Efficient Computation of Collatz Sequence Stopping Times: A Novel Algorithmic Approach by Eyob Solomon Getachew, Beakal Gizachew Assefa

“…The Collatz conjecture, which posits that any positive integer will eventually reach 1 through a specific iterative process, is a classic unsolved problem in mathematics. …”
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A 3D sensor based deflection correction algorithm for belt layer by Su Ming, Fan Wenqiang, Xiao Dong

“…Finally, through MATLAB simulation, the correction accuracy of the algorithm can reach within 1 mm, which is better than the traditional unilateral correction accuracy and correction stability.…”
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Reverberation multi-source localization algorithm based on compressed sensing with dual microphones by Yi ZHANG, Juan LI, Min ZHANG

“…In traditional multi-source localization field,it is necessary to guarantee that the number of microphone is more than the number of source.To overcome this constraint,a dual-microphone multi-source localization algorithm based on CS was proposed,where the number of sound source localized successfully was more than 3.The multi-source localization was regarded as the block sparse signal reconstruction in this algorithm,and the full room impulse responses normalized were exploited to construct the compressed observation matrix in frequency domain.In reconstructed block sparse signal,the positions of non-zero blocks were corresponded to the positions of sound sources in space.The simulation shows that compared with the SRP-sub algorithm,in reverberation time 0.6s with dual-microphone,the proposed multi-source localization algorithm based on compressed sensing has higher capability which can reach 80% success rate by using 40 frequency points to localize 3 sound sources.…”
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Energy-efficient collaborative transmission algorithm based on potential game theory for beamforming by Jing Zhang, Li Lei, Xin Feng

“…This paper proposes an energy-efficient collaborative transmission algorithm based on potential game theory for beamforming. …”
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Research on geomagnetic indoor high-precision positioning algorithm based on generative model by Shuai MA, Ke PEI, Huayan QI, Hang LI, Wen CAO, Hongmei WANG, Hailiang XIONG, Shiyin LI

“…Aiming at the current bottleneck of constructing a fine geomagnetic fingerprint library that required a lot of labor costs, two generative models called the conditional variational autoencoder and the conditional confrontational generative network were proposed, which could collect a small number of data samples for a given location, and generate pseudo-label fingerprints.At the same time, in order to solve the problem of low positioning accuracy of single-point geomagnetic fingerprints, a geomagnetic sequence positioning algorithm based on attention mechanism of convolutional neural network-gated recurrent unit was designed, which could effectively use the spatial and temporal characteristics of fingerprints to achieve precise positioning.In addition, a real-time, portable mobile terminal data collection and positioning system was also designed and built.The actual test shows that the proposed model can effectively construct the available geomagnetic fingerprint database, and the average error of the proposed algorithm can reach 0.16 m.…”
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Research on International Law Data Integrity Guarantee Based on Antiterrorism Prediction Algorithm by Huang Ru Qing

“…Experimental results show that the frequency range and data sensitivity of international law data can be optimized by using this method, the audit process of data integrity is less time consuming, and the data integrity after processing can reach 0.967.…”
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Research on grid based fire warning algorithm with YOLOv5s for palace buildings by Zhiming Wang, Jiangnan Peng, Xinzhi Liu, Changan Di, Bo Wang

“…With detection experiments on relevant datasets, the results show that its accuracy and mAP both reach 0.99. By utilizing the collaborative effect of inverse proportional gridding algorithm and smoke detection technology, a grid based visualization of smoke warning is achieved.…”
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Tuning of ILADRC for CFB Boiler Combustion System Based on LF-DCSSA Algorithm by Qi Wang, Chi Zhang, Aoqi Xiao, Xinchun Jia, Shikui Chen, Rongsen Fan

“…Aiming at the problem that it is difficult to adjust the parameters of the controller in the circulating fluidized bed (CFB) boiler combustion system due to its multivariable and strong coupling, an improved linear active disturbance rejection controller (ILADRC) parameter tuning strategy based on the Lévy flight double chaotic sparrow search algorithm (LF-DCSSA) is proposed. The LF-DCSSA algorithm is used to tune the parameters of the ILADRC controller in the multivariable coupled combustion control system of the CFB boiler built by Simulink, so that its control effect can reach the best state. …”
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Intelligent guarantee power supply decision method based on reinforcement learning algorithm by Milu Zhou, Huijie Sun, Tian Yang, Tingting Li, Qi Hou

“…At 60 iterations, its loss value reaches the optimal value of 100 and then tends to stabilize. …”
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Low scaling factor Seam Carving tamper detection algorithm with hybrid attention by ZHAO Jie, CHANG Haochan, WU Bin

“…A seam carving tamper detection algorithm integrated with hybrid attention mechanism is proposed. …”
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An Image Encryption Algorithm Based on Hyperchaotic System and Variable-Step Josephus Problem by Xuncai Zhang, Lingfei Wang, Yanfeng Wang, Ying Niu, Yinhua Li

“…In this paper, an image encryption algorithm based on a hyperchaotic system and variable-step Josephus problem is proposed. …”
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Optimization and design of electromechanical control automation based on dual motor control algorithm by Wei Lu

“…Under steady-state sudden load, the research model could reach a stable state within 3 s, with errors within ±5%.ConclusionIn summary, combining the dual motor control algorithm with the electromechanical control automation method can provide a theoretical basis and practical guidance for designing and implementing efficient dual motor electromechanical control systems.…”
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A review: Multi-Objective Algorithm for Community Detection in Complex Social Networks by Mariwan Wahid Ahmed, Kamaran Faraj

“…Recently, research on multi-objective optimization algorithms for community detection in complex networks has grown considerably. …”
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Spectrum sensing algorithm based on stochastic resonance and non-central F-distribution by Yuanmeng FAN, Shunlan LIU

“…To solve the problem that the detection probability of the spectrum sensing algorithm is low and the number of samples required for detection is large at low signal-to-noise ratio (SNR), a spectrum sensing algorithm based on stochastic resonance and non-central F-distribution (SRNF) was proposed.By introducing direct-current stochastic resonance noise, the system model of SRNF was established, and the expression of test statistic, false alarm probability and detection probability, and the expression of decision threshold obeying non-central F-distribution were deduced, and the optimal stochastic resonance noise parameter was solved by numerical method.The simulation results show that the detection performance of the proposed SRNF algorithm is better than that of energy detection (ED) algorithm and blind spectrum sensing based on F-distribution (BSF) algorithm at a low SNR.When the false alarm probability is 5%, the SNR is -12 dB, and the number of samples is 200, the detection probability of the proposed algorithm is 95%, which is 34% and 67% higher than BSF algorithm and ED algorithm, respectively.When the SNR is -12 dB, and the detection probability reaches 95%, the number of samples required by the proposed algorithm is 210, which saves 340 samples compared to the BSF algorithm.Furthermore, the proposed algorithm is less affected by noise uncertainty than ED algorithm.…”
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Research on Dynamic Task Allocation Algorithm to Improve User Participation in the Witkey Mode by Yujie Wan, Minglan Fu, Lvqiang Chen, Debao Chen, Jiekun Li, Wei Zhou, Mengxue Liu

“…Due to Witkey's individual rationality, in order to make the result of task allocation stable, task allocation must reach the Nash equilibrium. However, the Nash equilibrium point does not necessarily have the highest total system revenue. …”
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Research on UAV path planning algorithm based on improved virtual spring method by XIAO Heng, ZHANG Hui, ZHOU Wen, MU Zhenjie

“…The results show that，compared with the traditional virtual spring model and the improved virtual spring model，the proposed UAV path planning algorithm can form a smoother path for UAV path planning in the narrow channel environment，and enable the UAV to reach the target point smoothly when the target is not reachable，which is able to plan UAV paths in a relatively complex environment.…”
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LC oscillator frequency prediction using machine learning linear regression algorithm by Mandar Jatkar, Vasudeva G, Tripti R. Kulkarni, Roopa R. Kulkarni, Aneesh Pandurangi

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A new video image encryption algorithm based on improved composite mapping by Tu Li, Liu Zhen, Wang Yan, Yang Gelan

“…The simulation results show that: the histogram of the encrypted image is uniformly distributed, the encryption algorithm is very sensitive to the initial key, and the initial value sensitivity performance reaches10-13, it takes only 7.9 seconds to encrypt a 328 frame video by using this algorithm, and it takes only 5.4 seconds to decrypt this video. …”
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Community detection algorithm of hybrid node analysis and edge analysis in complex networks by Kun DENG, Qingfeng JIANG, Xingyan LIU

“…The community detection of hybrid node analysis and edge analysis in complex networks (CDHNE), a novel community detection algorithm, was proposed aiming at the problem that both edge community detection and node-based community detection algorithms had corresponding shortcomings in the process of detecting communities, which affected the quality of complex network community detection.The relatively stable characteristics of the edge in the networks were firstly used by the algorithm to construct a more accurate community structure through edge community detection at the early stage of algorithm execution.Then, after the formation of the edge communities, the flexible characteristics of the node were used to accurately detect the boundary of edge communities, so as to more accurately detect the community structure in the complex networks.In the computer-generated network experiments, when the community structure of the network gradually became fuzzy, the number of overlapping nodes and the number of communities to which the overlapping nodes belonged kept increasing.Compared to traditional algorithms, the accuracy of community detection and overlapping nodes detection were improved by an average of 10% and 15%, respectively, by the CDHNE algorithm.In the real network experiments, the tightness of the community structure detected by the CDHNE algorithm was better.Especially when facing large-scale networks with more than 100 000 nodes, the detection task was completed by the CDHNE algorithm with high quality, and the EQ value reached 0.412 1.The experimental results show that the CDHNE algorithm has advantages in operational stability and handling large-scale networks.…”
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Development and in silico validation of the PID-algorithm for the artificial pancreas with intraperitoneal insulin delivery by Vladimir A. Karpelyev, Yury I. Philippov, Artem V. Averin, Maxim D. Boyarsky, Dmitriy A. Gavrilov

“…Results: The proposed controller design has time to reach 83% within the glycaemic range of 70–140 mg/dl (3.9–7.8 mmol/l), without time spent in hypoglycaemia. …”
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