Research on UAV Jamming Signal Generation Based on Intelligent Jamming by Haonan Xue, Zhihai Zhuo, Weihao Yan, Yuexia Zhang

“…This paper introduces an enhanced jamming signal generation algorithm built on the traditional convolutional autoencoder. …”
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Multi-Kinects fusion for full-body tracking in virtual reality-aided assembly simulation by Yu Wang, Fuxiang Chang, Yuanjie Wu, Ziran Hu, Lihui Li, Pengyu Li, Pu Lang, Shouwen Yao

“…Experiment results showed that the proposed algorithm has superior fusion performance compared to the peer works.…”
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Mathematical Modeling of Tuberculosis Transmission Dynamics With Reinfection and Optimal Control by Francis Oketch Ochieng

“…The model was fitted to historical TB incidence data for Kenya from 2000 to 2022 using lsqcurvefit algorithm in MATLAB software. The fitting algorithm yielded a mean absolute error (MAE) of 0.0069, demonstrating a close alignment between simulated and observed data. …”
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DISTANCE ESTIMATION TO THE INTERPHASE-FAULT LOCATION IN THE DISTRIBUTIVE AIR-LINE GRIDS BASED ON ANALYSIS OF THE HARMONIC COMPONENT PARAMETERS OF THE OPERATING EMERGENCY CONDITIONS by E. V. Kalentionok, Ye. O. Yakovchits

“…Besides, it is susceptible to the nonlinearity effect of closed-circuit arc in the fault location which significantly reduces the accuracy of the remote location of the failure.For estimating the distance to the location of interphase failure on the aerial distributive transmission lines the article proposes a new technique employing the harmonic components of the operating emergency parameters. The algorithm of the present method realization includes: taking down oscillograms of the emergency-mode parameter values (e. g. in doublephase failure – the short-circuit current, the linear voltage between the faulty phases) with necessary discretization interval; expansion of the operating emergency parameters in a Fourier series (realized with a quick Fourier expansion algorithm); estimating the distance to the fault location by the analytical expression; performing the statistical analysis of a row of distance values and finding the most probable distance to the fault location.For effectiveness investigation of the proposed method of trapping harmonic components the paper considers a 10 kV distributive electrical grid feeding nine transformer substations. …”
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Design and analysis of intelligent service chain system for network security resource pool by Zenan WANG, Jiahao LI, Chaohong TAN, Dechang PI

“…The traditional network security architecture ensures network security by directing traffic through hardware based network security function devices.Since the architecture consists of fixed hardware devices, it leads to a single form of network security area deployment and poor scalability.Besides, the architecture cannot be flexibly adjusted when facing network security events, making it difficult to meet the security needs of future networks.The intelligent service chain system for network security resource pool was based on software-defined network and network function virtualization technologies, which can effectively solve the above problems.Network security functions of virtual form were added based on network function virtualization technology, combined with the existing hardware network elements to build a network security resource pool.In addition, the switching equipment connected to the network security elements can be flexibly controlled based on software-defined network technology.Then a dynamically adjustable network security service chain was built.Network security events were detected based on security log detection and a expert library consisting of security rules.This enabled dynamic and intelligent regulation of the service chain by means of centralized control in the face of network security events.The deployment process of the service chain was mathematically modeled and a heuristic algorithm was designed to realize the optimal deployment of the service chain.By building a prototype system and conducting experiments, the results show that the designed system can detect security events in seconds and automatically adjust the security service chain in minutes when facing security events, and the designed heuristic algorithm can reduce the occupation of virtual resources by 65%.The proposed system is expected to be applied to the network security area at the exit of the campus and data center network, simplifying the operation and maintenance of this area and improving the deployment flexibility of this area.…”
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Steam Generator Maintenance Robot Design and Obstacle Avoidance Path Planning by Fengwei Yuan, Gengzhen Ren, Qian Deng, Xiangjiang Wang

“…Lastly, path planning was carried out by using the RRT algorithm, with the paths divided into three phases for analysis. …”
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Camera Absolute Pose Estimation Using Hierarchical Attention in Multi-Scene by Xinhua Lu, Jingui Miao, Qingji Xue, Hui Wan, Hao Zhang

“…Compared to the baseline algorithm PoseNet, our algorithm has achieved a 41.1% reduction in translation error and a 61.1% decrease in rotation error, demonstrating superior performance in multi-scene absolute camera pose regression.…”
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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…Based on this，a comprehensive energy system short-term load forecasting model is proposed，which combines complete ensemble empirical mode decomposition with adaptive noise （CEEMDAN），cross optimization algorithm （CSO），long short term memory （LSTM） network，and multi task learning （MTL）. …”
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Antioxidants and Cognitive-Behavioral Therapy in Patients with Functional Dyspepsia by T. V. Sapozhnikova, S. A. Parfenov, T. E. Yesina, K. V. Sapozhnikov, A. N. Smirnov, A. A. Paulov, D. M. Rizakhanov, O. A. Rizakhanova

“…Аim: development of an algorithm for the use of antioxidant cognitive-behavioral therapy in adult patients with functional dyspepsia.Material and methods. …”
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Machine Learning-Based Classification of Turkish Music for Mood-Driven Selection by Nazime Tokgöz, Ali Değirmenci, Ömer Karal

“…However, when the MI algorithm was applied, SVM exhibited the best accuracy at 0.8068. …”
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Adaptive Variational Modal Decomposition–Dual Attention Mechanism Parallel Residual Network: A Tool Lifetime Prediction Method Based on Adaptive Noise Reduction by Jing Kang, Taiyong Wang, Yi Li, Ye Wei, Yaomin Zhang, Ying Tian

“…The method first adapts the parameters of the variational modal noise reduction algorithm using an improved sparrow optimization algorithm, and then reconstructs the original vibration signal with noise reduction. …”
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Feature Extraction of Music Signal Based on Adaptive Wave Equation Inversion by Tianzhuo Gong, Sibing Sun

“…In the test function group and the recorded music signal library, a large number of simulation experiments and comparative analysis of the music signal recognition experiment were performed on the extracted features, which verified the time-frequency analysis performance of the wave equation inversion and the improvement of the decomposition algorithm. The features extracted by the wave equation inversion have a higher recognition rate than the features extracted based on the standard decomposition algorithm, which verifies that the wave equation inversion has a better decomposition ability.…”
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Multiobjective Optimization of Composite Material Seat Plate for Mortar Based on the Hybrid Surrogate Model by Fengfeng Wang, Chundong Xu, Lei Li

“…Then, in order to improve the optimization efficiency and robustness of the algorithm, a multiobjective optimization algorithm based on the Chebyshev combination pattern is used to solve the mixed surrogate model. …”
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On Constructing Strongly Connected Dominating and Absorbing Set in 3-Dimensional Wireless Ad Hoc Networks by Jiarong Liang, Meng Yi, Weiguang Zhang, Yanyan Li, Xinyu Liang, Bin Qin

“…Our simulations show the feasibility of the algorithm proposed in this paper.…”
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Collaborative Optimization of Container Liner Slot Allocation and Empty Container Repositioning Within Port Clusters by Wenmin Wang, Cuijie Diao, Wenqing He, Zhihong Jin, Zaili Yang

“…To solve the model, a new branch-and-bound algorithm based on Lagrangian relaxation and the ascendancy principle (BBLRAP) is developed. …”
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Rag‐bull rider optimisation with deep recurrent neural network for epileptic seizure detection using electroencephalogram by Prabin Jose Johnrose, Sundaram Muniasamy, Jaffino Georgepeter

“…A novel method, namely, a rag‐Rider optimisation algorithm (rag‐ROA) is devised for training a deep recurrent neural network (Deep RNN) to discover epileptic seizures. …”
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Short-Term Optimal Scheduling Method of Cascade Hydropower Stations Based on Segmented Load Construction Strategy by LI Chonghao, LI Shushan, TANG Hongbing, LIU Huan, MA Xiangyu, LIAO Shengli

“…With the rapid development of China's economy,electricity demand has increased.As the largest clean energy in China,hydropower has been put into large-scale and centralized production,and the most complex large-scale hydropower system in the world is formed.However,short-term hydropower optimal scheduling faces the serious challenge of the curse of dimensionality due to massive cascade hydropower stations,numerous hydropower constraints,and time-sensitive scheduling requirements.Therefore,this paper proposes a short-term optimal scheduling method for cascade hydropower stations based on a segmented load construction strategy.First,the selection rules of the hydropower stations to be regulated are formulated from the perspective of the regulation performance,location,and task of the cascade hydropower stations.Then,a method is given to divide the complex original load into two sub-load processes,namely the segmented load process with time reduction scale and the residual load process with frequent fluctuations.Finally,the adjustment method is given,and the particle swarm algorithm is used for traversal and optimization at different stages,so as to find the load division process when the target is optimal.By taking seven cascade hydropower stations in a certain river basin in southwest China as research objects,a mature particle swarm algorithm is used to simulate the typical day during the flood and dry periods.The results show that the segmented load construction strategy proposed in this paper can effectively reduce the solution complexity,and the appropriate number of segments can improve the solution efficiency while ensuring the solution quality.In addition,this method greatly reduces the output fluctuation of auxiliary hydropower stations and helps to reduce the difficulty of scheduling and unit loss.Therefore,the method proposed in this paper can provide a reference for solving the short-term scheduling of large-scale cascade hydropower stations and is of good practical value.…”
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Deployment Optimization of Connected and Automated Vehicle Lanes with the Safety Benefits on Roadway Networks by Zhibo Gao, Zhizhou Wu, Wei Hao, Kejun Long

“…After that, a genetic algorithm was designed to solve the model. Finally, a medium-scaled traffic network was selected to verify the effectiveness of the proposed model and algorithm. …”
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The influence of pedagogical reflection on design educational and professional plans of future teachers. by M. A. Golovchin

“…The  algorithm  was  tested  on  data  from  a  questionnaire  survey  conducted  in  2023  by  the Voluntary Research Center of the Russian Academy of Sciences (RAS) among graduates studying to become teachers in the Vologda region. …”
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Comparative (Computational) Analysis of the DNA Methylation Status of Trinucleotide Repeat Expansion Diseases by Mohammadmersad Ghorbani, Simon J. E. Taylor, Mark A. Pook, Annette Payne

“…We have combined this data and used a pattern searching algorithm to identify motifs in the DNA surrounding aberrantly methylated CpGs found in the DNA of patients with one of the three trinucleotide repeat (TNR) expansion diseases: fragile X syndrome (FRAXA), myotonic dystrophy type I (DM1), or Friedreich’s ataxia (FRDA). …”
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