ε-approximate spatial-window aggregation algorithm in wireless sensor networks by Jing GAO, Jian-zhong LI, Yu LIU

“…An efficient ε-approximate spatial-window aggregate query processing technique was proposed to approximate aggregate values over arbitrary regions with arbitrary accuracy.A dynamic programming algorithm was devised to compute minimum number of data to refine approximate summation to reach arbitrary accuracy.The proposed algorithm was efficient to compute minimum/maximum values by only transmitting values promising to be in the exact results in order to reduce energy consumption.The experiment using real-world data demonstrates that the algorithms provide high quality results in arbitrary region and reach arbitrary accuracy with low energy cost.…”
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A Tunnel Surface Diseases Detection Algorithm Based on YOLOv4 by LI Jia, QIU Xinhua, JI Yuwen

“…Experimental results show that the detection speed can reach 55fps by using this algorithm and NVIDIA GeForce 2080Ti. …”
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Multi-hop wireless network oriented multiple jammers localization algorithm by Qi-ping WANG, Xiang-lin WEI, Jian-hua FAN, Tong-xiang WANG, Fei HU

“…Then, the algorithm moved toward the jammers using power adaptation technique based on RJSS gradient ascent process until it reached the RJSS peak point. …”
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Attention-Based Lightweight YOLOv8 Underwater Target Recognition Algorithm by Shun Cheng, Zhiqian Wang, Shaojin Liu, Yan Han, Pengtao Sun, Jianrong Li

“…The detection frame rate reaches 189 frames per second on the ROUD dataset, thus meeting the high accuracy requirements for underwater object detection algorithms and facilitating lightweight and fast edge deployment.…”
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Novel three‐dimensional ECG algorithm for reliable screening for cardiac amyloidosis by Amir A. Mahabadi, Jan Knobeloch, Viktoria Backmann, Lars Michel, Markus S. Anker, Reza Wakili, Christian Fach, Stefan D. Anker, Tienush Rassaf

“…In the derivation cohort, the AI algorithm reached a sensitivity of 85%, a specificity of 89%, a positive predictive value of 91%, and a negative predictive value of 87%. …”
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Depth first traversal algorithm for the back-off tree of distributed queuing by Wennai WANG, Yanhe ZHANG, Wei WU, Chen BAI, Bin WANG

“…An analytic model was provided for the conventional distributed queueing (DQ) and its back-off tree operations, followed by a design of improving algorithm based on depth first traversal.Combing the specific analysis of complete binary tree with generalized extension by random tree reconstruction, the performance of proposed algorithm was evaluated on the throughput in both theory and simulation experiment.A theoretic optimal solution of contention slots of DQ frame and a brief description of simulation extension based on the open source NS-3 were presented.The simulation results show that the maximum stationary throughput by the proposed algorithm reaches 70% of the physical capacity of channel.…”
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Complex network clustering algorithm based on Jordan-form of Laplace-matrix by Jian-wei NIU, Bin DAI, Chao TONG, Guan-ying HUO, Jing PENG

“…Among existing clustering algorithms,the graph-Laplacian-based spectrum clustering algorithm has rigorous theoretical basis and high accuracy.However,the application of this algorithm is limited by its dependence on the prior knowledge,such as the number and the size of clusters.Based on the Jordan form of graph Laplacian,an algorithm was proposed which can obtain the prior knowledge,and perform the primary clustering based on the eigenvalues of the Jordan form.The modularity density function of clusters was defined,and an improved spectrum clustering algorithm with the help of the function and the primary clustering was proposed.The experiments were conducted on diverse datasets showing that,compared with the classic algorithms such as Fast-Newman and Girvan-Newman,the algorithm can reach a high clustering accuracy and a fast convergence rate.…”
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Fuzzy kernel feature selection with multi-objective differential evolution algorithm by Emrah Hancer

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Design and analysis of active queue management algorithm based on predictive control by WANG Ping, CHEN Hong, LU Xiao-hui

“…Model predictive control as a novel active queue management（AQM） algorithm was proposed for Internet system with large delay,called MPAQM.Considering the causality of time-delay system,the predicted output was defined.Then,the control requirement was converted to the optimal control objective,and the drop probability was obtained by solving the optimal problem.Furthermore,the delay-independent stability condition of closed-loop system was derived,which gave the guidelines how to select the parameters of MPAQM algorithm to assure the stability and fast convergence of the network system.The performances of MPAQM were evaluated through a series of simulations in NS2 under the single/multiple topology.The simulation results show that the queue length with MPAQM algorithm reaches the desired value with minimal tracking error and lower drop probability.MPAQM algorithm outperforms RED,PI and SPI-RED algorithms in terms of disturbance rejection,stability,and robustness.…”
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Multi-scale ship detection algorithm in SAR images in complex scenes by He Shun, Wang Yuzhu, Yang Zhiwei

“…The experimental results show that the detection accuracy of the proposed method on SSDD and HRSID data sets reaches 97.9% and 93.1%, respectively, and the overall performance is better than the existing mainstream object detection algorithms.…”
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A Biphase Code Sidelobe Suppression Method Based on the CLEAN Algorithm by Yiding Liang, Liyu Tian

“…Finally, the sidelobes of the signal are suppressed using the CLEAN algorithm. Simulation results indicate that, under low SNR conditions, when processing a biphase-coded signal modulated by a 255-bit M-sequence, the degree of sidelobe suppression can reach 27.7 dB.…”
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NUMERICAL CONTROL MILLING PARAMETER OPTIMIZATION ON THE BASIS OF IMPROVED GENETIC ALGORITHM by YAN ShengLi, FU Hui, LI Hao

“…In addition, it allows the system to reach steady state more quickly.…”
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Python-Based Visual Classification Algorithm for Economic Text Big Data by Yihuo Jiang, Xiaomei Guo, Hongliang Ni, Wenbing Jiang

“…The simulation results show that the classification accuracy of the algorithm for the visual classification of economic text big data can reach 100%, and the classification time is less than 5 seconds. …”
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A Polyp Segmentation Algorithm Based on Local Enhancement and Attention Mechanism by Lanxi Fan, Yu Jiang

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Object Detection Algorithm Based on Feature Enhancement and Anchor-object Matching by LI Cheng-yan, ZHAO Shuai, CHE Zi-xuan

“…The mAP of the A-SSD algorithm on the PASCAL VOC data set reached 80.7, and the missed detection rate of the A-SSD algorithm on the workshop pedestrian data set was 3.5%, and the accuracy rate was 91.5%.…”
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Optimization of Railway Transportation Planning by Combining TST Model and Genetic Algorithm by Wei Cao, Fan Chen

“…The study proposes an integrated method that combines the Temporal-Spatial Tunnel (TST) model with the Genetic Algorithm (GA). The TST model describes railway transportation changes dynamically by integrating temporal and spatial dimensions. …”
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Adaptive Cooperative Search Algorithm for Air Pollution Detection Using Drones by Il-kyu Ha

“…The search continues iteratively until any vertex measurement reaches a predefined threshold. An improved algorithm is also proposed to address the divergence and oscillation that occur during the search. …”
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Novel distinguisher for SM4 cipher algorithm based on deep learning by Huijiao WANG, Xin ZHANG, Yongzhuang WEI, Lingchen LI

“…A method was proposed to construct a deep learning distinguisher model for large state block ciphers with large-block and long-key in view of the problem of high data complexity, time complexity and storage complexity of large state block cipher distinguishers, and the neural distinguishers were constructed for SM4 algorithm.Drawing inspiration from the idea that ciphertext difference could improve the performance of distinguishers, a new input data format for neural distinguisher was designed by using partial difference information between ciphertext pairs as part of the training data.The residual neural network model was used to construct the neural distinguisher.The training dataset for large blocks was preprocessed.Additionally, an improved strategy for model relearning was proposed to address the high specificity and low sensitivity of the constructed distinguisher.Experimental results show that the proposed deep learning model for SM4 can achieve 9 rounds neural distinguisher.The accuracy of 4～9 rounds distinguishers can reach up to 100%, 76.14%, 65.20%, 59.28%, 55.89% and 53.73% respectively.The complexity and accuracy of the constructed differential neural distinguisher are significantly better than those of traditional differential distinguishers, and it is currently the best neural distinguisher for the block cipher SM4 to our knowledge.It also proves that the deep learning method is effective and feasible in the security analysis of block cipher of large block.…”
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Inverse Kinematics Solution for Manipulators Based on the Artificial Evolved Hummingbird Algorithm by Wang Junru, Qin Pengfei, Sun Guangbin

“…The results show that the artificial evolution hummingbird algorithm is better than the comparison algorithm in terms of solving accuracy and stability, and the solving accuracy can reach 10^-9 mm, which can be applied to the inverse kinematics solving of multi-degree-of-freedom manipulators.…”
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An Application of Quasi Newton Algorithm and Improvement of Sliding Surface for Robot Control by Chi-Ngon Nguyen, Thanh Tung Pham

“…This article describes the use of an enhanced sliding surface and a Quasi-Newton algorithm for mobile robot control. To enhance performance and reduce chattering around a sliding surface, a proportional-integral sliding surface (PI-SS) is used. …”
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