Power Resource Allocation Algorithm for Dual-Function Radar–Communication System by Yue Xiao, Zhenkai Zhang, Xiaoke Shang

“…Finally, the optimal value is combined with the original model and transformed into a single objective optimization model, and the optimal power is obtained by solving the model through the iterative optimization algorithm. Simulation results show that, compared with other power allocation algorithms, the proposed algorithm can achieve better radar-communication integration performance under the same transmit power.…”
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SDN based network resource selection multi-objective optimization algorithm by Nan BAO, Jiakuo ZUO, Han HU, Xu BAO

“…For the problem of coexistence of different resource utility objectives and mutual influence of resource selection strategies in the complex structure of software-defined network (SDN),an SDN based network resource selection multi-objective optimization algorithm was proposed.The optimization goals of resource providers and clients were taken into account in the algorithm,and a resource selection multi-objective optimization model was constructed.The model was further solved by the reference vector based multi-objective optimization algorithm.Simulation results show that compared with other algorithms,the proposed algorithm could quickly converge to the uniformly distributed non-inferior solution set,and balance the optimization objects of multi-party in SDN based resource access management.…”
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Reduction algorithm based on supervised discriminant projection for network security data by Fangfang GUO, Hongwu LYU, Weilin REN, Ruini WANG

“…In response to the problem that for dimensionality reduction, traditional manifold learning algorithm did not consider the raw data category information, and the degree of clustering was generally at a low level, a manifold learning dimensionality reduction algorithm with supervised discriminant projection (SDP) was proposed to improve the dimensionality reduction effects of network security data.On the basis of the nearest neighbor matrix, the label information of the raw data category was exploited to construct a supervised discriminant matrix in order to translate unsupervised popular learning into supervised learning.The target was to find a low dimensional projective space with both maximum global divergence matrix and minimum local divergence matrix, ensuring that the same kind of data was concentrated and heterogeneous data was scattered after dimensionality reduction projection.The experimental results show that the SDP algorithm, compared with the traditional dimensionality reduction algorithms, can effectively remove redundant data with low time complexity.Meanwhile the data after dimensionality reduction is more concentrated, and the heterogeneous samples are more dispersed, suitable for the actual network security data analysis model.…”
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Task distribution offloading algorithm of vehicle edge network based on DQN by Haitao ZHAO, Tangwei ZHANG, Yue CHEN, Houlin ZHAO, Hongbo ZHU

“…In order to achieve the best balance between latency,computational rate and energy consumption,for a edge access network of IoV,a distribution offloading algorithm based on deep Q network (DQN) was considered.Firstly,these tasks of different vehicles were prioritized according to the analytic hierarchy process (AHP),so as to give different weights to the task processing rate to establish a relationship model.Secondly,by introducing edge computing based on DQN,the task offloading model was established by making weighted sum of task processing rate as optimization goal,which realized the long-term utility of strategies for offloading decisions.The performance evaluation results show that,compared with the Q-learning algorithm,the average task processing delay of the proposed method can effectively improve the task offload efficiency.…”
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Target counting algorithm via local signal recovery in sensor networks by Wen-tao JIANG, Li-min SUN, Jun-wei LV, Hong-song ZHU

“…In view of the deficiencies of existing targets counting algorithms in sensor networks,a local signal recovery based target counting algorithm(LSR)was proposed.LSR firstly searched for the possible local area where targets may exist,and then established a local signal recover model according to signal attenuation characteristic and nodes' distribu-tion.Finally,LSR sought the best target distribution estimation in each possible local area through the established model and obtained the target counting result by summarizing the estimations.Simulation results demonstrate that LSR pos-sesses good merits in counting precision,noise tolerance and energy consumption.…”
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A new cooperation spectrum sensing algorithm based on energy detection by Caimei FU, Youming LI, Guili ZHOU, Mingchen YU, Jingwen TONG, Xupeng WANG

“…To improve the reliability of spectrum sensing in cognitive radio system,a new cooperation spectrum sensing algorithm was proposed.In this algorithm,the property of the low probability between adjacent frames of the states change was used and then the decision was made by combing the energy value of the current sensing frame with that of the neighboring frame.Therefore,the proposed algorithm could decrease the miss detection probability in case of the instantaneous signal energy dropping when primary user used the licensed spectrum.Furthermore,theoretical expressions for detection probability and false alarm probability were derived.Finally,theoretical analysis and simulation results verify that the detection performance of the proposed algorithm is better than that of cooperative spectrum sensing which is based on the classical energy detection.…”
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Digital Image Automatic Recognition and Tracking Based on Electronic Derotation Algorithm by Meirong Gao

“…The simulation experiment results show that the electronic derotation algorithm is effective and can support the automatic recognition and tracking of digital images.…”
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3D Self-Deployment Algorithm in Mobile Wireless Sensor Networks by Chunyu Miao, Guoyong Dai, Xiaomin Zhao, Zhongze Tang, Qingzhang Chen

“…Aimed at the problem of sensor deployment in three-dimensional spaces, the 3D self-deployment (3DSD) algorithm in mobile sensor networks is proposed. A 3D virtual force model is utilized in the 3DSD method. …”
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Trust transitivity algorithm based on multiple influencing factors for grid environment by ZHANG Lin1, WANG Ru-chuan1, WANG Hai-yan1

“…A trust deployment scheme based on layered idea was given for grid environment,which reduced the man-agement costs of system.The fine-grain trust model was proposed which was based on interaction capability and honesty ability.It enhanced the rationality of the model.At the same time,4 influencing factors about trust transitivity were dis-cussed,such as cycle path,path length threshold,node honesty threshold and further trust information.On this condition,the trust transitivity algorithm for grid was studied which was based on depth-first traversal.Example and experimental results show that the model and algorithm are feasible and correct.…”
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A Branch and Bound Algorithm for Agile Earth Observation Satellite Scheduling by Xiaogeng Chu, Yuning Chen, Lining Xing

“…The results showed that the proposed algorithm is efficient enough for engineering application. …”
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Fund Performance Evaluation Based on Bayesian Model and Machine Learning Algorithm by Shuanbao Li, Shenming Qu

“…Based on Bayesian method, this paper constructs a model for estimating fund performance evaluation, and uses machine learning algorithm to construct a sampler that can sample on the basis of conditional distribution. …”
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Power Prioritization and Load Shedding in an Island with RESs Using ABC Algorithm by L. O. Mogaka, G. N. Nyakoe, M. J. Saulo

“…In this study, an islanded microgrid with high penetration of Renewable Energy Sources (RESs) is analyzed, and then Artificial Bee Colony (ABC) algorithm is applied for optimal load shedding. The results are then compared with those of Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and GA-PSO hybrid. …”
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Time synchronization algorithm based on mobility model for underwater sensor networks by qiang WANGHui, xiu WENXiu, yu LINJun, sheng FENGGuang, wu LYUHong

“…Thus, based on the equation, a time synchronization algorithm (MM-sync) was proposed. The experiment results show that MM-sync can reduce the consumption of energy, and can get higher accuracy than state-of-art solutions in high density underwater sensor networks with rapid movement.…”
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Fingerprint localization algorithm based on linear spatial dependence of WLAN RSS by Xiaoliang XU, Jian GAO, He HUANG, Zhe MA

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FMCW radar range estimation algorithm based on fast iterative interpolation by Yongchang DUAN, Xin LI, Yaohui HUANG, Ping HUANG

“…For the multi-target detection,a multi-objective range estimation algorithm was proposed based on iterative interpolation to solve the problem of the range accuracy of frequency modulation continuous wave (FMCW) radar being easy to be interfered by spectrum.Firstly,the number of targets and the rough location of the target were obtained through the fast Fourier transform (FFT) and the constant false alarm (CFAR) detection algorithm.Then spectrum was iteratively interpolate,and the inter-spectral interference was eliminated during each iteration to obtain more accurate distance.Simulation results show that the proposed algorithm has higher estimation accuracy in multi-target environment and low Signal-to-noise ratio(SNR).The proposed algorithm is implemented by DSP,which proved that the algorithm meets the real-time requirements and is easy to be implemented in engineering.…”
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Joint beamforming optimization algorithm for secure cognitive radio based on STARS by Chenchi WEN, Jiakuo ZUO, Nan BAO, Pengfei ZHAO

“…Secure cognitive radio (SCR) system based on reconfigurable intelligent surface (RIS) assumes that secondary user (SU) and primary user (PU) locate on the same side of the base station (BS), which can only cover part of the communication area and limits the deployment flexibility and effectiveness of the RIS.In order to solve the above problem, a new SCR system based on simultaneously transmitting and reflecting surface (STARS) was proposed.In the system, STARS could achieve full coverage of communication area, improve the received signal strength of the SU with the transmission beamforming vector and reduce the interference of the SU to the PU with the reflection beamforming vector, which provided new optimization degree of freedom (DoF) for the design of the SCR system.Considering secrecy rate constraint of the SU, interference power constraint (IPC) of the PU and transmission/reflection parameters constraint of the STARS, BS active beamforming vector and STARS transmission/reflection beamforming vectors were jointly optimized to minimize the BS’s transmit power from the perspective of reducing the total power consumption of the system.The minimization problem is a variable coupling non-convex problem, which is difficult to tackle directly.An alternating optimization (AO) algorithm based on difference-of-convex relaxation (DCR) method and sequential rank-one constraint relaxation (SROCR) method was proposed to jointly design the BS active beamforming vector and STARS transmission/reflection beamforming vectors.Simulation results show that the proposed algorithm has good convergence performance and effectively reduces the interference of SU on PU.Compared with the traditional RIS, random phase, maximum-ratio transmission (MRT) and equal energy splitting (Equal ES) schemes, the BS transmitting power is reduced by 8.3%, 15.4%, 5.9% and 5.3%, respectively.…”
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ESYN:efficient synchronization clustering algorithm based on dynamic synchronization model by Xue-wen DONG, Chao YANG, Li-jie SHENG, Jian-feng MA

“…Clustering is an important research field in data mining.Based on dynamical synchronization model,an efficient synchronization clustering algorithm ESYN is proposed.Firstly,based on local structure information of a non-vector network,a new concept vertex similarity is brought up to describe the link density between vertices.Secondly,the network is vectoried by OPTICS algorithm and turned into one-dimensional coordination sequence.Finally,global coupling analysis is applied to generalized Kuramoto synchronization model,synchronization radius is increased and the optimal clustering result is automatically selected.The experimental results on a large number of synthetic and real-world networks show that proposed algorithm achieves high accuracy.…”
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PID CONTROLLER FOR SPEED CONTROL OF PMSM BASED ON MAYFLY OPTIMIZATION ALGORITHM by Fatimah F. Jaber

“…Nuptial dancing and random flight improve the ability of the algorithm to balance its features of exploitation and exploration while assisting in its escape from local optima. …”
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A Marine Object Detection Algorithm Based on SSD and Feature Enhancement by Kai Hu, Feiyu Lu, Meixia Lu, Zhiliang Deng, Yunping Liu

“…Based on the classic SSD algorithm, this paper proposes a feature-enhanced sea urchin detection algorithm. …”
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Retracted: Image Target Detection Algorithm of Smart City Management Cases by Ping Tan, Kedun Mao, Sheng Zhou

“…The ultra-spectral target detection algorithm extracts some content indicators from the initial data, and finally realizes the optimization of the algorithm. …”
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