Virtual machine placement algorithm based on cuckoo search by Donghan JIANG, Haitao LIN

“…A cuckoo search algorithm was introduced for virtual machine placement.Firstly,the virtual machine placement program was mapped to the nest,and according to the level,the fitness would be divided into top and bottom nest.Secondly,the bottom nest and the top nest were disturbed by the disturbance function.Finally,by selecting,iterations got the best placement scheme.The algorithm was used for physical integration of cloud data centers,minimizing the number of physical machines placed.The algorithm is simulated by Cloudsim and the results show that the proposed method not only avoids the local optimum,but also has higher performance advantages than the reordered grouping genetic algorithm,the group genetic algorithm,the improved least load algorithm and the improved first fit decrease algorithm.…”
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An AkNN Algorithm for High-Dimensional Big Data by Zhongwei Wang, Yefang Chen, Siyou Xiao, Jiangbo Qian

“…A new variant of k nearest neighbor queries，which called as all k-nearest neighbor queries（AkNN），is a process to search the k nearest neighbors of each object in a data set.An AkNN query algorithm for high-dimensional big data on the Hadoop system was proposed.Using the banding technique and the p-stable LSH algorithm，dimensionality reduction was performed，then the data was embeded in a Z-order curve.The preprocessed data were continued to be treated on a MapReduce framework in a distributed parallel manner.Experimental results show that the proposed algorithm can efficiently handle AkNN queries for large-scale high-dimensional data.…”
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Application of Golden Sine Algorithm in Hydrogeological Parameter Optimization by ZHOU Yourong, LI Na, ZHOU Fahui

Subjects: “…golden sine algorithm…”
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Machine learning algorithm for intelligent detection of WebShell by Hua DAI, Jing LI, Xin-dai LU, Xin SUN

“…WebShell is a common tool for network intrusions,which has the characteristics of great harm and good concealment.The current detection method is relatively simple,and easy to be bypassed,so it is difficult to deal with complex and flexible WebShell.To solve these problems,a supervised machine learning algorithm was put forward to detect WebShell intelligently.By learning the features of existing WebShell and non-existing WebShell pages,the algorithm can make prediction of the unknown pages,and the flexibility and adaptability were both very good.Compared with the traditional WebShell detection methods,the experiment proves that the algorithm has higher detection efficiency and accuracy,and at the same time there is a certain probability to detect new types of WebShell.…”
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QGA-based network service extension algorithm in NFV by Hang QIU, Hongbo TANG, Wei YOU, Yu ZHAO, Yi BAI

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Theory and Algorithms of Variational Inequality and Equilibrium Problems, and Their Applications by Xie-ping Ding, Nan-jing Huang, Fu-quan Xia, Qing-bang Zhang, Qamrul Hasan Ansari

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Typhoon localization detection algorithm based on TGE-YOLO by Lan He, Ling Xiao, Peihao Yang, Sheng Li

“…Abstract To address the problems of complex cloud features in satellite cloud maps, inaccurate typhoon localization, and poor target detection accuracy, this paper proposes a new typhoon localization algorithm, named TGE-YOLO. It is based on the YOLOv8n model with excellent high-low feature fusion capability and innovatively achieves the organic combination of feature fusion, computational efficiency, and localization accuracy. …”
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Path assessment based network admission control algorithm by QIU Gong-an1, XU Chen1, ZHANG Guo-an1, BAO Zhi-hua1

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Resource Scheduling Algorithm Based on DQN in Satellite CDN by Jiaran ZHANG, Yating YANG, Tian SONG

“…With the rapid development of space and information fi eld, hot content distribution intensive scenes will become one of the key directions of satellite network application, and satellite content delivery network (CDN) network is an important means to improve the effi ciency of air and space content distribution.In the architecture of satellite CDN network, due to the uneven time and space of business requirements, the scarcity of satellite resources and the insuffi cient adaptability of existing scheduling algorithms, scheduling algorithms for satellite resources are faced with problems such as high resource dimension, many computing states and large amount of computation, which will reduce the accuracy, response speed and computing performance of scheduling decisions.To solve this problem, a resource scheduling algorithm based on Deep Q-Learning (DQN) algorithm was proposed to improved the effi ciency and accuracy of satellite resource scheduling, and intelligently and quickly perceived the resource situation to make scheduling decisions.Firstly, the user requests were classifi ed, and the shortest path set that the satellite could communicated with was calculated according to the time-varying trajectory of the satellite and the resources of the satellite and the ground.After that, the related information of satellites and users was quantifi ed by Markov model modeling, and the optimal CDN storage node of satellites was calculated by DQN algorithm, which achieved the eff ects of reduced user request delay, reduced satellite-ground resource occupancy rate and improved cache hit rate.…”
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A Critical Review of Structural Topology Optimization Algorithms by Jiao Yuhang

“…In the past 30 years , the field of structural topology optimization has developed rapidly, and many representative algorithms such as homogenization algorithm, solid isotropic material with penalization algorithms and evolutionary structural optimization algorithms have emerged. …”
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Accurate 3D Mapping Algorithm for Flexible Antennas by Saed Asaly, Boaz Ben-Moshe, Nir Shvalb

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Double-coset enumeration algorithm for symmetrically generated groups by Mohamed Sayed

“…A double-coset enumeration algorithm for groups generated by symmetric sets of involutions together with its computer implementation is described.…”
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DNA algorithm of primeness test based on finite automaton by YANG Xue-qing, LIU Zhong-kan

“…Finite automaton,a computational model of extremely limited computing ability,was proved to have the capa-bility of solving primeness test by construction.Then,a DNA algorithm of the primeness test based on finite automaton was proposed.Furthermore,the method of constructing the finite automaton was presented in detail.The state of the fi-nite automaton was encoded by single-stranded DNA.The input was encoded by double-stranded DNA.The transition rule was represented by a double strand with a ring.The state of transition was realized by enzyme-mediated chemical reactions.The innovation of the algorithm is that it can be applied not only in primeness test but also in prime factoriza-tion and further in attack of RSA cipher.The advantage of this method is that it can be easily implemented.The time re-quired is polynomial in the size of the problem instead of exponential in the size of the problem.…”
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Assessing Institutional Performance Using Machine Learning Algorithms by zainabalwan anwer, Ahmad Abdalrada, Ihtiram Raza Khan

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High maneuvering target tracking ATPM-IMM algorithm by Hao ZENG, Wangqiang MU, Shunping YANG

Subjects: “…interacting multiple model algorithm…”
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A Novel Tornado Detection Algorithm Based on XGBoost by Qiangyu Zeng, Guoxiu Zhang, Shangdan Huang, Wenwen Song, Jianxin He, Hao Wang, Yin Liu

“…In addition, the TDA-XGB algorithm combines artificial intelligence-assisted learning to optimize the traditional algorithm based on the tornado vortex signature (TVS) and tornado debris signature (TDS), further improving the detection effect. …”
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An algorithm of parameter identification in applied crop ontogenesis models by Vitalijus Denisovas, Natalija Juščenko

“…The proposed parameter identification algorithm of applied crop development model was approved using standard meteorological and agrometeorological data obtained from Lithuanian Hidrometeorological Service and Lithuanian Institute of Agriculture. …”
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Image zero-watermarking algorithm based on region of interest by ZHANG Li-bao, MA Xin-yue, CHEN Qi

“…Based on ROI, a new watermarking algorithm was proposed.First, ROI was selected.Then, the wavelet transform was executed and ROI mask was constructed.Finally, the zero-watermarking was designed for the wavelet coefficients in ROI mask.The experimental results show that the zero-watermarking is more robust in the new algorithm than others that are not designed for ROI when the ROI of image is decoded at higher quality than the background.Additionally, the new algorithm can ensure ROI not to be disturbed by the watermarking information because of the zero-watermarking.…”
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A Novel Hybrid Self-Adaptive Bat Algorithm by Iztok Fister, Simon Fong, Janez Brest, Iztok Fister

“…Nature-inspired algorithms attract many researchers worldwide for solving the hardest optimization problems. …”
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Iterative Algorithms for the Split Problem and Its Convergence Analysis by Zhangsong Yao, Arif Rafiq, Shin Min Kang, Li-Jun Zhu

“…In this paper, the split common fixed point problem associated with the pseudocontractions is studied. An iterative algorithm has been presented for solving the split common fixed point problem. …”
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