An Efficient TDOA-Based Localization Algorithm without Synchronization between Base Stations by Sangdeok Kim, Jong-Wha Chong

“…An efficient localization algorithm is proposed by utilizing the time difference of arrival (TDOA) without synchronization between base stations. …”
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A New Hybrid Butterfly Optimization Algorithm for Green Vehicle Routing Problem by Dana Marsetiya Utama, Dian Setiya Widodo, Muhammad Faisal Ibrahim, Shanty Kusuma Dewi

“…It was inspired by the butterfly optimization algorithm (BOA), which was by combining the tabu search (TS) algorithm and local search swap and flip strategies. …”
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Data center traffic scheduling strategy based on Fibonacci tree optimization algorithm by Yaomin WANG, Xia WANG, Yi DONG, Songhai ZHANG, Xinling SHI

“…To improve traffic scheduling capabilities in network provider data centers,both network structure and network traffic flow were considered at the same time.The analysis prediction and online scheduling mechanism was proposed in data center based on software defined networking (SDN).Aiming at the multi-dimensional,multi-constrained and multi-modal problems of traffic flow scheduling in data centers,the traffic flow scheduling strategy based on Fibonacci tree optimization (FTO) algorithm was proposed.FTO algorithm was embedded into two stages of analysis prediction and online scheduling,took it advantage of global local alternating and multi-model optimization characteristics,the optimal solution and suboptimal solutions of traffic scheduling had been got at one time.The emulator result shows that,the FTO traffic scheduling strategy can schedule traffic in data centers reasonably,which improves the load balancing capability of network providers' data centers effectively.…”
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Convergence of the High-Accuracy Algorithm for Solving the Dirichlet Problem of the Modified Helmholtz Equation by Hu Li, Guang Zeng

“…In this paper, we derive the convergence for the high-accuracy algorithm in solving the Dirichlet problem of the modified Helmholtz equation. …”
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An Improved YOLOv7-Tiny-Based Algorithm for Wafer Surface Defect Detection by Mengyun Li, Xueying Wang, Hongtao Zhang, Xiaofeng Hu

“…Experiments conducted on a self-constructed dataset show that the improved algorithm achieved a mean Average Precision (mAP) of 90.1%, representing a 3.2% increase over the original algorithm. …”
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A Study on the Enhanced Best Performance Algorithm for the Just-in-Time Scheduling Problem by Sivashan Chetty, Aderemi O. Adewumi

“…To solve the JIT scheduling problem presented in this study, a new local search metaheuristic algorithm, namely, the enhanced Best Performance Algorithm (eBPA), is introduced. …”
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Convergence of Batch Split-Complex Backpropagation Algorithm for Complex-Valued Neural Networks by Huisheng Zhang, Chao Zhang, Wei Wu

“…The batch split-complex backpropagation (BSCBP) algorithm for training complex-valued neural networks is considered. …”
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Improvement of Citrus Yield Prediction Using UAV Multispectral Images and the CPSO Algorithm by Wenhao Xu, Xiaogang Liu, Jianhua Dong, Jiaqiao Tan, Xulei Wang, Xinle Wang, Lifeng Wu

“…To further improve the model prediction performance, we explored a method that utilizes a hybrid coding particle swarm optimization algorithm (CPSO) coupled with XGB and SVM models. The coupled models had a significant improvement in predicting the number and quality of citrus fruits, especially the model of CPSO coupled with XGB (CPSO-XGB). …”
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Research on resource allocation algorithm of centralized and distributed Q-learning in machine communication by Yunhe YU, Jun SUN

“…Under the premise of ensuring partial machine type communication device (MTCD)’s quality of service (QoS) requirements, the resource allocation problem was studied with the goal of maximizing system throughput in the massive machine type communication (mMTC) scenario.Two resource allocation algorithms based on Q-learning were proposed: centralized Q-learning algorithm (team-Q) and distributed Q-learning algorithm (dis-Q).Firstly, taking into account MTCD’s geographic location and multi-level QoS requirements, a clustering algorithm based on cosine similarity (CS) was designed.In the clustering algorithm, multi-dimensional vectors that represent MTCD and data aggregator (DA) were constructed, and MTCDs can be grouped according to the CS value between multi-dimensional vectors.Then in the MTC network, the team-Q learning algorithm and dis-Q learning algorithm were used to allocate resource blocks and power for the MTCD.In terms of throughput performance, team-Q and dis-Q algorithms have an average increase of 16% and 23% compared to the dynamic resource allocation algorithm and the greedy algorithm, respectively.In terms of complexity performance, the dis-Q algorithm is only 25% of team-Q algorithm and even below, the convergence speed is increased by nearly 40%.…”
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Multi-objective optimization of hybrid energy systems using gravitational search algorithm by Sayyed Mostafa Mahmoudi, Akbar Maleki, Dariush Rezaei Ochbelagh

Subjects: “…Gravitational search algorithm…”
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Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm by Vedant Singh, Somesh K. Sharma, S. Vaibhav

“…The purpose of this paper is to present a simplified method to optimize the aircraft MTOW using a genetic algorithm approach. For the optimization of MTOW of transport aircraft, a MATLAB program consisting of genetic algorithm techniques with appropriate genetic algorithm parameters setting was developed. …”
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Low complexity acquisition algorithm for GPS signals with low SNR and high dynamic by Zhu-lin XIONG, Ce-lun LIU, Jian-ping AN, Ze-bin XIE

“…A frequency-domain segmental shift average periodogram acquisition algorithm for GPS signals with low SNR and high dynamic was proposed. …”
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Improved Artificial Potential Field Method for Dual-manipulator Path Planning Algorithm by Haonan Ma, Zhian Zhang, Qingliang Li

“…Simulation experiments show that the improved algorithm overcomes the shortcomings of local minima and realizes the path planning of the dual-manipulator system.…”
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WSN data gathering algorithm based on compressive sensing and matrix completion technique by Ce ZHANG, Ou LI, Xin TONG, Yanping YANG

“…The unreliable links and packet losing are ubiquitous in WSN.The performance of data collection algorithm based on compressive sensing is sensitive to packet losing.Firstly,the relationship between packet loss rate and CS-based reconstruction precision was analyzed,and the sparsest block measurement (SBM) matrix was formulated to keep the data gathering consumption smallest and make sure the low-rank property of measurements.Then,combined with the matrix completion (MC) and compressive sensing (CS),the CS data gathering algorithm based on sparsest block measurement matrix (CS-SBM) algorithm was proposed.CS-SBM gathered data in a period and recovered the loss data based on MC to weaken the impact of packet loss on data gathering.CS-SBM reconstructed data based on CS to reduce measurement number and energy consumption and prolong the network lifetime.Simulation analysis indicates that the proposed algorithm reconstruct the whole data with high-accuracy under 50% packet loss rate,resisting unreliable links effectively.…”
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Network real-time scheduling algorithm based on multi-feature dynamic priority by Xun SU, Yanfang LI, Ning ZONG, Wei WEI, Juan LI, Ying DING

“…Real-time task scheduling system structure and task model were proposed aiming at the network real-time scheduling problem.The task degree of urgency was defined by considering the deadline of task,execution time and interval time between works.The task degree of tightness was proposed based on service-level assurance,according to functional importance of different tasks in the real-time task scheduling system.The thrashing limit for avoiding task switching frequently was acquired through dynamic regulation to task priorities by degree of urgency and degree of tightness,which guaranteed the success rate of tasks execution and utilization ratio of client execution.Test simulation results suggest that the multi-feature dynamic priority scheduling strategy improves the success rate of task scheduling and shorten the average response time,which suggests it has obvious superiority compared with BE and EDF scheduling algorithm.…”
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Online blind equalization algorithm with echo state network based on prediction principle by Ling YANG, Qin HAN, Li CHENG, Aonan ZHAO, Juan DU

Subjects: “…recursive least square algorithm…”
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A Double-Threshold Based Spectrum Allocation Algorithm in Cognitive Radio System by Jiongtao Wang, Ming Jin, Youming Li, Jingjing Zheng

“…Based on the spectrum allocation of Underlay model in cognitive radio systems,a double-threshold based spectrum allocation algorithm was proposed.Two signal-to-noise radio（SNR）thresholds were also given.If SNR is less than the small threshold,aiming to maximize the channel capacity of the primary users,some second users are chosen to cooperate with primary users to communicate data.If SNR is larger than the big threshold,considering to maximize the number of the second users accessing the spectrum,some second users are allowed to use the occupied spectrum with low power.If SNR is between the two thresholds,primary users occupy the spectrum alone.Simulation and numerical results illustrate the reliability of the theoretical analysis.…”
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Spectrum allocation based on quantum cuckoo search algorithm in cognitive radio network by Xianping WANG, Hui CAO

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Dynamic Coverage Based on Neural Gas Learning Algorithm for Wireless Sensor Network by Yanjing Sun, Jiansheng Qian, Li Li

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Numerical Algorithm Based on Haar-Sinc Collocation Method for Solving the Hyperbolic PDEs by A. Pirkhedri, H. H. S. Javadi, H. R. Navidi

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