Sparse Representation Based Range-Doppler Processing for Integrated OFDM Radar-Communication Networks by Bo Kong, Yuhao Wang, Henry Leung, Xiaohua Deng, Huilin Zhou, Fuhui Zhou

“…The expression of modulation Symbol-Domain method combined with sparse representation (SR) for range-Doppler estimation is introduced and a parallel reconstruction algorithm is employed. The radar target detection performance is improved with less spectrum occupation. …”
Get full text

Optimization of Sound Transmission Loss through a Thin Functionally Graded Material Cylindrical Shell by Ali Nouri, Sohrab Astaraki

“…The maximizing of sound transmission loss (TL) across a functionally graded material (FGM) cylindrical shell has been conducted using a genetic algorithm (GA). To prevent the softening effect from occurring due to optimization, the objective function is modified based on the first resonant frequency. …”
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

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

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

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

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

Adaptive Output Tracking of Driven Oscillators by Lili Diao, Martin Guay

“…An adaptive learning algorithm is exploited that guarantees the stability of the closed-loop system and convergence of the output tracking error to an adjustable neighborhood of the origin. …”
Get full text

Cognitive Inference Device for Activity Supervision in the Elderly by Nilamadhab Mishra, Chung-Chih Lin, Hsien-Tsung Chang

“…To frame the CI-device, we propose a device design framework along with an inference algorithm and implement the designs through an artificial neural model with different configurations, mapping the CI-device’s functions to minimise the device’s prediction error. …”
Get full text

Efficient Simulation Budget Allocation for Ranking the Top m Designs by Hui Xiao, Loo Hay Lee

“…To implement the simulation budget allocation rule, we suggest a heuristic sequential algorithm. Numerical experiments are conducted to compare the effectiveness of the proposed simulation budget allocation rule. …”
Get full text

A Coupled Discrete-Finite Element Method for Shear Strength Analysis of Geogrid-Reinforced Railway Ballast by Danyang Ji, Zheng Ma, Junjie Zhou, Yajun Li, Shuai Shao

“…Continuum geogrid is modeled by a two-node beam element with six degrees of freedom. A contact algorithm based on the static equilibrium is proposed at the geogrid-ballast contact surface. …”
Get full text

A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting by Yanhui Zhang, Shili Lin, Haiping Ma, Yuanjun Guo, Wei Feng

“…This paper proposes a radial basis function neural network model based on the pigeon-inspired optimization method and successfully applies the algorithm to predict the parallel branch current of the battery pack. …”
Get full text

The Characteristics of Metaheuristic Method in Selection of Path Pairs on Multicriteria Ad Hoc Networks by Nyoman Gunantara, I Dewa Nyoman Nurweda Putra

“…This research analyzes the metaheuristic methods, that is, ant colony optimization (ACO), genetic algorithm (GA), and particle swarm optimization (PSO), in the selection of path pairs on multicriteria ad hoc network. …”
Get full text