Consumption quota compilation based on BP artificial neural network algorithm in mechanical and electrical installation engineering of prefabricated buildings by Xuwei Liu, Wenting Tang, Lisha Si, Yongde Li

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RETRACTED ARTICLE: Image Processing Algorithm for Mechanical Properties Testing of High-Temperature Materials Based on Time-Frequency Analysis by Dong Sun, Yong Wei

“…We, the Editor and Publisher of the Journal Of Experimental Nanoscience, have retracted the following article, which is part of the Special Issue titled Adaptive Nanotechnology for Environmental Sustainability:Dong Sun & Yong Wei (2023) Image processing algorithm for mechanical properties testing of hightemperature materials based on time‐frequency analysis, Journal of Experimental Nanoscience, 18:1, DOI: 10.1080/17458080.2023.2170357Following publication, concerns were raised about the peer review and decision‐making processes for this special issue.After an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor‐in‐Chief, it was confirmed that the article was not reviewed appropriately, in line with the Journal’s peer review standards and policy.As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract the article. …”
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GIS vibration signal denoising algorithm based on SVD-IACMD by TU Jiayi, GUAN Xiangyu, ZHAO Junyi, LIN Jiangang, LAI Zekai

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A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials by Xiao Feng, Yuchen Lai, Xing Yang, Yongbin Yu, Fangling Li, Xiangxiang Wang, Jiacheng Liang, Jingye Cai, Shunze Cao

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GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

“…This study introduces GA-Attention-Fuzzy-Stock-Net, a novel hybrid architecture that integrates genetic algorithms, attention mechanisms, and neuro-fuzzy systems for stock market price prediction. …”
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A Sleep Scheduling Mechanism with PSO Collaborative Evolution for Wireless Sensor Networks by Luobing Dong, He Tao, William Doherty, Marten Young

“…This paper proposes a particle swarm optimization sleep scheduling mechanism for use in wireless sensor networks based on sleep scheduling algorithm. The mechanism adopts the approach of density control and finds the redundant nodes based on the computation results of the network coverage. …”
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Survey on data transmission in Bluetooth technology by Zhi-hong QIAN, Dan LIU

“…The different impact assessments on performance of data transmission of multiple Bluetooth protocol versions were analyzed.Packet selection algorithms,retransmission mechanisms,interference and security were discussed respectively.Strategies,employing extended-golay code and minimum frequency shift keying (MSK) modulation were proposed,which enhanced the probability of anti-interference and throughput of data packet.Moreover,a co-channel interference suppression approach based on channel switching and MSK modulation was proposed,which improved the carrier to interference ratio and throughput in piconets.Finally,the work was summarized and expectations as well as premeditation of the future were presented.…”
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Traffic measurement algorithm based on least recent used and Bloom filter by Zhen ZHANG, Bin-qiang WANG, Feng-yu ZHANG, Ning-ning LIANG

“…Aiming at the naïve algorithm’s deficiency of high false negative probability,a novel scheme called LRU-BF(least recent used ＆amp;Bloom filter) was presented.In order to achieve high accuracy,the algorithm adopted mechanisms of LRU eliminating and Bloom filter representation to separate the process of heavy-hitter fliteration from the heavy-hitter recognition.Based on statistical theory,analytical expressions about upper-bound error probability were deduced.Simulated results indicate that LRU-BF can achieve space saving and lower error probabilit compared with Naïve-LRU algorithm.Meanwhile,it can also support the 10Gbit/s line-speed processing.…”
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Detection of selfish nodes based on credit mechanism in opportunistic networks by Zuo-yong TANG, Yi-jia YUAN, Yong-qiang DONG, Guo-xin WU

“…The existence of selfish nodes seriously affects the routing performance of opportunistic networks(OppNet).To protect the OppNet against the nodes’ selfish behavior,a credit-based selfish nodes detection mechanism was proposed to make it possible to keep away from such nodes during the process of message forwarding.The mechanism leverages 2-ACK messages to observe the nodes’behavior.Then the credit value was calculated based on the observation information and accordingly acts as the metric to distinguish the selfish nodes.Simulation results show that,when coupled with various routing algorithms,the mechanism could detect selfish nodes out accurately,and improve network performance effectively in terms of delivery rate and traffic load.…”
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Automatic Synthesis Algorithm of Topological Structure of Series Mechanism by Liu Xiaoshan, Luo Yufeng, Shi Zhixin, Wang Gang, Xia Yongqiang

“…Then,the locations relationships among kinematic pairs are thoroughly enumerated by using the method of exhaustion,the automatically solving of position and orientation characteristics set is realized by using algorithm,the mechanism that meet the requirement is selected,and the GUI human-computer interaction interface is designed. …”
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Study on the Workspace and Structural Parameter Optimum of Parallel Mechanism based on Waterwave Method by Xia Yongqiang, Luo Yufeng, Shi Zhixin, Yang Long, Zou Jinlong, Li Shaoshuai

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Gradient descent Sarsa(?)algorithm based on the adaptive potential function shaping reward mechanism by Fei XIAO, Quan LIU, Qi-ming FU, Hong-kun SUN, Long GAO

“…In the reinforcement leaning tasks with continuous state spaces,the algorithms are usually facing the problems of ill initial performance and low convergence speed.In order to solve these problems,the potential function shaping reward mechanism was proposed to improve the reinforcement learning algorithms.This mechanism propagates model knowledge to the learner adaptively in the form of the additional reward signal,so that the initial performance and convergence speed could be improved effectively.In view of the good performance and existing problems of the radial basis function (RBF) network,the adaptive normalized RBF (ANRBF) network was put forward to use as a potential function to generate the shaping rewards.A gradient descent (GD)algorithm named ANRBF-GD-Sarsa(?) …”
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Analysis on waypoint-segment routing and performance evaluation for LEO satellite networks by Xin ZHAO, Guang ZHAO, Rui CHEN, Wennai WANG

“…A waypoint-segment routing (WSR) algorithm was proposed.Based on the predictable periodicity of the topological changes of satellite network, the location of satellite waypoints based on the link state of satellite nodes at the current moment was determined by WSR algorithm.The mechanism of flexible planning of packet transmission paths was responded by segment routing to changes in satellite network topology in advance, and a packet transmission path that was not affected by network topology snapshot switch was calculated.Simulation experiment was based on the NS-3, and the optimized link state routing (OLSR) algorithm and the shortest path algorithm were selected to compare with WSR in order to analyze the delay jitter and packet loss rate.It was proved that compared with OLSR, the maximum delay jitter of WSR was reduced by 46 ms and 126 ms respectively in the two scenarios, the packet loss rate was reduced by 30% and 21% respectively, and the problem of packet transmission path interruption caused by topology snapshot switching can be solved.…”
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Analysis on waypoint-segment routing and performance evaluation for LEO satellite networks by Xin ZHAO, Guang ZHAO, Rui CHEN, Wennai WANG

“…A waypoint-segment routing (WSR) algorithm was proposed.Based on the predictable periodicity of the topological changes of satellite network, the location of satellite waypoints based on the link state of satellite nodes at the current moment was determined by WSR algorithm.The mechanism of flexible planning of packet transmission paths was responded by segment routing to changes in satellite network topology in advance, and a packet transmission path that was not affected by network topology snapshot switch was calculated.Simulation experiment was based on the NS-3, and the optimized link state routing (OLSR) algorithm and the shortest path algorithm were selected to compare with WSR in order to analyze the delay jitter and packet loss rate.It was proved that compared with OLSR, the maximum delay jitter of WSR was reduced by 46 ms and 126 ms respectively in the two scenarios, the packet loss rate was reduced by 30% and 21% respectively, and the problem of packet transmission path interruption caused by topology snapshot switching can be solved.…”
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Les plateformes numériques et le BIG RESET de la connaissance by Domenico Fiormonte

“…Not only to resist homogenization, but also to confound and override their algorithmic governance mechanisms.…”
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Review of State Estimation Methods for Autonomous Ground Vehicles: Perspectives on Estimation Objects, Vehicle Characteristics, and Key Algorithms by Xiaoyu Wang, Te Chen, Renzhong Wang, Jiankang Lu, Guowei Dou

“…Based on the discussion of the importance, development history, and application fields of this topic of research, it focuses on analyzing vehicle state estimation techniques from different perspectives, namely (1) from the perspective of the estimation objects, including vehicle attitude and driving state estimations, chassis component key dynamic parameter estimations, and vehicle driving environment state estimations; (2) from the perspective of vehicle characteristics, including vehicle dynamics coupling characteristics, vehicle multi-source information redundancy characteristics, and vehicle state transition characteristics; (3) from the perspective of key estimation algorithms, including model-based Kalman filtering algorithms, data-driven machine learning algorithms, and optimization estimation algorithms combining mechanism-based and data-driven approaches. …”
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Differences in spatiotemporal dynamics for processing specific semantic categories: An EEG study by Trang Thi Le, Do Anh Quan Luong, Hyosung Joo, Dongseok Kim, Jihwan Woo

“…Despite recent advances in brain imaging techniques and data analysis algorithms, the mechanisms underlying human brain semantic representations remain a topic of debate, specifically whether this occurs through the activation of selectively separated cortical regions or via a network of distributed and overlapping regions. …”
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Robust and Fast Point Cloud Registration for Robot Localization Based on DBSCAN Clustering and Adaptive Segmentation by Haibin Liu, Yanglei Tang, Huanjie Wang

“…Firstly, a judgment mechanism is incorporated into the DBSCAN algorithm. This mechanism is based on the standard deviation and correlation coefficient of point cloud clusters. …”
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Shape optimization and mechanical properties analysis of the free-form surface by Cui Guoyong, Cui Changyu

“…The optimization model, sensitivity analysis, optimum algorithm, and mechanics analysis program were all implemented in FORTRAN language, with two free-form continuous shell structure surfaces to demonstrate the correctness and effectiveness of the method. …”
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Fuzzy Encryption Search Scheme and Data Verification Mechanism Based on Blockchain by Kuan Li

“…Second, the study proposes a blockchain data verification mechanism that employs a fuzzy encryption search scheme, in conjunction with cloud storage and a fuzzy encryption algorithm. This mechanism is designed to ensure data integrity and confidentiality. …”
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