Corrigendum to “Hardware Accelerators Targeting a Novel Group Based Packet Classification Algorithm” by O. Ahmed, S. Areibi, G. Grewal

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Research on adaptive rate control algorithm for H.264 based on R-Q model by Xin-zi ZHENG, Bing-qing LUO, Zhi-xin SUN

“…The foundation theory of rate control theory in H.264 video coding standard was analyzed.The latest research work about rate control algorithm were summarized.On the basis of analysis.A novel frame-level rate control algorithm was proposed.Firstly,in order to reduce the inter-dependency between RDO (rate-distortion optimization) and rate control,a kind of two-stage rate control algorithm was presented.Secondly,to provide more accurate prediction of the frame complexity,instead of the MAD (mean absolute difference),bits information in the RDO-based mode decision process was employed to predict the frame complexity.Thirdly,a self-adaptive exponential R-Q model was proposed.The proposed rate control algorithm overcomes the disadvantages in the rate control precision and encoding performance of former algorithms.…”
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A Selection Model of Strategic Emerging Industries in Fujian Based on Entropy-VIKOR Algorithm by Qionge Zheng, Kunhui Chen, Deyi Kong, Jingxuan Liang, Jingjing Wu

“…Then, the entropy-VIKOR algorithm was introduced to evaluate and rank the backbone enterprises in Fujian, based on the data on 21 listed enterprises of strategic emerging industries in the province from 2017 to 2019. …”
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A Risk Assessment Algorithm for College Student Entrepreneurship Based on Big Data Analysis by Chengjun Zhou, DuanXu Wang

“…The study results of this article provide a reference for further researches on the risk assessment algorithm of college student entrepreneurship based on big data analysis.…”
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Robust algorithm for gain-and-phase errors estimation against the direction deviations of calibration sources by Ding WANG, Hui YAO, Ying WU

“…The direction deviations of the calibration sources would significantly degrade the calibration accuracy of array gain-and-phase errors.Aiming to this problem,a robust calibration algorithm for gain-and-phase errors against the location deviations was presented under the assumption that the prior probability distribution of the location deviation was known.The idea of the robust algorithm was based on subspace fitting criterion and Bayesian estimation theory framework.The gain-and-phase errors were obtained through calculating the eigenvector associated with the minimum eigenvalue of some real symmetric matrix without estimating the locations of calibration sources.The closed-form Cramér-Rao bound(CRB)for the unknown parameters was derived,and the asymptotic distributions of the robust algorithm as well as the Cheng method were also given in the presence of direction deviations.Both the theory analysis and the simulation experiments validate that the asymptotic performance of the robust algorithm can reach the CRB under some moderate conditions and outperform the Cheng method when the location deviations exist.…”
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Evaluation Technique of Chloride Penetration Using Apparent Diffusion Coefficient and Neural Network Algorithm by Yun-Yong Kim, Byung-Jae Lee, Seung-Jun Kwon

“…This paper proposes a simple analysis technique for chloride behavior using apparent diffusion coefficient from neural network algorithm with time-dependent diffusion phenomena. …”
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MUITI-OBJECTIVE OPTIMAZATION IN THE ELECTRICAL DISCHARGE MACHINING OF THE TA7 BASED ON BSO ALGORITHM by ZHANG LiXin, YANG Kang, LI YuXi

Subjects: “…Brain storm optimization algorithm…”
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Mining Taxi Pick-Up Hotspots Based on Grid Information Entropy Clustering Algorithm by Shuoben Bi, Ruizhuang Xu, Aili Liu, Luye Wang, Lei Wan

“…In view of the fact that the density-based clustering algorithm is sensitive to the input data, which results in the limitation of computing space and poor timeliness, a new method is proposed based on grid information entropy clustering algorithm for mining hotspots of taxi passengers. …”
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Network media streaming offloading algorithm based on QoE in mobile edge network by Zaijian WANG, Hao CHENG

“…Aiming at the problems of high-latency, high energy consumption, high bandwidth, and poor quality of experience (QoE) caused by emerging network media streaming business in mobile edge computing, a computing offloading algorithm based on QoE feedback configuration was proposed.Firstly, both preprocessing and priority were comprehensively considered to maximize network resource utilization.Meanwhile, different weights were assigned to the computation tasks for establishing a resource allocation relationship.Secondly, after comprehensively taking into account deadline, computing resource, power and bandwidth constraint, an QoE model was established where the optimization objective was the weighted sum of task delay, energy consumption and precision, and the method of Lagrange multipliers was utilized to solve the established model.Simulation results indicate that, compared with the deep reinforcement learning-based online offloading algorithm, the proposed algorithm can effectively optimize the resource allocation and better improve the QoE.…”
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Deep Learning algorithm for the assessment of the first damage initiation monitoring the energy release of materials by Dario Santonocito, Dario Milone

“…This work aims to create a universal methodology that predicts the limit stress by assessing the change in temperature trend by adopting Neural Networks. A Deep Learning algorithm has been created and trained on experimental data coming from static tensile tests performed on several classes of materials (steels, plastics, composite materials). …”
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A kurtosis-ESPRIT algorithm for RealTime stability assessment in droop controlled microgrids by Adham Osama, Abdallah F. El-Hamalawy, Mohammed E. Ammar, Amr M. AbdelAty, Hatem H. Zeineldin, Tarek H. M. EL-Fouly, Ehab F. El-Saadany

“…The modes obtained from the proposed algorithm are validated against the analytically derived modes and the estimation accuracy is compared to the recent methods: Prony, Matrix Pencil, and Subspace Identification techniques. …”
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COORDINATED CONTROL ALGORITHM FOR SEMI-ACTIVE SUSPENSION IN VARIOUS ROAD CONDITIONS BASED ON NAVIGATION by YAO JiaLing, SHI WenKu, CHEN ZhiYong, SUN Yu, Saied Taheri

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Multichannel Filtered-X Error Coded Affine Projection-Like Algorithm with Evolving Order by J. G. Avalos, A. Rodriguez, H. M. Martinez, J. C. Sanchez, H. M. Perez

“…Affine projection (AP) algorithms are commonly used to implement active noise control (ANC) systems because they provide fast convergence. …”
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Retracted: IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm by Journal of Control Science and Engineering

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Design and Optimization of Iron Cow Stem with Flaps by Finite Element Method and Genetic Algorithm by Khaled Kamal Oude, Ali Adelkhani

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Genetic algorithm-tabu search for mobile agents measurement scheduling in wireless sensor networks by WANG Sheng, WANG Xue, BI Dao-wei

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Solving Singular Two-Point Boundary Value Problems Using Continuous Genetic Algorithm by Omar Abu Arqub, Zaer Abo-Hammour, Shaher Momani, Nabil Shawagfeh

“…In this paper, the continuous genetic algorithm is applied for the solution of singular two-point boundary value problems, where smooth solution curves are used throughout the evolution of the algorithm to obtain the required nodal values. …”
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The Application of Convolutional Neural Network Combined with Fuzzy Algorithm in Colorectal Endoscopy for Tumor Assessment by Te-Jen Su, Feng-Chun Lee, Cheuk-Kwan Sun, Fu-Xiang Ke, Shih-Ming Wang, Ming-Chih Huang

“…When this method is combined with the patient’s physical data, the risk cancer can be calculated by the fuzzy algorithm. Based on the result of this study, the accuracy of the tumor profile by colonoscopy, that is, 81.6%, is more precise than that of colorectal cancer tumor analysis studies in the recent literature. …”
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Low complexity hybrid precoding algorithm for massive MIMO based on modified Newton method by Bo HU, Anding WANG, Guiyi WEI

“…A phase tracking algorithm was proposed for massivemultiple-input multiple-output(MIMO) systems based on the modified Newton (MN) method, which effectively reduced the high computational complexity in traditional high-performance hybrid precoding schemes.The algorithm optimized the analog precoding matrix from the perspective ofsub-dimensional vector recovery.In each sub-dimension optimization, the phase tracking method was used to transform the recovery of the analog precoding vectors into an unconstrained nonlinear optimization problem, which was then solved using the MN method.Concurrently, this strategy led to a marked reduction in the computational intricacy pertaining to both the computation of correction factors and the inversion of the Hessian matrix within the framework of the MN method.This was achieved through the insightful incorporation of Gerschgorin’s Disk theorem and the Hermitian matrix block-inverse lemma.Simulation results show that the proposed algorithm has higher spectral efficiency and lower computational complexity than several conventional high-performance hybrid precoding schemes.…”
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Architectural Interior Modeling Product Design Based on the Multimedia Three-Dimensional Hybrid Algorithm by Tao Su, Gang Ouyang

“…The simulation experiment results show that the model based on the multimedia 3D hybrid algorithm has high practicability.…”
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