Error-parameter analysis based blind identification and super-resolution restoration algorithm by YAN Hua1, LIU Ju2, SUN Jian-de2, HUANG Qing-mimg3

“…If motion estimation was inaccurate, searching algorithm could be combined with error-parameter analysis to reduce computation cost. …”
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Probability Density Evolution Algorithm for Stochastic Dynamical Systems Based on Fractional Calculus by Yang Yan, Xiaohong Yu

“…Dynamical models of the dynamic system and coupled system “three-car vehicle-rail-bridge” are established, the time-varying differential equations of motion are derived in detail, and the dynamic response of the system is calculated using the explicit Newmark algorithm. The simulation results show the influence of the number of representative points on the smoothness of the image of the probability density function and the accuracy of the calculation results.…”
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Kinetic-Monte-Carlo-Based Parallel Evolution Simulation Algorithm of Dust Particles by Xiaomei Hu, Zhifeng Xu, Hongxia Cai, Junjun Hu

“…The evolution simulation of dust particles provides an important way to analyze the impact of dust on the environment. KMC-based parallel algorithm is proposed to simulate the evolution of dust particles. …”
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Fuzzy adaptive algorithm based on modified current statistical model for vehicle positioning by Zhen-hong SHAO, Wen-feng3 LI, Yi WU, Qiong YANG, Lian-feng SHEN

“…Moreover, a modified current statistical model based-fuzzy adaptive extended Kalman filter (MCS-FAEKF)algorithm was proposed to choose maneuvering model and adjust system noise covariance dynamically. …”
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Enhancing Diversity and Convergence in MMOPs with a Gaussian Similarity-Based Evolutionary Algorithm by Shizhao Wei, Da-Jung Cho

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Energy efficiency joint optimization algorithm for mixed-ADC massive MIMO systems by Haiyan CAO, Zhongliang WANG, Hao XU, Qianhong CHEN, Fangmin XU

“…An energy efficiency optimization algorithm was proposed for the uplink of massive MIMO system with mixed precision analog-to-digital converter (ADC) at the receiver.Based on the maximum ratio combining detection algorithm (MRC), the approximate closed-form expression of system uplink energy efficiency was derived.Firstly, the proportion of high-precision ADC was determined, and then the quantization accuracy of low-resolution ADC, the user’s transmission power and the number of antennas at the base station was taken as the optimization objectives to alternately iterate to obtain the optimal energy efficiency value.Furthermore, the influence on energy efficiency and spectrum efficiency was analyzed by adjusting the proportion of high-precision ADC.The simulation results show that the proposed algorithm has high energy efficiency, and can achieve a better balance between energy efficiency and spectrum efficiency by adjusting the proportion of high-precision ADC.…”
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Improving Accuracy of River Flow Forecasting Using LSSVR with Gravitational Search Algorithm by Rana Muhammad Adnan, Xiaohui Yuan, Ozgur Kisi, Rabia Anam

“…In this paper, the accuracy of multivariate adaptive regression splines (MARS), model 5 regression tree (M5RT), and conventional multiple linear regression (CMLR) is compared with a hybrid least square support vector regression-gravitational search algorithm (HLGSA) in predicting monthly river flows. …”
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Estimation algorithm for sparse channels with gradient guided p-norm like constraints by Fei-yun WU, Yue-hai ZHOU, Feng TONG

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State transition probability based sensing duration optimization algorithm in cognitive radio by ZHANG Xiao, WANG Jin-long, WU Qi-hui

“…The sensing duration to use is a trade-off between sensing performance and system efficiencies.The relation-ship between sensing duration and state transition probability was analyzed when the licensed channel stays in the idle and busy states respectively,based on which,a state transition probability prediction based sensing duration optimization algorithm was proposed.The proposed algorithm can use as little sensing duration in each frame as possible to satisfy the sensing performance constraints so as to maximize the energy and transmitting efficiencies of the cognitive networks.…”
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Developing a hybrid model for comparative analysis of financial data clustering algorithms by Mojtaba Movahedi, Mahdi Homayounfar, Mehdi Fadaei, Mansour Soufi

“…Purpose: Clustering algorithms are useful tools for understanding data structure and classifying them into different data sets. …”
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Micro-Trivium: A lightweight algorithm designed for radio frequency identification systems by Shiyong Zhang, Gongliang Chen

“…In this article, we generalize Trivium to the Trivium-Model algorithm and highlight that security is mainly determined by the internal state bits and the number of nonlinear terms. …”
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Node Deployment Algorithm Based on Viscous Fluid Model for Wireless Sensor Networks by Jiguang Chen, Huanyan Qian

“…With the scale expands, traditional deployment algorithms are becoming increasingly complicated than before, which are no longer fit for sensor networks. …”
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Performance-Based Seismic Design of Steel Frames Utilizing Colliding Bodies Algorithm by H. Veladi

“…The results of the new algorithm are compared to the conventional design methods to show the power or weakness of the algorithm.…”
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Self-adapted task allocation algorithm with complicated coalition in wireless sensor network by Wen-zhong GUO, Jin-shu SU, Cheng-yu CHEN, Guo-long CHEN

“…Considering the real-time requirement and some specific limitations (e.g.insufficient computing resource,energy constraint,etc) in task scheduling of wireless sensor networks,different priorities were assigned to tasks according to their deadline,and an adaptive task allocation algorithm with complicated coalition was designed through analyzing historical information.Moreover,a discrete particle swarm optimization algorithm was designed via employing binary matrix coding form.The proposed optimization algorithm generates coalitions in parallel and then performs subtask allocation algorithm based on load and energy balance.Finally,the experimental results show that the proposed algorithm strikes a good balance between local solution and global exploration,and achieves a satisfactory result within a short period of time.…”
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Algorithm Development and Design of Lattice Conical Shell Under Mechanical and Thermal Loads by Behrooz Shahriari, Mahdi Sharifi, Hassan Izanlo

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Novel adaptive generalized principal component analysis algorithm based on Hebbian rule by Yingbin GAO, Xiangyu KONG, Qiaohua CUI, Haidi DONG

“…In order to adaptively estimate the generalized principal component from input signals,a novel generalized principal component analysis algorithm was proposed based on the Hebbian linear neuron model.Since the autocorrelation matrices of the signals were estimated directly from the sampled data at the current time,the proposed algorithm had low computation complexity.Trough analyzing all of the equilibrium points by Lyapunov method,it is proven that if and only if the weight vector in the neuron had the same direction with the generalized principal component,the proposed algorithm attains the convergence status.Simulation results shows that compared with some same type algorithms,the proposed algorithm has faster convergence speed.…”
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Multi-type spectrum resources joint distribution algorithm based on guaranteed QoS by Ling LIU, Yongju XIAN, Jia ZHU

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Modified Whale Optimization Algorithm for Solar Cell and PV Module Parameter Identification by Xiaojia Ye, Wei Liu, Hong Li, Mingjing Wang, Chen Chi, Guoxi Liang, Huiling Chen, Hailong Huang

“…The whale optimization algorithm (WOA) is a powerful swarm intelligence method which has been widely used in various fields such as parameter identification of solar cells and PV modules. …”
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RETRACTED: Methods and algorithms for differentiated dietary nutrition during prenatal fetal development by Abdullayeva Zamira, Shikhnazarova Guzal, Fayzullaeva Zarnigor

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Dimensionality cutback and deep learning algorithms efficacy as to the breast cancer diagnostic dataset by Gennady Chuiko, Denys Honcharov

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