Fast surface reconstruction algorithm with adaptive step size. by Jingguo Dai, Yeqing Yi, Chengzhi Liu

“…To further improve the computational efficiency, an adaptive step size adjustment strategy for surface reconstruction algorithm is investigated. During each iteration, the step size is adaptively chosen based on the current residual-larger residuals may necessitate larger steps, while smaller ones might permit smaller steps. …”
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Information entropy based match field cutting algorithm by Peng-hao SUN, Ju-long LAN, Shao-jun ZHANG, Jun-fei LI

“…With the increasing diversity of network functions,packet classification had a higher demand on the number of match fields and depth of match table,which placed a severe burden on the storage capacity of hardware.To ensure the efficiency of matching process while at the same time improve the usage of storage devices,an information entropy based cutting algorithm on match fields was proposed.By the analysis on the redundancy of match fields and distribution pattern in a rule set,a match field cutting model was proposed.With the mapping of matching process to the process of entropy reduction,the complexity of optimal match field cutting was reduced from NP-hard to linear complexity.Experiment results show that compared to existing schemes,this scheme can need 40% less TCAM storage space,and on the other side,with the growing of table size,the time complexity of this algorithm is also far less than other algorithms.…”
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Application of Kalman Filtering Algorithm in the Tramcar GPS Positioning by ZHANG Shan, LI Hui, TANG Yong

“…In subway system, a lot of transponder are paved on the track to assist the positioning. While the positioning of tramcars is different from the subway because of the positioning and the cost, the tramcars system usually adopt the method of combination of a few transponders or beacons, the speed sensors and GPS to position comprehensively. …”
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Distributed Voronoi coverage algorithm in wireless sensor networks by XU Peng-fei1, CHEN Zhi-gang1, DENG Xiao-heng1

“…On the hypothesis conditions that wireless sensor networks only covered partial target region and the commu-nication radius was no less than twice of the sensing radius,a coverage-preserved and connected distributed Voronoi cov-erage algorithm was presented.Firstly,a method of detecting coverage redundancy sensors based on the local Voronoi re-gions was proposed,whose computational complexity was unconcerned with the density of sensors.Then,an en-ergy-prior self-scheduling strategy based on local Voronoi neighbors was proposed,where those sensors that were com-munication neighbors but not local Voronoi neighbors could synchronously execute self-scheduling,which improved the astringency of distributed scheduling.The simulation results show that the average number and coverage-degree of active sensors produced by the proposed algorithm are close to the centralized algorithm and smaller than the general distributed algorithm,while the proposed algorithm has more advantages in terms of active sensors’ average energy,scheduling as-tringency and runtime.…”
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A Consensus Routing Algorithm for Mobile Distributed Systems by Magali Arellano-Vázquez, Héctor Benítez-Pérez, J. Ortega-Arjona

“…In this regard, the algorithm proposed here makes it possible to avoid flooding while reducing bandwidth use and keeping changes of the network only at a local scale.…”
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Hardware implementation of RSA encryption algorithm based on pipeline by Yang Longfei, Lu Shi, Peng Kuang

“…Experimental results on a Xilinx XC7K410T FPGA development board demonstrate that while maintaining encryption speed, the hardware resources used by the improved RSA encryption algorithm are only half of those of the previous parallel structure and can operate at higher frequencies.…”
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Algorithms for Railway Embedded Control Devices for Safety Manoeuvres by Beinaroviča Anna, Gorobetz Mikhail, Alps Ivars

“…This study is dedicated to solve manoeuvres making task while working on the station with no marshalling hump. …”
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Machine learning algorithms for predicting unemployment duration in Russia by Anna A. Maigur

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Datacasting: TikTok’s Algorithmic Flow as Televisual Experience by Ellenrose Firth, Alberto Marinelli

“…Recommendation algorithms have acquired a central role in the suggestion of content within both subscription video on demand (SVOD) and advertising-based video on demand (AVOD) services and media-sharing platforms. …”
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Adversarial sample generation algorithm for vertical federated learning by Xiaolin CHEN, Daoguang ZAN, Bingchao WU, Bei GUAN, Yongji WANG

“…To adapt to the scenario characteristics of vertical federated learning (VFL) applications regarding high communication cost, fast model iteration, and decentralized data storage, a generalized adversarial sample generation algorithm named VFL-GASG was proposed.Specifically, an adversarial sample generation framework was constructed for the VFL architecture.A white-box adversarial attack in the VFL was implemented by extending the centralized machine learning adversarial sample generation algorithm with different policies such as L-BFGS, FGSM, and C＆amp;W.By introducing deep convolutional generative adversarial network (DCGAN), an adversarial sample generation algorithm named VFL-GASG was designed to address the problem of universality in the generation of adversarial perturbations.Hidden layer vectors were utilized as local prior knowledge to train the adversarial perturbation generation model, and through a series of convolution-deconvolution network layers, finely crafted adversarial perturbations were produced.Experiments show that VFL-GASG can maintain a high attack success while achieving a higher generation efficiency, robustness, and generalization ability than the baseline algorithm, and further verify the impact of relevant settings for adversarial attacks.…”
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Segmentation of Brain Tumor Images Using Genetic Algorithms by Mohameed Nathem, Manar Kashmola, Dhuha Abdullah

“…In both approaches tumor location was determined approximately, as a result the genetic algorithm was succeeded in about 85% while the first algorithm determine 80% of tumor locations.…”
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An Efficiency Analysis of Augmented Reality Marker Recognition Algorithm by Kurpytė Dovilė, Navakauskas Dalius

“…The obtained results demonstrate that augmented reality marker recognition algorithm is accurate and reliable in the case of changing lighting conditions and rotational angles - only 4 % markers were unidentified. …”
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EULER AND EXPONENTIAL ALGORITHM IN VISCOELASTIC ANALYSES OF LAMINATED GLASS by Jaroslav Schmidt, Alena Zemanová

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BOC Signal Acquisition Algorithm Based on Similar Enfoldment by Qi Han, Kejia Zhu, Caibo Hu, He Zhao, Shuang Wu, Yu Fu

“…This paper simulates the acquisition performance of the SEA algorithm, Martin algorithm, and SCPC algorithm, while the simulation result shows that the SEA algorithm is superior to the Martin algorithm and SCPC algorithm. …”
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Hierarchical Quantum Architecture Search for Variational Quantum Algorithms by Tong Zhao, Bo Chen, Guanting Wu, Liang Zeng

“…Designing efficient variational quantum algorithms (VQAs) is crucial for transforming the theoretical advantages of quantum algorithms into practical applications. …”
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Dissipative Variational Quantum Algorithms for Gibbs State Preparation by Yigal Ilin, Itai Arad

“…We demonstrate how such algorithms can prepare Gibbs states over a wide range of quantum many-body Hamiltonians and temperatures, while significantly reducing errors due to both coherent and noncoherent noise. …”
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Rethinking Metaheuristics: Unveiling the Myth of “Novelty” in Metaheuristic Algorithms by Chia-Hung Wang, Kun Hu, Xiaojing Wu, Yufeng Ou

“…In recent decades, the rapid development of metaheuristic algorithms has outpaced theoretical understanding, with experimental evaluations often overshadowing rigorous analysis. …”
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Viral Leadership: Algorithmic Amplification and the Rise of Leadership Fashions by Dag Øivind Madsen, Kåre Slåtten

“…Algorithms designed to maximize engagement selectively elevate certain leadership styles, such as authentic, servant, and transformational leadership, while marginalizing others, including transactional or directive approaches. …”
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Ｒesearch on Timing Synchronization Algorithm for Optical Signal Ｒeceiving by WANG Hong-min, CHEN Yang, LIU Zhen-zhou, WANG Yu, XUE Ping

“…Especially under the condition of low signalto- noise ratio，the bit error rate of the improved algorithm is around 0． 3，while the bit error rate of the S ＆ C algorithm is over 0． 9．…”
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A hybrid approach to enhance HbA1c prediction accuracy while minimizing the number of associated predictors: A case-control study in Saudi Arabia. by Faten Al-Hussein, Mali Abdollahian, Laleh Tafakori, Khalid Al-Shali

“…This study aims to develop hybrid prediction models that integrate the strengths of multiple algorithms to enhance HbA1c prediction accuracy while minimising the number of significant Key Performance Indicators (KPIs). …”
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