible Flow Simulation by Norapon Sukuntee, Saifon Chaturantabut

“…Next, we perform the K-means clustering algorithm on these parameter vectors to find the centroids. …”
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Combined effects of basalt fiber geometrical characteristics on pavement performance of asphalt mixtures. by Heng Zhou, Mengxin Li, Guyue Jin, Mengyu Guo, Yingjun Jiang

“…Additionally, a random forest algorithm is adopted to perform a weight analysis of fiber characteristics and their correlation with pavement performance.…”
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Motion Deblurring in Image Color Enhancement by WGAN by Jiangfan Feng, Shuang Qi

“…The key idea of this paper is to introduce a novel multitask learning algorithm for image motion deblurring and color enhancement, which enables us to enhance the color effect of an image while eliminating motion blur. …”
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An Energy-Domain IR NUC Method Based on Unsupervised Learning by Ting Li, Xuefeng Lai, Sheng Liao, Yucheng Xia

“…The maximum change in the image corrected using the proposed algorithm was 1.29%.…”
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Electricity meter area identification technology based on channel coding theory by Yinghai XIE, Yu ZHANG

“…Station area identification has always been a problem in the ubiquitous power Internet of things, a new analytical model similar to fading channel was established for the station area identification, and based on the remote on-load voltage regulation function of on-load capacity and voltage regulation distribution transformer, the channel coding theory was applied to solve the problem.In order to identify station area of the smart meters, different special voltage regulation schemes with the properties of repeated coding and block coding were applied synchronously.At the same time, the power consumption information acquisition system was used to collect the voltage of each smart meter in this period.Finally, the recognition of each meter was realized based on the principle of minimum distance of decoding algorithm.The theoretical analysis and test results show that, compared with the traditional technology, the new technology can realize the high accuracy identification of a large number of meters in the on-load capacity and voltage regulation distribution transformer area in the existing power grid system without upgrading, which has high engineering application value.…”
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Detection and Prevention of Selective Forwarding-Based Denial-of-Service Attacks in WSNs by Youngho Cho, Gang Qu

“…Finally, as a complementary defensive method to our detection and avoidance approaches, we introduce a prevention routing algorithm that proactively prevents the attack and provide our preliminary results to evaluate its performance.…”
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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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Quartic Rational Said-Ball-Like Basis with Tension Shape Parameters and Its Application by Yuanpeng Zhu, Xuli Han, Shengjun Liu

“…In order to compute the corresponding patch stably and efficiently, a new de Casteljau-type algorithm is developed. Moreover, the G1 continuous conditions are deduced for the joining of two patches.…”
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