Design and Dynamics Performance Simulation Analysis of a New Series Elastic Actuator by Wang Caidong, Wang Yichen, Zhu Jianxin, Hu Yakai, Liu Xiaoli, Dong Xiangsheng, Wang Xinjie

“…The control law for the flexible joint is derived by the backstepping algorithm. To validate the effectiveness of the proposed SEA and the control law, the dynamic performance of the flexible joint with interference torques is simulated by Matlab and Adams. …”
Get full text

An optimization model for network design in disaster relief planning by Kevin Palomino, Carmen Berdugo-Correa, David García-Barrios

“…A solution involving the use of branch-and-cut algorithm with the help of GeoJSON API and Python code was proposed. …”
Get full text

Cooperative sensing method considering malicious nodes in cognitive radio networks by Xiao-gang QI, Sheng-yu ZHENG, Li-fang LIU, Hui-fang WANG

“…Based on a more practical cognitive radio network with malicious users,the spectrum sharing network model based on the cooperative spectrum sensing was studied that the secondary user can dynamically adjust its transmit power based on cooperative sensing results.To avoid significant reduction in performance of spectrum sensing system caused by malicious nodes,it is aimed to study how to improve the performance of cooperative sensing.By introducing the convex optimization problem,the secondary network throughput is maximized under the certain detection probability conditions and the corresponding power constraints.Simulation results show that whether or not there are malicious nodes,the algorithm is efficient in calculating optimal sensing time and the optimal transmit powers,and the secondary network throughput is increased when the maximum interference power limits and the maximum transmit power restrictions are decreased.…”
Get full text

A New Synergistic Forecasting Method for Short-Term Traffic Flow with Event-Triggered Strong Fluctuation by Darong Huang, Zhenping Deng, Bo Mi

“…Directing against the shortcoming of low accuracy in short-term traffic flow prediction caused by strong traffic flow fluctuation, a novel method for short-term traffic forecasting based on the combination of improved grey Verhulst prediction algorithm and first-order difference exponential smoothing is proposed. …”
Get full text

Feature Selection and Machine Learning Approaches for Detecting Sarcopenia Through Predictive Modeling by Akhrorbek Tukhtaev, Dilmurod Turimov, Jiyoun Kim, Wooseong Kim

“…Additionally, the CatBoost algorithm was used for training, and SMOTE-Tomek addressed dataset imbalance. …”
Get full text

Optimization and Rule Analysis of Drawdown Level before Flood Season of Longtan Hydropower Station by LIU Yongqi, HOU Guibing, GAO Weishan, LI Yuanyuan, WANG Baohua, LI Peng

“…Longtan Hydropower Station is the controlled reservoir of the Hongshui River.It is of significance for flood control,water supply,and power safety to study the optimal drawdown level before flood seasons in this station.Based on analyzing the drawdown level and operation requirements of Longtan Hydropower Station,this paper develops an operation model for the optimal drawdown of the station and solves the model efficiently by the evolutionary algorithm.Then,the optimization rule of the drawdown level in Longtan Hydropower Station is analyzed in depth and derived based on the multi-year optimal operation scheme set.The results show that the multi-year average power generation efficiency of cascade reservoirs can be significantly improved by optimizing the drawdown level process before flood seasons in Longtan Hydropower Station.Additionally,the derived operation rule can provide technical support for actual operations.…”
Get full text

Photovoltaic Power System with an Interleaving Boost Converter for Battery Charger Applications by Sheng-Yu Tseng, Cheng-Tao Tsai

“…In order to draw the maximum power from PV arrays and obtain the optimal power control of the battery charger, a perturbation-and-observation method and microchip are incorporated to implement maximum power point tracking (MPPT) algorithm and power management. Finally, a prototype battery charger is built and implemented. …”
Get full text

Improvement of and Parameter Identification for the Bimodal Time-Varying Modified Kanai-Tajimi Power Spectral Model by Huiguo Chen, Ting Zhong, Guocui Liu, Junru Ren

“…Based on the Kanai-Tajimi power spectrum filtering method proposed by Du Xiuli et al., a genetic algorithm and a quadratic optimization identification technique are employed to improve the bimodal time-varying modified Kanai-Tajimi power spectral model and the parameter identification method proposed by Vlachos et al. …”
Get full text

TECHNIQUES FOR FORMATION OF FERROELECTRIC PHOTONIC AND PHONONIC CRYSTALS by V. V. Krutov, A. S. Sigov, A. A. Shchuka

“…Results of the works executed in Moscow Technological University are briefly described. The algorithm for calculating the technological parameters of domain structure formation by the acoustic-interference method is developed. …”
Get full text

Application of Two-Dimensional Compressive Sensing to Wavelet Method of Moments for Fast Analysis of Wide-Angle Electromagnetic Scattering Problems by Yi Liu, Qi Qi, Xinyuan Cao, Mingsheng Chen, Guoqing Deng, Zhixiang Huang, Xianliang Wu

“…Finally, after completing the other side of the bilateral sparse transform, the wide-angle problems can be solved rapidly by two times of recovery algorithm with prior knowledge. The basic principle is elaborated in detail, and the effectiveness is demonstrated by numerical experiments.…”
Get full text

Successive relaying secure transmission scheme based on inter-relay interference cancellation by Yi ZOU, Kai-zhi HUANG, Xiao-lei KANG

“…A secure scheme based on inter-relay interference cancellation was proposed to solve untrusted relay eavesdropping problem in successive relaying systems.First inter-relay interference between trusted relay and untrusted relay was exploited as artificial noise to degrade untrusted relay’s eavesdropping condition,then interference iterative cancellation was adapted to improve signal quality at legitimate user by making use of correlation between signals in time domain.Based on this,a quick power allocation algorithm aiming to minimize untrusted relay’s sum rate was proposed.Analysis and simulation results show that the proposed scheme suppress untrusted relay’s eavesdropping without loss of communication efficiency,a promotion of at least 2 bit·s^-1·Hz^-1in secrecy rate can be observed.…”
Get full text

Analytical Properties of Credibilistic Expectation Functions by Shuming Wang, Bo Wang, Junzo Watada

“…The expectation function of fuzzy variable is an important and widely used criterion in fuzzy optimization, and sound properties on the expectation function may help in model analysis and solution algorithm design for the fuzzy optimization problems. …”
Get full text

An Evolutionary Video Assignment Optimization Technique for VOD System in Heterogeneous Environment by King-Man Ho, Wing-Fai Poon, Kwok-Tung Lo

“…In order to find a near-optimal solution for such a complex video assignment problem, an evolutionary approach based on genetic algorithm (GA) is proposed. From the results, it is shown that the system performance can be significantly enhanced by efficiently coupling the various techniques.…”
Get full text

Grading Prediction of Enterprise Financial Crisis Based on Nonlinear Programming Evaluation: A Case Study of Chinese Transportation Industry by Zhi-yuan Li

“…Therefore, a new evaluation model based on nonlinear programming is established, the nature of the model is proved, the detailed solution steps of the model are given, and the significance and algorithm of the model are thoroughly discussed in this study. …”
Get full text

A Vector Bond Graph Method of Dynamics Modeling for Planar Multi-body Systems with Grooved Sheave by Wang Zhongshuang, Zhao Yanwei, Xu Changshun

“…By using the corresponding algorithm,the computer automatic modeling and dynamics analysis of the planar multi-body system containing grooved sheave on a computer is realized,its validity is illustrated.…”
Get full text

Optimum Intervention in Transportation Networks Using Multimodal System under Fuzzy Stochastic Environment by Gurupada Maity, Vincent F. Yu, Sankar Kumar Roy

“…This research designs a new method for solving the Transportation Problem (TP) by introducing multimodal transport systems under fuzzy-stochastic environment, which we refer to as Fuzzy-Stochastic Multimodal Transportation Problem (FSMMTP). An algorithm is developed to reduce FSMMTP to a deterministic TP, which is mainly based on α-cut of fuzzy numbers, and uses a signed distance function based on the mean expectation of the fuzzy-stochastic cost parameters. …”
Get full text

Vertical handover policy for cyber-physical systems aided by SAGIN based on deep reinforcement learning by WU Yan, PAN Guangchuan, YAO Mingwu, YANG Qinghai, LEUNG Victor C.M.

“…By jointly taking the system stability, handover cost and network-using cost into account, the vertical handover policy problem was modeled as a constraint Markov decision process (CMDP), and a sufficient condition to ensure the existence of a feasible solution was derived.Furthermore, a constraint-proximal policy optimization (CPPO) algorithm was proposed to solve the CMDP, and also the distributed learning scheme at base station sides was introduced to accelerate the speed of converging. …”
Get full text

Learning-Based Dark and Blurred Underwater Image Restoration by Yifeng Xu, Huigang Wang, Garth Douglas Cooper, Shaowei Rong, Weitao Sun

“…Due to the high-quality training data, the proposed restoration algorithm based on deep learning achieves inspiring results for underwater images taken in a low-light environment. …”
Get full text

A Prediction-Correction Dynamic Method for Large-Scale Generalized Eigenvalue Problems by Xin-long Luo, Jia-ru Lin, Wei-ling Wu

“…The local superlinear convergence property for this new algorithm is also established. Finally, in comparison with other methods, some promising numerical experiments are presented.…”
Get full text

A New Early Rumor Detection Model Based on BiGRU Neural Network by Xiangning Chen, Caiyun Wang, Dong Li, Xuemei Sun

“…Specifically, in this model, the input data is firstly refined through account filtering and data standardization, then the BiGRU is used to consider the context relationship, and a reinforcement learning algorithm is applied to detection. Experimental results show that compared with other early rumor detection models (e.g., checkpoints), the accuracy of the proposed model is improved by 0.5% with the same speed, which testifies the effectiveness of this model.…”
Get full text