Robust Adaptive Fractional Fast Terminal Sliding Mode Controller for Microgyroscope by Juntao Fei, Zhe Wang, Xiao Liang

“…A new fast terminal switching manifold is defined to ensure fast finite convergence of the system states, where a fractional-order differentiation term emerges into terminal sliding surface, which additionally generates an extra degree of freedom and leads to better performance. Adaptive algorithm is applied to estimate the damping and stiffness coefficients, angular velocity, and the upper bound of the lumped nonlinearities. …”
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Study on High Performance of MPI-Based Parallel FDTD from WorkStation to Super Computer Platform by Z. L. He, K. Huang, Y. Zhang, Y. Yan, C. H. Liang

“…The general rules are presented on how to obtain the highest efficiency of parallel FDTD algorithm by optimizing MPI virtual topology. To show the validity of the presented method, several numerical results are given in the later part. …”
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The Legacy of Roland Glowinski by Bensoussan, Alain, Pironneau, Olivier

“…Nevertheless, we will try to extract his major contributions, such as the augmented Lagrangian algorithm, various domain decomposition and fictitious methods and their performance on the Navier–Stokes equations in a moving domain. …”
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A Radio-interferometric Imaging Method Based on the Wavelet Tight Frame by Xiaocheng Yang, Xiang You, Lin Wu, Jingye Yan, Feng Liu, Mingfeng Jiang, Junbao Zheng

“…To enhance computational efficiency, we employ the projected fast iterative soft-thresholding algorithm for solving the l _1 -norm minimization problem. …”
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Adaptive Energy Management Control for Efficiency Improvement of Supercapacitor-Based Energy Recovery System by Ģirts Staņa, Martin Makar, Kaspars Kroičs

“…Estimated current is used in the developed energy management algorithm that adapts current reference of an energy storage system to discharge stored energy in the most energy efficient way. …”
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Topological Optimization Design and Analysis of Ultra-short Harmonic Flexspline by Yan Li, Qiuping Liu, Yang Wang, Qianqian Liu

“…The optimization problem is solved by using the criterion of optimization algorithm based on Abaqus/ATOM software. The secondary design is carried out by using the SolidWorks， and through the finite element analysis， the rationality of results before and after optimization are verified. …”
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Vulnerability parameters in picture fuzzy soft graphs and their applications to locate a diagnosis center in cities by R. V Jaikumar, Raman Sundareswaran, Marayanagaraj Shanmugapriya, Said Broumi, Talal Ali Al-Hawary

“…Furthermore, a decision-making method for the PFSG has been presented using ÐÏ to suggest an algorithm for determining the ideal location for establishing a city diagnosis center…”
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Network-based malcode detection technology by WU Bing1, YUN Xiao-chun2, GAO Qi1

“…Following the analysis for traditional distributed IDS,disadvantages that applying structure of multiple engine and small rules set to detect network-level malcode were pointed out,which is based on detailed protocol decoding.Detection model and anti-malcode markup language of network-level malcode were designed for single engine and big rules set.The characteristics of network data flow were analyzed.By optimization of patterns,frequent collisions between suffix with data flow and unbalanced branched of chained list were avoided.The efficiency by using WM algorithm to detect malcode on network level can be remarkably increased.…”
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Design of home fire detection system based on wireless multi-sensor data fusion by Wenbin CHENG, Lei DU, Yiyi LIU

“…Aiming at the shortcomings of false alarm and leakage alarm in the existing fire detection system and the complicated wiring,high cost and poor flexibility of the traditional wired fire detection system,a set of home fire detection system based on wireless multi-sensor data fusion was designed,to detect the fire safety hazards caused by kitchen equipment aging,electrical wiring aging or electrical equipment aging.The design of multi-sensor data fusion algorithm,fire detection system hardware framework and software implementation were described in detail.The simulation results show that the scheme has the characteristics of high accuracy and flexibility.…”
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Interference avoidance strategy for ultra dense network with pilot reuse by Jie HUANG, Fan YANG, Yiwen GAO, Bowei ZHANG

“…In the ultra dense network (UDN),the pilot reuse scheme would produce significant interference,which will affect the accuracy of channel estimation.To solve this problem,an interference avoidance strategy for UDN with pilot reuse was proposed.An interference model of subcarriers for UDN was provided and the interference probability of subcarriers was derived.Then,based on the model,a pilot position selection model was proposed and an interference avoidance strategy for UDN with pilot reuse was provided.The simulation results show that compared with the traditional channel estimation algorithm,the channel estimation with proposed interference avoidance strategy can effectively avoid the interference and ensure the accuracy of channel estimation in UDN with pilot reuse.…”
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Microseismic Signal Classification Based on Artificial Neural Networks by Chong-wei Xin, Fu-xing Jiang, Guo-dong Jin

“…An automatic classification algorithm based on artificial neural networks (ANNs) has been proposed. …”
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Resource reservation based on relaxed policy for grid workflow by Peng XIAO, Zhi-gang HU, Chao-kun YAN, Xi-long QU

“…To address the problem that applications tend to overestimate reservation duration,a novel reservation technique based on overlapping relaxing policy was proposed,so as to mitigate the negative effects of stringent reservation mechanisms on system performance.The analysis of the relaxed policy was represented theoretically and a relaxed admission algorithm was designed for large-scale grid workflows.Experimental results show that relaxed policy can significantly mitigate the negative effects of classical policies when system is in presence of heavy workload.Experimental results based on a real workflow indicate that the relaxed policy is able to decreasing the efficiency loss due to the overestimation of reservation durations.…”
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Design of Meander-Line Antennas for Radio Frequency Identification Based on Multiobjective Optimization by X. L. Travassos, A. C. Lisboa, D. A. G. Vieira

“…Some results using a deterministic optimization algorithm are shown.…”
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Study on AdaBoost-based link quality prediction mechanism by Jian SHU, Man-lan LIU, Wei ZHENG

“…The link quality was vulnerable to the complexity environment in wireless sensor network.Obtaining link quality information in advance could reduce energy consumption of nodes.After analyzing the existing link quality prediction methods,AdaBoost-based link quality prediction mechanism was put forward.Link quality samples in deferent scenarios were collected.Density-based unsupervised clustering algorithm was employed to classify training samples into deferent link quality levels.The AdaBoost with SVM-based component classifiers was adopted to build link quality prediction mechanism.Experimental results show that the proposed mechanism has better prediction precision.…”
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Improving Probabilistic Error Cancellation in the Presence of Nonstationary Noise by Samudra Dasgupta, Travis S. Humble

“…Our experiments using a five-qubit implementation of the Bernstein–Vazirani algorithm and conducted on the ibm_kolkata device reveal a 42% improvement in accuracy and a 60% enhancement in stability compared to nonadaptive PEC. …”
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Energy saving in uplink cognitive cellular network by Xiao MA, Min SHENG, Yan ZHANG, Yu-zhou LI

“…To solve the problem that high data rate transmission will cause extremely energy consumption of users,a maximum energy efficiency(EE)strategy,based on the cognitive cellular network model,was proposed by utilizing the cognitive resources and concurrent transmission.According to the characteristics that the multimode user equipment can connect with heterogeneous networks simultaneously,the proposed strategy,establishes the EE model and obtains the algorithm for selecting the cognitive resources and distributing the data rate by analyzing the relationship among the channel state information of available networks,energy consumption and data rate.Simulation results show that the proposed strategy can increase the EE of MUE efficiently…”
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Fuzzy adaptive LS channel estimation for GO-MC-CDMA by WANG Yan1, LIU Hong-li1, ZHAN Jie1

“…The channel frequency response was constructed by choosing a certain number of the first estimate value which was handled by FFT interpolation.Therefore,the model mismatch error could be compensated effectively.In addition,the relationship between the mean-squared error（MSE） and the number of chosen first estimate value was analyzed by consid-ering the influence of the noise on LS Estimation method.Thus,the optimal criterion for obtaining the optimum number of first estimate value was explored with a fuzzy algorithm.The simulations demonstrate that the fuzzy adaptive LS channel es-timation performs is much better than the traditional LS Channel Estimation and that it is more robust with noise.…”
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Detection Method of Limb Movement in Competitive Sports Training Based on Deep Learning by Chunlin Qin, Shenglu Huo

“…The force change parameters of sports limb movements in the process of sports are computed to achieve the detection of limb movements in competitive sports training, and the limb movement characteristics in competitive sports training are extracted using a deep learning algorithm. The experimental results show that the limb movement detection method based on deep learning in competitive sports training has significantly higher detection accuracy and faster speed.…”
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On the Bivariate Spectral Homotopy Analysis Method Approach for Solving Nonlinear Evolution Partial Differential Equations by S. S. Motsa

“…The new approach, termed bivariate spectral homotopy analysis method (BISHAM), is based on the use of bivariate Lagrange interpolation in the so-called rule of solution expression of the HAM algorithm. The applicability of the new approach has been demonstrated by application on several examples of nonlinear evolution PDEs, namely, Fisher’s, Burgers-Fisher’s, Burger-Huxley’s, and Fitzhugh-Nagumo’s equations. …”
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Global Hopf Bifurcation Analysis for an Avian Influenza Virus Propagation Model with Nonlinear Incidence Rate and Delay by Yanhui Zhai, Ying Xiong, Xiaona Ma, Haiyun Bai

“…At first, local asymptotical stability and existence of Hopf bifurcation are studied; Hopf bifurcation occurs when time delay passes through a sequence of critical values. An explicit algorithm for determining the direction of the Hopf bifurcations and stability of the bifurcation periodic solutions is derived by applying the normal form theory and center manifold theorem. …”
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