Energy-saving algorithm considering idle light-path prediction in SDM-EON by Yu XIONG, Jinyou HE, Baohua WANG, Bin ZHOU

“…To effectively reduce the energy consumption,blocking rate and crosstalk between adjacent cores in a multi-core fiber for space division multiplexing elastic optical network (SDM-EON),an energy-saving algorithm considering idle light-path prediction was proposed.The extreme learning machine model was used to predict the traffic volume of each light-path in the network.Thus the idle light-path set and the maintenance time threshold of each idle light-path were obtained.Then,the actual maintenance time of the idle light-path was perceived by the prediction algorithm.Finally,in the light-paths where the actual maintenance time do not exceed the minimum maintenance time threshold and the inter-core crosstalk are lower than the crosstalk threshold,the idle light-path with the least loading energy consumption was selected to carry the new traffic.The simulation results show that compared with the traditional energy-saving algorithm,when the SDM-EON crosstalk limitation is satisfied,the proposed algorithm can lead better energy-saving while maintain the blocking rate at levels compatible.…”
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VIO/GPS Fusion Positioning Algorithm of Substation Inspection Robot Based on EKF by ZHANG Guifeng, ZHANG Zhongxuan, ZHOU Chaorong, YU Zhilong

“…The algorithm propagates the filter state through visual-inertial estimation and updates it using GPS measurements, effectively eliminating cumulative drift in position and heading, while requiring minimal computational resources. …”
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A fast video coding algorithm using data mining for video surveillance by Bingyue Xie

“…To address this challenge, we propose a novel fast coding algorithm optimized for video surveillance applications. …”
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Intelligent Detection Algorithm for Concrete Bridge Defects Based on SATH–YOLO Model by Lanlin Zou, Ao Liu

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Non‐Autoregressive Translation Algorithm Based on LLM Knowledge Distillation in English Corpus by Fang Ju, Weihui Wang

“…In the experimental phase, we utilized several standard English corpora to train and assess our algorithm. The findings indicate that, compared to current machine translation systems, our method significantly reduces the need for computational resources while preserving translation quality.…”
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Enhancing Diversity and Convergence in MMOPs with a Gaussian Similarity-Based Evolutionary Algorithm by Shizhao Wei, Da-Jung Cho

“…We introduce a mechanism that balances diversity in both the decision and objective spaces, aiming to enhance diversity while maintaining convergence in both spaces. We propose a multi-modal multi-objective evolutionary algorithm (MMEA) that selects qualified solutions based on Gaussian similarity. …”
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Classification algorithm for imbalance data of ECG based on PSOFS and TSK fuzzy system by Xinhui LI, Qing SHEN, Xiongtao ZHANG

“…., parallel ensemble fuzzy neural network based on PSOFS and TSK (PE-PT-FN), which was used for ECG prediction.Each class sample in the training set was randomly sampled, and the samples obtained by randomly sampled were added.Then, the feature selection method PSOFS was carried out independently and parallelly.In PSOFS, particles that were random initial positions represent different feature subsets and converge to the optimal positions after many iterations.Each subset had a corresponding feature subset.Several groups of TSK fuzzy neural network (TSK-FNN) were trained by each feature subset in parallel.Medical researchers could effectively find the correlation between ECG signal data and different types of disease through the interpretability of the fuzzy system and the feature subsets by the PSOFS algorithm.Experiments prove that PE-PT-FN greatly improves the macro-R to 92.35% while retaining interpretability.…”
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Enhancing curve smoothness with whale optimization algorithm in positivity and monotonicity-preserving interpolation by Salwa Syazwani Mahzir, Md Yushalify Misro

“…This study integrated a metaheuristic optimization method, specifically the whale optimization algorithm (WOA), to enhance the positivity and monotonicity-preserving interpolation methods by optimizing the free shape parameter. …”
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An Optimization Ranking Approach Based on Weighted Citation Networks and P-Rank Algorithm by Jian-feng Jiang, Shen Xu, Lan-tao You

“…To overcome this limitation, we present an optimization ranking algorithm that leverages the P-Rank algorithm and weighted citation networks to provide a more accurate article ranking. …”
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Adaptive Control Algorithm for Trajectory Tracking of Underactuated Unmanned Surface Vehicle (UUSV) by Chandanlal Karnani, Syed Akhter Raza, Muhammad Asif, Muhammad Ilyas

“…In this research, the designed algorithm defines the path and minimizes the disturbances to zero. …”
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Biliary Complications after Liver Transplant: Timeline, Spectrum, Management Algorithm, and Prevention by Akash Roy, Mahesh Kumar Goenka

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Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network by Huang Xiao, Hanqing Jian

“…However, the negative impact of covariate shifts among data channels on diagnostic accuracy is an issue that is often overlooked in data-driven algorithms based on multi-channel data. Therefore, extracting the most representative features from multi-channel data is key to achieving highprecision fault diagnosis.MethodsTo address this issue, this paper proposes a fault diagnosis algorithm based on a multi-channel neighbor feature convolutional network. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…This approach improved the accuracy and robustness of structural parameter identification while maintaining computational efficiency.MethodsMOMDBA is an enhanced version of the Directional Bat Algorithm （DBA）， a swarm intelligence optimization technique inspired by the echolocation behavior of bats. …”
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Bayesian Robust Tensor Decomposition Based on MCMC Algorithm for Traffic Data Completion by Longsheng Huang, Yu Zhu, Hanzeng Shao, Lei Tang, Yun Zhu, Gaohang Yu

“…And the tensor-based interpolation algorithm has obvious superiority in multidimensional data interpolation. …”
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Research on an internal model control algorithm and parameter tuning for metro traction PMSMs by SI Junmin, YUE Xuelei, TIAN Di, XU Kelei

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Regeneration Filter: Enhancing Mosaic Algorithm for Near Salt & Pepper Noise Reduction by Ratko M. Ivković, Ivana M. Milošević, Zoran N. Milivojević

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Comparative Evaluation of Traditional and Advanced Algorithms for Photovoltaic Systems in Partial Shading Conditions by Robert Sørensen, Lucian Mihet-Popa

“…Simulations conducted in the MATLAB/Simulink software package evaluated these algorithms’ performances under various shading scenarios. …”
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Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

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LEO multi-service routing algorithm based on multi-objective decision making by Li YANG, Jing SUN, Cheng-sheng PAN, Qi-jie ZOU

“…In low earth orbit(LEO) satellite networks,in view of the unbalanced link resource,it's difficult to meet differentiated quality of service(QoS) requirements and easily lead to reduce the efficiency of the whole network.A routing algorithm based on multi-objective decision making was proposed which defined LEO satellite network transmission service as the delay sensitive,sensitive bandwidth and reliability sensitive three categories.It used the eigenvector method to calculate service weights,and used the consistency ratio to determine whether it can be accepted.Based on the multi-objective decision making theory,it combined with the actual state of satellite network nodes and links and the specific requirements of the business,calculating the path that meets the QoS requirements of the service,so as to realize the LEO satellite network multi objective dynamic routing optimization.Established simulation platform based on the iridium network system simulated network delay,the uncertain characteristics like the residual bandwidth and packet error rate,route planning for the randomly generated three classes of business.The simulation results show that,the algorithm not only satisfies the QoS constrain while balancing the traffic load of the satellite link effectively,but also improves the performance on the throughput.…”
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Traceable ring signature scheme based on domestic cryptographic algorithm SM9 by XIE Zhenjie, YIN Xiaokang, CAI Ruijie, ZHANG Yao

“…To address the privacy protection issues of digital signature users and prevent the misuse of complete anonymity by malicious users, a traceable ring signature scheme based on the domestic cryptographic algorithm SM9 was proposed. The SM9 algorithm was an identity-based cryptographic algorithm independently developed by China, which was characterized by high security and excellent performance, eliminating the costs associated with public key infrastructure construction and certificate management. …”
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