Topology restoration algorithm for heterogeneous sensor networks based on connected dominating tree by Ting-jun SHI, Xu-ming FANG, Yun YANG

“…For currently lacking the study of the topology restoration algorithm for heterogeneous sensor networks,a topology restoration algorithm for heterogeneous sensor networks based on connected dominating tree (HSNTR) was proposed.Firstly the algorithm constructed a virtual backbone forwarding data at very low cost,and secondly when a node fails,the algorithm would dynamically locally restore the backbone to make it still connect and cover all nodes.Theoretical analysis proved the maximum number of nodes the algorithm uses during constructing and restoring the backbone.Simulation analysis showed that the algorithm is better than other algorithms in terms of energy efficiency,scalability and reliability.…”
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Link prediction of heterogeneous complex networks based on an improved embedding learning algorithm by Lang Chai, Rui Huang

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Application of the 2-archive multi-objective cuckoo search algorithm for structure optimization by Ghanshyam G. Tejani, Nikunj Mashru, Pinank Patel, Sunil Kumar Sharma, Emre Celik

“…Such a comparison has been made with various performance metrics to compare and benchmark the efficacy of the proposed algorithm. These metrics comprehensively assess the algorithms' abilities to generate diverse and optimal solutions. …”
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Least-Squares Parameter Estimation Algorithm for a Class of Input Nonlinear Systems by Weili Xiong, Wei Fan, Rui Ding

“…The basic idea is to obtain linear-in-parameters models by overparameterizing such nonlinear systems and to use the least-squares algorithm to estimate the unknown parameter vectors. …”
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Retracted: Using Camshift and Kalman Algorithm to Trajectory Characteristic Matching of Basketball Players by null Complexity

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Railway safety monitoring algorithm based on distributed optical fiber vibration sensor by Fuyang CHEN, Bin JIANG, Yu SHA

“…Aiming at the monitoring problem of the human climbing behaviour existing along the railway,a railway safety detection algorithm based on distributed optical fiber vibration sensors was proposed by combining the distributed optical fiber sensing technology and signal analysis technology.The surrounding vibration was sensed and transmitted through the optical cables laid along the fence network of the railway,and then the Internet of things (IoT) connection between the railway and monitoring algorithm was built to realize the intelligent monitoring of the climbing behavior.In view of the complicated surrounding environment of the railway and more interference,the Hamming window and wavelet threshold denoising method were used to filter the signal of each frame to improve the signal-to-noise ratio of the vibration signal.In the selection of features,the power spectrum and short-time over-level rate of the signal were extracted from the time domain and frequency domain respectively as a joint feature to determine whether there was climbing or creeping behavior.Since that the climbing behavior was spatially continuous,the minimum alarm range was set to filter out alarms with a too small range,which improved the accuracy of the monitoring system.…”
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Enhanced-throughput multipath routing algorithm based on network coding in IoVs by Cun-qun FAN, Shang-guang WANG, Wen-zhe GU, Qi-bo SUN, Fang-chun YANG

“…Hence, a multipath routing algorithm was pro-posed for enhancing throughput. The core of the algorithm is to make the vehicle clustering algorithm support network cod-ing, which can achieve the purpose of recovery of disorder and lost packets. …”
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Channel Parameter Estimation for Scatter Cluster Model Using Modified MUSIC Algorithm by Jinsheng Yang, Xuzhao Wu, Qing Wang

“…The simulation results indicated that the proposed algorithm has lower complexity and is less time-consuming in the dense multipath environment than SAGE algorithm. …”
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Modified robust time delay estimation algorithm based on cyclostationarity in impulsive noise by Yang LIU, Tian-shuang QIU, Jing-chun LI

“…The problem of time delay estimation (TDE) for cyclostationary signals in the presence of α-stable distribution impulsive noise and interfering signals was addressed.Since the conventional algorithms based on the second-order cy-clic spectral correlation function degenerated severely in impulsive noise environment,a novel robust algorithm based on the fractional lower-order spectrum was proposed.Compared with conventional spectra analysis methods,this novel method could suppress Gaussian noise,non-Gaussian impulsive noise and interfering signals more effectively.Simulation results demonstrate the effectiveness and robustness of the novel algorithm.…”
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Application of Escape Discrete Differential Evolution Algorithm in Optimal Design of Gear Transmission by Che Linxian, Yi Jian, He Bing

Subjects: “…Differential evolution algorithm…”
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Fast Hankel Transforms Algorithm Based on Kernel Function Interpolation with Exponential Functions by Huaiqing Zhang, Yu Chen, Xin Nie

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DTW-based multi-wavelet data compression algorithm for wireless sensor networks by Si-wang ZHOU, Lan LI

“…A data compression algorithm for wireless sensor networks based on DTW and multi-wavelet transform is pro-posed. …”
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Infrared Dim Small Target Detection Algorithm with Large-Size Receptive Fields by Xiaozhen Wang, Chengshan Han, Jiaqi Li, Ting Nie, Mingxuan Li, Xiaofeng Wang, Liang Huang

“…The experimental results show that our proposed algorithm outperforms other state-of-the-art algorithms in all evaluation metrics.…”
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E-Commerce Logistics Path Optimization Based on a Hybrid Genetic Algorithm by Dong Yang, Peijian Wu

“…For the first time, we used a hybrid genetic algorithm to optimize the e-commerce logistics path, and the optimized results are more reasonable than other algorithms.…”
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Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates by Roulet, Vincent, Srinivasa, Siddhartha, Fazel, Maryam, Harchaoui, Zaid

“…Iterative optimization algorithms depend on access to information about the objective function. …”
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Incremental cooperative spectrum sensing algorithm with n-out-of-K fusion rule by Xiao-ge ZHANG, Shi-bing ZHANG, Gong-an QIU

“…The algorithm divided the total relays into two subsections.The front subsection included N number of relays,and the later one included K−N number of relays.Firstly,the front N relays sensed the spectrum.If no more than m_L number of relays had detected the existing of the primary user,the global detection was that the spectrum holes existed.If more than m_H number of relays had detected the existing of the primary user,the global detection was that no spectrum holes existed.Otherwise,the later K−N number of relays continued to sense the spectrum.The global detection was that the spectrum holes existed only when there were totally over n number of relays having detected the existing of the primary user in the two sensing stages.The object function was built for minimizing the time-slot consumption by adjusting the parameters m_L,m_H and N with the limit of detection probability and false probability.Simulation results show that the proposed incremental cooperative spectrum sensing algorithm has much lower time-slot consumption than the traditional one by properly setting the parameters with high sensing performance kept.…”
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Fast adaptive mode decision algorithm for H.264 based on spatial correlation by FENG Bin, LIU Wen-yu, ZHU Guang-xi

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Structure-free and dynamic-adaptive data fusion algorithm for wireless sensor networks by Jun YUE, Wei-ming ZHANG, Wei-dong XIAO, Da-quan TANG, Jiu-yang TANG

“…Researches on the problem that the existing data fusion algorithms couldn't satisfy the new application re-quirements,ie,frequent dynamic change of network and hi demand with reliability of data communication,a struc-ture-free and dynamic-adaptive data fusion algorithm was presented which divided the network into several grids,sensors perform data communication according to grids and adopt many-to-many data communication manner,there was no need for sensors to establish and maintain a structure.The results of simulation experiments show that this algorithm is able to adapt the dynamic change of network and offer high reliable data communication while performs the task of data fusion.…”
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Machine-Vision-Based Enhanced Deep Genetic Algorithm for Robot Action Analysis by Guifeng Wang, Lu-ming Zhang, Yichuan Sheng

“…Meanwhile, the genetic algorithm rule is modified ant settlement algorithm program. …”
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Fair and efficient opportunistic interference alignment algorithm based on round-robin scheduling by Xian-zhong XIE, Hua-bing LU, Zhao-yuan SHI

“…Opportunistic interference alignment (OIA) algorithm was proposed for the practical implementation of interference alignment (IA).A fair and efficient OIA algorithm was presented for the unfairness in resource allocation and high dependence of tremendous users in the existing OIA algorithms.Firstly,the users with the best channel was selected in the primary cell based on round-robin scheduling after the coordinate cluster was determined.Then,the interference from the primary users was eliminated by skillfully designing the useful signal spaces in the subordinate cells.Furthermore,the users with the minimum interference leakage was selected in the subordinate cells.Finally,the fairness performance was theoretically analyzed.Simulation results show that both the sum-rate and fairness of the proposed algorithm are significantly higher than that of the conventional algorithm with less interference leakage.Besides,the users can achieve a quick access.…”
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